WorldWideScience

Sample records for census gathering efficiency

  1. Efficient Sensor Data Gathering and Resilient Communication for Rescue Scenarios

    Science.gov (United States)

    Munaretto, Daniele; An, Chunlei; Widmer, Joerg; Timm-Giel, Andreas

    Wireless Sensor Networks (WSNs) have been used mainly to collect environmental data and send it to a base station. Routing protocols are needed to efficiently direct the information flows to the base station. Since sensor nodes have strict energy constraints, data gathering and communication schemes for WSNs need to be designed for an efficient utilization of the available resources. An emergency management scenario is investigated, where a sensor network is deployed as virtual lifeline when entering a building. In addition to navigation support, the virtual lifeline is also used for two purposes. Firstly, to exchange short voice messages between fire fighter and command post. For the communication between command post and fire fighter a fast and reliable routing protocol (EMRO) has been developed based on a broadcasting scheme. Secondly, for data gathering a network coding based algorithm has been designed. The feasibility of simultaneously using this virtual lifeline for data gathering and communications is investigated in this paper by means of simulation and real experiments. The resilience to packet loss and node failure, as well as the transmission delay are investigated by means of short voice messages for the communication part and temperature readings for data gathering.

  2. Designing an Energy Efficient Framework for Data Gathering in Wireless Sensor Network

    CERN Document Server

    Mukherjee, Subhabrata; Bhattacharyya, Abhishek; Naskar, Mrinal K; Mukherjee, Amitava

    2012-01-01

    Wireless sensor network (WSN) is a collection of nodes which can communicate with each other without any prior infrastructure along with the ability to collect data autonomously and effectively after being deployed in an ad-hoc fashion to monitor a given area. One major problem encountered in data gathering wireless systems is to obtain an optimal balance among the number of nodes deployed, energy efficiency and lifetime as energy of nodes cannot be replenished. In this paper we propose first a scheme to estimate the number of nodes to be deployed in a WSN for a predetermined lifetime so that total energy utilization and complete connectivity are ensured under all circumstances. This scheme also guarantees that during each data gathering cycle, every node dissipates the requisite amount of energy, which thus minimizes the number of nodes required to achieve the desired network lifetime. Second, this paper has proposed a framework to conduct data gathering in WSN. Extensive simulations have been carried out in...

  3. An Efficient Data-Gathering Routing Protocol for Underwater Wireless Sensor Networks.

    Science.gov (United States)

    Javaid, Nadeem; Ilyas, Naveed; Ahmad, Ashfaq; Alrajeh, Nabil; Qasim, Umar; Khan, Zahoor Ali; Liaqat, Tayyaba; Khan, Majid Iqbal

    2015-01-01

    Most applications of underwater wireless sensor networks (UWSNs) demand reliable data delivery over a longer period in an efficient and timely manner. However, the harsh and unpredictable underwater environment makes routing more challenging as compared to terrestrial WSNs. Most of the existing schemes deploy mobile sensors or a mobile sink (MS) to maximize data gathering. However, the relatively high deployment cost prevents their usage in most applications. Thus, this paper presents an autonomous underwater vehicle (AUV)-aided efficient data-gathering (AEDG) routing protocol for reliable data delivery in UWSNs. To prolong the network lifetime, AEDG employs an AUV for data collection from gateways and uses a shortest path tree (SPT) algorithm while associating sensor nodes with the gateways. The AEDG protocol also limits the number of associated nodes with the gateway nodes to minimize the network energy consumption and to prevent the gateways from overloading. Moreover, gateways are rotated with the passage of time to balance the energy consumption of the network. To prevent data loss, AEDG allows dynamic data collection at the AUV depending on the limited number of member nodes that are associated with each gateway. We also develop a sub-optimal elliptical trajectory of AUV by using a connected dominating set (CDS) to further facilitate network throughput maximization. The performance of the AEDG is validated via simulations, which demonstrate the effectiveness of AEDG in comparison to two existing UWSN routing protocols in terms of the selected performance metrics. PMID:26593924

  4. An energy efficient scheme for data gathering in wireless sensor networks using particle swarm optimization

    Directory of Open Access Journals (Sweden)

    Ayon Chakraborty

    2009-01-01

    Full Text Available Energy efficiency of sensor nodes is a sizzling issue,given the severe resource constraints of sensor nodes andpervasive nature of sensor networks. The base station beinglocated at variable distances from the nodes in the sensor field,each node actually dissipates a different amount of energy totransmit data to the same. The LEACH [4] and PEGASIS [5]protocols provide elegant solutions to this problem, but may notalways result in optimal performance. In this paper we haveproposed a novel data gathering protocol for enhancing thenetwork lifetime by optimizing energy dissipation in the nodes.To achieve our design objective we have applied particle swarmoptimization (PSO with Simulated Annealing (SA to form asub-optimal data gathering chain and devised a method forselecting an efficient leader for communicating to the basestation. In our scheme each node only communicates with aclose neighbor and takes turns in being the leader depending onits residual energy and location. This helps to rule out theunequal energy dissipation by the individual nodes of thenetwork and results in superior performance as compared toLEACH and PEGASIS. Extensive computer simulations havebeen carried out which shows that significant improvement isover these schemes.

  5. An Energy Efficient Scheme for Data Gathering in Wireless Sensor Networks Using Particle Swarm Optimization

    CERN Document Server

    Chakraborty, Ayon; Mitra, Swarup Kumar; Naskar, M K

    2010-01-01

    Energy Efficiency of sensor nodes is a sizzling issue, given the severe resource constraints of sensor nodes and pervasive nature of sensor networks. The base station being located at variable distances from the nodes in the sensor field, each node actually dissipates a different amount of energy to transmit data to the same. The LEACH [4] and PEGASIS [5] protocols provide elegant solutions to this problem, but may not always result in optimal performance. In this paper we have proposed a novel data gathering protocol for enhancing the network lifetime by optimizing energy dissipation in the nodes. To achieve our design objective we have applied particle swarm optimization (PSO) with Simulated Annealing (SA) to form a sub-optimal data gathering chain and devised a method for selecting an efficient leader for communicating to the base station. In our scheme each node only communicates with a close neighbor and takes turns in being the leader depending on its residual energy and location. This helps to rule out...

  6. An Efficient Data-Gathering Routing Protocol for Underwater Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Nadeem Javaid

    2015-11-01

    Full Text Available Most applications of underwater wireless sensor networks (UWSNs demand reliable data delivery over a longer period in an efficient and timely manner. However, the harsh and unpredictable underwater environment makes routing more challenging as compared to terrestrial WSNs. Most of the existing schemes deploy mobile sensors or a mobile sink (MS to maximize data gathering. However, the relatively high deployment cost prevents their usage in most applications. Thus, this paper presents an autonomous underwater vehicle (AUV-aided efficient data-gathering (AEDG routing protocol for reliable data delivery in UWSNs. To prolong the network lifetime, AEDG employs an AUV for data collection from gateways and uses a shortest path tree (SPT algorithm while associating sensor nodes with the gateways. The AEDG protocol also limits the number of associated nodes with the gateway nodes to minimize the network energy consumption and to prevent the gateways from overloading. Moreover, gateways are rotated with the passage of time to balance the energy consumption of the network. To prevent data loss, AEDG allows dynamic data collection at the AUV depending on the limited number of member nodes that are associated with each gateway. We also develop a sub-optimal elliptical trajectory of AUV by using a connected dominating set (CDS to further facilitate network throughput maximization. The performance of the AEDG is validated via simulations, which demonstrate the effectiveness of AEDG in comparison to two existing UWSN routing protocols in terms of the selected performance metrics.

