Current direction, temperature, salinity, and taxonomic code data from moored current meter casts in the Gulf of Mexico during the Brine Disposal project, 1979-08-18 to 1981-01-21 (NODC Accession 8100502)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Temperature, salinity, current direction, and taxonomic data were collected using moored current meter casts in the Gulf of Mexico from August 18, 1979 to January...

WATER DEPTH and Other Data (NODC Accession 9200271)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The data in this accession was submitted to NODC as part of Data Rescue & Archaeology project by International Council for Exploration of the Sea (ICES),...

Asteroid taxonomic classifications

International Nuclear Information System (INIS)

Tholen, D.J.

1989-01-01

This paper reports on three taxonomic classification schemes developed and applied to the body of available color and albedo data. Asteroid taxonomic classifications according to two of these schemes are reproduced

DEPTH - OBSERVATION and Other Data (NODC Accession 9600038)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The Temperature, Salinity and Chemistry data from 12 stations in this accession was digitized at NODC from hardcopy. The data was collected as part of Global Ocean...

NODC Standard Product: World Ocean Circulation Experiment (WOCE) Global Data Resource (GDR), versions 1-3, on CD-ROM and DVD

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC produced twelve (12) CD-ROMs containing WOCE Version 1 project data in the summer of 1998. NODC produced fifteen (15) CD-ROMs containing WOCE Version 2 project...

Greenland-Iceland-Norwegian Seas Regional Climatology (NODC Accession 0112824)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — To provide an improved oceanographic foundation and reference for multi-disciplinary studies of the Greenland-Iceland-Norwegian Seas (GINS), NODC developed a new set...

NODC Standard Format Marine Birds from Coastal Alaska and Puget Sound Data (1979): Marine Bird Surveys (F041) (NODC Accession 0014160)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Marine Bird Surveys (F041) is one of a group of seven datasets related to Marine Birds from Coastal Alaska and Puget Sound Data (1979). Each dataset uses the NODC...

NODC Standard Format Marine Birds from Coastal Alaska and Puget Sound Data (1974-1982): Feeding Flock (F037) (NODC Accession 0014157)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Feeding Flock (F037) is one of a group of seven datasets related to Marine Birds from Coastal Alaska and Puget Sound Data (1974 -1982). Each dataset uses the NODC...

PESI - a taxonomic backbone for Europe

Science.gov (United States)

Kouwenberg, Juliana; Boumans, Louis; Hussey, Charles; Hyam, Roger; Nicolson, Nicola; Kirk, Paul; Paton, Alan; Michel, Ellinor; Guiry, Michael D.; Boegh, Phillip S.; Pedersen, Henrik Ærenlund; Enghoff, Henrik; von Raab-Straube, Eckhard; Güntsch, Anton; Geoffroy, Marc; Müller, Andreas; Kohlbecker, Andreas; Berendsohn, Walter; Appeltans, Ward; Arvanitidis, Christos; Vanhoorne, Bart; Declerck, Joram; Vandepitte, Leen; Hernandez, Francisco; Nash, Róisín; Costello, Mark John; Ouvrard, David; Bezard-Falgas, Pascale; Bourgoin, Thierry; Wetzel, Florian Tobias; Glöckler, Falko; Korb, Günther; Ring, Caroline; Hagedorn, Gregor; Häuser, Christoph; Aktaç, Nihat; Asan, Ahmet; Ardelean, Adorian; Borges, Paulo Alexandre Vieira; Dhora, Dhimiter; Khachatryan, Hasmik; Malicky, Michael; Ibrahimov, Shaig; Tuzikov, Alexander; De Wever, Aaike; Moncheva, Snejana; Spassov, Nikolai; Chobot, Karel; Popov, Alexi; Boršić, Igor; Sfenthourakis, Spyros; Kõljalg, Urmas; Uotila, Pertti; Olivier, Gargominy; Dauvin, Jean-Claude; Tarkhnishvili, David; Chaladze, Giorgi; Tuerkay, Michael; Legakis, Anastasios; Peregovits, László; Gudmundsson, Gudmundur; Ólafsson, Erling; Lysaght, Liam; Galil, Bella Sarah; Raimondo, Francesco M.; Domina, Gianniantonio; Stoch, Fabio; Minelli, Alessandro; Spungis, Voldermars; Budrys, Eduardas; Olenin, Sergej; Turpel, Armand; Walisch, Tania; Krpach, Vladimir; Gambin, Marie Therese; Ungureanu, Laurentia; Karaman, Gordan; Kleukers, Roy M.J.C.; Stur, Elisabeth; Aagaard, Kaare; Valland, Nils; Moen, Toril Loennechen; Bogdanowicz, Wieslaw; Tykarski, Piotr; Węsławski, Jan Marcin; Kędra, Monika; M. de Frias Martins, Antonio; Abreu, António Domingos; Silva, Ricardo; Medvedev, Sergei; Ryss, Alexander; Šimić, Smiljka; Marhold, Karol; Stloukal, Eduard; Tome, Davorin; Ramos, Marian A.; Valdés, Benito; Pina, Francisco; Kullander, Sven; Telenius, Anders; Gonseth, Yves; Tschudin, Pascal; Sergeyeva, Oleksandra; Vladymyrov, Volodymyr; Rizun, Volodymyr Bohdanovych; Raper, Chris; Lear, Dan; Stoev, Pavel; Penev, Lyubomir; Rubio, Ana Casino; Backeljau, Thierry; Saarenmaa, Hannu; Ulenberg, Sandrine

2015-01-01

Abstract Background Reliable taxonomy underpins communication in all of biology, not least nature conservation and sustainable use of ecosystem resources. The flexibility of taxonomic interpretations, however, presents a serious challenge for end-users of taxonomic concepts. Users need standardised and continuously harmonised taxonomic reference systems, as well as high-quality and complete taxonomic data sets, but these are generally lacking for non-specialists. The solution is in dynamic, expertly curated web-based taxonomic tools. The Pan-European Species-directories Infrastructure (PESI) worked to solve this key issue by providing a taxonomic e-infrastructure for Europe. It strengthened the relevant social (expertise) and information (standards, data and technical) capacities of five major community networks on taxonomic indexing in Europe, which is essential for proper biodiversity assessment and monitoring activities. The key objectives of PESI were: 1) standardisation in taxonomic reference systems, 2) enhancement of the quality and completeness of taxonomic data sets and 3) creation of integrated access to taxonomic information. New information This paper describes the results of PESI and its future prospects, including the involvement in major European biodiversity informatics initiatives and programs. PMID:26491393

Reasoning over taxonomic change: exploring alignments for the Perelleschus use case.

Science.gov (United States)

Franz, Nico M; Chen, Mingmin; Yu, Shizhuo; Kianmajd, Parisa; Bowers, Shawn; Ludäscher, Bertram

2015-01-01

Classifications and phylogenetic inferences of organismal groups change in light of new insights. Over time these changes can result in an imperfect tracking of taxonomic perspectives through the re-/use of Code-compliant or informal names. To mitigate these limitations, we introduce a novel approach for aligning taxonomies through the interaction of human experts and logic reasoners. We explore the performance of this approach with the Perelleschus use case of Franz & Cardona-Duque (2013). The use case includes six taxonomies published from 1936 to 2013, 54 taxonomic concepts (i.e., circumscriptions of names individuated according to their respective source publications), and 75 expert-asserted Region Connection Calculus articulations (e.g., congruence, proper inclusion, overlap, or exclusion). An Open Source reasoning toolkit is used to analyze 13 paired Perelleschus taxonomy alignments under heterogeneous constraints and interpretations. The reasoning workflow optimizes the logical consistency and expressiveness of the input and infers the set of maximally informative relations among the entailed taxonomic concepts. The latter are then used to produce merge visualizations that represent all congruent and non-congruent taxonomic elements among the aligned input trees. In this small use case with 6-53 input concepts per alignment, the information gained through the reasoning process is on average one order of magnitude greater than in the input. The approach offers scalable solutions for tracking provenance among succeeding taxonomic perspectives that may have differential biases in naming conventions, phylogenetic resolution, ingroup and outgroup sampling, or ostensive (member-referencing) versus intensional (property-referencing) concepts and articulations.

NODC Standard Product: International ocean atlas Volume 11 - Climatic atlas of the Sea of Azov 2008 (1 disc set) (NODC Accession 0098574)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This Atlas, Climatic Atlas of the Sea of Azov 2008 on CD-ROM, is an update to Volume 10, Climatic Atlas of the Sea of Azov 2006 on CD-ROM (NODC Accession 0098572),...

NODC Standard Format Marine Birds from Coastal Alaska and Puget Sound Data (1975-1980): Marine Bird Sighting, Land Census (F034) (NODC Accession 0014156)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Standard Marine Bird Sighting, Land Census (F034) is one of a group of seven datasets related to Marine Birds from Coastal Alaska and Puget Sound Data (1975...

Building a Taxonomic Data Editor: ITIS Taxonomic Workbench 6.0

OpenAIRE

Mitchell,David; Bowman,Lisa; Brockmeier,Christopher

2017-01-01

The Integrated Taxonomic Information System (ITIS - www.itis.gov) provides a regularly updated global database that currently contains over 840,000 scientific names and their hierarchy. A new rich Internet application for adding and editing ITIS data, Taxonomic Workbench 6.0, is being developed using the AngularJS framework. AngularJS is designed to take advantage of many features that are fairly recent to the web platform, facilitates a well-structured product that is easier to maintain, and...

Temperature, salinity, and sound speed profile data from the US Naval Oceanographic Office (NAVOCEANO) Master Oceanographic Observation Data Set (MOODS), 2002 update (NODC Accession 0000768)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — In 2002, the US Naval Oceanographic Office (NAVOCEANO) submitted these data to NODC in accordance with a Memorandum of Agreement between NODC and NAVOCEANO to...

Exploring historical trends using taxonomic name metadata

Directory of Open Access Journals (Sweden)

Schenk Ryan

2008-05-01

Full Text Available Abstract Background Authority and year information have been attached to taxonomic names since Linnaean times. The systematic structure of taxonomic nomenclature facilitates the ability to develop tools that can be used to explore historical trends that may be associated with taxonomy. Results From the over 10.7 million taxonomic names that are part of the uBio system 4, approximately 3 million names were identified to have taxonomic authority information from the years 1750 to 2004. A pipe-delimited file was then generated, organized according to a Linnaean hierarchy and by years from 1750 to 2004, and imported into an Excel workbook. A series of macros were developed to create an Excel-based tool and a complementary Web site to explore the taxonomic data. A cursory and speculative analysis of the data reveals observable trends that may be attributable to significant events that are of both taxonomic (e.g., publishing of key monographs and societal importance (e.g., world wars. The findings also help quantify the number of taxonomic descriptions that may be made available through digitization initiatives. Conclusion Temporal organization of taxonomic data can be used to identify interesting biological epochs relative to historically significant events and ongoing efforts. We have developed an Excel workbook and complementary Web site that enables one to explore taxonomic trends for Linnaean taxonomic groupings, from Kingdoms to Families.

The evolution of the mitochondrial genetic code in arthropods revisited.

Science.gov (United States)

Abascal, Federico; Posada, David; Zardoya, Rafael

2012-04-01

A variant of the invertebrate mitochondrial genetic code was previously identified in arthropods (Abascal et al. 2006a, PLoS Biol 4:e127) in which, instead of translating the AGG codon as serine, as in other invertebrates, some arthropods translate AGG as lysine. Here, we revisit the evolution of the genetic code in arthropods taking into account that (1) the number of arthropod mitochondrial genomes sequenced has triplicated since the original findings were published; (2) the phylogeny of arthropods has been recently resolved with confidence for many groups; and (3) sophisticated probabilistic methods can be applied to analyze the evolution of the genetic code in arthropod mitochondria. According to our analyses, evolutionary shifts in the genetic code have been more common than previously inferred, with many taxonomic groups displaying two alternative codes. Ancestral character-state reconstruction using probabilistic methods confirmed that the arthropod ancestor most likely translated AGG as lysine. Point mutations at tRNA-Lys and tRNA-Ser correlated with the meaning of the AGG codon. In addition, we identified three variables (GC content, number of AGG codons, and taxonomic information) that best explain the use of each of the two alternative genetic codes.

[Taxonomic theory for non-classical systematics].

Science.gov (United States)

Pavlinov, I Ia

2012-01-01

Outlined briefly are basic principles of construing general taxonomic theory for biological systematics considered in the context of non-classical scientific paradigm. The necessity of such kind of theory is substantiated, and some key points of its elaboration are exposed: its interpretation as a framework concept for the partial taxonomic theories in various schools of systematics; elaboration of idea of cognitive situation including three interrelated components, namely subject, object, and epistemic ones; its construing as a content-wisely interpreted quasi-axiomatics, with strong structuring of its conceptual space including demarcation between axioms and inferring rules; its construing as a "conceptual pyramid" of concepts of various levels of generality; inclusion of a basic model into definition of the taxonomic system (classification) regulating its content. Two problems are indicated as fundamental: definition of taxonomic diversity as a subject domain for the systematics as a whole; definition of onto-epistemological status of taxonomic system (classification) in general and of taxa in particular.

Taxonomic and ad hoc categorization within the two cerebral hemispheres.

Science.gov (United States)

Shen, Yeshayahu; Aharoni, Bat-El; Mashal, Nira

2015-01-01

A typicality effect refers to categorization which is performed more quickly or more accurately for typical than for atypical members of a given category. Previous studies reported a typicality effect for category members presented in the left visual field/right hemisphere (RH), suggesting that the RH applies a similarity-based categorization strategy. However, findings regarding the typicality effect within the left hemisphere (LH) are less conclusive. The current study tested the pattern of typicality effects within each hemisphere for both taxonomic and ad hoc categories, using words presented to the left or right visual fields. Experiment 1 tested typical and atypical members of taxonomic categories as well as non-members, and Experiment 2 tested typical and atypical members of ad hoc categories as well as non-members. The results revealed a typicality effect in both hemispheres and in both types of categories. Furthermore, the RH categorized atypical stimuli more accurately than did the LH. Our findings suggest that both hemispheres rely on a similarity-based categorization strategy, but the coarse semantic coding of the RH seems to facilitate the categorization of atypical members.

mPUMA: a computational approach to microbiota analysis by de novo assembly of operational taxonomic units based on protein-coding barcode sequences.

Science.gov (United States)

Links, Matthew G; Chaban, Bonnie; Hemmingsen, Sean M; Muirhead, Kevin; Hill, Janet E

2013-08-15

Formation of operational taxonomic units (OTU) is a common approach to data aggregation in microbial ecology studies based on amplification and sequencing of individual gene targets. The de novo assembly of OTU sequences has been recently demonstrated as an alternative to widely used clustering methods, providing robust information from experimental data alone, without any reliance on an external reference database. Here we introduce mPUMA (microbial Profiling Using Metagenomic Assembly, http://mpuma.sourceforge.net), a software package for identification and analysis of protein-coding barcode sequence data. It was developed originally for Cpn60 universal target sequences (also known as GroEL or Hsp60). Using an unattended process that is independent of external reference sequences, mPUMA forms OTUs by DNA sequence assembly and is capable of tracking OTU abundance. mPUMA processes microbial profiles both in terms of the direct DNA sequence as well as in the translated amino acid sequence for protein coding barcodes. By forming OTUs and calculating abundance through an assembly approach, mPUMA is capable of generating inputs for several popular microbiota analysis tools. Using SFF data from sequencing of a synthetic community of Cpn60 sequences derived from the human vaginal microbiome, we demonstrate that mPUMA can faithfully reconstruct all expected OTU sequences and produce compositional profiles consistent with actual community structure. mPUMA enables analysis of microbial communities while empowering the discovery of novel organisms through OTU assembly.

Charting taxonomic knowledge through ontologies and ranking algorithms

Science.gov (United States)

Huber, Robert; Klump, Jens

2009-04-01

Since the inception of geology as a modern science, paleontologists have described a large number of fossil species. This makes fossilized organisms an important tool in the study of stratigraphy and past environments. Since taxonomic classifications of organisms, and thereby their names, change frequently, the correct application of this tool requires taxonomic expertise in finding correct synonyms for a given species name. Much of this taxonomic information has already been published in journals and books where it is compiled in carefully prepared synonymy lists. Because this information is scattered throughout the paleontological literature, it is difficult to find and sometimes not accessible. Also, taxonomic information in the literature is often difficult to interpret for non-taxonomists looking for taxonomic synonymies as part of their research. The highly formalized structure makes Open Nomenclature synonymy lists ideally suited for computer aided identification of taxonomic synonyms. Because a synonymy list is a list of citations related to a taxon name, its bibliographic nature allows the application of bibliometric techniques to calculate the impact of synonymies and taxonomic concepts. TaxonRank is a ranking algorithm based on bibliometric analysis and Internet page ranking algorithms. TaxonRank uses published synonymy list data stored in TaxonConcept, a taxonomic information system. The basic ranking algorithm has been modified to include a measure of confidence on species identification based on the Open Nomenclature notation used in synonymy list, as well as other synonymy specific criteria. The results of our experiments show that the output of the proposed ranking algorithm gives a good estimate of the impact a published taxonomic concept has on the taxonomic opinions in the geological community. Also, our results show that treating taxonomic synonymies as part of on an ontology is a way to record and manage taxonomic knowledge, and thus contribute

Physical and chemical properties of San Francisco Bay waters, 1969-1976 (NODC Accession 8400194)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — One magnetic tape containing the physical and chemical properties of San Francisco Bay waters was forwarded to NODC by Mr. Richard Smith of the U.S Geological Survey...

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.

Taxonomic chauvinism revisited: insight from parental care research.

Directory of Open Access Journals (Sweden)

Zachary R Stahlschmidt

Full Text Available Parental care (any non-genetic contribution by a parent that appears likely to increase the fitness of its offspring is a widespread trait exhibited by a broad range of animal taxa. In addition to influencing the fitness of parent(s and offspring, parental care may be inextricably involved in other evolutionary processes, such as sexual selection and the evolution of endothermy. Yet, recent work has demonstrated that bias related to taxonomy is prevalent across many biological disciplines, and research in parental care may be similarly burdened. Thus, I used parental care articles published in six leading journals of fundamental behavioral sciences (Animal Behaviour, Behavioral Ecology, Behavioral Ecology and Sociobiology, Ethology, Hormones and Behavior, and Physiology & Behavior from 2001-2010 (n = 712 to examine the year-to-year dynamics of two types of bias related to taxonomy across animals: (1 taxonomic bias, which exists when research output is not proportional to the frequency of organisms in nature, and (2 taxonomic citation bias, which is a proxy for the breadth of a given article-specifically, the proportion of articles cited that refer solely to the studied taxon. I demonstrate that research on birds likely represents a disproportionate amount of parental care research and, thus, exhibits taxonomic bias. Parental care research on birds and mammals also refers to a relatively narrow range of taxonomic groups when discussing its context and, thus, exhibits taxonomic citation bias. Further, the levels of taxonomic bias and taxonomic citation bias have not declined over the past decade despite cautionary messages about similar bias in related disciplines--in fact, taxonomic bias may have increased. As in Bonnet et al. (2002, my results should not be interpreted as evidence of an 'ornithological Mafia' conspiring to suppress other taxonomic groups. Rather, I generate several rational hypotheses to determine why bias persists and to

Taxonomic chauvinism revisited: insight from parental care research.

Science.gov (United States)

Stahlschmidt, Zachary R

2011-01-01

Parental care (any non-genetic contribution by a parent that appears likely to increase the fitness of its offspring) is a widespread trait exhibited by a broad range of animal taxa. In addition to influencing the fitness of parent(s) and offspring, parental care may be inextricably involved in other evolutionary processes, such as sexual selection and the evolution of endothermy. Yet, recent work has demonstrated that bias related to taxonomy is prevalent across many biological disciplines, and research in parental care may be similarly burdened. Thus, I used parental care articles published in six leading journals of fundamental behavioral sciences (Animal Behaviour, Behavioral Ecology, Behavioral Ecology and Sociobiology, Ethology, Hormones and Behavior, and Physiology & Behavior) from 2001-2010 (n = 712) to examine the year-to-year dynamics of two types of bias related to taxonomy across animals: (1) taxonomic bias, which exists when research output is not proportional to the frequency of organisms in nature, and (2) taxonomic citation bias, which is a proxy for the breadth of a given article-specifically, the proportion of articles cited that refer solely to the studied taxon. I demonstrate that research on birds likely represents a disproportionate amount of parental care research and, thus, exhibits taxonomic bias. Parental care research on birds and mammals also refers to a relatively narrow range of taxonomic groups when discussing its context and, thus, exhibits taxonomic citation bias. Further, the levels of taxonomic bias and taxonomic citation bias have not declined over the past decade despite cautionary messages about similar bias in related disciplines--in fact, taxonomic bias may have increased. As in Bonnet et al. (2002), my results should not be interpreted as evidence of an 'ornithological Mafia' conspiring to suppress other taxonomic groups. Rather, I generate several rational hypotheses to determine why bias persists and to guide future

A Falsification of the Citation Impediment in the Taxonomic Literature.

Science.gov (United States)

Steiner, Florian M; Pautasso, Marco; Zettel, Herbert; Moder, Karl; Arthofer, Wolfgang; Schlick-Steiner, Birgit C

2015-09-01

Current science evaluation still relies on citation performance, despite criticisms of purely bibliometric research assessments. Biological taxonomy suffers from a drain of knowledge and manpower, with poor citation performance commonly held as one reason for this impediment. But is there really such a citation impediment in taxonomy? We compared the citation numbers of 306 taxonomic and 2291 non-taxonomic research articles (2009-2012) on mosses, orchids, ciliates, ants, and snakes, using Web of Science (WoS) and correcting for journal visibility. For three of the five taxa, significant differences were absent in citation numbers between taxonomic and non-taxonomic papers. This was also true for all taxa combined, although taxonomic papers received more citations than non-taxonomic ones. Our results show that, contrary to common belief, taxonomic contributions do not generally reduce a journal's citation performance and might even increase it. The scope of many journals rarely featuring taxonomy would allow editors to encourage a larger number of taxonomic submissions. Moreover, between 1993 and 2012, taxonomic publications accumulated faster than those from all biological fields. However, less than half of the taxonomic studies were published in journals in WoS. Thus, editors of highly visible journals inviting taxonomic contributions could benefit from taxonomy's strong momentum. The taxonomic output could increase even more than at its current growth rate if: (i) taxonomists currently publishing on other topics returned to taxonomy and (ii) non-taxonomists identifying the need for taxonomic acts started publishing these, possibly in collaboration with taxonomists. Finally, considering the high number of taxonomic papers attracted by the journal Zootaxa, we expect that the taxonomic community would indeed use increased chances of publishing in WoS indexed journals. We conclude that taxonomy's standing in the present citation-focused scientific landscape could

Controlling the taxonomic variable: Taxonomic concept resolution for a southeastern United States herbarium portal

Directory of Open Access Journals (Sweden)

Nico Franz

2016-09-01

Full Text Available Overview. Taxonomic names are imperfect identifiers of specific and sometimes conflicting taxonomic perspectives in aggregated biodiversity data environments. The inherent ambiguities of names can be mitigated using syntactic and semantic conventions developed under the taxonomic concept approach. These include: (1 representation of taxonomic concept labels (TCLs: name sec. source to precisely identify name usages and meanings, (2 use of parent/child relationships to assemble separate taxonomic perspectives, and (3 expert provision of Region Connection Calculus articulations (RCC–5: congruence, [inverse] inclusion, overlap, exclusion that specify how data identified to different-sourced TCLs can be integrated. Application of these conventions greatly increases trust in biodiversity data networks, most of which promote unitary taxonomic 'syntheses' that obscure the actual diversity of expert-held views. Better design solutions allow users to control the taxonomic variable and thereby assess the robustness of their biological inferences under different perspectives. A unique constellation of prior efforts – including the powerful Symbiota collections software platform, the Euler/X multi-taxonomy alignment toolkit, and the "Weakley Flora" which entails 7,000 concepts and more than 75,000 RCC–5 articulations – provides the opportunity to build a first full-scale concept resolution service for SERNEC, the SouthEast Regional Network of Expertise and Collections, currently with 60 member herbaria and 2 million occurrence records. Intellectual merit. We have developed a multi-dimensional, step-wise plan to transition SERNEC's data culture from name- to concept-based practices. (1 We will engage SERNEC experts through annual, regional workshops and follow-up interactions that will foster buy-in and ultimately the completion of 12 community-identified use cases. (2. We will leverage RCC–5 data from the Weakley Flora and further development of

Temperature, salinity, and other measurements collected using gliders in the Gulf of Mexico (NODC Accession 0065238)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Glider oceanographic data (temperature, salinity) collected in support of the Deepwater Horizon oil spill event in the Gulf of Mexico (NODC Accession 0065238).

NOAA South Carolina oyster mapping orthoimagery, collection subset 3 of 5, 2003-2005 (NODC Accession 0084750)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data set, 3 of 5 archived at the NODC, contains digital orthophotography. The data set presents information that represented conditions for the specified...

NOAA South Carolina oyster mapping orthoimagery, collection subset 2 of 5, 2003-2005 (NODC Accession 0084749)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data set, 2 of 5 archived at the NODC, contains digital orthophotography. The data set presents information that represented conditions for the specified...

NOAA South Carolina oyster mapping orthoimagery, collection subset 4 of 5, 2003-2005 (NODC Accession 0084751)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data set, 4 of 5 archived at the NODC, contains digital orthophotography. The data set presents information that represented conditions for the specified...

NOAA South Carolina oyster mapping orthoimagery, collection subset 1 of 5, 2003-2005 (NODC Accession 0084621)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data set, 1 of 5 archived at the NODC, contains digital orthophotography. The data set presents information that represented conditions for the specified...

NOAA South Carolina oyster mapping orthoimagery, collection subset 5 of 5, 2003-2005 (NODC Accession 0084752)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data set, 5 of 5 archived at the NODC, contains digital orthophotography. The data set presents information that represented conditions for the specified...

