WorldWideScience

Sample records for reserve meteorological metadata

  1. Metadata

    CERN Document Server

    Zeng, Marcia Lei

    2016-01-01

    Metadata remains the solution for describing the explosively growing, complex world of digital information, and continues to be of paramount importance for information professionals. Providing a solid grounding in the variety and interrelationships among different metadata types, Zeng and Qin's thorough revision of their benchmark text offers a comprehensive look at the metadata schemas that exist in the world of library and information science and beyond, as well as the contexts in which they operate. Cementing its value as both an LIS text and a handy reference for professionals already in the field, this book: * Lays out the fundamentals of metadata, including principles of metadata, structures of metadata vocabularies, and metadata descriptions * Surveys metadata standards and their applications in distinct domains and for various communities of metadata practice * Examines metadata building blocks, from modelling to defining properties, and from designing application profiles to implementing value vocabu...

  2. Metadata

    CERN Document Server

    Pomerantz, Jeffrey

    2015-01-01

    When "metadata" became breaking news, appearing in stories about surveillance by the National Security Agency, many members of the public encountered this once-obscure term from information science for the first time. Should people be reassured that the NSA was "only" collecting metadata about phone calls -- information about the caller, the recipient, the time, the duration, the location -- and not recordings of the conversations themselves? Or does phone call metadata reveal more than it seems? In this book, Jeffrey Pomerantz offers an accessible and concise introduction to metadata. In the era of ubiquitous computing, metadata has become infrastructural, like the electrical grid or the highway system. We interact with it or generate it every day. It is not, Pomerantz tell us, just "data about data." It is a means by which the complexity of an object is represented in a simpler form. For example, the title, the author, and the cover art are metadata about a book. When metadata does its job well, it fades i...

  3. Identifying and closing gaps in environmental monitoring by means of metadata, ecological regionalization and geostatistics using the UNESCO biosphere reserve Rhoen (Germany) as an example.

    Science.gov (United States)

    Schröder, Winfried; Pesch, Roland; Schmidt, Gunther

    2006-03-01

    In Germany, environmental monitoring is intended to provide a holistic view of the environmental condition. To this end the monitoring operated by the federal states must use harmonized, resp., standardized methods. In addition, the monitoring sites should cover the ecoregions without any geographical gaps, the monitoring design should have no gaps in terms of ecologically relevant measurement parameters, and the sample data should be spatially without any gaps. This article outlines the extent to which the Rhoen Biosphere Reserve, occupying a part of the German federal states of Bavaria, Hesse and Thuringia, fulfills the listed requirements. The investigation considered collection, data banking and analysis of monitoring data and metadata, ecological regionalization and geostatistics. Metadata on the monitoring networks were collected by questionnaires and provided a complete inventory and description of the monitoring activities in the reserve and its surroundings. The analysis of these metadata reveals that most of the monitoring methods are harmonized across the boundaries of the three federal states the Rhoen is part of. The monitoring networks that measure precipitation, surface water levels, and groundwater quality are particularly overrepresented in the central ecoregions of the biosphere reserve. Soil monitoring sites are more equally distributed within the ecoregions of the Rhoen. The number of sites for the monitoring of air pollutants is not sufficient to draw spatially valid conclusions. To fill these spatial gaps, additional data on the annual average values of the concentrations of air pollutants from monitoring sites outside of the biosphere reserve had therefore been subject to geostatistical analysis and estimation. This yields valid information on the spatial patterns and temporal trends of air quality. The approach illustrated is applicable to similar cases, as, for example, the harmonization of international monitoring networks.

  4. BASINS Metadata

    Science.gov (United States)

    Metadata or data about data describes the content, quality, condition, and other characteristics of data. Geospatial metadata are critical to data discovery and serves as the fuel for the Geospatial One-Stop data portal.

  5. Water quality, meteorological, and nutrient data collected by the the National Estuarine Research Reserve System's System-wide Monitoring Program (NERRS SWMP), 1994 - 2005 (NODC Accession 0019215)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The National Estuarine Research Reserve System's System-wide Monitoring Program (NERRS SWMP) collected water quality, meteorological, and nutrient data in 25...

  6. Creating preservation metadata from XML-metadata profiles

    Science.gov (United States)

    Ulbricht, Damian; Bertelmann, Roland; Gebauer, Petra; Hasler, Tim; Klump, Jens; Kirchner, Ingo; Peters-Kottig, Wolfgang; Mettig, Nora; Rusch, Beate

    2014-05-01

    Registration of dataset DOIs at DataCite makes research data citable and comes with the obligation to keep data accessible in the future. In addition, many universities and research institutions measure data that is unique and not repeatable like the data produced by an observational network and they want to keep these data for future generations. In consequence, such data should be ingested in preservation systems, that automatically care for file format changes. Open source preservation software that is developed along the definitions of the ISO OAIS reference model is available but during ingest of data and metadata there are still problems to be solved. File format validation is difficult, because format validators are not only remarkably slow - due to variety in file formats different validators return conflicting identification profiles for identical data. These conflicts are hard to resolve. Preservation systems have a deficit in the support of custom metadata. Furthermore, data producers are sometimes not aware that quality metadata is a key issue for the re-use of data. In the project EWIG an university institute and a research institute work together with Zuse-Institute Berlin, that is acting as an infrastructure facility, to generate exemplary workflows for research data into OAIS compliant archives with emphasis on the geosciences. The Institute for Meteorology provides timeseries data from an urban monitoring network whereas GFZ Potsdam delivers file based data from research projects. To identify problems in existing preservation workflows the technical work is complemented by interviews with data practitioners. Policies for handling data and metadata are developed. Furthermore, university teaching material is created to raise the future scientists awareness of research data management. As a testbed for ingest workflows the digital preservation system Archivematica [1] is used. During the ingest process metadata is generated that is compliant to the

  7. Big Metadata, Smart Metadata, and Metadata Capital: Toward Greater Synergy Between Data Science and Metadata

    Directory of Open Access Journals (Sweden)

    Jane Greenberg

    2017-08-01

    Full Text Available Purpose: The purpose of the paper is to provide a framework for addressing the disconnect between metadata and data science. Data science cannot progress without metadata research. This paper takes steps toward advancing the synergy between metadata and data science, and identifies pathways for developing a more cohesive metadata research agenda in data science. Design/methodology/approach: This paper identifies factors that challenge metadata research in the digital ecosystem, defines metadata and data science, and presents the concepts big metadata, smart metadata, and metadata capital as part of a metadata lingua franca connecting to data science. Findings: The “utilitarian nature” and “historical and traditional views” of metadata are identified as two intersecting factors that have inhibited metadata research. Big metadata, smart metadata, and metadata capital are presented as part of a metadata lingua franca to help frame research in the data science research space. Research limitations: There are additional, intersecting factors to consider that likely inhibit metadata research, and other significant metadata concepts to explore. Practical implications: The immediate contribution of this work is that it may elicit response, critique, revision, or, more significantly, motivate research. The work presented can encourage more researchers to consider the significance of metadata as a research worthy topic within data science and the larger digital ecosystem. Originality/value: Although metadata research has not kept pace with other data science topics, there is little attention directed to this problem. This is surprising, given that metadata is essential for data science endeavors. This examination synthesizes original and prior scholarship to provide new grounding for metadata research in data science.

  8. Water quality, meteorological, and nutrient data collected by the the National Estuarine Research Reserve System's System-wide Monitoring Program (NERRS SWMP) from January 1, 1995 to August 1, 2011 (NODC Accession 0052765)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The National Estuarine Research Reserve System's System-wide Monitoring Program (NERRS SWMP) collected water quality, meteorological, and nutrient data in 26...

  9. Integrated Coral Observing Network (ICON) - Media Luna (LPPR1 - La Parguera Natural Reserve, Puerto Rico) 2011 Meteorological and Oceanographic Observations (NODC Accession 0098078)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  10. Integrated Coral Observing Network (ICON) - Media Luna (LPPR1 - La Parguera Natural Reserve, Puerto Rico) 2006 Meteorological and Oceanographic Observations (NODC Accession 0049876)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  11. Integrated Coral Observing Network (ICON) - Media Luna (LPPR1 - La Parguera Natural Reserve, Puerto Rico) 2008 Meteorological and Oceanographic Observations (NODC Accession 0039700)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  12. Integrated Coral Observing Network (ICON) - Media Luna (LPPR1 - La Parguera Natural Reserve, Puerto Rico) 2007 Meteorological and Oceanographic Observations (NODC Accession 0049877)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  13. USGIN ISO metadata profile

    Science.gov (United States)

    Richard, S. M.

    2011-12-01

    The USGIN project has drafted and is using a specification for use of ISO 19115/19/39 metadata, recommendations for simple metadata content, and a proposal for a URI scheme to identify resources using resolvable http URI's(see http://lab.usgin.org/usgin-profiles). The principal target use case is a catalog in which resources can be registered and described by data providers for discovery by users. We are currently using the ESRI Geoportal (Open Source), with configuration files for the USGIN profile. The metadata offered by the catalog must provide sufficient content to guide search engines to locate requested resources, to describe the resource content, provenance, and quality so users can determine if the resource will serve for intended usage, and finally to enable human users and sofware clients to obtain or access the resource. In order to achieve an operational federated catalog system, provisions in the ISO specification must be restricted and usage clarified to reduce the heterogeneity of 'standard' metadata and service implementations such that a single client can search against different catalogs, and the metadata returned by catalogs can be parsed reliably to locate required information. Usage of the complex ISO 19139 XML schema allows for a great deal of structured metadata content, but the heterogenity in approaches to content encoding has hampered development of sophisticated client software that can take advantage of the rich metadata; the lack of such clients in turn reduces motivation for metadata producers to produce content-rich metadata. If the only significant use of the detailed, structured metadata is to format into text for people to read, then the detailed information could be put in free text elements and be just as useful. In order for complex metadata encoding and content to be useful, there must be clear and unambiguous conventions on the encoding that are utilized by the community that wishes to take advantage of advanced metadata

  14. Metadata management staging system

    Energy Technology Data Exchange (ETDEWEB)

    2013-08-01

    Django application providing a user-interface for building a file and metadata management system. An evolution of our Node.js and CouchDb metadata management system. This one focuses on server functionality and uses a well-documented, rational and REST-ful API for data access.

  15. Visualization of JPEG Metadata

    Science.gov (United States)

    Malik Mohamad, Kamaruddin; Deris, Mustafa Mat

    There are a lot of information embedded in JPEG image than just graphics. Visualization of its metadata would benefit digital forensic investigator to view embedded data including corrupted image where no graphics can be displayed in order to assist in evidence collection for cases such as child pornography or steganography. There are already available tools such as metadata readers, editors and extraction tools but mostly focusing on visualizing attribute information of JPEG Exif. However, none have been done to visualize metadata by consolidating markers summary, header structure, Huffman table and quantization table in a single program. In this paper, metadata visualization is done by developing a program that able to summarize all existing markers, header structure, Huffman table and quantization table in JPEG. The result shows that visualization of metadata helps viewing the hidden information within JPEG more easily.

  16. Harvesting NASA's Common Metadata Repository

    Science.gov (United States)

    Shum, D.; Mitchell, A. E.; Durbin, C.; Norton, J.

    2017-12-01

    As part of NASA's Earth Observing System Data and Information System (EOSDIS), the Common Metadata Repository (CMR) stores metadata for over 30,000 datasets from both NASA and international providers along with over 300M granules. This metadata enables sub-second discovery and facilitates data access. While the CMR offers a robust temporal, spatial and keyword search functionality to the general public and international community, it is sometimes more desirable for international partners to harvest the CMR metadata and merge the CMR metadata into a partner's existing metadata repository. This poster will focus on best practices to follow when harvesting CMR metadata to ensure that any changes made to the CMR can also be updated in a partner's own repository. Additionally, since each partner has distinct metadata formats they are able to consume, the best practices will also include guidance on retrieving the metadata in the desired metadata format using CMR's Unified Metadata Model translation software.

  17. NAIP National Metadata

    Data.gov (United States)

    Farm Service Agency, Department of Agriculture — The NAIP National Metadata Map contains USGS Quarter Quad and NAIP Seamline boundaries for every year NAIP imagery has been collected. Clicking on the map also makes...

  18. ATLAS Metadata Task Force

    Energy Technology Data Exchange (ETDEWEB)

    ATLAS Collaboration; Costanzo, D.; Cranshaw, J.; Gadomski, S.; Jezequel, S.; Klimentov, A.; Lehmann Miotto, G.; Malon, D.; Mornacchi, G.; Nemethy, P.; Pauly, T.; von der Schmitt, H.; Barberis, D.; Gianotti, F.; Hinchliffe, I.; Mapelli, L.; Quarrie, D.; Stapnes, S.

    2007-04-04

    This document provides an overview of the metadata, which are needed to characterizeATLAS event data at different levels (a complete run, data streams within a run, luminosity blocks within a run, individual events).

  19. Data, Metadata - Who Cares?

    Science.gov (United States)

    Baumann, Peter

    2013-04-01

    There is a traditional saying that metadata are understandable, semantic-rich, and searchable. Data, on the other hand, are big, with no accessible semantics, and just downloadable. Not only has this led to an imbalance of search support form a user perspective, but also underneath to a deep technology divide often using relational databases for metadata and bespoke archive solutions for data. Our vision is that this barrier will be overcome, and data and metadata become searchable likewise, leveraging the potential of semantic technologies in combination with scalability technologies. Ultimately, in this vision ad-hoc processing and filtering will not distinguish any longer, forming a uniformly accessible data universe. In the European EarthServer initiative, we work towards this vision by federating database-style raster query languages with metadata search and geo broker technology. We present our approach taken, how it can leverage OGC standards, the benefits envisaged, and first results.

  20. The RBV metadata catalog

    Science.gov (United States)

    Andre, Francois; Fleury, Laurence; Gaillardet, Jerome; Nord, Guillaume

    2015-04-01

    RBV (Réseau des Bassins Versants) is a French initiative to consolidate the national efforts made by more than 15 elementary observatories funded by various research institutions (CNRS, INRA, IRD, IRSTEA, Universities) that study river and drainage basins. The RBV Metadata Catalogue aims at giving an unified vision of the work produced by every observatory to both the members of the RBV network and any external person interested by this domain of research. Another goal is to share this information with other existing metadata portals. Metadata management is heterogeneous among observatories ranging from absence to mature harvestable catalogues. Here, we would like to explain the strategy used to design a state of the art catalogue facing this situation. Main features are as follows : - Multiple input methods: Metadata records in the catalog can either be entered with the graphical user interface, harvested from an existing catalogue or imported from information system through simplified web services. - Hierarchical levels: Metadata records may describe either an observatory, one of its experimental site or a single dataset produced by one instrument. - Multilingualism: Metadata can be easily entered in several configurable languages. - Compliance to standards : the backoffice part of the catalogue is based on a CSW metadata server (Geosource) which ensures ISO19115 compatibility and the ability of being harvested (globally or partially). On going tasks focus on the use of SKOS thesaurus and SensorML description of the sensors. - Ergonomy : The user interface is built with the GWT Framework to offer a rich client application with a fully ajaxified navigation. - Source code sharing : The work has led to the development of reusable components which can be used to quickly create new metadata forms in other GWT applications You can visit the catalogue (http://portailrbv.sedoo.fr/) or contact us by email rbv@sedoo.fr.

  1. Motivational Meteorology.

    Science.gov (United States)

    Benjamin, Lee

    1993-01-01

    Describes an introductory meteorology course for nonacademic high school students. The course is made hands-on by the use of an educational software program offered by Accu-Weather. The program contains a meteorology database and instructional modules. (PR)

  2. A programmatic view of metadata, metadata services, and metadata flow in ATLAS

    Science.gov (United States)

    Malon, D.; Albrand, S.; Gallas, E.; Stewart, G.

    2012-12-01

    The volume and diversity of metadata in an experiment of the size and scope of ATLAS are considerable. Even the definition of metadata may seem context-dependent: data that are primary for one purpose may be metadata for another. ATLAS metadata services must integrate and federate information from inhomogeneous sources and repositories, map metadata about logical or physics constructs to deployment and production constructs, provide a means to associate metadata at one level of granularity with processing or decision-making at another, offer a coherent and integrated view to physicists, and support both human use and programmatic access. In this paper we consider ATLAS metadata, metadata services, and metadata flow principally from the illustrative perspective of how disparate metadata are made available to executing jobs and, conversely, how metadata generated by such jobs are returned. We describe how metadata are read, how metadata are cached, and how metadata generated by jobs and the tasks of which they are a part are communicated, associated with data products, and preserved. We also discuss the principles that guide decision-making about metadata storage, replication, and access.

  3. Metadata Authoring with Versatility and Extensibility

    Science.gov (United States)

    Pollack, Janine; Olsen, Lola

    2004-01-01

    NASA's Global Change Master Directory (GCMD) assists the scientific community in the discovery of and linkage to Earth science data sets and related services. The GCMD holds over 13,800 data set descriptions in Directory Interchange Format (DIF) and 700 data service descriptions in Service Entry Resource Format (SERF), encompassing the disciplines of geology, hydrology, oceanography, meteorology, and ecology. Data descriptions also contain geographic coverage information and direct links to the data, thus allowing researchers to discover data pertaining to a geographic location of interest, then quickly acquire those data. The GCMD strives to be the preferred data locator for world-wide directory-level metadata. In this vein, scientists and data providers must have access to intuitive and efficient metadata authoring tools. Existing GCMD tools are attracting widespread usage; however, a need for tools that are portable, customizable and versatile still exists. With tool usage directly influencing metadata population, it has become apparent that new tools are needed to fill these voids. As a result, the GCMD has released a new authoring tool allowing for both web-based and stand-alone authoring of descriptions. Furthermore, this tool incorporates the ability to plug-and-play the metadata format of choice, offering users options of DIF, SERF, FGDC, ISO or any other defined standard. Allowing data holders to work with their preferred format, as well as an option of a stand-alone application or web-based environment, docBUlLDER will assist the scientific community in efficiently creating quality data and services metadata.

  4. A Programmatic View of Metadata, Metadata Services, and Metadata Flow in ATLAS

    CERN Multimedia

    CERN. Geneva

    2012-01-01

    The volume and diversity of metadata in an experiment of the size and scope of ATLAS is considerable. Even the definition of metadata may seem context-dependent: data that are primary for one purpose may be metadata for another. Trigger information and data from the Large Hadron Collider itself provide cases in point, but examples abound. Metadata about logical or physics constructs, such as data-taking periods and runs and luminosity blocks and events and algorithms, often need to be mapped to deployment and production constructs, such as datasets and jobs and files and software versions, and vice versa. Metadata at one level of granularity may have implications at another. ATLAS metadata services must integrate and federate information from inhomogeneous sources and repositories, map metadata about logical or physics constructs to deployment and production constructs, provide a means to associate metadata at one level of granularity with processing or decision-making at another, offer a coherent and ...

  5. A Programmatic View of Metadata, Metadata Services, and Metadata Flow in ATLAS

    CERN Document Server

    Malon, D; The ATLAS collaboration; Gallas, E; Stewart, G

    2012-01-01

    The volume and diversity of metadata in an experiment of the size and scope of ATLAS are considerable. Even the definition of metadata may seem context-dependent: data that are primary for one purpose may be metadata for another. Trigger information and data from the Large Hadron Collider itself provide cases in point, but examples abound. Metadata about logical or physics constructs, such as data-taking periods and runs and luminosity blocks and events and algorithms, often need to be mapped to deployment and production constructs, such as datasets and jobs and files and software versions, and vice versa. Metadata at one level of granularity may have implications at another. ATLAS metadata services must integrate and federate information from inhomogeneous sources and repositories, map metadata about logical or physics constructs to deployment and production constructs, provide a means to associate metadata at one level of granularity with processing or decision-making at another, offer a coherent and integr...

  6. A programmatic view of metadata, metadata services, and metadata flow in ATLAS

    CERN Document Server

    Malon, D; The ATLAS collaboration; Albrand, S; Gallas, E; Stewart, G

    2012-01-01

    The volume and diversity of metadata in an experiment of the size and scope of ATLAS are considerable. Even the definition of metadata may seem context-dependent: data that are primary for one purpose may be metadata for another. Trigger information and data from the Large Hadron Collider itself provide cases in point, but examples abound. Metadata about logical or physics constructs, such as data-taking periods and runs and luminosity blocks and events and algorithms, often need to be mapped to deployment and production constructs, such as datasets and jobs and files and software versions, and vice versa. Metadata at one level of granularity may have implications at another. ATLAS metadata services must integrate and federate information from inhomogeneous sources and repositories, map metadata about logical or physics constructs to deployment and production constructs, provide a means to associate metadata at one level of granularity with processing or decision-making at another, offer a coherent and integr...

  7. Meteorological Summaries

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Multi-year summaries of one or more meteorological elements at a station or in a state. Primarily includes Form 1078, a United States Weather Bureau form designed...

  8. Meteorology (OTTER)

    Data.gov (United States)

    National Aeronautics and Space Administration — Meteorology data collected on an hourly basis from stations located near the OTTER sites in 1990 and summarized to monthly data--see also: Canopy Chemistry (OTTER)

  9. Meteorology (OTTER)

    Data.gov (United States)

    National Aeronautics and Space Administration — ABSTRACT: Meteorology data collected on an hourly basis from stations located near the OTTER sites in 1990 and summarized to monthly data--see also: Canopy Chemistry...

  10. Meteorology Online.

    Science.gov (United States)

    Kahl, Jonathan D. W.

    2001-01-01

    Describes an activity to learn about meteorology and weather using the internet. Discusses the National Weather Service (NWS) internet site www.weather.gov. Students examine maximum and minimum daily temperatures, wind speed, and direction. (SAH)

  11. North Inlet • Winyah Bay (NIW) National Estuarine Research Reserve Meteorological Data, North Inlet Estuary, Georgetown, South Carolina: 2000 • 2004.

    Data.gov (United States)

    Baruch Institute for Marine and Coastal Sciences, Univ of South Carolina — National Estuarine Research Reserve System The National Estuarine Research Reserve System was established by the Coastal Zone Management Act of 1972 (as amended) and...

  12. Cytometry metadata in XML

    Science.gov (United States)

    Leif, Robert C.; Leif, Stephanie H.

    2016-04-01

    Introduction: The International Society for Advancement of Cytometry (ISAC) has created a standard for the Minimum Information about a Flow Cytometry Experiment (MIFlowCyt 1.0). CytometryML will serve as a common metadata standard for flow and image cytometry (digital microscopy). Methods: The MIFlowCyt data-types were created, as is the rest of CytometryML, in the XML Schema Definition Language (XSD1.1). The datatypes are primarily based on the Flow Cytometry and the Digital Imaging and Communication (DICOM) standards. A small section of the code was formatted with standard HTML formatting elements (p, h1, h2, etc.). Results:1) The part of MIFlowCyt that describes the Experimental Overview including the specimen and substantial parts of several other major elements has been implemented as CytometryML XML schemas (www.cytometryml.org). 2) The feasibility of using MIFlowCyt to provide the combination of an overview, table of contents, and/or an index of a scientific paper or a report has been demonstrated. Previously, a sample electronic publication, EPUB, was created that could contain both MIFlowCyt metadata as well as the binary data. Conclusions: The use of CytometryML technology together with XHTML5 and CSS permits the metadata to be directly formatted and together with the binary data to be stored in an EPUB container. This will facilitate: formatting, data- mining, presentation, data verification, and inclusion in structured research, clinical, and regulatory documents, as well as demonstrate a publication's adherence to the MIFlowCyt standard, promote interoperability and should also result in the textual and numeric data being published using web technology without any change in composition.

  13. Flexible Community-driven Metadata with the Component Metadata Infrastructure

    NARCIS (Netherlands)

    Windhouwer, M.; Goosen, Twan; Mosutka, Jozef; Van Uytvanck, D.; Broeder, D.

    Many researchers, from the humanities and other domains, have a strong need to study resources in close detail. Nowadays more and more of these resources are available online. To make these resources discoverable, they are described with metadata. These metadata records are collected and made

  14. Metadata Realities for Cyberinfrastructure: Data Authors as Metadata Creators

    Science.gov (United States)

    Mayernik, Matthew Stephen

    2011-01-01

    As digital data creation technologies become more prevalent, data and metadata management are necessary to make data available, usable, sharable, and storable. Researchers in many scientific settings, however, have little experience or expertise in data and metadata management. In this dissertation, I explore the everyday data and metadata…

  15. Federating Metadata Catalogs

    Science.gov (United States)

    Baru, C.; Lin, K.

    2009-04-01

    The Geosciences Network project (www.geongrid.org) has been developing cyberinfrastructure for data sharing in the Earth Science community based on a service-oriented architecture. The project defines a standard "software stack", which includes a standardized set of software modules and corresponding service interfaces. The system employs Grid certificates for distributed user authentication. The GEON Portal provides online access to these services via a set of portlets. This service-oriented approach has enabled the GEON network to easily expand to new sites and deploy the same infrastructure in new projects. To facilitate interoperation with other distributed geoinformatics environments, service standards are being defined and implemented for catalog services and federated search across distributed catalogs. The need arises because there may be multiple metadata catalogs in a distributed system, for example, for each institution, agency, geographic region, and/or country. Ideally, a geoinformatics user should be able to search across all such catalogs by making a single search request. In this paper, we describe our implementation for such a search capability across federated metadata catalogs in the GEON service-oriented architecture. The GEON catalog can be searched using spatial, temporal, and other metadata-based search criteria. The search can be invoked as a Web service and, thus, can be imbedded in any software application. The need for federated catalogs in GEON arises because, (i) GEON collaborators at the University of Hyderabad, India have deployed their own catalog, as part of the iGEON-India effort, to register information about local resources for broader access across the network, (ii) GEON collaborators in the GEO Grid (Global Earth Observations Grid) project at AIST, Japan have implemented a catalog for their ASTER data products, and (iii) we have recently deployed a search service to access all data products from the EarthScope project in the US

  16. North Inlet • Winyah Bay (NIW) National Estuarine Research Reserve Meteorological Data, North Inlet Estuary, Georgetown, South Carolina: 1997 • 1999.

    Data.gov (United States)

    Baruch Institute for Marine and Coastal Sciences, Univ of South Carolina — The North Inlet Estuary and the adjacent lower northeastern section of Winyah Bay Estuary were designated as part of the National Estuarine Research Reserve System...

  17. Mercury Toolset for Spatiotemporal Metadata

    Science.gov (United States)

    Devarakonda, Ranjeet; Palanisamy, Giri; Green, James; Wilson, Bruce; Rhyne, B. Timothy; Lindsley, Chris

    2010-06-01

    Mercury (http://mercury.ornl.gov) is a set of tools for federated harvesting, searching, and retrieving metadata, particularly spatiotemporal metadata. Version 3.0 of the Mercury toolset provides orders of magnitude improvements in search speed, support for additional metadata formats, integration with Google Maps for spatial queries, facetted type search, support for RSS (Really Simple Syndication) delivery of search results, and enhanced customization to meet the needs of the multiple projects that use Mercury. It provides a single portal to very quickly search for data and information contained in disparate data management systems, each of which may use different metadata formats. Mercury harvests metadata and key data from contributing project servers distributed around the world and builds a centralized index. The search interfaces then allow the users to perform a variety of fielded, spatial, and temporal searches across these metadata sources. This centralized repository of metadata with distributed data sources provides extremely fast search results to the user, while allowing data providers to advertise the availability of their data and maintain complete control and ownership of that data. Mercury periodically (typically daily)harvests metadata sources through a collection of interfaces and re-indexes these metadata to provide extremely rapid search capabilities, even over collections with tens of millions of metadata records. A number of both graphical and application interfaces have been constructed within Mercury, to enable both human users and other computer programs to perform queries. Mercury was also designed to support multiple different projects, so that the particular fields that can be queried and used with search filters are easy to configure for each different project.

  18. Mercury Toolset for Spatiotemporal Metadata

    Science.gov (United States)

    Wilson, Bruce E.; Palanisamy, Giri; Devarakonda, Ranjeet; Rhyne, B. Timothy; Lindsley, Chris; Green, James

    2010-01-01

    Mercury (http://mercury.ornl.gov) is a set of tools for federated harvesting, searching, and retrieving metadata, particularly spatiotemporal metadata. Version 3.0 of the Mercury toolset provides orders of magnitude improvements in search speed, support for additional metadata formats, integration with Google Maps for spatial queries, facetted type search, support for RSS (Really Simple Syndication) delivery of search results, and enhanced customization to meet the needs of the multiple projects that use Mercury. It provides a single portal to very quickly search for data and information contained in disparate data management systems, each of which may use different metadata formats. Mercury harvests metadata and key data from contributing project servers distributed around the world and builds a centralized index. The search interfaces then allow the users to perform a variety of fielded, spatial, and temporal searches across these metadata sources. This centralized repository of metadata with distributed data sources provides extremely fast search results to the user, while allowing data providers to advertise the availability of their data and maintain complete control and ownership of that data. Mercury periodically (typically daily) harvests metadata sources through a collection of interfaces and re-indexes these metadata to provide extremely rapid search capabilities, even over collections with tens of millions of metadata records. A number of both graphical and application interfaces have been constructed within Mercury, to enable both human users and other computer programs to perform queries. Mercury was also designed to support multiple different projects, so that the particular fields that can be queried and used with search filters are easy to configure for each different project.

  19. ATLAS Metadata Interface (AMI), a generic metadata framework

    CERN Document Server

    AUTHOR|(SzGeCERN)573735; The ATLAS collaboration; Odier, Jerome; Lambert, Fabian

    2017-01-01

    The ATLAS Metadata Interface (AMI) is a mature application of more than 15 years of existence. Mainly used by the ATLAS experiment at CERN, it consists of a very generic tool ecosystem for metadata aggregation and cataloguing. We briefly describe the architecture, the main services and the benefits of using AMI in big collaborations, especially for high energy physics. We focus on the recent improvements, for instance: the lightweight clients (Python, JavaScript, C++), the new smart task server system and the Web 2.0 AMI framework for simplifying the development of metadata-oriented web interfaces.

  20. ATLAS Metadata Interface (AMI), a generic metadata framework

    Science.gov (United States)

    Fulachier, J.; Odier, J.; Lambert, F.; ATLAS Collaboration

    2017-10-01

    The ATLAS Metadata Interface (AMI) is a mature application of more than 15 years of existence. Mainly used by the ATLAS experiment at CERN, it consists of a very generic tool ecosystem for metadata aggregation and cataloguing. We briefly describe the architecture, the main services and the benefits of using AMI in big collaborations, especially for high energy physics. We focus on the recent improvements, for instance: the lightweight clients (Python, JavaScript, C++), the new smart task server system and the Web 2.0 AMI framework for simplifying the development of metadata-oriented web interfaces.

  1. ATLAS Metadata Interface (AMI), a generic metadata framework

    CERN Document Server

    Fulachier, Jerome; The ATLAS collaboration

    2016-01-01

    The ATLAS Metadata Interface (AMI) is a mature application of more than 15 years of existence. Mainly used by the ATLAS experiment at CERN, it consists of a very generic tool ecosystem for metadata aggregation and cataloguing. We briefly describe the architecture, the main services and the benefits of using AMI in big collaborations, especially for high energy physics. We focus on the recent improvements, for instance: the lightweight clients (Python, Javascript, C++), the new smart task server system and the Web 2.0 AMI framework for simplifying the development of metadata-oriented web interfaces.

  2. Developing the CUAHSI Metadata Profile

    Science.gov (United States)

    Piasecki, M.; Bermudez, L.; Islam, S.; Beran, B.

    2004-12-01

    The Hydrologic Information System (HIS), of the Consortium of Universities for the Advancement of Hydrologic Science Inc., (CUAHSI), has as one of its goals to improve access to large volume, high quality, and heterogeneous hydrologic data sets. This will be attained in part by adopting a community metadata profile to achieve consistent descriptions that will facilitate data discovery. However, common standards are quite general in nature and typically lack domain specific vocabularies, complicating the adoption of standards for specific communities. We will show and demonstrate the problems encountered in the process of adopting ISO standards to create a CUAHSI metadata profile. The final schema is expressed in a simple metadata format, Metadata Template File (MTF), to leverage metadata annotations/viewer tools already developed by the San Diego Super Computer Center. The steps performed to create an MTF starting from ISO 19115:2003 are the following: 1) creation of ontologies using the Web Ontology Language (OWL) for ISO:19115 2003 and related ISO/TC 211 documents; 2) conceptualization in OWL of related hydrologic vocabularies such as NASA's Global Change Master Directory and units from the Hydrologic Handbook; 3) definition of CUAHSI profile by importing and extending the previous ontologies; 4) explicit creation of CUAHSI core set 5) export of the core set to MTF); 6) definition of metadata blocks for arbitrary digital objects (e.g. time series vs static-spatial data) using ISO's methodology for feature cataloguing; and 7) export of metadata blocks to MTF.

  3. In Interactive, Web-Based Approach to Metadata Authoring

    Science.gov (United States)

    Pollack, Janine; Wharton, Stephen W. (Technical Monitor)

    2001-01-01

    NASA's Global Change Master Directory (GCMD) serves a growing number of users by assisting the scientific community in the discovery of and linkage to Earth science data sets and related services. The GCMD holds over 8000 data set descriptions in Directory Interchange Format (DIF) and 200 data service descriptions in Service Entry Resource Format (SERF), encompassing the disciplines of geology, hydrology, oceanography, meteorology, and ecology. Data descriptions also contain geographic coverage information, thus allowing researchers to discover data pertaining to a particular geographic location, as well as subject of interest. The GCMD strives to be the preeminent data locator for world-wide directory level metadata. In this vein, scientists and data providers must have access to intuitive and efficient metadata authoring tools. Existing GCMD tools are not currently attracting. widespread usage. With usage being the prime indicator of utility, it has become apparent that current tools must be improved. As a result, the GCMD has released a new suite of web-based authoring tools that enable a user to create new data and service entries, as well as modify existing data entries. With these tools, a more interactive approach to metadata authoring is taken, as they feature a visual "checklist" of data/service fields that automatically update when a field is completed. In this way, the user can quickly gauge which of the required and optional fields have not been populated. With the release of these tools, the Earth science community will be further assisted in efficiently creating quality data and services metadata. Keywords: metadata, Earth science, metadata authoring tools

  4. Integrated Coral Observing Network (ICON) - Media Luna Reef (LPPR1 - La Parquera Natural Reserve, Puerto Rico) Meteorological and Oceanographic Observations from 2013-01-01 to 2013-03-20 (NODC Accession 0124000)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  5. Integrated Coral Observing Network (ICON) - Media Luna Reef (LPPR1 - La Parquera Natural Reserve, Puerto Rico) Meteorological and Oceanographic Observations from 01 Jan to 31 Dec 2012 (NODC Accession 0117729)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  6. Metadata Dictionary Database: A Proposed Tool for Academic Library Metadata Management

    Science.gov (United States)

    Southwick, Silvia B.; Lampert, Cory

    2011-01-01

    This article proposes a metadata dictionary (MDD) be used as a tool for metadata management. The MDD is a repository of critical data necessary for managing metadata to create "shareable" digital collections. An operational definition of metadata management is provided. The authors explore activities involved in metadata management in…

  7. The metadata manual a practical workbook

    CERN Document Server

    Lubas, Rebecca; Schneider, Ingrid

    2013-01-01

    Cultural heritage professionals have high levels of training in metadata. However, the institutions in which they practice often depend on support staff, volunteers, and students in order to function. With limited time and funding for training in metadata creation for digital collections, there are often many questions about metadata without a reliable, direct source for answers. The Metadata Manual provides such a resource, answering basic metadata questions that may appear, and exploring metadata from a beginner's perspective. This title covers metadata basics, XML basics, Dublin Core, VRA C

  8. FSA 2002 Digital Orthophoto Metadata

    Data.gov (United States)

    Minnesota Department of Natural Resources — Metadata for the 2002 FSA Color Orthophotos Layer. Each orthophoto is represented by a Quarter 24k Quad tile polygon. The polygon attributes contain the quarter-quad...

  9. phosphorus retention data and metadata

    Data.gov (United States)

    U.S. Environmental Protection Agency — phosphorus retention in wetlands data and metadata. This dataset is associated with the following publication: Lane , C., and B. Autrey. Phosphorus retention of...

  10. How libraries use publisher metadata

    Directory of Open Access Journals (Sweden)

    Steve Shadle

    2013-11-01

    Full Text Available With the proliferation of electronic publishing, libraries are increasingly relying on publisher-supplied metadata to meet user needs for discovery in library systems. However, many publisher/content provider staff creating metadata are unaware of the end-user environment and how libraries use their metadata. This article provides an overview of the three primary discovery systems that are used by academic libraries, with examples illustrating how publisher-supplied metadata directly feeds into these systems and is used to support end-user discovery and access. Commonly seen metadata problems are discussed, with recommendations suggested. Based on a series of presentations given in Autumn 2012 to the staff of a large publisher, this article uses the University of Washington Libraries systems and services as illustrative examples. Judging by the feedback received from these presentations, publishers (specifically staff not familiar with the big picture of metadata standards work would benefit from a better understanding of the systems and services libraries provide using the data that is created and managed by publishers.

  11. An integrated overview of metadata in ATLAS

    International Nuclear Information System (INIS)

    Gallas, E J; Malon, D; Hawkings, R J; Albrand, S; Torrence, E

    2010-01-01

    Metadata (data about data) arise in many contexts, from many diverse sources, and at many levels in ATLAS. Familiar examples include run-level, luminosity-block-level, and event-level metadata, and, related to processing and organization, dataset-level and file-level metadata, but these categories are neither exhaustive nor orthogonal. Some metadata are known a priori, in advance of data taking or simulation; other metadata are known only after processing, and occasionally, quite late (e.g., detector status or quality updates that may appear after initial reconstruction is complete). Metadata that may seem relevant only internally to the distributed computing infrastructure under ordinary conditions may become relevant to physics analysis under error conditions ('What can I discover about data I failed to process?'). This talk provides an overview of metadata and metadata handling in ATLAS, and describes ongoing work to deliver integrated metadata services in support of physics analysis.

  12. On the Origin of Metadata

    Directory of Open Access Journals (Sweden)

    Sam Coppens

    2012-12-01

    Full Text Available Metadata has been around and has evolved for centuries, albeit not recognized as such. Medieval manuscripts typically had illuminations at the start of each chapter, being both a kind of signature for the author writing the script and a pictorial chapter anchor for the illiterates at the time. Nowadays, there is so much fragmented information on the Internet that users sometimes fail to distinguish the real facts from some bended truth, let alone being able to interconnect different facts. Here, the metadata can both act as noise-reductors for detailed recommendations to the end-users, as it can be the catalyst to interconnect related information. Over time, metadata thus not only has had different modes of information, but furthermore, metadata’s relation of information to meaning, i.e., “semantics”, evolved. Darwin’s evolutionary propositions, from “species have an unlimited reproductive capacity”, over “natural selection”, to “the cooperation of mutations leads to adaptation to the environment” show remarkable parallels to both metadata’s different modes of information and to its relation of information to meaning over time. In this paper, we will show that the evolution of the use of (metadata can be mapped to Darwin’s nine evolutionary propositions. As mankind and its behavior are products of an evolutionary process, the evolutionary process of metadata with its different modes of information is on the verge of a new-semantic-era.

  13. THE NEW ONLINE METADATA EDITOR FOR GENERATING STRUCTURED METADATA

    Energy Technology Data Exchange (ETDEWEB)

    Devarakonda, Ranjeet [ORNL; Shrestha, Biva [ORNL; Palanisamy, Giri [ORNL; Hook, Leslie A [ORNL; Killeffer, Terri S [ORNL; Boden, Thomas A [ORNL; Cook, Robert B [ORNL; Zolly, Lisa [United States Geological Service (USGS); Hutchison, Viv [United States Geological Service (USGS); Frame, Mike [United States Geological Service (USGS); Cialella, Alice [Brookhaven National Laboratory (BNL); Lazer, Kathy [Brookhaven National Laboratory (BNL)

    2014-01-01

    Nobody is better suited to describe data than the scientist who created it. This description about a data is called Metadata. In general terms, Metadata represents the who, what, when, where, why and how of the dataset [1]. eXtensible Markup Language (XML) is the preferred output format for metadata, as it makes it portable and, more importantly, suitable for system discoverability. The newly developed ORNL Metadata Editor (OME) is a Web-based tool that allows users to create and maintain XML files containing key information, or metadata, about the research. Metadata include information about the specific projects, parameters, time periods, and locations associated with the data. Such information helps put the research findings in context. In addition, the metadata produced using OME will allow other researchers to find these data via Metadata clearinghouses like Mercury [2][4]. OME is part of ORNL s Mercury software fleet [2][3]. It was jointly developed to support projects funded by the United States Geological Survey (USGS), U.S. Department of Energy (DOE), National Aeronautics and Space Administration (NASA) and National Oceanic and Atmospheric Administration (NOAA). OME s architecture provides a customizable interface to support project-specific requirements. Using this new architecture, the ORNL team developed OME instances for USGS s Core Science Analytics, Synthesis, and Libraries (CSAS&L), DOE s Next Generation Ecosystem Experiments (NGEE) and Atmospheric Radiation Measurement (ARM) Program, and the international Surface Ocean Carbon Dioxide ATlas (SOCAT). Researchers simply use the ORNL Metadata Editor to enter relevant metadata into a Web-based form. From the information on the form, the Metadata Editor can create an XML file on the server that the editor is installed or to the user s personal computer. Researchers can also use the ORNL Metadata Editor to modify existing XML metadata files. As an example, an NGEE Arctic scientist use OME to register

  14. The Machinic Temporality of Metadata

    Directory of Open Access Journals (Sweden)

    Claudio Celis

    2015-03-01

    Full Text Available In 1990 Deleuze introduced the hypothesis that disciplinary societies are gradually being replaced by a new logic of power: control. Accordingly, Matteo Pasquinelli has recently argued that we are moving towards societies of metadata, which correspond to a new stage of what Deleuze called control societies. Societies of metadata are characterised for the central role that meta-information acquires both as a source of surplus value and as an apparatus of social control. The aim of this article is to develop Pasquinelli’s thesis by examining the temporal scope of these emerging societies of metadata. In particular, this article employs Guattari’s distinction between human and machinic times. Through these two concepts, this article attempts to show how societies of metadata combine the two poles of capitalist power formations as identified by Deleuze and Guattari, i.e. social subjection and machinic enslavement. It begins by presenting the notion of metadata in order to identify some of the defining traits of contemporary capitalism. It then examines Berardi’s account of the temporality of the attention economy from the perspective of the asymmetric relation between cyber-time and human time. The third section challenges Berardi’s definition of the temporality of the attention economy by using Guattari’s notions of human and machinic times. Parts four and five fall back upon Deleuze and Guattari’s notions of machinic surplus labour and machinic enslavement, respectively. The concluding section tries to show that machinic and human times constitute two poles of contemporary power formations that articulate the temporal dimension of societies of metadata.