  7. Efficient Data Gathering in 3D Linear Underwater Wireless Sensor Networks Using Sink Mobility

    Science.gov (United States)

    Akbar, Mariam; Javaid, Nadeem; Khan, Ayesha Hussain; Imran, Muhammad; Shoaib, Muhammad; Vasilakos, Athanasios

    2016-01-01

    Due to the unpleasant and unpredictable underwater environment, designing an energy-efficient routing protocol for underwater wireless sensor networks (UWSNs) demands more accuracy and extra computations. In the proposed scheme, we introduce a mobile sink (MS), i.e., an autonomous underwater vehicle (AUV), and also courier nodes (CNs), to minimize the energy consumption of nodes. MS and CNs stop at specific stops for data gathering; later on, CNs forward the received data to the MS for further transmission. By the mobility of CNs and MS, the overall energy consumption of nodes is minimized. We perform simulations to investigate the performance of the proposed scheme and compare it to preexisting techniques. Simulation results are compared in terms of network lifetime, throughput, path loss, transmission loss and packet drop ratio. The results show that the proposed technique performs better in terms of network lifetime, throughput, path loss and scalability. PMID:27007373

  8. Efficient Data Gathering in 3D Linear Underwater Wireless Sensor Networks Using Sink Mobility.

    Science.gov (United States)

    Akbar, Mariam; Javaid, Nadeem; Khan, Ayesha Hussain; Imran, Muhammad; Shoaib, Muhammad; Vasilakos, Athanasios

    2016-01-01

    Due to the unpleasant and unpredictable underwater environment, designing an energy-efficient routing protocol for underwater wireless sensor networks (UWSNs) demands more accuracy and extra computations. In the proposed scheme, we introduce a mobile sink (MS), i.e., an autonomous underwater vehicle (AUV), and also courier nodes (CNs), to minimize the energy consumption of nodes. MS and CNs stop at specific stops for data gathering; later on, CNs forward the received data to the MS for further transmission. By the mobility of CNs and MS, the overall energy consumption of nodes is minimized. We perform simulations to investigate the performance of the proposed scheme and compare it to preexisting techniques. Simulation results are compared in terms of network lifetime, throughput, path loss, transmission loss and packet drop ratio. The results show that the proposed technique performs better in terms of network lifetime, throughput, path loss and scalability. PMID:27007373

  9. Efficient Data Gathering in 3D Linear Underwater Wireless Sensor Networks Using Sink Mobility

    Directory of Open Access Journals (Sweden)

    Mariam Akbar

    2016-03-01

    Full Text Available Due to the unpleasant and unpredictable underwater environment, designing an energy-efficient routing protocol for underwater wireless sensor networks (UWSNs demands more accuracy and extra computations. In the proposed scheme, we introduce a mobile sink (MS, i.e., an autonomous underwater vehicle (AUV, and also courier nodes (CNs, to minimize the energy consumption of nodes. MS and CNs stop at specific stops for data gathering; later on, CNs forward the received data to the MS for further transmission. By the mobility of CNs and MS, the overall energy consumption of nodes is minimized. We perform simulations to investigate the performance of the proposed scheme and compare it to preexisting techniques. Simulation results are compared in terms of network lifetime, throughput, path loss, transmission loss and packet drop ratio. The results show that the proposed technique performs better in terms of network lifetime, throughput, path loss and scalability.

  10. County Census Divisions, Census 2000

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  11. Energy-Efficient and Fast Data Gathering Protocols for Indoor Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Abdullah Erdal Tümer

    2010-08-01

    Full Text Available Wireless Sensor Networks have become an important technology with numerous potential applications for the interaction of computers and the physical environment in civilian and military areas. In the routing protocols that are specifically designed for the applications used by sensor networks, the limited available power of the sensor nodes has been taken into consideration in order to extend the lifetime of the networks. In this paper, two protocols based on LEACH and called R-EERP and S-EERP with base and threshold values are presented. R-EERP and S-EERP are two efficient energy aware routing protocols that can be used for some critical applications such as detecting dangerous gases (methane, ammonium, carbon monoxide, etc. in an indoor environment. In R-EERP, sensor nodes are deployed randomly in a field similar to LEACH. In S-EERP, nodes are deployed sequentially in the rooms of the flats of a multi-story building. In both protocols, nodes forming clusters do not change during a cluster change time, only the cluster heads change. Furthermore, an XOR operation is performed on the collected data in order to prevent the sending of the same data sensed by the nodes close to each other. Simulation results show that our proposed protocols are more energy-efficient than the conventional LEACH protocol.

  12. Census Data

    Data.gov (United States)

    Department of Housing and Urban Development — The Bureau of the Census has released Census 2000 Summary File 1 (SF1) 100-Percent data. The file includes the following population items: sex, age, race, Hispanic...

  13. Planning to gather information

    Energy Technology Data Exchange (ETDEWEB)

    Kwok, Chung T.; Weld, D.S. [Univ. of Washington, Seattle, WA (United States)

    1996-12-31

    We describe Occam, a query planning algorithm that determines the best way to integrate data from different sources. As input, Occam takes a library of site descriptions and a user query. As output, Occam automatically generates one or more plans that encode alternative ways to gather the requested information. Occam has several important features: (1) it integrates both legacy systems and full relational databases with an efficient, domain-independent, query-planning algorithm, (2) it reasons about the capabilities of different information sources, (3) it handles partial goal satisfaction i.e., gathers as much data as possible when it can`t gather exactly all that the user requested, (4) it is both sound and complete, and (5) it is efficient. We present empirical results demonstrating Occam`s performance on a variety of information gathering tasks.

  14. Muskox census

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — A total of 148 muskox in 7 groups were counted. A few muskox were probably missed during the census and the total of 148 muskox represents the minimum recalving...

  15. Qualified Census Tracts

    Data.gov (United States)

    Department of Housing and Urban Development — A Qualified Census Tract (QCT) is any census tract (or equivalent geographic area defined by the Census Bureau) in which at least 50% of households have an income...

  16. Taos 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  17. Bureau of the Census

    Science.gov (United States)

    ... introduce you to the Census Business Builder: Small Business Edition, a free online web app that provides selected Census Bureau demographic ... introduce you to the Census Business Builder: Small Business Edition, a free online web app that provides selected Census Bureau demographic ...

  18. 2015 Census Blocks Geodatabase

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The 2015 TIGER Geodatabases are extracts of selected nation based and state based geographic and cartographic information from the U.S. Census Bureau's Master...

  19. [Population census, 1980].

    Science.gov (United States)

    Suharto, S

    1980-12-01

    The author describes the types of data collected in the 1980 population census of Indonesia, considers the differences between the 1971 and 1980 censuses, and discusses which data and tables are scheduled to be published. A copy of the census questionnaire and an explanation of the concepts and definitions used are also included. PMID:12338729

  20. Voices - The Gathering

    OpenAIRE

    Carolyn Kenny

    2002-01-01

    Soon music therapists will be gathering again for another World Congress of Music Therapy, this time in Oxford, UK. Each time these gatherings become more and more exciting. It is good that the numbers of music therapists around the world keep increasing. But the exciting aspect of these International gatherings, for me, is the opportunity to experience the tremendous diversity, which is also growing each year. More and more countries are learning about music therapy and setting up training p...

  1. Frequency scaling for angle gathers

    KAUST Repository

    Zuberi, M. A H

    2014-01-01

    Angle gathers provide an extra dimension to analyze the velocity after migration. Space-shift and time shift-imaging conditions are two methods used to obtain angle gathers, but both are reasonably expensive. By scaling the time-lag axis of the time-shifted images, the computational cost of the time shift imaging condition can be considerably reduced. In imaging and more so Full waveform inversion, frequencydomain Helmholtz solvers are used more often to solve for the wavefields than conventional time domain extrapolators. In such cases, we do not need to extend the image, instead we scale the frequency axis of the frequency domain image to obtain the angle gathers more efficiently. Application on synthetic data demonstrate such features.