Converting Taxonomic Descriptions to New Digital Formats

Directory of Open Access Journals (Sweden)

Hong Cui

2008-01-01

Full Text Available Abstract.--The majority of taxonomic descriptions is currently in print format. The majority of digital descriptions are in formats such as DOC, HTML, or PDF and for human readers. These formats do not convey rich semantics in taxonomic descriptions for computer-aided process. Newer digital formats such as XML and RDF accommodate semantic annotations that allow computers to process the rich semantics on human's behalf, thus open up opportunities for a wide range of innovative usages of taxonomic descriptions, such as searching in more precise and flexible ways, integrating with gnomic and geographic information, generating taxonomic keys automatically, and text data mining and information visualization etc. This paper discusses the challenges in automated conversion of multiple collections of descriptions to XML format and reports an automated system, MARTT. MARTT is a machine-learning system that makes use of training examples to tag new descriptions into XML format. A number of utilities are implemented as solutions to the challenges. The utilities are used to reduce the effort for training example preparation, to facilitate the creation of a comprehensive schema, and to predict system performance on a new collection of descriptions. The system has been tested with several plant and alga taxonomic publications including Flora of China and Flora of North America.

Taxonomic relationships of some species of orobanche l. evidence from rapd-pcr and issr markers

International Nuclear Information System (INIS)

Sharawy, S.; Karakish, E.

2015-01-01

The taxonomic relationships among 25 samples representing nine species of Orobanche L. (Orobanchaceae) were determined by the analysis of morphological characters and molecular polymorphism using random amplified polymorphic DNA (RAPD) and inter simple sequence repeat (ISSR). In order to construct dendrogram elucidating the relationships among the examined taxa, the coded data were analyzed using the software package NTSYS-pc 2.1 based on the Neighbor-joining (NJ) tree building method based on a distance matrix. The aim of this study is to develop taxonomic relationship based on morphological and molecular data, in order to obtain a more reliable taxonomic relationship of Orobanche species under study. The dendrogram produced by the analysis of the molecular data (RAPD and ISSR) resembled that constructed by NJ dendrogram for the morphological variation. The studied taxa were separated in two groups, the first comprised of the five species of section Trionychon (O. purpurea, O.lavandulacea, O. ramosa, O. mutelii and O. aegyptiaca) and the second comprised of the four species of section Orobanche (O.cernua, O. crenata, O. minor and O. pubescens). High similarity was detected between O. pubescens and O. minor. The results confirmed the close relationship between O. ramosa and O. mutelii. Moreover, this study demonstrated the grouping of the studied taxa in most cases by geographically isolated population. (author)

CURRENT - DIRECTION and Other Data from UNKNOWN From World-Wide Distribution from 19350101 to 19781231 (NODC Accession 8800247)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains NODC station data spanning from January 1935 to December 1978. The data set contains quality controlled station data profiles for standard...

Delayed CTD data submitted by INIDEP ranging from 11/26/1984 - 10/16/1989 (NODC Accession 0039468)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — CTD data were collected in the South Atlantic aboard the Oca Balda from 26 November 1984 to 16 October 1989. These data were submitted to NODC by the INSTITUTO...

Current Taxonomical Situation of Streptococcus suis.

Science.gov (United States)

Okura, Masatoshi; Osaki, Makoto; Nomoto, Ryohei; Arai, Sakura; Osawa, Ro; Sekizaki, Tsutomu; Takamatsu, Daisuke

2016-06-24

Streptococcus suis, a major porcine pathogen and an important zoonotic agent, is considered to be composed of phenotypically and genetically diverse strains. However, recent studies reported several "S. suis-like strains" that were identified as S. suis by commonly used methods for the identification of this bacterium, but were regarded as distinct species from S. suis according to the standards of several taxonomic analyses. Furthermore, it has been suggested that some S. suis-like strains can be assigned to several novel species. In this review, we discuss the current taxonomical situation of S. suis with a focus on (1) the classification history of the taxon of S. suis; (2) S. suis-like strains revealed by taxonomic analyses; (3) methods for detecting and identifying this species, including a novel method that can distinguish S. suis isolates from S. suis-like strains; and (4) current topics on the reclassification of S. suis-like strains.

Taxonomic bias in biodiversity data and societal preferences.

Science.gov (United States)

Troudet, Julien; Grandcolas, Philippe; Blin, Amandine; Vignes-Lebbe, Régine; Legendre, Frédéric

2017-08-22

Studying and protecting each and every living species on Earth is a major challenge of the 21 st century. Yet, most species remain unknown or unstudied, while others attract most of the public, scientific and government attention. Although known to be detrimental, this taxonomic bias continues to be pervasive in the scientific literature, but is still poorly studied and understood. Here, we used 626 million occurrences from the Global Biodiversity Information Facility (GBIF), the biggest biodiversity data portal, to characterize the taxonomic bias in biodiversity data. We also investigated how societal preferences and taxonomic research relate to biodiversity data gathering. For each species belonging to 24 taxonomic classes, we used the number of publications from Web of Science and the number of web pages from Bing searches to approximate research activity and societal preferences. Our results show that societal preferences, rather than research activity, strongly correlate with taxonomic bias, which lead us to assert that scientists should advertise less charismatic species and develop societal initiatives (e.g. citizen science) that specifically target neglected organisms. Ensuring that biodiversity is representatively sampled while this is still possible is an urgent prerequisite for achieving efficient conservation plans and a global understanding of our surrounding environment.

The Taxonomic Significance of Species That Have Only Been Observed Once: The Genus Gymnodinium (Dinoflagellata) as an Example

OpenAIRE

Thessen, Anne E.; Patterson, David J.; Murray, Shauna A.

2012-01-01

Taxonomists have been tasked with cataloguing and quantifying the Earth's biodiversity. Their progress is measured in code-compliant species descriptions that include text, images, type material and molecular sequences. It is from this material that other researchers are to identify individuals of the same species in future observations. It has been estimated that 13% to 22% (depending on taxonomic group) of described species have only ever been observed once. Species that have only been obse...

Temperature, salinity, nutrients, and meteorological data collected from 1926 to 1991 aboard multiple platforms in Caspian Sea (NODC Accession 0072200)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0072200 contains temperature, salinity, nutrients, and meteorological data collected from 1926 to 1991 aboard multiple platforms in Caspian Sea.

Comparing the temporal dynamics of thematic and taxonomic processing using event-related potentials.

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Olivera Savic

Full Text Available We report the results of a study comparing the temporal dynamics of thematic and taxonomic knowledge activation in a picture-word priming paradigm using event-related potentials. Although we found no behavioral differences between thematic and taxonomic processing, ERP data revealed distinct patterns of N400 and P600 amplitude modulation for thematic and taxonomic priming. Thematically related target stimuli elicited less negativity than taxonomic targets between 280-460 ms after stimulus onset, suggesting easier semantic processing of thematic than taxonomic relationships. Moreover, P600 mean amplitude was significantly increased for taxonomic targets between 520-600 ms, consistent with a greater need for stimulus reevaluation in that condition. These results offer novel evidence in favor of a dissociation between thematic and taxonomic thinking in the early phases of conceptual evaluation.

Comparing the temporal dynamics of thematic and taxonomic processing using event-related potentials.

Science.gov (United States)

Savic, Olivera; Savic, Andrej M; Kovic, Vanja

2017-01-01

We report the results of a study comparing the temporal dynamics of thematic and taxonomic knowledge activation in a picture-word priming paradigm using event-related potentials. Although we found no behavioral differences between thematic and taxonomic processing, ERP data revealed distinct patterns of N400 and P600 amplitude modulation for thematic and taxonomic priming. Thematically related target stimuli elicited less negativity than taxonomic targets between 280-460 ms after stimulus onset, suggesting easier semantic processing of thematic than taxonomic relationships. Moreover, P600 mean amplitude was significantly increased for taxonomic targets between 520-600 ms, consistent with a greater need for stimulus reevaluation in that condition. These results offer novel evidence in favor of a dissociation between thematic and taxonomic thinking in the early phases of conceptual evaluation.

Taxonomic research priorities for the conservation of the South African flora

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Lize von Staden

2013-04-01

Full Text Available Taxonomic revisions, monographs and floras are the most important, and often the only source of data for assessing the extinction risk of plants, with recent revisions contributing to more accurate assessments. The recently completed Red List of South African plants involved an overview of the taxonomic literature pertaining to the South African flora, providing an opportunity to identify critical gaps in taxonomic coverage. In this study we identified taxonomic research priorities for effective conservation of South African plants. Priorities were identified at genus level, according to time since last revision, level of endemism, collecting effort, proportion of taxa included in revisions, and specimen identification confidence. Although the results indicate that 62% of the flora has been recently revised, revisionary taxonomic output has declined drastically, particularly in the past 10 years. This decline is a result of a decrease in revisionary productivity per taxonomist and not a result of a decline in the number of working taxonomists. The family Aizoaceae is the top priority for taxonomic research with 55% of taxa in need of revision, followed by Hyacinthaceae with 34% of taxa not yet revised. Ericaceae, Euphorbiaceae, Rutaceae, Malvaceae, Asteraceae and Acanthaceae are also priorities with over 30% of taxa last revised before 1970. We recommend the reinstatement of the Flora of Southern Africa project in an online format in order to centralise South Africa's existing taxonomic information and reinvigorate revisionary taxonomic study. This project will allow South Africa to fulfil its commitments to the Convention on Biodiversity by achieving Target 1 of the Global Strategy for Plant Conservation.

Taxonomic revision of Pachyptera (Bignonieae, Bignoniaceae

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Jessica Nayara Carvalho Francisco

2018-01-01

Full Text Available Pachyptera DC. is a small genus of neotropical lianas included in tribe Bignonieae (Bignoniaceae. The genus has a complicated taxonomic history but currently includes species distributed from Belize to Southern Amazon. Pachyptera is characterised by four main synapomorphies, namely, a papery peeling bark, prophylls of the axillary buds organised in a series of three, patelliform glands arranged in lines in the upper portions of the calyx and corolla tube. Furthermore, members of the genus also have stems with four phloem wedges in cross-section and conspicuous extrafloral nectaries between the interpetiolar region and at the petiole apex, although these characters are also shared with other genera of tribe Bignonieae. Here, we present a taxonomic revision of Pachyptera, which includes a complete list of synonyms, detailed morphological descriptions of species and an identification key, as well as information on the habitat, distribution and phenology, nomenclatural notes, taxonomic comments and illustrations of all the species. In addition, we designate three lectotypes, propose one new combination, raise one variety to species status and describe a new species. After these adjustments, a Pachyptera with five well-defined species is recognised.

Taxonomic revision of Pachyptera (Bignonieae, Bignoniaceae).

Science.gov (United States)

Francisco, Jessica Nayara Carvalho; Lohmann, Lúcia G

2018-01-01

Pachyptera DC. is a small genus of neotropical lianas included in tribe Bignonieae (Bignoniaceae). The genus has a complicated taxonomic history but currently includes species distributed from Belize to Southern Amazon. Pachyptera is characterised by four main synapomorphies, namely, a papery peeling bark, prophylls of the axillary buds organised in a series of three, patelliform glands arranged in lines in the upper portions of the calyx and corolla tube. Furthermore, members of the genus also have stems with four phloem wedges in cross-section and conspicuous extrafloral nectaries between the interpetiolar region and at the petiole apex, although these characters are also shared with other genera of tribe Bignonieae. Here, we present a taxonomic revision of Pachyptera , which includes a complete list of synonyms, detailed morphological descriptions of species and an identification key, as well as information on the habitat, distribution and phenology, nomenclatural notes, taxonomic comments and illustrations of all the species. In addition, we designate three lectotypes, propose one new combination, raise one variety to species status and describe a new species. After these adjustments, a Pachyptera with five well-defined species is recognised.

Status of Coral Communities in American Samoa: A Re-survey of Long-term Monitoring Sites in 2002 (NODC Accession 0001470)

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National Oceanic and Atmospheric Administration, Department of Commerce — This data set consists of an MS Word file which documents and summarizes data previously submitted as MS Excel spreadsheets to the NOAA data centers, NODC ACCESSION...

Surveys of Selected Coral and Fish Assemblages Adjacent to the Waianae Ocean Outfall, Oahu, Hawaii, 2003-2010 (NODC Accession 0084515)

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National Oceanic and Atmospheric Administration, Department of Commerce — Since 1990, biota of the coral reef ecosystems have been annualy monitored at stations located at and in the vicinity of the Waianae Ocean Sewage Outfall. NODC...

Temperature and salinity measurements taken by instrumented elephant seals (SEaOS) from 2004-02-24 to 2007-01-17 (NODC Accession 0012881)

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National Oceanic and Atmospheric Administration, Department of Commerce — Temperature and salinity measurements taken from elephant seals in the Antarctic, Coastal South Indian Ocean and other locations from 2004 to 2006 (NODC Accession...

Cloud amount/frequency, NITRATE and other data from unknown platforms from 1975-01-18 to 1975-02-23 (NODC Accession 7900147)

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National Oceanic and Atmospheric Administration, Department of Commerce — Water depth and other data from 18 January 1975 to 23 February 1975. Data were collected by National Ocean Data Center (NODC) as part of the International Decade of...

Oceanographic profile Temperature, Salinity, and pressure measurements collected using profiling floats in the World Ocean from 1950 to 2006 (NODC Accession 0010599)

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National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Bottle profile data collected aboard the USCGC SENECA in the Atlantic Ocean from 2 April 1915 to 20 May 1915 (NODC Accession 9700096)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 9700096 contains temperature and salinity profile data from bottle casts collected aboard the USCGC Seneca in the Grand Banks of Newfoundland and...

Integrating DNA barcode data and taxonomic practice: determination, discovery, and description.

Science.gov (United States)

Goldstein, Paul Z; DeSalle, Rob

2011-02-01

DNA barcodes, like traditional sources of taxonomic information, are potentially powerful heuristics in the identification of described species but require mindful analytical interpretation. The role of DNA barcoding in generating hypotheses of new taxa in need of formal taxonomic treatment is discussed, and it is emphasized that the recursive process of character evaluation is both necessary and best served by understanding the empirical mechanics of the discovery process. These undertakings carry enormous ramifications not only for the translation of DNA sequence data into taxonomic information but also for our comprehension of the magnitude of species diversity and its disappearance. This paper examines the potential strengths and pitfalls of integrating DNA sequence data, specifically in the form of DNA barcodes as they are currently generated and analyzed, with taxonomic practice.

and Epigenetic Dysregulation in Diabetes-prone Bicongenic B6.NODC11bxC1tb Mice

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Erin Garrigan

2015-01-01

Full Text Available In Type 1 diabetic (T1D human monocytes, STAT5 aberrantly binds to epigenetic regulatory sites of two proinflammatory genes, CSF2 (encoding granulocyte–macrophage colony-stimulating factor and PTGS2 (encoding prostaglandin synthase 2/cyclooxygenase 2. Bicongenic B6.NOD C11bxC1tb mice re-create this phenotype of T1D monocytes with only two nonobese diabetic (NOD Idd subloci (130.8 Mb–149.7 Mb, of Idd5 on Chr 1 and 32.08–53.85 Mb of Idd4.3 on Chr11 on C57BL/6 genetic background. These two Idd loci interact through STAT5 binding at upstream regulatory regions affecting Csf2 ( Chr 11 and Ptgs2 ( Chr 1 expression. B6.NODC11bxC1tb mice exhibited hyperglycemia and immune destruction of pancreatic islets between 8 and 30 weeks of age, with 12%–22% penetrance. Thus, B6.NODC11bxC1tb mice embody NOD epigenetic dysregulation of gene expression in myeloid cells, and this defect appears to be sufficient to impart genetic susceptibility to diabetes in an otherwise genetically nonautoimmune mouse.

Oceanographic temperature and salinity measurements collected using CTD and XBT from URANIA in the Mediterranean Sea from 2001 to 2002 (NODC Accession 0043698)

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National Oceanic and Atmospheric Administration, Department of Commerce — Temperature, tritium and other measurements found in datasets XBT and CTD taken from the URANIA (Call sign IQSU) in the Mediteranean from 2001 to 2002 (NODC...

Oceanographic profile temperature and salinity measurements collected using bottle from the STEFAN MALYGIN and SAMOED in the Arctic in 1931 (NODC Accession 0001090)

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National Oceanic and Atmospheric Administration, Department of Commerce — Temperature, salinity, and meteorology data received at NODC on 05/02/03 by Igor Smolyar from the personal library of Dr. Aleksey Zuyev, Murmansk Branch of the...

Oceanographic profile temperature, salinity, oxygen, nutrients, and plankton measurements collected using bottle from the Parizeau in the North Pacific Ocean (NODC Accession 0002242)

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National Oceanic and Atmospheric Administration, Department of Commerce — Temperature, salinity, oxygen and other profile data received at NODC on 09/09/04 by Sydney Levitus from the Institute of Ocean Sciences (Sidney, B.C.), digitized...

FANTOM: Functional and taxonomic analysis of metagenomes

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Sanli Kemal

2013-02-01

Full Text Available Abstract Background Interpretation of quantitative metagenomics data is important for our understanding of ecosystem functioning and assessing differences between various environmental samples. There is a need for an easy to use tool to explore the often complex metagenomics data in taxonomic and functional context. Results Here we introduce FANTOM, a tool that allows for exploratory and comparative analysis of metagenomics abundance data integrated with metadata information and biological databases. Importantly, FANTOM can make use of any hierarchical database and it comes supplied with NCBI taxonomic hierarchies as well as KEGG Orthology, COG, PFAM and TIGRFAM databases. Conclusions The software is implemented in Python, is platform independent, and is available at http://www.sysbio.se/Fantom.

Expressão dos genes nodC, nodW e nopP em Bradyrhizobium japonicum estirpe CPAC 15 avaliada por RT-qPCR Expression of nodC, nodW and nopP genes in Bradyrhizobium japonicum CPAC 15 strain evaluated by RT-qPCR

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Simone Bortolan

2009-11-01

Full Text Available O objetivo deste trabalho foi avaliar a expressão, por RT-qPCR, dos genes de nodulação nodC e nodW e do gene nopP da estirpe CPAC 15, que provavelmente atuam na infecção das raízes da soja. Foram realizados dois experimentos. No primeiro, a expressão dos genes foi avaliada nas células após a incubação com genisteína por 15 min, 1, 4 e 8 horas. Os resultados revelaram que os três genes apresentaram maior expressão imediatamente após o contato com o indutor (15 min. No segundo experimento, a bactéria foi cultivada na presença de indutores (genisteína ou exsudatos de sementes de soja por 48 horas. A expressão dos três genes foi maior na presença de genisteína, com valores de expressão para nodC, nodW e nopP superiores ao controle. Os resultados obtidos confirmam a funcionalidade dos três genes na estirpe CPAC 15, com ênfase para o nopP, cuja funcionalidade em Bradyrhizobium japonicum foi descrita pela primeira vez.The objective of this work was to evaluate, by RT-qPCR, the expression of the nodC and nodW nodulation genes and of the nopP gene of the CPAC 15 strain, which probably play a role in the infection of soybean roots. Two experiments were done. In the first, the gene expression was evaluated in cells after incubation with genistein for 15 min, 1, 4 and 8 hours. Results showed that the three genes showed higher expression immediately after contact with the inducer (15 min. In the second experiment, the bacterium was grown in the presence of inducers (genistein or soybean seed exudates for 48 hours. The expression of the three genes was greater when induced by genistein, and the expression of nodC, nodW and nopP had higher values than the control. The results confirm the functionality of the three genes in the CPAC 15 strain, with an emphasis on the nopP, whose functionality in Bradyrhizobium japonicum was described for the first time.

WAVE DIRECTION and Other Data from UNKNOWN PLATFORMS and Other Platforms From South China Sea (Nan Hai) and Others from 19590110 to 19761231 (NODC Accession 8600383)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The Peoples Republic of China, Institute of Marine Scientific and Technological Information provided NODC with historical oceanographic data. Two original tapes...

Global hotspots and correlates of alien species richness across taxonomic groups

Science.gov (United States)

Dawson, Wayne; Moser, Dietmar; van Kleunen, Mark; Kreft, Holger; Pergl, Jan; Pysek, Petr; Weigelt, Patrick; Winter, Marten; Lenzner, Bernd; Blackburn, Tim M.; Dyer, Ellie; Cassey, Phillip; Scrivens, Sally-Louise; Economo, Evan P.; Guenard, Benoit; Capinha, Cesar; Seebens, Hanno; Garcia-Diaz, Pablo; Nentwig, Wolfgang; Garcia-Berthou, Emili; Casal, Christine; Mandrak, Nicholas E.; Fuller, Pam; Meyer, Carsten; Essl, Franz

2017-01-01

Human-mediated transport beyond biogeographic barriers has led to the introduction and establishment of alien species in new regions worldwide. However, we lack a global picture of established alien species richness for multiple taxonomic groups. Here, we assess global patterns and potential drivers of established alien species richness across eight taxonomic groups (amphibians, ants, birds, freshwater fishes, mammals, vascular plants, reptiles and spiders) for 186 islands and 423 mainland regions. Hotspots of established alien species richness are predominantly island and coastal mainland regions. Regions with greater gross domestic product per capita, human population density, and area have higher established alien richness, with strongest effects emerging for islands. Ants and reptiles, birds and mammals, and vascular plants and spiders form pairs of taxonomic groups with the highest spatial congruence in established alien richness, but drivers explaining richness differ between the taxa in each pair. Across all taxonomic groups, our results highlight the need to prioritize prevention of further alien species introductions to island and coastal mainland regions globally.

Cloud amount/frequency, NITRATE and other data from unknown platforms in the Indian Ocean from 1992-05-23 to 1993-02-04 (NODC Accession 9400144)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Ten data files containing 2,738 data records were submitted by Martien Baars to NODC/Ocean Climate Laboratory from the Netherlands Indian Ocean Programme. These...

Oceanographic profile temperature, chlorophyll and other measurements collected using bottle from the SHIRASE (JSVY) in the Antarctic from 1984 to 1985 (NODC Accession 0001048)

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National Oceanic and Atmospheric Administration, Department of Commerce — Source: Temperature, chlorophyll and other profile data received at NODC on 04/01/03 by Todd O'Brien from "Fukuda, Y., M. Ohno, M. Fukuchi, 1986 "Surface Chlorophyll...

Taxonomic formula of geoecological hazard for the cadastral districts of Moscow city

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Karfidova E.A.

2018-01-01

Full Text Available the article proposes a method for calculating the taxonomic formula for the geoecological hazard of the cadastral district. The engineering-geological zoning map uses for calculating the balance of the territory by the hazard index – the basis of the taxonomic formula. The taxonomic formula as an open data set makes it possible to characterize the geoecological hazards of the territory of a district. The geoenvironmental hazard map of cadastral districts is necessary for regional model of spatial planning at the municipal level.

Analyses of the stability and core taxonomic memberships of the human microbiome.

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Kelvin Li

Full Text Available Analyses of the taxonomic diversity associated with the human microbiome continue to be an area of great importance. The study of the nature and extent of the commonly shared taxa ("core", versus those less prevalent, establishes a baseline for comparing healthy and diseased groups by quantifying the variation among people, across body habitats and over time. The National Institutes of Health (NIH sponsored Human Microbiome Project (HMP has provided an unprecedented opportunity to examine and better define what constitutes the taxonomic core within and across body habitats and individuals through pyrosequencing-based profiling of 16S rRNA gene sequences from oral, skin, distal gut (stool, and vaginal body habitats from over 200 healthy individuals. A two-parameter model is introduced to quantitatively identify the core taxonomic members of each body habitat's microbiota across the healthy cohort. Using only cutoffs for taxonomic ubiquity and abundance, core taxonomic members were identified for each of the 18 body habitats and also for the 4 higher-level body regions. Although many microbes were shared at low abundance, they exhibited a relatively continuous spread in both their abundance and ubiquity, as opposed to a more discretized separation. The numbers of core taxa members in the body regions are comparatively small and stable, reflecting the relatively high, but conserved, interpersonal variability within the cohort. Core sizes increased across the body regions in the order of: vagina, skin, stool, and oral cavity. A number of "minor" oral taxonomic core were also identified by their majority presence across the cohort, but with relatively low and stable abundances. A method for quantifying the difference between two cohorts was introduced and applied to samples collected on a second visit, revealing that over time, the oral, skin, and stool body regions tended to be more transient in their taxonomic structure than the vaginal body region.

Fast and accurate taxonomic assignments of metagenomic sequences using MetaBin.

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Vineet K Sharma

Full Text Available Taxonomic assignment of sequence reads is a challenging task in metagenomic data analysis, for which the present methods mainly use either composition- or homology-based approaches. Though the homology-based methods are more sensitive and accurate, they suffer primarily due to the time needed to generate the Blast alignments. We developed the MetaBin program and web server for better homology-based taxonomic assignments using an ORF-based approach. By implementing Blat as the faster alignment method in place of Blastx, the analysis time has been reduced by severalfold. It is benchmarked using both simulated and real metagenomic datasets, and can be used for both single and paired-end sequence reads of varying lengths (≥45 bp. To our knowledge, MetaBin is the only available program that can be used for the taxonomic binning of short reads (<100 bp with high accuracy and high sensitivity using a homology-based approach. The MetaBin web server can be used to carry out the taxonomic analysis, by either submitting reads or Blastx output. It provides several options including construction of taxonomic trees, creation of a composition chart, functional analysis using COGs, and comparative analysis of multiple metagenomic datasets. MetaBin web server and a standalone version for high-throughput analysis are available freely at http://metabin.riken.jp/.

Cloud amount/frequency, SALINITY and other data from SATSUNAN, SEIFU MARU and other platforms from 1964-12-20 to 1978-12-19 (NODC Accession 7900327)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Entry contains old Japanese data submitted to NODC. Water depth and other physical profile data were collected using over a dozen different Japanese ships and other...

Avibase – a database system for managing and organizing taxonomic concepts

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Denis Lepage

2014-06-01

Full Text Available Scientific names of biological entities offer an imperfect resolution of the concepts that they are intended to represent. Often they are labels applied to entities ranging from entire populations to individual specimens representing those populations, even though such names only unambiguously identify the type specimen to which they were originally attached. Thus the real-life referents of names are constantly changing as biological circumscriptions are redefined and thereby alter the sets of individuals bearing those names. This problem is compounded by other characteristics of names that make them ambiguous identifiers of biological concepts, including emendations, homonymy and synonymy. Taxonomic concepts have been proposed as a way to address issues related to scientific names, but they have yet to receive broad recognition or implementation. Some efforts have been made towards building systems that address these issues by cataloguing and organizing taxonomic concepts, but most are still in conceptual or proof-of-concept stage. We present the on-line database Avibase as one possible approach to organizing taxonomic concepts. Avibase has been successfully used to describe and organize 844,000 species-level and 705,000 subspecies-level taxonomic concepts across every major bird taxonomic checklist of the last 125 years. The use of taxonomic concepts in place of scientific names, coupled with efficient resolution services, is a major step toward addressing some of the main deficiencies in the current practices of scientific name dissemination and use.