  15. Enriching The Metadata On CDS

    CERN Document Server

    Chhibber, Nalin

    2014-01-01

    The project report revolves around the open source software package called Invenio. It provides the tools for management of digital assets in a repository and drives CERN Document Server. Primary objective is to enhance the existing metadata in CDS with data from other libraries. An implicit part of this task is to manage disambiguation (within incoming data), removal of multiple entries and handle replications between new and existing records. All such elements and their corresponding changes are integrated within Invenio to make the upgraded metadata available on the CDS. Latter part of the report discuss some changes related to the Invenio code-base itself.

  16. U.S. EPA Metadata Editor (EME)

    Data.gov (United States)

    U.S. Environmental Protection Agency — The EPA Metadata Editor (EME) allows users to create geospatial metadata that meets EPA's requirements. The tool has been developed as a desktop application that...

  17. Airline meteorological requirements

    Science.gov (United States)

    Chandler, C. L.; Pappas, J.

    1985-01-01

    A brief review of airline meteorological/flight planning is presented. The effects of variations in meteorological parameters upon flight and operational costs are reviewed. Flight path planning through the use of meteorological information is briefly discussed.

  18. The essential guide to metadata for books

    CERN Document Server

    Register, Renee

    2013-01-01

    In The Essential Guide to Metadata for Books, you will learn exactly what you need to know to effectively generate, handle and disseminate metadata for books and ebooks. This comprehensive but digestible document will explain the life-cycle of book metadata, industry standards, XML, ONIX and the essential elements of metadata. It will also show you how effective, well-organized metadata can improve your efforts to sell a book, especially when it comes to marketing, discoverability and converting at the point of sale. This information-packed document also includes a glossary of terms

  19. A Method for Automating Geospatial Dataset Metadata

    Directory of Open Access Journals (Sweden)

    Robert I. Dunfey

    2009-11-01

    Full Text Available Metadata have long been recognised as crucial to geospatial asset management and discovery, and yet undertaking their creation remains an unenviable task often to be avoided. This paper proposes a practical approach designed to address such concerns, decomposing various data creation, management, update and documentation process steps that are subsequently leveraged to contribute towards metadata record completion. Using a customised utility embedded within a common GIS application, metadata elements are computationally derived from an imposed feature metadata standard, dataset geometry, an integrated storage protocol and pre-prepared content, and instantiated within a common geospatial discovery convention. Yielding 27 out of a 32 total metadata elements (or 15 out of 17 mandatory elements the approach demonstrably lessens the burden of metadata authorship. It also encourages improved geospatial asset management whilst outlining core requisites for developing a more open metadata strategy not bound to any particular application domain.

  20. A Solution to Metadata: Using XML Transformations to Automate Metadata

    Science.gov (United States)

    2010-06-01

    database development that requires little or no programming knowledge and skill; however, a working knowledge of schemas and metadata standards is...against the FGDC CSDGM schema using NCDDC’s MERMAid tool [15]. All randomly sampled records passed validation. Record content was also visually inspected...Beverley, MA: Altova GmbH & Altova, Inc., 2003. [15] NOAA National Coastal Data Development Center, MERMAid (computer software), version 1.2, Stennis Space Center, MS.

  1. Log-Less Metadata Management on Metadata Server for Parallel File Systems

    Directory of Open Access Journals (Sweden)

    Jianwei Liao

    2014-01-01

    Full Text Available This paper presents a novel metadata management mechanism on the metadata server (MDS for parallel and distributed file systems. In this technique, the client file system backs up the sent metadata requests, which have been handled by the metadata server, so that the MDS does not need to log metadata changes to nonvolatile storage for achieving highly available metadata service, as well as better performance improvement in metadata processing. As the client file system backs up certain sent metadata requests in its memory, the overhead for handling these backup requests is much smaller than that brought by the metadata server, while it adopts logging or journaling to yield highly available metadata service. The experimental results show that this newly proposed mechanism can significantly improve the speed of metadata processing and render a better I/O data throughput, in contrast to conventional metadata management schemes, that is, logging or journaling on MDS. Besides, a complete metadata recovery can be achieved by replaying the backup logs cached by all involved clients, when the metadata server has crashed or gone into nonoperational state exceptionally.

  2. Provenance Description of Metadata Vocabularies for the Long-term Maintenance of Metadata

    Directory of Open Access Journals (Sweden)

    Chunqiu Li

    2017-03-01

    Full Text Available Purpose: The purpose of this paper is to discuss provenance description of metadata terms and metadata vocabularies as a set of metadata terms. Provenance is crucial information to keep track of changes of metadata terms and metadata vocabularies for their consistent maintenance. Design/methodology/approach: The W3C PROV standard for general provenance description and Resource Description Framework (RDF are adopted as the base models to formally define provenance description for metadata vocabularies. Findings: This paper defines a few primitive change types of metadata terms, and a provenance description model of the metadata terms based on the primitive change types. We also provide examples of provenance description in RDF graphs to show the proposed model. Research limitations: The model proposed in this paper is defined based on a few primitive relationships (e.g. addition, deletion, and replacement between pre-version and post-version of a metadata term. The model is simplified and the practical changes of metadata terms can be more complicated than the primitive relationships discussed in the model. Practical implications: Formal provenance description of metadata vocabularies can improve maintainability of metadata vocabularies over time. Conventional maintenance of metadata terms is the maintenance of documents of terms. The proposed model enables effective and automated tracking of change history of metadata vocabularies using simple formal description scheme defined based on widely-used standards. Originality/value: Changes in metadata vocabularies may cause inconsistencies in the long-term use of metadata. This paper proposes a simple and formal scheme of provenance description of metadata vocabularies. The proposed model works as the basis of automated maintenance of metadata terms and their vocabularies and is applicable to various types of changes.

  3. Evolution in Metadata Quality: Common Metadata Repository's Role in NASA Curation Efforts

    Science.gov (United States)

    Gilman, Jason; Shum, Dana; Baynes, Katie

    2016-01-01

    Metadata Quality is one of the chief drivers of discovery and use of NASA EOSDIS (Earth Observing System Data and Information System) data. Issues with metadata such as lack of completeness, inconsistency, and use of legacy terms directly hinder data use. As the central metadata repository for NASA Earth Science data, the Common Metadata Repository (CMR) has a responsibility to its users to ensure the quality of CMR search results. This poster covers how we use humanizers, a technique for dealing with the symptoms of metadata issues, as well as our plans for future metadata validation enhancements. The CMR currently indexes 35K collections and 300M granules.

  4. phosphorus retention data and metadata

    Science.gov (United States)

    phosphorus retention in wetlands data and metadataThis dataset is associated with the following publication:Lane , C., and B. Autrey. Phosphorus retention of forested and emergent marsh depressional wetlands in differing land uses in Florida, USA. Wetlands Ecology and Management. Springer Science and Business Media B.V;Formerly Kluwer Academic Publishers B.V., GERMANY, 24(1): 45-60, (2016).

  5. Finding Atmospheric Composition (AC) Metadata

    Science.gov (United States)

    Strub, Richard F..; Falke, Stefan; Fiakowski, Ed; Kempler, Steve; Lynnes, Chris; Goussev, Oleg

    2015-01-01

    The Atmospheric Composition Portal (ACP) is an aggregator and curator of information related to remotely sensed atmospheric composition data and analysis. It uses existing tools and technologies and, where needed, enhances those capabilities to provide interoperable access, tools, and contextual guidance for scientists and value-adding organizations using remotely sensed atmospheric composition data. The initial focus is on Essential Climate Variables identified by the Global Climate Observing System CH4, CO, CO2, NO2, O3, SO2 and aerosols. This poster addresses our efforts in building the ACP Data Table, an interface to help discover and understand remotely sensed data that are related to atmospheric composition science and applications. We harvested GCMD, CWIC, GEOSS metadata catalogs using machine to machine technologies - OpenSearch, Web Services. We also manually investigated the plethora of CEOS data providers portals and other catalogs where that data might be aggregated. This poster is our experience of the excellence, variety, and challenges we encountered.Conclusions:1.The significant benefits that the major catalogs provide are their machine to machine tools like OpenSearch and Web Services rather than any GUI usability improvements due to the large amount of data in their catalog.2.There is a trend at the large catalogs towards simulating small data provider portals through advanced services. 3.Populating metadata catalogs using ISO19115 is too complex for users to do in a consistent way, difficult to parse visually or with XML libraries, and too complex for Java XML binders like CASTOR.4.The ability to search for Ids first and then for data (GCMD and ECHO) is better for machine to machine operations rather than the timeouts experienced when returning the entire metadata entry at once. 5.Metadata harvest and export activities between the major catalogs has led to a significant amount of duplication. (This is currently being addressed) 6.Most (if not all

  6. Security in a Replicated Metadata Catalogue

    CERN Document Server

    Koblitz, B

    2007-01-01

    The gLite-AMGA metadata has been developed by NA4 to provide simple relational metadata access for the EGEE user community. As advanced features, which will be the focus of this presentation, AMGA provides very fine-grained security also in connection with the built-in support for replication and federation of metadata. AMGA is extensively used by the biomedical community to store medical images metadata, digital libraries, in HEP for logging and bookkeeping data and in the climate community. The biomedical community intends to deploy a distributed metadata system for medical images consisting of various sites, which range from hospitals to computing centres. Only safe sharing of the highly sensitive metadata as provided in AMGA makes such a scenario possible. Other scenarios are digital libraries, which federate copyright protected (meta-) data into a common catalogue. The biomedical and digital libraries have been deployed using a centralized structure already for some time. They now intend to decentralize ...

  7. XML for catalogers and metadata librarians

    CERN Document Server

    Cole, Timothy W

    2013-01-01

    How are today's librarians to manage and describe the everexpanding volumes of resources, in both digital and print formats? The use of XML in cataloging and metadata workflows can improve metadata quality, the consistency of cataloging workflows, and adherence to standards. This book is intended to enable current and future catalogers and metadata librarians to progress beyond a bare surfacelevel acquaintance with XML, thereby enabling them to integrate XML technologies more fully into their cataloging workflows. Building on the wealth of work on library descriptive practices, cataloging, and metadata, XML for Catalogers and Metadata Librarians explores the use of XML to serialize, process, share, and manage library catalog and metadata records. The authors' expert treatment of the topic is written to be accessible to those with little or no prior practical knowledge of or experience with how XML is used. Readers will gain an educated appreciation of the nuances of XML and grasp the benefit of more advanced ...

  8. A Distributed Infrastructure for Metadata about Metadata: The HDMM Architectural Style and PORTAL-DOORS System

    Directory of Open Access Journals (Sweden)

    Carl Taswell

    2010-06-01

    Full Text Available Both the IRIS-DNS System and the PORTAL-DOORS System share a common architectural style for pervasive metadata networks that operate as distributed metadata management systems with hierarchical authorities for entity registering and attribute publishing. Hierarchical control of metadata redistribution throughout the registry-directory networks constitutes an essential characteristic of this architectural style called Hierarchically Distributed Mobile Metadata (HDMM with its focus on moving the metadata for who what where as fast as possible from servers in response to requests from clients. The novel concept of multilevel metadata about metadata has also been defined for the PORTAL-DOORS System with the use of entity, record, infoset, representation and message metadata. Other new features implemented include the use of aliases, priorities and metaresources.

  9. International Metadata Standards and Enterprise Data Quality Metadata Systems

    Science.gov (United States)

    Habermann, Ted

    2016-01-01

    Well-documented data quality is critical in situations where scientists and decision-makers need to combine multiple datasets from different disciplines and collection systems to address scientific questions or difficult decisions. Standardized data quality metadata could be very helpful in these situations. Many efforts at developing data quality standards falter because of the diversity of approaches to measuring and reporting data quality. The one size fits all paradigm does not generally work well in this situation. I will describe these and other capabilities of ISO 19157 with examples of how they are being used to describe data quality across the NASA EOS Enterprise and also compare these approaches with other standards.

  10. Metadata for Content-Based Image Retrieval

    Directory of Open Access Journals (Sweden)

    Adrian Sterca

    2010-12-01

    Full Text Available This paper presents an image retrieval technique that combines content based image retrieval with pre-computed metadata-based image retrieval. The resulting system will have the advantages of both approaches: the speed/efficiency of metadata-based image retrieval and the accuracy/power of content-based image retrieval.

  11. Leveraging Metadata to Create Better Web Services

    Science.gov (United States)

    Mitchell, Erik

    2012-01-01

    Libraries have been increasingly concerned with data creation, management, and publication. This increase is partly driven by shifting metadata standards in libraries and partly by the growth of data and metadata repositories being managed by libraries. In order to manage these data sets, libraries are looking for new preservation and discovery…

  12. GlamMap : Visualizing library metadata

    NARCIS (Netherlands)

    Betti, Arianna; Gerrits, Dirk; Speckmann, Bettina; van den Berg, Hein

    2014-01-01

    Libraries provide access to large amounts of library metadata. Unfortunately, many libraries only offer textual interfaces for searching and browsing their holdings. Visualisations provide simpler, faster, and more efficient ways to navigate, search and study large quantities of metadata. This paper

  13. A Dynamic Metadata Community Profile for CUAHSI

    Science.gov (United States)

    Bermudez, L.; Piasecki, M.

    2004-12-01

    Common Metadata standards typically lack of domain specific elements, have limited extensibility and do not always resolve semantic heterogeneities that could occur in the annotations. To facilitate the use and extension of metadata specifications a methodology called Dynamic Community Profiles, DCP, is presented. The methodology allows to overwrite elements definitions and to specify core elements as metadata tree paths. DCP uses the Web Ontology Language (OWL), the Resource Description Framework (RDF) and XML syntax to formalize specifications and to create controlled vocabularies in ontologies, which enhances interoperability. This methodology was employed to create a metadata profile for the Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI). The profile was created by extending ISO-19115:2003 geographic metadata standard and restricting the permissible values of some elements. The values used as controlled vocabularies were inferred from hydrologic keywords found in the Global Change Master Directory (GCMD) and from measurement units found in the Hydrologic Handbook. Also, a core metadata set for CUAHSI was formally expressed as tree paths, containing the ISO core set plus additional elements. Finally a tool was developed to test the extension and to allow creation of metadata instances in RDF/XML which conforms to the profile. Also this tool is able to export the core elements to other schema formats such as Metadata Template Files (MTF).

  14. A Metadata-Rich File System

    Energy Technology Data Exchange (ETDEWEB)

    Ames, S; Gokhale, M B; Maltzahn, C

    2009-01-07

    Despite continual improvements in the performance and reliability of large scale file systems, the management of file system metadata has changed little in the past decade. The mismatch between the size and complexity of large scale data stores and their ability to organize and query their metadata has led to a de facto standard in which raw data is stored in traditional file systems, while related, application-specific metadata is stored in relational databases. This separation of data and metadata requires considerable effort to maintain consistency and can result in complex, slow, and inflexible system operation. To address these problems, we have developed the Quasar File System (QFS), a metadata-rich file system in which files, metadata, and file relationships are all first class objects. In contrast to hierarchical file systems and relational databases, QFS defines a graph data model composed of files and their relationships. QFS includes Quasar, an XPATH-extended query language for searching the file system. Results from our QFS prototype show the effectiveness of this approach. Compared to the defacto standard, the QFS prototype shows superior ingest performance and comparable query performance on user metadata-intensive operations and superior performance on normal file metadata operations.

  15. Oceanographic and surface meteorological data collected from Oregon Pump Station by City of Oregon and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2015-06-20 to 2017-08-31 (NCEI Accession 0130547)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0130547 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  16. Oceanographic and surface meteorological data collected from MTU1 Buoy by Michigan Technological University and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-08-31 (NODC Accession 0123646)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123646 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  17. Metadata Standards and Workflow Systems

    Science.gov (United States)

    Habermann, T.

    2012-12-01

    All modern workflow systems include mechanisms for recording inputs, outputs and processes. These descriptions can include details required to reproduce the workflows exactly and, in some cases, can include virtual images of the hardware and operating system. There are several on-going and emerging standards for representing these detailed workflows including the Open Provenance Model (OPM) and the W3C PROV. At the same time, ISO metadata standards include a simple provenance or lineage model that includes many important elements of workflows. The ISO model could play a critical role in sharing and discovering workflow information for collections and perhaps in recording some details in granules. In order for this goal to be reached, connections between the detailed standards and ISO must be understood and conventions for using them must be developed.

  18. Meteorological Monitoring Program

    Energy Technology Data Exchange (ETDEWEB)

    Hancock, H.A. Jr. [ed.; Parker, M.J.; Addis, R.P.

    1994-09-01

    The purpose of this technical report is to provide a comprehensive, detailed overview of the meteorological monitoring program at the Savannah River Site (SRS) near Aiken, South Carolina. The principle function of the program is to provide current, accurate meteorological data as input for calculating the transport and diffusion of any unplanned release of an atmospheric pollutant. The report is recommended for meteorologists, technicians, or any personnel who require an in-depth understanding of the meteorological monitoring program.

  19. Lectures in Micro Meteorology

    DEFF Research Database (Denmark)

    Larsen, Søren Ejling

    This report contains the notes from my lectures on Micro scale meteorology at the Geophysics Department of the Niels Bohr Institute of Copenhagen University. In the period 1993-2012, I was responsible for this course at the University. At the start of the course, I decided that the text books...... available in meteorology at that time did not include enough of the special flavor of micro meteorology that characterized the work of the meteorology group at Risø (presently of the Institute of wind energy of the Danish Technical University). This work was focused on Boundary layer flows and turbulence...

  20. CanCore: Metadata for Learning Objects

    Directory of Open Access Journals (Sweden)

    Norm Friesen

    2002-10-01

    Full Text Available The vision of reusable digital learning resources or objects, made accessible through coordinated repository architectures and metadata technologies, has gained considerable attention within distance education and training communities. However, the pivotal role of metadata in this vision raises important and longstanding issues about classification, description and meaning. The purpose of this paper is to provide an overview of this vision, focusing specifically on issues of semantics. It will describe the CanCore Learning Object Metadata Application Profile as an important first step in addressing these issues in the context of the discovery, reuse and management of learning resources or objects.

  1. Handbook of metadata, semantics and ontologies

    CERN Document Server

    Sicilia, Miguel-Angel

    2013-01-01

    Metadata research has emerged as a discipline cross-cutting many domains, focused on the provision of distributed descriptions (often called annotations) to Web resources or applications. Such associated descriptions are supposed to serve as a foundation for advanced services in many application areas, including search and location, personalization, federation of repositories and automated delivery of information. Indeed, the Semantic Web is in itself a concrete technological framework for ontology-based metadata. For example, Web-based social networking requires metadata describing people and

  2. Metadata in Chaos: how researchers tag radio broadcasts

    DEFF Research Database (Denmark)

    Lykke, Marianne; Lund, Haakon; Skov, Mette

    2015-01-01

    . To optimally support the researchers a user-centred approach was taken to develop the platform and related metadata scheme. Based on the requirements a three level metadata scheme was developed: (1) core archival metadata, (2) LARM metadata, and (3) project-specific metadata. The paper analyses how researchers...... apply the metadata scheme in their research work. The study consists of two studies, a) a qualitative study of subjects and vocabulary of the applied metadata and annotations, and 5 semi-structured interviews about goals for tagging. The findings clearly show that the primary role of LARM...

  3. Structural Metadata Research in the Ears Program

    National Research Council Canada - National Science Library

    Liu, Yang; Shriberg, Elizabeth; Stolcke, Andreas; Peskin, Barbara; Ang, Jeremy; Hillard, Dustin; Ostendorf, Mari; Tomalin, Marcus; Woodland, Phil; Harper, Mary

    2005-01-01

    Both human and automatic processing of speech require recognition of more than just words. In this paper we provide a brief overview of research on structural metadata extraction in the DARPA EARS rich transcription program...

  4. USGS Digital Orthophoto Quad (DOQ) Metadata

    Data.gov (United States)

    Minnesota Department of Natural Resources — Metadata for the USGS DOQ Orthophoto Layer. Each orthophoto is represented by a Quarter 24k Quad tile polygon. The polygon attributes contain the quarter-quad tile...

  5. WDCC Metadata Generation with GeoNetwork

    Science.gov (United States)

    Ramthun, Hans; Lautenschlager, Michael; Winter, Hans-Hermann

    2010-05-01

    Earth system science data like modeling output data are described by metadata. At the WDCC (World Data Center of Climate) the data and metadata are stored inside the CERA (Climate and Environmental Retrieval and Archive) relational database. To fill in the describing metadata several types of XML documents are used to upload data into the database. GeoNetwork is an Ajax based web framework, which offers a wide range of XML data handling for search and update and is especially designed to meet the ISO19115/19139 standard. This framework was extended by the schema's which allow create and update CERA upload XML records. An upload function is also included as well as a connection to the local LDAP (Lightweight Directory Access Protocol) for authentication. Keywords: metadata, WDCC, CERA, Ajax

  6. FSA 2003-2004 Digital Orthophoto Metadata

    Data.gov (United States)

    Minnesota Department of Natural Resources — Metadata for the 2003-2004 FSA Color Orthophotos Layer. Each orthophoto is represented by a Quarter 24k Quad tile polygon. The polygon attributes contain the...

  7. Fire and forest meteorology

    Science.gov (United States)

    SA Ferguson; T.J. Brown; M. Flannigan

    2005-01-01

    The American Meteorological Society symposia series on Fire and Forest Meteorology provides biennial forums for atmospheric and fire scientists to introduce and discuss the latest and most relevant research on weather, climate and fire. This special issue highlights significant work that was presented at the Fifth Symposium in Orlando, Florida during 16-20 November...

  8. Optimising metadata workflows in a distributed information environment

    OpenAIRE

    Robertson, R. John; Barton, Jane

    2005-01-01

    The different purposes present within a distributed information environment create the potential for repositories to enhance their metadata by capitalising on the diversity of metadata available for any given object. This paper presents three conceptual reference models required to achieve this optimisation of metadata workflow: the ecology of repositories, the object lifecycle model, and the metadata lifecycle model. It suggests a methodology for developing the metadata lifecycle model, and ...

  9. Automated Test Methods for XML Metadata

    Science.gov (United States)

    2017-12-28

    definition (XSD) format and other standards and conventions. This method should be of interest primarily to parties having tools or applications that...consume RCC metadata standard documents, and may be of interest to developers of tools or applications that produce RCC metadata standard documents...instance document and encodings to verify that the rules engines and other tools work together. 1. Initialize the programming environment. 2. Write test

  10. Wind Power Meteorology

    DEFF Research Database (Denmark)

    Lundtang Petersen, Erik; Mortensen, Niels Gylling; Landberg, Lars

    Wind power meteorology has evolved as an applied science, firmly founded on boundary-layer meteorology, but with strong links to climatology and geography. It concerns itself with three main areas: siting of wind turbines, regional wind resource assessment, and short-term prediction of the wind...... resource. The history, status and perspectives of wind power meteorology are presented, with emphasis on physical considerations and on its practical application. Following a global view of the wind resource, the elements of boundary layer meteorology which are most important for wind energy are reviewed......: wind profiles and shear, turbulence and gust, and extreme winds. The data used in wind power meteorology stem mainly from three sources: onsite wind measurements, the synoptic networks, and the re-analysis projects. Wind climate analysis, wind resource estimation and siting further require a detailed...

  11. Meteorological satellite systems

    CERN Document Server

    Tan, Su-Yin

    2014-01-01

    Meteorological Satellite Systems” is a primer on weather satellites and their Earth applications. This book reviews historic developments and recent technological advancements in GEO and polar orbiting meteorological satellites. It explores the evolution of these remote sensing technologies and their capabilities to monitor short- and long-term changes in weather patterns in response to climate change. Satellites developed by various countries, such as U.S. meteorological satellites, EUMETSAT, and Russian, Chinese, Japanese and Indian satellite platforms are reviewed. This book also discusses international efforts to coordinate meteorological remote sensing data collection and sharing. This title provides a ready and quick reference for information about meteorological satellites. It serves as a useful tool for a broad audience that includes students, academics, private consultants, engineers, scientists, and teachers.

  12. Science friction: data, metadata, and collaboration.

    Science.gov (United States)

    Edwards, Paul N; Mayernik, Matthew S; Batcheller, Archer L; Bowker, Geoffrey C; Borgman, Christine L

    2011-10-01

    When scientists from two or more disciplines work together on related problems, they often face what we call 'science friction'. As science becomes more data-driven, collaborative, and interdisciplinary, demand increases for interoperability among data, tools, and services. Metadata--usually viewed simply as 'data about data', describing objects such as books, journal articles, or datasets--serve key roles in interoperability. Yet we find that metadata may be a source of friction between scientific collaborators, impeding data sharing. We propose an alternative view of metadata, focusing on its role in an ephemeral process of scientific communication, rather than as an enduring outcome or product. We report examples of highly useful, yet ad hoc, incomplete, loosely structured, and mutable, descriptions of data found in our ethnographic studies of several large projects in the environmental sciences. Based on this evidence, we argue that while metadata products can be powerful resources, usually they must be supplemented with metadata processes. Metadata-as-process suggests the very large role of the ad hoc, the incomplete, and the unfinished in everyday scientific work.

  13. Instruments for meteorological measurement

    International Nuclear Information System (INIS)

    1983-08-01

    The Fundamental Safety Rules applicable to certain types of nuclear installation are intended to clarify the conditions of which observance, for the type of installation concerned and for the subject that they deal with, is considered as equivalent to compliance with regulatory French technical practice. These Rules should facilitate safety analysises and the clear understanding between persons interested in matters related to nuclear safety. They in no way reduce the operator's liability and pose no obstacle to statutory provisions in force. For any installation to which a Fundamental Safety Rule applies according to the foregoing paragraph, the operator may be relieved from application of the Rule if he shows proof that the safety objectives set by the Rule are attained by other means that he proposes within the framework of statutory procedures. Furthermore, the Central Service for the Safety of Nuclear Installations reserves the right at all times to alter any Fundamental Safety Rule, as required, should it deem this necessary, while specifying the applicability conditions. This present rule has for objective to determine the means for meteorological measurement near a site of nuclear facility in which there is not a PWR power plant [fr

  14. Distributed metadata servers for cluster file systems using shared low latency persistent key-value metadata store

    Science.gov (United States)

    Bent, John M.; Faibish, Sorin; Pedone, Jr., James M.; Tzelnic, Percy; Ting, Dennis P. J.; Ionkov, Latchesar A.; Grider, Gary

    2017-12-26

    A cluster file system is provided having a plurality of distributed metadata servers with shared access to one or more shared low latency persistent key-value metadata stores. A metadata server comprises an abstract storage interface comprising a software interface module that communicates with at least one shared persistent key-value metadata store providing a key-value interface for persistent storage of key-value metadata. The software interface module provides the key-value metadata to the at least one shared persistent key-value metadata store in a key-value format. The shared persistent key-value metadata store is accessed by a plurality of metadata servers. A metadata request can be processed by a given metadata server independently of other metadata servers in the cluster file system. A distributed metadata storage environment is also disclosed that comprises a plurality of metadata servers having an abstract storage interface to at least one shared persistent key-value metadata store.

  15. Exposing and Harvesting Metadata Using the OAI Metadata Harvesting Protocol A Tutorial

    CERN Document Server

    Warner, Simeon

    2001-01-01

    In this article I outline the ideas behind the Open Archives Initiative metadata harvesting protocol (OAIMH), and attempt to clarify some common misconceptions. I then consider how the OAIMH protocol can be used to expose and harvest metadata. Perl code examples are given as practical illustration.

  16. Mapping metadata for SWHi : Aligning schemas with library metadata for a historical ontology

    NARCIS (Netherlands)

    Zhang, Junte; Fahmi, I.; Ellermann, Henk; Bouma, G.; Weske, M; Hacid, MS; Godart, C

    2007-01-01

    What are the possibilities of Semantic Web technologies for organizations which traditionally have lots of structured data, such as metadata, available? A library is such a particular organization. We mapped a digital library's descriptive (bibliographic) metadata for a large historical document

  17. METRODOS: Meteorological preprocessor chain

    DEFF Research Database (Denmark)

    Astrup, P.; Mikkelsen, T.; Deme, S.

    2001-01-01

    The METRODOS meteorological preprocessor chain combines measured tower data and coarse grid numerical weather prediction (NWP) data with local scale flow models and similarity scaling to give high resolution approximations of the meteorological situation. Based on available wind velocity...... - heat flux related measurement, e.g. a temperature gradient, are used to give local values of friction velocity and Monin-Obukhov length plus an estimate of the mixing height. The METRODOS meteorological preprocessor chain is an integral part of the RODOS - Real Time On Line Decision Support - program...

  18. US Marine Meteorological Journals

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This series consists of volumes entitled 'Meteorological Journal' (a regulation Navy-issue publication) which were to be completed by masters of merchant vessels...

  19. Lasting Impressions in Meteorology.

    Science.gov (United States)

    Herold, James M.

    1992-01-01

    Describes activities integrating science and art education in which students examine slides of impressionist paintings or photographs of meteorological phenomena to determine the weather conditions depicted and to make and defend weather predictions. Includes a reproducible worksheet. (MDH)

  20. Wave Meteorology and Soaring

    Science.gov (United States)

    Wiley, Scott

    2008-01-01

    This viewgraph document reviews some mountain wave turbulence and operational hazards while soaring. Maps, photographs, and satellite images of the meteorological phenomena are included. Additionally, photographs of aircraft that sustained mountain wave damage are provided.

  1. Metadata aided run selection at ATLAS

    International Nuclear Information System (INIS)

    Buckingham, R M; Gallas, E J; Tseng, J C-L; Viegas, F; Vinek, E

    2011-01-01

    Management of the large volume of data collected by any large scale scientific experiment requires the collection of coherent metadata quantities, which can be used by reconstruction or analysis programs and/or user interfaces, to pinpoint collections of data needed for specific purposes. In the ATLAS experiment at the LHC, we have collected metadata from systems storing non-event-wise data (Conditions) into a relational database. The Conditions metadata (COMA) database tables not only contain conditions known at the time of event recording, but also allow for the addition of conditions data collected as a result of later analysis of the data (such as improved measurements of beam conditions or assessments of data quality). A new web based interface called 'runBrowser' makes these Conditions Metadata available as a Run based selection service. runBrowser, based on PHP and JavaScript, uses jQuery to present selection criteria and report results. It not only facilitates data selection by conditions attributes, but also gives the user information at each stage about the relationship between the conditions chosen and the remaining conditions criteria available. When a set of COMA selections are complete, runBrowser produces a human readable report as well as an XML file in a standardized ATLAS format. This XML can be saved for later use or refinement in a future runBrowser session, shared with physics/detector groups, or used as input to ELSSI (event level Metadata browser) or other ATLAS run or event processing services.

  2. Geospatial metadata retrieval from web services

    Directory of Open Access Journals (Sweden)

    Ivanildo Barbosa

    Full Text Available Nowadays, producers of geospatial data in either raster or vector formats are able to make them available on the World Wide Web by deploying web services that enable users to access and query on those contents even without specific software for geoprocessing. Several providers around the world have deployed instances of WMS (Web Map Service, WFS (Web Feature Service and WCS (Web Coverage Service, all of them specified by the Open Geospatial Consortium (OGC. In consequence, metadata about the available contents can be retrieved to be compared with similar offline datasets from other sources. This paper presents a brief summary and describes the matching process between the specifications for OGC web services (WMS, WFS and WCS and the specifications for metadata required by the ISO 19115 - adopted as reference for several national metadata profiles, including the Brazilian one. This process focuses on retrieving metadata about the identification and data quality packages as well as indicates the directions to retrieve metadata related to other packages. Therefore, users are able to assess whether the provided contents fit to their purposes.

  3. Omics Metadata Management Software v. 1 (OMMS)

    Energy Technology Data Exchange (ETDEWEB)

    2013-09-09

    Our application, the Omics Metadata Management Software (OMMS), answers both needs, empowering experimentalists to generate intuitive, consistent metadata, and to perform bioinformatics analyses and information management tasks via a simple and intuitive web-based interface. Several use cases with short-read sequence datasets are provided to showcase the full functionality of the OMMS, from metadata curation tasks, to bioinformatics analyses and results management and downloading. The OMMS can be implemented as a stand alone-package for individual laboratories, or can be configured for web-based deployment supporting geographically dispersed research teams. Our software was developed with open-source bundles, is flexible, extensible and easily installed and run by operators with general system administration and scripting language literacy.

  4. Pembuatan Aplikasi Metadata Generator untuk Koleksi Peninggalan Warisan Budaya

    Directory of Open Access Journals (Sweden)

    Wimba Agra Wicesa

    2017-03-01

    Full Text Available Warisan budaya merupakan suatu aset penting yang digunakan sebagai sumber informasi dalam mempelajari ilmu sejarah. Mengelola data warisan budaya menjadi suatu hal yang harus diperhatikan guna menjaga keutuhan data warisan budaya di masa depan. Menciptakan sebuah metadata warisan budaya merupakan salah satu langkah yang dapat diambil untuk menjaga nilai dari sebuah artefak. Dengan menggunakan konsep metadata, informasi dari setiap objek warisan budaya tersebut menjadi mudah untuk dibaca, dikelola, maupun dicari kembali meskipun telah tersimpan lama. Selain itu dengan menggunakan konsep metadata, informasi tentang warisan budaya dapat digunakan oleh banyak sistem. Metadata warisan budaya merupakan metadata yang cukup besar. Sehingga untuk membangun metada warisan budaya dibutuhkan waktu yang cukup lama. Selain itu kesalahan (human error juga dapat menghambat proses pembangunan metadata warisan budaya. Proses pembangkitan metadata warisan budaya melalui Aplikasi Metadata Generator menjadi lebih cepat dan mudah karena dilakukan secara otomatis oleh sistem. Aplikasi ini juga dapat menekan human error sehingga proses pembangkitan menjadi lebih efisien.

  5. U.S. EPAs Public Geospatial Metadata Service

    Data.gov (United States)

    U.S. Environmental Protection Agency — EPAs public geospatial metadata service provides external parties (Data.gov, GeoPlatform.gov, and the general public) with access to EPA's geospatial metadata...

  6. Defining an Open Metadata Framework for Proteomics: The PROMIS Project

    OpenAIRE

    MacMullen, W. John; Parmelee, Mary C.; Fenstermacher, David A.; Hemminger, Bradley M.

    2002-01-01

    This presentation describes the PROMIS project under development at UNC Chapel Hill. PROMIS (Proteomics Metadata Interchange Schema) is a proof-of-concept prototype of an open metadata standard for compositional proteomics.

  7. Oceanographic and surface meteorological data collected from station bgsusd2, Sandusky Bay 2, by Bowling Green State University and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2017-06-10 to 2017-08-31 (NCEI Accession 0163831)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0163831 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  8. Oceanographic and surface meteorological data collected from Gibraltar Island Station by Ohio State University; Stone Laboratory and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2015-05-26 to 2017-08-31 (NCEI Accession 0130545)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0130545 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  9. Oceanographic and surface meteorological data collected from Avon Lake Pump Station by Avon Lake Regional Water and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2015-06-28 to 2017-08-31 (NCEI Accession 0130546)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0130546 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  10. Oceanographic and surface meteorological data collected from station Little Cedar Point by University of Toledo and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2015-07-03 to 2017-08-31 (NCEI Accession 0155545)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0155545 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  11. Oceanographic and surface meteorological data collected from station 45165, Monroe, MI, by LimnoTech and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-08-07 to 2017-08-31 (NODC Accession 0123661)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123661 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  12. Oceanographic and surface meteorological data collected from station redbaypoint by Florida Department of Environmental Protection (FLDEP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-13 to 2016-04-28 (NODC Accession 0118778)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118778 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  13. Oceanographic and surface meteorological data collected from station tolomatoriver by Florida Department of Environmental Protection (FLDEP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118780)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118780 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  14. Oceanographic and surface meteorological data collected from Oneida Lake Weather Station (ESF7) by State University of New York College of Environmental Science and Forestry and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-07 to 2017-08-31 (NCEI Accession 0123659)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123659 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  15. Oceanographic and surface meteorological data collected from Ottawa County Pump Station by Ottawa County Regional Water Treatment Plant and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2015-06-28 to 2017-08-31 (NCEI Accession 0130587)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0130587 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  16. Oceanographic and surface meteorological data collected from station Middle Bay Light, AL by Dauphin Island Sea Laboratory (DISL) and assembled by Gulf of Mexico Coastal Ocean Observing System (GCOOS) in the Coastal waters of Alabama and Gulf of Mexico from 2008-01-01 to 2017-05-03 (NCEI Accession 0163754)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0163754 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  17. Oceanographic and surface meteorological data collected from station apachepier by Long Bay Hypoxia Monitoring Consortium (LBHMC) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the North Atlantic Ocean from 2014-02-13 to 2015-07-09 (NODC Accession 0118794)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Accession 0118794 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF)...

  18. Oceanographic and surface meteorological data collected from station frp2 by Carolinas Coastal Ocean Observing and Prediction System (Caro-COOPS) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118736)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118736 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  19. Oceanographic and surface meteorological data collected from station dkkf1 by Everglades National Park (ENP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida, Gulf of Mexico and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118750)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118750 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  20. Oceanographic and surface meteorological data collected from station bdvf1 by Everglades National Park (ENP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118737)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118737 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  1. Oceanographic and surface meteorological data collected from station nfb by University of South Florida (USF) Coastal Ocean Monitoring and Prediction System (USF) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida, Gulf of Mexico and North Atlantic Ocean from 2014-02-13 to 2015-01-29 (NODC Accession 0118790)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0118790 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  2. Oceanographic and surface meteorological data collected from station Cedar Point, AL by Dauphin Island Sea Laboratory (DISL) and assembled by Gulf of Mexico Coastal Ocean Observing System (GCOOS) in the Coastal waters of Alabama and Gulf of Mexico from 2008-04-03 to 2017-04-30 (NCEI Accession 0163213)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0163213 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  3. Oceanographic and surface meteorological data collected from station pkyf1 by Everglades National Park (ENP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida, Gulf of Mexico and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118761)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118761 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  4. Oceanographic and surface meteorological data collected from station cherrygrove by Long Bay Hypoxia Monitoring Consortium (LBHMC) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the North Atlantic Ocean from 2014-02-13 to 2015-07-09 (NODC Accession 0118795)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Accession 0118795 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF)...

  5. Oceanographic and surface meteorological data collected from 45171, Granite Island Buoy, by Northern Michigan University and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2015-07-09 to 2017-08-31 (NCEI Accession 0130588)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0130588 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  6. Oceanographic and surface meteorological data collected from UMD Coastal Buoy by University of Minnesota - Duluth and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-08-31 (NODC Accession 0123648)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123648 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  7. Oceanographic and surface meteorological data collected from station wrbf1 by Everglades National Park (ENP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida, Gulf of Mexico and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118766)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118766 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  8. Oceanographic and surface meteorological data collected from station trrf1 by Everglades National Park (ENP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118764)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118764 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  9. Oceanographic and surface meteorological data collected from Station 45028, Western Lake Superior, by University of Minnesota - Duluth and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-08-31 (NODC Accession 0123649)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123649 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  10. Oceanographic and surface meteorological data collected from station poncedeleonsouth by Florida Department of Environmental Protection (FLDEP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118775)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118775 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  11. Oceanographic and surface meteorological data collected from station tas by University of South Florida (USF) Coastal Ocean Monitoring and Prediction System (USF) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-13 to 2015-01-22 (NODC Accession 0118792)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0118792 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  12. Oceanographic and surface meteorological data collected from station bingslanding by Florida Department of Environmental Protection (FLDEP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118735)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118735 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  13. Oceanographic and surface meteorological data collected from station shp by University of South Florida (USF) Coastal Ocean Monitoring and Prediction System (USF) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-13 to 2015-01-29 (NODC Accession 0118791)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0118791 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  14. Oceanographic and surface meteorological data collected from station gbtf1 by Everglades National Park (ENP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118752)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118752 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  15. Oceanographic and surface meteorological data collected from station racypoint by Florida Department of Environmental Protection (FLDEP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-03-07 to 2016-04-28 (NODC Accession 0118777)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118777 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  16. Oceanographic and surface meteorological data collected from station mukf1 by Everglades National Park (ENP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida, Gulf of Mexico and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118760)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118760 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  17. Oceanographic and surface meteorological data collected from station tcvf1 by Everglades National Park (ENP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida, Gulf of Mexico and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118763)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118763 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  18. Oceanographic and surface meteorological data collected from station lrkf1 by Everglades National Park (ENP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida, Gulf of Mexico and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118759)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118759 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  19. Oceanographic and surface meteorological data collected from station ilm2 by Coastal Ocean Research and Monitoring Program (CORMP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the North Atlantic Ocean from 2014-02-13 to 2016-04-11 (NODC Accession 0118738)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118738 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  20. Oceanographic and surface meteorological data collected from U-GLOS Station 45026, Near Cook Nuclear Plant, by LimnoTech and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-08-31 (NODC Accession 0123647)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123647 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  1. Oceanographic and surface meteorological data collected from station portorange by Florida Department of Environmental Protection (FLDEP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-03-07 to 2016-04-29 (NODC Accession 0118776)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118776 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  2. Oceanographic and surface meteorological data collected from station canf1 by Everglades National Park (ENP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118747)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118747 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  3. Oceanographic and surface meteorological data collected from station sun2 by Carolinas Coastal Ocean Observing and Prediction System (Caro-COOPS) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118741)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118741 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  4. Oceanographic and surface meteorological data collected from station bcp by University of South Florida (USF) Coastal Ocean Monitoring and Prediction System (USF) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida, Gulf of Mexico and North Atlantic Ocean from 2014-02-13 to 2015-01-29 (NODC Accession 0118786)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0118786 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  5. Oceanographic and surface meteorological data collected from station A01: South of Gloucester, MA, by University of Maine and assembled by the Northeastern Regional Association of Coastal Ocean Observing Systems (NERACOOS) in the Gulf of Maine from 2001-07-10 to 2002-03-08 (NCEI Accession 0163363)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0163363 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  6. Oceanographic and surface meteorological data collected from U-GLOS Station 004, Little Traverse Bay, by University of Michigan and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-08-31 (NODC Accession 0123643)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123643 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  7. Oceanographic and surface meteorological data collected from station lmdf1 by Everglades National Park (ENP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida, Gulf of Mexico and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118757)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118757 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  8. Oceanographic and surface meteorological data collected from station melbourne by Florida Department of Environmental Protection (FLDEP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-13 to 2016-04-29 (NODC Accession 0118773)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118773 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  9. Oceanographic and surface meteorological data collected from station c12 by University of South Florida (USF) Coastal Ocean Monitoring and Prediction System (USF) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Gulf of Mexico and North Atlantic Ocean from 2014-02-13 to 2016-05-11 (NODC Accession 0118787)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118787 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  10. Oceanographic and surface meteorological data collected from station Perdido Pass, AL by Dauphin Island Sea Laboratory (DISL) and assembled by Gulf of Mexico Coastal Ocean Observing System (GCOOS) in the Coastal waters of Alabama and Gulf of Mexico from 2011-11-07 to 2017-04-30 (NCEI Accession 0163767)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0163767 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  11. Oceanographic and surface meteorological data collected from station fortmyers by Sanibel-Captiva Conservation Foundation River, Estuary and Coastal Observing Network (SCCF) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida, Gulf of Mexico and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118739)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118739 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  12. Oceanographic and surface meteorological data collected from station shellpoint by Sanibel-Captiva Conservation Foundation River, Estuary and Coastal Observing Network (SCCF) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118784)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118784 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  13. Oceanographic and surface meteorological data collected from station lobo by Florida Atlantic University (FAU) Land/Ocean Biogeochemical Observatory (LOBO) (FAU) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-21 to 2014-11-04 (NODC Accession 0118768)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0118768 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  14. Oceanographic and surface meteorological data collected from station tarponbay by Sanibel-Captiva Conservation Foundation River, Estuary and Coastal Observing Network (SCCF) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida, Gulf of Mexico and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118785)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118785 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  15. Oceanographic and surface meteorological data collected from station gulfofmexico by Sanibel-Captiva Conservation Foundation River, Estuary and Coastal Observing Network (SCCF) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida, Gulf of Mexico and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118782)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118782 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  16. Oceanographic and surface meteorological data collected from station redfishpass by Sanibel-Captiva Conservation Foundation River, Estuary and Coastal Observing Network (SCCF) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida, Gulf of Mexico and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118783)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118783 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  17. Meteorological, physical and time series data collected from station (48114) King Island Buoy by Alaska Ocean Observing System (AOOS) and assembled by Alaska Ocean Observing System (AOOS) in the Bering Sea from 2015-07-23 to 2015-10-21 (NCEI Accession 0163742)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0163742 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  18. Oceanographic and surface meteorological data collected from station ilm3 by Coastal Ocean Research and Monitoring Program (CORMP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the North Atlantic Ocean from 2014-02-13 to 2016-02-01 (NODC Accession 0118742)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Accession 0118742 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF)...