  2. Voices - The Gathering

    Directory of Open Access Journals (Sweden)

    Carolyn Kenny

    2002-07-01

    Full Text Available Soon music therapists will be gathering again for another World Congress of Music Therapy, this time in Oxford, UK. Each time these gatherings become more and more exciting. It is good that the numbers of music therapists around the world keep increasing. But the exciting aspect of these International gatherings, for me, is the opportunity to experience the tremendous diversity, which is also growing each year. More and more countries are learning about music therapy and setting up training programs for music therapists. And the organizers of the Oxford conference are creating an event that is very respectful of this diversity and one that will provide many opportunities for cross-cultural exchanges.

  3. Valencia County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  4. Chaves County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  5. Quay County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  6. Curry County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  7. Lea County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  8. Eddy County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  9. Lincoln County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  10. Roosevelt County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  11. Guadalupe County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  12. Chaves County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  13. Taos County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  14. Bernalillo County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  15. Mora County 2000 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  16. Census_sum_15

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — The GIS layer "Census_sum_15" provides a standardized tool for examining spatial patterns in abundance and demographic trends of the southern sea otter (Enhydra...

  17. Waterbird Census Summary 1997

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — A census of all known wetland area large enough to have any waterbird use was commenced at Patuxent Research Refuge in the fall of 1996. This report is a...

  18. 1980 Census Tracts (TIGER)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO...

  19. The Efficiency Level in the Estimation of the Nigerian Population: A Comparison of One-Stage and Two-Stage Sampling Technique (A Case Study of the 2006 Census of Nigerians

    Directory of Open Access Journals (Sweden)

    T.J. Akingbade

    2014-09-01

    Full Text Available This research work compares the one-stage sampling technique (Simple Random Sampling and two-stage sampling technique for estimating the population total of Nigerians using the 2006 census result of Nigerians. A sample size of twenty (20 states was selected out of a population of thirty six (36 states at the Primary Sampling Unit (PSU and one-third of each state selected at the PSU was sample at the Secondary Sampling Unit (SSU and analyzed. The result shows that, with the same sample size at the PSU, one-stage sampling technique (Simple Random Sampling is more efficient than two-stage sampling technique and hence, recommended.

  20. Federal census of the population in Switzerland

    CERN Multimedia

    DG Unit

    2011-01-01

    A federal census of the 2010 population has been underway since January 2011. The objective is to provide important insights into the composition of the resident population, households and families in Switzerland and identify trends. The census methods have been modernised so that it covers only information that is not already contained in Federal, Cantonal and municipal registries of persons; the information will be gathered via questionnaires issued to approximately 3% of the population residing in Switzerland. In order to obtain representative information about the local population, the Canton of Geneva has requested that questionnaires be issued to international civil servants and members of their families aged 15 and over who live in the Canton. They will be invited to respond to the questionnaire on a strictly voluntary basis. If they choose not to respond to the questionnaire, they will not be contacted again. The Permanent Swiss Mission to the International Organizations in Geneva wishes in advance t...

  1. Census Snapshot: New Mexico

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in New Mexico. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in New Mexico. In many ways, the more than 6,000 same-sex couples living in New Mexico are similar to married couple...

  2. Census Snapshot: Vermont

    OpenAIRE

    Romero, Adam P; Baumle, Amanda K; Badgett, M. V. Lee; Gates, Gary J.

    2007-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Vermont. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Vermont. In many ways, the almost 2,200 same-sex couples living in Vermont are similar to married couples. According...

  3. Census Snapshot: Virginia

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Virginia. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Virginia. In many ways, the almost 20,000 same-sex couples living in Virginia are similar to married couples. Accor...

  4. Census Snapshot: South Dakota

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in South Dakota. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in South Dakota. In many ways, the nearly 1,000 same-sex couples living in South Dakota are similar to married cou...

  5. Census Snapshot: Arkansas

    OpenAIRE

    Romero, Adam P; Baumle, Amanda K; Badgett, M. V. Lee; Gates, Gary J.

    2007-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Arkansas. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Arkansas. In many ways, the almost 5,900 same-sex couples living in Arkansas are similar to married couples. Accord...

  6. Census Snapshot: New Jersey

    OpenAIRE

    Romero, Adam P; Baumle, Amanda; Badgett, M. V. Lee; Gates, Gary J.

    2007-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in New Jersey. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in New Jersey. In many ways, the almost 21,000 same-sex couples living in New Jersey are similar to married couples....

  7. Census Snapshot: New Hampshire

    OpenAIRE

    Romero, Adam P; Baumle, Amanda K; Badgett, M. V. Lee; Gates, Gary J.

    2007-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in New Hampshire. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in New Hampshire. In many ways, the more than 5,500 same-sex couples living in New Hampshire are similar to marri...

  8. Census Snapshot: Nevada

    OpenAIRE

    Romero, Adam P; Baumle, Amanda K; Badgett, M. V. Lee; Gates, Gary J.

    2007-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Nevada. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Nevada. In many ways, the more than 6,000 same-sex couples living in Nevada are similar to married couples. According...

  9. Census Snapshot: New York

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in New York. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in New York. In many ways, the more than 50,000 same-sex couples living in New York are similar to married couples. Ac...

  10. Census Snapshot: Arizona

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Arizona. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Arizona. In many ways, the almost 17,000 same-sex couples living in Arizona are similar to married couples. Accordin...

  11. Census Snapshot: Nebraska

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Nebraska. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Nebraska. In many ways, the almost 4,000 same-sex couples living in Nebraska are similar to married couples. Accord...

  12. Census Snapshot: Florida

    OpenAIRE

    Romero, Adam P; Baumle, Amanda K; Badgett, M. V. Lee; Gates, Gary J.

    2007-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Florida. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Florida. In many ways, the almost 55,000 same-sex couples living in Florida are similar to married couples. Accordin...

  13. Census Snapshot: Montana

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Montana. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Montana. In many ways, the more than 1,600 same-sex couples living in Montana are similar to married couples. Accord...

  14. Census Snapshot: Kentucky

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Kentucky. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Kentucky. In many ways, the more than 9,700 same-sex couples living in Kentucky are similar to married couples. Acc...

  15. Census Snapshot: Utah

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Utah. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Utah. In many ways, the more than 4,300 same-sex couples living in Utah are similar to married couples. According to Ce...

  16. Census Snapshot: Colorado

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Colorado. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Colorado. In many ways, the almost 16,000 same-sex couples living in Colorado are similar to married couples. According t...

  17. Census Snapshot: California

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in California. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in California. In many ways, the more than 107,000 same-sex couples living in California are similar to married coup...

  18. Census Snapshot: West Virginia

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in West Virginia. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in West Virginia. In many ways, the almost 3,500 same-sex couples living in West Virginia are similar to married ...

  19. Census Snapshot: Alabama

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Alabama. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Alabama. In many ways, the more than 8,500 same-sex couples living in Alabama are similar to married couples. Accord...

  20. Census Snapshot: North Carolina

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in North Carolina. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in North Carolina. In many ways, the nearly 20,000 same-sex couples living in North Carolina are similar to marr...

  1. Census Snapshot: Puerto Rico

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in the Commonwealth of Puerto Rico. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Puerto Rico. In many ways, the nearly 7,000 same-sex couples living in Puerto Rico are simil...

  2. Census Snapshot: Alaska

    OpenAIRE

    Romero, Adam P; Baumle, Amanda K; Badgett, M. V. Lee; Gates, Gary J.

    2007-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Alaska. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Alaska. In many ways, the more than 1,600 same-sex couples living in Alaska are similar to married couples. According...

  3. Census Snapshot: Wyoming

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Wyoming. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Wyoming. In many ways, the more than 1,000 same-sex couples living in Wyoming are similar to married couples. Accord...

  4. Census Snapshot: Wisconsin

    OpenAIRE

    Romero, Adam P; Baumle, Amanda K; Badgett, M. V. Lee; Gates, Gary J.