Partitioning taxonomic diversity of aquatic insect assemblages ...

Science.gov (United States)

Biological diversity can be divided into: alpha (α, local), beta (β, difference in assemblage composition among locals), and gamma (γ, total diversity). We assessed the partitioning of taxonomic diversity of Ephemeroptera, Plecoptera and Trichoptera (EPT) and of functional feeding groups (FFG) in Neotropical Savanna (southeastern Brazilian Cerrado) streams. To do so, we considered three diversity components: stream site (α), among stream sites (β1), and among hydrologic units (β2). We also evaluated the association of EPT genera composition with heterogeneity in land use, instream physical habitat structure, and instream water quality variables. The percent of EPT taxonomic α diversity (20.7%) was lower than the β1 and β2 diversities (53.1% and 26.2%, respectively). The EPT FFG α diversity (26.5%) was lower than the β1 diversity (55.8%) and higher than the β2 (17.7%) diversity. The collector-gatherer FFG was predominant and had the greatest β diversity among stream sites (β1, 55.8%). Our findings support the need for implementing regional scale conservation strategies in the Cerrado biome, which has been degraded by anthropogenic activities. Using adaptations of the US EPA’s National Aquatic Resource Survey (NARS) designs and methods, Ferreira and colleagues examined the distribution of taxonomic and functional diversity of aquatic insects among basins, stream sites within basins, and within stream sample reaches. They sampled 160 low-order stre

A taxonomic revision of Lamium (Lamiaceae)

NARCIS (Netherlands)

Mennema, J.

1989-01-01

The present study deals with the systematics and taxonomy of the genus Lamium (Lamiaceae). The taxonomic revision is mainly based on the study of herbarium collections, and to a smaller degree on field observations and abstracts from literature. The research was done at the Rijksherbarium, Leyden,

Taxonomic novelties in African Dracaena (Dracaenaceae)

NARCIS (Netherlands)

Damen, T.H.J.; Burg, van der W.J.; Wiland-Szymańska, J.; Sosef, M.S.M.

2018-01-01

In preparing the treatment of Dracaena for Flore du Gabon and Flore d’Afrique centrale, a relatively high number of taxonomic and nomenclatural novelties were discovered; these are presented here. Within Dracaena five species and one forma are described as new, D. bushii, D. haemanthoides, D.

Genomic characterization reconfirms the taxonomic status of Lactobacillus parakefiri

Science.gov (United States)

TANIZAWA, Yasuhiro; KOBAYASHI, Hisami; KAMINUMA, Eli; SAKAMOTO, Mitsuo; OHKUMA, Moriya; NAKAMURA, Yasukazu; ARITA, Masanori; TOHNO, Masanori

2017-01-01

Whole-genome sequencing was performed for Lactobacillus parakefiri JCM 8573T to confirm its hitherto controversial taxonomic position. Here, we report its first reliable reference genome. Genome-wide metrics, such as average nucleotide identity and digital DNA-DNA hybridization, and phylogenomic analysis based on multiple genes supported its taxonomic status as a distinct species in the genus Lactobacillus. The availability of a reliable genome sequence will aid future investigations on the industrial applications of L. parakefiri in functional foods such as kefir grains. PMID:28748134

AIR PRESSURE and Other Data from TIDE STATIONS From North American Coastline-North and Others from 1972-01-01 to 1974-06-30 (NODC Accession 7601613)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This entry contains tidal information for Chesapeake Bay. Data was submitted by Saul Berkman, NOS Tides Branch, Oceanographic Division. These data are in NODC...

Using geographical and taxonomic metadata to set priorities in specimen digitization

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Walter G. Berendsohn

2010-10-01

Full Text Available Digitizing the information carried by specimens in natural history collections is a key endeavor providing falsifiable information about past and present biodiversity on a global scale, for application in a variety of research fields far beyond the current application in biosystematics. Existing digitization efforts are driven by individual institutional necessities and are not coordinated on a global scale. This led to an over-all information resource that is patchy in taxonomic and geographic coverage as well as in quality. Digitizing all specimens is not an achievable aim at present, so that priorities need to be set. Most biodiversity studies are both taxonomically and geographically restricted, but access to non-digitized collection information is almost exclusively by taxon name. Creating a “Geotaxonomic Index” providing metadata on the number of specimens from a specific geographic region belonging to a specific higher taxonomic category may provide a means to attract the attention of researchers and governments towards relevant non-digitized holdings of the collections and set priorities for their digitization according to the needs of information users outside the taxonomic community.

Multi-scale functional and taxonomic β-diversity of the macroinvertebrate communities in a Mediterranean coastal lagoon

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D. CABANA

2017-03-01

Full Text Available Benthic macroinvertebrate communities form the basis of the intricate lagoonal food web. Understanding their functional and taxonomic response, from a β-diversity perspective, is essential to disclose underlying patterns with potential applicability in conservation and management actions. Within the central lagoon of Messolonghi we studied the main environmental components structuring the macroinvertebrate community. We analyzed the β-taxonomic and β-functional diversity across the main habitats and seasons, over a year time frame. Our results outline habitat type and vegetation biomass as the major factors structuring the communities. We found environmental variability to have a positive correlation with functional β-diversity, however no correlation was found with taxonomic β-diversity. Across the seasons an asynchronous response of the functional and taxonomic β-diversity was identified. The taxonomic composition displayed significant heterogeneity during the driest period and the functional during the rainy season. Across the habitats the unvegetated presented higher taxonomic homogeneity and functionally heterogeneity, contrary the vegetated habitats present higher taxonomic variability and functional homogeneity. Across the seasons and habitats a pattern of functional redundancy and taxonomic replacement was identified. Besides high functional turnover versus low taxonomic turnover was documented in an anthropogenic organically enriched habitat We conclude that habitats display independent functional and taxonomic seasonal patterns, thus different processes may contribute to their variability. The framework presented here highlights the importance of studying both β-diversity components framed in a multiscale approach to better understand ecological processes and variability patterns. These results are important to understand macroinvertebrate community assembly processes and are valuable for conservation purposes.

Oceanographic profile temperature and salinity measurements collected using bottles from the KORABLESTROITEL and TUNETS in the Arctic and Coastal N Atlantic in 1948 (NODC Accession 0001089)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Temperature, Salinity and meteorology data digitized at NODC on 05/02/03, received by Igor Smolyar, from the personal library papers of Dr. Aleksey Zuyev, Murmansk...

CURRENT DIRECTION, cloud amount/frequency and other data from unknown platforms in the NW Pacific from 1981-08-07 to 1983-02-23 (NODC Accession 8400332)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Format and other information for these data may only be available in analog form at this time. Please contact Services.NODC@noaa.gov for additional information.

Human impacts on functional and taxonomic homogenization of plateau fish assemblages in Yunnan, China

Directory of Open Access Journals (Sweden)

Guohuan Su

2015-07-01

Full Text Available Human activities and the consequent extinctions of native species and invasions of non-native species have been changing the composition of species assemblages worldwide. These anthropogenic impacts alter not only the richness of assemblages but also the biological dissimilarity among them. However, much of the research effort to date has focused on changes in taxonomic dissimilarity (i.e. accounting for species composition whether assessments of functional dissimilarity (i.e. accounting for the diversity of biological traits are much more scarce, despite revealing important complimentary information by accounting for changes in the diversity of biological traits. Here, we assess the temporal (1950s against 2000s changes in both taxonomic and functional dissimilarities of freshwater fish assemblages across lakes from the Yunnan Plateau in China. The Jaccard index to quantify the changes in both taxonomic and functional dissimilarity. We then partitioned dissimilarity to extract its turnover component and measured the changes in the contribution of turnover to dissimilarity. We found that functional and taxonomic homogenization occurred simultaneously. However, patterns between these two processes differed for some lakes. Taxonomic and functional homogenizations were stronger when the historical level of taxonomic dissimilarity among assemblages was high. The impact of extinctions of native species and invasions of non-native species on homogenization was otherwise complex to disentangle with no significant effect of any of the studied environmental factors. In agreement with other studies, our study proved that change in taxonomic dissimilarity cannot be used to predict changes in functional dissimilarity and, as an indicator of ecosystem functioning, functional dissimilarity should be used together with taxonomic dissimilarity to attain a more holistic understanding of human impacts on natural ecosystems.

Developing green supply chain management strategies: A taxonomic approach

Directory of Open Access Journals (Sweden)

Michael Mutingi

2013-06-01

Full Text Available Purpose: The objective of this research is to explore the empirical green supply chain activities found in literature, and to develop a taxonomic framework that can be used for formulating appropriate strategies for green supply chains, based on characteristic dimensions for the green supply chain. Design/methodology/approach: The taxonomic framework is developed through (i analysis of green supply chain activities found in existing empirical work or case studies recorded in literature, (ii identification of key dimensions that influence green supply chain management strategies, and (iii development of a taxonomic scheme for selecting or developing green strategies. Findings: The paper finds that this study yielded: a set of three characteristic dimensions that influence strategic green supply chain management, and a guided structured approach selecting appropriate green strategies, providing managerial insights. Research limitations/implications: This paper shows that future work includes development of specific performance management indices according to the taxonomy of green strategies developed in this study. Practical implications: This research provided a practical guided approach that enhances appropriate formulation of green strategies for green supply chain management, while providing sound managerial insights for the supply chain decision maker. The choice of supply chain strategy directly impacts the overall environmental, economic and operations performance of the supply chain. Originality/value: This study presents to supply chain decision makers a new taxonomic framework that simplifies and enhances the formulation of green strategies, and to researchers a comparative understanding of various strategies applicable to green supply chains.

SOUND VELOCITY and Other Data from FIXED PLATFORM and Other Platforms From NE Atlantic (limit-40 W) and Others from 19860512 to 19891112 (NODC Accession 9000121)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The sound velocity and other data in this accession has been processed by NODC from a tape submitted by the originator containing Inverted Echo Sounder data from the...

4 km NODC/RSMAS AVHRR Pathfinder v5.0 and Interim v5.0 Sea Surface Temperature (SST) Data and v5.1 SST Data for 1981-2009

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The 4 km Pathfinder effort at the National Oceanic and Atmospheric Administration (NOAA) National Oceanographic Data Center (NODC) and the University of Miami's...

Word meaning in the ventral visual path: a perceptual to conceptual gradient of semantic coding.

Science.gov (United States)

Borghesani, Valentina; Pedregosa, Fabian; Buiatti, Marco; Amadon, Alexis; Eger, Evelyn; Piazza, Manuela

2016-12-01

The meaning of words referring to concrete items is thought of as a multidimensional representation that includes both perceptual (e.g., average size, prototypical color) and conceptual (e.g., taxonomic class) dimensions. Are these different dimensions coded in different brain regions? In healthy human subjects, we tested the presence of a mapping between the implied real object size (a perceptual dimension) and the taxonomic categories at different levels of specificity (conceptual dimensions) of a series of words, and the patterns of brain activity recorded with functional magnetic resonance imaging in six areas along the ventral occipito-temporal cortical path. Combining multivariate pattern classification and representational similarity analysis, we found that the real object size implied by a word appears to be primarily encoded in early visual regions, while the taxonomic category and sub-categorical cluster in more anterior temporal regions. This anteroposterior gradient of information content indicates that different areas along the ventral stream encode complementary dimensions of the semantic space. Copyright © 2016 Elsevier Inc. All rights reserved.

The taxlist package: managing plant taxonomic lists in R

Directory of Open Access Journals (Sweden)

Miguel Alvarez

2018-05-01

Full Text Available Taxonomic lists are crucial elements of vegetation-plot databases and provide the links between original entries, reference taxon views and different taxon concepts. We introduce the R package taxlist in the context of object-oriented modelling for taxonomic lists. This package provides a data structure based on species lists in Turboveg, which is a software broadly used for the storage of vegetation-plot databases and implements functions for importing and handling them prior to statistical analysis. We also present a schema for relational databases, compatible with taxlist objects and recommend its use for handling diversity records.

Taxonomic separation of hippocampal networks: principal cell populations and adult neurogenesis

Directory of Open Access Journals (Sweden)

Roelof Maarten evan Dijk

2016-03-01

Full Text Available While many differences in hippocampal anatomy have been described between species, it is typically not clear if they are specific to a particular species and related to functional requirements or if they are shared by species of larger taxonomic units. Without such information, it is difficult to infer how anatomical differences may impact on hippocampal function, because multiple taxonomic levels need to be considered to associate behavioral and anatomical changes. To provide information on anatomical changes within and across taxonomic ranks, we present a quantitative assessment of hippocampal principal cell populations in 20 species or strain groups, with emphasis on rodents, the taxonomic group that provides most animals used in laboratory research. Of special interest is the importance of adult hippocampal neurogenesis in species-specific adaptations relative to other cell populations. Correspondence analysis of cell numbers shows that across taxonomic units, phylogenetically related species cluster together, sharing similar proportions of principal cell populations. CA3 and hilus are strong separators that place rodent species into a tight cluster based on their relatively large CA3 and small hilus while non-rodent species (including humans and non-human primates are placed on the opposite side of the spectrum. Hilus and CA3 are also separators within rodents, with a very large CA3 and rather small hilar cell populations separating mole-rats from other rodents that, in turn, are separated from each other by smaller changes in the proportions of CA1 and granule cells. When adult neurogenesis is included, the relatively small populations of young neurons, proliferating cells and hilar neurons become main drivers of taxonomic separation within rodents. The observations provide challenges to the computational modeling of hippocampal function, suggest differences in the organization of hippocampal information streams in rodent and non

Taxonomic considerations in listing subspecies under the U.S. Endangered Species Act.

Science.gov (United States)

Haig, Susan M; Beever, Erik A; Chambers, Steven M; Draheim, Hope M; Dugger, Bruce D; Dunham, Susie; Elliott-Smith, Elise; Fontaine, Joseph B; Kesler, Dylan C; Knaus, Brian J; Lopes, Iara F; Loschl, Pete; Mullins, Thomas D; Sheffield, Lisa M

2006-12-01

The U.S. Endangered Species Act (ESA) allows listing of subspecies and other groupings below the rank of species. This provides the U.S. Fish and Wildlife Service and the National Marine Fisheries Service with a means to target the most critical unit in need of conservation. Although roughly one-quarter of listed taxa are subspecies, these management agencies are hindered by uncertainties about taxonomic standards during listing or delisting activities. In a review of taxonomic publications and societies, we found few subspecies lists and none that stated standardized criteria for determining subspecific taxa. Lack of criteria is attributed to a centuries-old debate over species and subspecies concepts. Nevertheless, the critical need to resolve this debate for ESA listings led us to propose that minimal biological criteria to define disjunct subspecies (legally or taxonomically) should include the discreteness and significance criteria of distinct population segments (as defined under the ESA). Our subspecies criteria are in stark contrast to that proposed by supporters of the phylogenetic species concept and provide a clear distinction between species and subspecies. Efforts to eliminate or reduce ambiguity associated with subspecies-level classifications will assist with ESA listing decisions. Thus, we urge professional taxonomic societies to publish and periodically update peer-reviewed species and subspecies lists. This effort must be paralleled throughout the world for efficient taxonomic conservation to take place.

Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Fairweather in the Gulf of Alaska from 2014-04-28 to 2014-07-28 (NODC Accession 0126498)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0126498 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

More than just orphans: are taxonomically-restricted genes important in evolution?

Science.gov (United States)

Khalturin, Konstantin; Hemmrich, Georg; Fraune, Sebastian; Augustin, René; Bosch, Thomas C G

2009-09-01

Comparative genome analyses indicate that every taxonomic group so far studied contains 10-20% of genes that lack recognizable homologs in other species. Do such 'orphan' or 'taxonomically-restricted' genes comprise spurious, non-functional ORFs, or does their presence reflect important evolutionary processes? Recent studies in basal metazoans such as Nematostella, Acropora and Hydra have shed light on the function of these genes, and now indicate that they are involved in important species-specific adaptive processes. Here we focus on evidence from Hydra suggesting that taxonomically-restricted genes play a role in the creation of phylum-specific novelties such as cnidocytes, in the generation of morphological diversity, and in the innate defence system. We propose that taxon-specific genes drive morphological specification, enabling organisms to adapt to changing conditions.

Proposal to consistently apply the International Code of Nomenclature of Prokaryotes (ICNP) to names of the oxygenic photosynthetic bacteria (cyanobacteria), including those validly published under the International Code of Botanical Nomenclature (ICBN)/International Code of Nomenclature for algae, fungi and plants (ICN), and proposal to change Principle 2 of the ICNP.

Science.gov (United States)

Pinevich, Alexander V

2015-03-01

This taxonomic note was motivated by the recent proposal [Oren & Garrity (2014) Int J Syst Evol Microbiol 64, 309-310] to exclude the oxygenic photosynthetic bacteria (cyanobacteria) from the wording of General Consideration 5 of the International Code of Nomenclature of Prokaryotes (ICNP), which entails unilateral coverage of these prokaryotes by the International Code of Nomenclature for algae, fungi, and plants (ICN; formerly the International Code of Botanical Nomenclature, ICBN). On the basis of key viewpoints, approaches and rules in the systematics, taxonomy and nomenclature of prokaryotes it is reciprocally proposed to apply the ICNP to names of cyanobacteria including those validly published under the ICBN/ICN. For this purpose, a change to Principle 2 of the ICNP is proposed to enable validation of cyanobacterial names published under the ICBN/ICN rules. © 2015 IUMS.

Underway navigational, physical and time series data collected aboard NOAA Ship Thomas Jefferson in the North Atlantic Ocean from 2013-06-17 to 2013-10-02 (NODC Accession 0123055)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123055 contains raw underway navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA Ship Thomas...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea from 2014-06-12 to 2014-08-14 (NODC Accession 0124303)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0124303 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Pisces in the North Atlantic Ocean from 2013-07-01 to 2013-07-12 (NODC Accession 0117838)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0117838 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea from 2014-05-06 to 2014-05-17 (NODC Accession 0125087)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125087 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea from 2014-05-20 to 2014-06-08 (NODC Accession 0125267)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125267 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Thomas Jefferson in the North Atlantic Ocean from 2013-09-24 to 2013-11-04 (NODC Accession 0123614)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123614 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Okeanos Explorer in the North Atlantic Ocean from 2014-08-09 to 2014-10-07 (NODC Accession 0125346)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125346 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean from 2013-07-09 to 2013-07-16 (NODC Accession 0113243)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113243 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Nancy Foster in the North Atlantic Ocean from 2014-05-19 to 2014-05-20 (NODC Accession 0118685)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0118685 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean from 2013-06-26 to 2013-07-03 (NODC Accession 0099244)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0099244 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Okeanos Explorer in the North Atlantic Ocean from 2015-02-09 to 2015-02-13 (NODC Accession 0125757)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125757 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

Underway meteorological, navigational, optical and physical data collected aboard NOAA Ship Oscar Elton Sette in the North Pacific Ocean from 2013-09-11 to 2013-09-30 (NODC Accession 0117012)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0117012 contains raw underway meteorological, navigational, optical and physical data logged by the Scientific Computer System (SCS) aboard NOAA Ship...

Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Nancy Foster in the North Atlantic Ocean from 2014-04-20 to 2014-04-30 (NODC Accession 0118187)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0118187 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean from 2014-09-06 to 2014-09-30 (NODC Accession 0122499)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0122499 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Thomas Jefferson in the North Atlantic Ocean from 2013-03-11 to 2013-03-13 (NODC Accession 0123054)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123054 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Nancy Foster in the North Atlantic Ocean from 2014-11-12 to 2014-11-21 (NODC Accession 0125582)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125582 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

Taxonomic status of the roses (Rosa) described by S.G. Dimitrov from Bulgaria

DEFF Research Database (Denmark)

Zielinski, J.; Petrova, A; Tan, Kit

2004-01-01

The original herbarium vouchers for six species of Rosa (Rosaceae) described by S. G. Dimitrov from Bulgaria are taxonomically evaluated. Two species (R. balcanica, R. orphei) are considered hybrids, four other names (R. bulgarica, R. parilica, R. pontica and R. rhodopaea) are taxonomic synonyms...

Korean deaf adolescents' recognition of written words for taxonomic categories of different levels.

Science.gov (United States)

Li, Degao; Yi, Kwangoh; Kim, Jung Yeon

2011-04-01

Deaf college students seem to have relatively stronger associations from words for taxonomic categories of basic (e.g., snake) to those of super-ordinate (e.g., reptiles) level than vice versa compared with hearing students in word association (Marschark, Convertino, McEvoy & Masteller, 2004). In deciding whether two sequentially presented words for taxonomic categories of different levels are conceptually related, deaf adolescents might therefore have a poorer performance when they see a category name before than when they see it after one of the corresponding exemplar words. Deaf Korean adolescents were found to recognize words for taxonomic categories of super-ordinate level with lower efficiencies than those of basic level. Their accuracy seemed to reflect a reversed typicality effect when they decided that first-presented words for taxonomic categories of basic level were conceptually related to second-presented words for those of super-ordinate level. It was argued that deaf Korean adolescents went through a temporary stage of having iconic representations of several exemplars of the category aroused in working memory before the abstract semantic representation was fully activated when they saw the word for a taxonomic category of super-ordinate level. © 2010 The Authors. Scandinavian Journal of Psychology © 2010 The Scandinavian Psychological Associations.

Selection of multiple umbrella species for functional and taxonomic diversity to represent urban biodiversity.

Science.gov (United States)

Sattler, T; Pezzatti, G B; Nobis, M P; Obrist, M K; Roth, T; Moretti, M

2014-04-01

Surrogates, such as umbrella species, are commonly used to reduce the complexity of quantifying biodiversity for conservation purposes. The presence of umbrella species is often indicative of high taxonomic diversity; however, functional diversity is now recognized as an important metric for biodiversity and thus should be considered when choosing umbrella species. We identified umbrella species associated with high taxonomic and functional biodiversity in urban areas in Switzerland. We analyzed 39,752 individuals of 574 animal species from 96 study plots and 1397 presences of 262 plant species from 58 plots. Thirty-one biodiversity measures of 7 taxonomic groups (plants, spiders, bees, ground beetles, lady bugs, weevils and birds) were included in within- and across-taxa analyses. Sixteen measures were taxonomical (species richness and species diversity), whereas 15 were functional (species traits including mobility, resource use, and reproduction). We used indicator value analysis to identify umbrella species associated with single or multiple biodiversity measures. Many umbrella species were indicators of high biodiversity within their own taxonomic group (from 33.3% in weevils to 93.8% in birds), to a lesser extent they were indicators across taxa. Principal component analysis revealed that umbrella species for multiple measures of biodiversity represented different aspects of biodiversity, especially with respect to measures of taxonomic and functional diversity. Thus, even umbrella species for multiple measures of biodiversity were complementary in the biodiversity aspects they represented. Thus, the choice of umbrella species based solely on taxonomic diversity is questionable and may not represent biodiversity comprehensively. Our results suggest that, depending on conservation priorities, managers should choose multiple and complementary umbrella species to assess the state of biodiversity. © 2013 Society for Conservation Biology.

Seasonality, distribution and taxonomic status of avian ...

African Journals Online (AJOL)

Description of a new species is based upon morphology of gametocyte development in the peripheral blood of the avian host. This does not distinguish between morphologically identical gametocytes from different avian host families, nor is species or family level a valid taxonomic character. Thus, Haemoproteus and ...

PHYTOPLANKTON - WET WEIGHT and Other Data from UNKNOWN PLATFORMS and Other Platforms From TOGA Area - Pacific (30 N to 30 S) and Others from 19680101 to 19840613 (NODC Accession 9000066)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The Chinese National Oceanographic Data Center provided NODC with 13 tapes of CTD, XBT, station data, chlorophyll, primary productivity and vessel report data...

Carbon dioxide, temperature, and salinity collected via surface underway survey in the East Coast of the United States (northwestern Atlantic Ocean) during the Ocean Margins Program cruises (NODC Accession 0083626)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0083626 includes underway chemical and physical data collected from COLUMBUS ISELIN, ENDEAVOR, GYRE, OCEANUS, and SEWARD JOHNSON in the North Atlantic...

Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2014-05-27 to 2014-09-30 (NODC Accession 0119414)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0119414 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Okeanos Explorer in the North Atlantic Ocean from 2014-02-08 to 2014-02-10 (NODC Accession 0123613)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123613 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Nancy Foster in the North Atlantic Ocean from 2013-07-12 to 2013-07-21 (NODC Accession 0113448)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113448 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Nancy Foster in the North Atlantic Ocean from 2013-08-31 to 2013-09-07 (NODC Accession 0113487)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113487 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Pisces in the North Atlantic Ocean from 2014-07-06 to 2014-08-02 (NODC Accession 0121197)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0121197 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

Underway meteorological and oceanographic chemical and physical data collected aboard the R/V Celtic Explorer in the north Atlantic Ocean from June 15, 2006 to July 5, 2006 (NODC Accession 0084476)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0084476 includes underway meteorological and oceanographic chemical and physical data collected aboard the Celtic Explorer in North Atlantic Ocean...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Gulf of Alaska from 2013-03-14 to 2013-03-28 (NODC Accession 0124186)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0124186 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Pisces in the Gulf of Mexico from 2014-08-22 to 2014-09-12 (NODC Accession 0121982)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0121982 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

Temperature, salinity, and other profile data collected from CTD and bottle casts from the CLIVAR and Carbon Hydrographic Data Office (CCHDO) from 1972-07-24 to present (NODC Accession 0038589)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0038589 contains all the data the CLIVAR and Carbon Hydrographic Data Office (CCHDO) assembled and processed through 2017-07-05. This Accession...

Carbon dioxide, temperature, salinity and other variables collected via time series monitoring from MOORINGS in the North Pacific Ocean from 1998-06-22 to 2004-11-23 (NODC Accession 0100079)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0100079 includes chemical, time series and underway - surface data collected from MOORINGS in the North Pacific Ocean and South Pacific Ocean from...