  19. Oceanographic and surface meteorological data collected from station RECON Michigan, Muskegon, by Great Lakes Environmental Research Laboratory and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-23 to 2017-08-31 (NODC Accession 0123651)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123651 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  20. Oceanographic and surface meteorological data collected from station ATW20 by University of Wisconsin-Milwaukee and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-08-31 (NODC Accession 0123639)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123639 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  1. Oceanographic and surface meteorological data collected from station lbrf1 by Everglades National Park (ENP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118755)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118755 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  2. Oceanographic and surface meteorological data collected from station binneydock by Florida Department of Environmental Protection (FLDEP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118770)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118770 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  3. Oceanographic and surface meteorological data collected from station buffalobluff by Florida Department of Environmental Protection (FLDEP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-03-07 to 2016-04-28 (NODC Accession 0118771)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118771 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  4. Oceanographic and surface meteorological data collected from station cnbf1 by Everglades National Park (ENP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118748)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118748 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  5. Oceanographic and surface meteorological data collected from University of Michigan Marine Hydrodynamics Laboratories Bio Buoy by University of Michigan and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-08-31 (NODC Accession 0123645)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123645 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  6. Oceanographic and surface meteorological data collected from University of Michigan Marine Hydrodynamics Laboratories Bio Buoy by University of Michigan and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-08-31 (NCEI Accession 0123660)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123660 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  7. Oceanographic and surface meteorological data collected from station Dauphin Island, AL by Dauphin Island Sea Laboratory (DISL) and assembled by Gulf of Mexico Coastal Ocean Observing System (GCOOS) in the Coastal waters of Alabama and Gulf of Mexico from 2008-01-01 to 2017-04-30 (NCEI Accession 0163672)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0163672 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  8. Oceanographic and surface meteorological data collected from station wiwf1 by Everglades National Park (ENP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118765)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118765 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  9. Oceanographic and surface meteorological data collected from station gbif1 by Everglades National Park (ENP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118751)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118751 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  10. Oceanographic and surface meteorological data collected from station GB17 by University of Wisconsin-Milwaukee and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-08-31 (NODC Accession 0123640)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123640 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  11. Oceanographic and surface meteorological data collected from station lrif1 by Everglades National Park (ENP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118758)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118758 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  12. Oceanographic and surface meteorological data collected from station Bon Secour, LA by Dauphin Island Sea Laboratory (DISL) and assembled by Gulf of Mexico Coastal Ocean Observing System (GCOOS) in the Coastal waters of Alabama and Gulf of Mexico from 2011-01-01 to 2017-05-02 (NCEI Accession 0163204)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0163204 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  13. Oceanographic and surface meteorological data collected from station hcef1 by Everglades National Park (ENP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118753)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118753 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  14. Oceanographic and surface meteorological data collected from station Katrina Cut, AL by Dauphin Island Sea Laboratory (DISL) and assembled by Gulf of Mexico Coastal Ocean Observing System (GCOOS) in the Coastal waters of Alabama and Gulf of Mexico from 2011-04-15 to 2017-05-04 (NCEI Accession 0163673)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0163673 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  15. Oceanographic and surface meteorological data collected from station Sandusky Bay by Bowling Green State University and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2015-07-04 to 2017-08-31 (NCEI Accession 0155656)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0155656 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  16. Oceanographic and surface meteorological data collected from station naplesbay by Florida Department of Environmental Protection (FLDEP) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the Coastal Waters of Florida and North Atlantic Ocean from 2014-02-13 to 2016-05-31 (NODC Accession 0118774)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0118774 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  17. Oceanographic and surface meteorological data collected from station Meaher Park, AL by Dauphin Island Sea Laboratory (DISL) and assembled by Gulf of Mexico Coastal Ocean Observing System (GCOOS) in the Coastal waters of Alabama and Gulf of Mexico from 2008-01-01 to 2017-05-04 (NCEI Accession 0163755)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0163755 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  18. Oceanographic and surface meteorological data collected from station 2ndave by Long Bay Hypoxia Monitoring Consortium (LBHMC) and assembled by Southeast Coastal Ocean Observing Regional Association (SECOORA) in the North Atlantic Ocean from 2014-02-13 to 2015-06-01 (NODC Accession 0118793)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0118793 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  19. Oceanographic and surface meteorological data collected from station City of Toledo Water Intake Crib by LimnoTech and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2015-05-20 to 2017-08-31 (NCEI Accession 0130548)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0130548 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  20. Oceanographic and surface meteorological data collected from Toledo Low Service Pump Station by LimnoTech and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2015-05-12 to 2017-08-31 (NCEI Accession 0130072)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0130072 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  1. Creating metadata that work for digital libraries and Google

    OpenAIRE

    Dawson, Alan

    2004-01-01

    For many years metadata has been recognised as a significant component of the digital information environment. Substantial work has gone into creating complex metadata schemes for describing digital content. Yet increasingly Web search engines, and Google in particular, are the primary means of discovering and selecting digital resources, although they make little use of metadata. This article considers how digital libraries can gain more value from their metadata by adapting it for Google us...

  2. METRODOS: Meteorological preprocessor chain

    DEFF Research Database (Denmark)

    Astrup, P.; Mikkelsen, T.; Deme, S.

    2001-01-01

    The METRODOS meteorological preprocessor chain combines measured tower data and coarse grid numerical weather prediction (NWP) data with local scale flow models and similarity scaling to give high resolution approximations of the meteorological situation. Based on available wind velocity...... - heat flux related measurement, e.g. a temperature gradient, are used to give local values of friction velocity and Monin-Obukhov length plus an estimate of the mixing height. The METRODOS meteorological preprocessor chain is an integral part of the RODOS - Real Time On Line Decision Support - program...... and direction measurements/NWP predictions, the LINCOM or the MCF flow model determines the wind field on a 1/2 to 1 km grid over the area of interest, taking the influence of orography and mixed roughness into consideration. For each grid point the obtained wind and the most appropriate - normally the nearest...

  3. Multimedia Learning Systems Based on IEEE Learning Object Metadata (LOM).

    Science.gov (United States)

    Holzinger, Andreas; Kleinberger, Thomas; Muller, Paul

    One of the "hottest" topics in recent information systems and computer science is metadata. Learning Object Metadata (LOM) appears to be a very powerful mechanism for representing metadata, because of the great variety of LOM Objects. This is on of the reasons why the LOM standard is repeatedly cited in projects in the field of eLearning…

  4. Handling multiple metadata streams regarding digital learning material

    NARCIS (Netherlands)

    Roes, J.B.M.; Vuuren, J. van; Verbeij, N.; Nijstad, H.

    2010-01-01

    This paper presents the outcome of a study performed in the Netherlands on handling multiple metadata streams regarding digital learning material. The paper describes the present metadata architecture in the Netherlands, the present suppliers and users of metadata and digital learning materials. It

  5. A quick scan on possibilities for automatic metadata generation

    NARCIS (Netherlands)

    Benneker, Frank

    2006-01-01

    The Quick Scan is a report on research into useable solutions for automatic generation of metadata or parts of metadata. The aim of this study is to explore possibilities for facilitating the process of attaching metadata to learning objects. This document is aimed at developers of digital learning

  6. Meteorology in site operations

    International Nuclear Information System (INIS)

    Anon.

    1986-01-01

    During the site selection and design phases of a plant, meteorological assistance must be based on past records, usually accumulated at stations not actually on the site. These preliminary atadvices will be averages and extremes that might be expected. After a location has been chosen and work has begun, current and forecast weather conditions become of immediate concern. On-site meteorological observations and forecasts have many applications to the operating program of an atomic energy site. Requirements may range from observations of the daily minimum temperatures to forecasts of radiation dosages from airborne clouds

  7. Applied Meteorology Unit (AMU)

    Science.gov (United States)

    Bauman, William; Crawford, Winifred; Barrett, Joe; Watson, Leela; Wheeler, Mark

    2010-01-01

    This report summarizes the Applied Meteorology Unit (AMU) activities for the first quarter of Fiscal Year 2010 (October - December 2009). A detailed project schedule is included in the Appendix. Included tasks are: (1) Peak Wind Tool for User Launch Commit Criteria (LCC), (2) Objective Lightning Probability Tool, Phase III, (3) Peak Wind Tool for General Forecasting, Phase II, (4) Upgrade Summer Severe Weather Tool in Meteorological Interactive Data Display System (MIDDS), (5) Advanced Regional Prediction System (ARPS) Data Analysis System (ADAS) Update and Maintainability, (5) Verify 12-km resolution North American Model (MesoNAM) Performance, and (5) Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) Graphical User Interface.

  8. Metadata Guidelines for Digital Moving Images

    National Research Council Canada - National Science Library

    Flynn, Marcy

    2000-01-01

    ...." Examples for each data element and sample records are presented. Technical metadata essential to the preservation and management of digital materials is also addressed in the Guidelines. This manual is also available at the Defense Virtual Library Web site, http://dvl.dtic.mil:8100/notes.html.

  9. Metadata management and semantics in microarray repositories.

    Science.gov (United States)

    Kocabaş, F; Can, T; Baykal, N

    2011-12-01

    The number of microarray and other high-throughput experiments on primary repositories keeps increasing as do the size and complexity of the results in response to biomedical investigations. Initiatives have been started on standardization of content, object model, exchange format and ontology. However, there are backlogs and inability to exchange data between microarray repositories, which indicate that there is a great need for a standard format and data management. We have introduced a metadata framework that includes a metadata card and semantic nets that make experimental results visible, understandable and usable. These are encoded in syntax encoding schemes and represented in RDF (Resource Description Frame-word), can be integrated with other metadata cards and semantic nets, and can be exchanged, shared and queried. We demonstrated the performance and potential benefits through a case study on a selected microarray repository. We concluded that the backlogs can be reduced and that exchange of information and asking of knowledge discovery questions can become possible with the use of this metadata framework.

  10. Metadata-catalogue of European spatial datasets

    NARCIS (Netherlands)

    Willemen, J.P.M.; Kooistra, L.

    2004-01-01

    In order to facilitate a more effective accessibility of European spatial datasets, an assessment was carried out by the GeoDesk of the WUR to identify and describe key datasets that will be relevant for research carried out within WUR and MNP. The outline of the Metadata catalogue European spatial

  11. Metadata Effectiveness in Internet Discovery: An Analysis of Digital Collection Metadata Elements and Internet Search Engine Keywords

    Science.gov (United States)

    Yang, Le

    2016-01-01

    This study analyzed digital item metadata and keywords from Internet search engines to learn what metadata elements actually facilitate discovery of digital collections through Internet keyword searching and how significantly each metadata element affects the discovery of items in a digital repository. The study found that keywords from Internet…

  12. Computer Exercises in Meteorology.

    Science.gov (United States)

    Trapasso, L. Michael; Conner, Glen; Stallins, Keith

    Beginning with Western Kentucky University's (Bowling Green) fall 1999 semester, exercises required for the geography and meteorology course used computers for learning. This course enrolls about 250 students per year, most of whom choose it to fulfill a general education requirement. Of the 185 geography majors, it is required for those who…

  13. Multi-facetted Metadata - Describing datasets with different metadata schemas at the same time

    Science.gov (United States)

    Ulbricht, Damian; Klump, Jens; Bertelmann, Roland

    2013-04-01

    Inspired by the wish to re-use research data a lot of work is done to bring data systems of the earth sciences together. Discovery metadata is disseminated to data portals to allow building of customized indexes of catalogued dataset items. Data that were once acquired in the context of a scientific project are open for reappraisal and can now be used by scientists that were not part of the original research team. To make data re-use easier, measurement methods and measurement parameters must be documented in an application metadata schema and described in a written publication. Linking datasets to publications - as DataCite [1] does - requires again a specific metadata schema and every new use context of the measured data may require yet another metadata schema sharing only a subset of information with the meta information already present. To cope with the problem of metadata schema diversity in our common data repository at GFZ Potsdam we established a solution to store file-based research data and describe these with an arbitrary number of metadata schemas. Core component of the data repository is an eSciDoc infrastructure that provides versioned container objects, called eSciDoc [2] "items". The eSciDoc content model allows assigning files to "items" and adding any number of metadata records to these "items". The eSciDoc items can be submitted, revised, and finally published, which makes the data and metadata available through the internet worldwide. GFZ Potsdam uses eSciDoc to support its scientific publishing workflow, including mechanisms for data review in peer review processes by providing temporary web links for external reviewers that do not have credentials to access the data. Based on the eSciDoc API, panMetaDocs [3] provides a web portal for data management in research projects. PanMetaDocs, which is based on panMetaWorks [4], is a PHP based web application that allows to describe data with any XML-based schema. It uses the eSciDoc infrastructures

  14. Surface Meteorology and Solar Energy

    Data.gov (United States)

    National Aeronautics and Space Administration — Surface Meteorology and Solar Energy data - over 200 satellite-derived meteorology and solar energy parameters, monthly averaged from 22 years of data, global solar...

  15. Virtual Meteorological Center

    Directory of Open Access Journals (Sweden)

    Marius Brinzila

    2007-10-01

    Full Text Available A virtual meteorological center, computer based with Internet possibility transmission of the information is presented. Circumstance data is collected with logging field meteorological station. The station collects and automatically save data about the temperature in the air, relative humidity, pressure, wind speed and wind direction, rain gauge, solar radiation and air quality. Also can perform sensors test, analyze historical data and evaluate statistical information. The novelty of the system is that it can publish data over the Internet using LabVIEW Web Server capabilities and deliver a video signal to the School TV network. Also the system performs redundant measurement of temperature and humidity and was improved using new sensors and an original signal conditioning module.

  16. Meteorological instrumentation for nuclear installations

    International Nuclear Information System (INIS)

    Costa, A.C.L. da.

    1983-01-01

    The main requirements of regulatory agencies, concerning the meteorological instrumentation needed for the licensing of nuclear facilities are discussed. A description is made of the operational principles of sensors for the various meteorological parameters and associated electronic systems. Finally, it is presented an analysis of the problems associated with grounding of a typical meteorological station. (Author) [pt

  17. Meteorological instrumentation for nuclear facilities

    International Nuclear Information System (INIS)

    Costa, A.C.L. da.

    1983-01-01

    The main requirements of regulatory agencies, concerning the meteorological instrumentation needed for the licensing of nuclear facilities are discussed. A description is made of the operational principles of sensors for the various meteorological parameters and associated electronic systems. An analysis of the problems associated with grounding of a typical meteorological station is presented. (Author) [pt

  18. Meteorological satellite accomplishments

    Science.gov (United States)

    Allison, L. J.; Arking, A.; Bandeen, W. R.; Shenk, W. E.; Wexler, R.

    1975-01-01

    Meteorological satellites include experimental satellites operated by NASA and operational satellites operated by the National Oceanic and Atmospheric Administration (NOAA). The operational system currently provides pictures of the entire globe, temperature measurements throughout the world, and wind measurements in selected parts of the Atlantic and Pacific oceans. Aspects of vertical sounding are discussed along with questions of parameter extraction technique development, macroscale phenomena, the heat budget of the earth-atmosphere system and the climate, and studies of ocean surface and hydrology.

  19. Mining Building Metadata by Data Stream Comparison

    DEFF Research Database (Denmark)

    Holmegaard, Emil; Kjærgaard, Mikkel Baun

    2016-01-01

    ways to annotate sensor and actuation points. This makes it difficult to create intuitive queries for retrieving data streams from points. Another problem is the amount of insufficient or missing metadata. We introduce Metafier, a tool for extracting metadata from comparing data streams. Metafier...... are Dynamic Time Warping (DTW), Empirical Mode Decomposition (EMD), and the differential coefficient. Two of the algorithms compare the slope of the data stream in the values. EMD finds similarities based on the frequency bands among the data stream. By using several algorithms the system is robust enough...... to handle data streams with only slightly similar patterns. We have evaluated Metafier with points and data from one building located in Denmark. We have evaluated Metafier with 903 points, and the overall accuracy, with only 3 known examples, was 94.71%. Furthermore we found that using DTW for mining...

  20. Metadata Analysis at the Command-Line

    Directory of Open Access Journals (Sweden)

    Mark Phillips

    2013-01-01

    Full Text Available Over the past few years the University of North Texas Libraries' Digital Projects Unit (DPU has developed a set of metadata analysis tools, processes, and methodologies aimed at helping to focus limited quality control resources on the areas of the collection where they might have the most benefit. The key to this work lies in its simplicity: records harvested from OAI-PMH-enabled digital repositories are transformed into a format that makes them easily parsable using traditional Unix/Linux-based command-line tools. This article describes the overall methodology, introduces two simple open-source tools developed to help with the aforementioned harvesting and breaking, and provides example commands to demonstrate some common metadata analysis requests. All software tools described in the article are available with an open-source license via the author's GitHub account.

  1. Testing Metadata Existence of Web Map Services

    Directory of Open Access Journals (Sweden)

    Jan Růžička

    2011-05-01

    Full Text Available For a general user is quite common to use data sources available on WWW. Almost all GIS software allow to use data sources available via Web Map Service (ISO/OGC standard interface. The opportunity to use different sources and combine them brings a lot of problems that were discussed many times on conferences or journal papers. One of the problem is based on non existence of metadata for published sources. The question was: were the discussions effective? The article is partly based on comparison of situation for metadata between years 2007 and 2010. Second part of the article is focused only on 2010 year situation. The paper is created in a context of research of intelligent map systems, that can be used for an automatic or a semi-automatic map creation or a map evaluation.

  2. Extreme meteorological conditions

    International Nuclear Information System (INIS)

    Altinger de Schwarzkopf, M.L.

    1983-01-01

    Different meteorological variables which may reach significant extreme values, such as the windspeed and, in particular, its occurrence through tornadoes and hurricanes that necesarily incide and wich must be taken into account at the time of nuclear power plants' installation, are analyzed. For this kind of study, it is necessary to determine the basic phenomenum of design. Two criteria are applied to define the basic values of design for extreme meteorological variables. The first one determines the expected extreme value: it is obtained from analyzing the recurence of the phenomenum in a convened period of time, wich may be generally of 50 years. The second one determines the extreme value of low probability, taking into account the nuclear power plant's operating life -f.ex. 25 years- and considering, during said lapse, the occurrence probabilities of extreme meteorological phenomena. The values may be determined either by the deterministic method, which is based on the acknowledgement of the fundamental physical characteristics of the phenomena or by the probabilistic method, that aims to the analysis of historical statistical data. Brief comments are made on the subject in relation to the Argentine Republic area. (R.J.S.) [es

  3. A Highly Available Grid Metadata Catalog

    DEFF Research Database (Denmark)

    Jensen, Henrik Thostrup; Kleist, Joshva

    2009-01-01

    This article presents a metadata catalog, intended foruse in grids. The catalog provides high availability, by replication across several hosts. The replicas are kept consistent using a replication protocol based on the Paxos algorithm. A majority of the replicas must be available in order...... HTTP with proxy certificates, and uses GACL for flexible access control.The performance of the catalog is tested in several ways, including a distributed setup between geographically separated sites....

  4. Combined use of semantics and metadata to manage Research Data Life Cycle in Environmental Sciences

    Science.gov (United States)

    Aguilar Gómez, Fernando; de Lucas, Jesús Marco; Pertinez, Esther; Palacio, Aida

    2017-04-01

    The use of metadata to contextualize datasets is quite extended in Earth System Sciences. There are some initiatives and available tools to help data managers to choose the best metadata standard that fit their use cases, like the DCC Metadata Directory (http://www.dcc.ac.uk/resources/metadata-standards). In our use case, we have been gathering physical, chemical and biological data from a water reservoir since 2010. A well metadata definition is crucial not only to contextualize our own data but also to integrate datasets from other sources like satellites or meteorological agencies. That is why we have chosen EML (Ecological Metadata Language), which integrates many different elements to define a dataset, including the project context, instrumentation and parameters definition, and the software used to process, provide quality controls and include the publication details. Those metadata elements can contribute to help both human and machines to understand and process the dataset. However, the use of metadata is not enough to fully support the data life cycle, from the Data Management Plan definition to the Publication and Re-use. To do so, we need to define not only metadata and attributes but also the relationships between them, so semantics are needed. Ontologies, being a knowledge representation, can contribute to define the elements of a research data life cycle, including DMP, datasets, software, etc. They also can define how the different elements are related between them and how they interact. The first advantage of developing an ontology of a knowledge domain is that they provide a common vocabulary hierarchy (i.e. a conceptual schema) that can be used and standardized by all the agents interested in the domain (either humans or machines). This way of using ontologies is one of the basis of the Semantic Web, where ontologies are set to play a key role in establishing a common terminology between agents. To develop an ontology we are using a graphical tool

  5. GraphMeta: Managing HPC Rich Metadata in Graphs

    Energy Technology Data Exchange (ETDEWEB)

    Dai, Dong; Chen, Yong; Carns, Philip; Jenkins, John; Zhang, Wei; Ross, Robert

    2016-01-01

    High-performance computing (HPC) systems face increasingly critical metadata management challenges, especially in the approaching exascale era. These challenges arise not only from exploding metadata volumes, but also from increasingly diverse metadata, which contains data provenance and arbitrary user-defined attributes in addition to traditional POSIX metadata. This ‘rich’ metadata is becoming critical to supporting advanced data management functionality such as data auditing and validation. In our prior work, we identified a graph-based model as a promising solution to uniformly manage HPC rich metadata due to its flexibility and generality. However, at the same time, graph-based HPC rich metadata anagement also introduces significant challenges to the underlying infrastructure. In this study, we first identify the challenges on the underlying infrastructure to support scalable, high-performance rich metadata management. Based on that, we introduce GraphMeta, a graphbased engine designed for this use case. It achieves performance scalability by introducing a new graph partitioning algorithm and a write-optimal storage engine. We evaluate GraphMeta under both synthetic and real HPC metadata workloads, compare it with other approaches, and demonstrate its advantages in terms of efficiency and usability for rich metadata management in HPC systems.

  6. Transforming Dermatologic Imaging for the Digital Era: Metadata and Standards.

    Science.gov (United States)

    Caffery, Liam J; Clunie, David; Curiel-Lewandrowski, Clara; Malvehy, Josep; Soyer, H Peter; Halpern, Allan C

    2018-01-17

    Imaging is increasingly being used in dermatology for documentation, diagnosis, and management of cutaneous disease. The lack of standards for dermatologic imaging is an impediment to clinical uptake. Standardization can occur in image acquisition, terminology, interoperability, and metadata. This paper presents the International Skin Imaging Collaboration position on standardization of metadata for dermatologic imaging. Metadata is essential to ensure that dermatologic images are properly managed and interpreted. There are two standards-based approaches to recording and storing metadata in dermatologic imaging. The first uses standard consumer image file formats, and the second is the file format and metadata model developed for the Digital Imaging and Communication in Medicine (DICOM) standard. DICOM would appear to provide an advantage over using consumer image file formats for metadata as it includes all the patient, study, and technical metadata necessary to use images clinically. Whereas, consumer image file formats only include technical metadata and need to be used in conjunction with another actor-for example, an electronic medical record-to supply the patient and study metadata. The use of DICOM may have some ancillary benefits in dermatologic imaging including leveraging DICOM network and workflow services, interoperability of images and metadata, leveraging existing enterprise imaging infrastructure, greater patient safety, and better compliance to legislative requirements for image retention.

  7. Mdmap: A Tool for Metadata Collection and Matching

    Directory of Open Access Journals (Sweden)

    Rico Simke

    2014-10-01

    Full Text Available This paper describes a front-end for the semi-automatic collection, matching, and generation of bibliographic metadata obtained from different sources for use within a digitization architecture. The Library of a Billion Words project is building an infrastructure for digitizing text that requires high-quality bibliographic metadata, but currently only sparse metadata from digitized editions is available. The project’s approach is to collect metadata for each digitized item from as many sources as possible. An expert user can then use an intuitive front-end tool to choose matching metadata. The collected metadata are centrally displayed in an interactive grid view. The user can choose which metadata they want to assign to a certain edition, and export these data as MARCXML. This paper presents a new approach to bibliographic work and metadata correction. We try to achieve a high quality of the metadata by generating a large amount of metadata to choose from, as well as by giving librarians an intuitive tool to manage their data.

  8. Leveraging Metadata to Create Interactive Images... Today!

    Science.gov (United States)

    Hurt, Robert L.; Squires, G. K.; Llamas, J.; Rosenthal, C.; Brinkworth, C.; Fay, J.

    2011-01-01

    The image gallery for NASA's Spitzer Space Telescope has been newly rebuilt to fully support the Astronomy Visualization Metadata (AVM) standard to create a new user experience both on the website and in other applications. We encapsulate all the key descriptive information for a public image, including color representations and astronomical and sky coordinates and make it accessible in a user-friendly form on the website, but also embed the same metadata within the image files themselves. Thus, images downloaded from the site will carry with them all their descriptive information. Real-world benefits include display of general metadata when such images are imported into image editing software (e.g. Photoshop) or image catalog software (e.g. iPhoto). More advanced support in Microsoft's WorldWide Telescope can open a tagged image after it has been downloaded and display it in its correct sky position, allowing comparison with observations from other observatories. An increasing number of software developers are implementing AVM support in applications and an online image archive for tagged images is under development at the Spitzer Science Center. Tagging images following the AVM offers ever-increasing benefits to public-friendly imagery in all its standard forms (JPEG, TIFF, PNG). The AVM standard is one part of the Virtual Astronomy Multimedia Project (VAMP); http://www.communicatingastronomy.org

  9. Women in Meteorology.

    Science.gov (United States)

    Lemone, Margaret A.; Waukau, Patricia L.

    1982-11-01

    The names of 927 women who are or have been active in meteorology or closely related fields have been obtained from various sources. Of these women, at least 500 are presently active. An estimated 4-5% of the total number of Ph.D.s in meteorology are awarded to women. About 10% of those receiving B.S. and M.S. degrees are women.The work patterns, accomplishments, and salaries of employed women meteorologists have been summarized from 330 responses to questionnaires, as functions of age, family status, part- or full-time working status, and employing institutions. It was found that women meteorologists holding Ph.D.s are more likely than their male counterparts to be employed by universities. As increasing number of women were employed in operational meteorology, although few of them were married and fewer still responsible for children. Several women were employed by private industry and some had advanced into managerial positions, although at the present time, such positions remain out of the reach of most women.The subjective and objective effects of several gender-related factors have been summarized from the comments and responses to the questionnaires. The primary obstacles to advancement were found to be part-time work and the responsibility for children. Part-time work was found to have a clearly negative effect on salary increase as a function of age. prejudicated discrimination and rules negatively affecting women remain important, especially to the older women, and affirmative action programs are generally seen as beneficial.Surprisingly, in contrast to the experience of women in other fields of science, women Ph.D.s in meteorology earn salaries comparable of their employment in government or large corporations and universities where there are strong affirmative action programs and above-average salaries. Based on the responses to the questionnaire, the small size of the meteorological community is also a factor, enabling women to become recognized

  10. Study on high-level waste geological disposal metadata model

    International Nuclear Information System (INIS)

    Ding Xiaobin; Wang Changhong; Zhu Hehua; Li Xiaojun

    2008-01-01

    This paper expatiated the concept of metadata and its researches within china and abroad, then explain why start the study on the metadata model of high-level nuclear waste deep geological disposal project. As reference to GML, the author first set up DML under the framework of digital underground space engineering. Based on DML, a standardized metadata employed in high-level nuclear waste deep geological disposal project is presented. Then, a Metadata Model with the utilization of internet is put forward. With the standardized data and CSW services, this model may solve the problem in the data sharing and exchanging of different data form A metadata editor is build up in order to search and maintain metadata based on this model. (authors)

  11. An emergent theory of digital library metadata enrich then filter

    CERN Document Server

    Stevens, Brett

    2015-01-01

    An Emergent Theory of Digital Library Metadata is a reaction to the current digital library landscape that is being challenged with growing online collections and changing user expectations. The theory provides the conceptual underpinnings for a new approach which moves away from expert defined standardised metadata to a user driven approach with users as metadata co-creators. Moving away from definitive, authoritative, metadata to a system that reflects the diversity of users’ terminologies, it changes the current focus on metadata simplicity and efficiency to one of metadata enriching, which is a continuous and evolving process of data linking. From predefined description to information conceptualised, contextualised and filtered at the point of delivery. By presenting this shift, this book provides a coherent structure in which future technological developments can be considered.

  12. The role of metadata in managing large environmental science datasets. Proceedings

    Energy Technology Data Exchange (ETDEWEB)

    Melton, R.B.; DeVaney, D.M. [eds.] [Pacific Northwest Lab., Richland, WA (United States); French, J. C. [Univ. of Virginia, (United States)

    1995-06-01

    The purpose of this workshop was to bring together computer science researchers and environmental sciences data management practitioners to consider the role of metadata in managing large environmental sciences datasets. The objectives included: establishing a common definition of metadata; identifying categories of metadata; defining problems in managing metadata; and defining problems related to linking metadata with primary data.

  13. Assessing Metadata Quality of a Federally Sponsored Health Data Repository

    OpenAIRE

    Marc, David T.; Beattie, James; Herasevich, Vitaly; Gatewood, La?l; Zhang, Rui

    2017-01-01

    The U.S. Federal Government developed HealthData.gov to disseminate healthcare datasets to the public. Metadata is provided for each datasets and is the sole source of information to find and retrieve data. This study employed automated quality assessments of the HealthData.gov metadata published from 2012 to 2014 to measure completeness, accuracy, and consistency of applying standards. The results demonstrated that metadata published in earlier years had lower completeness, accuracy, and con...

  14. Mapping the Martian Meteorology

    Science.gov (United States)

    Allison, M.; Ross, J. D.; Solomon, N.

    1999-01-01

    The Mars-adapted version of the NASA/GISS general circulation model (GCM) has been applied to the hourly/daily simulation of the planet's meteorology over several seasonal orbits. The current running version of the model includes a diurnal solar cycle, CO2 sublimation, and a mature parameterization of upper level wave drag with a vertical domain extending from the surface up to the 6microb level. The benchmark simulations provide a four-dimensional archive for the comparative evaluation of various schemes for the retrieval of winds from anticipated polar orbiter measurements of temperatures by the Pressure Modulator Infrared Radiometer. Additional information is contained in the original extended abstract.

  15. CMO: Cruise Metadata Organizer for JAMSTEC Research Cruises

    Science.gov (United States)

    Fukuda, K.; Saito, H.; Hanafusa, Y.; Vanroosebeke, A.; Kitayama, T.

    2011-12-01

    JAMSTEC's Data Research Center for Marine-Earth Sciences manages and distributes a wide variety of observational data and samples obtained from JAMSTEC research vessels and deep sea submersibles. Generally, metadata are essential to identify data and samples were obtained. In JAMSTEC, cruise metadata include cruise information such as cruise ID, name of vessel, research theme, and diving information such as dive number, name of submersible and position of diving point. They are submitted by chief scientists of research cruises in the Microsoft Excel° spreadsheet format, and registered into a data management database to confirm receipt of observational data files, cruise summaries, and cruise reports. The cruise metadata are also published via "JAMSTEC Data Site for Research Cruises" within two months after end of cruise. Furthermore, these metadata are distributed with observational data, images and samples via several data and sample distribution websites after a publication moratorium period. However, there are two operational issues in the metadata publishing process. One is that duplication efforts and asynchronous metadata across multiple distribution websites due to manual metadata entry into individual websites by administrators. The other is that differential data types or representation of metadata in each website. To solve those problems, we have developed a cruise metadata organizer (CMO) which allows cruise metadata to be connected from the data management database to several distribution websites. CMO is comprised of three components: an Extensible Markup Language (XML) database, an Enterprise Application Integration (EAI) software, and a web-based interface. The XML database is used because of its flexibility for any change of metadata. Daily differential uptake of metadata from the data management database to the XML database is automatically processed via the EAI software. Some metadata are entered into the XML database using the web

  16. CHIME: A Metadata-Based Distributed Software Development Environment

    National Research Council Canada - National Science Library

    Dossick, Stephen E; Kaiser, Gail E

    2005-01-01

    We introduce CHIME, the Columbia Hypermedia IMmersion Environment, a metadata-based information environment, and describe its potential applications for internet and intranet-based distributed software development...

  17. Air pollution meteorology

    International Nuclear Information System (INIS)

    Shirvaikar, V.V.; Daoo, V.J.

    2002-06-01

    This report is intended as a training cum reference document for scientists posted at the Environmental Laboratories at the Nuclear Power Station Sites and other sites of the Department of Atomic Energy with installations emitting air pollutants, radioactive or otherwise. Since a manual already exists for the computation of doses from radioactive air pollutants, a general approach is take here i.e. air pollutants in general are considered. The first chapter presents a brief introduction to the need and scope of air pollution dispersion modelling. The second chapter is a very important chapter discussing the aspects of meteorology relevant to air pollution and dispersion modelling. This chapter is important because without this information one really does not understand the phenomena affecting dispersion, the scope and applicability of various models or their limitations under various weather and site conditions. The third chapter discusses the air pollution models in detail. These models are applicable to distances of a few tens of kilometres. The fourth chapter discusses the various aspects of meteorological measurements relevant to air pollution. The chapters are followed by two appendices. Apendix A discusses the reliability of air pollution estimates. Apendix B gives some practical examples relevant to general air pollution. It is hoped that the document will prove very useful to the users. (author)

  18. Metadata For Identity Management of Population Registers

    Directory of Open Access Journals (Sweden)

    Olivier Glassey

    2011-04-01

    Full Text Available A population register is an inventory of residents within a country, with their characteristics (date of birth, sex, marital status, etc. and other socio-economic data, such as occupation or education. However, data on population are also stored in numerous other public registers such as tax, land, building and housing, military, foreigners, vehicles, etc. Altogether they contain vast amounts of personal and sensitive information. Access to public information is granted by law in many countries, but this transparency is generally subject to tensions with data protection laws. This paper proposes a framework to analyze data access (or protection requirements, as well as a model of metadata for data exchange.

  19. Metadata: A user`s view

    Energy Technology Data Exchange (ETDEWEB)

    Bretherton, F.P. [Univ. of Wisconsin, Madison, WI (United States); Singley, P.T. [Oak Ridge National Lab., TN (United States)

    1994-12-31

    An analysis is presented of the uses of metadata from four aspects of database operations: (1) search, query, retrieval, (2) ingest, quality control, processing, (3) application to application transfer; (4) storage, archive. Typical degrees of database functionality ranging from simple file retrieval to interdisciplinary global query with metadatabase-user dialog and involving many distributed autonomous databases, are ranked in approximate order of increasing sophistication of the required knowledge representation. An architecture is outlined for implementing such functionality in many different disciplinary domains utilizing a variety of off the shelf database management subsystems and processor software, each specialized to a different abstract data model.

  20. Information resource description creating and managing metadata

    CERN Document Server

    Hider, Philip

    2012-01-01

    An overview of the field of information organization that examines resource description as both a product and process of the contemporary digital environment.This timely book employs the unifying mechanism of the semantic web and the resource description framework to integrate the various traditions and practices of information and knowledge organization. Uniquely, it covers both the domain-specific traditions and practices and the practices of the ?metadata movement' through a single lens ? that of resource description in the broadest, semantic web sense.This approach more readily accommodate

  1. Advancements in Large-Scale Data/Metadata Management for Scientific Data.

    Science.gov (United States)

    Guntupally, K.; Devarakonda, R.; Palanisamy, G.; Frame, M. T.

    2017-12-01

    Scientific data often comes with complex and diverse metadata which are critical for data discovery and users. The Online Metadata Editor (OME) tool, which was developed by an Oak Ridge National Laboratory team, effectively manages diverse scientific datasets across several federal data centers, such as DOE's Atmospheric Radiation Measurement (ARM) Data Center and USGS's Core Science Analytics, Synthesis, and Libraries (CSAS&L) project. This presentation will focus mainly on recent developments and future strategies for refining OME tool within these centers. The ARM OME is a standard based tool (https://www.archive.arm.gov/armome) that allows scientists to create and maintain metadata about their data products. The tool has been improved with new workflows that help metadata coordinators and submitting investigators to submit and review their data more efficiently. The ARM Data Center's newly upgraded Data Discovery Tool (http://www.archive.arm.gov/discovery) uses rich metadata generated by the OME to enable search and discovery of thousands of datasets, while also providing a citation generator and modern order-delivery techniques like Globus (using GridFTP), Dropbox and THREDDS. The Data Discovery Tool also supports incremental indexing, which allows users to find new data as and when they are added. The USGS CSAS&L search catalog employs a custom version of the OME (https://www1.usgs.gov/csas/ome), which has been upgraded with high-level Federal Geographic Data Committee (FGDC) validations and the ability to reserve and mint Digital Object Identifiers (DOIs). The USGS's Science Data Catalog (SDC) (https://data.usgs.gov/datacatalog) allows users to discover a myriad of science data holdings through a web portal. Recent major upgrades to the SDC and ARM Data Discovery Tool include improved harvesting performance and migration using new search software, such as Apache Solr 6.0 for serving up data/metadata to scientific communities. Our presentation will highlight

  2. Integrating meteorology into research on migration.

    Science.gov (United States)

    Shamoun-Baranes, Judy; Bouten, Willem; van Loon, E Emiel

    2010-09-01

    Atmospheric dynamics strongly influence the migration of flying organisms. They affect, among others, the onset, duration and cost of migration, migratory routes, stop-over decisions, and flight speeds en-route. Animals move through a heterogeneous environment and have to react to atmospheric dynamics at different spatial and temporal scales. Integrating meteorology into research on migration is not only challenging but it is also important, especially when trying to understand the variability of the various aspects of migratory behavior observed in nature. In this article, we give an overview of some different modeling approaches and we show how these have been incorporated into migration research. We provide a more detailed description of the development and application of two dynamic, individual-based models, one for waders and one for soaring migrants, as examples of how and why to integrate meteorology into research on migration. We use these models to help understand underlying mechanisms of individual response to atmospheric conditions en-route and to explain emergent patterns. This type of models can be used to study the impact of variability in atmospheric dynamics on migration along a migratory trajectory, between seasons and between years. We conclude by providing some basic guidelines to help researchers towards finding the right modeling approach and the meteorological data needed to integrate meteorology into their own research. © The Author 2010. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology. All rights reserved.

  3. Atlantic Oceanographic and Meteorological Laboratory

    Data.gov (United States)

    Federal Laboratory Consortium — The Atlantic Oceanographic and Meteorological Laboratory conducts research to understand the physical, chemical, and biological characteristics and processes of the...

  4. Metadata Laws, Journalism and Resistance in Australia

    Directory of Open Access Journals (Sweden)

    Benedetta Brevini

    2017-03-01

    Full Text Available The intelligence leaks from Edward Snowden in 2013 unveiled the sophistication and extent of data collection by the United States’ National Security Agency and major global digital firms prompting domestic and international debates about the balance between security and privacy, openness and enclosure, accountability and secrecy. It is difficult not to see a clear connection with the Snowden leaks in the sharp acceleration of new national security legislations in Australia, a long term member of the Five Eyes Alliance. In October 2015, the Australian federal government passed controversial laws that require telecommunications companies to retain the metadata of their customers for a period of two years. The new acts pose serious threats for the profession of journalism as they enable government agencies to easily identify and pursue journalists’ sources. Bulk data collections of this type of information deter future whistleblowers from approaching journalists, making the performance of the latter’s democratic role a challenge. After situating this debate within the scholarly literature at the intersection between surveillance studies and communication studies, this article discusses the political context in which journalists are operating and working in Australia; assesses how metadata laws have affected journalism practices and addresses the possibility for resistance.

  5. Metadata Access Tool for Climate and Health

    Science.gov (United States)

    Trtanji, J.

    2012-12-01

    The need for health information resources to support climate change adaptation and mitigation decisions is growing, both in the United States and around the world, as the manifestations of climate change become more evident and widespread. In many instances, these information resources are not specific to a changing climate, but have either been developed or are highly relevant for addressing health issues related to existing climate variability and weather extremes. To help address the need for more integrated data, the Interagency Cross-Cutting Group on Climate Change and Human Health, a working group of the U.S. Global Change Research Program, has developed the Metadata Access Tool for Climate and Health (MATCH). MATCH is a gateway to relevant information that can be used to solve problems at the nexus of climate science and public health by facilitating research, enabling scientific collaborations in a One Health approach, and promoting data stewardship that will enhance the quality and application of climate and health research. MATCH is a searchable clearinghouse of publicly available Federal metadata including monitoring and surveillance data sets, early warning systems, and tools for characterizing the health impacts of global climate change. Examples of relevant databases include the Centers for Disease Control and Prevention's Environmental Public Health Tracking System and NOAA's National Climate Data Center's national and state temperature and precipitation data. This presentation will introduce the audience to this new web-based geoportal and demonstrate its features and potential applications.

  6. Visual exploration of the attribute space of DANS EASY metadata

    NARCIS (Netherlands)

    ten Bosch, Olav; Scharnhorst, A.M.; Doorn, P.K.; Koning, Henk

    2012-01-01

    Study of the metadata of the Electronic Archiving System (EASY) of Data Archiving and Networked Services (DANS) for the purpose of getting insight in the internal structure of the collection. The visualization contains a dump of the EASY metadata set and all important data files that were generated

  7. Forensic devices for activism: Metadata tracking and public proof

    NARCIS (Netherlands)

    van der Velden, L.

    2015-01-01

    The central topic of this paper is a mobile phone application, ‘InformaCam’, which turns metadata from a surveillance risk into a method for the production of public proof. InformaCam allows one to manage and delete metadata from images and videos in order to diminish surveillance risks related to

  8. Metadata as a means for correspondence on digital media

    NARCIS (Netherlands)

    Stouffs, R.; Kooistra, J.; Tuncer, B.