    2007-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Wisconsin. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Wisconsin. In many ways, the almost 15,000 same-sex couples living in Wisconsin are similar to married couples. Ac...

  5. Census Snapshot: Iowa

    OpenAIRE

    MacCartney, Danielle; Badgett, M. V. Lee; Gates, Gary J.

    2007-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Iowa. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Iowa. In many ways, the almost 5,800 same-sex couples living in Iowa are similar to married couples. According to Censu...

  6. Census Snapshot: South Carolina

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in South Carolina. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in South Carolina. In many ways, the more than 10,500 same-sex couples living in South Carolina are similar to married c...

  7. Census Snapshot: Connecticut

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Connecticut. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Connecticut. In many ways, the more than 10,000 same-sex couples living in Connecticut are similar to married co...

  8. Census Snapshot: Ohio

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Ohio. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Ohio. In many ways, the almost 31,000 same-sex couples living in Ohio are similar to married couples. According to Cens...

  9. Census Snapshot: Kansas

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Kansas. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Kansas. In many ways, the more than 6,500 same-sex couples living in Kansas are similar to married couples. According...

  10. Census Snapshot: North Dakota

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in North Dakota. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in North Dakota. In many ways, the nearly 1,100 same-sex couples living in North Dakota are similar to married cou...

  11. Census Snapshot: Louisiana

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Louisiana. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Louisiana. In many ways, the more than 9,000 same-sex couples living in Louisiana are similar to married couples. ...

  12. Census Snapshot: Idaho

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Idaho. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Idaho. In many ways, the almost 2,100 same-sex couples living in Idaho are similar to married couples. According to Ce...

  13. Census Snapshot: Maine

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Maine. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Maine. In many ways, the more than 4,800 same-sex couples living in Maine are similar to married couples. According to...

  14. Census Snapshot: Illinois

    OpenAIRE

    Romero, Adam P; Baumle, Amanda; Badgett, M. V. Lee; Gates, Gary J.

    2007-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Illinois. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Illinois. In many ways, the more than 30,000 same-sex couples living in Illinois are similar to married couples. Ac...

  15. Census Snapshot: Delaware

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Delaware. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Delaware. In many ways, the nearly 2,100 same-sex couples living in Delaware are similar to married couples. Accor...

  16. Census Snapshot: Mississippi

    OpenAIRE

    Romero, Adam P; Baumle, Amanda; Badgett, M. V. Lee; Gates, Gary J.

    2007-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Mississippi. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Mississippi. In many ways, the more than 4,700 same-sex couples living in Mississippi are similar to married cou...

  17. Census Snapshot: Indiana

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Indiana. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Indiana. In many ways, the almost 16,000 same-sex couples living in Indiana are similar to married couples. Accordin...

  18. Census Snapshot: Maryland

    OpenAIRE

    Romero, Adam P; Baumle, Amanda; Badgett, M. V. Lee; Gates, Gary J.

    2007-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Maryland. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Maryland. In many ways, the over 15,600 same-sex couples living in Maryland are similar to married couples. Accordi...

  19. Census Snapshot: Texas

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Texas. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Texas. In many ways, the almost 50,000 same-sex couples living in Texas are similar to married couples. According to C...

  20. Census Snapshot: United States

    OpenAIRE

    Romero, Adam P; Baumle, Amanda K; Badgett, M. V. Lee; Gates, Gary J.

    2007-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in the U.S. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in the U.S. In many ways, the almost 777,000 same-sex couples living in the U.S. are similar to married couples. Accord...

  1. Census Snapshot: Tennessee

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Tennessee. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Tennessee. In many ways, the more than 13,500 same-sex couples living in Tennessee are similar to married couples....

  2. Census Snapshot: Washington

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Washington. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Washington. In many ways, the almost 24,000 same-sex couples living in Washington are similar to married couples....

  3. Census Snapshot: Rhode Island

    OpenAIRE

    Romero, Adam P; Baumle, Amanda; Badgett, M. V. Lee; Gates, Gary J.

    2007-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Rhode Island. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Rhode Island. In many ways, the over 2,400 same-sex couples living in Rhode Island are similar to married coupl...

  4. Census Snapshop: Georgia

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Georgia. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Georgia. In many ways, the almost 24,500 same-sex couples living in Georgia are similar to married couples. According to Cen...

  5. Census Snapshot: Michigan

    OpenAIRE

    Romero, Adam P; Baumle, Amanda; Badgett, M. V. Lee; Gates, Gary J.

    2007-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Michigan. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Michigan. In many ways, the more than 22,000 same-sex couples living in Michigan are similar to married couples. Ac...

  6. Census Snapshot: Oklahoma

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Oklahoma. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Oklahoma. In many ways, the almost 8,200 same-sex couples living in Oklahoma are similar to married couples. Accord...

  7. Census Snapshot: Missouri

    OpenAIRE

    Romero, Adam P; Rosky, Clifford J; Badgett, M. V. Lee; Gates, Gary J.

    2008-01-01

    Using data from the U.S. Census Bureau, this report provides demographic and economic information about same-sex couples and same-sex couples raising children in Missouri. We compare same-sex “unmarried partners,” which the Census Bureau defines as an unmarried couple who “shares living quarters and has a close personal relationship,” to different-sex married couples in Missouri. In many ways, the almost 15,000 same-sex couples living in Missouri are similar to married couples. Accor...

  8. Software Security Requirements Gathering Instrument

    OpenAIRE

    Smriti Jain; Maya Ingle

    2011-01-01

    Security breaches are largely caused by the vulnerable software. Since individuals and organizations mostly depend on softwares, it is important to produce in secured manner. The first step towards producing secured software is through gathering security requirements. This paper describes Software Security Requirements Gathering Instrument (SSRGI) that helps gather security requirements from the various stakeholders. This will guide the developers to gather security requirements along with th...

  9. Waterbird Census Summary 1999

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This was the third full year of intensive surveys of most of the wetland areas on the Refuge. No new areas were added to the census in 1999. The inventory now...

  10. Gathering positive experience

    CERN Multimedia

    2009-01-01

    Last Monday, the new CERN Machine Advisory Committee (CMAC) met for the first time, and we had good news to tell its members. Over the weekend, injection tests for both LHC beams were successfully carried out. In other words, we’ve had beam in the LHC for the first time since September 2008. That’s a good feeling, but it’s no reason for complacency. There’s still a long way to go before first physics at the new energy frontier. As the Bulletin has reported over recent weeks, we’re gathering a lot of positive experience with the new quench detection and protection system (QPS), which is already allowing us to monitor the LHC far better than we were able to in the past. So far, the QPS for three of the LHC’s eight sectors has been put through its paces, and we’ve also power tested those sectors to 2000 amperes, the equivalent of around 1.2 TeV per beam. The next step is to slowly increase the current to 4000 amperes, and...

  11. DemoCensus_MCDPLACE1990

    Data.gov (United States)

    Vermont Center for Geographic Information — The 1990 Census TIGER/Line File is an extract of selected geographic and cartographic information from the Census Bureau's TIGER (Topologically Integrated...

  12. DemoCensus_BLCKGR1990

    Data.gov (United States)

    Vermont Center for Geographic Information — The DemoCensus_BLCKGR1990 TIGER/Line File is an extract of selected geographic and cartographic information from the Census Bureau's 1990 TIGER (Topologically...

  13. CDC WONDER: Population (from Census)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Population online databases contain data from the US Census Bureau. The Census Estimates online database contains contains county-level population counts for...

  14. Census Bureau Regional Office Boundaries

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The Census Bureau has six regional offices to facilitate data collection, data dissemination and geographic operations within their boundary. The surveys these...

  15. CDC WONDER: Population (from Census)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Population online databases contain data from the US Census Bureau. The Census Estimates online database contains county-level population counts for years 1970...