Temperature, salinity and other variables from the from the CLIVAR-Carbon Hydrographic Office (CCHDO) from 2003-10-23 to 2005-02-26 (NODC Accession 0002720)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Data from the CLIVAR-Carbon Hydrographic Office (CCHDO) were acquired by NODC. Cruises in this accession include: A16N_Leg1, A16N_Leg2, A16S, A20, A22, P02, and...

Taxonomically restricted genes are associated with the evolution of sociality in the honey bee

Directory of Open Access Journals (Sweden)

Tsutsui Neil D

2011-03-01

Full Text Available Abstract Background Studies have shown that taxonomically restricted genes are significant in number and important for the evolution of lineage specific traits. Social insects have gained many novel morphological and behavioral traits relative to their solitary ancestors. The task repertoire of an advanced social insect, for example, can be 40-50 tasks, about twice that of a solitary wasp or bee. The genetic basis of this expansion in behavioral repertoire is still poorly understood, and a role for taxonomically restricted genes has not been explored at the whole genome level. Results Here we present comparative genomics results suggesting that taxonomically restricted genes may have played an important role in generating the expansion of behavioral repertoire associated with the evolution of eusociality. First, we show that the current honey bee official gene set contains about 700 taxonomically restricted genes. These are split between orphans, genes found only in the Hymenoptera, and genes found only in insects. Few of the orphans or genes restricted to the Hymenoptera have been the focus of experimental work, but several of those that have are associated with novel eusocial traits or traits thought to have changed radically as a consequence of eusociality. Second, we predicted that if taxonomically restricted genes are important for generating novel eusocial traits, then they should be expressed with greater frequency in workers relative to the queen, as the workers exhibit most of the novel behavior of the honey bee relative to their solitary ancestors. We found support for this prediction. Twice as many taxonomically restricted genes were found amongst the genes with higher expression in workers compared to those with higher expression in queens. Finally, we compiled an extensive list of candidate taxonomically restricted genes involved in eusocial evolution by analyzing several caste specific gene expression data sets. Conclusions This

Taxonomic Challenges and Distribution of Gracilarioid Algae ...

African Journals Online (AJOL)

This paper reviews the taxonomical literature of the gracilarioid algae from Tanzania, and provides information about their ecology and distribution based on an intensive regime of local collection. Its aim was to provide names, even if on a preliminary basis, for local gracilarioid taxa. Our revision shows that species ...

Environmental metabarcodes for insects: in silico PCR reveals potential for taxonomic bias.

Science.gov (United States)

Clarke, Laurence J; Soubrier, Julien; Weyrich, Laura S; Cooper, Alan

2014-11-01

Studies of insect assemblages are suited to the simultaneous DNA-based identification of multiple taxa known as metabarcoding. To obtain accurate estimates of diversity, metabarcoding markers ideally possess appropriate taxonomic coverage to avoid PCR-amplification bias, as well as sufficient sequence divergence to resolve species. We used in silico PCR to compare the taxonomic coverage and resolution of newly designed insect metabarcodes (targeting 16S) with that of existing markers [16S and cytochrome oxidase c subunit I (COI)] and then compared their efficiency in vitro. Existing metabarcoding primers amplified in silico 90% coverage. Furthermore, metabarcodes targeting COI appeared to introduce taxonomic PCR-amplification bias, typically amplifying a greater percentage of Lepidoptera and Diptera species, while failing to amplify certain orders in silico. To test whether bias predicted in silico was observed in vitro, we created an artificial DNA blend containing equal amounts of DNA from 14 species, representing 11 insect orders and one arachnid. We PCR-amplified the blend using five primer sets, targeting either COI or 16S, with high-throughput amplicon sequencing yielding more than 6 million reads. In vitro results typically corresponded to in silico PCR predictions, with newly designed 16S primers detecting 11 insect taxa present, thus providing equivalent or better taxonomic coverage than COI metabarcodes. Our results demonstrate that in silico PCR is a useful tool for predicting taxonomic bias in mixed template PCR and that researchers should be wary of potential bias when selecting metabarcoding markers. © 2014 John Wiley & Sons Ltd.

Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2012-08-07 to 2012-08-24 (NODC Accession 0125711)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125711 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2013-07-01 to 2013-08-18 (NODC Accession 0115902)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115902 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Oregon II in the Gulf of Mexico from 2014-06-07 to 2014-07-19 (NODC Accession 0120616)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0120616 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean from 2013-09-05 to 2013-09-20 (NODC Accession 0113248)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113248 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Gordon Gunter in the Gulf of Mexico from 2012-10-19 to 2012-10-29 (NODC Accession 0113519)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113519 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2014-07-24 to 2014-07-30 (NODC Accession 0125266)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125266 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Elton Sette in the North Pacific Ocean from 2014-09-25 to 2014-10-27 (NODC Accession 0123056)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123056 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2012-05-31 to 2012-06-14 (NODC Accession 0125709)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125709 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2012-02-27 to 2012-05-04 (NODC Accession 0125710)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125710 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2014-08-05 to 2014-08-16 (NODC Accession 0125265)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125265 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2014-06-18 to 2014-07-01 (NODC Accession 0125584)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125584 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2013-06-10 to 2013-06-24 (NODC Accession 0115702)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115702 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2012-06-18 to 2012-06-28 (NODC Accession 0125666)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125666 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2012-07-04 to 2012-07-18 (NODC Accession 0125758)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125758 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2012-09-04 to 2012-11-11 (NODC Accession 0125919)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125919 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2013-03-14 to 2013-05-09 (NODC Accession 0115052)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115052 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Oregon II in the Gulf of Mexico from 2013-10-24 to 2013-11-22 (NODC Accession 0116135)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116135 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

Rhizobia with 16S rRNA and nifH similar to Mesorhizobium huakuii but Novel recA, glnII, nodA and nodC genes are symbionts of New Zealand Carmichaelinae.

Directory of Open Access Journals (Sweden)

Heng Wee Tan

Full Text Available New Zealand became geographically isolated about 80 million years ago and this separation gave rise to a unique native flora including four genera of legume, Carmichaelia, Clianthus and Montigena in the Carmichaelinae clade, tribe Galegeae, and Sophora, tribe Sophoreae, sub-family Papilionoideae. Ten bacterial strains isolated from NZ Carmichaelinae growing in natural ecosystems grouped close to the Mesorhizobium huakuii type strain in relation to their 16S rRNA and nifH gene sequences. However, the ten strains separated into four groups on the basis of their recA and glnII sequences: all groups were clearly distinct from all Mesorhizobium type strains. The ten strains separated into two groups on the basis of their nodA sequences but grouped closely together in relation to nodC sequences; all nodA and nodC sequences were novel. Seven strains selected and the M. huakuii type strain (isolated from Astragalus sinicus produced functional nodules on Carmichaelia spp., Clianthus puniceus and A. sinicus but did not nodulate two Sophora species. We conclude that rhizobia closely related to M. huakuii on the basis of 16S rRNA and nifH gene sequences, but with variable recA and glnII genes and novel nodA and nodC genes, are common symbionts of NZ Carmichaelinae.

PHYTOPLANKTON - WET WEIGHT and Other Data from UNKNOWN and Other Platforms From NE Atlantic (limit-40 W) and Others from 1978-11-01 to 1980-05-31 (NODC Accession 8900286)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data file consists of chlorophyll and other parameter built from existing NODC files F004, water physics/ chemistry, F029, primary productivity, as well as...

Polyphasic taxonomic characterization of lactic acid bacteria ...

African Journals Online (AJOL)

The results of these analyses showed that ting fermentation involved at least three different species of LAB, i.e. Lactobacillus fermentum, L. plantarum and L. rhamnosus. To our knowledge, this is the first report of polyphasic taxonomic characterization of LAB from this food. This research forms an essential first step towards ...

Underway biological, meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the North Atlantic Ocean from 2014-03-31 to 2014-05-23 (NODC Accession 0119096)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0119096 contains raw underway biological, meteorological, navigational, physical, profile and time series data logged by the Scientific Computer...

Phytoliths as Emerging Taxonomic Tools for Identification of Plants: An Overview

Directory of Open Access Journals (Sweden)

Sheikh Abdul Shakoor

2014-01-01

Full Text Available In the recent advancements in identification of plant species, phytoliths have found an immense role in the identification of plants at different levels of taxonomic hierarchy. Many plant groups are known to accumulate silica in solid form in and between the cells and tissues and hence create the structures commonly known as phytoliths. These phytoliths create replicas of the structures where they are deposited. The shapes of phytolith replicas, their size dimensions (morphometric parameters, surface features (ornamentation, distribution, and orientation pattern in epidermal layers of vegetative and reproductive structures as well as their frequency are highly important for characterization of species. Monocotyledonous families particularly the family Poaceae (Gramineae are known to produce diverse phytolith types that can serve as diagnostic markers for characterization of different taxa at different levels of taxonomic hierarchy. The present paper highlights the importance of phytoliths in taxonomic analysis of plants particularly in the family Poaceae.

A taxonomic study on the diversity of Indian Knema Lour. (Myristicaceae

Directory of Open Access Journals (Sweden)

Dipanwita Banik

2016-06-01

Full Text Available A taxonomic study on the diversity of the genus Knema Lour. belonging to the family Myristicaceae R. Br. in India revealed the distribution of the ten taxa under four series in North East and Peninsular India and Andaman and Nicobar Islands including two endemic species. Knema ser. Obovoideae W.J. de Wilde is synonymised here under ser. Knema. Series Knema is represented by two species and ser. Glaucae W.J. de Wilde by one species in North East India, while ser. Laurinae W.J. de Wilde is represented by three species and two subspecies in North East India and Andaman and Nicobar Island, and ser. Glomeratae W.J. de Wilde by 2 species in South and NE India. This is the first taxonomic study on the genus in India. All the taxa are cited with updated nomenclature, diagnostic characters, distribution, phonological data, vernacular names, line drawings, photo plates and specimens examined in various herbaria. Taxonomic keys are provided for easy identification of these taxa.

Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2015-01-31 to 2015-02-04 (NODC Accession 0125756)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125756 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2015-03-07 to 2015-03-22 (NODC Accession 0126660)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0126660 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

Underway meteorological, navigational, optical, physical, profile, time series and trawl data collected aboard NOAA Ship Gordon Gunter in the Gulf of Mexico from 2014-08-21 to 2014-09-30 (NODC Accession 0122396)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0122396 contains raw underway meteorological, navigational, optical, physical, profile, time series and trawl data logged by the Scientific Computer...

Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2014-04-15 to 2014-05-12 (NODC Accession 0118545)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0118545 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2013-03-01 to 2013-03-10 (NODC Accession 0116096)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116096 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

Underway meteorological, navigational, optical, physical, profile, time series and trawl data collected aboard NOAA Ship Gordon Gunter in the North Atlantic Ocean from 2014-03-11 to 2014-04-28 (NODC Accession 0118186)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0118186 contains raw underway meteorological, navigational, optical, physical, profile, time series and trawl data logged by the Scientific Computer...

Generalizing human error rates: A taxonomic approach

International Nuclear Information System (INIS)

Buffardi, L.; Fleishman, E.; Allen, J.

1989-01-01

It is well established that human error plays a major role in malfunctioning of complex, technological systems and in accidents associated with their operation. Estimates of the rate of human error in the nuclear industry range from 20-65% of all system failures. In response to this, the Nuclear Regulatory Commission has developed a variety of techniques for estimating human error probabilities for nuclear power plant personnel. Most of these techniques require the specification of the range of human error probabilities for various tasks. Unfortunately, very little objective performance data on error probabilities exist for nuclear environments. Thus, when human reliability estimates are required, for example in computer simulation modeling of system reliability, only subjective estimates (usually based on experts' best guesses) can be provided. The objective of the current research is to provide guidelines for the selection of human error probabilities based on actual performance data taken in other complex environments and applying them to nuclear settings. A key feature of this research is the application of a comprehensive taxonomic approach to nuclear and non-nuclear tasks to evaluate their similarities and differences, thus providing a basis for generalizing human error estimates across tasks. In recent years significant developments have occurred in classifying and describing tasks. Initial goals of the current research are to: (1) identify alternative taxonomic schemes that can be applied to tasks, and (2) describe nuclear tasks in terms of these schemes. Three standardized taxonomic schemes (Ability Requirements Approach, Generalized Information-Processing Approach, Task Characteristics Approach) are identified, modified, and evaluated for their suitability in comparing nuclear and non-nuclear power plant tasks. An agenda for future research and its relevance to nuclear power plant safety is also discussed

Partial migration in fishes: definitions, methodologies and taxonomic distribution

DEFF Research Database (Denmark)

Chapman, B B; Skov, C; Hulthén, K

2012-01-01

published. In addition, previous work and synthesis has been hampered by a varied lexicon associated with this phenomenon in fishes. In this review, definitions and important concepts in partial migration research are discussed, and a classification system of the different forms of partial migration......Partial migration, where populations are composed of both migratory and resident individuals, is extremely widespread across the animal kingdom. Researchers studying fish movements have long recognized that many fishes are partial migrants, however, no detailed taxonomic review has ever been...... in fishes introduced. Next, a detailed taxonomic overview of partial migration in this group is considered. Finally, methodological approaches that ichthyologists can use to study this fascinating phenomenon are reviewed. Partial migration is more widespread amongst fishes than previously thought, and given...

MARTA: a suite of Java-based tools for assigning taxonomic status to DNA sequences.

Science.gov (United States)

Horton, Matthew; Bodenhausen, Natacha; Bergelson, Joy

2010-02-15

We have created a suite of Java-based software to better provide taxonomic assignments to DNA sequences. We anticipate that the program will be useful for protistologists, virologists, mycologists and other microbial ecologists. The program relies on NCBI utilities including the BLAST software and Taxonomy database and is easily manipulated at the command-line to specify a BLAST candidate's query-coverage or percent identity requirements; other options include the ability to set minimal consensus requirements (%) for each of the eight major taxonomic ranks (Domain, Kingdom, Phylum, ...) and whether to consider lower scoring candidates when the top-hit lacks taxonomic classification.

Predicting taxonomic and functional structure of microbial communities in acid mine drainage.

Science.gov (United States)

Kuang, Jialiang; Huang, Linan; He, Zhili; Chen, Linxing; Hua, Zhengshuang; Jia, Pu; Li, Shengjin; Liu, Jun; Li, Jintian; Zhou, Jizhong; Shu, Wensheng

2016-06-01

Predicting the dynamics of community composition and functional attributes responding to environmental changes is an essential goal in community ecology but remains a major challenge, particularly in microbial ecology. Here, by targeting a model system with low species richness, we explore the spatial distribution of taxonomic and functional structure of 40 acid mine drainage (AMD) microbial communities across Southeast China profiled by 16S ribosomal RNA pyrosequencing and a comprehensive microarray (GeoChip). Similar environmentally dependent patterns of dominant microbial lineages and key functional genes were observed regardless of the large-scale geographical isolation. Functional and phylogenetic β-diversities were significantly correlated, whereas functional metabolic potentials were strongly influenced by environmental conditions and community taxonomic structure. Using advanced modeling approaches based on artificial neural networks, we successfully predicted the taxonomic and functional dynamics with significantly higher prediction accuracies of metabolic potentials (average Bray-Curtis similarity 87.8) as compared with relative microbial abundances (similarity 66.8), implying that natural AMD microbial assemblages may be better predicted at the functional genes level rather than at taxonomic level. Furthermore, relative metabolic potentials of genes involved in many key ecological functions (for example, nitrogen and phosphate utilization, metals resistance and stress response) were extrapolated to increase under more acidic and metal-rich conditions, indicating a critical strategy of stress adaptation in these extraordinary communities. Collectively, our findings indicate that natural selection rather than geographic distance has a more crucial role in shaping the taxonomic and functional patterns of AMD microbial community that readily predicted by modeling methods and suggest that the model-based approach is essential to better understand natural

Preliminary wave and hydrostatic pressure data collected from moored directional wave gauges in the Gulf of Mexico as part of the LATEX project from 19920825 to 19920826 (NODC Accession 9400018)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data is a special submission to NODC containing wave data during Hurricane Andrew August 25-26, 1992. This data file contains 24 bursts spaced at 2 hour...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Pisces in the Gulf of Mexico and North Atlantic Ocean from 2013-04-05 to 2013-06-07 (NODC Accession 0117812)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0117812 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean and Philippine Sea from 2014-03-05 to 2014-06-02 (NODC Accession 0119156)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0119156 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical, profile, time series and trawl data collected aboard NOAA Ship Bell M. Shimada in the North Pacific Ocean from 2013-09-09 to 2013-09-16 (NODC Accession 0116842)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116842 contains raw underway meteorological, navigational, optical, physical, profile, time series and trawl data logged by the Scientific Computer...

Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Hi'ialakai in the North Pacific Ocean and Philippine Sea from 2014-05-11 to 2014-05-22 (NODC Accession 0119200)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0119200 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

Carbon dioxide, temperature, salinity and other variables collected via time series monitoring from METEOR, POSEIDON and others in the North Atlantic Ocean from 1995-10-02 to 2009-11-25 (NODC Accession 0100064)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0100064 includes chemical, physical, time series and underway - surface data collected from METEOR, POSEIDON, TALIARTE and VICTOR HENSEN in the North...

Character Selection During Interactive Taxonomic Identification: “Best Characters”

Directory of Open Access Journals (Sweden)

Nadia Talent

2014-03-01

Full Text Available Software interfaces for interactive multiple-entry taxonomic identification (polyclaves sometimes provide a “best character” or “separation” coefficient, to guide the user to choose a character that could most effectively reduce the number of identification steps required. The coefficient could be particularly helpful when difficult or expensive tasks are needed for forensic identification, and in very large databases, uses that appear likely to increase in importance. Several current systems also provide tools to develop taxonomies or single-entry identification keys, with a variety of coefficients that are appropriate to that purpose. For the identification task, however, information theory neatly applies, and provides the most appropriate coefficient. To our knowledge, Delta-Intkey is the only currently available system that uses a coefficient related to information theory, and it is currently being reimplemented, which may allow for improvement. We describe two improvements to the algorithm used by Delta-Intkey. The first improves transparency as the number of remaining taxa decreases, by normalizing the range of the coefficient to [0,1]. The second concerns numeric ranges, which require consistent treatment of sub-intervals and their end-points. A stand-alone Bestchar program for categorical data is provided, in the Python and R languages. The source code is freely available and dedicated to the Public Domain.

Improving probe set selection for microbial community analysis by leveraging taxonomic information of training sequences

Directory of Open Access Journals (Sweden)

Jiang Tao

2011-10-01

Full Text Available Abstract Background Population levels of microbial phylotypes can be examined using a hybridization-based method that utilizes a small set of computationally-designed DNA probes targeted to a gene common to all. Our previous algorithm attempts to select a set of probes such that each training sequence manifests a unique theoretical hybridization pattern (a binary fingerprint to a probe set. It does so without taking into account similarity between training gene sequences or their putative taxonomic classifications, however. We present an improved algorithm for probe set selection that utilizes the available taxonomic information of training gene sequences and attempts to choose probes such that the resultant binary fingerprints cluster into real taxonomic groups. Results Gene sequences manifesting identical fingerprints with probes chosen by the new algorithm are more likely to be from the same taxonomic group than probes chosen by the previous algorithm. In cases where they are from different taxonomic groups, underlying DNA sequences of identical fingerprints are more similar to each other in probe sets made with the new versus the previous algorithm. Complete removal of large taxonomic groups from training data does not greatly decrease the ability of probe sets to distinguish those groups. Conclusions Probe sets made from the new algorithm create fingerprints that more reliably cluster into biologically meaningful groups. The method can readily distinguish microbial phylotypes that were excluded from the training sequences, suggesting novel microbes can also be detected.

Improving probe set selection for microbial community analysis by leveraging taxonomic information of training sequences.

Science.gov (United States)

Ruegger, Paul M; Della Vedova, Gianluca; Jiang, Tao; Borneman, James

2011-10-10

Population levels of microbial phylotypes can be examined using a hybridization-based method that utilizes a small set of computationally-designed DNA probes targeted to a gene common to all. Our previous algorithm attempts to select a set of probes such that each training sequence manifests a unique theoretical hybridization pattern (a binary fingerprint) to a probe set. It does so without taking into account similarity between training gene sequences or their putative taxonomic classifications, however. We present an improved algorithm for probe set selection that utilizes the available taxonomic information of training gene sequences and attempts to choose probes such that the resultant binary fingerprints cluster into real taxonomic groups. Gene sequences manifesting identical fingerprints with probes chosen by the new algorithm are more likely to be from the same taxonomic group than probes chosen by the previous algorithm. In cases where they are from different taxonomic groups, underlying DNA sequences of identical fingerprints are more similar to each other in probe sets made with the new versus the previous algorithm. Complete removal of large taxonomic groups from training data does not greatly decrease the ability of probe sets to distinguish those groups. Probe sets made from the new algorithm create fingerprints that more reliably cluster into biologically meaningful groups. The method can readily distinguish microbial phylotypes that were excluded from the training sequences, suggesting novel microbes can also be detected.

Taxonomic significance of cypsela morphology for the tribe mutisieae (s.l.) (asteraceae) from Pakistan

International Nuclear Information System (INIS)

Abid, R.; Alam, J.

2011-01-01

Cypselas of 5 species distributed in 3 genera of the tribe Mutisieae (s.l.) were examined from Pakistan to assess their taxonomic significance. Micro morphological characters of cypsela including shape, pappus and carpopodium have been proved very rewarding to evaluate the taxonomic decisions both at the generic and specific levels. (author)

Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Nancy Foster in the Gulf of Mexico and North Atlantic Ocean from 2014-09-01 to 2014-09-14 (NODC Accession 0123337)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123337 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Okeanos Explorer in the Gulf of Mexico and North Atlantic Ocean from 2014-05-07 to 2014-05-22 (NODC Accession 0125618)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125618 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Elton Sette in the North Pacific Ocean and Philippine Sea from 2014-06-19 to 2014-07-19 (NODC Accession 0123094)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123094 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Gulf of Alaska and North Pacific Ocean from 2015-02-09 to 2015-03-03 (NODC Accession 0127242)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0127242 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Ronald H. Brown in the Arctic Ocean and North Pacific Ocean from 2015-01-14 to 2015-02-13 (NODC Accession 0126056)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0126056 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Gulf of Alaska and North Pacific Ocean from 2014-02-21 to 2014-03-01 (NODC Accession 0125086)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125086 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Gulf of Alaska and North Pacific Ocean from 2013-02-08 to 2013-03-05 (NODC Accession 0124184)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0124184 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Elton Sette in the North Pacific Ocean and Philippine Sea from 2014-07-24 to 2014-08-25 (NODC Accession 0123095)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123095 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Elton Sette in the North Pacific Ocean and Philippine Sea from 2014-05-31 to 2014-06-16 (NODC Accession 0123093)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123093 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Nancy Foster in the Gulf of Mexico and North Atlantic Ocean from 2013-09-10 to 2013-09-20 (NODC Accession 0113488)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113488 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Carbon dioxide, temperature, salinity and other variables collected via time series profile monitoring from Kairei, MIRAI and NATSUSHIMA in the North Pacific Ocean from 1999-05-28 to 2008-10-26 (NODC Accession 0100115)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0100115 includes chemical, discrete bottle, physical and time series profile data collected from Kairei, MIRAI and NATSUSHIMA in the North Pacific...

Low Functional β-Diversity Despite High Taxonomic β-Diversity among Tropical Estuarine Fish Communities

Science.gov (United States)

Villéger, Sébastien; Miranda, Julia Ramos; Hernandez, Domingo Flores; Mouillot, David

2012-01-01

The concept of β-diversity, defined as dissimilarity among communities, has been widely used to investigate biodiversity patterns and community assembly rules. However, in ecosystems with high taxonomic β-diversity, due to marked environmental gradients, the level of functional β-diversity among communities is largely overlooked while it may reveal processes shaping community structure. Here, decomposing biodiversity indices into α (local) and γ (regional) components, we estimated taxonomic and functional β-diversity among tropical estuarine fish communities, through space and time. We found extremely low functional β-diversity values among fish communities (diversities, α and γ functional diversities were very close to the minimal value. These patterns were caused by two dominant functional groups which maintained a similar functional structure over space and time, despite the strong dissimilarity in taxonomic structure along environmental gradients. Our findings suggest that taxonomic and functional β-diversity deserve to be quantified simultaneously since these two facets can show contrasting patterns and the differences can in turn shed light on community assembly rules. PMID:22792395

High taxonomic variability despite stable functional structure across microbial communities.

Science.gov (United States)

Louca, Stilianos; Jacques, Saulo M S; Pires, Aliny P F; Leal, Juliana S; Srivastava, Diane S; Parfrey, Laura Wegener; Farjalla, Vinicius F; Doebeli, Michael

2016-12-05

Understanding the processes that are driving variation of natural microbial communities across space or time is a major challenge for ecologists. Environmental conditions strongly shape the metabolic function of microbial communities; however, other processes such as biotic interactions, random demographic drift or dispersal limitation may also influence community dynamics. The relative importance of these processes and their effects on community function remain largely unknown. To address this uncertainty, here we examined bacterial and archaeal communities in replicate 'miniature' aquatic ecosystems contained within the foliage of wild bromeliads. We used marker gene sequencing to infer the taxonomic composition within nine metabolic functional groups, and shotgun environmental DNA sequencing to estimate the relative abundances of these groups. We found that all of the bromeliads exhibited remarkably similar functional community structures, but that the taxonomic composition within individual functional groups was highly variable. Furthermore, using statistical analyses, we found that non-neutral processes, including environmental filtering and potentially biotic interactions, at least partly shaped the composition within functional groups and were more important than spatial dispersal limitation and demographic drift. Hence both the functional structure and taxonomic composition within functional groups of natural microbial communities may be shaped by non-neutral and roughly separate processes.

Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Ronald H. Brown in the North Pacific Ocean and South Pacific Ocean from 2014-08-25 to 2014-09-27 (NODC Accession 0122504)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0122504 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

Underway meteorological, navigational, physical and time series data collected aboard NOAA Ship Ronald H. Brown in the North Pacific Ocean and South Pacific Ocean from 2014-03-23 to 2014-04-08 (NODC Accession 0120490)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0120490 contains raw underway meteorological, navigational, physical and time series data logged by the Scientific Computer System (SCS) aboard NOAA...