    2004-01-01

    Metadata derive their action from their association to data and from the relationship they maintain with this data. An interpretation of this action is that the metadata lays claim to the data collection to which it is associated, where the claim is successful if the data collection gains quality as

  9. Shared Geospatial Metadata Repository for Ontario University Libraries: Collaborative Approaches

    Science.gov (United States)

    Forward, Erin; Leahey, Amber; Trimble, Leanne

    2015-01-01

    Successfully providing access to special collections of digital geospatial data in academic libraries relies upon complete and accurate metadata. Creating and maintaining metadata using specialized standards is a formidable challenge for libraries. The Ontario Council of University Libraries' Scholars GeoPortal project, which created a shared…

  10. Learning Object Metadata in a Web-Based Learning Environment

    NARCIS (Netherlands)

    Avgeriou, Paris; Koutoumanos, Anastasios; Retalis, Symeon; Papaspyrou, Nikolaos

    2000-01-01

    The plethora and variance of learning resources embedded in modern web-based learning environments require a mechanism to enable their structured administration. This goal can be achieved by defining metadata on them and constructing a system that manages the metadata in the context of the learning

  11. Developing Cyberinfrastructure Tools and Services for Metadata Quality Evaluation

    Science.gov (United States)

    Mecum, B.; Gordon, S.; Habermann, T.; Jones, M. B.; Leinfelder, B.; Powers, L. A.; Slaughter, P.

    2016-12-01

    Metadata and data quality are at the core of reusable and reproducible science. While great progress has been made over the years, much of the metadata collected only addresses data discovery, covering concepts such as titles and keywords. Improving metadata beyond the discoverability plateau means documenting detailed concepts within the data such as sampling protocols, instrumentation used, and variables measured. Given that metadata commonly do not describe their data at this level, how might we improve the state of things? Giving scientists and data managers easy to use tools to evaluate metadata quality that utilize community-driven recommendations is the key to producing high-quality metadata. To achieve this goal, we created a set of cyberinfrastructure tools and services that integrate with existing metadata and data curation workflows which can be used to improve metadata and data quality across the sciences. These tools work across metadata dialects (e.g., ISO19115, FGDC, EML, etc.) and can be used to assess aspects of quality beyond what is internal to the metadata such as the congruence between the metadata and the data it describes. The system makes use of a user-friendly mechanism for expressing a suite of checks as code in popular data science programming languages such as Python and R. This reduces the burden on scientists and data managers to learn yet another language. We demonstrated these services and tools in three ways. First, we evaluated a large corpus of datasets in the DataONE federation of data repositories against a metadata recommendation modeled after existing recommendations such as the LTER best practices and the Attribute Convention for Dataset Discovery (ACDD). Second, we showed how this service can be used to display metadata and data quality information to data producers during the data submission and metadata creation process, and to data consumers through data catalog search and access tools. Third, we showed how the centrally

  12. Making the Case for Embedded Metadata in Digital Images

    DEFF Research Database (Denmark)

    Smith, Kari R.; Saunders, Sarah; Kejser, U.B.

    2014-01-01

    exchange in heritage institutions and the culture sector. Our examples and findings support the case for embedded metadata in digital images and the opportunities for such use more broadly in non-heritage sectors as well. We encourage the adoption of embedded metadata by digital image content creators......This paper discusses the standards, methods, use cases, and opportunities for using embedded metadata in digital images. In this paper we explain the past and current work engaged with developing specifications, standards for embedding metadata of different types, and the practicalities of data...... and curators as well as those developing software and hardware that support the creation or re-use of digital images. We conclude that the usability of born digital images as well as physical objects that are digitized can be extended and the files preserved more readily with embedded metadata....

  13. Interpreting the ASTM 'content standard for digital geospatial metadata'

    Science.gov (United States)

    Nebert, Douglas D.

    1996-01-01

    ASTM and the Federal Geographic Data Committee have developed a content standard for spatial metadata to facilitate documentation, discovery, and retrieval of digital spatial data using vendor-independent terminology. Spatial metadata elements are identifiable quality and content characteristics of a data set that can be tied to a geographic location or area. Several Office of Management and Budget Circulars and initiatives have been issued that specify improved cataloguing of and accessibility to federal data holdings. An Executive Order further requires the use of the metadata content standard to document digital spatial data sets. Collection and reporting of spatial metadata for field investigations performed for the federal government is an anticipated requirement. This paper provides an overview of the draft spatial metadata content standard and a description of how the standard could be applied to investigations collecting spatially-referenced field data.

  14. EXIF Custom: Automatic image metadata extraction for Scratchpads and Drupal

    Directory of Open Access Journals (Sweden)

    Ed Baker

    2013-09-01

    Full Text Available Many institutions and individuals use embedded metadata to aid in the management of their image collections. Many deskop image management solutions such as Adobe Bridge and online tools such as Flickr also make use of embedded metadata to describe, categorise and license images. Until now Scratchpads (a data management system and virtual research environment for biodiversity  have not made use of these metadata, and users have had to manually re-enter this information if they have wanted to display it on their Scratchpad site. The Drupal described here allows users to map metadata embedded in their images to the associated field in the Scratchpads image form using one or more customised mappings. The module works seamlessly with the bulk image uploader used on Scratchpads and it is therefore possible to upload hundreds of images easily with automatic metadata (EXIF, XMP and IPTC extraction and mapping.

  15. Managing ebook metadata in academic libraries taming the tiger

    CERN Document Server

    Frederick, Donna E

    2016-01-01

    Managing ebook Metadata in Academic Libraries: Taming the Tiger tackles the topic of ebooks in academic libraries, a trend that has been welcomed by students, faculty, researchers, and library staff. However, at the same time, the reality of acquiring ebooks, making them discoverable, and managing them presents library staff with many new challenges. Traditional methods of cataloging and managing library resources are no longer relevant where the purchasing of ebooks in packages and demand driven acquisitions are the predominant models for acquiring new content. Most academic libraries have a complex metadata environment wherein multiple systems draw upon the same metadata for different purposes. This complexity makes the need for standards-based interoperable metadata more important than ever. In addition to complexity, the nature of the metadata environment itself typically varies slightly from library to library making it difficult to recommend a single set of practices and procedures which would be releva...

  16. Metafier - a Tool for Annotating and Structuring Building Metadata

    DEFF Research Database (Denmark)

    Holmegaard, Emil; Johansen, Aslak; Kjærgaard, Mikkel Baun

    2017-01-01

    , describing the instrumentation of the building. We have created Metafier, a tool for annotating and structuring metadata for buildings. Metafier optimizes the workflow of establishing metadata for buildings by enabling a human-in-the-loop to validate, search and group points. We have evaluated Metafier...... for two buildings, with different sizes, locations, ages and purposes. The evaluation was performed as a user test with three subjects with different backgrounds. The evaluation results indicates that the tool enabled the users to validate, search and group points while annotating metadata. One challenge...... is to get users to understand the concept of metadata for the tool to be useable. Based on our evaluation, we have listed guidelines for creating a tool for annotating building metadata....

  17. Department of the Interior metadata implementation guide—Framework for developing the metadata component for data resource management

    Science.gov (United States)

    Obuch, Raymond C.; Carlino, Jennifer; Zhang, Lin; Blythe, Jonathan; Dietrich, Christopher; Hawkinson, Christine

    2018-04-12

    The Department of the Interior (DOI) is a Federal agency with over 90,000 employees across 10 bureaus and 8 agency offices. Its primary mission is to protect and manage the Nation’s natural resources and cultural heritage; provide scientific and other information about those resources; and honor its trust responsibilities or special commitments to American Indians, Alaska Natives, and affiliated island communities. Data and information are critical in day-to-day operational decision making and scientific research. DOI is committed to creating, documenting, managing, and sharing high-quality data and metadata in and across its various programs that support its mission. Documenting data through metadata is essential in realizing the value of data as an enterprise asset. The completeness, consistency, and timeliness of metadata affect users’ ability to search for and discover the most relevant data for the intended purpose; and facilitates the interoperability and usability of these data among DOI bureaus and offices. Fully documented metadata describe data usability, quality, accuracy, provenance, and meaning.Across DOI, there are different maturity levels and phases of information and metadata management implementations. The Department has organized a committee consisting of bureau-level points-of-contacts to collaborate on the development of more consistent, standardized, and more effective metadata management practices and guidance to support this shared mission and the information needs of the Department. DOI’s metadata implementation plans establish key roles and responsibilities associated with metadata management processes, procedures, and a series of actions defined in three major metadata implementation phases including: (1) Getting started—Planning Phase, (2) Implementing and Maintaining Operational Metadata Management Phase, and (3) the Next Steps towards Improving Metadata Management Phase. DOI’s phased approach for metadata management addresses

  18. The XML Metadata Editor of GFZ Data Services

    Science.gov (United States)

    Ulbricht, Damian; Elger, Kirsten; Tesei, Telemaco; Trippanera, Daniele

    2017-04-01

    Following the FAIR data principles, research data should be Findable, Accessible, Interoperable and Reuseable. Publishing data under these principles requires to assign persistent identifiers to the data and to generate rich machine-actionable metadata. To increase the interoperability, metadata should include shared vocabularies and crosslink the newly published (meta)data and related material. However, structured metadata formats tend to be complex and are not intended to be generated by individual scientists. Software solutions are needed that support scientists in providing metadata describing their data. To facilitate data publication activities of 'GFZ Data Services', we programmed an XML metadata editor that assists scientists to create metadata in different schemata popular in the earth sciences (ISO19115, DIF, DataCite), while being at the same time usable by and understandable for scientists. Emphasis is placed on removing barriers, in particular the editor is publicly available on the internet without registration [1] and the scientists are not requested to provide information that may be generated automatically (e.g. the URL of a specific licence or the contact information of the metadata distributor). Metadata are stored in browser cookies and a copy can be saved to the local hard disk. To improve usability, form fields are translated into the scientific language, e.g. 'creators' of the DataCite schema are called 'authors'. To assist filling in the form, we make use of drop down menus for small vocabulary lists and offer a search facility for large thesauri. Explanations to form fields and definitions of vocabulary terms are provided in pop-up windows and a full documentation is available for download via the help menu. In addition, multiple geospatial references can be entered via an interactive mapping tool, which helps to minimize problems with different conventions to provide latitudes and longitudes. Currently, we are extending the metadata editor

  19. Taxonomic names, metadata, and the Semantic Web

    Directory of Open Access Journals (Sweden)

    Roderic D. M. Page

    2006-01-01

    Full Text Available Life Science Identifiers (LSIDs offer an attractive solution to the problem of globally unique identifiers for digital objects in biology. However, I suggest that in the context of taxonomic names, the most compelling benefit of adopting these identifiers comes from the metadata associated with each LSID. By using existing vocabularies wherever possible, and using a simple vocabulary for taxonomy-specific concepts we can quickly capture the essential information about a taxonomic name in the Resource Description Framework (RDF format. This opens up the prospect of using technologies developed for the Semantic Web to add ``taxonomic intelligence" to biodiversity databases. This essay explores some of these ideas in the context of providing a taxonomic framework for the phylogenetic database TreeBASE.

  20. Metadata specification in a dynamic geometry software

    Science.gov (United States)

    Radaković, Davorka; Herceg, Äńorde

    2017-07-01

    Attributes in C# are a mechanism that provides association of declarative information with C# code such as classes, types, methods, properties, namespaces etc. Once defined and associated with a program entity, an attribute can be queried at run time. However, the attributes have certain restrictions which limit their application to representing complex metadata necessary for development of dynamic geometry software (DGS). We have devised a solution, independent of attributes, which was developed to overcome the limitations, while maintaining the functionality of attributes. Our solution covers a wide range of uses, from providing extensibility to a functional programming language and declaring new data types and operations, to being a foundation for runtime optimizations of expression tree evaluation, and helpful user interface features, such as code completion.

  1. Evolution of the ATLAS Metadata Interface (AMI)

    CERN Document Server

    Odier, Jerome; The ATLAS collaboration; Fulachier, Jerome; Lambert, Fabian

    2015-01-01

    The ATLAS Metadata Interface (AMI) can be considered to be a mature application because it has existed for at least 10 years. Over the years, the number of users and the number of functions provided for these users has increased. It has been necessary to adapt the hardware infrastructure in a seamless way so that the Quality of Service remains high. We will describe the evolution of the application from the initial one, using single server with a MySQL backend database, to the current state, where we use a cluster of Virtual Machines on the French Tier 1 Cloud at Lyon, an ORACLE database backend also at Lyon, with replication to CERN using ORACLE streams behind a back-up server.

  2. Semantic Metadata for Heterogeneous Spatial Planning Documents

    Science.gov (United States)

    Iwaniak, A.; Kaczmarek, I.; Łukowicz, J.; Strzelecki, M.; Coetzee, S.; Paluszyński, W.

    2016-09-01

    Spatial planning documents contain information about the principles and rights of land use in different zones of a local authority. They are the basis for administrative decision making in support of sustainable development. In Poland these documents are published on the Web according to a prescribed non-extendable XML schema, designed for optimum presentation to humans in HTML web pages. There is no document standard, and limited functionality exists for adding references to external resources. The text in these documents is discoverable and searchable by general-purpose web search engines, but the semantics of the content cannot be discovered or queried. The spatial information in these documents is geographically referenced but not machine-readable. Major manual efforts are required to integrate such heterogeneous spatial planning documents from various local authorities for analysis, scenario planning and decision support. This article presents results of an implementation using machine-readable semantic metadata to identify relationships among regulations in the text, spatial objects in the drawings and links to external resources. A spatial planning ontology was used to annotate different sections of spatial planning documents with semantic metadata in the Resource Description Framework in Attributes (RDFa). The semantic interpretation of the content, links between document elements and links to external resources were embedded in XHTML pages. An example and use case from the spatial planning domain in Poland is presented to evaluate its efficiency and applicability. The solution enables the automated integration of spatial planning documents from multiple local authorities to assist decision makers with understanding and interpreting spatial planning information. The approach is equally applicable to legal documents from other countries and domains, such as cultural heritage and environmental management.

  3. Achieving interoperability for metadata registries using comparative object modeling.

    Science.gov (United States)

    Park, Yu Rang; Kim, Ju Han

    2010-01-01

    Achieving data interoperability between organizations relies upon agreed meaning and representation (metadata) of data. For managing and registering metadata, many organizations have built metadata registries (MDRs) in various domains based on international standard for MDR framework, ISO/IEC 11179. Following this trend, two pubic MDRs in biomedical domain have been created, United States Health Information Knowledgebase (USHIK) and cancer Data Standards Registry and Repository (caDSR), from U.S. Department of Health & Human Services and National Cancer Institute (NCI), respectively. Most MDRs are implemented with indiscriminate extending for satisfying organization-specific needs and solving semantic and structural limitation of ISO/IEC 11179. As a result it is difficult to address interoperability among multiple MDRs. In this paper, we propose an integrated metadata object model for achieving interoperability among multiple MDRs. To evaluate this model, we developed an XML Schema Definition (XSD)-based metadata exchange format. We created an XSD-based metadata exporter, supporting both the integrated metadata object model and organization-specific MDR formats.

  4. Design and Implementation of a Metadata-rich File System

    Energy Technology Data Exchange (ETDEWEB)

    Ames, S; Gokhale, M B; Maltzahn, C

    2010-01-19

    Despite continual improvements in the performance and reliability of large scale file systems, the management of user-defined file system metadata has changed little in the past decade. The mismatch between the size and complexity of large scale data stores and their ability to organize and query their metadata has led to a de facto standard in which raw data is stored in traditional file systems, while related, application-specific metadata is stored in relational databases. This separation of data and semantic metadata requires considerable effort to maintain consistency and can result in complex, slow, and inflexible system operation. To address these problems, we have developed the Quasar File System (QFS), a metadata-rich file system in which files, user-defined attributes, and file relationships are all first class objects. In contrast to hierarchical file systems and relational databases, QFS defines a graph data model composed of files and their relationships. QFS incorporates Quasar, an XPATH-extended query language for searching the file system. Results from our QFS prototype show the effectiveness of this approach. Compared to the de facto standard, the QFS prototype shows superior ingest performance and comparable query performance on user metadata-intensive operations and superior performance on normal file metadata operations.

  5. Metadata Creation, Management and Search System for your Scientific Data

    Science.gov (United States)

    Devarakonda, R.; Palanisamy, G.

    2012-12-01

    Mercury Search Systems is a set of tools for creating, searching, and retrieving of biogeochemical metadata. Mercury toolset provides orders of magnitude improvements in search speed, support for any metadata format, integration with Google Maps for spatial queries, multi-facetted type search, search suggestions, support for RSS (Really Simple Syndication) delivery of search results, and enhanced customization to meet the needs of the multiple projects that use Mercury. Mercury's metadata editor provides a easy way for creating metadata and Mercury's search interface provides a single portal to search for data and information contained in disparate data management systems, each of which may use any metadata format including FGDC, ISO-19115, Dublin-Core, Darwin-Core, DIF, ECHO, and EML. Mercury harvests metadata and key data from contributing project servers distributed around the world and builds a centralized index. The search interfaces then allow the users to perform a variety of fielded, spatial, and temporal searches across these metadata sources. This centralized repository of metadata with distributed data sources provides extremely fast search results to the user, while allowing data providers to advertise the availability of their data and maintain complete control and ownership of that data. Mercury is being used more than 14 different projects across 4 federal agencies. It was originally developed for NASA, with continuing development funded by NASA, USGS, and DOE for a consortium of projects. Mercury search won the NASA's Earth Science Data Systems Software Reuse Award in 2008. References: R. Devarakonda, G. Palanisamy, B.E. Wilson, and J.M. Green, "Mercury: reusable metadata management data discovery and access system", Earth Science Informatics, vol. 3, no. 1, pp. 87-94, May 2010. R. Devarakonda, G. Palanisamy, J.M. Green, B.E. Wilson, "Data sharing and retrieval using OAI-PMH", Earth Science Informatics DOI: 10.1007/s12145-010-0073-0, (2010);

  6. Populating and harvesting metadata in a virtual observatory

    Science.gov (United States)

    Walker, Raymond; King, Todd; Joy, Steven; Bargatze, Lee; Chi, Peter; Weygand, James

    Founded in 2007 the Virtual Magnetospheric Observatory (VMO) provides one stop shopping for data and services useful in magnetospheric research. The VMO's purview includes ground based observations as well as observations from spacecraft. The data and services for using and analyzing these data are found at laboratories distributed around the world. The VMO is itself a federated data system with branches at UCLA and the Goddard Space Flight Center (GSFC). These data can be connected by using a common data model. The VMO has selected the Space Physics Archive Search and Extract (SPASE) metadata standard for this purpose. SPASE metadata are collected and stored in distributed registries that are maintained along with the data at the location of the data provider. Populating the registries and extracting the metadata requested for a given study remain major challenges. In general there is little or no money available to data providers to create the metadata and populate the registries. We have taken a two pronged approach to minimize the effort required to create the metadata and maintain the registries. First part of the approach is human. We have appointed a group of domain experts called "X-Men". X-Men are expert in both magnetospheric physics and data management. They work closely with data providers to help them prepare the metadata and populate the registries. The second part of our approach is to develop a series of tools to populate and harvest information from the registries. We have developed SPASE editors for high level metadata and adopted the NASA Planetary Data System's Rule Set approach in which the science data are used to generate detailed level SPASE metadata. Finally we have developed a unique harvesting system to retrieve metadata from distributed registries in response to user queries.

  7. The meteorological data acquisition system

    International Nuclear Information System (INIS)

    Bouharrour, S.; Thomas, P.

    1975-07-01

    The 200 m meteorological tower of the Karlsruhe Nuclear Research Center has been equipped with 45 instruments measuring the meteorological parameters near the ground level. Frequent inquiry of the instruments implies data acquisition with on-line data reduction. This task is fulfilled by some peripheral units controlled by a PDP-8/I. This report presents details of the hardware configuration and a short description of the software configuration of the meteorological data acquisition system. The report also serves as an instruction for maintenance and repair work to be carried out at the system. (orig.) [de

  8. Large-Scale Data Collection Metadata Management at the National Computation Infrastructure

    Science.gov (United States)

    Wang, J.; Evans, B. J. K.; Bastrakova, I.; Ryder, G.; Martin, J.; Duursma, D.; Gohar, K.; Mackey, T.; Paget, M.; Siddeswara, G.

    2014-12-01

    Data Collection management has become an essential activity at the National Computation Infrastructure (NCI) in Australia. NCI's partners (CSIRO, Bureau of Meteorology, Australian National University, and Geoscience Australia), supported by the Australian Government and Research Data Storage Infrastructure (RDSI), have established a national data resource that is co-located with high-performance computing. This paper addresses the metadata management of these data assets over their lifetime. NCI manages 36 data collections (10+ PB) categorised as earth system sciences, climate and weather model data assets and products, earth and marine observations and products, geosciences, terrestrial ecosystem, water management and hydrology, astronomy, social science and biosciences. The data is largely sourced from NCI partners, the custodians of many of the national scientific records, and major research community organisations. The data is made available in a HPC and data-intensive environment - a ~56000 core supercomputer, virtual labs on a 3000 core cloud system, and data services. By assembling these large national assets, new opportunities have arisen to harmonise the data collections, making a powerful cross-disciplinary resource.To support the overall management, a Data Management Plan (DMP) has been developed to record the workflows, procedures, the key contacts and responsibilities. The DMP has fields that can be exported to the ISO19115 schema and to the collection level catalogue of GeoNetwork. The subset or file level metadata catalogues are linked with the collection level through parent-child relationship definition using UUID. A number of tools have been developed that support interactive metadata management, bulk loading of data, and support for computational workflows or data pipelines. NCI creates persistent identifiers for each of the assets. The data collection is tracked over its lifetime, and the recognition of the data providers, data owners, data

  9. Defense Meteorological Satellite Program (DMSP)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Defense Meteorological Satellite Program (DMSP) satellites collect visible and infrared cloud imagery as well as monitoring the atmospheric, oceanographic,...

  10. Meteorological Processors and Accessory Programs

    Science.gov (United States)

    Surface and upper air data, provided by NWS, are important inputs for air quality models. Before these data are used in some of the EPA dispersion models, meteorological processors are used to manipulate the data.

  11. Mathematical problems in meteorological modelling

    CERN Document Server

    Csomós, Petra; Faragó, István; Horányi, András; Szépszó, Gabriella

    2016-01-01

    This book deals with mathematical problems arising in the context of meteorological modelling. It gathers and presents some of the most interesting and important issues from the interaction of mathematics and meteorology. It is unique in that it features contributions on topics like data assimilation, ensemble prediction, numerical methods, and transport modelling, from both mathematical and meteorological perspectives. The derivation and solution of all kinds of numerical prediction models require the application of results from various mathematical fields. The present volume is divided into three parts, moving from mathematical and numerical problems through air quality modelling, to advanced applications in data assimilation and probabilistic forecasting. The book arose from the workshop “Mathematical Problems in Meteorological Modelling” held in Budapest in May 2014 and organized by the ECMI Special Interest Group on Numerical Weather Prediction. Its main objective is to highlight the beauty of the de...

  12. Mathematics and Meteorology: Perfect Partners.

    Science.gov (United States)

    Bomeli, Cynthia L.

    1991-01-01

    The integration of science and mathematics in the middle school using the topic of meteorology is discussed. Seven selected activities for this approach are suggested. Lists of materials and resources for use in this teaching approach are appended. (CW)

  13. The many facets of integrating data and metadata for research networks: experience from the AmeriFlux Network

    Science.gov (United States)

    Pastorello, G.; Poindexter, C.; van Ingen, C.; Papale, D.; Agarwal, D.

    2014-12-01

    Grassroots research networks, such as AmeriFlux, require data and metadata integration from multiple, independently managed field sites, scales, and science domains. The goal of these networks is production of consistent datasets enabling investigation of broad science questions at regional and global scales. These datasets combine data from a large number of data providers, who often utilize different data collection protocols and data processing approaches. In this scenario, data integration and curation quickly become large-scale efforts. This presentation reports on our experience with integration efforts for the AmeriFlux network. In AmeriFlux we are attempting to integrate flux, meteorological, biological, soil, chemistry, and disturbance data and metadata. Our data management activities range from acquisition/publication mechanisms, quality control, processing and product generation, data and software synchronized versioning and archiving, and interaction mechanisms and tools for data providers and data users. To enable consistent data processing and network-level data quality, combinations of automated and visual data quality assessment procedures were built, extending on checks already done at site levels. The implementation of community developed and trusted algorithms to operate in production mode proved to be a key aspect of data product generation, with extensive testing and validation being one of the main concerns. Clear definitions for data processing levels help with easily tracking different data products and data quality levels. For metadata and ancillary information, formatting standards are even more relevant, since variables collected are considerably more heterogeneous. Documentation and training on the standards were crucial in this case, with instruction sessions having proved to be an effective approach, given that documentation cannot cover all different scenarios at different sites. This work is being developed in close coordination with

  14. Metadata and Service at the GFZ ISDC Portal

    Science.gov (United States)

    Ritschel, B.

    2008-05-01

    The online service portal of the GFZ Potsdam Information System and Data Center (ISDC) is an access point for all manner of geoscientific geodata, its corresponding metadata, scientific documentation and software tools. At present almost 2000 national and international users and user groups have the opportunity to request Earth science data from a portfolio of 275 different products types and more than 20 Million single data files with an added volume of approximately 12 TByte. The majority of the data and information, the portal currently offers to the public, are global geomonitoring products such as satellite orbit and Earth gravity field data as well as geomagnetic and atmospheric data for the exploration. These products for Earths changing system are provided via state-of-the art retrieval techniques. The data product catalog system behind these techniques is based on the extensive usage of standardized metadata, which are describing the different geoscientific product types and data products in an uniform way. Where as all ISDC product types are specified by NASA's Directory Interchange Format (DIF), Version 9.0 Parent XML DIF metadata files, the individual data files are described by extended DIF metadata documents. Depending on the beginning of the scientific project, one part of data files are described by extended DIF, Version 6 metadata documents and the other part are specified by data Child XML DIF metadata documents. Both, the product type dependent parent DIF metadata documents and the data file dependent child DIF metadata documents are derived from a base-DIF.xsd xml schema file. The ISDC metadata philosophy defines a geoscientific product as a package consisting of mostly one or sometimes more than one data file plus one extended DIF metadata file. Because NASA's DIF metadata standard has been developed in order to specify a collection of data only, the extension of the DIF standard consists of new and specific attributes, which are necessary for

  15. Toward element-level interoperability in bibliographic metadata

    Directory of Open Access Journals (Sweden)

    Eric Childress

    2008-03-01

    Full Text Available This paper discusses an approach and set of tools for translating bibliographic metadata from one format to another. A computational model is proposed to formalize the notion of a 'crosswalk'. The translation process separates semantics from syntax, and specifies a crosswalk as machine executable translation files which are focused on assertions of element equivalence and are closely associated with the underlying intellectual analysis of metadata translation. A data model developed by the authors called Morfrom serves as an internal generic metadata format. Translation logic is written in an XML scripting language designed by the authors called the Semantic Equivalence Expression Language (Seel. These techniques have been built into an OCLC software toolkit to manage large and diverse collections of metadata records, called the Crosswalk Web Service.

  16. Requirements for multimedia metadata schemes in surveillance applications for security

    NARCIS (Netherlands)

    Rest, J.H.C. van; Grootjen, F.A.; Grootjen, M.; Wijn, R.; Aarts, O.A.J.; Roelofs, M.L.; Burghouts, G.J.; Bouma, H.; Alic, L.; Kraaij, W.

    2013-01-01

    Surveillance for security requires communication between systems and humans, involves behavioural and multimedia research, and demands an objective benchmarking for the performance of system components.Metadata representation schemes are extremely important to facilitate (system) interoperability

  17. Ontology-based Metadata Portal for Unified Semantics

    Data.gov (United States)

    National Aeronautics and Space Administration — The Ontology-based Metadata Portal for Unified Semantics (OlyMPUS) will extend the prototype Ontology-Driven Interactive Search Environment for Earth Sciences...

  18. Large geospatial images discovery: metadata model and technological framework

    Directory of Open Access Journals (Sweden)

    Lukáš Brůha

    2015-12-01

    Full Text Available The advancements in geospatial web technology triggered efforts for disclosure of valuable resources of historical collections. This paper focuses on the role of spatial data infrastructures (SDI in such efforts. The work describes the interplay between SDI technologies and potential use cases in libraries such as cartographic heritage. The metadata model is introduced to link up the sources from these two distinct fields. To enhance the data search capabilities, the work focuses on the representation of the content-based metadata of raster images, which is the crucial prerequisite to target the search in a more effective way. The architecture of the prototype system for automatic raster data processing, storage, analysis and distribution is introduced. The architecture responds to the characteristics of input datasets, namely to the continuous flow of very large raster data and related metadata. Proposed solutions are illustrated on the case study of cartometric analysis of digitised early maps and related metadata encoding.

  19. Distributed metadata in a high performance computing environment

    Science.gov (United States)

    Bent, John M.; Faibish, Sorin; Zhang, Zhenhua; Liu, Xuezhao; Tang, Haiying

    2017-07-11

    A computer-executable method, system, and computer program product for managing meta-data in a distributed storage system, wherein the distributed storage system includes one or more burst buffers enabled to operate with a distributed key-value store, the co computer-executable method, system, and computer program product comprising receiving a request for meta-data associated with a block of data stored in a first burst buffer of the one or more burst buffers in the distributed storage system, wherein the meta data is associated with a key-value, determining which of the one or more burst buffers stores the requested metadata, and upon determination that a first burst buffer of the one or more burst buffers stores the requested metadata, locating the key-value in a portion of the distributed key-value store accessible from the first burst buffer.

  20. Metadata and Metacognition: How can we stimulate reflection for learning?

    NARCIS (Netherlands)

    Specht, Marcus

    2012-01-01

    Specht, M. (2012, 12 September). Metadata and Metacognition: How can we stimulate reflection for learning? Invited presentation given at the seminar on awareness and reflection in learning at the University of Leuven, Leuven, Belgium.

  1. USGS 24k Digital Raster Graphic (DRG) Metadata

    Data.gov (United States)

    Minnesota Department of Natural Resources — Metadata for the scanned USGS 24k Topograpic Map Series (also known as 24k Digital Raster Graphic). Each scanned map is represented by a polygon in the layer and the...

  2. Assessing measurement uncertainty in meteorology in urban environments

    Science.gov (United States)

    Curci, S.; Lavecchia, C.; Frustaci, G.; Paolini, R.; Pilati, S.; Paganelli, C.

    2017-10-01

    Measurement uncertainty in meteorology has been addressed in a number of recent projects. In urban environments, uncertainty is also affected by local effects which are more difficult to deal with than for synoptic stations. In Italy, beginning in 2010, an urban meteorological network (Climate Network®) was designed, set up and managed at national level according to high metrological standards and homogeneity criteria to support energy applications. The availability of such a high-quality operative automatic weather station network represents an opportunity to investigate the effects of station siting and sensor exposure and to estimate the related measurement uncertainty. An extended metadata set was established for the stations in Milan, including siting and exposure details. Statistical analysis on an almost 3-year-long operational period assessed network homogeneity, quality and reliability. Deviations from reference mean values were then evaluated in selected low-gradient local weather situations in order to investigate siting and exposure effects. In this paper the methodology is depicted and preliminary results of its application to air temperature discussed; this allowed the setting of an upper limit of 1 °C for the added measurement uncertainty at the top of the urban canopy layer.

  3. Assigning creative commons licenses to research metadata: issues and cases

    OpenAIRE

    Poblet, Marta

    2016-01-01

    This paper discusses the problem of lack of clear licensing and transparency of usage terms and conditions for research metadata. Making research data connected, discoverable and reusable are the key enablers of the new data revolution in research. We discuss how the lack of transparency hinders discovery of research data and make it disconnected from the publication and other trusted research outcomes. In addition, we discuss the application of Creative Commons licenses for research metadata...

  4. Massive Meta-Data: A New Data Mining Resource

    Science.gov (United States)

    Hugo, W.

    2012-04-01

    Worldwide standardisation, and interoperability initiatives such as GBIF, Open Access and GEOSS (to name but three of many) have led to the emergence of interlinked and overlapping meta-data repositories containing, potentially, tens of millions of entries collectively. This forms the backbone of an emerging global scientific data infrastructure that is both driven by changes in the way we work, and opens up new possibilities in management, research, and collaboration. Several initiatives are concentrated on building a generalised, shared, easily available, scalable, and indefinitely preserved scientific data infrastructure to aid future scientific work. This paper deals with the parallel aspect of the meta-data that will be used to support the global scientific data infrastructure. There are obvious practical issues (semantic interoperability and speed of discovery being the most important), but we are here more concerned with some of the less obvious conceptual questions and opportunities: 1. Can we use meta-data to assess, pinpoint, and reduce duplication of meta-data? 2. Can we use it to reduce overlaps of mandates in data portals, research collaborations, and research networks? 3. What possibilities exist for mining the relationships that exist implicitly in very large meta-data collections? 4. Is it possible to define an explicit 'scientific data infrastructure' as a complex, multi-relational network database, that can become self-maintaining and self-organising in true Web 2.0 and 'social networking' fashion? The paper provides a blueprint for a new approach to massive meta-data collections, and how this can be processed using established analysis techniques to answer the questions posed. It assesses the practical implications of working with standard meta-data definitions (such as ISO 19115, Dublin Core, and EML) in a meta-data mining context, and makes recommendations in respect of extension to support self-organising, semantically oriented 'networks of

  5. A Metadata Schema for Geospatial Resource Discovery Use Cases

    Directory of Open Access Journals (Sweden)

    Darren Hardy

    2014-07-01

    Full Text Available We introduce a metadata schema that focuses on GIS discovery use cases for patrons in a research library setting. Text search, faceted refinement, and spatial search and relevancy are among GeoBlacklight's primary use cases for federated geospatial holdings. The schema supports a variety of GIS data types and enables contextual, collection-oriented discovery applications as well as traditional portal applications. One key limitation of GIS resource discovery is the general lack of normative metadata practices, which has led to a proliferation of metadata schemas and duplicate records. The ISO 19115/19139 and FGDC standards specify metadata formats, but are intricate, lengthy, and not focused on discovery. Moreover, they require sophisticated authoring environments and cataloging expertise. Geographic metadata standards target preservation and quality measure use cases, but they do not provide for simple inter-institutional sharing of metadata for discovery use cases. To this end, our schema reuses elements from Dublin Core and GeoRSS to leverage their normative semantics, community best practices, open-source software implementations, and extensive examples already deployed in discovery contexts such as web search and mapping. Finally, we discuss a Solr implementation of the schema using a "geo" extension to MODS.

  6. Using Metadata to Build Geographic Information Sharing Environment on Internet

    Directory of Open Access Journals (Sweden)

    Chih-hong Sun

    1999-12-01

    Full Text Available Internet provides a convenient environment to share geographic information. Web GIS (Geographic Information System even provides users a direct access environment to geographic databases through Internet. However, the complexity of geographic data makes it difficult for users to understand the real content and the limitation of geographic information. In some cases, users may misuse the geographic data and make wrong decisions. Meanwhile, geographic data are distributed across various government agencies, academic institutes, and private organizations, which make it even more difficult for users to fully understand the content of these complex data. To overcome these difficulties, this research uses metadata as a guiding mechanism for users to fully understand the content and the limitation of geographic data. We introduce three metadata standards commonly used for geographic data and metadata authoring tools available in the US. We also review the current development of geographic metadata standard in Taiwan. Two metadata authoring tools are developed in this research, which will enable users to build their own geographic metadata easily.[Article content in Chinese

  7. Forensic devices for activism: Metadata tracking and public proof

    Directory of Open Access Journals (Sweden)

    Lonneke van der Velden

    2015-10-01

    Full Text Available The central topic of this paper is a mobile phone application, ‘InformaCam’, which turns metadata from a surveillance risk into a method for the production of public proof. InformaCam allows one to manage and delete metadata from images and videos in order to diminish surveillance risks related to online tracking. Furthermore, it structures and stores the metadata in such a way that the documentary material becomes better accommodated to evidentiary settings, if needed. In this paper I propose InformaCam should be interpreted as a ‘forensic device’. By using the conceptualization of forensics and work on socio-technical devices the paper discusses how InformaCam, through a range of interventions, rearranges metadata into a technology of evidence. InformaCam explicitly recognizes mobile phones as context aware, uses their sensors, and structures metadata in order to facilitate data analysis after images are captured. Through these modifications it invents a form of ‘sensory data forensics'. By treating data in this particular way, surveillance resistance does more than seeking awareness. It becomes engaged with investigatory practices. Considering the extent by which states conduct metadata surveillance, the project can be seen as a timely response to the unequal distribution of power over data.

  8. Evolving Metadata in NASA Earth Science Data Systems

    Science.gov (United States)

    Mitchell, A.; Cechini, M. F.; Walter, J.

    2011-12-01

    NASA's Earth Observing System (EOS) is a coordinated series of satellites for long term global observations. NASA's Earth Observing System Data and Information System (EOSDIS) is a petabyte-scale archive of environmental data that supports global climate change research by providing end-to-end services from EOS instrument data collection to science data processing to full access to EOS and other earth science data. On a daily basis, the EOSDIS ingests, processes, archives and distributes over 3 terabytes of data from NASA's Earth Science missions representing over 3500 data products ranging from various types of science disciplines. EOSDIS is currently comprised of 12 discipline specific data centers that are collocated with centers of science discipline expertise. Metadata is used in all aspects of NASA's Earth Science data lifecycle from the initial measurement gathering to the accessing of data products. Missions use metadata in their science data products when describing information such as the instrument/sensor, operational plan, and geographically region. Acting as the curator of the data products, data centers employ metadata for preservation, access and manipulation of data. EOSDIS provides a centralized metadata repository called the Earth Observing System (EOS) ClearingHouse (ECHO) for data discovery and access via a service-oriented-architecture (SOA) between data centers and science data users. ECHO receives inventory metadata from data centers who generate metadata files that complies with the ECHO Metadata Model. NASA's Earth Science Data and Information System (ESDIS) Project established a Tiger Team to study and make recommendations regarding the adoption of the international metadata standard ISO 19115 in EOSDIS. The result was a technical report recommending an evolution of NASA data systems towards a consistent application of ISO 19115 and related standards including the creation of a NASA-specific convention for core ISO 19115 elements. Part of

  9. Automated metadata--final project report

    Energy Technology Data Exchange (ETDEWEB)

    Schissel, David [General Atomics, San Diego, CA (United States)

    2016-04-01

    This report summarizes the work of the Automated Metadata, Provenance Cataloging, and Navigable Interfaces: Ensuring the Usefulness of Extreme-Scale Data Project (MPO Project) funded by the United States Department of Energy (DOE), Offices of Advanced Scientific Computing Research and Fusion Energy Sciences. Initially funded for three years starting in 2012, it was extended for 6 months with additional funding. The project was a collaboration between scientists at General Atomics, Lawrence Berkley National Laboratory (LBNL), and Massachusetts Institute of Technology (MIT). The group leveraged existing computer science technology where possible, and extended or created new capabilities where required. The MPO project was able to successfully create a suite of software tools that can be used by a scientific community to automatically document their scientific workflows. These tools were integrated into workflows for fusion energy and climate research illustrating the general applicability of the project’s toolkit. Feedback was very positive on the project’s toolkit and the value of such automatic workflow documentation to the scientific endeavor.

  10. Automated metadata--final project report

    International Nuclear Information System (INIS)

    Schissel, David

    2016-01-01

    This report summarizes the work of the Automated Metadata, Provenance Cataloging, and Navigable Interfaces: Ensuring the Usefulness of Extreme-Scale Data Project (MPO Project) funded by the United States Department of Energy (DOE), Offices of Advanced Scientific Computing Research and Fusion Energy Sciences. Initially funded for three years starting in 2012, it was extended for 6 months with additional funding. The project was a collaboration between scientists at General Atomics, Lawrence Berkley National Laboratory (LBNL), and Massachusetts Institute of Technology (MIT). The group leveraged existing computer science technology where possible, and extended or created new capabilities where required. The MPO project was able to successfully create a suite of software tools that can be used by a scientific community to automatically document their scientific workflows. These tools were integrated into workflows for fusion energy and climate research illustrating the general applicability of the project's toolkit. Feedback was very positive on the project's toolkit and the value of such automatic workflow documentation to the scientific endeavor.

  11. Better Living Through Metadata: Examining Archive Usage

    Science.gov (United States)

    Becker, G.; Winkelman, S.; Rots, A.

    2013-10-01

    The primary purpose of an observatory's archive is to provide access to the data through various interfaces. User interactions with the archive are recorded in server logs, which can be used to answer basic questions like: Who has downloaded dataset X? When did she do this? Which tools did she use? The answers to questions like these fill in patterns of data access (e.g., how many times dataset X has been downloaded in the past three years). Analysis of server logs provides metrics of archive usage and provides feedback on interface use which can be used to guide future interface development. The Chandra X-ray Observatory is fortunate in that a database to track data access and downloads has been continuously recording such transactions for years; however, it is overdue for an update. We will detail changes we hope to effect and the differences the changes may make to our usage metadata picture. We plan to gather more information about the geographic location of users without compromising privacy; create improved archive statistics; and track and assess the impact of web “crawlers” and other scripted access methods on the archive. With the improvements to our download tracking we hope to gain a better understanding of the dissemination of Chandra's data; how effectively it is being done; and perhaps discover ideas for new services.

  12. Educational Rationale Metadata for Learning Objects

    Directory of Open Access Journals (Sweden)

    Tom Carey

    2002-10-01

    Full Text Available Instructors searching for learning objects in online repositories will be guided in their choices by the content of the object, the characteristics of the learners addressed, and the learning process embodied in the object. We report here on a feasibility study for metadata to record process-oriented information about instructional approaches for learning objects, though a set of Educational Rationale [ER] tags which would allow authors to describe the critical elements in their design intent. The prototype ER tags describe activities which have been demonstrated to be of value in learning, and authors select the activities whose support was critical in their design decisions. The prototype ER tag set consists descriptors of the instructional approach used in the design, plus optional sub-elements for Comments, Importance and Features which implement the design intent. The tag set was tested by creators of four learning object modules, three intended for post-secondary learners and one for K-12 students and their families. In each case the creators reported that the ER tag set allowed them to express succinctly the key instructional approaches embedded in their designs. These results confirmed the overall feasibility of the ER tag approach as a means of capturing design intent from creators of learning objects. Much work remains to be done before a usable ER tag set could be specified, including evaluating the impact of ER tags during design to improve instructional quality of learning objects.