  16. Efficient information gathering on the Internet

    Energy Technology Data Exchange (ETDEWEB)

    Etzioni, O.; Hanks, S.; Waarts, O. [Univ. of California, Berkeley, CA (United States)] [and others

    1996-12-31

    The Internet offers unprecedented access to information. At present most of this information is free, but information providers are likely to start charging for their services in the near future. With that in mind this paper introduces the following information access problem: given a collection of n information sources, each of which has a known time delay, dollar cost and probability of providing the needed information, find an optimal schedule for querying the information sources. We study several variants of the problem which differ in the definition of an optimal schedule. We first consider a cost model in which the problem is to minimize the expected total cost (monetary and time) of the schedule, subject to the requirement that the schedule may terminate only when the query has been answered or all sources have been queried unsuccessfully. We develop an approximation algorithm for this problem and for an extension of the problem in which more than a single item of information is being sought. We then develop approximation algorithms for a reward model in which a constant reward is earned if the information is successfully provided, and we seek the schedule with the maximum expected difference between the reward and a measure of cost. The monetary and time costs may either appear in the cost measure or be constrained not to exceed a fixed upper bound; these options give rise to four different variants of the reward model.

  17. 能量有效和延迟敏感的无线传感器网络数据收集协议%Energy-Efficient and Delay-Sensitive Data Gathering Protocol for Wireless Sensor Networks

    Institute of Scientific and Technical Information of China (English)

    罗振瑛; 郑瑾

    2010-01-01

    利用移动Sink进行数据收集是无线传感器网络数据收集的一个趋势.本文提出一种能量有效、延迟敏感的移动数据收集协议(Energy-efficient and Delay-Sensitive Data Gathering Protocol for Wireless Sensor Networks,简称EEDS).EEDS中,移动Sink在网络中穿行,从代理节点收集传感器节点监测到的数据.为了减少数据收集的延迟,采用类TSP(Traveling Salesman Problem)的解决方法, 确保移动Sink在各个代理节点中收集数据时,始终选择一条最短路径在网络中行走.模拟仿真表明,提出的数据收集协议在延长网络生命周期以及减少数据收集延迟方面都有显著的优势.

  18. Union County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  19. Los Alamos County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  20. Los Alamos County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  1. Hidalgo County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  2. Census Bureau Planned Acquisition: Address Data

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The Census Bureau updates and maintains address data to support the correct allocation of population and housing for censuses and surveys. Boundaries, streets,...

  3. Guadalupe County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  4. Rio Arriba County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  5. Lea County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  6. Census Bureau Planned Acquisition: street centerline data

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The Census Bureau updates and maintains street centerline data to support the correct allocation of population and housing for censuses and surveys. Boundaries,...

  7. Santa Fe County 2000 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  8. 2000 Census Urban Areas and Clusters

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  9. Valencia County 2000 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected...

  10. Census 2000 Places (cen00pl02)

    Data.gov (United States)

    California Department of Resources — Census 2000 Place Names provides a seamless statewide GIS layer of places, including census designated places (CDP), consolidated cities, and incorporated places,...

  11. New Mexico, 2010 Census Census Tract State-based

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Gathering Design References from Nature

    Science.gov (United States)

    Debs, Luciana; Kelley, Todd

    2015-01-01

    Teaching design to middle and high school students can be challenging. One of the first procedures in teaching design is to help students gather information that will be useful in the design phase. An early stage of engineering design as described by Lewis (2005), calls for the designer to establish the state of the art of the problem. During this…

  13. Seismic Data Gathering and Validation

    Energy Technology Data Exchange (ETDEWEB)

    Coleman, Justin [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2015-02-01

    Three recent earthquakes in the last seven years have exceeded their design basis earthquake values (so it is implied that damage to SSC’s should have occurred). These seismic events were recorded at North Anna (August 2011, detailed information provided in [Virginia Electric and Power Company Memo]), Fukushima Daichii and Daini (March 2011 [TEPCO 1]), and Kaswazaki-Kariwa (2007, [TEPCO 2]). However, seismic walk downs at some of these plants indicate that very little damage occurred to safety class systems and components due to the seismic motion. This report presents seismic data gathered for two of the three events mentioned above and recommends a path for using that data for two purposes. One purpose is to determine what margins exist in current industry standard seismic soil-structure interaction (SSI) tools. The second purpose is the use the data to validated seismic site response tools and SSI tools. The gathered data represents free field soil and in-structure acceleration time histories data. Gathered data also includes elastic and dynamic soil properties and structural drawings. Gathering data and comparing with existing models has potential to identify areas of uncertainty that should be removed from current seismic analysis and SPRA approaches. Removing uncertainty (to the extent possible) from SPRA’s will allow NPP owners to make decisions on where to reduce risk. Once a realistic understanding of seismic response is established for a nuclear power plant (NPP) then decisions on needed protective measures, such as SI, can be made.

  14. Unified School Districts, Census 2000

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The New Mexico 2000 Unified School Districts layer was derived from the TIGER Line files from the US Census Bureau. The districts are clipped to the state...

  15. Socorro County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Sandoval County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Taos County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Torrance County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. Lincoln County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. DemoCensus_COUSUB2010

    Data.gov (United States)

    Vermont Center for Geographic Information — COUSUB2010 contains a subset of attributes from Summary File 1 of the 2010 Decennial Census.The TIGER/Line Files are shapefiles and related database files (.dbf)...

  1. DemoCensus_BLCK2010

    Data.gov (United States)

    Vermont Center for Geographic Information — BLCK2010 contains a subset of attributes from Summary File 1 of the 2010 Decennial Census. The TIGER/Line Files are shapefiles and related database files (.dbf)...

  2. Quay County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Tortugas Reef Fish Census (CRCP)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This is a long term data set collecting visual census transect data on reef fishes at staions located at Rileys Hump, Tortugas South Ecological Reservee.

  4. Harding County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Hidalgo County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. New Mexico, 2010 Census Place

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Bernalillo County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Otero County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Roosevelt County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Lincoln County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Colfax County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Mora County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Curry County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Luna County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Guadalupe County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Catron County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Harding County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Cibola County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. Lea County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Sierra County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Chaves County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Union County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Eddy County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Valencia County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Grant County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Otero County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Taos County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Curry County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Chaves County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Luna County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Valencia County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Sandoval County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Eddy County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Lea County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Cibola County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Roosevelt County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Union County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Quay County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. Socorro County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Bernalillo County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Grant County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Curry County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Chaves County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Sierra County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Sandoval County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Colfax County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Eddy County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Socorro County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Harding County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Luna County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Mora County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Bernalillo County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Guadalupe County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Quay County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Grant County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Lea County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Union County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Catron County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. Lincoln County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Cibola County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Torrance County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Roosevelt County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Hidalgo County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Otero County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Valencia County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Taos County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Colfax County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Guadalupe County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Mora County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Catron County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Sierra County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Lincoln County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Torrance County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Harding County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Hidalgo County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Mora County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. 1980 Census Subcounty Areas (TIGER)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software was ARC/INFO...

  18. Information gathering for CLP classification

    Directory of Open Access Journals (Sweden)

    Ida Marcello

    2011-01-01

    Full Text Available Regulation 1272/2008 includes provisions for two types of classification: harmonised classification and self-classification. The harmonised classification of substances is decided at Community level and a list of harmonised classifications is included in the Annex VI of the classification, labelling and packaging Regulation (CLP. If a chemical substance is not included in the harmonised classification list it must be self-classified, based on available information, according to the requirements of Annex I of the CLP Regulation. CLP appoints that the harmonised classification will be performed for carcinogenic, mutagenic or toxic to reproduction substances (CMR substances and for respiratory sensitisers category 1 and for other hazard classes on a case-by-case basis. The first step of classification is the gathering of available and relevant information. This paper presents the procedure for gathering information and to obtain data. The data quality is also discussed.