Temperature and salinity profile data from globally distributed Argo profiling floats for the month of March 2008 for the Global Argo Data Repository, 1979-05-15 to 2008-03-31 (NODC Accession 0040187)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the month of September 2007 for the Global Argo Data Repository, 1996-01-05 to 2007-09-30 (NODC Accession 0033660)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the month of August 2006 for the Global Argo Data Repository, 1996-01-05 to 2006-08-31 (NODC Accession 0002818)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the month of December 2003 for the Global Argo Data Repository, 1996-01-05 to 2003-12-31 (NODC Accession 0001286)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the month of January 2005 for the Global Argo Data Repository, 1996-01-05 to 2005-01-31 (NODC Accession 0002005)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the month of August 2007 for the Global Argo Data Repository, 1996-01-05 to 2007-08-31 (NODC Accession 0032684)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the month of December 2004 for the Global Argo Data Repository, 1996-01-05 to 2004-12-31 (NODC Accession 0001960)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the month of October 2004 for the Global Argo Data Repository, 1996-01-05 to 2004-10-31 (NODC Accession 0001897)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the month of April 2005 for the Global Argo Data Repository, 1996-01-05 to 2005-04-30 (NODC Accession 0002163)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the month of January 2006 for the Global Argo Data Repository, 1996-01-05 to 2006-01-31 (NODC Accession 0002524)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the month of September 2004 for the Global Argo Data Repository, 1996-01-05 to 2004-09-30 (NODC Accession 0001735)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the month of February 2005 for the Global Argo Data Repository, 1996-01-05 to 2005-02-28 (NODC Accession 0002048)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Ronald H. Brown in the North Pacific Ocean and South Pacific Ocean from 2014-11-05 to 2014-11-24 (NODC Accession 0123338)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123338 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Oregon II in the Gulf of Mexico and North Atlantic Ocean from 2014-05-04 to 2014-05-31 (NODC Accession 0118842)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0118842 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Oregon II in the Gulf of Mexico and North Atlantic Ocean from 2014-07-26 to 2014-09-29 (NODC Accession 0122397)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0122397 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Ronald H. Brown in the North Pacific Ocean and South Pacific Ocean from 2015-02-27 to 2015-03-30 (NODC Accession 0127092)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0127092 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Gordon Gunter in the Gulf of Mexico and North Atlantic Ocean from 2014-07-04 to 2014-07-31 (NODC Accession 0120740)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0120740 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

Underway biological, meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Henry B. Bigelow in the Bay of Fundy and North Atlantic Ocean from 2014-09-07 to 2014-11-13 (NODC Accession 0123520)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123520 contains raw underway biological, meteorological, navigational, physical, profile and time series data logged by the Scientific Computer...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2005-01-30 for the Global Argo Data Repository, 2002-12-13 to 2005-02-05 (NODC Accession 0002012)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2005-01-23 for the Global Argo Data Repository, 2002-12-03 to 2005-01-29 (NODC Accession 0002001)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2005-01-16 for the Global Argo Data Repository, 2003-11-12 to 2005-01-22 (NODC Accession 0001993)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2005-01-09 for the Global Argo Data Repository, 2000-03-01 to 2005-01-15 (NODC Accession 0001981)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Functional and Taxonomic Differentiation of Macrophyte Assemblages Across the Yangtze River Floodplain Under Human Impacts.

Science.gov (United States)

Zhang, Min; García Molinos, Jorge; Zhang, Xiaolin; Xu, Jun

2018-01-01

Human activities and the consequent extirpations of species have been changing the composition of species assemblages worldwide. These anthropogenic impacts alter not only the richness of assemblages but also the biological dissimilarity among them. One of the main gaps in the assessment of biodiversity change in freshwater ecosystems is our limited understanding regarding how taxonomic and functional facets of macrophyte assemblages respond to human impacts on regional scales. Here, we assess the temporal (before 1970s against after 2000s) changes in taxonomic and functional richness and compositional dissimilarities, partitioned into its turnover and nestedness components, of freshwater macrophyte assemblages across the floodplain lakes of the Yangtze River in China. We found that functional and taxonomic assemblage differentiation occurred simultaneously under increasing human impact, concomitant to a general decrease in functional and taxonomic richness. However, this effect weakened when the historical level of taxonomic dissimilarity among assemblages was high. Macrophyte species with large dispersal range and submersed life form were significantly more susceptible to extirpation. The impact of human activities on differentiation was complex but habitat loss and fishery intensity were consistently the main drivers of assemblage change in these lakes, whereas water quality (i.e., light pollution and nutrient enrichment) had weaker effects. Further, macrophyte taxonomic and functional differentiation was mainly driven by the nestedness component of dissimilarity, accounting for changes in assemblage composition related to changes in species richness independent of species replacement. This result, markedly different from previous studies on freshwater fish assemblages conducted in these lakes, represents a novel contribution toward achieving a more holistic understanding of how human impacts contribute to shape community assemblages in natural ecosystems.

Taxonomic and phylogenetic utility of variation in advertising calls of ...

African Journals Online (AJOL)

Taxonomic and phylogenetic utility of variation in advertising calls of francolins and spurfowls (Galliformes: Phasianidae). Tshifhiwa G. Mandiwana-Neudani, Rauri C.K. Bowie, Martine Hausberger, Laurence Henry, Timothy M. Crowe ...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2014-04-04 to 2014-05-02 (NODC Accession 0125006)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0125006 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2013-05-15 to 2013-06-01 (NODC Accession 0124207)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0124207 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2013-04-29 to 2013-05-11 (NODC Accession 0124208)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0124208 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2013-06-08 to 2013-08-09 (NODC Accession 0123940)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123940 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2014-03-13 to 2014-03-25 (NODC Accession 0124597)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0124597 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2013-08-15 to 2013-09-19 (NODC Accession 0123941)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123941 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Bering Sea, Gulf of Alaska and North Pacific Ocean from 2014-08-17 to 2014-10-06 (NODC Accession 0124596)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0124596 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Taxonomic status and conservation importance of the avifauna of ...

African Journals Online (AJOL)

Democratic Republic of Congo) focussed on the status of 56 taxa, to reveal a high endemism (14 species of a total of at least 642). In addition, 33 taxa were also revealed as possible south-central African endemics but need thorough taxonomic ...

A taxonomic synopsis of Altingiaceae with nine new combinations

Directory of Open Access Journals (Sweden)

Stefanie Ickert-Bond

2013-12-01

Full Text Available A taxonomic synopsis of the Altingiaceae is presented, including the taxonomic enumeration and distribution of 15 recognized species based on studies of 1,500 specimens from 24 herbaria throughout the distributional range of the taxa. Previous phylogenetic analyses based on several molecular markers have shown that Altingia and Semiliquidambar are nested within Liquidambar. All Altingia and Semiliquidambar species are now formally transferred to Liquidambar, which has the nomenclatural priority. The following nine new combinations are herein made: Liquidambar cambodiana (Lecomte Ickert-Bond & J. Wen, L. caudata (H. T. Chang Ickert-Bond & J. Wen, L. chingii (Metcalf Ickert-Bond & J. Wen, L. gracilipes (Hemsl. Ickert-Bond & J. Wen, L. multinervis (Cheng Ickert-Bond & J. Wen, L. obovata (Merrill & Chun Ickert-Bond & J. Wen, L. poilanei (Tardieu Ickert-Bond & J. Wen, L. siamensis (Craib Ickert-Bond & J. Wen, and L. yunnanensis (Rehder & Wilson Ickert-Bond & J. Wen.

Identification and conservation application of signal, noise, and taxonomic effects in diversity patterns

Directory of Open Access Journals (Sweden)

Fleishman, E.

2005-01-01

Full Text Available Ongoing research on butterflies and birds in the Great Basin has identified biogeographic patterns while elucidating how dynamic measures of diversity (species richness and turnover affect inferences for conservation planning and adaptive management. Nested subsets analyses suggested that processes influencing predictability of assemblage composition differ among taxonomic groups, and the relative importance of those processes may vary spatially within a taxonomic group. There may be a time lag between deterministic environmental changes and a detectable faunal response, even for taxonomic groups that are known to be sensitive to changes in climate and land cover. Measures of beta diversity were sensitive to correlations between sampling resolution and local environmental heterogeneity. Temporal and spatial variation in species composition indicated that spatially extensive sampling is more effective for drawing inferences about biodiversity responses to environmental change than intensive sampling at relatively few, smaller sites.

TaxMan: a taxonomic database manager

Directory of Open Access Journals (Sweden)

Blaxter Mark

2006-12-01

Full Text Available Abstract Background Phylogenetic analysis of large, multiple-gene datasets, assembled from public sequence databases, is rapidly becoming a popular way to approach difficult phylogenetic problems. Supermatrices (concatenated multiple sequence alignments of multiple genes can yield more phylogenetic signal than individual genes. However, manually assembling such datasets for a large taxonomic group is time-consuming and error-prone. Additionally, sequence curation, alignment and assessment of the results of phylogenetic analysis are made particularly difficult by the potential for a given gene in a given species to be unrepresented, or to be represented by multiple or partial sequences. We have developed a software package, TaxMan, that largely automates the processes of sequence acquisition, consensus building, alignment and taxon selection to facilitate this type of phylogenetic study. Results TaxMan uses freely available tools to allow rapid assembly, storage and analysis of large, aligned DNA and protein sequence datasets for user-defined sets of species and genes. The user provides GenBank format files and a list of gene names and synonyms for the loci to analyse. Sequences are extracted from the GenBank files on the basis of annotation and sequence similarity. Consensus sequences are built automatically. Alignment is carried out (where possible, at the protein level and aligned sequences are stored in a database. TaxMan can automatically determine the best subset of taxa to examine phylogeny at a given taxonomic level. By using the stored aligned sequences, large concatenated multiple sequence alignments can be generated rapidly for a subset and output in analysis-ready file formats. Trees resulting from phylogenetic analysis can be stored and compared with a reference taxonomy. Conclusion TaxMan allows rapid automated assembly of a multigene datasets of aligned sequences for large taxonomic groups. By extracting sequences on the basis of

International Code of Nomenclature for Algae, Fungi, and Plants (Melbourne Code): Appendices II-VIII

Science.gov (United States)

Science requires a precise, stable, and simple system of nomenclature used by scientists in all countries of the world, dealing on the one hand with the terms that denote the ranks of taxonomic groups, and on the other with the scientific names that are applied to the individual taxonomic units of a...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008-10-30 for the Global Argo Data Repository from 1998-05-18 to 2008-11-05 (NODC Accession 0048681)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008-08-28 for the Global Argo Data Repository from 2001-11-01 to 2008-09-03 (NODC Accession 0045171)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008-06-26 for the Global Argo Data Repository from 2006-10-24 to 2008-07-02 (NODC Accession 0043168)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Automatic processing of semantic relations in fMRI: neural activation during semantic priming of taxonomic and thematic categories.

Science.gov (United States)

Sachs, Olga; Weis, Susanne; Zellagui, Nadia; Huber, Walter; Zvyagintsev, Mikhail; Mathiak, Klaus; Kircher, Tilo

2008-07-07

Most current models of knowledge organization are based on hierarchical or taxonomic categories (animals, tools). Another important organizational pattern is thematic categorization, i.e. categories held together by external relations, a unifying scene or event (car and garage). The goal of this study was to compare the neural correlates of these categories under automatic processing conditions that minimize strategic influences. We used fMRI to examine neural correlates of semantic priming for category members with a short stimulus onset asynchrony (SOA) of 200 ms as subjects performed a lexical decision task. Four experimental conditions were compared: thematically related words (car-garage); taxonomically related (car-bus); unrelated (car-spoon); non-word trials (car-derf). We found faster reaction times for related than for unrelated prime-target pairs for both thematic and taxonomic categories. However, the size of the thematic priming effect was greater than that of the taxonomic. The imaging data showed signal changes for the taxonomic priming effects in the right precuneus, postcentral gyrus, middle frontal and superior frontal gyri and thematic priming effects in the right middle frontal gyrus and anterior cingulate. The contrast of neural priming effects showed larger signal changes in the right precuneus associated with the taxonomic but not with thematic priming response. We suggest that the greater involvement of precuneus in the processing of taxonomic relations indicates their reduced salience in the knowledge structure compared to more prominent thematic relations.

Taxonomical analysis of the Cancer cluster of galaxies

International Nuclear Information System (INIS)

Perea, J.; Olmo, A. del; Moles, M.

1986-01-01

A description is presented of the Cancer cluster of galaxies, based on a taxonomical analysis in (α,delta, Vsub(r)) space. Earlier results by previous authors on the lack of dynamical entity of the cluster are confirmed. The present analysis points out the existence of a binary structure in the most populated region of the complex. (author)

Underway meteorological, navigational, physical, profile and time series data collected aboard NOAA Ship Ronald H. Brown in the Coral Sea, North Pacific Ocean and South Pacific Ocean from 2014-10-06 to 2014-11-01 (NODC Accession 0123096)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0123096 contains raw underway meteorological, navigational, physical, profile and time series data logged by the Scientific Computer System (SCS)...

Improved taxonomic assignment of human intestinal 16S rRNA sequences by a dedicated reference database

NARCIS (Netherlands)

Ritari, Jarmo; Salojärvi, Jarkko; Lahti, Leo; Vos, de Willem M.

2015-01-01

Background: Current sequencing technology enables taxonomic profiling of microbial ecosystems at high resolution and depth by using the 16S rRNA gene as a phylogenetic marker. Taxonomic assignation of newly acquired data is based on sequence comparisons with comprehensive reference databases to

Taxonomic and Phylogenetic Determinants of Functional Composition of Bolivian Bat Assemblages.

Directory of Open Access Journals (Sweden)

Luis F Aguirre

Full Text Available Understanding diversity patterns and the potential mechanisms driving them is a fundamental goal in ecology. Examination of different dimensions of biodiversity can provide insights into the relative importance of different processes acting upon biotas to shape communities. Unfortunately, patterns of diversity are still poorly understood in hyper-diverse tropical countries. Here, we assess spatial variation of taxonomic, functional and phylogenetic diversity of bat assemblages in one of the least studied Neotropical countries, Bolivia, and determine whether changes in biodiversity are explained by the replacement of species or functional groups, or by differences in richness (i.e., gain or loss of species or functional groups. Further, we evaluate the contribution of phylogenetic and taxonomic changes in the resulting patterns of functional diversity of bats. Using well-sampled assemblages from published studies we examine noctilionoid bats at ten study sites across five ecoregions in Bolivia. Bat assemblages differed from each other in all dimensions of biodiversity considered; however, diversity patterns for each dimension were likely structured by different mechanisms. Within ecoregions, differences were largely explained by species richness, suggesting that the gain or loss of species or functional groups (as opposed to replacement was driving dissimilarity patterns. Overall, our results suggest that whereas evolutionary processes (i.e., historical connection and dispersal routes across Bolivia create a template of diversity patterns across the country, ecological mechanisms modify these templates, decoupling the observed patterns of functional, taxonomic and phylogenetic diversity in Bolivian bats. Our results suggests that elevation represents an important source of variability among diversity patterns for each dimension of diversity considered. Further, we found that neither phylogenetic nor taxonomic diversity can fully account for

Taxonomic and Phylogenetic Determinants of Functional Composition of Bolivian Bat Assemblages.

Science.gov (United States)

Aguirre, Luis F; Montaño-Centellas, Flavia A; Gavilanez, M Mercedes; Stevens, Richard D

2016-01-01

Understanding diversity patterns and the potential mechanisms driving them is a fundamental goal in ecology. Examination of different dimensions of biodiversity can provide insights into the relative importance of different processes acting upon biotas to shape communities. Unfortunately, patterns of diversity are still poorly understood in hyper-diverse tropical countries. Here, we assess spatial variation of taxonomic, functional and phylogenetic diversity of bat assemblages in one of the least studied Neotropical countries, Bolivia, and determine whether changes in biodiversity are explained by the replacement of species or functional groups, or by differences in richness (i.e., gain or loss of species or functional groups). Further, we evaluate the contribution of phylogenetic and taxonomic changes in the resulting patterns of functional diversity of bats. Using well-sampled assemblages from published studies we examine noctilionoid bats at ten study sites across five ecoregions in Bolivia. Bat assemblages differed from each other in all dimensions of biodiversity considered; however, diversity patterns for each dimension were likely structured by different mechanisms. Within ecoregions, differences were largely explained by species richness, suggesting that the gain or loss of species or functional groups (as opposed to replacement) was driving dissimilarity patterns. Overall, our results suggest that whereas evolutionary processes (i.e., historical connection and dispersal routes across Bolivia) create a template of diversity patterns across the country, ecological mechanisms modify these templates, decoupling the observed patterns of functional, taxonomic and phylogenetic diversity in Bolivian bats. Our results suggests that elevation represents an important source of variability among diversity patterns for each dimension of diversity considered. Further, we found that neither phylogenetic nor taxonomic diversity can fully account for patterns of functional

La confusa taxonomía de Cryptosporidium

Directory of Open Access Journals (Sweden)

Gregorio Pérez-Cordón

2006-10-01

Full Text Available Los últimos descubrimientos en la biología y filogenética de Cryptosporidium refuerzan la necesidad de una exhaustiva revisión del ciclo de vida y la taxonomía de este parásito. Tanto futuros estudios de cultivo in vitro e in vivo así como estudios moleculares y genéticos permitirán avanzar en el profundo conocimiento de este interesante parásito.

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the POLARSTERN in the South Atlantic Ocean from 1989-09-06 to 1989-10-30 (NODC Accession 0116645)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116645 includes chemical, discrete sample, physical and profile data collected from POLARSTERN in the South Atlantic Ocean from 1989-09-06 to...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the DISCOVERY in the North Atlantic Ocean from 1989-07-16 to 1989-08-10 (NODC Accession 0113532)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113532 includes chemical, discrete sample, physical and profile data collected from DISCOVERY in the North Atlantic Ocean from 1989-07-16 to...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the ENDEAVOR in the North Atlantic Ocean from 1991-03-28 to 1991-04-21 (NODC Accession 0113988)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113988 includes chemical, discrete sample, physical and profile data collected from ENDEAVOR in the North Atlantic Ocean from 1991-03-28 to...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the AURORA AUSTRALIS in the Indian Ocean from 1991-09-25 to 1991-10-27 (NODC Accession 0116370)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116370 includes chemical, discrete sample, physical and profile data collected from AURORA AUSTRALIS in the Indian Ocean from 1991-09-25 to...

Underway meteorological, navigational, optical, physical, profile and time series data collected aboard NOAA Ship Bell M. Shimada in the Coastal Waters of SE Alaska and North Pacific Ocean from 2015-02-11 to 2015-03-03 (NODC Accession 0126536)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0126536 contains raw underway meteorological, navigational, optical, physical, profile and time series data logged by the Scientific Computer System...

Temperature and salinity profile data from globally distributed Argo profiling for the week of 2008-03-02 for the Global Argo Data Repository, date ranged from 2002-03-30 to 2008-03-11 (NODC Accession 0039531)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2009-07-16 for the Global Argo Data Repository, date ranged from 2002-03-01 2009-07-22 (NODC Accession 0056186)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Taxonomic and functional responses to fire and post-fire management of a Mediterranean hymenoptera community.

Science.gov (United States)

Mateos, Eduardo; Santos, Xavier; Pujade-Villar, Juli

2011-11-01

Fire is one of the commonest disturbances worldwide, transforming habitat structure and affecting ecosystem functioning. Understanding how species respond to such environmental disturbances is a major conservation goal that should be monitored using functionally and taxonomically diverse groups such as Hymenoptera. In this respect, we have analyzed the taxonomic and functional response to fire and post-fire management of a Hymenoptera community from a Mediterranean protected area. Thus, Hymenoptera were sampled at fifteen sites located in three burnt areas submitted to different post-fire practices, as well as at five sites located in peripheral unburnt pine forest. A total of 4882 specimens belonging to 33 families, which were classified into six feeding groups according to their dietary preferences, were collected. ANOVA and Redundancy Analyses showed a taxonomic and functional response to fire as all burnt areas had more Hymenoptera families, different community composition and higher numbers of parasitoids than the unburnt area. Taxonomic differences were also found between burnt areas in terms of the response of Hymenoptera to post-fire management. In general the number of parasitoids was positively correlated to the number of potential host arthropods. Parasitoids are recognized to be sensitive to habitat changes, thus highlighting their value for monitoring the functional responses of organisms to habitat disturbance. The taxonomic and functional responses of Hymenoptera suggest that some pine-forest fires can enhance habitat heterogeneity and arthropod diversity, hence increasing interspecific interactions such as those established by parasitoids and their hosts.

Taxonomic and Functional Responses to Fire and Post-Fire Management of a Mediterranean Hymenoptera Community

Science.gov (United States)

Mateos, Eduardo; Santos, Xavier; Pujade-Villar, Juli

2011-11-01

Fire is one of the commonest disturbances worldwide, transforming habitat structure and affecting ecosystem functioning. Understanding how species respond to such environmental disturbances is a major conservation goal that should be monitored using functionally and taxonomically diverse groups such as Hymenoptera. In this respect, we have analyzed the taxonomic and functional response to fire and post-fire management of a Hymenoptera community from a Mediterranean protected area. Thus, Hymenoptera were sampled at fifteen sites located in three burnt areas submitted to different post-fire practices, as well as at five sites located in peripheral unburnt pine forest. A total of 4882 specimens belonging to 33 families, which were classified into six feeding groups according to their dietary preferences, were collected. ANOVA and Redundancy Analyses showed a taxonomic and functional response to fire as all burnt areas had more Hymenoptera families, different community composition and higher numbers of parasitoids than the unburnt area. Taxonomic differences were also found between burnt areas in terms of the response of Hymenoptera to post-fire management. In general the number of parasitoids was positively correlated to the number of potential host arthropods. Parasitoids are recognized to be sensitive to habitat changes, thus highlighting their value for monitoring the functional responses of organisms to habitat disturbance. The taxonomic and functional responses of Hymenoptera suggest that some pine-forest fires can enhance habitat heterogeneity and arthropod diversity, hence increasing interspecific interactions such as those established by parasitoids and their hosts.

Evolutionary history of Leishmania killicki (synonymous Leishmania tropica) and taxonomic implications.

Science.gov (United States)

Chaara, Dhekra; Ravel, Christophe; Bañuls, Anne- Laure; Haouas, Najoua; Lami, Patrick; Talignani, Loïc; El Baidouri, Fouad; Jaouadi, Kaouther; Harrat, Zoubir; Dedet, Jean-Pierre; Babba, Hamouda; Pratlong, Francine

2015-04-01

The taxonomic status of Leishmania (L.) killicki, a parasite that causes chronic cutaneous leishmaniasis, is not well defined yet. Indeed, some researchers suggested that this taxon could be included in the L. tropica complex, whereas others considered it as a distinct phylogenetic complex. To try to solve this taxonomic issue we carried out a detailed study on the evolutionary history of L. killicki relative to L. tropica. Thirty-five L. killicki and 25 L. tropica strains isolated from humans and originating from several countries were characterized using the MultiLocus Enzyme Electrophoresis (MLEE) and the MultiLocus Sequence Typing (MLST) approaches. The results of the genetic and phylogenetic analyses strongly support the hypothesis that L. killicki belongs to the L. tropica complex. Our data suggest that L. killicki emerged from a single founder event and that it evolved independently from L. tropica. However, they do not validate the hypothesis that L. killicki is a distinct complex. Therefore, we suggest naming this taxon L. killicki (synonymous L. tropica) until further epidemiological and phylogenetic studies justify the L. killicki denomination. This study provides taxonomic and phylogenetic information on L. killicki and improves our knowledge on the evolutionary history of this taxon.

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from ATLANTIS II in the North Atlantic Ocean from 1981-06-12 to 1981-07-08 (NODC Accession 0117713)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0117713 includes chemical, discrete sample, physical and profile data collected from ATLANTIS II in the North Atlantic Ocean from 1981-06-12 to...

The taxonomic status of giant sengis ( genus Rhynchocyon ) in ...

African Journals Online (AJOL)

The sengis (elephant-shrews) of Mozambique are poorly known, especially the taxonomic status of the giant sengis, genus Rhynchocyon. Currently, Rhynchocyon from Mozambique are thought to be chequered sengis, R. cirnei with specimens from the central coastal areas being placed in the subspecies R. c. cirnei, while ...

Floristic composition and taxonomic distribution of plants in the ...

African Journals Online (AJOL)

Floristic composition and taxonomic distribution of plants in the dryland of Northwestern Nigeria. ... Analysis of abundance and rarity of species reveals that 10% and 90% of the encountered species were abundant and rare respectively in the study area. These finding poses serious ecological concerns in the study area, ...

An improved taxonomic sampling is a necessary but not sufficient condition for resolving inter-families relationships in Caridean decapods.

Science.gov (United States)

Aznar-Cormano, L; Brisset, J; Chan, T-Y; Corbari, L; Puillandre, N; Utge, J; Zbinden, M; Zuccon, D; Samadi, S

2015-04-01

During the past decade, a large number of multi-gene analyses aimed at resolving the phylogenetic relationships within Decapoda. However relationships among families, and even among sub-families, remain poorly defined. Most analyses used an incomplete and opportunistic sampling of species, but also an incomplete and opportunistic gene selection among those available for Decapoda. Here we test in the Caridea if improving the taxonomic coverage following the hierarchical scheme of the classification, as it is currently accepted, provides a better phylogenetic resolution for the inter-families relationships. The rich collections of the Muséum National d'Histoire Naturelle de Paris are used for sampling as far as possible at least two species of two different genera for each family or subfamily. All potential markers are tested over this sampling. For some coding genes the amplification success varies greatly among taxa and the phylogenetic signal is highly saturated. This result probably explains the taxon-heterogeneity among previously published studies. The analysis is thus restricted to the genes homogeneously amplified over the whole sampling. Thanks to the taxonomic sampling scheme the monophyly of most families is confirmed. However the genes commonly used in Decapoda appear non-adapted for clarifying inter-families relationships, which remain poorly resolved. Genome-wide analyses, like transcriptome-based exon capture facilitated by the new generation sequencing methods might provide a sounder approach to resolve deep and rapid radiations like the Caridea.