  13. Classifying urban meteorological stations sites by 'local climate zones': Preliminary results for the city of Novi Sad (Serbia

    Directory of Open Access Journals (Sweden)

    Savić Stevan

    2013-01-01

    Full Text Available Conventional approach in the investigation of urban climate of Novi Sad has been done through simple urban-rural air temperature differences. These inter-urban air temperature differences showed how much is city warmer than its surroundings, so-called urban heat island (UHI effect. Temperature differences exist inside the city as well. To get to know the intensity of these intra-urban temperature differences, installation of meteorological stations in different parts of the city or mobile measurements are needed. In 2012 started IPA HUSRB project made by Department of Climatology and Landscape Ecology (University of Szeged and Faculty of Sciences (University of Novi Sad. The main goal of this project is the development and installation of wireless urban meteorological network (temperature and relative humidity sensors in Szeged and Novi Sad. Before the deployment of sensors, necessary metadata about each potential urban meteorological station site needs to be collected. Field work, collected metadata and Stewart and Oke climate-based classification system from 2012 were used for defining the potential urban meteorological stations sites on the territory of the city of Novi Sad (Serbia and its surroundings.

  14. High-resolution urban observation network for user-specific meteorological information service in the Seoul Metropolitan Area, South Korea

    Science.gov (United States)

    Park, Moon-Soo; Park, Sung-Hwa; Chae, Jung-Hoon; Choi, Min-Hyeok; Song, Yunyoung; Kang, Minsoo; Roh, Joon-Woo

    2017-04-01

    To improve our knowledge of urban meteorology, including those processes applicable to high-resolution meteorological models in the Seoul Metropolitan Area (SMA), the Weather Information Service Engine (WISE) Urban Meteorological Observation System (UMS-Seoul) has been designed and installed. The UMS-Seoul incorporates 14 surface energy balance (EB) systems, 7 surface-based three-dimensional (3-D) meteorological observation systems and applied meteorological (AP) observation systems, and the existing surface-based meteorological observation network. The EB system consists of a radiation balance system, sonic anemometers, infrared CO2/H2O gas analyzers, and many sensors measuring the wind speed and direction, temperature and humidity, precipitation, and air pressure. The EB-produced radiation, meteorological, and turbulence data will be used to quantify the surface EB according to land use and to improve the boundary-layer and surface processes in meteorological models. The 3-D system, composed of a wind lidar, microwave radiometer, aerosol lidar, or ceilometer, produces the cloud height, vertical profiles of backscatter by aerosols, wind speed and direction, temperature, humidity, and liquid water content. It will be used for high-resolution reanalysis data based on observations and for the improvement of the boundary-layer, radiation, and microphysics processes in meteorological models. The AP system includes road weather information, mosquito activity, water quality, and agrometeorological observation instruments. The standardized metadata for networks and stations are documented and renewed periodically to provide a detailed observation environment. The UMS-Seoul data are designed to support real-time acquisition and display and automatically quality check within 10 min from observation. After the quality check, data can be distributed to relevant potential users such as researchers and policy makers. Finally, two case studies demonstrate that the observed data

  15. Meteorological tracers in regional planning

    International Nuclear Information System (INIS)

    Mueller, K.H.

    1974-11-01

    Atmospheric tracers can be used as indicators to study both the ventilation of an urban region and its dispersion meteorology for air pollutants. A correlation analysis applied to the space-time dependent tracer concentrations is able to give transfer functions, the structure and characteristic parameters of which describe the meteorological and topographical situation of the urban region and its surroundings in an integral manner. To reduce the number of persons usually involved in a tracer experiment an automatic air sampling system had to be developed

  16. Using XML to encode TMA DES metadata.

    Science.gov (United States)

    Lyttleton, Oliver; Wright, Alexander; Treanor, Darren; Lewis, Paul

    2011-01-01

    The Tissue Microarray Data Exchange Specification (TMA DES) is an XML specification for encoding TMA experiment data. While TMA DES data is encoded in XML, the files that describe its syntax, structure, and semantics are not. The DTD format is used to describe the syntax and structure of TMA DES, and the ISO 11179 format is used to define the semantics of TMA DES. However, XML Schema can be used in place of DTDs, and another XML encoded format, RDF, can be used in place of ISO 11179. Encoding all TMA DES data and metadata in XML would simplify the development and usage of programs which validate and parse TMA DES data. XML Schema has advantages over DTDs such as support for data types, and a more powerful means of specifying constraints on data values. An advantage of RDF encoded in XML over ISO 11179 is that XML defines rules for encoding data, whereas ISO 11179 does not. We created an XML Schema version of the TMA DES DTD. We wrote a program that converted ISO 11179 definitions to RDF encoded in XML, and used it to convert the TMA DES ISO 11179 definitions to RDF. We validated a sample TMA DES XML file that was supplied with the publication that originally specified TMA DES using our XML Schema. We successfully validated the RDF produced by our ISO 11179 converter with the W3C RDF validation service. All TMA DES data could be encoded using XML, which simplifies its processing. XML Schema allows datatypes and valid value ranges to be specified for CDEs, which enables a wider range of error checking to be performed using XML Schemas than could be performed using DTDs.

  17. Using XML to encode TMA DES metadata

    Directory of Open Access Journals (Sweden)

    Oliver Lyttleton

    2011-01-01

    Full Text Available Background: The Tissue Microarray Data Exchange Specification (TMA DES is an XML specification for encoding TMA experiment data. While TMA DES data is encoded in XML, the files that describe its syntax, structure, and semantics are not. The DTD format is used to describe the syntax and structure of TMA DES, and the ISO 11179 format is used to define the semantics of TMA DES. However, XML Schema can be used in place of DTDs, and another XML encoded format, RDF, can be used in place of ISO 11179. Encoding all TMA DES data and metadata in XML would simplify the development and usage of programs which validate and parse TMA DES data. XML Schema has advantages over DTDs such as support for data types, and a more powerful means of specifying constraints on data values. An advantage of RDF encoded in XML over ISO 11179 is that XML defines rules for encoding data, whereas ISO 11179 does not. Materials and Methods: We created an XML Schema version of the TMA DES DTD. We wrote a program that converted ISO 11179 definitions to RDF encoded in XML, and used it to convert the TMA DES ISO 11179 definitions to RDF. Results: We validated a sample TMA DES XML file that was supplied with the publication that originally specified TMA DES using our XML Schema. We successfully validated the RDF produced by our ISO 11179 converter with the W3C RDF validation service. Conclusions: All TMA DES data could be encoded using XML, which simplifies its processing. XML Schema allows datatypes and valid value ranges to be specified for CDEs, which enables a wider range of error checking to be performed using XML Schemas than could be performed using DTDs.

  18. Mercury- Distributed Metadata Management, Data Discovery and Access System

    Science.gov (United States)

    Palanisamy, Giri; Wilson, Bruce E.; Devarakonda, Ranjeet; Green, James M.

    2007-12-01

    Mercury is a federated metadata harvesting, search and retrieval tool based on both open source and ORNL- developed software. It was originally developed for NASA, and the Mercury development consortium now includes funding from NASA, USGS, and DOE. Mercury supports various metadata standards including XML, Z39.50, FGDC, Dublin-Core, Darwin-Core, EML, and ISO-19115 (under development). Mercury provides a single portal to information contained in disparate data management systems. It collects metadata and key data from contributing project servers distributed around the world and builds a centralized index. The Mercury search interfaces then allow the users to perform simple, fielded, spatial and temporal searches across these metadata sources. This centralized repository of metadata with distributed data sources provides extremely fast search results to the user, while allowing data providers to advertise the availability of their data and maintain complete control and ownership of that data. Mercury supports various projects including: ORNL DAAC, NBII, DADDI, LBA, NARSTO, CDIAC, OCEAN, I3N, IAI, ESIP and ARM. The new Mercury system is based on a Service Oriented Architecture and supports various services such as Thesaurus Service, Gazetteer Web Service and UDDI Directory Services. This system also provides various search services including: RSS, Geo-RSS, OpenSearch, Web Services and Portlets. Other features include: Filtering and dynamic sorting of search results, book-markable search results, save, retrieve, and modify search criteria.

  19. CyberSKA Radio Imaging Metadata and VO Compliance Engineering

    Science.gov (United States)

    Anderson, K. R.; Rosolowsky, E.; Dowler, P.

    2013-10-01

    The CyberSKA project has written a specification for the metadata encapsulation of radio astronomy data products pursuant to insertion into the VO-compliant Common Archive Observation Model (CAOM) database hosted by the Canadian Astronomy Data Centre (CADC). This specification accommodates radio FITS Image and UV Visibility data, as well as pure CASA Tables Imaging and Visibility Measurement Sets. To extract and engineer radio metadata, we have authored two software packages: metaData (v0.5.0) and mddb (v1.3). Together, these Python packages can convert all the above stated data format types into concise FITS-like header files, engineer the metadata to conform to the CAOM data model, and then insert these engineered data into the CADC database, which subsequently becomes published through the Canadian Virtual Observatory. The metaData and mddb packages have, for the first time, published ALMA imaging data on VO services. Our ongoing work aims to integrate visibility data from ALMA and the SKA into VO services and to enable user-submitted radio data to move seamlessly into the Virtual Observatory.

  20. Interoperable Solar Data and Metadata via LISIRD 3

    Science.gov (United States)

    Wilson, A.; Lindholm, D. M.; Pankratz, C. K.; Snow, M. A.; Woods, T. N.

    2015-12-01

    LISIRD 3 is a major upgrade of the LASP Interactive Solar Irradiance Data Center (LISIRD), which serves several dozen space based solar irradiance and related data products to the public. Through interactive plots, LISIRD 3 provides data browsing supported by data subsetting and aggregation. Incorporating a semantically enabled metadata repository, LISIRD 3 users see current, vetted, consistent information about the datasets offered. Users can now also search for datasets based on metadata fields such as dataset type and/or spectral or temporal range. This semantic database enables metadata browsing, so users can discover the relationships between datasets, instruments, spacecraft, mission and PI. The database also enables creation and publication of metadata records in a variety of formats, such as SPASE or ISO, making these datasets more discoverable. The database also enables the possibility of a public SPARQL endpoint, making the metadata browsable in an automated fashion. LISIRD 3's data access middleware, LaTiS, provides dynamic, on demand reformatting of data and timestamps, subsetting and aggregation, and other server side functionality via a RESTful OPeNDAP compliant API, enabling interoperability between LASP datasets and many common tools. LISIRD 3's templated front end design, coupled with the uniform data interface offered by LaTiS, allows easy integration of new datasets. Consequently the number and variety of datasets offered by LISIRD has grown to encompass several dozen, with many more to come. This poster will discuss design and implementation of LISIRD 3, including tools used, capabilities enabled, and issues encountered.

  1. Meteorological Test Reference Case - Copenhagen

    DEFF Research Database (Denmark)

    Kragh, Mikkel Kristian

    1997-01-01

    The report describes a case study. Actual weather data is converted into input for hygrothermal calculations. A survey of the literature on calculation of driving rain is reported and a ‘driving rain potential’ is generated on the basis of hourly meteorological data for selected years. The study...

  2. Surface meteorology and Solar Energy

    Science.gov (United States)

    Stackhouse, Paul W. (Principal Investigator)

    The Release 5.1 Surface meteorology and Solar Energy (SSE) data contains parameters formulated for assessing and designing renewable energy systems. Parameters fall under 11 categories including: Solar cooking, solar thermal applications, solar geometry, tilted solar panels, energy storage systems, surplus product storage systems, cloud information, temperature, wind, other meteorological factors, and supporting information. This latest release contains new parameters based on recommendations by the renewable energy industry and it is more accurate than previous releases. On-line plotting capabilities allow quick evaluation of potential renewable energy projects for any region of the world. The SSE data set is formulated from NASA satellite- and reanalysis-derived insolation and meteorological data for the 10-year period July 1983 through June 1993. Results are provided for 1 degree latitude by 1 degree longitude grid cells over the globe. Average daily and monthly measurements for 1195 World Radiation Data Centre ground sites are also available. [Mission Objectives] The SSE project contains insolation and meteorology data intended to aid in the development of renewable energy systems. Collaboration between SSE and technology industries such as the Hybrid Optimization Model for Electric Renewables ( HOMER ) may aid in designing electric power systems that employ some combination of wind turbines, photovoltaic panels, or diesel generators to produce electricity. [Temporal_Coverage: Start_Date=1983-07-01; Stop_Date=1993-06-30] [Spatial_Coverage: Southernmost_Latitude=-90; Northernmost_Latitude=90; Westernmost_Longitude=-180; Easternmost_Longitude=180].

  3. Evaporation in hydrology and meteorology

    NARCIS (Netherlands)

    Brandsma, T.

    1990-01-01

    In this paper the role of evaporation in hydrology and meteorology is discussed, with the emphasis on hydrology. The basic theory of evaporation is given and methods to determine evaporation are presented. Some applications of evaporation studies in literature are given in order to illustrate the

  4. Meta-Data Objects as the Basis for System Evolution

    CERN Document Server

    Estrella, Florida; Tóth, N; Kovács, Z; Le Goff, J M; Clatchey, Richard Mc; Toth, Norbert; Kovacs, Zsolt; Goff, Jean-Marie Le

    2001-01-01

    One of the main factors driving object-oriented software development in the Web- age is the need for systems to evolve as user requirements change. A crucial factor in the creation of adaptable systems dealing with changing requirements is the suitability of the underlying technology in allowing the evolution of the system. A reflective system utilizes an open architecture where implicit system aspects are reified to become explicit first-class (meta-data) objects. These implicit system aspects are often fundamental structures which are inaccessible and immutable, and their reification as meta-data objects can serve as the basis for changes and extensions to the system, making it self- describing. To address the evolvability issue, this paper proposes a reflective architecture based on two orthogonal abstractions - model abstraction and information abstraction. In this architecture the modeling abstractions allow for the separation of the description meta-data from the system aspects they represent so that th...

  5. Metadata for fine-grained processing at ATLAS

    CERN Document Server

    Cranshaw, Jack; The ATLAS collaboration

    2016-01-01

    High energy physics experiments are implementing highly parallel solutions for event processing on resources that support concurrency at multiple levels. These range from the inherent large-scale parallelism of HPC resources to the multiprocessing and multithreading needed for effective use of multi-core and GPU-augmented nodes. Such modes of processing, and the efficient opportunistic use of transiently-available resources, lead to finer-grained processing of event data. Previously metadata systems were tailored to jobs that were atomic and processed large, well-defined units of data. The new environment requires a more fine-grained approach to metadata handling, especially with regard to bookkeeping. For opportunistic resources metadata propagation needs to work even if individual jobs are not finalized. This contribution describes ATLAS solutions to this problem in the context of the multiprocessing framework currently in use for LHC Run 2, development underway for the ATLAS multithreaded framework (Athena...

  6. Statistical Data Processing with R – Metadata Driven Approach

    Directory of Open Access Journals (Sweden)

    Rudi SELJAK

    2016-06-01

    Full Text Available In recent years the Statistical Office of the Republic of Slovenia has put a lot of effort into re-designing its statistical process. We replaced the classical stove-pipe oriented production system with general software solutions, based on the metadata driven approach. This means that one general program code, which is parametrized with process metadata, is used for data processing for a particular survey. Currently, the general program code is entirely based on SAS macros, but in the future we would like to explore how successfully statistical software R can be used for this approach. Paper describes the metadata driven principle for data validation, generic software solution and main issues connected with the use of statistical software R for this approach.

  7. Using URIs to effectively transmit sensor data and metadata

    Science.gov (United States)

    Kokkinaki, Alexandra; Buck, Justin; Darroch, Louise; Gardner, Thomas

    2017-04-01

    Autonomous ocean observation is massively increasing the number of sensors in the ocean. Accordingly, the continuing increase in datasets produced, makes selecting sensors that are fit for purpose a growing challenge. Decision making on selecting quality sensor data, is based on the sensor's metadata, i.e. manufacturer specifications, history of calibrations etc. The Open Geospatial Consortium (OGC) has developed the Sensor Web Enablement (SWE) standards to facilitate integration and interoperability of sensor data and metadata. The World Wide Web Consortium (W3C) Semantic Web technologies enable machine comprehensibility promoting sophisticated linking and processing of data published on the web. Linking the sensor's data and metadata according to the above-mentioned standards can yield practical difficulties, because of internal hardware bandwidth restrictions and a requirement to constrain data transmission costs. Our approach addresses these practical difficulties by uniquely identifying sensor and platform models and instances through URIs, which resolve via content negotiation to either OGC's sensor meta language, sensorML or W3C's Linked Data. Data transmitted by a sensor incorporate the sensor's unique URI to refer to its metadata. Sensor and platform model URIs and descriptions are created and hosted by the British Oceanographic Data Centre (BODC) linked systems service. The sensor owner creates the sensor and platform instance URIs prior and during sensor deployment, through an updatable web form, the Sensor Instance Form (SIF). SIF enables model and instance URI association but also platform and sensor linking. The use of URIs, which are dynamically generated through the SIF, offers both practical and economical benefits to the implementation of SWE and Linked Data standards in near real time systems. Data can be linked to metadata dynamically in-situ while saving on the costs associated to the transmission of long metadata descriptions. The transmission

  8. Facilitating the production of ISO-compliant metadata of geospatial datasets

    Science.gov (United States)

    Giuliani, Gregory; Guigoz, Yaniss; Lacroix, Pierre; Ray, Nicolas; Lehmann, Anthony

    2016-02-01

    Metadata are recognized as an essential element to enable efficient and effective discovery of geospatial data published in spatial data infrastructures (SDI). However, metadata production is still perceived as a complex, tedious and time-consuming task. This typically results in little metadata production and can seriously hinder the objective of facilitating data discovery. In response to this issue, this paper presents a proof of concept based on an interoperable workflow between a data publication server and a metadata catalog to automatically generate ISO-compliant metadata. The proposed approach facilitates metadata creation by embedding this task in daily data management workflows; ensures that data and metadata are permanently up-to-date; significantly reduces the obstacles of metadata production; and potentially facilitates contributions to initiatives like the Global Earth Observation System of Systems (GEOSS) by making geospatial resources discoverable.

  9. Linked data for libraries, archives and museums how to clean, link and publish your metadata

    CERN Document Server

    Hooland, Seth van

    2014-01-01

    This highly practical handbook teaches you how to unlock the value of your existing metadata through cleaning, reconciliation, enrichment and linking and how to streamline the process of new metadata creation. Libraries, archives and museums are facing up to the challenge of providing access to fast growing collections whilst managing cuts to budgets. Key to this is the creation, linking and publishing of good quality metadata as Linked Data that will allow their collections to be discovered, accessed and disseminated in a sustainable manner. This highly practical handbook teaches you how to unlock the value of your existing metadata through cleaning, reconciliation, enrichment and linking and how to streamline the process of new metadata creation. Metadata experts Seth van Hooland and Ruben Verborgh introduce the key concepts of metadata standards and Linked Data and how they can be practically applied to existing metadata, giving readers the tools and understanding to achieve maximum results with limited re...

  10. A novel framework for assessing metadata quality in epidemiological and public health research settings.

    Science.gov (United States)

    McMahon, Christiana; Denaxas, Spiros

    2016-01-01

    Metadata are critical in epidemiological and public health research. However, a lack of biomedical metadata quality frameworks and limited awareness of the implications of poor quality metadata renders data analyses problematic. In this study, we created and evaluated a novel framework to assess metadata quality of epidemiological and public health research datasets. We performed a literature review and surveyed stakeholders to enhance our understanding of biomedical metadata quality assessment. The review identified 11 studies and nine quality dimensions; none of which were specifically aimed at biomedical metadata. 96 individuals completed the survey; of those who submitted data, most only assessed metadata quality sometimes, and eight did not at all. Our framework has four sections: a) general information; b) tools and technologies; c) usability; and d) management and curation. We evaluated the framework using three test cases and sought expert feedback. The framework can assess biomedical metadata quality systematically and robustly.

  11. Defense Meteorological Satellite Program (DMSP) Film

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The United States Air Force Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) is a polar orbiting meteorological sensor with two...

  12. Data Publication in the Meteorological Sciences: the OJIMS project

    Science.gov (United States)

    Callaghan, Sarah; Hewer, Fiona; Pepler, Sam; Hardaker, Paul; Gadian, Alan

    2010-05-01

    Historically speaking, scientific publication has mainly focussed on the analysis, interpretation and conclusions drawn from a given dataset, as these are the information that can be easily published in hard copy text format with the aid of diagrams. Examining the raw data that forms the dataset is often difficult to do, as datasets are usually stored in digital media, in a variety of (often proprietary or non-standard) formats. This means that the peer-review process is generally only applied to the methodology and final conclusions of a piece of work, and not the underlying data itself. Yet for the conclusions to stand, the data must be of good quality, and the peer-review process must be used to judge the data quality. Data publication, involving the peer-review of datasets, would be of benefit to many sectors of the academic community. For the data scientists, who often spend considerable time and effort ensuring that their data and metadata is complete, valid and stored in an accredited data repository, this would provide academic credit in the form of extra publications and citations. Data publication would benefit the wider community, allowing discovery and reuse of useful datasets, ensuring their curation and providing the best possible value for money. Overlay journals are a technology which is already being used to facilitate peer review and publication on-line. The Overlay Journal Infrastructure for Meteorological Sciences (OJIMS) Project aimed to develop the mechanisms that could support both a new (overlay) Journal of Meteorological Data and an Open-Access Repository for documents related to the meteorological sciences. The OJIMS project was conducted by a partnership between the UK's Royal Meteorological Society (RMetS) and two members of the National Centre for Atmospheric Science (NCAS), the British Atmospheric Data Centre (BADC) and the University of Leeds. Conference delegates at the NCAS Conference in Bristol of 8-10 December 2008 were invited to

  13. Journal of Meteorology and Climate Science

    African Journals Online (AJOL)

    The Journal of Meteorology and Climate Science publishes rigorous theoretical reasoning and advanced empirical research in all areas of Meteorology and Climate Sciences. We welcome articles or proposals from all perspectives and on all subjects pertaining to Meteorology, Agriculture, Humanity, Physics, Geography, ...

  14. Technology and Meteorology. An Action Research Paper.

    Science.gov (United States)

    Taggart, Raymond F.

    Meteorology, the science of weather and weather conditions, has traditionally been taught via textbook and rote demonstration. This study was intended to determine to what degree utilizing technology in the study of meteorology improves students' attitudes towards science and to measure to what extent technology in meteorology increases…

  15. Syllabi for Instruction in Agricultural Meteorology.

    Science.gov (United States)

    De Villiers, G. D. B.; And Others

    A working group of the Commission for Agricultural Meteorology has prepared this report to fill a need for detailed syllabi for instruction in agricultural meteorology required by different levels of personnel. Agrometeorological personnel are classified in three categories: (1) professional meteorological personnel (graduates with basic training…

  16. Epicurean Meteorology: Sources, method, scope and organization

    NARCIS (Netherlands)

    Bakker, F.A.

    2016-01-01

    In Epicurean Meteorology Frederik Bakker discusses the meteorology as laid out by Epicurus (341-270 BCE) and Lucretius (1st century BCE). Although in scope and organization their ideas are clearly rooted in the Peripatetic tradition, their meteorology sets itself apart from this tradition by its

  17. Evaporation in hydrology and meteorology

    OpenAIRE

    Brandsma, T.

    1990-01-01

    In this paper the role of evaporation in hydrology and meteorology is discussed, with the emphasis on hydrology. The basic theory of evaporation is given and methods to determine evaporation are presented. Some applications of evaporation studies in literature are given in order to illustrate the theory. Further, special conditions in evaporation are considered, followed by a fotmulation of the difficulties in determining evaporation, The last part of the paper gives a short discussion about ...

  18. A Window to the World: Lessons Learned from NASA's Collaborative Metadata Curation Effort

    Science.gov (United States)

    Bugbee, K.; Dixon, V.; Baynes, K.; Shum, D.; le Roux, J.; Ramachandran, R.

    2017-12-01

    Well written descriptive metadata adds value to data by making data easier to discover as well as increases the use of data by providing the context or appropriateness of use. While many data centers acknowledge the importance of correct, consistent and complete metadata, allocating resources to curate existing metadata is often difficult. To lower resource costs, many data centers seek guidance on best practices for curating metadata but struggle to identify those recommendations. In order to assist data centers in curating metadata and to also develop best practices for creating and maintaining metadata, NASA has formed a collaborative effort to improve the Earth Observing System Data and Information System (EOSDIS) metadata in the Common Metadata Repository (CMR). This effort has taken significant steps in building consensus around metadata curation best practices. However, this effort has also revealed gaps in EOSDIS enterprise policies and procedures within the core metadata curation task. This presentation will explore the mechanisms used for building consensus on metadata curation, the gaps identified in policies and procedures, the lessons learned from collaborating with both the data centers and metadata curation teams, and the proposed next steps for the future.

  19. Competence Based Educational Metadata for Supporting Lifelong Competence Development Programmes

    NARCIS (Netherlands)

    Sampson, Demetrios; Fytros, Demetrios

    2008-01-01

    Sampson, D., & Fytros, D. (2008). Competence Based Educational Metadata for Supporting Lifelong Competence Development Programmes. In P. Diaz, Kinshuk, I. Aedo & E. Mora (Eds.), Proceedings of the 8th IEEE International Conference on Advanced Learning Technologies (ICALT 2008), pp. 288-292. July,

  20. The evolution of chondrichthyan research through a metadata ...

    African Journals Online (AJOL)

    We compiled metadata from Sharks Down Under (1991) and the two Sharks International conferences (2010 and 2014), spanning 23 years. Analysis of the data highlighted taxonomic biases towards charismatic species, a declining number of studies in fundamental science such as those related to taxonomy and basic life ...

  1. Standardizing metadata and taxonomic identification in metabarcoding studies

    NARCIS (Netherlands)

    Tedersoo, Leho; Ramirez, Kelly; Nilsson, R; Kaljuvee, Aivi; Koljalg, Urmas; Abarenkov, Kessy

    2015-01-01

    High-throughput sequencing-based metabarcoding studies produce vast amounts of ecological data, but a lack of consensus on standardization of metadata and how to refer to the species recovered severely hampers reanalysis and comparisons among studies. Here we propose an automated workflow covering

  2. Metadata for data rescue and data at risk

    Science.gov (United States)

    Anderson, William L.; Faundeen, John L.; Greenberg, Jane; Taylor, Fraser

    2011-01-01

    Scientific data age, become stale, fall into disuse and run tremendous risks of being forgotten and lost. These problems can be addressed by archiving and managing scientific data over time, and establishing practices that facilitate data discovery and reuse. Metadata documentation is integral to this work and essential for measuring and assessing high priority data preservation cases. The International Council for Science: Committee on Data for Science and Technology (CODATA) has a newly appointed Data-at-Risk Task Group (DARTG), participating in the general arena of rescuing data. The DARTG primary objective is building an inventory of scientific data that are at risk of being lost forever. As part of this effort, the DARTG is testing an approach for documenting endangered datasets. The DARTG is developing a minimal and easy to use set of metadata properties for sufficiently describing endangered data, which will aid global data rescue missions. The DARTG metadata framework supports rapid capture, and easy documentation, across an array of scientific domains. This paper reports on the goals and principles supporting the DARTG metadata schema, and provides a description of the preliminary implementation.

  3. A metadata schema for data objects in clinical research.

    Science.gov (United States)

    Canham, Steve; Ohmann, Christian

    2016-11-24

    A large number of stakeholders have accepted the need for greater transparency in clinical research and, in the context of various initiatives and systems, have developed a diverse and expanding number of repositories for storing the data and documents created by clinical studies (collectively known as data objects). To make the best use of such resources, we assert that it is also necessary for stakeholders to agree and deploy a simple, consistent metadata scheme. The relevant data objects and their likely storage are described, and the requirements for metadata to support data sharing in clinical research are identified. Issues concerning persistent identifiers, for both studies and data objects, are explored. A scheme is proposed that is based on the DataCite standard, with extensions to cover the needs of clinical researchers, specifically to provide (a) study identification data, including links to clinical trial registries; (b) data object characteristics and identifiers; and (c) data covering location, ownership and access to the data object. The components of the metadata scheme are described. The metadata schema is proposed as a natural extension of a widely agreed standard to fill a gap not tackled by other standards related to clinical research (e.g., Clinical Data Interchange Standards Consortium, Biomedical Research Integrated Domain Group). The proposal could be integrated with, but is not dependent on, other moves to better structure data in clinical research.

  4. Training and Best Practice Guidelines: Implications for Metadata Creation

    Science.gov (United States)

    Chuttur, Mohammad Y.

    2012-01-01

    In response to the rapid development of digital libraries over the past decade, researchers have focused on the use of metadata as an effective means to support resource discovery within online repositories. With the increasing involvement of libraries in digitization projects and the growing number of institutional repositories, it is anticipated…

  5. Metadata Schema Used in OCLC Sampled Web Pages

    Directory of Open Access Journals (Sweden)

    Fei Yu

    2005-12-01

    Full Text Available The tremendous growth of Web resources has made information organization and retrieval more and more difficult. As one approach to this problem, metadata schemas have been developed to characterize Web resources. However, many questions have been raised about the use of metadata schemas such as which metadata schemas have been used on the Web? How did they describe Web accessible information? What is the distribution of these metadata schemas among Web pages? Do certain schemas dominate the others? To address these issues, this study analyzed 16,383 Web pages with meta tags extracted from 200,000 OCLC sampled Web pages in 2000. It found that only 8.19% Web pages used meta tags; description tags, keyword tags, and Dublin Core tags were the only three schemas used in the Web pages. This article revealed the use of meta tags in terms of their function distribution, syntax characteristics, granularity of the Web pages, and the length distribution and word number distribution of both description and keywords tags.

  6. Transforming and enhancing metadata for enduser discovery: a case study

    Directory of Open Access Journals (Sweden)

    Edward M. Corrado

    2014-05-01

    The Libraries’ workflow and portions of code will be shared; issues and challenges involved will be discussed. While this case study is specific to Binghamton University Libraries, examples of strategies used at other institutions will also be introduced. This paper should be useful to anyone interested in describing large quantities of photographs or other materials with preexisting embedded metadata.

  7. Aspect oriented implementation of design patterns using metadata ...

    African Journals Online (AJOL)

    Aspect oriented programming extends object oriented programming by managing crosscutting concerns using aspects. Two of the most important critics of aspect oriented programming are the “tyranny of the dominant signature” and lack of visibility of program's flow. Metadata, in form of Java annotations, is a solution to ...

  8. Big Earth Data Initiative: Metadata Improvement: Case Studies

    Science.gov (United States)

    Kozimor, John; Habermann, Ted; Farley, John

    2016-01-01

    Big Earth Data Initiative (BEDI) The Big Earth Data Initiative (BEDI) invests in standardizing and optimizing the collection, management and delivery of U.S. Government's civil Earth observation data to improve discovery, access use, and understanding of Earth observations by the broader user community. Complete and consistent standard metadata helps address all three goals.

  9. ONEMercury: Towards Automatic Annotation of Earth Science Metadata

    Science.gov (United States)

    Tuarob, S.; Pouchard, L. C.; Noy, N.; Horsburgh, J. S.; Palanisamy, G.

    2012-12-01

    Earth sciences have become more data-intensive, requiring access to heterogeneous data collected from multiple places, times, and thematic scales. For example, research on climate change may involve exploring and analyzing observational data such as the migration of animals and temperature shifts across the earth, as well as various model-observation inter-comparison studies. Recently, DataONE, a federated data network built to facilitate access to and preservation of environmental and ecological data, has come to exist. ONEMercury has recently been implemented as part of the DataONE project to serve as a portal for discovering and accessing environmental and observational data across the globe. ONEMercury harvests metadata from the data hosted by multiple data repositories and makes it searchable via a common search interface built upon cutting edge search engine technology, allowing users to interact with the system, intelligently filter the search results on the fly, and fetch the data from distributed data sources. Linking data from heterogeneous sources always has a cost. A problem that ONEMercury faces is the different levels of annotation in the harvested metadata records. Poorly annotated records tend to be missed during the search process as they lack meaningful keywords. Furthermore, such records would not be compatible with the advanced search functionality offered by ONEMercury as the interface requires a metadata record be semantically annotated. The explosion of the number of metadata records harvested from an increasing number of data repositories makes it impossible to annotate the harvested records manually, urging the need for a tool capable of automatically annotating poorly curated metadata records. In this paper, we propose a topic-model (TM) based approach for automatic metadata annotation. Our approach mines topics in the set of well annotated records and suggests keywords for poorly annotated records based on topic similarity. We utilize the

  10. Provenance metadata gathering and cataloguing of EFIT++ code execution

    International Nuclear Information System (INIS)

    Lupelli, I.; Muir, D.G.; Appel, L.; Akers, R.; Carr, M.; Abreu, P.

    2015-01-01

    Highlights: • An approach for automatic gathering of provenance metadata has been presented. • A provenance metadata catalogue has been created. • The overhead in the code runtime is less than 10%. • The metadata/data size ratio is about ∼20%. • A visualization interface based on Gephi, has been presented. - Abstract: Journal publications, as the final product of research activity, are the result of an extensive complex modeling and data analysis effort. It is of paramount importance, therefore, to capture the origins and derivation of the published data in order to achieve high levels of scientific reproducibility, transparency, internal and external data reuse and dissemination. The consequence of the modern research paradigm is that high performance computing and data management systems, together with metadata cataloguing, have become crucial elements within the nuclear fusion scientific data lifecycle. This paper describes an approach to the task of automatically gathering and cataloguing provenance metadata, currently under development and testing at Culham Center for Fusion Energy. The approach is being applied to a machine-agnostic code that calculates the axisymmetric equilibrium force balance in tokamaks, EFIT++, as a proof of principle test. The proposed approach avoids any code instrumentation or modification. It is based on the observation and monitoring of input preparation, workflow and code execution, system calls, log file data collection and interaction with the version control system. Pre-processing, post-processing, and data export and storage are monitored during the code runtime. Input data signals are captured using a data distribution platform called IDAM. The final objective of the catalogue is to create a complete description of the modeling activity, including user comments, and the relationship between data output, the main experimental database and the execution environment. For an intershot or post-pulse analysis (∼1000

  11. A Metadata Standard for Hydroinformatic Data Conforming to International Standards

    Science.gov (United States)

    Notay, Vikram; Carstens, Georg; Lehfeldt, Rainer

    2017-04-01

    The affordable availability of computing power and digital storage has been a boon for the scientific community. The hydroinformatics community has also benefitted from the so-called digital revolution, which has enabled the tackling of more and more complex physical phenomena using hydroinformatic models, instruments, sensors, etc. With models getting more and more complex, computational domains getting larger and the resolution of computational grids and measurement data getting finer, a large amount of data is generated and consumed in any hydroinformatics related project. The ubiquitous availability of internet also contributes to this phenomenon with data being collected through sensor networks connected to telecommunications networks and the internet long before the term Internet of Things existed. Although generally good, this exponential increase in the number of available datasets gives rise to the need to describe this data in a standardised way to not only be able to get a quick overview about the data but to also facilitate interoperability of data from different sources. The Federal Waterways Engineering and Research Institute (BAW) is a federal authority of the German Federal Ministry of Transport and Digital Infrastructure. BAW acts as a consultant for the safe and efficient operation of the German waterways. As part of its consultation role, BAW operates a number of physical and numerical models for sections of inland and marine waterways. In order to uniformly describe the data produced and consumed by these models throughout BAW and to ensure interoperability with other federal and state institutes on the one hand and with EU countries on the other, a metadata profile for hydroinformatic data has been developed at BAW. The metadata profile is composed in its entirety using the ISO 19115 international standard for metadata related to geographic information. Due to the widespread use of the ISO 19115 standard in the existing geodata infrastructure

  12. ASDC Collaborations and Processes to Ensure Quality Metadata and Consistent Data Availability

    Science.gov (United States)

    Trapasso, T. J.

    2017-12-01

    With the introduction of new tools, faster computing, and less expensive storage, increased volumes of data are expected to be managed with existing or fewer resources. Metadata management is becoming a heightened challenge from the increase in data volume, resulting in more metadata records needed to be curated for each product. To address metadata availability and completeness, NASA ESDIS has taken significant strides with the creation of the United Metadata Model (UMM) and Common Metadata Repository (CMR). These UMM helps address hurdles experienced by the increasing number of metadata dialects and the CMR provides a primary repository for metadata so that required metadata fields can be served through a growing number of tools and services. However, metadata quality remains an issue as metadata is not always inherent to the end-user. In response to these challenges, the NASA Atmospheric Science Data Center (ASDC) created the Collaboratory for quAlity Metadata Preservation (CAMP) and defined the Product Lifecycle Process (PLP) to work congruently. CAMP is unique in that it provides science team members a UI to directly supply metadata that is complete, compliant, and accurate for their data products. This replaces back-and-forth communication that often results in misinterpreted metadata. Upon review by ASDC staff, metadata is submitted to CMR for broader distribution through Earthdata. Further, approval of science team metadata in CAMP automatically triggers the ASDC PLP workflow to ensure appropriate services are applied throughout the product lifecycle. This presentation will review the design elements of CAMP and PLP as well as demonstrate interfaces to each. It will show the benefits that CAMP and PLP provide to the ASDC that could potentially benefit additional NASA Earth Science Data and Information System (ESDIS) Distributed Active Archive Centers (DAACs).

  13. Serious Games for Health: The Potential of Metadata.

    Science.gov (United States)

    Göbel, Stefan; Maddison, Ralph

    2017-02-01

    Numerous serious games and health games exist, either as commercial products (typically with a focus on entertaining a broad user group) or smaller games and game prototypes, often resulting from research projects (typically tailored to a smaller user group with a specific health characteristic). A major drawback of existing health games is that they are not very well described and attributed with (machine-readable, quantitative, and qualitative) metadata such as the characterizing goal of the game, the target user group, or expected health effects well proven in scientific studies. This makes it difficult or even impossible for end users to find and select the most appropriate game for a specific situation (e.g., health needs). Therefore, the aim of this article was to motivate the need and potential/benefit of metadata for the description and retrieval of health games and to describe a descriptive model for the qualitative description of games for health. It was not the aim of the article to describe a stable, running system (portal) for health games. This will be addressed in future work. Building on previous work toward a metadata format for serious games, a descriptive model for the formal description of games for health is introduced. For the conceptualization of this model, classification schemata of different existing health game repositories are considered. The classification schema consists of three levels: a core set of mandatory descriptive fields relevant for all games for health application areas, a detailed level with more comprehensive, optional information about the games, and so-called extension as level three with specific descriptive elements relevant for dedicated health games application areas, for example, cardio training. A metadata format provides a technical framework to describe, find, and select appropriate health games matching the needs of the end user. Future steps to improve, apply, and promote the metadata format in the health games

  14. Empirical Analysis of Errors on Human-Generated Learning Objects Metadata

    Science.gov (United States)

    Cechinel, Cristian; Sánchez-Alonso, Salvador; Sicilia, Miguel Ángel

    Learning object metadata is considered crucial for the right management of learning objects stored in public repositories. Search operations, in particular, rely on the quality of these metadata as an essential precondition for finding results adequate to users requirements and needs. However, learning object metadata are not always reliable, as many factors have a negative influence in metadata quality (human annotators not having the minimum skills, unvoluntary mistakes, lack of information, for instance). This paper analyses human-generated learning object metadata records described according to the IEEE LOM standard, identifies the most significant errors committed and points out which parts of the standard should be improved for the sake of quality.

  15. The Ontological Perspectives of the Semantic Web and the Metadata Harvesting Protocol: Applications of Metadata for Improving Web Search.

    Science.gov (United States)

    Fast, Karl V.; Campbell, D. Grant

    2001-01-01

    Compares the implied ontological frameworks of the Open Archives Initiative Protocol for Metadata Harvesting and the World Wide Web Consortium's Semantic Web. Discusses current search engine technology, semantic markup, indexing principles of special libraries and online databases, and componentization and the distinction between data and…

  16. The National Digital Information Infrastructure Preservation Program; Metadata Principles and Practicalities; Challenges for Service Providers when Importing Metadata in Digital Libraries; Integrated and Aggregated Reference Services.

    Science.gov (United States)

    Friedlander, Amy; Duval, Erik; Hodgins, Wayne; Sutton, Stuart; Weibel, Stuart L.; McClelland, Marilyn; McArthur, David; Giersch, Sarah; Geisler, Gary; Hodgkin, Adam

    2002-01-01

    Includes 6 articles that discuss the National Digital Information Infrastructure Preservation Program at the Library of Congress; metadata in digital libraries; integrated reference services on the Web. (LRW)

  17. Treating metadata as annotations: separating the content markup from the content

    Directory of Open Access Journals (Sweden)

    Fredrik Paulsson

    2007-11-01

    Full Text Available The use of digital learning resources creates an increasing need for semantic metadata, describing the whole resource, as well as parts of resources. Traditionally, schemas such as Text Encoding Initiative (TEI have been used to add semantic markup for parts of resources. This is not sufficient for use in a ”metadata ecology”, where metadata is distributed, coherent to different Application Profiles, and added by different actors. A new methodology, where metadata is “pointed in” as annotations, using XPointers, and RDF is proposed. A suggestion for how such infrastructure can be implemented, using existing open standards for metadata, and for the web is presented. We argue that such methodology and infrastructure is necessary to realize the decentralized metadata infrastructure needed for a “metadata ecology".

  18. A federated semantic metadata registry framework for enabling interoperability across clinical research and care domains.

    Science.gov (United States)

    Sinaci, A Anil; Laleci Erturkmen, Gokce B

    2013-10-01

    In order to enable secondary use of Electronic Health Records (EHRs) by bridging the interoperability gap between clinical care and research domains, in this paper, a unified methodology and the supporting framework is introduced which brings together the power of metadata registries (MDR) and semantic web technologies. We introduce a federated semantic metadata registry framework by extending the ISO/IEC 11179 standard, and enable integration of data element registries through Linked Open Data (LOD) principles where each Common Data Element (CDE) can be uniquely referenced, queried and processed to enable the syntactic and semantic interoperability. Each CDE and their components are maintained as LOD resources enabling semantic links with other CDEs, terminology systems and with implementation dependent content models; hence facilitating semantic search, much effective reuse and semantic interoperability across different application domains. There are several important efforts addressing the semantic interoperability in healthcare domain such as IHE DEX profile proposal, CDISC SHARE and CDISC2RDF. Our architecture complements these by providing a framework to interlink existing data element registries and repositories for multiplying their potential for semantic interoperability to a greater extent. Open source implementation of the federated semantic MDR framework presented in this paper is the core of the semantic interoperability layer of the SALUS project which enables the execution of the post marketing safety analysis studies on top of existing EHR systems. Copyright © 2013 Elsevier Inc. All rights reserved.

  19. Climatological Data Rescue from historic meteorological stations in the Czech Republic.

    Science.gov (United States)

    Repka, M.