  19. Texture Segmentation by Evidence Gathering

    OpenAIRE

    Waller, Ben; Nixon, Mark; Carter, John

    2011-01-01

    A new approach to texture segmentation is presented which uses Local Binary Pattern data to provide evidence from which pixels can be classified into texture classes. The proposed algorithm, which we contend to be the first use of evidence gathering in the field of texture classification, uses Generalised Hough Transform style R-tables as unique descriptors for each texture class and an accumulator is used to store votes for each texture class. Tests on the Brodatz database and Berkeley Segme...

  20. Influence de l'énergie de surface d'un tambour deshuileur sur son efficacité de relevage Influence of the Surface Energy of a Deoiling Drum on Its Gathering Efficiency

    Directory of Open Access Journals (Sweden)

    Aurelle Y.

    2006-11-01

    Full Text Available Au cours de cette étude est analysée l'influence de l'énergie de surface d'un tambour déshuileur sur son efficacité et sa sélectivité de relevage. Quatre tambours en acier inoxydable, en polychlorure de vinyle, en polypropylène et en dérivé fluorocarboné de tensions critiques de mouillage différentes sont testés comparativement en fonction de l'histoire de leur expositionvis-à-vis de phases hydrocarbure (kérosène et eau. Les essais réalisés montrent que seuls les tambours en dérivé fluorocarboné de très faible tension critique de mouillage s'avèrent intéressants pour des utilisations industrielles. En effet, ils présentent un comportement indépendant de l'histoire de leur exposition ce qui les rend très faciles à utiliser, sans précautions particulières, du fait de leur très grande sélectivité vis-à-vis des hydrocarbures. Par contre, les autres tambours, qui présentent des contributions polaires non négligeables à leur énergie de surface, ont des comportements vis-à-vis des hydrocarbures fonction de l'histoire de leur exposition et ne s'avèrent pas sélectifs vis-à-vis des hydrocarbures à récupérer. The aim of this article is to analyze the influence of the surface energy of a deoiling drum on its gathering efficiency and selectivity. The project consists in testing drums having the same size but made of materials having different surface energies so as to evaluate the influence of this key parameter that had previously been poorly analyzed. Four materials were chosen : stainless steel, polyvinyl chloride, polypropylene, and a fluorocarbon derivative. These materials are representative, a priori, of the behavior of most materials because of the position of their critical wetting tension (gamma c compared to the superficial tension values of water (72 dyn/cm and the hydrocarbon phases to be gathered (25 to 35 dyn/cm (Fig. 1. It should be noted that the fluorocarbon derivative drum tested was patented by

  1. The complex structure of hunter–gatherer social networks

    OpenAIRE

    Hamilton, Marcus J.; Milne, Bruce T.; Walker, Robert S.; Burger, Oskar; Brown, James H

    2007-01-01

    In nature, many different types of complex system form hierarchical, self-similar or fractal-like structures that have evolved to maximize internal efficiency. In this paper, we ask whether hunter-gatherer societies show similar structural properties. We use fractal network theory to analyse the statistical structure of 1189 social groups in 339 hunter-gatherer societies from a published compilation of ethnographies. We show that population structure is indeed self-similar or fractal-like wit...

  2. New Mexico Urban Areas - 2000 Census

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database...

  3. Cognitive adaptations for gathering-related navigation in humans

    Science.gov (United States)

    Krasnow, Max M.; Truxaw, Danielle; Gaulin, Steven J.C.; New, Joshua; Ozono, Hiroki; Uono, Shota; Ueno, Taiji; Minemoto, Kazusa

    2013-01-01

    Current research increasingly suggests that spatial cognition in humans is accomplished by many specialized mechanisms, each designed to solve a particular adaptive problem. A major adaptive problem for our hominin ancestors, particularly females, was the need to efficiently gather immobile foods which could vary greatly in quality, quantity, spatial location and temporal availability. We propose a cognitive model of a navigational gathering adaptation in humans and test its predictions in samples from the US and Japan. Our results are uniformly supportive: the human mind appears equipped with a navigational gathering adaptation that encodes the location of gatherable foods into spatial memory. This mechanism appears to be chronically active in women and activated under explicit motivation in men. PMID:23833551

  4. Hunter-Gatherer Energetics and Human Obesity

    OpenAIRE

    Pontzer, Herman; Raichlen, David A.; Wood, Brian M.; Mabulla, Audax Z. P.; Racette, Susan B.; Marlowe, Frank W.

    2012-01-01

    Western lifestyles differ markedly from those of our hunter-gatherer ancestors, and these differences in diet and activity level are often implicated in the global obesity pandemic. However, few physiological data for hunter-gatherer populations are available to test these models of obesity. In this study, we used the doubly-labeled water method to measure total daily energy expenditure (kCal/day) in Hadza hunter-gatherers to test whether foragers expend more energy each day than their Wester...

  5. Demographic Data - CENSUS_TRACTS_TIGER2011_IN: Census Tract Areas for Indiana in 2011 (United States Census Bureau, 1:100,000, Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — CENSUS_TRACTS_TIGER2011_IN.SHP is a polygon shapefile that contains 2011 census tract boundaries for the state of Indiana. Census tracts are not legal boundaries,...

  6. Demographic Data - CENSUS_BLOCKGROUPS_TIGER2011_IN: Census Block Group Areas for Indiana in 2011 (United States Census Bureau, 1:100,000, Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — CENSUS_BLOCKGROUPS_TIGER2011_IN.SHP is a polygon shapefile that contains 2011 census block group boundaries for the state of Indiana. Census block groups are not...

  7. Demographic Data - CENSUS_BLOCKS_TIGER2011_IN: Census Block Areas for Indiana in 2011 (United States Census Bureau, 1:100,000, Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — CENSUS_TRACTS_TIGER2011_IN.SHP is a polygon shapefile that contains 2011 census block boundaries for the state of Indiana. Census blocks are not legal boundaries,...

  8. Computer systems to support census geography.

    Science.gov (United States)

    Deecker, G; Cunningham, R; Kidd, K

    1986-01-01

    The development of computer systems that support the geography of the census in Canada is described. The authors "present proposals for the 1991 Census that increase the level of automation, whether the geography changes or not. In addition, opportunities for change and improvement, should the geography change, are outlined. To minimize the risks involved, it is important to give these different proposals serious consideration early in the planning of a census." PMID:12341362

  9. 75 FR 54853 - Census Advisory Committees

    Science.gov (United States)

    2010-09-09

    ... Committees provide an organized and continuing channel of communication between the representative race and ethnic populations and the Census Bureau. The Committees provide an outside- user perspective and...

  10. New Mexico Census Tracts, Total Population (2010)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article...

  11. An information theory of image gathering

    Science.gov (United States)

    Fales, Carl L.; Huck, Friedrich O.

    1991-01-01

    Shannon's mathematical theory of communication is extended to image gathering. Expressions are obtained for the total information that is received with a single image-gathering channel and with parallel channels. It is concluded that the aliased signal components carry information even though these components interfere with the within-passband components in conventional image gathering and restoration, thereby degrading the fidelity and visual quality of the restored image. An examination of the expression for minimum mean-square-error, or Wiener-matrix, restoration from parallel image-gathering channels reveals a method for unscrambling the within-passband and aliased signal components to restore spatial frequencies beyond the sampling passband out to the spatial frequency response cutoff of the optical aperture.

  12. Weather and Environmental Hazards at Mass Gatherings

    OpenAIRE

    Soomaroo, Lee; Murray, Virginia

    2012-01-01

    Introduction Reviews of mass gathering events have traditionally concentrated on crowd variables that affect the level and type of medical care needed. Weather and environmental hazards at mass gathering events have not been fully researched. This review examines these events and aims to provide future suggestions for event organisers, medical resource planners, and emergency services, including local hospital emergency departments. Methods A review was conducted using computerised data bases...