Concordance and discordance between taxonomic and functional homogenization: responses of soil mite assemblages to forest conversion.

Science.gov (United States)

Mori, Akira S; Ota, Aino T; Fujii, Saori; Seino, Tatsuyuki; Kabeya, Daisuke; Okamoto, Toru; Ito, Masamichi T; Kaneko, Nobuhiro; Hasegawa, Motohiro

2015-10-01

The compositional characteristics of ecological assemblages are often simplified; this process is termed "biotic homogenization." This process of biological reorganization occurs not only taxonomically but also functionally. Testing both aspects of homogenization is essential if ecosystem functioning supported by a diverse mosaic of functional traits in the landscape is concerned. Here, we aimed to infer the underlying processes of taxonomic/functional homogenization at the local scale, which is a scale that is meaningful for this research question. We recorded species of litter-dwelling oribatid mites along a gradient of forest conversion from a natural forest to a monoculture larch plantation in Japan (in total 11 stands), and collected data on the functional traits of the recorded species to quantify functional diversity. We calculated the taxonomic and functional β-diversity, an index of biotic homogenization. We found that both the taxonomic and functional β-diversity decreased with larch dominance (stand homogenization). After further deconstructing β-diversity into the components of turnover and nestedness, which reflect different processes of community organization, a significant decrease in the response to larch dominance was observed only for the functional turnover. As a result, there was a steeper decline in the functional β-diversity than the taxonomic β-diversity. This discordance between the taxonomic and functional response suggests that species replacement occurs between species that are functionally redundant under environmental homogenization, ultimately leading to the stronger homogenization of functional diversity. The insights gained from community organization of oribatid mites suggest that the functional characteristics of local assemblages, which support the functionality of ecosystems, are of more concern in human-dominated forest landscapes.

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Coastal Waters of SE Alaska, Gulf of Alaska and North Pacific Ocean from 2013-09-24 to 2013-11-03 (NODC Accession 0124206)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0124206 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Coastal Waters of SE Alaska, Gulf of Alaska and North Pacific Ocean from 2015-01-24 to 2015-01-30 (NODC Accession 0126876)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0126876 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Coastal Waters of SE Alaska, Gulf of Alaska and North Pacific Ocean from 2013-04-04 to 2013-04-15 (NODC Accession 0124185)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0124185 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

Underway meteorological, navigational, optical, physical and time series data collected aboard NOAA Ship Oscar Dyson in the Coastal Waters of SE Alaska, Gulf of Alaska and North Pacific Ocean from 2013-01-28 to 2013-02-03 (NODC Accession 0124297)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0124297 contains raw underway meteorological, navigational, optical, physical and time series data logged by the Scientific Computer System (SCS)...

pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the HESPERIDES in the South Atlantic Ocean from 1995-12-03 to 1996-01-05 (NODC Accession 0113549)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113549 includes biological, chemical, discrete sample, physical and profile data collected from HESPERIDES in the South Atlantic Ocean from...

pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the HESPERIDES in the South Atlantic Ocean from 1996-01-17 to 1996-02-05 (NODC Accession 0113755)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113755 includes biological, chemical, discrete sample, physical and profile data collected from HESPERIDES in the South Atlantic Ocean from...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008-11-06 for the Global Argo Data Repository, date ranged from 1997-07-05 to 2008-11-12 (NODC Accession 0048682)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008-08-14 for the Global Argo Data Repository, date ranged from 2006-10-22 to 2008-08-20 (NODC Accession 0044799)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2008-02-24 for the Global Argo Data Repository, date ranged from 1979-05-15 to 2008-03-01 (NODC Accession 0039348)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-11-04 for the Global Argo Data Repository, date ranged from 1995-09-07 to 2007-11-10 (NODC Accession 0036509)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008-10-23 for the Global Argo Data Repository, date ranged from 1998-05-22 to 2008-10-29 (NODC Accession 0047147)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-10-14 for the Global Argo Data Repository, date ranged from 1995-09-07 to 2007-10-20 (NODC Accession 0035978)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008-06-19 for the Global Argo Data Repository, date ranged from 2003-05-02 to 2008-06-25 (NODC Accession 0043160)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-10-21 for the Global Argo Data Repository, date ranged from 2001-06-04 to 2007-10-27 (NODC Accession 0036107)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-12-30 for the Global Argo Data Repository, date ranged from 2007-09-26 to 2008-01-05 (NODC Accession 0037968)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-11-25 for the Global Argo Data Repository, date ranged from 2000-05-10 to 2007-12-01 (NODC Accession 0036984)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-12-09 for the Global Argo Data Repository, date ranged from 2001-11-21 to 2007-12-15 (NODC Accession 0037174)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2008-02-17 for the Global Argo Data Repository, date ranged from 2004-06-16 to 2008-02-23 (NODC Accession 0039187)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2008-03-20 for the Global Argo Data Repository, date ranged from 2005-09-03 to 2008-03-26 (NODC Accession 0039831)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2008-05-08 for the Global Argo Data Repository, date ranged from 1999-10-22 to 2008-05-14 (NODC Accession 0042233)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008-07-10 for the Global Argo Data Repository, date ranged from 2007-12-18 to 2008-07-17 (NODC Accession 0043460)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2008-02-10 for the Global Argo Data Repository, date ranged from 2002-06-21 to 2008-02-16 (NODC Accession 0038996)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008-07-17 for the Global Argo Data Repository, date ranged from 2002-08-06 to 2008-07-23 (NODC Accession 0043700)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2008-02-03 for the Global Argo Data Repository, date ranged from 2005-03-15 to 2008-02-09 (NODC Accession 0038806)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2008-04-10 for the Global Argo Data Repository, date ranged from 2003-01-04 to 2008-04-16 (NODC Accession 0041438)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2008-05-29 for the Global Argo Data Repository, date ranged from 2006-03-01 to 2008-06-04 (NODC Accession 0042701)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008-09-18 for the Global Argo Data Repository, date ranged from 1997-07-28 to 2008-09-24 (NODC Accession 0045718)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008-07-24 for the Global Argo Data Repository, date ranged from 2002-04-06 to 2008-07-30 (NODC Accession 0044081)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008- 10-16 for the Global Argo Data Repository, date ranged from 1998-05-22 to 2008-10-22 (NODC Accession 0046744)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-12-16 for the Global Argo Data Repository, date ranged from 2002-09-28 to 2007-12-22 (NODC Accession 0037749)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008-10-02 for the Global Argo Data Repository, date ranged from 2002-01-19 to 2008-10-08 (NODC Accession 0046221)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2008-03-13 for the Global Argo Data Repository, date ranged from 2002-03-30 to 2008-03-19 (NODC Accession 0039736)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-12-02 for the Global Argo Data Repository, date ranged from 1999-10-22 to 2007-12-08 (NODC Accession 0037064)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2008-05-22 for the Global Argo Data Repository, date ranged from 2006-10-03 to 2008-05-27 (NODC Accession 0042581)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2008-01-20 for the Global Argo Data Repository, date ranged from 2001-06-13 to 2008-01-26 (NODC Accession 0038512)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2008-01-27 for the Global Argo Data Repository, date ranged from 2001-06-06 to 2008-02-02 (NODC Accession 0038684)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-11-11 for the Global Argo Data Repository, date ranged from 2002-01-11 to 2007-11-17 (NODC Accession 0036655)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008-07-31 for the Global Argo Data Repository, date ranged from 2005-09-23 to 2008-08-06 (NODC Accession 0044418)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008-05-01 for the Global Argo Data Repository, date ranged from 1999-10-21 to 2008-05-07 (NODC Accession 0042027)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2008-04-24 for the Global Argo Data Repository, date ranged from 1992-02-07 to 2008-04-30 (NODC Accession 0041852)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-11-18 for the Global Argo Data Repository, date ranged from 2004-04-08 to 2007-11-24 (NODC Accession 0036810)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2008-06-12 for the Global Argo Data Repository, date ranged from 2006-03-24 to 2008-06-18 (NODC Accession 0042993)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008-10-09 for the Global Argo Data Repository, date ranged from 1999-10-21 to 2008-10-15 (NODC Accession 0046551)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2008-01-06 for the Global Argo Data Repository, date ranged from 2002-12-13 to 2008-01-12 (NODC Accession 0038182)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2008-05-15 for the Global Argo Data Repository, date ranged from 2008-05-04 to 2008-05-21 (NODC Accession 0042436)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2008-04-17 for the Global Argo Data Repository, date ranged from 2004-01-01 to 2008-04-23 (NODC Accession 0041687)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008-09-04 for the Global Argo Data Repository, date ranged from 2000-12-28 to 2008-09-10 (NODC Accession 0045433)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008-07-03 for the Global Argo Data Repository, date ranged from 2002-08-02 to 2008-07-09 (NODC Accession 0043301)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008-06-05 for the Global Argo Data Repository, date ranged from 2006-10-08 to 2008-06-11 (NODC Accession 0042829)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008-09-11 for the Global Argo Data Repository, date ranged from 1999-11-22 to 2008-09-17 (NODC Accession 0045501)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and Salinity profile data from globally distributed Argo profiling floats for the week of 2008-08-07 for the Global Argo Data Repository, date ranged from 2006-09-25 to 2008-08-12 (NODC Accession 0044571)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-12-23 for the Global Argo Data Repository, date ranged from 2001-12-13 to 2007-12-29 (NODC Accession 0037840)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-01-13 for the Global Argo Data Repository, date ranged from 2000-05-19 to 2008-01-19 (NODC Accession 0038416)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2009-02-12 for the Global Argo Data Repository, date ranged from 1998-05-13 to 2009-02-18 (NODC Accession 0051087)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-09-30 for the Global Argo Data Repository, date ranged from 2001-12-02 to 2007-10-06 (NODC Accession 0035503)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository(GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2009-10-01 for the Global Argo Data Repository, date ranged from 2007-06-10 to 2009-10-07 (NODC Accession 0058661)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-04-22 for the Global Argo Data Repository, date ranged from 2003-02-02 to 2007-04-28 (NODC Accession 0014931)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2005-11-20 for the Global Argo Data Repository, date ranged from 2002-03-21 to 2005-11-26 (NODC Accession 0002459)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2010-09-09 for the Global Argo Data Repository, date ranged from 1999-10-24 to 2010-08-30 (NODC Accession 0067580)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository(GADR as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2005-09-25 for the Global Argo Data Repository, date ranged from 2001-12-21 to 2005-10-01 (NODC Accession 0002389)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2010-01-07 for the Global Argo Data Repository, date ranged from 2003-09-15 to 2010-01-13 (NODC Accession 0061249)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2010-05-27 for the Global Argo Data Repository, date ranged from 2002-03-08 to 2010-06-02 (NODC Accession 0064761)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository(GADR as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2006-03-19 for the Global Argo Data Repository, date ranged from 2004-07-14 to 2006-03-25 (NODC Accession 0002612)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2003-11-23 for the Global Argo Data Repository, date ranged from 2003-07-20 to 2003-11-29 (NODC Accession 0001246)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2004-05-23 for the Global Argo Data Repository, date ranged from 2000-07-01 to 2004-05-29 (NODC Accession 0001478)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2004-01-18 for the Global Argo Data Repository, date ranged from 2003-11-08 to 2004-01-24 (NODC Accession 0001357)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2009-03-05 for the Global Argo Data Repository, date ranged from 1998-05-18 to 2009-03-10 (NODC Accession 0001641)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2004-10-03 for the Global Argo Data Repository, date ranged from 2001-08-08 to 2004-10-09 (NODC Accession 0001749)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-02-25 for the Global Argo Data Repository, date ranged from 2001-08-25 to 2007-03-03 (NODC Accession 0013725)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2004-04-25 for the Global Argo Data Repository, date ranged from 1999-10-24 to 2004-05-01 (NODC Accession 0001437)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2006-06-04 for the Global Argo Data Repository, date ranged from 2005-01-22 to 2006-06-10 (NODC Accession 0002711)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-07-08 for the Global Argo Data Repository, date ranged from 2002-03-30 to 2007-07-14 (NODC Accession 0029182)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2004-11-21 for the Global Argo Data Repository, date ranged from 2002-08-30 to 2004-11-27 (NODC Accession 0001911)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2009-01-22 for the Global Argo Data Repository, date ranged from 2001-02-10 to 2009-01-28 (NODC Accession 0050189)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2006-03-12 for the Global Argo Data Repository, date ranged from 2005-10-27 to 2006-03-18 (NODC Accession 0002605)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2004-02-08 for the Global Argo Data Repository, date ranged from 2000-08-30 to 2004-02-14 (NODC Accession 0001360)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2006-04-16 for the Global Argo Data Repository, date ranged from 1999-07-01 to 2006-04-22 (NODC Accession 0002646)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2005-10-16 for the Global Argo Data Repository, date ranged from 2001-07-12 to 2005-10-19 (NODC Accession 0002413)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2009-08-20 for the Global Argo Data Repository, date ranged from 2001-09-30 to 2009-08-26 (NODC Accession 0057201)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2006-10-22 for the Global Argo Data Repository, date ranged from 2004-02-25 to 2006-10-28 (NODC Accession 0010636)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2010-09-16 for the Global Argo Data Repository, date ranged from 1999-10-21 to 2010-09-22 (NODC Accession 0067581)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository(GADR as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2003-07-06 for the Global Argo Data Repository, date ranged from 1997-07-28 to 2003-07-12 (NODC Accession 0001095)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-02-04 for the Global Argo Data Repository, date ranged from 2000-02-05 to 2007-02-10 (NODC Accession 0013171)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2006-09-17 for the Global Argo Data Repository, date ranged from 2000-06-02 to 2006-09-23 (NODC Accession 0006774)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-03-25 for the Global Argo Data Repository, date ranged from 2002-03-30 to 2007-03-31 (NODC Accession 0014451)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2009-11-19 for the Global Argo Data Repository, date ranged from 2000-02-01 to 2009-11-25 (NODC Accession 0059843)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-01-21 for the Global Argo Data Repository, date ranged from 2003-01-09 to 2007-01-27 (NODC Accession 0012971)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2004-04-11 for the Global Argo Data Repository, date ranged from 2000-11-22 to 2004-04-17 (NODC Accession 0001428)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2004-02-01 for the Global Argo Data Repository, date ranged from 2000-09-21 to 2004-02-07 (NODC Accession 0001359)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2004-06-20 for the Global Argo Data Repository, date ranged from 2003-07-05 to 2004-06-26 (NODC Accession 0001514)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-07-01 for the Global Argo Data Repository, date ranged from 2001-11-22 to 2007-07-07 (NODC Accession 0026390)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-06-03 for the Global Argo Data Repository, date ranged from 2003-12-03 to 2007-06-09 (NODC Accession 0020394)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository(GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-05-20 for the Global Argo Data Repository, date ranged from 2003-07-29 to 2007-05-26 (NODC Accession 0019205)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2005-05-08 for the Global Argo Data Repository, date ranged from 2005-03-31 to 2005-05-14 (NODC Accession 0002178)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2006-07-16 for the Global Argo Data Repository, date ranged from 2000-05-10 to 2006-07-22 (NODC Accession 0002765)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2003-09-21 for the Global Argo Data Repository, date ranged from 2003-05-28 to 2003-09-27 (NODC Accession 0001182)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-06-17 for the Global Argo Data Repository, date ranged from 2002-08-04 to 2007-06-23 (NODC Accession 0020556)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2003-12-07 for the Global Argo Data Repository, date ranged from 2003-11-24 to 2003-12-13 (NODC Accession 0001266)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2004-09-12 for the Global Argo Data Repository, date ranged from 2004-01-12 to 2004-09-18 (NODC Accession 0001719)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2009-11-26 for the Global Argo Data Repository, date ranged from 2001-12-21 to 2009-12-02 (NODC Accession 0059941)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2007-01-14 for the Global Argo Data Repository, date ranged from 2002-11-10 to 2007-01-20 (NODC Accession 0012843)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Temperature and salinity profile data from globally distributed Argo profiling floats for the week of 2006-09-24 for the Global Argo Data Repository, date ranged from 2001-02-10 to 2006-09-30 (NODC Accession 0009915)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project...

Main functions and taxonomic distribution of virulence genes in Brucella melitensis 16 M.

Directory of Open Access Journals (Sweden)

Aniel Jessica Leticia Brambila-Tapia

Full Text Available Many virulence genes have been detected in attenuated mutants of Brucella melitensis 16 M; nevertheless, a complete report of these genes, including the main Cluster of Orthologous Groups (COG represented as well as the taxonomical distribution among all complete bacterial and archaeal genomes, has not been analyzed. In this work a total of 160 virulence genes that have been reported in attenuated mutants in B. melitensis were included and analyzed. Additionally, we obtained 250 B. melitensis randomly selected genes as a reference group for the taxonomical comparisons. The COGs and the taxonomical distribution profile for 789 nonredundant bacterial and archaeal genomes were obtained and compared with the whole-genome COG distribution and with the 250 randomly selected genes, respectively. The main COGs associated with virulence genes corresponded to the following: intracellular trafficking, secretion and vesicular transport (U; cell motility (N; nucleotide transport and metabolism (F; transcription (K; and cell wall/membrane/envelope biogenesis (M. In addition, we found that virulence genes presented a higher proportion of orthologs in the Euryarchaeota and Proteobacteria phyla, with a significant decrease in Chlamydiae, Bacteroidetes, Tenericutes, Firmicutes and Thermotogae. In conclusion, we found that genes related to specific functions are more relevant to B. melitensis virulence, with the COG U the most significant. Additionally, the taxonomical distribution of virulence genes highlights the importance of these genes in the related Proteobacteria, being less relevant in distant groups of organisms with the exception of Euryarchaeota.

Taxonomic perspective of plant species yielding vegetable oils used ...

African Journals Online (AJOL)

A search conducted to determine the plants yielding vegetable oils resulted in 78 plant species with potential use in cosmetics and skin care products. The taxonomic position of these plant species is described with a description of vegetable oils from these plants and their use in cosmetic and skin care products.

Data composition and taxonomic resolution in macroinvertebrate stream typology

NARCIS (Netherlands)

Verdonschot, P.F.M.

2006-01-01

In the EU water framework directive (WFD) a typological framework is defined for assessing the ecological quality of water bodies in the future. The aim of this study was to test the effect of data composition and taxonomic resolution on this typology. The EU research projects AQEM and STAR provided

Environmental quality of a stream can be better predicted by phylogenetic than by taxonomic diversity

Directory of Open Access Journals (Sweden)

Koperski Paweł

2017-01-01

Full Text Available Different indices of taxonomic diversity (TD and phylogenetic diversity (PD of the macrobenthos were compared to determine the efficient predictors of environmental quality (EQ in different types of watercourses in Poland. Archived data of 864 samples of benthic invertebrates identified to the family level were analysed on the basis of linear and non-linear multiply regression. The strengths of the correlations between two measures of EQ:BMWPpl (British Monitoring Working Party score system, Polish modification and MMI (Multimetric Macroinvertebrate Index and the values of taxonomic richness and three well-known TD indices: Shannon, Margalef and J' Evenness were compared to those for values of three PD indices, based on taxonomic distinctness. Taxonomic richness and all PD indices correlated more strongly with both measures of EQ than all TD indices. Correlations with both types of diversity indices were visibly stronger for BMWPpl when compared with MMI. We suggest that analysed indices of PD, especially MDis (mean phylogenetic distance between families in a sample, are related with EQ strongly enough to be taken into account as potential metrics in selection procedures of biological assessment.

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the Hakuho Maru in the North Pacific Ocean from 1993-05-13 to 1993-05-30 (NODC Accession 0115496)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115496 includes chemical, discrete sample, physical and profile data collected from Hakuho Maru in the North Pacific Ocean from 1993-05-13 to...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the OCEAN RESEARCHER I in the Philippine Sea from 1991-06-26 to 1991-07-04 (NODC Accession 0115598)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115598 includes chemical, discrete sample, physical and profile data collected from OCEAN RESEARCHER I in the Philippine Sea from 1991-06-26 to...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the NEW HORIZON in the North Pacific Ocean from 1980-08-10 to 1980-09-03 (NODC Accession 0116707)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116707 includes chemical, discrete sample, physical and profile data collected from NEW HORIZON in the North Pacific Ocean from 1980-08-10 to...

Distribution of taxonomic classes and the compositional structure of the astreroid belt

International Nuclear Information System (INIS)

Gradie, J.C.; Tedesco, E.F.

1989-01-01

The distribution of asteroid taxonomic classes and, presumably, actual composition varies systematically with heliocentric distance and is seen qualitatively in the results of a variety of taxonomy methods. In general, the distribution of taxonomic classes is characterized by moderate-albedo asteroids dominant in the inner belt with low-albedo asteroids prevalent in the outer belt and beyond. If the differences in taxonomic classes are assumed to be due to differences in composition, then the asteroid belt can be divided into many compositionally distinct regions defined by peaks and troughs in the distributions of the various classes. Unfortunately, differences in the class definitions used by different classification methods are manifested in the bias-corrected distribution of the classes, which makes detailed interpretation of these trends difficult. UBV color differences among members of the moderate-albedo S class show a distribution in semimajor axis which indicates subgroups in the S class. Explanations of the causes of the overall trends range from primarily dynamical to primarily in situ arrangements of igneous, metamorphic and unaltered primitive material, but a combination of several of these factors may be more likely

Chrysomya albiceps and C. rufifacies (Diptera: Calliphoridae): contribution to an ongoing taxonomic problem.

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Tantawi, T I; Greenberg, B

1993-05-01

Until recently, the two biologically equivalent blow flies Chrysomya albiceps (Wiedemann) and Chrysomya rufifacies (Macquart) had disjunct distributions outside the Americas; the former was Palaearctic, the latter Australasian and Oriental. The two species are now spreading throughout the Americas and coexist in Argentina. The predatory "hairy" larvae of both species are difficult to separate, which could result in taxonomic errors. New diagnostic characters are presented to differentiate the third instars of the two species. The usefulness of the prostigmatic bristle as a diagnostic taxonomic character in distinguishing adults of these species is questioned.

Partial pressure (or fugacity) of carbon dioxide, salinity and other variables collected from underway - surface observations using Barometric pressure sensor, Carbon dioxide (CO2) gas analyzer and other instruments from NOAA Ship RONALD H. BROWN in 2008 (NODC Accession 0109930)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0109930 includes biological, chemical, meteorological, physical and underway - surface data collected from NOAA Ship RONALD H. BROWN in the North...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the METEOR in the North Atlantic Ocean from 1999-08-13 to 1999-08-31 (NODC Accession 0115603)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115603 includes chemical, discrete sample, physical and profile data collected from METEOR in the North Atlantic Ocean from 1999-08-13 to 1999-08-31...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the METEOR in the North Atlantic Ocean from 2003-06-26 to 2003-07-21 (NODC Accession 0115682)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115682 includes chemical, discrete sample, physical and profile data collected from METEOR in the North Atlantic Ocean from 2003-06-26 to 2003-07-21...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the KNORR in the South Pacific Ocean from 2006-01-30 to 2006-03-14 (NODC Accession 0115593)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115593 includes chemical, discrete sample, physical and profile data collected from KNORR in the South Pacific Ocean from 2006-01-30 to 2006-03-14...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the METEOR in the North Atlantic Ocean from 2001-06-20 to 2001-07-15 (NODC Accession 0115601)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115601 includes chemical, discrete sample, physical and profile data collected from METEOR in the North Atlantic Ocean from 2001-06-20 to 2001-07-15...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the KNORR in the North Atlantic Ocean from 1986-04-24 to 1986-05-18 (NODC Accession 0117678)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0117678 includes chemical, discrete sample, physical and profile data collected from KNORR in the North Atlantic Ocean from 1986-04-24 to 1986-05-18...

Dissolved inorganic carbon, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the TANGAROA in the Indian Ocean from 2002-02-06 to 2002-03-07 (NODC Accession 0113598)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113598 includes biological, chemical, discrete sample, physical and profile data collected from TANGAROA in the Indian Ocean from 2002-02-06 to...

Dissolved inorganic carbon, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the TANGAROA in the Indian Ocean from 2003-02-17 to 2003-03-12 (NODC Accession 0113599)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113599 includes biological, chemical, discrete sample, physical and profile data collected from TANGAROA in the Indian Ocean from 2003-02-17 to...

Coastal habitats as surrogates for taxonomic, functional and trophic structures of benthic faunal communities.

Science.gov (United States)

Törnroos, Anna; Nordström, Marie C; Bonsdorff, Erik

2013-01-01

Due to human impact, there is extensive degradation and loss of marine habitats, which calls for measures that incorporate taxonomic as well as functional and trophic aspects of biodiversity. Since such data is less easily quantifiable in nature, the use of habitats as surrogates or proxies for biodiversity is on the rise in marine conservation and management. However, there is a critical gap in knowledge of whether pre-defined habitat units adequately represent the functional and trophic structure of communities. We also lack comparisons of different measures of community structure in terms of both between- (β) and within-habitat (α) variability when accounting for species densities. Thus, we evaluated a priori defined coastal habitats as surrogates for traditional taxonomic, functional and trophic zoobenthic community structure. We focused on four habitats (bare sand, canopy-forming algae, seagrass above- and belowground), all easily delineated in nature and defined through classification systems. We analyzed uni- and multivariate data on species and trait diversity as well as stable isotope ratios of benthic macrofauna. A good fit between habitat types and taxonomic and functional structure was found, although habitats were more similar functionally. This was attributed to within-habitat heterogeneity so when habitat divisions matched the taxonomic structure, only bare sand was functionally distinct. The pre-defined habitats did not meet the variability of trophic structure, which also proved to differentiate on a smaller spatial scale. The quantification of trophic structure using species density only identified an epi- and an infaunal unit. To summarize the results we present a conceptual model illustrating the match between pre-defined habitat types and the taxonomic, functional and trophic community structure. Our results show the importance of including functional and trophic aspects more comprehensively in marine management and spatial planning.

Land use change has stronger effects on functional diversity than taxonomic diversity in tropical Andean hummingbirds.