    2010-09-01

    Digitization of climatological data from meteorological station had several periods in past. Last period is very close connected with database system CLIDATA. The main source of historical data is archive in Ostrava regional office of CHMI where a lot of historical monthly reports of observations with daily data are stored. Other historical data were founded from various types of historical annual reports and last but not least from border cooperation with Polish and Slovak meteorological services. During several last years were imported daily data from new discovered stations, and some elements from historic stations such as precipitation, temperature, relative humidity, cloudiness, hourly data of sunshine, temperatures from thermographs and also meteorological phenomena from some synoptic stations. Within the frame of our project we could also digitize wind speed, wind direction and wind gust data. During more than 150 years of regular meteorological observation, were used a big amount of various types of monthly reports for measured data records. Meteorological stations were founded by several organizations and all of them used another kind of reports that were changed during years. We recognized nearly 30 types of precipitation monthly reports and 50 types of climatologic reports. Digitization of data especially from very historical stations brings also some problems during definition of metadata such as coordinates, elevations, measuring instruments height, a lot of observing terms or historic units of elements. Some historical annual reports mention observer's jobs, that is very interesting and we can find position of meteorological stations more exactly. Data quality control has been proceeded since 1993. First were used special programs and algorithms outside of database system. Some new programs for wrong values detection or for missing values filling are used at present. CLIDATA database system and its extensions allows to make logical and spatial data

  20. Data Bookkeeping Service 3 - Providing event metadata in CMS

    CERN Document Server

    Giffels, Manuel; Riley, Daniel

    2014-01-01

    The Data Bookkeeping Service 3 provides a catalog of event metadata for Monte Carlo and recorded data of the Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider (LHC) at CERN, Geneva. It comprises all necessary information for tracking datasets, their processing history and associations between runs, files and datasets, on a large scale of about $200,000$ datasets and more than $40$ million files, which adds up in around $700$ GB of metadata. The DBS is an essential part of the CMS Data Management and Workload Management (DMWM) systems, all kind of data-processing like Monte Carlo production, processing of recorded event data as well as physics analysis done by the users are heavily relying on the information stored in DBS.

  1. Leveraging Python to improve ebook metadata selection, ingest, and management

    Directory of Open Access Journals (Sweden)

    Kelly Thompson

    2017-10-01

    Full Text Available Libraries face many challenges in managing descriptive metadata for ebooks, including quality control, completeness of coverage, and ongoing management. The recent emergence of library management systems that automatically provide descriptive metadata for e-resources activated in system knowledge bases means that ebook management models are moving toward both greater efficiency and more complex implementation and maintenance choices. Automated and data-driven processes for ebook management have always been desirable, but in the current environment, they become necessary. In addition to initial selection of a record source, automation can be applied to quality control processes and ongoing maintenance in order to keep manual, eyes-on work to a minimum while providing the best possible discovery and access. In this article, we describe how we are using Python scripts to address these challenges.

  2. Automatic Metadata Extraction - The High Energy Physics Use Case

    CERN Document Server

    Boyd, Joseph; Rajman, Martin

    Automatic metadata extraction (AME) of scientific papers has been described as one of the hardest problems in document engineering. Heterogeneous content, varying style, and unpredictable placement of article components render the problem inherently indeterministic. Conditional random fields (CRF), a machine learning technique, can be used to classify document metadata amidst this uncertainty, annotating document contents with semantic labels. High energy physics (HEP) papers, such as those written at CERN, have unique content and structural characteristics, with scientific collaborations of thousands of authors altering article layouts dramatically. The distinctive qualities of these papers necessitate the creation of specialised datasets and model features. In this work we build an unprecedented training set of HEP papers and propose and evaluate a set of innovative features for CRF models. We build upon state-of-the-art AME software, GROBID, a tool coordinating a hierarchy of CRF models in a full document ...

  3. ATLAS Metadata Infrastructure Evolution for Run 2 and Beyond

    CERN Document Server

    van Gemmeren, Peter; The ATLAS collaboration; Cranshaw, Jack; Vaniachine, Alexandre

    2015-01-01

    ATLAS developed and employed for Run 1 of the Large Hadron Collider a sophisticated infrastructure for metadata handling in event processing jobs. This infrastructure profits from a rich feature set provided by the ATLAS execution control framework, including standardized interfaces and invocation mechanisms for tools and services, segregation of transient data stores with concomitant object lifetime management, and mechanisms for handling occurrences asynchronous to the control framework’s state machine transitions. This metadata infrastructure is evolving and being extended for Run 2 to allow its use and reuse in downstream physics analyses, analyses that may or may not utilize the ATLAS control framework. At the same time, multiprocessing versions of the control framework and the requirements of future multithreaded frameworks are leading to redesign of components that use an incident-handling approach to asynchrony. The increased use of scatter-gather architectures, both local and distributed, requires ...

  4. Conditions and configuration metadata for the ATLAS experiment

    CERN Document Server

    Gallas, E J; Albrand, S; Fulachier, J; Lambert, F; Pachal, K E; Tseng, J C L; Zhang, Q

    2012-01-01

    In the ATLAS experiment, a system called COMA (Conditions/Configuration Metadata for ATLAS), has been developed to make globally important run-level metadata more readily accessible. It is based on a relational database storing directly extracted, refined, reduced, and derived information from system-specific database sources as well as information from non-database sources. This information facilitates a variety of unique dynamic interfaces and provides information to enhance the functionality of other systems. This presentation will give an overview of the components of the COMA system, enumerate its diverse data sources, and give examples of some of the interfaces it facilitates. We list important principles behind COMA schema and interface design, and how features of these principles create coherence and eliminate redundancy among the components of the overall system. In addition, we elucidate how interface logging data has been used to refine COMA content and improve the value and performance of end-user...

  5. Quality in Learning Objects: Evaluating Compliance with Metadata Standards

    Science.gov (United States)

    Vidal, C. Christian; Segura, N. Alejandra; Campos, S. Pedro; Sánchez-Alonso, Salvador

    Ensuring a certain level of quality of learning objects used in e-learning is crucial to increase the chances of success of automated systems in recommending or finding these resources. This paper aims to present a proposal for implementation of a quality model for learning objects based on ISO 9126 international standard for the evaluation of software quality. Features indicators associated with the conformance sub-characteristic are defined. Some instruments for feature evaluation are advised, which allow collecting expert opinion on evaluation items. Other quality model features are evaluated using only the information from its metadata using semantic web technologies. Finally, we propose an ontology-based application that allows automatic evaluation of a quality feature. IEEE LOM metadata standard was used in experimentation, and the results shown that most of learning objects analyzed do not complain the standard.

  6. Enhancing Media Personalization by Extracting Similarity Knowledge from Metadata

    DEFF Research Database (Denmark)

    Butkus, Andrius

    ) using Latent Semantic Analysis (one of the unsupervised machine learning techniques). It presents three separate cases to illustrate the similarity knowledge extraction from the metadata, where the emotional components in each case represents different abstraction levels – genres, synopsis and lyrics...... with many interrelated parts – recommendation engines, content metadata, contextual information and user profiles. In the center of any type of recommendation lies the notion of similarity. The most popular way to approach similarity is to look for the feature overlaps. This results often in recommending...... only “more of the same” type of content which does not necessarily lead to the meaningful personalization. Another way to approach similarity is to find a similar underlying meaning in the content. Aspects of meaning in media can be represented using Gardenfors Conceptual Spaces theory, which can...

  7. Indexing of ATLAS data management and analysis system metadata

    CERN Document Server

    Grigoryeva, Maria; The ATLAS collaboration

    2017-01-01

    This manuscript is devoted to the development of the system to manage metainformation of modern HENP experiments. The main purpose of the system is to provide scientists with transparent access to the actual and historical metadata related to data analysis, processing and modeling. The system design addresses the following goals : providing a flexible and fast search for metadata on various combinations of keywords, generating aggregated reports, categorized according to selected parameters, such as the studied physical process, scientific topic, physical group, etc. The article presents the architecture of the developed indexing and search system, as well as the results of performance tests. The comparison of the query execution speed within the developed system and in case of querying the original relational databases showed that the developed system provides results faster. Also the new system allows much more complex search requests, than the original storages.

  8. Standardizing metadata and taxonomic identification in metabarcoding studies.

    Science.gov (United States)

    Tedersoo, Leho; Ramirez, Kelly S; Nilsson, R Henrik; Kaljuvee, Aivi; Kõljalg, Urmas; Abarenkov, Kessy

    2015-01-01

    High-throughput sequencing-based metabarcoding studies produce vast amounts of ecological data, but a lack of consensus on standardization of metadata and how to refer to the species recovered severely hampers reanalysis and comparisons among studies. Here we propose an automated workflow covering data submission, compression, storage and public access to allow easy data retrieval and inter-study communication. Such standardized and readily accessible datasets facilitate data management, taxonomic comparisons and compilation of global metastudies.

  9. Automated Atmospheric Composition Dataset Level Metadata Discovery. Difficulties and Surprises

    Science.gov (United States)

    Strub, R. F.; Falke, S. R.; Kempler, S.; Fialkowski, E.; Goussev, O.; Lynnes, C.

    2015-12-01

    The Atmospheric Composition Portal (ACP) is an aggregator and curator of information related to remotely sensed atmospheric composition data and analysis. It uses existing tools and technologies and, where needed, enhances those capabilities to provide interoperable access, tools, and contextual guidance for scientists and value-adding organizations using remotely sensed atmospheric composition data. The initial focus is on Essential Climate Variables identified by the Global Climate Observing System - CH4, CO, CO2, NO2, O3, SO2 and aerosols. This poster addresses our efforts in building the ACP Data Table, an interface to help discover and understand remotely sensed data that are related to atmospheric composition science and applications. We harvested GCMD, CWIC, GEOSS metadata catalogs using machine to machine technologies - OpenSearch, Web Services. We also manually investigated the plethora of CEOS data providers portals and other catalogs where that data might be aggregated. This poster is our experience of the excellence, variety, and challenges we encountered.Conclusions:1.The significant benefits that the major catalogs provide are their machine to machine tools like OpenSearch and Web Services rather than any GUI usability improvements due to the large amount of data in their catalog.2.There is a trend at the large catalogs towards simulating small data provider portals through advanced services. 3.Populating metadata catalogs using ISO19115 is too complex for users to do in a consistent way, difficult to parse visually or with XML libraries, and too complex for Java XML binders like CASTOR.4.The ability to search for Ids first and then for data (GCMD and ECHO) is better for machine to machine operations rather than the timeouts experienced when returning the entire metadata entry at once. 5.Metadata harvest and export activities between the major catalogs has led to a significant amount of duplication. (This is currently being addressed) 6.Most (if not

  10. Digital Forensics Tool Testing - Image Metadata in the Cloud

    OpenAIRE

    Clark, Philip

    2011-01-01

    As cloud based services are becoming a common way for users to store and share images on the internet, this adds a new layer to the traditional digital forensics examination, which could cause additional potential errors in the investigation. Courtroom forensics evidence has historically been criticised for lacking a scientific basis. This thesis aims to present an approach for testing to what extent cloud based services alter or remove metadata in the images stored through such services. ...

  11. Interactive multimedia ethnography: Archiving workflow, interface aesthetics and metadata

    OpenAIRE

    Matthews, P.; Aston, J.

    2012-01-01

    Digital heritage archives often lack engaging user interfaces that strike a balance between providing narrative context and affording user interaction and exploration. It seems nevertheless feasible for metadata tagging and a “joined up” workflow to provide a basis for this rich interaction. After outlining relevant research from within and outside the heritage domain, we present our project FINE (Fluid Interfaces for Narrative Exploration), an effort to develop such a system. Based on conten...

  12. Improving Earth Science Metadata: Modernizing ncISO

    Science.gov (United States)

    O'Brien, K.; Schweitzer, R.; Neufeld, D.; Burger, E. F.; Signell, R. P.; Arms, S. C.; Wilcox, K.

    2016-12-01

    ncISO is a package of tools developed at NOAA's National Center for Environmental Information (NCEI) that facilitates the generation of ISO 19115-2 metadata from NetCDF data sources. The tool currently exists in two iterations: a command line utility and a web-accessible service within the THREDDS Data Server (TDS). Several projects, including NOAA's Unified Access Framework (UAF), depend upon ncISO to generate the ISO-compliant metadata from their data holdings and use the resulting information to populate discovery tools such as NCEI's ESRI Geoportal and NOAA's data.noaa.gov CKAN system. In addition to generating ISO 19115-2 metadata, the tool calculates a rubric score based on how well the dataset follows the Attribute Conventions for Dataset Discovery (ACDD). The result of this rubric calculation, along with information about what has been included and what is missing is displayed in an HTML document generated by the ncISO software package. Recently ncISO has fallen behind in terms of supporting updates to conventions such updates to the ACDD. With the blessing of the original programmer, NOAA's UAF has been working to modernize the ncISO software base. In addition to upgrading ncISO to utilize version1.3 of the ACDD, we have been working with partners at Unidata and IOOS to unify the tool's code base. In essence, we are merging the command line capabilities into the same software that will now be used by the TDS service, allowing easier updates when conventions such as ACDD are updated in the future. In this presentation, we will discuss the work the UAF project has done to support updated conventions within ncISO, as well as describe how the updated tool is helping to improve metadata throughout the earth and ocean sciences.

  13. ATTREX-Aircraft_navigational_and_meteorological_Measurements

    Data.gov (United States)

    National Aeronautics and Space Administration — This collection consists of the observational data from the Airborne Tropical TRopopause EXperiment (ATTREX) aircraft navigational and meteorological measurements...

  14. ISO, FGDC, DIF and Dublin Core - Making Sense of Metadata Standards for Earth Science Data

    Science.gov (United States)

    Jones, P. R.; Ritchey, N. A.; Peng, G.; Toner, V. A.; Brown, H.

    2014-12-01

    Metadata standards provide common definitions of metadata fields for information exchange across user communities. Despite the broad adoption of metadata standards for Earth science data, there are still heterogeneous and incompatible representations of information due to differences between the many standards in use and how each standard is applied. Federal agencies are required to manage and publish metadata in different metadata standards and formats for various data catalogs. In 2014, the NOAA National Climatic data Center (NCDC) managed metadata for its scientific datasets in ISO 19115-2 in XML, GCMD Directory Interchange Format (DIF) in XML, DataCite Schema in XML, Dublin Core in XML, and Data Catalog Vocabulary (DCAT) in JSON, with more standards and profiles of standards planned. Of these standards, the ISO 19115-series metadata is the most complete and feature-rich, and for this reason it is used by NCDC as the source for the other metadata standards. We will discuss the capabilities of metadata standards and how these standards are being implemented to document datasets. Successful implementations include developing translations and displays using XSLTs, creating links to related data and resources, documenting dataset lineage, and establishing best practices. Benefits, gaps, and challenges will be highlighted with suggestions for improved approaches to metadata storage and maintenance.

  15. Precision Pointing Reconstruction and Geometric Metadata Generation for Cassini Images

    Science.gov (United States)

    French, Robert S.; Showalter, Mark R.; Gordon, Mitchell K.

    2014-11-01

    Analysis of optical remote sensing (ORS) data from the Cassini spacecraft is a complicated and labor-intensive process. First, small errors in Cassini’s pointing information (up to ~40 pixels for the Imaging Science Subsystem Narrow Angle Camera) must be corrected so that the line of sight vector for each pixel is known. This process involves matching the image contents with known features such as stars, ring edges, or moon limbs. Second, metadata for each pixel must be computed. Depending on the object under observation, this metadata may include lighting geometry, moon or planet latitude and longitude, and/or ring radius and longitude. Both steps require mastering the SPICE toolkit, a highly capable piece of software with a steep learning curve. Only after these steps are completed can the actual scientific investigation begin.We are embarking on a three-year project to perform these steps for all 300,000+ Cassini ISS images as well as images taken by the VIMS, UVIS, and CIRS instruments. The result will be a series of SPICE kernels that include accurate pointing information and a series of backplanes that include precomputed metadata for each pixel. All data will be made public through the PDS Rings Node (http://www.pds-rings.seti.org). We expect this project to dramatically decrease the time required for scientists to analyze Cassini data. In this poster we discuss the project, our current status, and our plans for the next three years.

  16. Embedding Metadata and Other Semantics in Word Processing Documents

    Directory of Open Access Journals (Sweden)

    Peter Sefton

    2009-10-01

    Full Text Available This paper describes a technique for embedding document metadata, and potentially other semantic references inline in word processing documents, which the authors have implemented with the help of a software development team. Several assumptions underly the approach; It must be available across computing platforms and work with both Microsoft Word (because of its user base and OpenOffice.org (because of its free availability. Further the application needs to be acceptable to and usable by users, so the initial implementation covers only small number of features, which will only be extended after user-testing. Within these constraints the system provides a mechanism for encoding not only simple metadata, but for inferring hierarchical relationships between metadata elements from a ‘flat’ word processing file.The paper includes links to open source code implementing the techniques as part of a broader suite of tools for academic writing. This addresses tools and software, semantic web and data curation, integrating curation into research workflows and will provide a platform for integrating work on ontologies, vocabularies and folksonomies into word processing tools.

  17. Metadata Wizard: an easy-to-use tool for creating FGDC-CSDGM metadata for geospatial datasets in ESRI ArcGIS Desktop

    Science.gov (United States)

    Ignizio, Drew A.; O'Donnell, Michael S.; Talbert, Colin B.

    2014-01-01

    Creating compliant metadata for scientific data products is mandated for all federal Geographic Information Systems professionals and is a best practice for members of the geospatial data community. However, the complexity of the The Federal Geographic Data Committee’s Content Standards for Digital Geospatial Metadata, the limited availability of easy-to-use tools, and recent changes in the ESRI software environment continue to make metadata creation a challenge. Staff at the U.S. Geological Survey Fort Collins Science Center have developed a Python toolbox for ESRI ArcDesktop to facilitate a semi-automated workflow to create and update metadata records in ESRI’s 10.x software. The U.S. Geological Survey Metadata Wizard tool automatically populates several metadata elements: the spatial reference, spatial extent, geospatial presentation format, vector feature count or raster column/row count, native system/processing environment, and the metadata creation date. Once the software auto-populates these elements, users can easily add attribute definitions and other relevant information in a simple Graphical User Interface. The tool, which offers a simple design free of esoteric metadata language, has the potential to save many government and non-government organizations a significant amount of time and costs by facilitating the development of The Federal Geographic Data Committee’s Content Standards for Digital Geospatial Metadata compliant metadata for ESRI software users. A working version of the tool is now available for ESRI ArcDesktop, version 10.0, 10.1, and 10.2 (downloadable at http:/www.sciencebase.gov/metadatawizard).

  18. Data catalog project—A browsable, searchable, metadata system

    Energy Technology Data Exchange (ETDEWEB)

    Stillerman, Joshua, E-mail: jas@psfc.mit.edu [MIT Plasma Science and Fusion Center, Cambridge, MA (United States); Fredian, Thomas; Greenwald, Martin [MIT Plasma Science and Fusion Center, Cambridge, MA (United States); Manduchi, Gabriele [Consorzio RFX, Euratom-ENEA Association, Corso Stati Uniti 4, Padova 35127 (Italy)

    2016-11-15

    Modern experiments are typically conducted by large, extended groups, where researchers rely on other team members to produce much of the data they use. The experiments record very large numbers of measurements that can be difficult for users to find, access and understand. We are developing a system for users to annotate their data products with structured metadata, providing data consumers with a discoverable, browsable data index. Machine understandable metadata captures the underlying semantics of the recorded data, which can then be consumed by both programs, and interactively by users. Collaborators can use these metadata to select and understand recorded measurements. The data catalog project is a data dictionary and index which enables users to record general descriptive metadata, use cases and rendering information as well as providing them a transparent data access mechanism (URI). Users describe their diagnostic including references, text descriptions, units, labels, example data instances, author contact information and data access URIs. The list of possible attribute labels is extensible, but limiting the vocabulary of names increases the utility of the system. The data catalog is focused on the data products and complements process-based systems like the Metadata Ontology Provenance project [Greenwald, 2012; Schissel, 2015]. This system can be coupled with MDSplus to provide a simple platform for data driven display and analysis programs. Sites which use MDSplus can describe tree branches, and if desired create ‘processed data trees’ with homogeneous node structures for measurements. Sites not currently using MDSplus can either use the database to reference local data stores, or construct an MDSplus tree whose leaves reference the local data store. A data catalog system can provide a useful roadmap of data acquired from experiments or simulations making it easier for researchers to find and access important data and understand the meaning of the

  19. Data catalog project—A browsable, searchable, metadata system

    International Nuclear Information System (INIS)

    Stillerman, Joshua; Fredian, Thomas; Greenwald, Martin; Manduchi, Gabriele

    2016-01-01

    Modern experiments are typically conducted by large, extended groups, where researchers rely on other team members to produce much of the data they use. The experiments record very large numbers of measurements that can be difficult for users to find, access and understand. We are developing a system for users to annotate their data products with structured metadata, providing data consumers with a discoverable, browsable data index. Machine understandable metadata captures the underlying semantics of the recorded data, which can then be consumed by both programs, and interactively by users. Collaborators can use these metadata to select and understand recorded measurements. The data catalog project is a data dictionary and index which enables users to record general descriptive metadata, use cases and rendering information as well as providing them a transparent data access mechanism (URI). Users describe their diagnostic including references, text descriptions, units, labels, example data instances, author contact information and data access URIs. The list of possible attribute labels is extensible, but limiting the vocabulary of names increases the utility of the system. The data catalog is focused on the data products and complements process-based systems like the Metadata Ontology Provenance project [Greenwald, 2012; Schissel, 2015]. This system can be coupled with MDSplus to provide a simple platform for data driven display and analysis programs. Sites which use MDSplus can describe tree branches, and if desired create ‘processed data trees’ with homogeneous node structures for measurements. Sites not currently using MDSplus can either use the database to reference local data stores, or construct an MDSplus tree whose leaves reference the local data store. A data catalog system can provide a useful roadmap of data acquired from experiments or simulations making it easier for researchers to find and access important data and understand the meaning of the

  20. ncISO Facilitating Metadata and Scientific Data Discovery

    Science.gov (United States)

    Neufeld, D.; Habermann, T.

    2011-12-01

    Increasing the usability and availability climate and oceanographic datasets for environmental research requires improved metadata and tools to rapidly locate and access relevant information for an area of interest. Because of the distributed nature of most environmental geospatial data, a common approach is to use catalog services that support queries on metadata harvested from remote map and data services. A key component to effectively using these catalog services is the availability of high quality metadata associated with the underlying data sets. In this presentation, we examine the use of ncISO, and Geoportal as open source tools that can be used to document and facilitate access to ocean and climate data available from Thematic Realtime Environmental Distributed Data Services (THREDDS) data services. Many atmospheric and oceanographic spatial data sets are stored in the Network Common Data Format (netCDF) and served through the Unidata THREDDS Data Server (TDS). NetCDF and THREDDS are becoming increasingly accepted in both the scientific and geographic research communities as demonstrated by the recent adoption of netCDF as an Open Geospatial Consortium (OGC) standard. One important source for ocean and atmospheric based data sets is NOAA's Unified Access Framework (UAF) which serves over 3000 gridded data sets from across NOAA and NOAA-affiliated partners. Due to the large number of datasets, browsing the data holdings to locate data is impractical. Working with Unidata, we have created a new service for the TDS called "ncISO", which allows automatic generation of ISO 19115-2 metadata from attributes and variables in TDS datasets. The ncISO metadata records can be harvested by catalog services such as ESSI-labs GI-Cat catalog service, and ESRI's Geoportal which supports query through a number of services, including OpenSearch and Catalog Services for the Web (CSW). ESRI's Geoportal Server provides a number of user friendly search capabilities for end users

  1. Pragmatic Metadata Management for Integration into Multiple Spatial Data Infrastructure Systems and Platforms

    Science.gov (United States)

    Benedict, K. K.; Scott, S.

    2013-12-01

    While there has been a convergence towards a limited number of standards for representing knowledge (metadata) about geospatial (and other) data objects and collections, there exist a variety of community conventions around the specific use of those standards and within specific data discovery and access systems. This combination of limited (but multiple) standards and conventions creates a challenge for system developers that aspire to participate in multiple data infrastrucutres, each of which may use a different combination of standards and conventions. While Extensible Markup Language (XML) is a shared standard for encoding most metadata, traditional direct XML transformations (XSLT) from one standard to another often result in an imperfect transfer of information due to incomplete mapping from one standard's content model to another. This paper presents the work at the University of New Mexico's Earth Data Analysis Center (EDAC) in which a unified data and metadata management system has been developed in support of the storage, discovery and access of heterogeneous data products. This system, the Geographic Storage, Transformation and Retrieval Engine (GSTORE) platform has adopted a polyglot database model in which a combination of relational and document-based databases are used to store both data and metadata, with some metadata stored in a custom XML schema designed as a superset of the requirements for multiple target metadata standards: ISO 19115-2/19139/19110/19119, FGCD CSDGM (both with and without remote sensing extensions) and Dublin Core. Metadata stored within this schema is complemented by additional service, format and publisher information that is dynamically "injected" into produced metadata documents when they are requested from the system. While mapping from the underlying common metadata schema is relatively straightforward, the generation of valid metadata within each target standard is necessary but not sufficient for integration into

  2. Meteorological Factors Affecting Evaporation Duct Height Climatologies.

    Science.gov (United States)

    1980-07-01

    Italy Maritime Meteorology Division Japan Meteorological Agency Ote-Machi 1-3-4 Chiyoda-Ku Tokyo, Japan Instituto De Geofisica U.N.A.M. Biblioteca ...Torre De Ciencias, 3ER Piso Ciudad Universitaria Mexico 20, D.F. Koninklijk Nederlands Meteorologisch Instituu. Postbus 201 3730 AE Debilt Netherlands

  3. Lloyd Berkner: Catalyst for Meteorology's Fabulous Fifties

    Science.gov (United States)

    Lewis, J. M.

    2002-05-01

    In the long sweep of meteorological history - from Aristotle's Meteorologica to the threshold of the third millennium - the 1950s will surely be recognized as a defining decade. The contributions of many individuals were responsible for the combination of vision and institution building that marked this decade and set the stage for explosive development during the subsequent forty years. In the minds of many individuals who were active during those early years, however, one name stands out as a prime mover par excellence: Lloyd Viel Berkner. On May 1, 1957, Berkner addressed the National Press Club. The address was entitled, "Horizons of Meteorology". It reveals Berkner's insights into meteorology from his position as Chairman of the Committee on Meteorology of the National Academy of Sciences, soon to release the path-breaking report, Research and Education in Meteorology (1958). The address also reflects the viewpoint of an individual deeply involved in the International Geophysical Year (IGY). It is an important footnote to meteorological history. We welcome this opportunity to profile Berkner and to discuss "Horizons of Meteorology" in light of meteorology's state-of-affairs in the 1950s and the possible relevance to Berkner's ideas to contemporary issues.

  4. A Transparently-Scalable Metadata Service for the Ursa Minor Storage System

    Science.gov (United States)

    2010-06-25

    Software Engineering Institute,Pittsburgh,PA,15213 8. PERFORMING ORGANIZATION REPORT NUMBER 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10...metadata server for metadata activity and to discover the locations of data. They then access data directly at the appropriate data servers. Metadata...necessary for Section 4.4. Second, we doubled the warmup time for each run to 10 minutes to ensure the measured portion of the run did not benefit from

  5. DESIGN AND PRACTICE ON METADATA SERVICE SYSTEM OF SURVEYING AND MAPPING RESULTS BASED ON GEONETWORK

    Directory of Open Access Journals (Sweden)

    Z. Zha

    2012-08-01

    Full Text Available Based on the analysis and research on the current geographic information sharing and metadata service,we design, develop and deploy a distributed metadata service system based on GeoNetwork covering more than 30 nodes in provincial units of China.. By identifying the advantages of GeoNetwork, we design a distributed metadata service system of national surveying and mapping results. It consists of 31 network nodes, a central node and a portal. Network nodes are the direct system metadata source, and are distributed arround the country. Each network node maintains a metadata service system, responsible for metadata uploading and management. The central node harvests metadata from network nodes using OGC CSW 2.0.2 standard interface. The portal shows all metadata in the central node, provides users with a variety of methods and interface for metadata search or querying. It also provides management capabilities on connecting the central node and the network nodes together. There are defects with GeoNetwork too. Accordingly, we made improvement and optimization on big-amount metadata uploading, synchronization and concurrent access. For metadata uploading and synchronization, by carefully analysis the database and index operation logs, we successfully avoid the performance bottlenecks. And with a batch operation and dynamic memory management solution, data throughput and system performance are significantly improved; For concurrent access, , through a request coding and results cache solution, query performance is greatly improved. To smoothly respond to huge concurrent requests, a web cluster solution is deployed. This paper also gives an experiment analysis and compares the system performance before and after improvement and optimization. Design and practical results have been applied in national metadata service system of surveying and mapping results. It proved that the improved GeoNetwork service architecture can effectively adaptive for

  6. Improving Access to NASA Earth Science Data through Collaborative Metadata Curation

    Science.gov (United States)

    Sisco, A. W.; Bugbee, K.; Shum, D.; Baynes, K.; Dixon, V.; Ramachandran, R.

    2017-12-01

    The NASA-developed Common Metadata Repository (CMR) is a high-performance metadata system that currently catalogs over 375 million Earth science metadata records. It serves as the authoritative metadata management system of NASA's Earth Observing System Data and Information System (EOSDIS), enabling NASA Earth science data to be discovered and accessed by a worldwide user community. The size of the EOSDIS data archive is steadily increasing, and the ability to manage and query this archive depends on the input of high quality metadata to the CMR. Metadata that does not provide adequate descriptive information diminishes the CMR's ability to effectively find and serve data to users. To address this issue, an innovative and collaborative review process is underway to systematically improve the completeness, consistency, and accuracy of metadata for approximately 7,000 data sets archived by NASA's twelve EOSDIS data centers, or Distributed Active Archive Centers (DAACs). The process involves automated and manual metadata assessment of both collection and granule records by a team of Earth science data specialists at NASA Marshall Space Flight Center. The team communicates results to DAAC personnel, who then make revisions and reingest improved metadata into the CMR. Implementation of this process relies on a network of interdisciplinary collaborators leveraging a variety of communication platforms and long-range planning strategies. Curating metadata at this scale and resolving metadata issues through community consensus improves the CMR's ability to serve current and future users and also introduces best practices for stewarding the next generation of Earth Observing System data. This presentation will detail the metadata curation process, its outcomes thus far, and also share the status of ongoing curation activities.

  7. An Assessment of the Evolving Common Metadata Repository Standards for Airborne Field Campaigns

    Science.gov (United States)

    Northup, E. A.; Chen, G.; Early, A. B.; Beach, A. L., III; Walter, J.; Conover, H.

    2016-12-01

    The NASA Earth Venture Program has led to a dramatic increase in airborne observations, requiring updated data management practices with clearly defined data standards and protocols for metadata. While the current data management practices demonstrate some success in serving airborne science team data user needs, existing metadata models and standards such as NASA's Unified Metadata Model (UMM) for Collections (UMM-C) present challenges with respect to accommodating certain features of airborne science metadata. UMM is the model implemented in the Common Metadata Repository (CMR), which catalogs all metadata records for NASA's Earth Observing System Data and Information System (EOSDIS). One example of these challenges is with representation of spatial and temporal metadata. In addition, many airborne missions target a particular geophysical event, such as a developing hurricane. In such cases, metadata about the event is also important for understanding the data. While coverage of satellite missions is highly predictable based on orbit characteristics, airborne missions feature complicated flight patterns where measurements can be spatially and temporally discontinuous. Therefore, existing metadata models will need to be expanded for airborne measurements and sampling strategies. An Airborne Metadata Working Group was established under the auspices of NASA's Earth Science Data Systems Working Group (ESDSWG) to identify specific features of airborne metadata that can not be currently represented in the UMM and to develop new recommendations. The group includes representation from airborne data users and providers. This presentation will discuss the challenges and recommendations in an effort to demonstrate how airborne metadata curation/management can be improved to streamline data ingest and discoverability to a broader user community.

  8. Making Information Visible, Accessible, and Understandable: Meta-Data and Registries

    National Research Council Canada - National Science Library

    Robinson, Clay

    2007-01-01

    .... Expanded use of metadata leads to better-informed decision making, improved management of information, increased return on investment for digital asset production and publishing, improved security...

  9. Improving Scientific Metadata Interoperability And Data Discoverability using OAI-PMH

    Science.gov (United States)

    Devarakonda, Ranjeet; Palanisamy, Giri; Green, James M.; Wilson, Bruce E.

    2010-12-01

    While general-purpose search engines (such as Google or Bing) are useful for finding many things on the Internet, they are often of limited usefulness for locating Earth Science data relevant (for example) to a specific spatiotemporal extent. By contrast, tools that search repositories of structured metadata can locate relevant datasets with fairly high precision, but the search is limited to that particular repository. Federated searches (such as Z39.50) have been used, but can be slow and the comprehensiveness can be limited by downtime in any search partner. An alternative approach to improve comprehensiveness is for a repository to harvest metadata from other repositories, possibly with limits based on subject matter or access permissions. Searches through harvested metadata can be extremely responsive, and the search tool can be customized with semantic augmentation appropriate to the community of practice being served. However, there are a number of different protocols for harvesting metadata, with some challenges for ensuring that updates are propagated and for collaborations with repositories using differing metadata standards. The Open Archive Initiative Protocol for Metadata Handling (OAI-PMH) is a standard that is seeing increased use as a means for exchanging structured metadata. OAI-PMH implementations must support Dublin Core as a metadata standard, with other metadata formats as optional. We have developed tools which enable our structured search tool (Mercury; http://mercury.ornl.gov) to consume metadata from OAI-PMH services in any of the metadata formats we support (Dublin Core, Darwin Core, FCDC CSDGM, GCMD DIF, EML, and ISO 19115/19137). We are also making ORNL DAAC metadata available through OAI-PMH for other metadata tools to utilize, such as the NASA Global Change Master Directory, GCMD). This paper describes Mercury capabilities with multiple metadata formats, in general, and, more specifically, the results of our OAI-PMH implementations and

  10. Defense Virtual Library: Technical Metadata for the Long-Term Management of Digital Materials: Preliminary Guidelines

    National Research Council Canada - National Science Library

    Flynn, Marcy

    2002-01-01

    ... of the digital materials being preserved. This report, prepared by Silver Image Management (SIM), proposes technical metadata elements appropriate for digital objects in the Defense Virtual Library...

  11. Studies of Big Data metadata segmentation between relational and non-relational databases

    Science.gov (United States)

    Golosova, M. V.; Grigorieva, M. A.; Klimentov, A. A.; Ryabinkin, E. A.; Dimitrov, G.; Potekhin, M.

    2015-12-01

    In recent years the concepts of Big Data became well established in IT. Systems managing large data volumes produce metadata that describe data and workflows. These metadata are used to obtain information about current system state and for statistical and trend analysis of the processes these systems drive. Over the time the amount of the stored metadata can grow dramatically. In this article we present our studies to demonstrate how metadata storage scalability and performance can be improved by using hybrid RDBMS/NoSQL architecture.

  12. Studies of Big Data metadata segmentation between relational and non-relational databases

    CERN Document Server

    Golosova, M V; Klimentov, A A; Ryabinkin, E A; Dimitrov, G; Potekhin, M

    2015-01-01

    In recent years the concepts of Big Data became well established in IT. Systems managing large data volumes produce metadata that describe data and workflows. These metadata are used to obtain information about current system state and for statistical and trend analysis of the processes these systems drive. Over the time the amount of the stored metadata can grow dramatically. In this article we present our studies to demonstrate how metadata storage scalability and performance can be improved by using hybrid RDBMS/NoSQL architecture.

  13. A Shared Infrastructure for Federated Search Across Distributed Scientific Metadata Catalogs

    Science.gov (United States)

    Reed, S. A.; Truslove, I.; Billingsley, B. W.; Grauch, A.; Harper, D.; Kovarik, J.; Lopez, L.; Liu, M.; Brandt, M.

    2013-12-01

    The vast amount of science metadata can be overwhelming and highly complex. Comprehensive analysis and sharing of metadata is difficult since institutions often publish to their own repositories. There are many disjoint standards used for publishing scientific data, making it difficult to discover and share information from different sources. Services that publish metadata catalogs often have different protocols, formats, and semantics. The research community is limited by the exclusivity of separate metadata catalogs and thus it is desirable to have federated search interfaces capable of unified search queries across multiple sources. Aggregation of metadata catalogs also enables users to critique metadata more rigorously. With these motivations in mind, the National Snow and Ice Data Center (NSIDC) and Advanced Cooperative Arctic Data and Information Service (ACADIS) implemented two search interfaces for the community. Both the NSIDC Search and ACADIS Arctic Data Explorer (ADE) use a common infrastructure which keeps maintenance costs low. The search clients are designed to make OpenSearch requests against Solr, an Open Source search platform. Solr applies indexes to specific fields of the metadata which in this instance optimizes queries containing keywords, spatial bounds and temporal ranges. NSIDC metadata is reused by both search interfaces but the ADE also brokers additional sources. Users can quickly find relevant metadata with minimal effort and ultimately lowers costs for research. This presentation will highlight the reuse of data and code between NSIDC and ACADIS, discuss challenges and milestones for each project, and will identify creation and use of Open Source libraries.

  14. The Theory and Implementation for Metadata in Digital Library/Museum

    Directory of Open Access Journals (Sweden)

    Hsueh-hua Chen

    1998-12-01

    Full Text Available Digital Libraries and Museums (DL/M have become one of the important research issues of Library and Information Science as well as other related fields. This paper describes the basic concepts of DL/M and briefly introduces the development of Taiwan Digital Museum Project. Based on the features of various collections, wediscuss how to maintain, to manage and to exchange metadata, especially from the viewpoint of users. We propose the draft of metadata, MICI (Metadata Interchange for Chinese Information , developed by ROSS (Resources Organization and SearchingSpecification team. Finally, current problems and future development of metadata will be touched.[Article content in Chinese

  15. Meteorological determinants of air quality

    Science.gov (United States)

    Turoldo, F.; Del Frate, S.; Gallai, I.; Giaiotti, D. B.; Montanari, F.; Stel, F.; Goi, D.

    2010-09-01

    Air quality is the result of complex phenomena, among which the major role is played by human emissions of pollutants. Atmospheric processes act as determinants, e.g., modulating, dumping or amplifying the effects of emissions as an orchestra's director does with musical instruments. In this work, a series of small-scale and meso-scale meteorological determinants of air-quality are presented as they are observed in an area characterized by complex orography (Friuli Venezia Giulia, in the north-eastern side of Italy). In particular, attention is devoted to: i) meso-scale flows favouring the persistence of high concentrations of particulate matter; ii) meso-scale periodic flows (breezes) favouring high values of particulate matter; iii) local-scale thermodynamic behaviour favouring high atmospheric values of nitrogen oxides. The effects of these different classes of determinants are shown through comparisons between anthropic emissions (mainly traffic) and ground-based measurements. The relevance of complex orography (relatively steep relieves near to the sea) is shown for the meso-scale flows and, in particular, for local-scale periodic flows, which favour the increase of high pollutants concentrations mainly in summer, when the breezes regime is particularly relevant. Part of these results have been achieved through the ETS - Alpine Space EU project iMONITRAF!

  16. Capturing Sensor Metadata for Cross-Domain Interoperability

    Science.gov (United States)

    Fredericks, J.

    2015-12-01

    Envision a world where a field operator turns on an instrument, and is queried for information needed to create standardized encoded descriptions that, together with the sensor manufacturer knowledge, fully describe the capabilities, limitations and provenance of observational data. The Cross-Domain Observational Metadata Environmental Sensing Network (X-DOMES) pilot project (with support from the NSF/EarthCube IA) is taking the first steps needed in realizing this vision. The knowledge of how an observable physical property becomes a measured observation must be captured at each stage of its creation. Each sensor-based observation is made through the use of applied technologies, each with specific limitations and capabilities. Environmental sensors typically provide a variety of options that can be configured differently for each unique deployment, affecting the observational results. By capturing the information (metadata) at each stage of its generation, a more complete and accurate description of data provenance can be communicated. By documenting the information in machine-harvestable, standards-based encodings, metadata can be shared across disciplinary and geopolitical boundaries. Using standards-based frameworks enables automated harvesting and translation to other community-adopted standards, which facilitates the use of shared tools and workflows. The establishment of a cross-domain network of stakeholders (sensor manufacturers, data providers, domain experts, data centers), called the X-DOMES Network, provides a unifying voice for the specification of content and implementation of standards, as well as a central repository for sensor profiles, vocabularies, guidance and product vetting. The ability to easily share fully described observational data provides a better understanding of data provenance and enables the use of common data processing and assessment workflows, fostering a greater trust in our shared global resources. The X-DOMES Network

  17. Standardized metadata for human pathogen/vector genomic sequences.

    Directory of Open Access Journals (Sweden)

    Vivien G Dugan

    Full Text Available High throughput sequencing has accelerated the determination of genome sequences for thousands of human infectious disease pathogens and dozens of their vectors. The scale and scope of these data are enabling genotype-phenotype association studies to identify genetic determinants of pathogen virulence and drug/insecticide resistance, and phylogenetic studies to track the origin and spread of disease outbreaks. To maximize the utility of genomic sequences for these purposes, it is essential that metadata about the pathogen/vector isolate characteristics be collected and made available in organized, clear, and consistent formats. Here we report the development of the GSCID/BRC Project and Sample Application Standard, developed by representatives of the Genome Sequencing Centers for Infectious Diseases (GSCIDs, the Bioinformatics Resource Centers (BRCs for Infectious Diseases, and the U.S. National Institute of Allergy and Infectious Diseases (NIAID, part of the National Institutes of Health (NIH, informed by interactions with numerous collaborating scientists. It includes mapping to terms from other data standards initiatives, including the Genomic Standards Consortium's minimal information (MIxS and NCBI's BioSample/BioProjects checklists and the Ontology for Biomedical Investigations (OBI. The standard includes data fields about characteristics of the organism or environmental source of the specimen, spatial-temporal information about the specimen isolation event, phenotypic characteristics of the pathogen/vector isolated, and project leadership and support. By modeling metadata fields into an ontology-based semantic framework and reusing existing ontologies and minimum information checklists, the application standard can be extended to support additional project-specific data fields and integrated with other data represented with comparable standards. The use of this metadata standard by all ongoing and future GSCID sequencing projects will

  18. Revision of IRIS/IDA Seismic Station Metadata

    Science.gov (United States)

    Xu, W.; Davis, P.; Auerbach, D.; Klimczak, E.

    2017-12-01

    Trustworthy data quality assurance has always been one of the goals of seismic network operators and data management centers. This task is considerably complex and evolving due to the huge quantities as well as the rapidly changing characteristics and complexities of seismic data. Published metadata usually reflect instrument response characteristics and their accuracies, which includes zero frequency sensitivity for both seismometer and data logger as well as other, frequency-dependent elements. In this work, we are mainly focused studying the variation of the seismometer sensitivity with time of IRIS/IDA seismic recording systems with a goal to improve the metadata accuracy for the history of the network. There are several ways to measure the accuracy of seismometer sensitivity for the seismic stations in service. An effective practice recently developed is to collocate a reference seismometer in proximity to verify the in-situ sensors' calibration. For those stations with a secondary broadband seismometer, IRIS' MUSTANG metric computation system introduced a transfer function metric to reflect two sensors' gain ratios in the microseism frequency band. In addition, a simulation approach based on M2 tidal measurements has been proposed and proven to be effective. In this work, we compare and analyze the results from three different methods, and concluded that the collocated-sensor method is most stable and reliable with the minimum uncertainties all the time. However, for epochs without both the collocated sensor and secondary seismometer, we rely on the analysis results from tide method. For the data since 1992 on IDA stations, we computed over 600 revised seismometer sensitivities for all the IRIS/IDA network calibration epochs. Hopefully further revision procedures will help to guarantee that the data is accurately reflected by the metadata of these stations.