  13. Study of processes involved in oil spill gathering in water

    International Nuclear Information System (INIS)

    Separate flow of an oil/water mixture along a tray has been found possible only at very low rates. Higher flowrates cause surges where some oil globules begin running away from the bulk of blocked oil, skipping under the boom used in experiments. It has been found that booms used for gathering oil spills on the water surface will be efficient of water flows below 0.16 m/sec. 2 figs

  14. Completing the AGN Census for Nearby Galaxies (Archival Component)

    Science.gov (United States)

    Ho, Luis

    2010-09-01

    The census of AGNs in the local Universe provides an efficient and effective estimate of the occupation fraction of central black holes in galaxies. While the demographics of AGNs in bulge-dominated systems is fairly well known, the situation in later-type galaxies is still murky because of potential optical selection biases. Searching for X-ray cores using Chandra can bypass these complications. We propose to complete the local AGN census by surveying all 188 star-forming (H II) nuclei in the well-studied Palomar sample of nearby galaxies. We request funding to analyze the 85 objects already in the archive; new observations have been proposed for the rest. We will establish with unprecedented reliability the AGN fraction across a wide range in Hubble type and Eddington ratios.

  15. 辽河油田曙一区超稠油高温地面集输综合提效工程%Comprehensive Enhancing Efficiency Engineering of High Temperature Surface Gathering and Transportation of Liaohe Oilfield Shuyi District Extra Heavy Oil

    Institute of Scientific and Technical Information of China (English)

    郭金鹏

    2016-01-01

    As the extra heavy oil SAGD development became commercial, many issues came up within the surface gathering and transportation process, such as over limit of pro-duced gas hydrogen sulfide, unable to dehydration because of high temperature of SAGD produced emulsion.Through the technology upgrading to transport extra heavy oil efficient-ly, safely and stably, carried out comprehensive enhancing efficiency engineering of surface gathering and transportation of Shuyi district extra heavy oil, including three process projects emulsion desulfuration, purification, separation, reinjection, and waste-heat utilization. The anticipated yearly economy benefit could get over 49.5 million yuan, in the meanwhile it will eliminate the safety hazard of hydrogen sulfide in site.%随着超稠油SAGD高温开采方式的推广,伴生气含硫化氢量严重超标、SAGD产出液温度高无法脱水等问题都对地面集输工艺提出了新的要求。为了通过技术升级实现超稠油高效、安全和稳定地输送,开展了曙一区超稠油集输综合提效工程,包括超稠油密闭集输后集中脱硫、脱硫后进一步净化分离回注和SAGD产出液余热利用三大工艺项目,预计年经济效益可达4950万元以上,同时也可消除硫化氢对油区的安全危害。

  16. Prevention of pneumococcal infections during mass gathering.

    Science.gov (United States)

    Al-Tawfiq, Jaffar A; Memish, Ziad A

    2016-02-01

    The interest in mass gathering and its implications has been increasing due to globalization and international travel. The potential occurrence of infectious disease outbreaks during mass gathering is most feared. In this context, respiratory tract infections are of great concern due to crowding in a limited space which facilitates and magnifies the potential of disease spread among attendees. Pneumococcal disease is best described among pilgrims to Makkah and vaccination is one of the methods for the prevention of this disease. Pneumonia was described in a mass gathering with a prevalence of 4.8/100,000 pilgrims and contributes to 15-39% of hospitalizations. Various studies showed that 7-37% of pilgrims are 65 y of age or older. The uptake of pneumococcal vaccine among pilgrims is low at 5%. There is no available data to make strong recommendations for S. pneumoniae vaccination of all pilgrims, it is important that a high risk population receive the indicated vaccination. We reviewed the available literature on the burden of pneumococcal infections during mass gathering and evaluate the available literature on pneumococcal vaccinations for attendees of mass gathering. PMID:26176306

  17. A global census of marine microbes

    Digital Repository Service at National Institute of Oceanography (India)

    Amaral-Zettler, L.; Artigas, L.F.; Baross, J.; LokaBharathi, P.A; Boetius, A; Chandramohan, D.; Herndl, G.; Kogure, K.; Neal, P.; Pedros-Alio, C.; Ramette, A; Schouten, S.; Stal, L.; Thessen, A; De Leeuw, J.; Sogin, M.

    In this chapter we provide a brief history of what is known about marine microbial diversity, summarize our achievements in performing a global census of marine microbes, and reflect on the questions and priorities for the future of the marine...

  18. Demographic Data - MO 2000 Census Geography (PDF)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Each county directory on the MSDIS FTP site has the official census tract & voting district outline maps in Adobe Acrobat (.pdf) format. These are stored in the...

  19. Roosevelt County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Dona Ana County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Rio Arriba County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Curry County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Otero County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. San Juan County 1990 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was...

  5. Los Alamos County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Santa Fe County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. New Mexico, 2010 Census American Indian

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Bernalillo County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Rio Arriba County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Union County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Los Alamos County 2010 Census Edges

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Dona Ana County 1990 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was...

  13. San Miguel County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Chaves County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Sierra County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Torrance County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Los Alamos County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. McKinley County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. De Baca County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. San Juan County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Dona Ana County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Santa Fe County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Rio Arriba County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Dona Ana County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Santa Fe County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. De Baca County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. San Juan County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. San Miguel County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. McKinley County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. San Juan County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. De Baca County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Dona Ana County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. San Miguel County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Rio Arriba County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. McKinley County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Santa Fe County 2010 Census Blocks

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. De Baca County 1990 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was...

  18. Dona Ana County 1990 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set is a vector polygon digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was...

  19. Rio Arriba County 2010 Census Tracts

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Eddy County 2010 Census Block Groups

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Los Alamos County 2010 Census Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Region 9 2010 Census Web Service

    Data.gov (United States)

    U.S. Environmental Protection Agency — This web service displays data collected during the 2010 U.S. Census. The data are organized into layers representing Tract, Block, and Block Group visualizations....

  3. Distributed Transforms for Efficient Data Gathering in Sensor Networks

    Science.gov (United States)

    Ortega, Antonio (Inventor); Narang, Sunil K. (Inventor); Shen, Godwin (Inventor); Perez-Trufero, Javier (Inventor)

    2014-01-01

    Devices, systems, and techniques for data collecting network such as wireless sensors are disclosed. A described technique includes detecting one or more remote nodes included in the wireless sensor network using a local power level that controls a radio range of the local node. The technique includes transmitting a local outdegree. The local outdegree can be based on a quantity of the one or more remote nodes. The technique includes receiving one or more remote outdegrees from the one or more remote nodes. The technique includes determining a local node type of the local node based on detecting a node type of the one or more remote nodes, using the one or more remote outdegrees, and using the local outdegree. The technique includes adjusting characteristics, including an energy usage characteristic and a data compression characteristic, of the wireless sensor network by selectively modifying the local power level and selectively changing the local node type.

  4. Adaptive Data Gathering in Mobile Sensor Networks Using Speedy Mobile Elements

    Directory of Open Access Journals (Sweden)

    Yongxuan Lai

    2015-09-01

    Full Text Available Data gathering is a key operator for applications in wireless sensor networks; yet it is also a challenging problem in mobile sensor networks when considering that all nodes are mobile and the communications among them are opportunistic. This paper proposes an efficient data gathering scheme called ADG that adopts speedy mobile elements as the mobile data collector and takes advantage of the movement patterns of the network. ADG first extracts the network meta-data at initial epochs, and calculates a set of proxy nodes based on the meta-data. Data gathering is then mapped into the Proxy node Time Slot Allocation (PTSA problem that schedules the time slots and orders, according to which the data collector could gather the maximal amount of data within a limited period. Finally, the collector follows the schedule and picks up the sensed data from the proxy nodes through one hop of message transmissions. ADG learns the period when nodes are relatively stationary, so that the collector is able to pick up the data from them during the limited data gathering period. Moreover, proxy nodes and data gathering points could also be timely updated so that the collector could adapt to the change of node movements. Extensive experimental results show that the proposed scheme outperforms other data gathering schemes on the cost of message transmissions and the data gathering rate, especially under the constraint of limited data gathering period.