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Tinoco, Boris A; Santillán, Vinicio E; Graham, Catherine H

2018-03-01

Land use change modifies the environment at multiple spatial scales, and is a main driver of species declines and deterioration of ecosystem services. However, most of the research on the effects of land use change has focused on taxonomic diversity, while functional diversity, an important predictor of ecosystem services, is often neglected. We explored how local and landscape scale characteristics influence functional and taxonomic diversity of hummingbirds in the Andes Mountains in southern Ecuador. Data was collected in six landscapes along a land use gradient, from an almost intact landscape to one dominated by cattle pastures. We used point counts to sample hummingbirds from 2011 to 2012 to assessed how local factors (i.e., vegetation structure, flowering plants richness, nectar availability) and landscape factors (i.e., landscape heterogeneity, native vegetation cover) influenced taxonomic and functional diversity. Then, we analyzed environment - trait relationships (RLQ test) to explore how different hummingbird functional traits influenced species responses to these factors. Taxonomic and functional diversity of hummingbirds were positively associated with landscape heterogeneity but only functional diversity was positively related to native vegetation coverage. We found a weak response of taxonomic and functional diversity to land use change at the local scale. Environment-trait associations showed that body mass of hummingbirds likely influenced species sensitivity to land use change. In conclusion, landscape heterogeneity created by land use change can positively influence hummingbird taxonomic and functional diversity; however, a reduction of native vegetation cover could decrease functional diversity. Given that functional diversity can mediate ecosystem services, the conservation of native vegetation cover could play a key role in the maintenance of hummingbird pollination services in the tropical Andes. Moreover, there are particular functional

Temperature and Salinity profile data from globally distributed Argo profiling float s for the week of 2008-08-21 for the Global Argo Data Repository, date ranged from 2002-08-04 to 2008-08-27 (NODC Accession 0045045)

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National Oceanic and Atmospheric Administration, Department of Commerce — The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR)as the long-term archive for the International Global Argo Project...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the METEOR in the Labrador Sea and North Atlantic Ocean from 2003-08-31 to 2003-10-05 (NODC Accession 0115587)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115587 includes chemical, discrete sample, physical and profile data collected from METEOR in the Labrador Sea and North Atlantic Ocean from...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the METEOR in the Caribbean Sea and North Atlantic Ocean from 2005-08-13 to 2005-09-19 (NODC Accession 0116566)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116566 includes chemical, discrete sample, physical and profile data collected from METEOR in the Caribbean Sea and North Atlantic Ocean from...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the JOHAN HJORT in the North Greenland Sea and Norwegian Sea from 1996-07-20 to 1996-08-05 (NODC Accession 0115688)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115688 includes biological, chemical, discrete sample, physical and profile data collected from JOHAN HJORT in the North Greenland Sea and Norwegian...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the JAN MAYEN in the Norwegian Sea from 1993-04-01 to 1995-11-01 (NODC Accession 0115677)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115677 includes chemical, discrete sample, physical and profile data collected from JAN MAYEN in the Norwegian Sea from 1993-04-01 to 1995-11-01 and...

A proposal for further integration of the cyanobacteria under the Bacteriological Code.

Science.gov (United States)

Oren, Aharon

2004-09-01

This taxonomic note reviews the present status of the nomenclature of the cyanobacteria under the Bacteriological Code. No more than 13 names of cyanobacterial species have been proposed so far in the International Journal of Systematic and Evolutionary Microbiology (IJSEM)/International Journal of Systematic Bacteriology (IJSB), and of these only five are validly published. The cyanobacteria (Cyanophyta, blue-green algae) are also named under the Botanical Code, and the dual nomenclature system causes considerable confusion. This note calls for a more intense involvement of the International Committee on Systematics of Prokaryotes (ICSP), its Judicial Commission and its Subcommittee on the Taxonomy of Photosynthetic Prokaryotes in the nomenclature of the cyanobacteria under the Bacteriological Code. The establishment of minimal standards for the description of new species and genera should be encouraged in a way that will be acceptable to the botanical authorities as well. This should be followed by the publication of an 'Approved List of Names of Cyanobacteria' in IJSEM. The ultimate goal is to achieve a consensus nomenclature that is acceptable both to bacteriologists and to botanists, anticipating the future implementation of a universal 'Biocode' that would regulate the nomenclature of all organisms living on Earth.

Taxonomic and Thematic Organisation of Proper Name Conceptual Knowledge

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Sebastian J. Crutch

2011-01-01

Full Text Available We report the investigation of the organisation of proper names in two aphasic patients (NBC and FBI. The performance of both patients on spoken word to written word matching tasks was inconsistent, affected by presentation rate and semantic relatedness of the competing responses, all hallmarks of a refractory semantic access dysphasia. In a series of experiments we explored the semantic relatedness effects within their proper name vocabulary, including brand names and person names. First we demonstrated the interaction between very fine grain organisation and personal experience, with one patient with a special interest in the cinema demonstrating higher error rates when identifying the names of actors working in a similar film genre (e.g. action movies: Arnold Schwarzenegger, Bruce Willis, Sylvester Stallone, Mel Gibson than those working in different genres (e.g. Arnold Schwarzenegger, Gregory Peck, Robin Williams, Gene Kelly. Second we compared directly two potential principles of semantic organisation – taxonomic and thematic. Furthermore we considered these principles of organisation in the context of the individuals' personal knowledge base. We selected topics matching the interests and experience of each patient, namely cinema and literature (NBC and naval history (FBI. The stimulus items were arranged in taxonomic arrays (e.g. Jane Austen, Emily Bronte, Agatha Christie, thematic arrays (e.g. Jane Austen, Pride and Prejudice, Mr Darcy, and unrelated arrays (e.g. Jane Austen, Wuthering Heights, Hercule Poirot. We documented that different patterns of taxonomic and thematic organisation were constrained by whether the individual has limited knowledge, moderate knowledge or detailed knowledge of a particular vocabulary. It is suggested that moderate proper name knowledge is primarily organised by taxonomy whereas extensive experience results in a more detailed knowledge base in which theme is a powerful organising principle.

Taxonomic and thematic organisation of proper name conceptual knowledge.

Science.gov (United States)

Crutch, Sebastian J; Warrington, Elizabeth K

2011-01-01

We report the investigation of the organisation of proper names in two aphasic patients (NBC and FBI). The performance of both patients on spoken word to written word matching tasks was inconsistent, affected by presentation rate and semantic relatedness of the competing responses, all hallmarks of a refractory semantic access dysphasia. In a series of experiments we explored the semantic relatedness effects within their proper name vocabulary, including brand names and person names. First we demonstrated the interaction between very fine grain organisation and personal experience, with one patient with a special interest in the cinema demonstrating higher error rates when identifying the names of actors working in a similar film genre (e.g., action movies: Arnold Schwarzenegger, Bruce Willis, Sylvester Stallone, Mel Gibson) than those working in different genres (e.g., Arnold Schwarzenegger, Gregory Peck, Robin Williams, Gene Kelly). Second we compared directly two potential principles of semantic organisation - taxonomic and thematic. Furthermore we considered these principles of organisation in the context of the individuals' personal knowledge base. We selected topics matching the interests and experience of each patient, namely cinema and literature (NBC) and naval history (FBI). The stimulus items were arranged in taxonomic arrays (e.g., Jane Austen, Emily Bronte, Agatha Christie), thematic arrays (e.g., Jane Austen, Pride and Prejudice, Mr Darcy), and unrelated arrays (e.g., Jane Austen, Wuthering Heights, Hercule Poirot). We documented that different patterns of taxonomic and thematic organisation were constrained by whether the individual has limited knowledge, moderate knowledge or detailed knowledge of a particular vocabulary. It is suggested that moderate proper name knowledge is primarily organised by taxonomy whereas extensive experience results in a more detailed knowledge base in which theme is a powerful organising principle.

Oceanographic profile temperature, salinity, oxygen, and nutrients measurements collected using bottle from the LCM Red in the Alaskan Coastal waters, from the Gerda in the Atlantic Ocean, and from DeSteiguer in the Pacific Ocean (NODC Accession 0002231)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Temperature, salinity, oxygen and other profile data received at NODC on 06/10/04 by Olga Baranova, digitized from "William J. Teague, Zachariah R. Hallock, Jan M....

Dissolved inorganic carbon, pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from POLARSTERN in the South Atlantic Ocean from 1992-09-29 to 1992-11-30 (NODC Accession 0117714)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0117714 includes biological, chemical, discrete sample, physical and profile data collected from POLARSTERN in the South Atlantic Ocean from...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the METEOR in the North Atlantic Ocean and South Atlantic Ocean from 1981-03-28 to 1981-04-23 (NODC Accession 0116646)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116646 includes chemical, discrete sample, physical and profile data collected from METEOR in the North Atlantic Ocean and South Atlantic Ocean from...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the SONNE in the North Atlantic Ocean and South Atlantic Ocean from 2000-11-28 to 2000-12-27 (NODC Accession 0115599)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115599 includes chemical, discrete sample, physical and profile data collected from SONNE in the North Atlantic Ocean and South Atlantic Ocean from...

Dissolved inorganic carbon, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the DISCOVERY in the North Atlantic Ocean from 1989-06-12 to 1989-07-09 (NODC Accession 0113531)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113531 includes chemical, discrete sample, physical and profile data collected from DISCOVERY in the North Atlantic Ocean from 1989-06-12 to...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the MARION DUFRESNE in the Indian Ocean from 2000-07-19 to 2000-08-16 (NODC Accession 0113576)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113576 includes biological, chemical, discrete sample, physical and profile data collected from MARION DUFRESNE in the Indian Ocean from 2000-07-19...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the MARION DUFRESNE in the Indian Ocean from 1998-08-18 to 1998-09-09 (NODC Accession 0113573)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113573 includes biological, chemical, discrete sample, physical and profile data collected from MARION DUFRESNE in the Indian Ocean from 1998-08-18...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the MARION DUFRESNE in the Indian Ocean from 1998-12-05 to 1998-12-27 (NODC Accession 0113574)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113574 includes biological, chemical, discrete sample, physical and profile data collected from MARION DUFRESNE in the Indian Ocean from 1998-12-05...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the MARION DUFRESNE in the Indian Ocean from 2000-01-17 to 2000-01-27 (NODC Accession 0113575)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113575 includes biological, chemical, discrete sample, physical and profile data collected from MARION DUFRESNE in the Indian Ocean from 2000-01-17...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the MARION DUFRESNE in the Indian Ocean from 1998-01-21 to 1998-02-19 (NODC Accession 0113570)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113570 includes biological, chemical, discrete sample, physical and profile data collected from MARION DUFRESNE in the Indian Ocean from 1998-01-21...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the MARION DUFRESNE in the Indian Ocean from 2003-01-23 to 2003-02-17 (NODC Accession 0113571)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113571 includes biological, chemical, discrete sample, physical and profile data collected from MARION DUFRESNE in the Indian Ocean from 2003-01-23...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the METEOR in the North Atlantic Ocean and South Atlantic Ocean from 1990-10-04 to 1990-10-27 (NODC Accession 0116643)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116643 includes chemical, discrete sample, physical and profile data collected from METEOR in the North Atlantic Ocean and South Atlantic Ocean from...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the PELAGIA in the Bay of Biscay and North Atlantic Ocean from 1996-06-18 to 1996-06-18 (NODC Accession 0115585)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115585 includes chemical, discrete sample, physical and profile data collected from PELAGIA in the Bay of Biscay and North Atlantic Ocean from...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the JOHAN HJORT in the North Greenland Sea and Norwegian Sea from 1993-11-06 to 1993-12-02 (NODC Accession 0115679)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115679 includes chemical, discrete sample, physical and profile data collected from JOHAN HJORT in the North Greenland Sea and Norwegian Sea from...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the JOHAN HJORT in the North Greenland Sea and Norwegian Sea from 1992-11-05 to 1992-12-01 (NODC Accession 0115403)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115403 includes chemical, discrete sample, physical and profile data collected from JOHAN HJORT in the North Greenland Sea and Norwegian Sea from...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the JOHAN HJORT in the North Greenland Sea and Norwegian Sea from 1991-11-05 to 1991-11-27 (NODC Accession 0115685)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115685 includes chemical, discrete sample, physical and profile data collected from JOHAN HJORT in the North Greenland Sea and Norwegian Sea from...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the L'ATALANTE in the Caribbean Sea and North Atlantic Ocean from 2003-04-12 to 2003-04-25 (NODC Accession 0117494)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0117494 includes chemical, discrete sample, physical and profile data collected from L'ATALANTE in the Caribbean Sea and North Atlantic Ocean from...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the JOHAN HJORT in the North Greenland Sea and Norwegian Sea from 1996-10-30 to 1996-11-10 (NODC Accession 0115680)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115680 includes chemical, discrete sample, physical and profile data collected from JOHAN HJORT in the North Greenland Sea and Norwegian Sea from...

pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using Alkalinity titrator, CTD and other instruments from the BELGICA in the North Atlantic Ocean from 2006-05-31 to 2006-06-09 (NODC Accession 0112838)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0112838 includes chemical, discrete sample, physical and profile data collected from BELGICA in the North Atlantic Ocean from 2006-05-31 to...

pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using Alkalinity titrator, CTD and other instruments from the BELGICA in the North Atlantic Ocean from 2007-05-10 to 2007-05-24 (NODC Accession 0112839)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0112839 includes chemical, discrete sample, physical and profile data collected from BELGICA in the North Atlantic Ocean from 2007-05-10 to...

pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using Alkalinity titrator, CTD and other instruments from the BELGICA in the North Atlantic Ocean from 2008-05-07 to 2008-05-23 (NODC Accession 0112840)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0112840 includes chemical, discrete sample, physical and profile data collected from BELGICA in the North Atlantic Ocean from 2008-05-07 to...

Dissolved inorganic carbon, total alkalinity, temperature, salinity and other variables collected via time series monitoring from BOSEI MARU NO. 2, HAKUREI MARU and others in the North Pacific Ocean from 1992-06-23 to 2008-10-31 (NODC Accession 0100219)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0100219 includes chemical, discrete bottle, physical and time series data collected from BOSEI MARU NO. 2, HAKUREI MARU, Hakuho Maru, Hokusei Maru,...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the ARANDA in the North Atlantic Ocean and North Greenland Sea from 1997-08-05 to 1997-09-25 (NODC Accession 0115602)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115602 includes chemical, discrete sample, physical and profile data collected from ARANDA in the North Atlantic Ocean and North Greenland Sea from...

pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the PROFESSOR SIEDLECKI in the North Atlantic Ocean from 1988-11-17 to 1988-11-26 (NODC Accession 0113592)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113592 includes chemical, discrete sample, physical and profile data collected from PROFESSOR SIEDLECKI in the North Atlantic Ocean from 1988-11-17...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the MARION DUFRESNE in the Indian Ocean from 2002-01-04 to 2002-02-01 (NODC Accession 0113578)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113578 includes biological, chemical, discrete sample, physical and profile data collected from MARION DUFRESNE in the Indian Ocean from 2002-01-04...

pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the THALASSA in the North Atlantic Ocean from 2001-08-23 to 2001-09-13 (NODC Accession 0113600)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113600 includes chemical, discrete sample, physical and profile data collected from THALASSA in the North Atlantic Ocean from 2001-08-23 to...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the FRANKLIN in the Coral Sea and Tasman Sea from 1993-06-24 to 1993-07-17 (NODC Accession 0116409)

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National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116409 includes chemical, discrete sample, physical and profile data collected from FRANKLIN in the Coral Sea and Tasman Sea from 1993-06-24 to...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the NATHANIEL B. PALMER in the South Pacific Ocean from 1996-08-30 to 1996-09-24 (NODC Accession 0116063)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116063 includes chemical, discrete sample, physical and profile data collected from NATHANIEL B. PALMER in the South Pacific Ocean from 1996-08-30 to...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the NATHANIEL B. PALMER in the South Pacific Ocean from 1994-02-14 to 1994-04-05 (NODC Accession 0116067)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116067 includes chemical, discrete sample, physical and profile data collected from NATHANIEL B. PALMER in the South Pacific Ocean from 1994-02-14 to...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the NATHANIEL B. PALMER in the South Pacific Ocean from 2000-02-15 to 2000-03-24 (NODC Accession 0116066)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116066 includes chemical, discrete sample, physical and profile data collected from NATHANIEL B. PALMER in the South Pacific Ocean from 2000-02-15 to...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the TYRO in the Arctic Ocean and Beaufort Sea from 1996-09-13 to 1996-10-28 (NODC Accession 0116717)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116717 includes chemical, discrete sample, physical and profile data collected from TYRO in the Arctic Ocean and Beaufort Sea from 1996-09-13 to...

Temperature, salinity and other variables collected from underway - surface observations using PAR Sensor and other instruments from the AURORA AUSTRALIS, NOAA Ship DISCOVERER and others in the Bering Sea, Caribbean Sea and others from 1994-01-28 to 2004-07-02 (NODC Accession 0109923)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0109923 includes biological, chemical, meteorological, physical and underway - surface data collected from AURORA AUSTRALIS, NOAA Ship DISCOVERER,...

Taxonomic novelties within the genus Columnea (Gesneriaceae)

International Nuclear Information System (INIS)

Amaya Marquez, Marisol

2010-01-01

A new species of Columnea and a new variety of Columnea lanata (Seem.) Kuntze belonging to section Collandra (Gesneriaceae) are described and illustrated. The new species was found in the Pacific slopes of the Cordillera Occidental in the Department of Choco in Colombia; the new variety comes from the Pacific slopes of the Cordillera Occidental, in the region of Murri located at the North West of the Department of Antioquia . A taxonomic key to distinguish the new species from the morphologically closer species is presented.

Combining Taxonomic and Functional Approaches to Unravel the Spatial Distribution of an Amazonian Butterfly Community.

Science.gov (United States)

Graça, Márlon B; Morais, José W; Franklin, Elizabeth; Pequeno, Pedro A C L; Souza, Jorge L P; Bueno, Anderson Saldanha

2016-04-01

This study investigated the spatial distribution of an Amazonian fruit-feeding butterfly assemblage by linking species taxonomic and functional approaches. We hypothesized that: 1) vegetation richness (i.e., resources) and abundance of insectivorous birds (i.e., predators) should drive changes in butterfly taxonomic composition, 2) larval diet breadth should decrease with increase of plant species richness, 3) small-sized adults should be favored by higher abundance of birds, and 4) communities with eyespot markings should be able to exploit areas with higher predation pressure. Fruit-feeding butterflies were sampled with bait traps and insect nets across 25 km(2) of an Amazonian ombrophilous forest in Brazil. We measured larval diet breadth, adult body size, and wing marking of all butterflies. Our results showed that plant species richness explained most of the variation in butterfly taxonomic turnover. Also, community average diet breadth decreased with increase of plant species richness, which supports our expectations. In contrast, community average body size increased with the abundance of birds, refuting our hypothesis. We detected no influence of environmental gradients on the occurrence of species with eyespot markings. The association between butterfly taxonomic and functional composition points to a mediator role of the functional traits in the environmental filtering of butterflies. The incorporation of the functional approach into the analyses allowed for the detection of relationships that were not observed using a strictly taxonomic perspective and provided an extra insight into comprehending the potential adaptive strategies of butterflies. © The Authors 2015. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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...

pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the AKADEMIK SERGEY VAVILOV in the South Atlantic Ocean from 2004-11-04 to 2004-12-08 (NODC Accession 0113753)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113753 includes chemical, discrete sample, physical and profile data collected from AKADEMIK SERGEY VAVILOV in the South Atlantic Ocean from...

pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the DARVIN in the North Atlantic Ocean from 1991-05-01 to 1991-05-15 (NODC Accession 0113524)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113524 includes biological, chemical, discrete sample, physical and profile data collected from DARVIN in the North Atlantic Ocean from 1991-05-01 to...

pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the LE NOROIT in the North Atlantic Ocean from 1989-05-09 to 1989-05-26 (NODC Accession 0113759)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113759 includes chemical, discrete sample, physical and profile data collected from LE NOROIT in the North Atlantic Ocean from 1989-05-09 to...

pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the L'ATALANTE in the North Atlantic Ocean from 2001-02-03 to 2001-02-24 (NODC Accession 0113520)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113520 includes chemical, discrete sample, physical and profile data collected from L'ATALANTE in the North Atlantic Ocean from 2001-02-03 to...

pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the L'ATALANTE in the North Atlantic Ocean from 2001-03-22 to 2001-04-13 (NODC Accession 0113521)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113521 includes chemical, discrete sample, physical and profile data collected from L'ATALANTE in the North Atlantic Ocean from 2001-03-22 to...

pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the MIKHAIL SOMOV in the South Atlantic Ocean from 1981-10-09 to 1981-11-25 (NODC Accession 0117504)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0117504 includes chemical, discrete sample, physical and profile data collected from MIKHAIL SOMOV in the South Atlantic Ocean from 1981-10-09 to...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the PIERRE RADISSON in the Baffin Bay from 1998-04-04 to 1998-07-21 (NODC Accession 0113915)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113915 includes biological, chemical, discrete sample, physical and profile data collected from PIERRE RADISSON in the Baffin Bay from 1998-04-04 to...

Does taxonomic diversity in indicator groups influence their effectiveness in identifying priority areas for species conservation?

DEFF Research Database (Denmark)

Bladt, Jesper Stentoft; Larsen, Frank Wugt; Rahbek, Carsten

2008-01-01

The identification of priority areas for biodiversity conservation is a cornerstone of systematic conservation planning. However, biodiversity, or even the distribution of all species, cannot be directly quantified, due to the inherent complexity of natural systems. Species indicator groups may...... serve as important tools for the identification of priority areas for conservation. Yet, it is unclear which factors make certain indicator groups perform better than others. In this study, using data on the Danish distribution of 847 species of plants, vertebrates and insects, we assessed whether...... the taxonomic diversity in species indicator groups influence their effectiveness in the identification of priority areas for species conservation. We tested whether indicator groups comprising a higher taxonomic diversity (i.e. indicator groups consisting of species from many different taxonomic groups...

The nutty world of hazel names - a crtitical taxonomic checklist of the genus Corylus (Betulaceae)

OpenAIRE

Holstein, Norbert; Tamer, Sarah el; Weigend, Maximilian

2018-01-01

Hazelnuts (Corylus L.) are the source of one of the globally most important nut crops. Despite their economic and cultural importance, taxonomic knowledge is poor, even the number of species is equivocal. Weak morphological differentiation, the inconsistent taxonomic treatment of horticultural selections and cultivars, and uncritical regional treatments generated a multitude of names. The situation is further complicated by an ancient history of use (at least 10 400 years), trade (at least 40...

Taxonomic Studies on the Genus Arnebia Forssk. (Boraginaceae in India

Directory of Open Access Journals (Sweden)

Kumar Ambrish

2014-12-01

Full Text Available The genus Arnebia Forssk. in India is taxonomically studied based on field surveys, collection of live plants, consultation of herbarium and literature. The genus is represented in India by 10 taxa including 8 species and 2 varieties viz., Arnebia bhattacharyyae K. Ambrish & S.K. Srivast., A. benthamii (Wall. ex G. Don I.M. Johnst., A. euchroma ( Royle I.M. Johnst., A. guttata Bunge, A. hispidissima (Sieber ex Lehm. A.DC., A. linearifolia A.DC., A. griffithii Boiss., A. nandadeviensis K. Chandra Sek. & R.S. Rawal , A. euchroma var. grandis (Bornm. Kazmi and A. guttata var. thomsonii (C.B. Clarke Kazmi, distributed in Jammu & Kashmir, Himachal Pradesh and Uttarakhand in North-West Himalaya to Uttar Pradesh, Punjab and Rajasthan in India. Dichotomous keys to all the species in India along with taxonomic description, distribution, illustrations and images of most of the species including type and their economic importance are provided.

Photometric survey and taxonomic identifications of 92 near-Earth asteroids

Science.gov (United States)

Lin, Chien-Hsien; Ip, Wing-Huen; Lin, Zhong-Yi; Cheng, Yu-Chi; Lin, Hsing-Wen; Chang, Chan-Kao

2018-03-01

A photometric survey of near-Earth asteroids (NEAs) was conducted from 2012 through 2014 at Lulin Observatory, Taiwan. The measurements of the color indices, B-V, V-R, and V-I allow the classification of 92 NEAs into seven taxonomic types. Of these samples, 39 of them are new classifications. The fractional abundances of these taxonomic complexes are: A ∼3%, C∼6.5%, D∼8%, Q∼26%, S∼37%, V∼6.5%, and X∼13%. This result is similar to that of Thomas et al. (2011) even though the populations of the D- and X-complex with low albedos are under-represented. The ratio of the C-cluster to the total population of S + C clusters are 0.22 ± 0.06 for H ≤ 17.0 and 0.31 ± 0.06 for H > 17.0, indicating a slightly higher fraction of dark-object population with sizes smaller than 1 km.

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the METEOR in the Caribbean Sea, North Atlantic Ocean and South Atlantic Ocean from 2002-06-07 to 2002-07-04 (NODC Accession 0115586)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115586 includes chemical, discrete sample, physical and profile data collected from METEOR in the Caribbean Sea, North Atlantic Ocean and South...

Dissolved inorganic carbon, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the HUDSON in the Labrador Sea and North Atlantic Ocean from 1992-05-27 to 1992-06-15 (NODC Accession 0113550)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113550 includes chemical, discrete sample, physical and profile data collected from HUDSON in the Labrador Sea and North Atlantic Ocean from...

Alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the BELGICA, CHARLES DARWIN and METEOR in the North Atlantic Ocean from 1997-06-01 to 1999-09-01 (NODC Accession 0115763)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115763 includes chemical, discrete sample, physical and profile data collected from BELGICA, CHARLES DARWIN and METEOR in the North Atlantic Ocean...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the USCGC POLAR SEA in the North Greenland Sea from 1992-07-15 to 1992-08-14 (NODC Accession 0115687)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115687 includes biological, chemical, discrete sample, physical and profile data collected from USCGC POLAR SEA in the North Greenland Sea from...

Dissolved inorganic carbon, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the POLARSTERN in the Arctic Ocean and North Greenland Sea from 1987-07-04 to 1987-09-02 (NODC Accession 0113916)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113916 includes chemical, discrete sample, physical and profile data collected from POLARSTERN in the Arctic Ocean and North Greenland Sea from...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the SONNE in the Caribbean Sea, North Atlantic Ocean and South Atlantic Ocean from 2003-05-25 to 2003-06-13 (NODC Accession 0116705)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116705 includes chemical, discrete sample, physical and profile data collected from SONNE in the Caribbean Sea, North Atlantic Ocean and South...