  19. Twenty-first century metadata operations challenges, opportunities, directions

    CERN Document Server

    Lee Eden, Bradford

    2014-01-01

    It has long been apparent to academic library administrators that the current technical services operations within libraries need to be redirected and refocused in terms of both format priorities and human resources. A number of developments and directions have made this reorganization imperative, many of which have been accelerated by the current economic crisis. All of the chapters detail some aspect of technical services reorganization due to downsizing and/or reallocation of human resources, retooling professional and support staff in higher level duties and/or non-MARC metadata, ""value-a

  20. Radiological dose and metadata management; Radiologisches Dosis- und Metadatenmanagement

    Energy Technology Data Exchange (ETDEWEB)

    Walz, M.; Madsack, B. [TUeV SUeD Life Service GmbH, Aerztliche Stelle fuer Qualitaetssicherung in der Radiologie, Nuklearmedizin und Strahlentherapie Hessen, Frankfurt (Germany); Kolodziej, M. [INFINITT Europe GmbH, Frankfurt/M (Germany)

    2016-12-15

    This article describes the features of management systems currently available in Germany for extraction, registration and evaluation of metadata from radiological examinations, particularly in the digital imaging and communications in medicine (DICOM) environment. In addition, the probable relevant developments in this area concerning radiation protection legislation, terminology, standardization and information technology are presented. (orig.) [German] Dieser Artikel stellt die aktuell in Deutschland verfuegbaren Funktionen von Managementsystemen zur Erfassung und Auswertung von Metadaten zu radiologischen Untersuchungen insbesondere im DICOM-Umfeld (Digital Imaging and Communications in Medicine) vor. Ausserdem werden die in diesem Bereich voraussichtlich relevanten Entwicklungen von Strahlenschutzgesetzgebung ueber Terminologie und Standardisierung bis zu informationstechnischen Aspekten dargestellt. (orig.)

  1. Generation of Multiple Metadata Formats from a Geospatial Data Repository

    Science.gov (United States)

    Hudspeth, W. B.; Benedict, K. K.; Scott, S.

    2012-12-01

    The Earth Data Analysis Center (EDAC) at the University of New Mexico is partnering with the CYBERShARE and Environmental Health Group from the Center for Environmental Resource Management (CERM), located at the University of Texas, El Paso (UTEP), the Biodiversity Institute at the University of Kansas (KU), and the New Mexico Geo- Epidemiology Research Network (GERN) to provide a technical infrastructure that enables investigation of a variety of climate-driven human/environmental systems. Two significant goals of this NASA-funded project are: a) to increase the use of NASA Earth observational data at EDAC by various modeling communities through enabling better discovery, access, and use of relevant information, and b) to expose these communities to the benefits of provenance for improving understanding and usability of heterogeneous data sources and derived model products. To realize these goals, EDAC has leveraged the core capabilities of its Geographic Storage, Transformation, and Retrieval Engine (Gstore) platform, developed with support of the NSF EPSCoR Program. The Gstore geospatial services platform provides general purpose web services based upon the REST service model, and is capable of data discovery, access, and publication functions, metadata delivery functions, data transformation, and auto-generated OGC services for those data products that can support those services. Central to the NASA ACCESS project is the delivery of geospatial metadata in a variety of formats, including ISO 19115-2/19139, FGDC CSDGM, and the Proof Markup Language (PML). This presentation details the extraction and persistence of relevant metadata in the Gstore data store, and their transformation into multiple metadata formats that are increasingly utilized by the geospatial community to document not only core library catalog elements (e.g. title, abstract, publication data, geographic extent, projection information, and database elements), but also the processing steps used to

  2. Technical Evaluation Report 40: The International Learning Object Metadata Survey

    Directory of Open Access Journals (Sweden)

    Norm Friesen

    2004-11-01

    Full Text Available A wide range of projects and organizations is currently making digital learning resources (learning objects available to instructors, students, and designers via systematic, standards-based infrastructures. One standard that is central to many of these efforts and infrastructures is known as Learning Object Metadata (IEEE 1484.12.1-2002, or LOM. This report builds on Report #11 in this series, and discusses the findings of the author's recent study of ways in which the LOM standard is being used internationally.

  3. A Flexible Online Metadata Editing and Management System

    Energy Technology Data Exchange (ETDEWEB)

    Aguilar, Raul [Arizona State University; Pan, Jerry Yun [ORNL; Gries, Corinna [Arizona State University; Inigo, Gil San [University of New Mexico, Albuquerque; Palanisamy, Giri [ORNL

    2010-01-01

    A metadata editing and management system is being developed employing state of the art XML technologies. A modular and distributed design was chosen for scalability, flexibility, options for customizations, and the possibility to add more functionality at a later stage. The system consists of a desktop design tool or schema walker used to generate code for the actual online editor, a native XML database, and an online user access management application. The design tool is a Java Swing application that reads an XML schema, provides the designer with options to combine input fields into online forms and give the fields user friendly tags. Based on design decisions, the tool generates code for the online metadata editor. The code generated is an implementation of the XForms standard using the Orbeon Framework. The design tool fulfills two requirements: First, data entry forms based on one schema may be customized at design time and second data entry applications may be generated for any valid XML schema without relying on custom information in the schema. However, the customized information generated at design time is saved in a configuration file which may be re-used and changed again in the design tool. Future developments will add functionality to the design tool to integrate help text, tool tips, project specific keyword lists, and thesaurus services. Additional styling of the finished editor is accomplished via cascading style sheets which may be further customized and different look-and-feels may be accumulated through the community process. The customized editor produces XML files in compliance with the original schema, however, data from the current page is saved into a native XML database whenever the user moves to the next screen or pushes the save button independently of validity. Currently the system uses the open source XML database eXist for storage and management, which comes with third party online and desktop management tools. However, access to

  4. Evolution of the architecture of the ATLAS Metadata Interface (AMI)

    Science.gov (United States)

    Odier, J.; Aidel, O.; Albrand, S.; Fulachier, J.; Lambert, F.

    2015-12-01

    The ATLAS Metadata Interface (AMI) is now a mature application. Over the years, the number of users and the number of provided functions has dramatically increased. It is necessary to adapt the hardware infrastructure in a seamless way so that the quality of service re - mains high. We describe the AMI evolution since its beginning being served by a single MySQL backend database server to the current state having a cluster of virtual machines at French Tier1, an Oracle database at Lyon with complementary replication to the Oracle DB at CERN and AMI back-up server.

  5. Evolution of the Architecture of the ATLAS Metadata Interface (AMI)

    CERN Document Server

    Odier, Jerome; The ATLAS collaboration; Fulachier, Jerome; Lambert, Fabian

    2015-01-01

    The ATLAS Metadata Interface (AMI) is now a mature application. Over the years, the number of users and the number of provided functions has dramatically increased. It is necessary to adapt the hardware infrastructure in a seamless way so that the quality of service remains high. We describe the evolution from the beginning of the application life, using one server with a MySQL backend database, to the current state in which a cluster of virtual machines on the French Tier 1 cloud at Lyon, an Oracle database also at Lyon, with replication to Oracle at CERN and a back-up server are used.

  6. A Metadata based Knowledge Discovery Methodology for Seeding Translational Research.

    Science.gov (United States)

    Kothari, Cartik R; Payne, Philip R O

    2015-01-01

    In this paper, we present a semantic, metadata based knowledge discovery methodology for identifying teams of researchers from diverse backgrounds who can collaborate on interdisciplinary research projects: projects in areas that have been identified as high-impact areas at The Ohio State University. This methodology involves the semantic annotation of keywords and the postulation of semantic metrics to improve the efficiency of the path exploration algorithm as well as to rank the results. Results indicate that our methodology can discover groups of experts from diverse areas who can collaborate on translational research projects.

  7. Metadata Design in the New PDS4 Standards - Something for Everybody

    Science.gov (United States)

    Raugh, Anne C.; Hughes, John S.

    2015-11-01

    The Planetary Data System (PDS) archives, supports, and distributes data of diverse targets, from diverse sources, to diverse users. One of the core problems addressed by the PDS4 data standard redesign was that of metadata - how to accommodate the increasingly sophisticated demands of search interfaces, analytical software, and observational documentation into label standards without imposing limits and constraints that would impinge on the quality or quantity of metadata that any particular observer or team could supply. And yet, as an archive, PDS must have detailed documentation for the metadata in the labels it supports, or the institutional knowledge encoded into those attributes will be lost - putting the data at risk.The PDS4 metadata solution is based on a three-step approach. First, it is built on two key ISO standards: ISO 11179 "Information Technology - Metadata Registries", which provides a common framework and vocabulary for defining metadata attributes; and ISO 14721 "Space Data and Information Transfer Systems - Open Archival Information System (OAIS) Reference Model", which provides the framework for the information architecture that enforces the object-oriented paradigm for metadata modeling. Second, PDS has defined a hierarchical system that allows it to divide its metadata universe into namespaces ("data dictionaries", conceptually), and more importantly to delegate stewardship for a single namespace to a local authority. This means that a mission can develop its own data model with a high degree of autonomy and effectively extend the PDS model to accommodate its own metadata needs within the common ISO 11179 framework. Finally, within a single namespace - even the core PDS namespace - existing metadata structures can be extended and new structures added to the model as new needs are identifiedThis poster illustrates the PDS4 approach to metadata management and highlights the expected return on the development investment for PDS, users and data

  8. openPDS: protecting the privacy of metadata through SafeAnswers.

    Directory of Open Access Journals (Sweden)

    Yves-Alexandre de Montjoye

    Full Text Available The rise of smartphones and web services made possible the large-scale collection of personal metadata. Information about individuals' location, phone call logs, or web-searches, is collected and used intensively by organizations and big data researchers. Metadata has however yet to realize its full potential. Privacy and legal concerns, as well as the lack of technical solutions for personal metadata management is preventing metadata from being shared and reconciled under the control of the individual. This lack of access and control is furthermore fueling growing concerns, as it prevents individuals from understanding and managing the risks associated with the collection and use of their data. Our contribution is two-fold: (1 we describe openPDS, a personal metadata management framework that allows individuals to collect, store, and give fine-grained access to their metadata to third parties. It has been implemented in two field studies; (2 we introduce and analyze SafeAnswers, a new and practical way of protecting the privacy of metadata at an individual level. SafeAnswers turns a hard anonymization problem into a more tractable security one. It allows services to ask questions whose answers are calculated against the metadata instead of trying to anonymize individuals' metadata. The dimensionality of the data shared with the services is reduced from high-dimensional metadata to low-dimensional answers that are less likely to be re-identifiable and to contain sensitive information. These answers can then be directly shared individually or in aggregate. openPDS and SafeAnswers provide a new way of dynamically protecting personal metadata, thereby supporting the creation of smart data-driven services and data science research.

  9. Meteorological Data Analysis Using MapReduce

    Directory of Open Access Journals (Sweden)

    Wei Fang

    2014-01-01

    Full Text Available In the atmospheric science, the scale of meteorological data is massive and growing rapidly. K-means is a fast and available cluster algorithm which has been used in many fields. However, for the large-scale meteorological data, the traditional K-means algorithm is not capable enough to satisfy the actual application needs efficiently. This paper proposes an improved MK-means algorithm (MK-means based on MapReduce according to characteristics of large meteorological datasets. The experimental results show that MK-means has more computing ability and scalability.

  10. Description of the RDCDS Meteorological Component

    Energy Technology Data Exchange (ETDEWEB)

    Pekour, Mikhail S.; Berg, Larry K.

    2007-10-01

    This report provides a detailed description of the Rapidly Deployable Chemical Defense System (RDCDS) Meteorological Component. The Meteorological Component includes four surface meteorological stations, miniSODAR, laptop computers, and communications equipment. This report describes the equipment that is used, explains the operation of the network, and gives instructions for setting up the Component and replacing defective parts. A detailed description of operation and use of the individual sensors, including the data loggers is not covered in the current document, and the interested reader should refer to the manufacturer’s documentation.

  11. Communicating meteorology through popular music

    Science.gov (United States)

    Brown, Sally; Aplin, Karen; Jenkins, Katie; Mander, Sarah; Walsh, Claire; Williams, Paul

    2015-04-01

    Previous studies of weather-inspired classical music showed that all forms of music (as well as visual arts and literature) reflect the significance of the environment in society. Here we quantify the extent to which weather has inspired popular musicians, and how weather is represented in English-language pop music. Our work is in press at Weather. Over 750 songs have been identified which were found to refer to meteorological phenomena, mainly in their lyrics, but also in the title of the song, name of the band or songwriter and occasionally in the song's music or sound effects. Over one third of the songs analysed referred to either sun or rain, out of a possible 20 weather categories. It was found that artists use weather to describe emotion, for example, to mirror the changes in a relationship. In this context, rain was broadly seen negatively, and might be used to signify the end of a relationship. Rain could also be perceived in a positive way, such as in songs from more agricultural communities. Wind was the next most common weather phenomenon, but did not represent emotions as much as sun or rain. However, it was the most frequently represented weather type in the music itself, such as in instrumental effects, or non-verbally in choruses. From the limited evidence available, we found that artists were often inspired by a single weather event in writing lyrics, whereas the outcomes were less clearly identifiable from longer periods of good or bad weather. Some artists were influenced more by their environment than others, but they were often inspired to write many songs about their surroundings as part of every-day life, rather than weather in particular. Popular singers and songwriters can therefore emotionally connect their listeners to the environment; this could be exploited to communicate environmental science to a broad audience.

  12. Inversion of GPS meteorology data

    Directory of Open Access Journals (Sweden)

    K. Hocke

    Full Text Available The GPS meteorology (GPS/MET experiment, led by the Universities Corporation for Atmospheric Research (UCAR, consists of a GPS receiver aboard a low earth orbit (LEO satellite which was launched on 3 April 1995. During a radio occultation the LEO satellite rises or sets relative to one of the 24 GPS satellites at the Earth's horizon. Thereby the atmospheric layers are successively sounded by radio waves which propagate from the GPS satellite to the LEO satellite. From the observed phase path increases, which are due to refraction of the radio waves by the ionosphere and the neutral atmosphere, the atmospheric parameter refractivity, density, pressure and temperature are calculated with high accuracy and resolution (0.5–1.5 km. In the present study, practical aspects of the GPS/MET data analysis are discussed. The retrieval is based on the Abelian integral inversion of the atmospheric bending angle profile into the refractivity index profile. The problem of the upper boundary condition of the Abelian integral is described by examples. The statistical optimization approach which is applied to the data above 40 km and the use of topside bending angle profiles from model atmospheres stabilize the inversion. The retrieved temperature profiles are compared with corresponding profiles which have already been calculated by scientists of UCAR and Jet Propulsion Laboratory (JPL, using Abelian integral inversion too. The comparison shows that in some cases large differences occur (5 K and more. This is probably due to different treatment of the upper boundary condition, data runaways and noise. Several temperature profiles with wavelike structures at tropospheric and stratospheric heights are shown. While the periodic structures at upper stratospheric heights could be caused by residual errors of the ionospheric correction method, the periodic temperature fluctuations at heights below 30 km are most likely caused by atmospheric waves (vertically

  13. Modern history of meteorological services with pictures for a century

    International Nuclear Information System (INIS)

    2004-07-01

    This book deals with modern history of meteorological services with pictures for a century. It is divided into twelve chapters, which mention meteorological services before the Joseon Dynasty period, meteorological observation about surface weather observation, aero logical observation, meteorological satellite, seismometry, observation on yellow dust, and observation on the falling of thunderbolt, weather forecast, meteorological telecommunication, education for weather, research for weather, promotion on weather, international cooperation, main events, special aid on meteorological services, meteorological disaster and the list of the offices for meteorological services.

  14. Atmospheric Model Evaluation Tool for meteorological and air quality simulations

    Science.gov (United States)

    The Atmospheric Model Evaluation Tool compares model predictions to observed data from various meteorological and air quality observation networks to help evaluate meteorological and air quality simulations.

  15. Interim report on the meteorological database

    International Nuclear Information System (INIS)

    Stage, S.A.; Ramsdell, J.V.; Simonen, C.A.; Burk, K.W.

    1993-01-01

    The Hanford Environmental Dose Reconstruction (HEDR) Project is estimating radiation doses that individuals may have received from operations at Hanford from 1944 to the present. An independent Technical Steering Panel (TSP) directs the project, which is being conducted by the Battelle, Pacific Northwest Laboratories in Richland, Washington. The goals of HEDR, as approved by the TSP, include dose estimates and determination of confidence ranges for these estimates. This letter report describes the current status of the meteorological database. The report defines the meteorological data available for use in climate model calculations, describes the data collection procedures and the preparation and control of the meteorological database. This report also provides an initial assessment of the data quality. The available meteorological data are adequate for atmospheric calculations. Initial checks of the data indicate the data entry accuracy meets the data quality objectives

  16. A marine meteorological data acquisition system

    Digital Repository Service at National Institute of Oceanography (India)

    Desai, R.G.P.; Desa, E.; Vithayathil, G.

    A marine meteorological data acquisition system has been developed for long term unattended measurements at remote coastal sites, ocean surface platforms and for use on board research vessels. The system has an open and modular configuration...

  17. CLPX-Ground: ISA Main Meteorological Data

    Data.gov (United States)

    National Aeronautics and Space Administration — This data set contains meteorological observations at ten sites throughout the Small Regional Study Area (SRSA) of the Cold Land Processes Field Experiment (CLPX) in...

  18. Index of Meteorological Observations Publication (Before 1890)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Index of meteorological observations in the United States made prior to January 1, 1890, organized by state. Includes station name, coordinates, elevation, period of...

  19. NDBC Standard Meteorological Buoy Data, 1970-present

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The National Data Buoy Center (NDBC) distributes meteorological data from moored buoys maintained by NDBC and others. Moored buoys are the weather sentinels of the...

  20. Ionospheric irregularities in periods of meteorological disturbances

    Science.gov (United States)

    Borchevkina, O. P.; Karpov, I. V.

    2017-09-01

    The results of observations of the total electron content (TEC) in periods of storm disturbances of meteorological situation are presented in the paper. The observational results have shown that a passage of a meteorological storm is accompanied by a substantial decrease in values of TEC and critical frequencies of the ionospheric F2 region. The decreases in values of these ionospheric parameters reach 50% and up to 30% in TEC and critical frequency of the F2 layer, respectively, as compared to meteorologically quiet days. Based on qualitative analysis, it is found that the processes related to formation of local regions of thermospheric heating due to a dissipation of AGW coming into the upper atmosphere from the region of the meteorological disturbance in the lower atmosphere are a possible cause of these ionospheric disturbances.

  1. Journal of Meteorology and Climate Science: Contact

    African Journals Online (AJOL)

    Principal Contact. Dr. K.O Ogunjobi Editor-in-Chief Federal University of Technology, Akure (FUTA) Department of Meteorology Federal University of Technology Akure, Ondo State Nigeria Phone: +234-7031145866. Email: jobik2000@yahoo.com ...

  2. DataNet: A flexible metadata overlay over file resources

    CERN Multimedia

    CERN. Geneva

    2014-01-01

    Managing and sharing data stored in files results in a challenge due to data amounts produced by various scientific experiments [1]. While solutions such as Globus Online [2] focus on file transfer and synchronization, in this work we propose an additional layer of metadata over file resources which helps to categorize and structure the data, as well as to make it efficient in integration with web-based research gateways. A basic concept of the proposed solution [3] is a data model consisting of entities built from primitive types such as numbers, texts and also from files and relationships among different entities. This allows for building complex data structure definitions and mix metadata and file data into a single model tailored for a given scientific field. A data model becomes actionable after being deployed as a data repository which is done automatically by the proposed framework by using one of the available PaaS (platform-as-a-service) platforms and is exposed to the world as a REST service, which...

  3. ARIADNE: a tracking system for relationships in LHCb metadata

    International Nuclear Information System (INIS)

    Shapoval, I; Clemencic, M; Cattaneo, M

    2014-01-01

    The data processing model of the LHCb experiment implies handling of an evolving set of heterogeneous metadata entities and relationships between them. The entities range from software and databases states to architecture specificators and software/data deployment locations. For instance, there is an important relationship between the LHCb Conditions Database (CondDB), which provides versioned, time dependent geometry and conditions data, and the LHCb software, which is the data processing applications (used for simulation, high level triggering, reconstruction and analysis of physics data). The evolution of CondDB and of the LHCb applications is a weakly-homomorphic process. It means that relationships between a CondDB state and LHCb application state may not be preserved across different database and application generations. These issues may lead to various kinds of problems in the LHCb production, varying from unexpected application crashes to incorrect data processing results. In this paper we present Ariadne – a generic metadata relationships tracking system based on the novel NoSQL Neo4j graph database. Its aim is to track and analyze many thousands of evolving relationships for cases such as the one described above, and several others, which would otherwise remain unmanaged and potentially harmful. The highlights of the paper include the system's implementation and management details, infrastructure needed for running it, security issues, first experience of usage in the LHCb production and potential of the system to be applied to a wider set of LHCb tasks.

  4. ARIADNE: a Tracking System for Relationships in LHCb Metadata

    Science.gov (United States)

    Shapoval, I.; Clemencic, M.; Cattaneo, M.

    2014-06-01

    The data processing model of the LHCb experiment implies handling of an evolving set of heterogeneous metadata entities and relationships between them. The entities range from software and databases states to architecture specificators and software/data deployment locations. For instance, there is an important relationship between the LHCb Conditions Database (CondDB), which provides versioned, time dependent geometry and conditions data, and the LHCb software, which is the data processing applications (used for simulation, high level triggering, reconstruction and analysis of physics data). The evolution of CondDB and of the LHCb applications is a weakly-homomorphic process. It means that relationships between a CondDB state and LHCb application state may not be preserved across different database and application generations. These issues may lead to various kinds of problems in the LHCb production, varying from unexpected application crashes to incorrect data processing results. In this paper we present Ariadne - a generic metadata relationships tracking system based on the novel NoSQL Neo4j graph database. Its aim is to track and analyze many thousands of evolving relationships for cases such as the one described above, and several others, which would otherwise remain unmanaged and potentially harmful. The highlights of the paper include the system's implementation and management details, infrastructure needed for running it, security issues, first experience of usage in the LHCb production and potential of the system to be applied to a wider set of LHCb tasks.

  5. Metadata in Multiple Dialects and the Rosetta Stone

    Science.gov (United States)

    Habermann, T.; Monteleone, K.; Armstrong, E. M.; White, B.

    2012-12-01

    As data are shared across multiple communities and re-used in unexpected ways, it is critical to be able to share metadata about who collected and stewarded the data; where the data are available; how the data were collected and processed; and, how they were used in the past. It is even more critical that the new tools can access this information and present it in ways that new users can understand and, if necessary, integrate into their analyses. Unfortunately, as communities develop and use conventions for these metadata, it becomes more and more difficult to share them across community boundaries. This is true even though these conventions are really dialects of a common documentation language that share many important concepts. Breaking down these barriers requires developing community consensus about these concepts and tools for translating between common representations. Ontologies and connections between them have been used to address this problem across datasets from multiple disciplines. Can these tools help solve similar problems with documentation?

  6. Event metadata records as a testbed for scalable data mining

    International Nuclear Information System (INIS)

    Gemmeren, P van; Malon, D

    2010-01-01

    At a data rate of 200 hertz, event metadata records ('TAGs,' in ATLAS parlance) provide fertile grounds for development and evaluation of tools for scalable data mining. It is easy, of course, to apply HEP-specific selection or classification rules to event records and to label such an exercise 'data mining,' but our interest is different. Advanced statistical methods and tools such as classification, association rule mining, and cluster analysis are common outside the high energy physics community. These tools can prove useful, not for discovery physics, but for learning about our data, our detector, and our software. A fixed and relatively simple schema makes TAG export to other storage technologies such as HDF5 straightforward. This simplifies the task of exploiting very-large-scale parallel platforms such as Argonne National Laboratory's BlueGene/P, currently the largest supercomputer in the world for open science, in the development of scalable tools for data mining. Using a domain-neutral scientific data format may also enable us to take advantage of existing data mining components from other communities. There is, further, a substantial literature on the topic of one-pass algorithms and stream mining techniques, and such tools may be inserted naturally at various points in the event data processing and distribution chain. This paper describes early experience with event metadata records from ATLAS simulation and commissioning as a testbed for scalable data mining tool development and evaluation.

  7. Metadata In, Library Out. A Simple, Robust Digital Library System

    Directory of Open Access Journals (Sweden)

    Tonio Loewald

    2010-06-01

    Full Text Available Tired of being held hostage to expensive systems that did not meet our needs, the University of Alabama Libraries developed an XML schema-agnostic, light-weight digital library delivery system based on the principles of "Keep It Simple, Stupid!" Metadata and derivatives reside in openly accessible web directories, which support the development of web agents and new usability software, as well as modification and complete retrieval at any time. The file name structure is echoed in the file system structure, enabling the delivery software to make inferences about relationships, sequencing, and complex object structure without having to encapsulate files in complex metadata schemas. The web delivery system, Acumen, is built of PHP, JSON, JavaScript and HTML5, using MySQL to support fielded searching. Recognizing that spreadsheets are more user-friendly than XML, an accompanying widget, Archivists Utility, transforms spreadsheets into MODS based on rules selected by the user. Acumen, Archivists Utility, and all supporting software scripts will be made available as open source.

  8. All rights reserved

    African Journals Online (AJOL)

    ADOWIE PERE

    atmosphere. For this reason, man has always explored means of measuring different parameters of the weather. With the advancement in technology, new methods and equipment have been developed to measure, collect and monitor weather information and today a whole field of study called meteorology is dedicated to it ...

  9. iLOG: A Framework for Automatic Annotation of Learning Objects with Empirical Usage Metadata

    Science.gov (United States)

    Miller, L. D.; Soh, Leen-Kiat; Samal, Ashok; Nugent, Gwen

    2012-01-01

    Learning objects (LOs) are digital or non-digital entities used for learning, education or training commonly stored in repositories searchable by their associated metadata. Unfortunately, based on the current standards, such metadata is often missing or incorrectly entered making search difficult or impossible. In this paper, we investigate…

  10. An Assistant for Loading Learning Object Metadata: An Ontology Based Approach

    Science.gov (United States)

    Casali, Ana; Deco, Claudia; Romano, Agustín; Tomé, Guillermo

    2013-01-01

    In the last years, the development of different Repositories of Learning Objects has been increased. Users can retrieve these resources for reuse and personalization through searches in web repositories. The importance of high quality metadata is key for a successful retrieval. Learning Objects are described with metadata usually in the standard…

  11. Document Classification in Support of Automated Metadata Extraction Form Heterogeneous Collections

    Science.gov (United States)

    Flynn, Paul K.

    2014-01-01

    A number of federal agencies, universities, laboratories, and companies are placing their documents online and making them searchable via metadata fields such as author, title, and publishing organization. To enable this, every document in the collection must be catalogued using the metadata fields. Though time consuming, the task of identifying…

  12. The potential of metadata for linked open data and its value for users and publishers

    NARCIS (Netherlands)

    Zuiderwijk, A.M.G.; Jeffery, K.G.; Janssen, M.F.W.H.A.

    2012-01-01

    Public and private organizations increasingly release their data to gain benefits such as transparency and economic growth. The use of these open data can be supported and stimulated by providing considerable metadata (data about the data), including discovery, contextual and detailed metadata. In

  13. Characterization of Educational Resources in e-Learning Systems Using an Educational Metadata Profile

    Science.gov (United States)

    Solomou, Georgia; Pierrakeas, Christos; Kameas, Achilles

    2015-01-01

    The ability to effectively administrate educational resources in terms of accessibility, reusability and interoperability lies in the adoption of an appropriate metadata schema, able of adequately describing them. A considerable number of different educational metadata schemas can be found in literature, with the IEEE LOM being the most widely…

  14. The 1989 progress report: dynamic meteorology

    International Nuclear Information System (INIS)

    Sadourny, R.

    1989-01-01

    The 1989 progress report of the laboratory of Dynamic Meteorology of the Polytechnic School (France) is presented. The aim of the research programs is the dynamic study of climate and environment in relationship with the global athmospheric behavior. The investigations reported were performed in the fields of: climate modelling, dynamic study of Turbulence, analysis of atmospheric radiation and nebulosity, tropical meteorology and climate, Earth radioactive balance, lidar measurements, middle atmosphere studies. The published papers, the conferences and Laboratory staff are listed [fr

  15. OAI-PMH repositories : quality issues regarding metadata and protocol compliance, tutorial 1

    CERN Document Server

    CERN. Geneva; Cole, Tim

    2005-01-01

    This tutorial will provide an overview of emerging guidelines and best practices for OAI data providers and how they relate to expectations and needs of service providers. The audience should already be familiar with OAI protocol basics and have at least some experience with either data provider or service provider implementations. The speakers will present both protocol compliance best practices and general recommendations for creating and disseminating high-quality "shareable metadata". Protocol best practices discussion will include coverage of OAI identifiers, date-stamps, deleted records, sets, resumption tokens, about containers, branding, errors conditions, HTTP server issues, and repository lifecycle issues. Discussion of what makes for good, shareable metadata will cover topics including character encoding, namespace and XML schema issues, metadata crosswalk issues, support of multiple metadata formats, general metadata authoring recommendations, specific recommendations for use of Dublin Core elemen...

  16. Metadata in the changing learning environment: developing skills to achieve the blue skies

    Directory of Open Access Journals (Sweden)

    Juanita Foster-Jones

    2002-12-01

    Full Text Available This short paper will examine the importance of metadata and its role in the changing learning environment, beginning with an introduction about what metadata is, and the benefits to be gained from applying it to all academic resources. Two Open University projects, Portfolio and the Reusable Educational Software Library, will be described and used to illustrate how the IMS Learning Resource Metadata scheme is being applied, and the issues that have been encountered by the Open University and how it is attempting to resolve them. The need for change in organizational culture so that metadata becomes part of the creation process, rather than an afterthought, will then be discussed The paper concludes with a glimpse into the blue skies of the future - where all resources will have metadata as standard practice, and institutions can share and utilize their resources effectively.

  17. Review of Metadata Elements within the Web Pages Resulting from Searching in General Search Engines

    Directory of Open Access Journals (Sweden)

    Sima Shafi’ie Alavijeh

    2009-12-01

    Full Text Available The present investigation was aimed to study the scope of presence of Dublin Core metadata elements and HTML meta tags in web pages. Ninety web pages were chosen by searching general search engines (Google, Yahoo and MSN. The scope of metadata elements (Dublin Core and HTML Meta tags present in these pages as well as existence of a significant correlation between presence of meta elements and type of search engines were investigated. Findings indicated very low presence of both Dublin Core metadata elements and HTML meta tags in the pages retrieved which in turn illustrates the very low usage of meta data elements in web pages. Furthermore, findings indicated that there are no significant correlation between the type of search engine used and presence of metadata elements. From the standpoint of including metadata in retrieval of web sources, search engines do not significantly differ from one another.

  18. The Birmingham Urban Climate Laboratory-A high density, urban meteorological dataset, from 2012-2014.

    Science.gov (United States)

    Warren, Elliott L; Young, Duick T; Chapman, Lee; Muller, Catherine; Grimmond, C S B; Cai, Xiao-Ming

    2016-06-07

    There is a paucity of urban meteorological observations worldwide, hindering progress in understanding and mitigating urban meteorological hazards and extremes. High quality urban datasets are required to monitor the impacts of climatological events, whilst providing data for evaluation of numerical models. The Birmingham Urban Climate Laboratory was established as an exemplar network to meet this demand for urban canopy layer observations. It comprises of an array of 84 wireless air temperature sensors nested within a coarser array of 24 automatic weather stations, with observations available between June 2012 and December 2014. data routinely underwent quality control, follows the ISO 8601 naming format and benefits from extensive site metadata. The data have been used to investigate the structure of the urban heat island in Birmingham and its associated societal and infrastructural impacts. The network is now being repurposed into a testbed for the assessment of crowd-sourced and satellite data, but the original dataset is now available for further analysis, and an open invitation is extended for its academic use.

  19. NERIES: Seismic Data Gateways and User Composed Datasets Metadata Management

    Science.gov (United States)

    Spinuso, Alessandro; Trani, Luca; Kamb, Linus; Frobert, Laurent

    2010-05-01

    One of the NERIES EC project main objectives is to establish and improve the networking of seismic waveform data exchange and access among four main data centers in Europe: INGV, GFZ, ORFEUS and IPGP. Besides the implementation of the data backbone, several investigations and developments have been conducted in order to offer to the users the data available from this network, either programmatically or interactively. One of the challenges is to understand how to enable users` activities such as discovering, aggregating, describing and sharing datasets to obtain a decrease in the replication of similar data queries towards the network, exempting the data centers to guess and create useful pre-packed products. We`ve started to transfer this task more and more towards the users community, where the users` composed data products could be extensively re-used. The main link to the data is represented by a centralized webservice (SeismoLink) acting like a single access point to the whole data network. Users can download either waveform data or seismic station inventories directly from their own software routines by connecting to this webservice, which routes the request to the data centers. The provenance of the data is maintained and transferred to the users in the form of URIs, that identify the dataset and implicitly refer to the data provider. SeismoLink, combined with other webservices (eg EMSC-QuakeML earthquakes catalog service), is used from a community gateway such as the NERIES web portal (http://www.seismicportal.eu). Here the user interacts with a map based portlet which allows the dynamic composition of a data product, binding seismic event`s parameters with a set of seismic stations. The requested data is collected by the back-end processes of the portal, preserved and offered to the user in a personal data cart, where metadata can be generated interactively on-demand. The metadata, expressed in RDF, can also be remotely ingested. They offer rating

  20. A Semantically Enabled Metadata Repository for Solar Irradiance Data Products

    Science.gov (United States)

    Wilson, A.; Cox, M.; Lindholm, D. M.; Nadiadi, I.; Traver, T.

    2014-12-01

    The Laboratory for Atmospheric and Space Physics, LASP, has been conducting research in Atmospheric and Space science for over 60 years, and providing the associated data products to the public. LASP has a long history, in particular, of making space-based measurements of the solar irradiance, which serves as crucial input to several areas of scientific research, including solar-terrestrial interactions, atmospheric, and climate. LISIRD, the LASP Interactive Solar Irradiance Data Center, serves these datasets to the public, including solar spectral irradiance (SSI) and total solar irradiance (TSI) data. The LASP extended metadata repository, LEMR, is a database of information about the datasets served by LASP, such as parameters, uncertainties, temporal and spectral ranges, current version, alerts, etc. It serves as the definitive, single source of truth for that information. The database is populated with information garnered via web forms and automated processes. Dataset owners keep the information current and verified for datasets under their purview. This information can be pulled dynamically for many purposes. Web sites such as LISIRD can include this information in web page content as it is rendered, ensuring users get current, accurate information. It can also be pulled to create metadata records in various metadata formats, such as SPASE (for heliophysics) and ISO 19115. Once these records are be made available to the appropriate registries, our data will be discoverable by users coming in via those organizations. The database is implemented as a RDF triplestore, a collection of instances of subject-object-predicate data entities identifiable with a URI. This capability coupled with SPARQL over HTTP read access enables semantic queries over the repository contents. To create the repository we leveraged VIVO, an open source semantic web application, to manage and create new ontologies and populate repository content. A variety of ontologies were used in

  1. Metadata behind the Interoperability of Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Miguel Angel Manso Callejo

    2009-05-01

    Full Text Available Wireless Sensor Networks (WSNs produce changes of status that are frequent, dynamic and unpredictable, and cannot be represented using a linear cause-effect approach. Consequently, a new approach is needed to handle these changes in order to support dynamic interoperability. Our approach is to introduce the notion of context as an explicit representation of changes of a WSN status inferred from metadata elements, which in turn, leads towards a decision-making process about how to maintain dynamic interoperability. This paper describes the developed context model to represent and reason over different WSN status based on four types of contexts, which have been identified as sensing, node, network and organisational contexts. The reasoning has been addressed by developing contextualising and bridges rules. As a result, we were able to demonstrate how contextualising rules have been used to reason on changes of WSN status as a first step towards maintaining dynamic interoperability.

  2. Visualizing and Validating Metadata Traceability within the CDISC Standards

    Science.gov (United States)

    Hume, Sam; Sarnikar, Surendra; Becnel, Lauren; Bennett, Dorine

    2017-01-01

    The Food & Drug Administration has begun requiring that electronic submissions of regulated clinical studies utilize the Clinical Data Information Standards Consortium data standards. Within regulated clinical research, traceability is a requirement and indicates that the analysis results can be traced back to the original source data. Current solutions for clinical research data traceability are limited in terms of querying, validation and visualization capabilities. This paper describes (1) the development of metadata models to support computable traceability and traceability visualizations that are compatible with industry data standards for the regulated clinical research domain, (2) adaptation of graph traversal algorithms to make them capable of identifying traceability gaps and validating traceability across the clinical research data lifecycle, and (3) development of a traceability query capability for retrieval and visualization of traceability information. PMID:28815125

  3. QualityML: a dictionary for quality metadata encoding

    Science.gov (United States)

    Ninyerola, Miquel; Sevillano, Eva; Serral, Ivette; Pons, Xavier; Zabala, Alaitz; Bastin, Lucy; Masó, Joan

    2014-05-01

    The scenario of rapidly growing geodata catalogues requires tools focused on facilitate users the choice of products. Having quality fields populated in metadata allow the users to rank and then select the best fit-for-purpose products. In this direction, we have developed the QualityML (http://qualityml.geoviqua.org), a dictionary that contains hierarchically structured concepts to precisely define and relate quality levels: from quality classes to quality measurements. Generically, a quality element is the path that goes from the higher level (quality class) to the lowest levels (statistics or quality metrics). This path is used to encode quality of datasets in the corresponding metadata schemas. The benefits of having encoded quality, in the case of data producers, are related with improvements in their product discovery and better transmission of their characteristics. In the case of data users, particularly decision-makers, they would find quality and uncertainty measures to take the best decisions as well as perform dataset intercomparison. Also it allows other components (such as visualization, discovery, or comparison tools) to be quality-aware and interoperable. On one hand, the QualityML is a profile of the ISO geospatial metadata standards providing a set of rules for precisely documenting quality indicator parameters that is structured in 6 levels. On the other hand, QualityML includes semantics and vocabularies for the quality concepts. Whenever possible, if uses statistic expressions from the UncertML dictionary (http://www.uncertml.org) encoding. However it also extends UncertML to provide list of alternative metrics that are commonly used to quantify quality. A specific example, based on a temperature dataset, is shown below. The annual mean temperature map has been validated with independent in-situ measurements to obtain a global error of 0.5 ° C. Level 0: Quality class (e.g., Thematic accuracy) Level 1: Quality indicator (e.g., Quantitative

  4. ATLAS File and Dataset Metadata Collection and Use

    CERN Document Server

    Albrand, S; The ATLAS collaboration; Lambert, F; Gallas, E J

    2012-01-01

    The ATLAS Metadata Interface (“AMI”) was designed as a generic cataloguing system, and as such it has found many uses in the experiment including software release management, tracking of reconstructed event sizes and control of dataset nomenclature. The primary use of AMI is to provide a catalogue of datasets (file collections) which is searchable using physics criteria. In this paper we discuss the various mechanisms used for filling the AMI dataset and file catalogues. By correlating information from different sources we can derive aggregate information which is important for physics analysis; for example the total number of events contained in dataset, and possible reasons for missing events such as a lost file. Finally we will describe some specialized interfaces which were developed for the Data Preparation and reprocessing coordinators. These interfaces manipulate information from both the dataset domain held in AMI, and the run-indexed information held in the ATLAS COMA application (Conditions and ...

  5. Accountable Metadata-Hiding Escrow: A Group Signature Case Study

    Directory of Open Access Journals (Sweden)

    Kohlweiss Markulf

    2015-06-01

    Full Text Available A common approach to demands for lawful access to encrypted data is to allow a trusted third party (TTP to gain access to private data. However, there is no way to verify that this trust is well placed as the TTP may open all messages indiscriminately. Moreover, existing approaches do not scale well when, in addition to the content of the conversation, one wishes to hide one’s identity. Given the importance of metadata this is a major problem. We propose a new approach in which users can retroactively verify cryptographically whether they were wiretapped. As a case study, we propose a new signature scheme that can act as an accountable replacement for group signatures, accountable forward and backward tracing signatures.

  6. ARIADNE: a Tracking System for Relationships in LHCb Metadata

    CERN Document Server

    Shapoval, I; Cattaneo, M

    2014-01-01

    The data processing model of the LHCb experiment implies handling of an evolving set of heterogeneous metadata entities and relationships between them. The entities range from software and databases states to architecture specificators and software/data deployment locations. For instance, there is an important relationship between the LHCb Conditions Database (CondDB), which provides versioned, time dependent geometry and conditions data, and the LHCb software, which is the data processing applications (used for simulation, high level triggering, reconstruction and analysis of physics data). The evolution of CondDB and of the LHCb applications is a weakly-homomorphic process. It means that relationships between a CondDB state and LHCb application state may not be preserved across different database and application generations. These issues may lead to various kinds of problems in the LHCb production, varying from unexpected application crashes to incorrect data processing results. In this paper we present Ari...

  7. PROGRAM SYSTEM AND INFORMATION METADATA BANK OF TERTIARY PROTEIN STRUCTURES

    Directory of Open Access Journals (Sweden)

    T. A. Nikitin

    2013-01-01

    Full Text Available The article deals with the architecture of metadata storage model for check results of three-dimensional protein structures. Concept database model was built. The service and procedure of database update as well as data transformation algorithms for protein structures and their quality were presented. Most important information about entries and their submission forms to store, access, and delivery to users were highlighted. Software suite was developed for the implementation of functional tasks using Java programming language in the NetBeans v.7.0 environment and JQL to query and interact with the database JavaDB. The service was tested and results have shown system effectiveness while protein structures filtration.

  8. Metadata and their impact on processes in Building Information Modeling

    Directory of Open Access Journals (Sweden)

    Vladimir Nyvlt

    2014-04-01

    Full Text Available Building Information Modeling (BIM itself contains huge potential, how to increase effectiveness of every project in its all life cycle. It means from initial investment plan through project and building-up activities to long-term usage and property maintenance and finally demolition. Knowledge Management or better say Knowledge Sharing covers two sets of tools, managerial and technological. Manager`s needs are real expectations and desires of final users in terms of how could they benefit from managing long-term projects, covering whole life cycle in terms of sparing investment money and other resources. Technology employed can help BIM processes to support and deliver these benefits to users. How to use this technology for data and metadata collection, storage and sharing, which processes may these new technologies deploy. We will touch how to cover optimized processes proposal for better and smooth support of knowledge sharing within project time-scale, and covering all its life cycle.

  9. Meteorological Drivers of Extreme Air Pollution Events

    Science.gov (United States)

    Horton, D. E.; Schnell, J.; Callahan, C. W.; Suo, Y.