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.

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the BOSEI MARU NO. 2 in the North Pacific Ocean from 1994-01-15 to 1994-02-04 (NODC Accession 0115320)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115320 includes chemical, discrete sample, physical and profile data collected from BOSEI MARU NO. 2 in the North Pacific Ocean from 1994-01-15 to...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the METEOR in the North Atlantic Ocean from 1997-05-15 to 1997-06-06 (NODC Accession 0113912)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113912 includes chemical, discrete sample, physical and profile data collected from METEOR in the North Atlantic Ocean from 1997-05-15 to 1997-06-06...

Dissolved inorganic carbon, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the OCEANUS in the North Atlantic Ocean from 1995-05-29 to 1995-06-03 (NODC Accession 0113588)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113588 includes chemical, discrete sample, physical and profile data collected from OCEANUS in the North Atlantic Ocean from 1995-05-29 to 1995-06-03...

Dissolved inorganic carbon, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the METEOR in the North Atlantic Ocean from 1997-08-15 to 1997-09-09 (NODC Accession 0113914)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113914 includes chemical, discrete sample, physical and profile data collected from METEOR in the North Atlantic Ocean from 1997-08-15 to 1997-09-09...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the METEOR in the North Atlantic Ocean from 2004-03-11 to 2004-04-13 (NODC Accession 0113892)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113892 includes chemical, discrete sample, physical and profile data collected from METEOR in the North Atlantic Ocean from 2004-03-11 to 2004-04-13...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the MARION DUFRESNE in the Indian Ocean from 1993-01-23 to 1993-03-09 (NODC Accession 0115015)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115015 includes chemical, discrete sample, physical and profile data collected from MARION DUFRESNE in the Indian Ocean from 1993-01-23 to 1993-03-09...

Dissolved inorganic carbon, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the TYRO in the North Atlantic Ocean from 1990-07-01 to 1990-07-12 (NODC Accession 0113602)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113602 includes chemical, discrete sample, physical and profile data collected from TYRO in the North Atlantic Ocean from 1990-07-01 to 1990-07-12...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the KNORR in the North Atlantic Ocean from 1997-10-05 to 1997-11-19 (NODC Accession 0113567)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113567 includes chemical, discrete sample, physical and profile data collected from KNORR in the North Atlantic Ocean from 1997-10-05 to 1997-11-19...

Dissolved inorganic carbon, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the HUDSON in the North Atlantic Ocean from 1993-04-05 to 1993-05-14 (NODC Accession 0113551)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113551 includes chemical, discrete sample, physical and profile data collected from HUDSON in the North Atlantic Ocean from 1993-04-05 to 1993-05-14...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the GAUSS in the North Atlantic Ocean from 2000-05-06 to 2000-06-06 (NODC Accession 0113946)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113946 includes chemical, discrete sample, physical and profile data collected from GAUSS in the North Atlantic Ocean from 2000-05-06 to 2000-06-06...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the METEOR in the North Atlantic Ocean from 1996-06-13 to 1996-07-14 (NODC Accession 0113911)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113911 includes chemical, discrete sample, physical and profile data collected from METEOR in the North Atlantic Ocean from 1996-06-13 to 1996-07-14...

pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using Alkalinity titrator, CTD and other instruments from the BELGICA in the North Sea from 2006-04-25 to 2006-05-11 (NODC Accession 0112762)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0112762 includes chemical, discrete sample, physical and profile data collected from BELGICA in the North Sea from 2006-04-25 to 2006-05-11. These...

Dissolved inorganic carbon, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the KNORR in the South Pacific Ocean from 1992-09-01 to 1992-09-15 (NODC Accession 0115700)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115700 includes chemical, discrete sample, physical and profile data collected from KNORR in the South Pacific Ocean from 1992-09-01 to 1992-09-15...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using Alkalinity titrator, CTD and other instruments from the FRANKLIN in the Indian Ocean from 2000-09-26 to 2000-11-12 (NODC Accession 0108074)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0108074 includes chemical, discrete sample, physical and profile data collected from FRANKLIN in the Indian Ocean from 2000-09-26 to 2000-11-12 and...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the METEOR in the North Atlantic Ocean from 1992-05-09 to 1992-06-02 (NODC Accession 0115684)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115684 includes chemical, discrete sample, physical and profile data collected from METEOR in the North Atlantic Ocean from 1992-05-09 to 1992-06-02...

Dissolved inorganic carbon, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the GAUSS in the North Atlantic Ocean from 1996-06-13 to 1996-06-27 (NODC Accession 0113540)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113540 includes chemical, discrete sample, physical and profile data collected from GAUSS in the North Atlantic Ocean from 1996-06-13 to 1996-06-27...

Dissolved inorganic carbon, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the HUDSON in the North Atlantic Ocean from 1993-11-05 to 1993-12-16 (NODC Accession 0113553)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113553 includes chemical, discrete sample, physical and profile data collected from HUDSON in the North Atlantic Ocean from 1993-11-05 to 1993-12-16...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the METEOR in the North Atlantic Ocean from 1992-03-16 to 1992-04-09 (NODC Accession 0113579)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113579 includes chemical, discrete sample, physical and profile data collected from METEOR in the North Atlantic Ocean from 1992-03-16 to 1992-04-09...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the DARVIN in the North Atlantic Ocean from 2005-05-01 to 2005-06-15 (NODC Accession 0113527)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113527 includes chemical, discrete sample, physical and profile data collected from DARVIN in the North Atlantic Ocean from 2005-05-01 to 2005-06-15...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the DISCOVERY in the Indian Ocean from 2004-11-03 to 2004-12-10 (NODC Accession 0113537)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113537 includes chemical, discrete sample, physical and profile data collected from DISCOVERY in the Indian Ocean from 2004-11-03 to 2004-12-10 and...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the KNORR in the North Atlantic Ocean from 2001-06-27 to 2001-08-15 (NODC Accession 0113568)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113568 includes chemical, discrete sample, physical and profile data collected from KNORR in the North Atlantic Ocean from 2001-06-27 to 2001-08-15...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the DISCOVERY in the Indian Ocean from 2004-12-13 to 2005-01-21 (NODC Accession 0113538)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113538 includes chemical, discrete sample, physical and profile data collected from DISCOVERY in the Indian Ocean from 2004-12-13 to 2005-01-21 and...

pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the METEOR in the North Atlantic Ocean from 1996-09-10 to 1996-10-03 (NODC Accession 0113582)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113582 includes chemical, discrete sample, physical and profile data collected from METEOR in the North Atlantic Ocean from 1996-09-10 to 1996-10-03...

Dissolved inorganic carbon, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the PELAGIA in the North Atlantic Ocean from 2000-09-26 to 2000-10-16 (NODC Accession 0108066)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0108066 includes chemical, discrete sample, physical and profile data collected from PELAGIA in the North Atlantic Ocean from 2000-09-26 to 2000-10-16...

Dissolved inorganic carbon, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, Coulometer for DIC measurement and other instruments from the POLARSTERN in the South Atlantic Ocean from 1992-12-03 to 1993-01-22 (NODC Accession 0116565)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116565 includes chemical, discrete sample, physical and profile data collected from POLARSTERN in the South Atlantic Ocean from 1992-12-03 to...

Dissolved inorganic carbon, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, Coulometer for DIC measurement and other instruments from the POLARSTERN in the South Atlantic Ocean from 1992-05-21 to 1992-08-05 (NODC Accession 0116641)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0116641 includes chemical, discrete sample, physical and profile data collected from POLARSTERN in the South Atlantic Ocean from 1992-05-21 to...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using Alkalinity titrator, CTD and other instruments from the AURORA AUSTRALIS in the Indian Ocean from 2008-03-22 to 2008-04-17 (NODC Accession 0109900)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0109900 includes biological, chemical, discrete sample, physical and profile data collected from AURORA AUSTRALIS in the Indian Ocean from 2008-03-22...

pH, alkalinity, temperature, salinity and other variables collected from profile observations using Alkalinity titrator, CTD and other instruments from the HESPERIDES in the North Atlantic Ocean and Strait of Gibraltar from 2008-10-06 to 2008-10-12 (NODC Accession 0112927)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0112927 includes chemical, discrete sample, physical and time series profile data collected from HESPERIDES in the North Atlantic Ocean and Strait of...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the JOHAN HJORT in the Barents Sea, North Greenland Sea and Norwegian Sea from 1999-06-15 to 1999-07-07 (NODC Accession 0115678)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115678 includes chemical, discrete sample, physical and profile data collected from JOHAN HJORT in the Barents Sea, North Greenland Sea and Norwegian...

Dissolved inorganic carbon, pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the DISCOVERY in the North Atlantic Ocean from 1997-08-07 to 1997-09-17 (NODC Accession 0113535)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113535 includes biological, chemical, discrete sample, physical and profile data collected from DISCOVERY in the North Atlantic Ocean from 1997-08-07...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using Alkalinity titrator, CTD and other instruments from the AURORA AUSTRALIS in the Indian Ocean from 2001-10-29 to 2001-12-13 (NODC Accession 0108158)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0108158 includes chemical, discrete sample, physical and profile data collected from AURORA AUSTRALIS in the Indian Ocean from 2001-10-29 to...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the L'ATALANTE in the North Atlantic Ocean and South Atlantic Ocean from 2008-02-23 to 2008-03-15 (NODC Accession 0117496)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0117496 includes chemical, discrete sample, physical and profile data collected from L'ATALANTE in the North Atlantic Ocean and South Atlantic Ocean...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the Hakuho Maru in the North Pacific Ocean and South Pacific Ocean from 1991-08-13 to 1991-09-01 (NODC Accession 0115591)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115591 includes chemical, discrete sample, physical and profile data collected from Hakuho Maru in the North Pacific Ocean and South Pacific Ocean...

Dissolved inorganic carbon, pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the HESPERIDES in the North Atlantic Ocean from 1998-07-30 to 1998-08-21 (NODC Accession 0113756)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113756 includes chemical, discrete sample, physical and profile data collected from HESPERIDES in the North Atlantic Ocean from 1998-07-30 to...

Dissolved inorganic carbon, pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the HESPERIDES in the North Atlantic Ocean from 1992-06-14 to 1992-08-15 (NODC Accession 0115227)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115227 includes chemical, discrete sample, physical and profile data collected from HESPERIDES in the North Atlantic Ocean from 1992-06-14 to...

Temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the YMER in the Arctic Ocean, Barents Sea and North Greenland Sea from 1980-08-11 to 1980-09-19 (NODC Accession 0113607)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113607 includes chemical, discrete sample, physical and profile data collected from YMER in the Arctic Ocean, Barents Sea and North Greenland Sea...

Comparative analysis of taxonomic, functional, and metabolic patterns of microbiomes from 14 full-scale biogas reactors by metagenomic sequencing and radioisotopic analysis.

Science.gov (United States)

Luo, Gang; Fotidis, Ioannis A; Angelidaki, Irini

2016-01-01

Biogas production is a very complex process due to the high complexity in diversity and interactions of the microorganisms mediating it, and only limited and diffuse knowledge exists about the variation of taxonomic and functional patterns of microbiomes across different biogas reactors, and their relationships with the metabolic patterns. The present study used metagenomic sequencing and radioisotopic analysis to assess the taxonomic, functional, and metabolic patterns of microbiomes from 14 full-scale biogas reactors operated under various conditions treating either sludge or manure. The results from metagenomic analysis showed that the dominant methanogenic pathway revealed by radioisotopic analysis was not always correlated with the taxonomic and functional compositions. It was found by radioisotopic experiments that the aceticlastic methanogenic pathway was dominant, while metagenomics analysis showed higher relative abundance of hydrogenotrophic methanogens. Principal coordinates analysis showed the sludge-based samples were clearly distinct from the manure-based samples for both taxonomic and functional patterns, and canonical correspondence analysis showed that the both temperature and free ammonia were crucial environmental variables shaping the taxonomic and functional patterns. The study further the overall patterns of functional genes were strongly correlated with overall patterns of taxonomic composition across different biogas reactors. The discrepancy between the metabolic patterns determined by metagenomic analysis and metabolic pathways determined by radioisotopic analysis was found. Besides, a clear correlation between taxonomic and functional patterns was demonstrated for biogas reactors, and also the environmental factors that shaping both taxonomic and functional genes patterns were identified.

Species delimitation in taxonomically difficult fungi: the case of Hymenogaster.

Directory of Open Access Journals (Sweden)

Benjamin Stielow

2011-01-01

Full Text Available False truffles are ecologically important as mycorrhizal partners of trees and evolutionarily highly interesting as the result of a shift from epigeous mushroom-like to underground fruiting bodies. Since its first description by Vittadini in 1831, inappropriate species concepts in the highly diverse false truffle genus Hymenogaster has led to continued confusion, caused by a large variety of prevailing taxonomical opinions.In this study, we reconsidered the species delimitations in Hymenogaster based on a comprehensive collection of Central European taxa comprising more than 140 fruiting bodies from 20 years of field work. The ITS rDNA sequence dataset was subjected to phylogenetic analysis as well as clustering optimization using OPTSIL software.Among distinct species concepts from the literature used to create reference partitions for clustering optimization, the broadest concept resulted in the highest agreement with the ITS data. Our results indicate a highly variable morphology of H. citrinus and H. griseus, most likely linked to environmental influences on the phenology (maturity, habitat, soil type and growing season. In particular, taxa described in the 19(th century frequently appear as conspecific. Conversely, H. niveus appears as species complex comprising seven cryptic species with almost identical macro- and micromorphology. H. intermedius and H. huthii are described as novel species, each of which with a distinct morphology intermediate between two species complexes. A revised taxonomy for one of the most taxonomically difficult genera of Basidiomycetes is proposed, including an updated identification key. The (semi-automated selection among species concepts used here is of importance for the revision of taxonomically problematic organism groups in general.

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the HAKON MOSBY in the Barents Sea from 2000-09-23 to 2000-10-03 (NODC Accession 0113886)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113886 includes chemical, discrete sample, physical and profile data collected from HAKON MOSBY in the Barents Sea from 2000-09-23 to 2000-10-03 and...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the THOMAS WASHINGTON in the South Atlantic Ocean from 1984-10-01 to 1984-10-22 (NODC Accession 0117693)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0117693 includes chemical, discrete sample, physical and profile data collected from THOMAS WASHINGTON in the South Atlantic Ocean from 1984-10-01 to...

Dissolved inorganic carbon, pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the METEOR in the North Atlantic Ocean from 2001-07-17 to 2001-08-07 (NODC Accession 0113587)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113587 includes biological, chemical, discrete sample, physical and profile data collected from METEOR in the North Atlantic Ocean from 2001-07-17 to...

pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the CORNIDE DE SAAVEDRA in the North Atlantic Ocean from 1993-05-10 to 1993-06-01 (NODC Accession 0113529)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113529 includes chemical, discrete sample, physical and profile data collected from CORNIDE DE SAAVEDRA in the North Atlantic Ocean from 1993-05-10...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using Alkalinity titrator, CTD and other instruments from the Celtic Explorer in the North Atlantic Ocean from 2009-02-06 to 2012/01/10 (NODC Accession 0112886)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0112886 includes chemical, discrete sample, physical and profile data collected from Celtic Explorer in the North Atlantic Ocean from 2009-02-06 to...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the HAKON MOSBY in the North Greenland Sea from 1996-11-21 to 1996-11-30 (NODC Accession 0113544)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113544 includes chemical, discrete sample, physical and profile data collected from HAKON MOSBY in the North Greenland Sea from 1996-11-21 to...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the HAKON MOSBY in the North Greenland Sea from 1994-02-03 to 1994-02-23 (NODC Accession 0117371)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0117371 includes chemical, discrete sample, physical and profile data collected from HAKON MOSBY in the North Greenland Sea from 1994-02-03 to...

Dissolved inorganic carbon, pH, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the Hakuho Maru in the Indian Ocean from 1994-12-13 to 1995-01-28 (NODC Accession 0113955)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113955 includes biological, chemical, discrete sample, physical and profile data collected from Hakuho Maru in the Indian Ocean from 1994-12-13 to...

Dissolved inorganic carbon, and total alkalinity and other chemical and physical data obtained during the R/V Meteor cruise along the WOCE Section A02b in the North Atlantic Ocean from 1997-06-11 to 1997-07-03 (NODC Accession 0115159)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115159 includes chemical, discrete sample, physical and profile data collected from METEOR in the Arabian Sea, Arctic Ocean, Gulf of Aden, Gulf of...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the SEWARD JOHNSON in the North Atlantic Ocean from 2001-01-02 to 2001-02-18 (NODC Accession 0113987)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0113987 includes chemical, discrete sample, physical and profile data collected from SEWARD JOHNSON in the North Atlantic Ocean from 2001-01-02 to...

Determination of taxonomic status of chinese species of the genus clematis by using high performance liquid chromatography-mass spectrometry (HPLC-MS) technique

International Nuclear Information System (INIS)

Ishtiaq, M.; Ahmed, H.

2010-01-01

A comparative taxonomic study using chemometric and numerical taxonomic approaches on 15 populations of 12 species of major taxa of the genus Clematis, belonging to sections, Rectae, Clematis, Meclatis, Tubulosae and Viorna were analyzed by HPLC coupled with diode array detector and ESI-MS. The chemo diversity profile of saponins proved to be useful taxonomic markers for the genus and results are presented in pheno grams. The compound 'Huzhangoside D' was the most abundant in analyzed species of the genus. Numerical taxonomic study was also conducted based on phylogenetically informative characters which corroborated with chemical fingerprinting findings. The significance of chemical markers in taxonomic study as well as their correlation between morphology and chemical compound profile is also debated with its significant role in botanic drugs identification. (author)

Global Taxonomic Diversity of Living Reptiles

Science.gov (United States)

Pincheira-Donoso, Daniel; Bauer, Aaron M.; Meiri, Shai; Uetz, Peter

2013-01-01

Reptiles are one of the most ecologically and evolutionarily remarkable groups of living organisms, having successfully colonized most of the planet, including the oceans and some of the harshest and more environmentally unstable ecosystems on earth. Here, based on a complete dataset of all the world’s diversity of living reptiles, we analyse lineage taxonomic richness both within and among clades, at different levels of the phylogenetic hierarchy. We also analyse the historical tendencies in the descriptions of new reptile species from Linnaeus to March 2012. Although (non-avian) reptiles are the second most species-rich group of amniotes after birds, most of their diversity (96.3%) is concentrated in squamates (59% lizards, 35% snakes, and 2% amphisbaenians). In strong contrast, turtles (3.4%), crocodilians (0.3%), and tuataras (0.01%) are far less diverse. In terms of species discoveries, most turtles and crocodilians were described early, while descriptions of lizards, snakes and amphisbaenians are multimodal with respect to time. Lizard descriptions, in particular, have reached unprecedented levels during the last decade. Finally, despite such remarkably asymmetric distributions of reptile taxonomic diversity among groups, we found that the distributions of lineage richness are consistently right-skewed, with most clades (monophyletic families and genera) containing few lineages (monophyletic genera and species, respectively), while only a few have radiated greatly (notably the families Colubridae and Scincidae, and the lizard genera Anolis and Liolaemus). Therefore, such consistency in the frequency distribution of richness among clades and among phylogenetic levels suggests that the nature of reptile biodiversity is fundamentally fractal (i.e., it is scale invariant). We then compared current reptile diversity with the global reptile diversity and taxonomy known in 1980. Despite substantial differences in the taxonomies (relative to 2012), the patterns of

Global taxonomic diversity of living reptiles.

Science.gov (United States)

Pincheira-Donoso, Daniel; Bauer, Aaron M; Meiri, Shai; Uetz, Peter

2013-01-01

Reptiles are one of the most ecologically and evolutionarily remarkable groups of living organisms, having successfully colonized most of the planet, including the oceans and some of the harshest and more environmentally unstable ecosystems on earth. Here, based on a complete dataset of all the world's diversity of living reptiles, we analyse lineage taxonomic richness both within and among clades, at different levels of the phylogenetic hierarchy. We also analyse the historical tendencies in the descriptions of new reptile species from Linnaeus to March 2012. Although (non-avian) reptiles are the second most species-rich group of amniotes after birds, most of their diversity (96.3%) is concentrated in squamates (59% lizards, 35% snakes, and 2% amphisbaenians). In strong contrast, turtles (3.4%), crocodilians (0.3%), and tuataras (0.01%) are far less diverse. In terms of species discoveries, most turtles and crocodilians were described early, while descriptions of lizards, snakes and amphisbaenians are multimodal with respect to time. Lizard descriptions, in particular, have reached unprecedented levels during the last decade. Finally, despite such remarkably asymmetric distributions of reptile taxonomic diversity among groups, we found that the distributions of lineage richness are consistently right-skewed, with most clades (monophyletic families and genera) containing few lineages (monophyletic genera and species, respectively), while only a few have radiated greatly (notably the families Colubridae and Scincidae, and the lizard genera Anolis and Liolaemus). Therefore, such consistency in the frequency distribution of richness among clades and among phylogenetic levels suggests that the nature of reptile biodiversity is fundamentally fractal (i.e., it is scale invariant). We then compared current reptile diversity with the global reptile diversity and taxonomy known in 1980. Despite substantial differences in the taxonomies (relative to 2012), the patterns of

Global taxonomic diversity of living reptiles.

Directory of Open Access Journals (Sweden)

Daniel Pincheira-Donoso

Full Text Available Reptiles are one of the most ecologically and evolutionarily remarkable groups of living organisms, having successfully colonized most of the planet, including the oceans and some of the harshest and more environmentally unstable ecosystems on earth. Here, based on a complete dataset of all the world's diversity of living reptiles, we analyse lineage taxonomic richness both within and among clades, at different levels of the phylogenetic hierarchy. We also analyse the historical tendencies in the descriptions of new reptile species from Linnaeus to March 2012. Although (non-avian reptiles are the second most species-rich group of amniotes after birds, most of their diversity (96.3% is concentrated in squamates (59% lizards, 35% snakes, and 2% amphisbaenians. In strong contrast, turtles (3.4%, crocodilians (0.3%, and tuataras (0.01% are far less diverse. In terms of species discoveries, most turtles and crocodilians were described early, while descriptions of lizards, snakes and amphisbaenians are multimodal with respect to time. Lizard descriptions, in particular, have reached unprecedented levels during the last decade. Finally, despite such remarkably asymmetric distributions of reptile taxonomic diversity among groups, we found that the distributions of lineage richness are consistently right-skewed, with most clades (monophyletic families and genera containing few lineages (monophyletic genera and species, respectively, while only a few have radiated greatly (notably the families Colubridae and Scincidae, and the lizard genera Anolis and Liolaemus. Therefore, such consistency in the frequency distribution of richness among clades and among phylogenetic levels suggests that the nature of reptile biodiversity is fundamentally fractal (i.e., it is scale invariant. We then compared current reptile diversity with the global reptile diversity and taxonomy known in 1980. Despite substantial differences in the taxonomies (relative to 2012, the

Genetic diversity of symbiotic Paraburkholderia species isolated from nodules of Mimosa pudica (L.) and Phaseolus vulgaris (L.) grown in soils of the Brazilian Atlantic Forest (Mata Atlântica).

Science.gov (United States)

Dall'Agnol, Rebeca Fuzinatto; Bournaud, Caroline; de Faria, Sérgio Miana; Béna, Gilles; Moulin, Lionel; Hungria, Mariangela

2017-04-01

Some species of the genus Paraburkholderia that are able to nodulate and fix nitrogen in symbiosis with legumes are called β-rhizobia and represent a group of ecological and biotechnological importance. We used Mimosa pudica and Phaseolus vulgaris to trap 427 rhizobial isolates from rhizospheric soil of Mimoseae trees in the Brazilian Atlantic Forest. Eighty-four representative strains were selected according to the 16S rRNA haplotypes and taxonomically characterized using a concatenated 16S rRNA-recA phylogeny. Most strains were assembled in the genus Paraburkholderia, including Paraburkholderia sabiae and Pa. nodosa. Mesorhizobium (α-rhizobia) and Cupriavidus (β-rhizobia) were also isolated, but in smaller proportions. Multilocus sequence analysis and BOX-PCR analyses indicated that six clusters of Paraburkholderia represent potential new species. In the phylogenetic analysis of the nodC gene, the majority of the strains were positioned in the same groups as in the 16S rRNA-recA tree, indicative of stability and vertical inheritance, but we also identified horizontal transfer of nodC in Pa. sabiae. All α- and β-rhizobial species were trapped by both legumes, although preferences of the host plants for specific rhizobial species have been observed. © FEMS 2017. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Método para la construcción de una taxonomía: estructura base para riesgos en outsourcing de software

Directory of Open Access Journals (Sweden)

Gloria Piedad Gasca Hurtado

2011-01-01

Full Text Available Este artículo propone una taxonomía de riesgos enfocada en el ámbito de outsourcing de software. El objetivo es definir una estructura de clasificación de riesgos, relacionada con el proceso de outsourcing de software. La motivación está dada por la importancia que tiene la identificación de riesgos, y la ayuda que prestan las taxonomías al respecto, por lo cual se les conoce como una técnica efectiva que permite desarrollar una mejor gestión de riesgos. Este artículo incluye el método para construir la taxonomía (llamado MECT y la estructura de una taxonomía de riesgos para outsourcing de software.

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using CTD, bottle and other instruments from the AURORA AUSTRALIS in the Great Australian Bight and Indian Ocean from 1998-02-28 to 1998-04-01 (NODC Accession 0115154)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0115154 includes chemical, discrete sample, physical and profile data collected from AURORA AUSTRALIS in the Great Australian Bight and Indian Ocean...

Dissolved inorganic carbon, alkalinity, temperature, salinity and other variables collected from discrete sample and profile observations using Alkalinity titrator, CTD and other instruments from the MELVILLE in the North Pacific Ocean and Philippine Sea from 2004-06-15 to 2004-08-27 (NODC Accession 0108080)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0108080 includes chemical, discrete sample, physical and profile data collected from MELVILLE in the North Pacific Ocean and Philippine Sea from...