    2017-12-01

    The accumulation of pollutants in the near-surface atmosphere has been shown to have deleterious consequences for public health, agricultural productivity, and economic vitality. Natural and anthropogenic emissions of ozone and particulate matter can accumulate to hazardous concentrations when atmospheric conditions are favorable, and can reach extreme levels when such conditions persist. Favorable atmospheric conditions for pollutant accumulation include optimal temperatures for photochemical reaction rates, circulation patterns conducive to pollutant advection, and a lack of ventilation, dispersion, and scavenging in the local environment. Given our changing climate system and the dual ingredients of poor air quality - pollutants and the atmospheric conditions favorable to their accumulation - it is important to characterize recent changes in favorable meteorological conditions, and quantify their potential contribution to recent extreme air pollution events. To facilitate our characterization, this study employs the recently updated Schnell et al (2015) 1°×1° gridded observed surface ozone and particulate matter datasets for the period of 1998 to 2015, in conjunction with reanalysis and climate model simulation data. We identify extreme air pollution episodes in the observational record and assess the meteorological factors of primary support at local and synoptic scales. We then assess (i) the contribution of observed meteorological trends (if extant) to the magnitude of the event, (ii) the return interval of the meteorological event in the observational record, simulated historical climate, and simulated pre-industrial climate, as well as (iii) the probability of the observed meteorological trend in historical and pre-industrial climates.

  10. Phonion: Practical Protection of Metadata in Telephony Networks

    Directory of Open Access Journals (Sweden)

    Heuser Stephan

    2017-01-01

    Full Text Available The majority of people across the globe rely on telephony networks as their primary means of communication. As such, many of the most sensitive personal, corporate and government related communications pass through these systems every day. Unsurprisingly, such connections are subject to a wide range of attacks. Of increasing concern is the use of metadata contained in Call Detail Records (CDRs, which contain source, destination, start time and duration of a call. This information is potentially dangerous as the very act of two parties communicating can reveal significant details about their relationship and put them in the focus of targeted observation or surveillance, which is highly critical especially for journalists and activists. To address this problem, we develop the Phonion architecture to frustrate such attacks by separating call setup functions from call delivery. Specifically, Phonion allows users to preemptively establish call circuits across multiple providers and technologies before dialing into the circuit and does not require constant Internet connectivity. Since no single carrier can determine the ultimate destination of the call, it provides unlinkability for its users and helps them to avoid passive surveillance. We define and discuss a range of adversary classes and analyze why current obfuscation technologies fail to protect users against such metadata attacks. In our extensive evaluation we further analyze advanced anonymity technologies (e.g., VoIP over Tor, which do not preserve our functional requirements for high voice quality in the absence of constant broadband Internet connectivity and compatibility with landline and feature phones. Phonion is the first practical system to provide guarantees of unlinkable communication against a range of practical adversaries in telephony systems.

  11. Development of health information search engine based on metadata and ontology.

    Science.gov (United States)

    Song, Tae-Min; Park, Hyeoun-Ae; Jin, Dal-Lae

    2014-04-01

    The aim of the study was to develop a metadata and ontology-based health information search engine ensuring semantic interoperability to collect and provide health information using different application programs. Health information metadata ontology was developed using a distributed semantic Web content publishing model based on vocabularies used to index the contents generated by the information producers as well as those used to search the contents by the users. Vocabulary for health information ontology was mapped to the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), and a list of about 1,500 terms was proposed. The metadata schema used in this study was developed by adding an element describing the target audience to the Dublin Core Metadata Element Set. A metadata schema and an ontology ensuring interoperability of health information available on the internet were developed. The metadata and ontology-based health information search engine developed in this study produced a better search result compared to existing search engines. Health information search engine based on metadata and ontology will provide reliable health information to both information producer and information consumers.

  12. Foundations of a metadata repository for databases of registers and trials.

    Science.gov (United States)

    Stausberg, Jürgen; Löbe, Matthias; Verplancke, Philippe; Drepper, Johannes; Herre, Heinrich; Löffler, Markus

    2009-01-01

    The planning of case report forms (CRFs) in clinical trials or databases in registers is mostly an informal process starting from scratch involving domain experts, biometricians, and documentation specialists. The Telematikplattform für Medizinische Forschungsnetze, an umbrella organization for medical research in Germany, aims at supporting and improving this process with a metadata repository, covering the variables and value lists used in databases of registers and trials. The use cases for the metadata repository range from a specification of case report forms to the harmonization of variable collections, variables, and value lists through a formal review. The warehouse used for the storage of the metadata should at least fulfill the definition of part 3 "Registry metamodel and basic attributes" of ISO/IEC 11179 Information technology - Metadata registries. An implementation of the metadata repository should offer an import and export of metadata in the Operational Data Model standard of the Clinical Data Interchange Standards Consortium. It will facilitate the creation of CRFs and data models, improve the quality of CRFs and data models, support the harmonization of variables and value lists, and support the mapping of metadata and data.

  13. Describing Geospatial Assets in the Web of Data: A Metadata Management Scenario

    Directory of Open Access Journals (Sweden)

    Cristiano Fugazza

    2016-12-01

    Full Text Available Metadata management is an essential enabling factor for geospatial assets because discovery, retrieval, and actual usage of the latter are tightly bound to the quality of these descriptions. Unfortunately, the multi-faceted landscape of metadata formats, requirements, and conventions makes it difficult to identify editing tools that can be easily tailored to the specificities of a given project, workgroup, and Community of Practice. Our solution is a template-driven metadata editing tool that can be customised to any XML-based schema. Its output is constituted by standards-compliant metadata records that also have a semantics-aware counterpart eliciting novel exploitation techniques. Moreover, external data sources can easily be plugged in to provide autocompletion functionalities on the basis of the data structures made available on the Web of Data. Beside presenting the essentials on customisation of the editor by means of two use cases, we extend the methodology to the whole life cycle of geospatial metadata. We demonstrate the novel capabilities enabled by RDF-based metadata representation with respect to traditional metadata management in the geospatial domain.

  14. Meteorological aspects of siting large wind turbines

    Energy Technology Data Exchange (ETDEWEB)

    Hiester, T.R.; Pennell, W.T.

    1981-01-01

    This report, which focuses on the meteorological aspects of siting large wind turbines (turbines with a rated output exceeding 100 kW), has four main goals. The first is to outline the elements of a siting strategy that will identify the most favorable wind energy sites in a region and that will provide sufficient wind data to make responsible economic evaluations of the site wind resource possible. The second is to critique and summarize siting techniques that were studied in the Department of Energy (DOE) Wind Energy Program. The third goal is to educate utility technical personnel, engineering consultants, and meteorological consultants (who may have not yet undertaken wind energy consulting) on meteorological phenomena relevant to wind turbine siting in order to enhance dialogues between these groups. The fourth goal is to minimize the chances of failure of early siting programs due to insufficient understanding of wind behavior.

  15. Artificial stereo presentation of meteorological data fields

    Science.gov (United States)

    Hasler, A. F.; Desjardins, M.; Negri, A. J.

    1981-01-01

    The innate capability to perceive three-dimensional stereo imagery has been exploited to present multidimensional meteorological data fields. Variations on an artificial stereo technique first discussed by Pichel et al. (1973) are used to display single and multispectral images in a vivid and easily assimilated manner. Examples of visible/infrared artificial stereo are given for Hurricane Allen and for severe thunderstorms on 10 April 1979. Three-dimensional output from a mesoscale model also is presented. The images may be viewed through the glasses inserted in the February 1981 issue of the Bulletin of the American Meteorological Society, with the red lens over the right eye. The images have been produced on the interactive Atmospheric and Oceanographic Information Processing System (AOIPS) at Goddard Space Flight Center. Stereo presentation is an important aid in understanding meteorological phenomena for operational weather forecasting, research case studies, and model simulations.

  16. Surface Meteorological Observation System (SMOS) Handbook

    Energy Technology Data Exchange (ETDEWEB)

    Ritsche, MT

    2008-03-01

    The Surface Meteorological Observation System (SMOS) mostly uses conventional in situ sensors to obtain 1-minute, 30-minute, and 1440-minute (daily) averages of surface wind speed, wind direction, air temperature, relative humidity (RH), barometric pressure, and precipitation at the Central Facility and many of the extended facilities of the Southern Great Plains (SGP) climate research site. The SMOSs are not calibrated as systems. The sensors and the data logger (which includes the analog-to-digital converter, or A/D) are calibrated separately. All systems are installed using components that have a current calibration. SMOSs have not been installed at extended facilities located within about 10 km of existing surface meteorological stations, such as those of the Oklahoma Mesonet. The Surface Meteorological Observation Systems are used to create climatology for each particular location, and to verify the output of numerical weather forecast and other model output. They are also used to “ground-truth” other remote sensing equipment.

  17. The ANSS Station Information System: A Centralized Station Metadata Repository for Populating, Managing and Distributing Seismic Station Metadata

    Science.gov (United States)

    Thomas, V. I.; Yu, E.; Acharya, P.; Jaramillo, J.; Chowdhury, F.

    2015-12-01

    Maintaining and archiving accurate site metadata is critical for seismic network operations. The Advanced National Seismic System (ANSS) Station Information System (SIS) is a repository of seismic network field equipment, equipment response, and other site information. Currently, there are 187 different sensor models and 114 data-logger models in SIS. SIS has a web-based user interface that allows network operators to enter information about seismic equipment and assign response parameters to it. It allows users to log entries for sites, equipment, and data streams. Users can also track when equipment is installed, updated, and/or removed from sites. When seismic equipment configurations change for a site, SIS computes the overall gain of a data channel by combining the response parameters of the underlying hardware components. Users can then distribute this metadata in standardized formats such as FDSN StationXML or dataless SEED. One powerful advantage of SIS is that existing data in the repository can be leveraged: e.g., new instruments can be assigned response parameters from the Incorporated Research Institutions for Seismology (IRIS) Nominal Response Library (NRL), or from a similar instrument already in the inventory, thereby reducing the amount of time needed to determine parameters when new equipment (or models) are introduced into a network. SIS is also useful for managing field equipment that does not produce seismic data (eg power systems, telemetry devices or GPS receivers) and gives the network operator a comprehensive view of site field work. SIS allows users to generate field logs to document activities and inventory at sites. Thus, operators can also use SIS reporting capabilities to improve planning and maintenance of the network. Queries such as how many sensors of a certain model are installed or what pieces of equipment have active problem reports are just a few examples of the type of information that is available to SIS users.

  18. Linked Metadata - lightweight semantics for data integration (Invited)

    Science.gov (United States)

    Hendler, J. A.

    2013-12-01

    The "Linked Open Data" cloud (http://linkeddata.org) is currently used to show how the linking of datasets, supported by SPARQL endpoints, is creating a growing set of linked data assets. This linked data space has been growing rapidly, and the last version collected is estimated to have had over 35 billion 'triples.' As impressive as this may sound, there is an inherent flaw in the way the linked data story is conceived. The idea is that all of the data is represented in a linked format (generally RDF) and applications will essentially query this cloud and provide mashup capabilities between the various kinds of data that are found. The view of linking in the cloud is fairly simple -links are provided by either shared URIs or by URIs that are asserted to be owl:sameAs. This view of the linking, which primarily focuses on shared objects and subjects in RDF's subject-predicate-object representation, misses a critical aspect of Semantic Web technology. Given triples such as * A:person1 foaf:knows A:person2 * B:person3 foaf:knows B:person4 * C:person5 foaf:name 'John Doe' this view would not consider them linked (barring other assertions) even though they share a common vocabulary. In fact, we get significant clues that there are commonalities in these data items from the shared namespaces and predicates, even if the traditional 'graph' view of RDF doesn't appear to join on these. Thus, it is the linking of the data descriptions, whether as metadata or other vocabularies, that provides the linking in these cases. This observation is crucial to scientific data integration where the size of the datasets, or even the individual relationships within them, can be quite large. (Note that this is not restricted to scientific data - search engines, social networks, and massive multiuser games also create huge amounts of data.) To convert all the triples into RDF and provide individual links is often unnecessary, and is both time and space intensive. Those looking to do on the

  19. Tags and self-organisation: a metadata ecology for learning resources in a multilingual context

    OpenAIRE

    Vuorikari, Riina Hannuli

    2010-01-01

    Vuorikari, R. (2009). Tags and self-organisation: a metadata ecology for learning resources in a multilingual context. Doctoral thesis. November, 13, 2009, Heerlen, The Netherlands: Open University of the Netherlands, CELSTEC.

  20. Tags and self-organisation: a metadata ecology for learning resources in a multilingual context

    NARCIS (Netherlands)

    Vuorikari, Riina

    2009-01-01

    Vuorikari, R. (2009). Tags and self-organisation: a metadata ecology for learning resources in a multilingual context. Doctoral thesis. November, 13, 2009, Heerlen, The Netherlands: Open University of the Netherlands, CELSTEC.

  1. Scalable Metadata Management for a Large Multi-Source Seismic Data Repository

    Energy Technology Data Exchange (ETDEWEB)

    Gaylord, J. M. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Dodge, D. A. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Magana-Zook, S. A. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Barno, J. G. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Knapp, D. R. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Thomas, J. M. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Sullivan, D. S. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Ruppert, S. D. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Mellors, R. J. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

    2017-05-26

    In this work, we implemented the key metadata management components of a scalable seismic data ingestion framework to address limitations in our existing system, and to position it for anticipated growth in volume and complexity.

  2. Probabilistic Meteorological Characterization for Turbine Loads

    DEFF Research Database (Denmark)

    Kelly, Mark C.; Larsen, Gunner Chr.; Dimitrov, Nikolay Krasimirov

    2014-01-01

    layer. Based on both data from multiple sites as well as theoretical bases from boundary-layer meteorology and atmospheric turbulence, we offer probabilistic descriptions of shear and turbulence intensity, elucidating the connection of each to the other as well as to atmospheric stability and terrain...

  3. Meteorological data related to the Chernobyl accident

    International Nuclear Information System (INIS)

    Graziani, G.; Zarimpas, N.

    1989-01-01

    This report presents a detailed technical description of the JRC-Ispra comprehensive collection of meteorological information related to the Chernobyl accident and attempts an analysis of the data in order to perform an initial checking of their quality and facilitate a suitable and compact way of display

  4. ARM Surface Meteorology Systems Instrument Handbook

    Energy Technology Data Exchange (ETDEWEB)

    Ritsche, MT

    2011-03-08

    The ARM Surface Meteorology Systems consist mainly of conventional in situ sensors that obtain a defined “core” set of measurements. The core set of measurements is: Barometric Pressure (kPa), Temperature (°C), Relative Humidity (%), Arithmetic-Averaged Wind Speed (m/s), Vector-Averaged Wind Speed (m/s), and Vector-Averaged Wind Direction (deg).

  5. Meteorological Development Laboratory Student Career Experience Program

    Science.gov (United States)

    McCalla, C., Sr.

    2007-12-01

    The National Oceanic and Atmospheric Administration's (NOAA) National Weather Service (NWS) provides weather, hydrologic, and climate forecasts and warnings for the protection of life and property and the enhancement of the national economy. The NWS's Meteorological Development Laboratory (MDL) supports this mission by developing meteorological prediction methods. Given this mission, NOAA, NWS, and MDL all have a need to continually recruit talented scientists. One avenue for recruiting such talented scientist is the Student Career Experience Program (SCEP). Through SCEP, MDL offers undergraduate and graduate students majoring in meteorology, computer science, mathematics, oceanography, physics, and statistics the opportunity to alternate full-time paid employment with periods of full-time study. Using SCEP as a recruiting vehicle, MDL has employed students who possess some of the very latest technical skills and knowledge needed to make meaningful contributions to projects within the lab. MDL has recently expanded its use of SCEP and has increased the number of students (sometimes called co- ops) in its program. As a co-op, a student can expect to develop and implement computer based scientific techniques, participate in the development of statistical algorithms, assist in the analysis of meteorological data, and verify forecasts. This presentation will focus on describing recruitment, projects, and the application process related to MDL's SCEP. In addition, this presentation will also briefly explore the career paths of students who successfully completed the program.

  6. Integrating meteorological and indigenous knowledge-based ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    SCF seasonal climate forecasts developed by national meteorological services. SUA. Sokoine University of Agriculture (Tanzania) ..... city names were given on the weather map as reference points. This example .... Observing stars, wind patterns, cloud movement, and the position of the moon and sun allows weather and ...

  7. Sparse canopy parameterizations for meteorological models

    NARCIS (Netherlands)

    Hurk, van den B.J.J.M.

    1996-01-01

    Meteorological models for numerical weather prediction or climate simulation require a description of land surface exchange processes. The degree of complexity of these land-surface parameterization schemes - or SVAT's - that is necessary for accurate model predictions, is yet unclear. Also, the

  8. 30. 1988 meteorological year book of Ispra

    International Nuclear Information System (INIS)

    Bollini, B.; Galva, A.; Gandino, C.; Porrati, E.

    1989-01-01

    After a short description of the methods for measuring and elaborating atmospheric phenomena, many tables and graphics for the meteorological year 1988 are reported with English titles too. The measurements of solar irradiation are marked with the final hour following Italian winter time

  9. 31. 1989 meteorological year book of Ispra

    International Nuclear Information System (INIS)

    Bollini, G.; Gandino, C.; Maranzana, E.

    1990-01-01

    After a short description of the methods for measuring and elaborating atmospheric phenomena, many tables and graphics for the meteorological year 1989 are reported with English titles too. The measurements of solar irradiation are marked with the final hour following Italian winter time

  10. Meteorological features associated with unprecedented precipitation ...

    Indian Academy of Sciences (India)

    Due to this event, huge loss to agricultural and horticultural crops occurred in several parts of India. In the present study, an attempt is made to understand the various meteorological features associated with this unprecedented precipitation event over India. It occurred due to the presence of an intense western disturbance ...

  11. assessment and monitoring of meteorological and hydrological ...

    African Journals Online (AJOL)

    During the last century, Algeria experienced a rainfall deficit was recorded in 1944, then successive drought periods since 1975 to the present day in Northen and Eastern. The most recent has repercussions on water resources and on agriculture. In this paper, we focus on the meteorological and hydrological drought.

  12. Journal of Meteorology and Climate Science: Submissions

    African Journals Online (AJOL)

    We welcome articles or proposals from all perspectives and on all subjects pertaining to Meteorology, Agriculture, Physics, Geography, Oceanography and ... of manuscripts is strongly encouraged, provided that the text, tables, and figures are included in a single Microsoft Word file (preferably in Arial or Time Romains font).

  13. Meteorological influences on coastal new particle formation

    NARCIS (Netherlands)

    Leeuw, G. de; Kunz, G.J.; Buzorius, G.; O`Dowd, C.D.

    2002-01-01

    The meteorological situation at the midlatitude coastal station of Mace Head, Ireland, is described based on observations during the New Particle Formation and Fate in the Coastal Environment (PARFORCE) experiments in September 1998 and June 1999. Micrometeorological sensors were mounted near the

  14. Atmospheric Science: It's More than Meteorology.

    Science.gov (United States)

    Smith, David R.; Krockover, Gerald H.

    1988-01-01

    Indicates that atmospheric science is not just forcasting the weather. Gives an overview of current topics in meteorology including ozone depletion, acid precipitation, winter cyclones, severe local storms, the greenhouse effect, wind shear and microbursts. Outlines the Atmospheric Sciences Education Program at Purdue University to produce…

  15. How To...Activities in Meteorology.

    Science.gov (United States)

    Nimmer, Donald N.; Sagness, Richard L.

    This series of experiments seeks to provide laboratory exercises which demonstrate concepts in Earth Science, particularly meteorology. Materials used in the experiments are easily obtainable. Examples of experiments include: (1) making a thermometer; (2) air/space relationship; (3) weight of air; (4) barometers; (5) particulates; (6) evaporation;…

  16. Problem-Based Learning Approaches in Meteorology

    Science.gov (United States)

    Charlton-Perez, Andrew James

    2013-01-01

    Problem-Based Learning, despite recent controversies about its effectiveness, is used extensively as a teaching method throughout higher education. In meteorology, there has been little attempt to incorporate Problem-Based Learning techniques into the curriculum. Motivated by a desire to enhance the reflective engagement of students within a…

  17. Early meteorological records from Latin-America and the Caribbean during the 18th and 19th centuries

    Science.gov (United States)

    Domínguez-Castro, Fernando; Vaquero, José Manuel; Gallego, María Cruz; Farrona, Ana María Marín; Antuña-Marrero, Juan Carlos; Cevallos, Erika Elizabeth; Herrera, Ricardo García; de La Guía, Cristina; Mejía, Raúl David; Naranjo, José Manuel; Del Rosario Prieto, María; Ramos Guadalupe, Luis Enrique; Seiner, Lizardo; Trigo, Ricardo Machado; Villacís, Marcos

    2017-11-01

    This paper provides early instrumental data recovered for 20 countries of Latin-America and the Caribbean (Argentina, Bahamas, Belize, Brazil, British Guiana, Chile, Colombia, Costa Rica, Cuba, Ecuador, France (Martinique and Guadalupe), Guatemala, Jamaica, Mexico, Nicaragua, Panama, Peru, Puerto Rico, El Salvador and Suriname) during the 18th and 19th centuries. The main meteorological variables retrieved were air temperature, atmospheric pressure, and precipitation, but other variables, such as humidity, wind direction, and state of the sky were retrieved when possible. In total, more than 300,000 early instrumental data were rescued (96% with daily resolution). Especial effort was made to document all the available metadata in order to allow further post-processing. The compilation is far from being exhaustive, but the dataset will contribute to a better understanding of climate variability in the region, and to enlarging the period of overlap between instrumental data and natural/documentary proxies.

  18. Early meteorological records from Latin-America and the Caribbean during the 18th and 19th centuries.

    Science.gov (United States)

    Domínguez-Castro, Fernando; Vaquero, José Manuel; Gallego, María Cruz; Farrona, Ana María Marín; Antuña-Marrero, Juan Carlos; Cevallos, Erika Elizabeth; Herrera, Ricardo García; de la Guía, Cristina; Mejía, Raúl David; Naranjo, José Manuel; Del Rosario Prieto, María; Ramos Guadalupe, Luis Enrique; Seiner, Lizardo; Trigo, Ricardo Machado; Villacís, Marcos

    2017-11-14

    This paper provides early instrumental data recovered for 20 countries of Latin-America and the Caribbean (Argentina, Bahamas, Belize, Brazil, British Guiana, Chile, Colombia, Costa Rica, Cuba, Ecuador, France (Martinique and Guadalupe), Guatemala, Jamaica, Mexico, Nicaragua, Panama, Peru, Puerto Rico, El Salvador and Suriname) during the 18th and 19th centuries. The main meteorological variables retrieved were air temperature, atmospheric pressure, and precipitation, but other variables, such as humidity, wind direction, and state of the sky were retrieved when possible. In total, more than 300,000 early instrumental data were rescued (96% with daily resolution). Especial effort was made to document all the available metadata in order to allow further post-processing. The compilation is far from being exhaustive, but the dataset will contribute to a better understanding of climate variability in the region, and to enlarging the period of overlap between instrumental data and natural/documentary proxies.

  19. Preserving Geological Samples and Metadata from Polar Regions

    Science.gov (United States)

    Grunow, A.; Sjunneskog, C. M.

    2011-12-01

    The Office of Polar Programs at the National Science Foundation (NSF-OPP) has long recognized the value of preserving earth science collections due to the inherent logistical challenges and financial costs of collecting geological samples from Polar Regions. NSF-OPP established two national facilities to make Antarctic geological samples and drill cores openly and freely available for research. The Antarctic Marine Geology Research Facility (AMGRF) at Florida State University was established in 1963 and archives Antarctic marine sediment cores, dredge samples and smear slides along with ship logs. The United States Polar Rock Repository (USPRR) at Ohio State University was established in 2003 and archives polar rock samples, marine dredges, unconsolidated materials and terrestrial cores, along with associated materials such as field notes, maps, raw analytical data, paleomagnetic cores, thin sections, microfossil mounts, microslides and residues. The existence of the AMGRF and USPRR helps to minimize redundant sample collecting, lessen the environmental impact of doing polar field work, facilitates field logistics planning and complies with the data sharing requirement of the Antarctic Treaty. USPRR acquires collections through donations from institutions and scientists and then makes these samples available as no-cost loans for research, education and museum exhibits. The AMGRF acquires sediment cores from US based and international collaboration drilling projects in Antarctica. Destructive research techniques are allowed on the loaned samples and loan requests are accepted from any accredited scientific institution in the world. Currently, the USPRR has more than 22,000 cataloged rock samples available to scientists from around the world. All cataloged samples are relabeled with a USPRR number, weighed, photographed and measured for magnetic susceptibility. Many aspects of the sample metadata are included in the database, e.g. geographical location, sample

  20. Automated Creation of Datamarts from a Clinical Data Warehouse, Driven by an Active Metadata Repository

    Science.gov (United States)

    Rogerson, Charles L.; Kohlmiller, Paul H.; Stutman, Harris

    1998-01-01

    A methodology and toolkit are described which enable the automated metadata-driven creation of datamarts from clinical data warehouses. The software uses schema-to-schema transformation driven by an active metadata repository. Tools for assessing datamart data quality are described, as well as methods for assessing the feasibility of implementing specific datamarts. A methodology for data remediation and the re-engineering of operational data capture is described.

  1. New Tools to Document and Manage Data/Metadata: Example NGEE Arctic and ARM

    Science.gov (United States)

    Crow, M. C.; Devarakonda, R.; Killeffer, T.; Hook, L.; Boden, T.; Wullschleger, S.

    2017-12-01

    Tools used for documenting, archiving, cataloging, and searching data are critical pieces of informatics. This poster describes tools being used in several projects at Oak Ridge National Laboratory (ORNL), with a focus on the U.S. Department of Energy's Next Generation Ecosystem Experiment in the Arctic (NGEE Arctic) and Atmospheric Radiation Measurements (ARM) project, and their usage at different stages of the data lifecycle. The Online Metadata Editor (OME) is used for the documentation and archival stages while a Data Search tool supports indexing, cataloging, and searching. The NGEE Arctic OME Tool [1] provides a method by which researchers can upload their data and provide original metadata with each upload while adhering to standard metadata formats. The tool is built upon a Java SPRING framework to parse user input into, and from, XML output. Many aspects of the tool require use of a relational database including encrypted user-login, auto-fill functionality for predefined sites and plots, and file reference storage and sorting. The Data Search Tool conveniently displays each data record in a thumbnail containing the title, source, and date range, and features a quick view of the metadata associated with that record, as well as a direct link to the data. The search box incorporates autocomplete capabilities for search terms and sorted keyword filters are available on the side of the page, including a map for geo-searching. These tools are supported by the Mercury [2] consortium (funded by DOE, NASA, USGS, and ARM) and developed and managed at Oak Ridge National Laboratory. Mercury is a set of tools for collecting, searching, and retrieving metadata and data. Mercury collects metadata from contributing project servers, then indexes the metadata to make it searchable using Apache Solr, and provides access to retrieve it from the web page. Metadata standards that Mercury supports include: XML, Z39.50, FGDC, Dublin-Core, Darwin-Core, EML, and ISO-19115.

  2. Deploying the ATLAS Metadata Interface (AMI) on the cloud with Jenkins.

    CERN Document Server

    AUTHOR|(SzGeCERN)637120; The ATLAS collaboration; Odier, Jerome; Fulachier, Jerome

    2016-01-01

    The ATLAS Metadata Interface (AMI) is a mature application of more than 15 years of existence. Mainly used by the ATLAS experiment at CERN, it consists of a very generic tool ecosystem for metadata aggregation and cataloguing. AMI is used by the ATLAS production system, therefore the service must guarantee a high level of availability. We describe our monitoring and administration systems, and the Jenkins-based strategy used to dynamically test and deploy cloud OpenStack nodes on demand.

  3. Deploying the ATLAS Metadata Interface (AMI) on the cloud with Jenkins

    Science.gov (United States)

    Lambert, F.; Odier, J.; Fulachier, J.; ATLAS Collaboration

    2017-10-01

    The ATLAS Metadata Interface (AMI) is a mature application of more than 15 years of existence. Mainly used by the ATLAS experiment at CERN, it consists of a very generic tool ecosystem for metadata aggregation and cataloguing. AMI is used by the ATLAS production system, therefore the service must guarantee a high level of availability. We describe our monitoring and administration systems, and the Jenkins-based strategy used to dynamically test and deploy cloud OpenStack nodes on demand.

  4. Metadata Analytics, Visualization, and Optimization: Experiments in statistical analysis of the Digital Public Library of America (DPLA

    Directory of Open Access Journals (Sweden)

    Corey A. Harper

    2016-07-01

    Full Text Available This paper presents the concepts of metadata assessment and “quantification” and describes preliminary research results applying these concepts to metadata from the Digital Public Library of America (DPLA. The introductory sections provide a technical outline of data pre-processing, and propose visualization techniques that can help us understand metadata characteristics in a given context. Example visualizations are shown and discussed, leading up to the use of "metadata fingerprints" -- D3 Star Plots -- to summarize metadata characteristics across multiple fields for arbitrary groupings of resources. Fingerprints are shown comparing metadata characterisics for different DPLA "Hubs" and also for used versus not used resources based on Google Analytics "pageview" counts. The closing sections introduce the concept of metadata optimization and explore the use of machine learning techniques to optimize metadata in the context of large-scale metadata aggregators like DPLA. Various statistical models are used to predict whether a particular DPLA item is used based only on its metadata. The article concludes with a discussion of the broad potential for machine learning and data science in libraries, academic institutions, and cultural heritage.

  5. Why can't I manage my digital images like MP3s? The evolution and intent of multimedia metadata

    Science.gov (United States)

    Goodrum, Abby; Howison, James

    2005-01-01

    This paper considers the deceptively simple question: Why can't digital images be managed in the simple and effective manner in which digital music files are managed? We make the case that the answer is different treatments of metadata in different domains with different goals. A central difference between the two formats stems from the fact that digital music metadata lookup services are collaborative and automate the movement from a digital file to the appropriate metadata, while image metadata services do not. To understand why this difference exists we examine the divergent evolution of metadata standards for digital music and digital images and observed that the processes differ in interesting ways according to their intent. Specifically music metadata was developed primarily for personal file management and community resource sharing, while the focus of image metadata has largely been on information retrieval. We argue that lessons from MP3 metadata can assist individuals facing their growing personal image management challenges. Our focus therefore is not on metadata for cultural heritage institutions or the publishing industry, it is limited to the personal libraries growing on our hard-drives. This bottom-up approach to file management combined with p2p distribution radically altered the music landscape. Might such an approach have a similar impact on image publishing? This paper outlines plans for improving the personal management of digital images-doing image metadata and file management the MP3 way-and considers the likelihood of success.

  6. EDI – A Template-Driven Metadata Editor for Research Data

    Directory of Open Access Journals (Sweden)

    Fabio Pavesi

    2016-10-01

    Full Text Available EDI is a general purpose, template-driven metadata editor for creating XML-based descriptions. Originally aimed at defining rich and standard metadata for geospatial resources, It can be easily customised in order to comply with a broad range of schemata and domains. EDI creates HTML5 [9] metadata forms with advanced assisted editing capabilities and compiles them into XML files. The examples included in the distribution implement profiles of the ISO 19139 standard for geographic information [14], such as core INSPIRE metadata [10], as well as the OGC [8] standard for sensor description, SensorML [11]. Templates (the blueprints for a specific metadata format drive form behaviour by element data types and provide advanced features like codelists1 underlying combo boxes or autocompletion functionalities. Virtually, the editing of any metadata format can be supported by creating a specific template. EDI is stored on GitHub at https://github.com/SP7-Ritmare/EDI-NG_client and https://github.com/SP7-Ritmare/EDI-NG_server.

  7. Distributed Metadata Management of Mass Storage System in High Energy Physics

    Science.gov (United States)

    Huang, Qiulan; Du, Ran; Cheng, YaoDong; Shi, Jingyan; Chen, Gang; Kan, Wenxiao

    2017-10-01

    In this contribution, we design and implement a dynamic and scalable distributed metadata management system(StarFS) to High Energy Physics (HEP) mass storage system. Particularly, we discuss the key technologies of the distributed metadata management system. We propose a new algorithm named Adaptive Directory Sub-tree Partition(ADSP) for metadata distribution. ADSP divides the filesystem namespace into sub-trees with directory granularity. Sub-trees will be stored on storage devices in flat structure, whose location and file attributes are recorded as extended attributes. The placement of sub-tree is adjusted adaptively according to the workload of metadata cluster so that the load balance could be improved and metadata cluster could be extended dynamically. Experiments show that ADSP achieves higher metadata performance and scalability compared to Gluster and Lustre. We also propose a new algorithm called Distributed Unified Layout(DULA) to improve dynamic scalability and efficiency of data positioning. A system with DULA could provide uniform data distribution and efficient data positioning. DULA is an improved consistent hashing algorithm which is able to locate data in O(1) without the help of routing information. Experiments prove that the better uniform data distribution and efficient data access can be achieved by DULA. This work is validated in YangBaJing Cosmic Ray(YBJ) experiment.

  8. Automating the Extraction of Metadata from Archaeological Data Using iRods Rules

    Directory of Open Access Journals (Sweden)

    David Walling

    2011-10-01

    Full Text Available The Texas Advanced Computing Center and the Institute for Classical Archaeology at the University of Texas at Austin developed a method that uses iRods rules and a Jython script to automate the extraction of metadata from digital archaeological data. The first step was to create a record-keeping system to classify the data. The record-keeping system employs file and directory hierarchy naming conventions designed specifically to maintain the relationship between the data objects and map the archaeological documentation process. The metadata implicit in the record-keeping system is automatically extracted upon ingest, combined with additional sources of metadata, and stored alongside the data in the iRods preservation environment. This method enables a more organized workflow for the researchers, helps them archive their data close to the moment of data creation, and avoids error prone manual metadata input. We describe the types of metadata extracted and provide technical details of the extraction process and storage of the data and metadata.

  9. Survey data and metadata modelling using document-oriented NoSQL

    Science.gov (United States)

    Rahmatuti Maghfiroh, Lutfi; Gusti Bagus Baskara Nugraha, I.

    2018-03-01

    Survey data that are collected from year to year have metadata change. However it need to be stored integratedly to get statistical data faster and easier. Data warehouse (DW) can be used to solve this limitation. However there is a change of variables in every period that can not be accommodated by DW. Traditional DW can not handle variable change via Slowly Changing Dimension (SCD). Previous research handle the change of variables in DW to manage metadata by using multiversion DW (MVDW). MVDW is designed using relational model. Some researches also found that developing nonrelational model in NoSQL database has reading time faster than the relational model. Therefore, we propose changes to metadata management by using NoSQL. This study proposes a model DW to manage change and algorithms to retrieve data with metadata changes. Evaluation of the proposed models and algorithms result in that database with the proposed design can retrieve data with metadata changes properly. This paper has contribution in comprehensive data analysis with metadata changes (especially data survey) in integrated storage.

  10. Recipes for Semantic Web Dog Food — The ESWC and ISWC Metadata Projects

    Science.gov (United States)

    Möller, Knud; Heath, Tom; Handschuh, Siegfried; Domingue, John

    Semantic Web conferences such as ESWC and ISWC offer prime opportunities to test and showcase semantic technologies. Conference metadata about people, papers and talks is diverse in nature and neither too small to be uninteresting or too big to be unmanageable. Many metadata-related challenges that may arise in the Semantic Web at large are also present here. Metadata must be generated from sources which are often unstructured and hard to process, and may originate from many different players, therefore suitable workflows must be established. Moreover, the generated metadata must use appropriate formats and vocabularies, and be served in a way that is consistent with the principles of linked data. This paper reports on the metadata efforts from ESWC and ISWC, identifies specific issues and barriers encountered during the projects, and discusses how these were approached. Recommendations are made as to how these may be addressed in the future, and we discuss how these solutions may generalize to metadata production for the Semantic Web at large.

  11. Meteorological Message and Test Analysis Software for an Army Meteorological System

    National Research Council Canada - National Science Library

    Cogan, James

    2004-01-01

    ... were derived. This report also provides some sample results using real data. The message generation algorithms have become part of the overall software package for the Meteorological Measuring Set Profiler (MMS-P...

  12. Structure constrained by metadata in networks of chess players.

    Science.gov (United States)

    Almeira, Nahuel; Schaigorodsky, Ana L; Perotti, Juan I; Billoni, Orlando V

    2017-11-09

    Chess is an emblematic sport that stands out because of its age, popularity and complexity. It has served to study human behavior from the perspective of a wide number of disciplines, from cognitive skills such as memory and learning, to aspects like innovation and decision-making. Given that an extensive documentation of chess games played throughout history is available, it is possible to perform detailed and statistically significant studies about this sport. Here we use one of the most extensive chess databases in the world to construct two networks of chess players. One of the networks includes games that were played over-the-board and the other contains games played on the Internet. We study the main topological characteristics of the networks, such as degree distribution and correlations, transitivity and community structure. We complement the structural analysis by incorporating players' level of play as node metadata. Although both networks are topologically different, we show that in both cases players gather in communities according to their expertise and that an emergent rich-club structure, composed by the top-rated players, is also present.

  13. File and metadata management for BESIII distributed computing

    International Nuclear Information System (INIS)

    Nicholson, C; Zheng, Y H; Lin, L; Deng, Z Y; Li, W D; Zhang, X M

    2012-01-01

    The BESIII experiment at the Institute of High Energy Physics (IHEP), Beijing, uses the high-luminosity BEPCII e + e − collider to study physics in the π-charm energy region around 3.7 GeV; BEPCII has produced the worlds largest samples of J/φ and φ’ events to date. An order of magnitude increase in the data sample size over the 2011-2012 data-taking period demanded a move from a very centralized to a distributed computing environment, as well as the development of an efficient file and metadata management system. While BESIII is on a smaller scale than some other HEP experiments, this poses particular challenges for its distributed computing and data management system. These constraints include limited resources and manpower, and low quality of network connections to IHEP. Drawing on the rich experience of the HEP community, a system has been developed which meets these constraints. The design and development of the BESIII distributed data management system, including its integration with other BESIII distributed computing components, such as job management, are presented here.

  14. Data to Pictures to Data: Outreach Imaging Software and Metadata

    Science.gov (United States)

    Levay, Z.

    2011-07-01

    A convergence between astronomy science and digital photography has enabled a steady stream of visually rich imagery from state-of-the-art data. The accessibility of hardware and software has facilitated an explosion of astronomical images for outreach, from space-based observatories, ground-based professional facilities and among the vibrant amateur astrophotography community. Producing imagery from science data involves a combination of custom software to understand FITS data (FITS Liberator), off-the-shelf, industry-standard software to composite multi-wavelength data and edit digital photographs (Adobe Photoshop), and application of photo/image-processing techniques. Some additional effort is needed to close the loop and enable this imagery to be conveniently available for various purposes beyond web and print publication. The metadata paradigms in digital photography are now complying with FITS and science software to carry information such as keyword tags and world coordinates, enabling these images to be usable in more sophisticated, imaginative ways exemplified by Sky in Google Earth and World Wide Telescope.

  15. NOAA Ship Nancy Foster Underway Meteorological Data, Near Real Time

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Nancy Foster Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS)...

  16. NOAA Ship Delaware II Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Delaware II Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

  17. NOAA Ship Pisces Underway Meteorological Data, Near Real Time

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Pisces Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS)...

  18. Research Ship Southern Surveyor Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Research Ship Southern Surveyor Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic...

  19. NOAA Ship Miller Freeman Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Miller Freeman Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

  20. NOAA Ship Okeanos Explorer Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Okeanos Explorer Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic...

  1. NOAA Ship Gordon Gunter Underway Meteorological Data, Near Real Time

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Gordon Gunter Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS)...

  2. NOAA Ship Hi'ialakai Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Hi'ialakai Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

  3. Research Ship Healy Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Research Ship Healy Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

  4. Research Ship Nathaniel B. Palmer Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Research Ship Nathaniel B. Palmer Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and...

  5. NOAA Ship Pisces Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Pisces Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS)...

  6. Research Ship New Horizon Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Research Ship New Horizon Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic...

  7. NOAA Ship Oregon II Underway Meteorological Data, Near Real Time

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Oregon II Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS)...

  8. Research Ship Knorr Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Research Ship Knorr Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

  9. Research Ship Oceanus Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Research Ship Oceanus Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

  10. Research Ship Laurence M. Gould Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Research Ship Laurence M. Gould Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic...

  11. NOAA Ship Ronald Brown Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Ronald Brown Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

  12. NOAA Ship Oscar Dyson Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Oscar Dyson Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

  13. Research Ship Melville Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Research Ship Melville Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

  14. Research Ship Kilo Moana Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Research Ship Kilo Moana Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

  15. Research Ship Tangaroa Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Research Ship Tangaroa Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

  16. Research Ship Robert Gordon Sproul Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Research Ship Robert Gordon Sproul Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and...

  17. NOAA Ship David Starr Jordan Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship David Starr Jordan Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic...

  18. NOAA Ship Bell M. Shimada Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Bell M. Shimada Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic...

  19. Research Ship T. G. Thompson Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Research Ship T. G. Thompson Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic...

  20. NOAA Ship Ronald Brown Underway Meteorological Data, Near Real Time

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Ronald Brown Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS)...

  1. NOAA Ship Okeanos Explorer Underway Meteorological Data, Near Real Time

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Okeanos Explorer Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System...

  2. NOAA Ship Oscar Elton Sette Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Oscar Elton Sette Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic...

  3. Research Ship Atlantic Explorer Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Research Ship Atlantic Explorer Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic...

  4. NOAA Ship Ka'imimoana Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Ka'imimoana Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

  5. NOAA Ship Oscar Dyson Underway Meteorological Data, Near Real Time

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Oscar Dyson Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS)...

  6. Research Ship Aurora Australis Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Research Ship Aurora Australis Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic...

  7. NOAA Ship Oregon II Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Oregon II Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

  8. NOAA Ship Fairweather Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Fairweather Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

  9. ICON - North Norman's Patch Reef 2004 Meteorological and Oceanographic Observations

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  10. Frequency modulator. Transmission of meteorological signals in LVC

    International Nuclear Information System (INIS)

    Rivero G, P.T.; Ramirez S, R.; Gonzalez M, J.L.; Rojas N, P.; Celis del Angel, L.

    2007-01-01

    The development of the frequency modulator and demodulator circuit for transmission of meteorological signals by means of fiber optics of the meteorology station to the nuclear reactor unit 1 in the Laguna Verde Central in Veracruz is described. (Author)

  11. Research Ship Atlantis Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Research Ship Atlantis Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

  12. NOAA Ship Rainier Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Rainier Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

  13. NOAA Ship Gordon Gunter Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Gordon Gunter Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

  14. NOAA Ship Rainier Underway Meteorological Data, Near Real Time

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Rainier Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS)...

  15. NOAA Ship Fairweather Underway Meteorological Data, Near Real Time

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Fairweather Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS)...

  16. Research Ship Roger Revelle Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Research Ship Roger Revelle Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic...

  17. NOAA Ship Nancy Foster Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Nancy Foster Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

  18. NOAA Ship Henry B. Bigelow Underway Meteorological Data, Quality Controlled

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Henry B. Bigelow Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic...

  19. ICON - Salt River Bay 2010 Meteorological and Oceanographic Observations

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...

  20. ICON - Media Luna Reef 2009 Meteorological and Oceanographic Observations

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR is conducting research on the influence of meteorological and oceanographic factors upon coral...