  5. Personalised Information Gathering and Recommender Systems: Techniques and Trends

    Directory of Open Access Journals (Sweden)

    Xiaohui Tao

    2013-02-01

    Full Text Available With the explosive growth of resources available through the Internet, information mismatching and overload have become a severe concern to users.Web users are commonly overwhelmed by huge volume of information and are faced with the challenge of finding the most relevant and reliable information in a timely manner. Personalised information gathering and recommender systems represent state-of-the-art tools for efficient selection of the most relevant and reliable information resources, and the interest in such systems has increased dramatically over the last few years. However, web personalization has not yet been well-exploited; difficulties arise while selecting resources through recommender systems from a technological and social perspective. Aiming to promote high quality research in order to overcome these challenges, this paper provides a comprehensive survey on the recent work and achievements in the areas of personalised web information gathering and recommender systems. The report covers concept-based techniques exploited in personalised information gathering and recommender systems.

  6. Deference, expertise and information-gathering powers

    OpenAIRE

    Chan, C

    2012-01-01

    This article explores two questions. First, in adjudicating claims under the Human Rights Act 1998, should the court defer to the executive or legislature on the ground that the latter two institutions possess superior expertise or information-gathering powers, when such expertise or powers fail to generate persuasive first-order reasons for the court? This article argues that rationality requires courts to defer on these second-order grounds of institutional capacity in situations of judicia...

  7. Agent Strategy Data Gathering for Long WSN

    Directory of Open Access Journals (Sweden)

    Ahmad Sardouk

    2010-09-01

    Full Text Available The main goal of wireless sensor networks (WSN is to gather information from the regions of interestthrough a large number of micro sensor nodes. This gathering is traditionally done by using aclient/server communication approach. However, this communication architecture consumes a lot ofpower and does not take into consideration the information properties. In this paper, we propose a datagathering scheme for WSNs, based on agents cooperation to deal with the importance of the information.This agent cooperation aims to reduce an important amount of the information communicated over thenetwork by eliminating the unimportant information and the inter-sensor-nodes redundancy. Thiscooperation is empowered by an agent strategy taking into account several parameters related to thenode and to the instance of communication for an optimized power management. Successive simulationsproved, in large scale WSNs and different densities, the ability of the proposed gathering scheme toreduce the average power consumption of sensor nodes and hence, to extend the network life time.

  8. 1-Bit Compressive Data Gathering for Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Jiping Xiong

    2014-01-01

    Full Text Available Compressive sensing (CS has been widely used in wireless sensor networks for the purpose of reducing the data gathering communication overhead in recent years. In this paper, we firstly apply 1-bit compressive sensing to wireless sensor networks to further reduce the communication overhead that each sensor needs to send. Furthermore, we propose a novel blind 1-bit CS reconstruction algorithm which outperforms other state-of-the-art blind 1-bit CS reconstruction algorithms under the settings of WSN. Experimental results on real sensor datasets demonstrate the efficiency of our method.

  9. Optimizing census geography: the separation of collection and output geographies.

    Science.gov (United States)

    Martin, D

    1998-01-01

    "This paper reviews the changing way in which census geography has been treated with the increasing automation of census data processing. A four-stage model of modern census geography development is presented. In the context of this model, current practice is reviewed, and new opportunities for automated census geography design presented, culminating in a current prototype for the separation of purpose-designed data collection and output geographies. The narrative is presented primarily from a British perspective, but focuses on internationally relevant issues such as the implementation of census geography design, and the influence of census output geography on data analysis." PMID:12294535

  10. Method for gathering and summarizing internet information

    Science.gov (United States)

    Potok, Thomas E.; Elmore, Mark Thomas; Reed, Joel Wesley; Treadwell, Jim N.; Samatova, Nagiza Faridovna

    2008-01-01

    A computer method of gathering and summarizing large amounts of information comprises collecting information from a plurality of information sources (14, 51) according to respective maps (52) of the information sources (14), converting the collected information from a storage format to XML-language documents (26, 53) and storing the XML-language documents in a storage medium, searching for documents (55) according to a search query (13) having at least one term and identifying the documents (26) found in the search, and displaying the documents as nodes (33) of a tree structure (32) having links (34) and nodes (33) so as to indicate similarity of the documents to each other.

  11. Gathering algorithms on paths under interference constraints

    OpenAIRE

    Bermond, Jean-Claude; Correa, Ricardo; Yu, Min-Li

    2006-01-01

    International audience We study the problem of gathering information from the nodes of a multi-hop radio network into a pre-determined destination node under interference constraints which are modeled by an integer d 1, so that any node within distance d of a sender cannot receive calls from any other sender. A set of calls which do not interfere with each other is referred to as a round. We give algorithms and lower bounds on the minimum number of rounds for this problem, when the network...

  12. Method for gathering and summarizing internet information

    Energy Technology Data Exchange (ETDEWEB)

    Potok, Thomas E.; Elmore, Mark Thomas; Reed, Joel Wesley; Treadwell, Jim N.; Samatova, Nagiza Faridovna

    2010-04-06

    A computer method of gathering and summarizing large amounts of information comprises collecting information from a plurality of information sources (14, 51) according to respective maps (52) of the information sources (14), converting the collected information from a storage format to XML-language documents (26, 53) and storing the XML-language documents in a storage medium, searching for documents (55) according to a search query (13) having at least one term and identifying the documents (26) found in the search, and displaying the documents as nodes (33) of a tree structure (32) having links (34) and nodes (33) so as to indicate similarity of the documents to each other.

  13. System for gathering and summarizing internet information

    Energy Technology Data Exchange (ETDEWEB)

    Potok, Thomas E.; Elmore, Mark Thomas; Reed, Joel Wesley; Treadwell, Jim N.; Samatova, Nagiza Faridovna

    2006-07-04

    A computer method of gathering and summarizing large amounts of information comprises collecting information from a plurality of information sources (14, 51) according to respective maps (52) of the information sources (14), converting the collected information from a storage format to XML-language documents (26, 53) and storing the XML-language documents in a storage medium, searching for documents (55) according to a search query (13) having at least one term and identifying the documents (26) found in the search, and displaying the documents as nodes (33) of a tree structure (32) having links (34) and nodes (33) so as to indicate similarity of the documents to each other.

  14. Network Coding Protocols for Data Gathering Applications

    DEFF Research Database (Denmark)

    Nistor, Maricica; Roetter, Daniel Enrique Lucani; Barros, João

    2015-01-01

    Tunable sparse network coding (TSNC) with various sparsity levels of the coded packets and different feedback mechanisms is analysed in the context of data gathering applications in multi-hop networks. The goal is to minimize the completion time, i.e., the total time required to collect all data...... packets from the nodes while maintaining the per packet overhead at a minimum. We exploit two types of feedback, (1) the explicit feedback sent deliberately between nodes and (2) the implicit feedback emerged when a node hears its neighbour transmissions. Analytical bounds for a line network are derived...

  15. Colfax County 1990 Census Subcounty Areas

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This dataset is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO 7.0.3

  16. Otero County 1990 Census Subcounty Areas

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This dataset is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO 7.0.3

  17. Sierra County 1990 Census Subcounty Areas

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This dataset is a vector digital data structure taken from the Census Bureau's TIGER/Line Files, 1994, for New Mexico. The source software used was ARC/INFO 7.0.3

  18. 39th annual Reed rig census

    International Nuclear Information System (INIS)

    This paper reports on cutbacks in U.S. exploration and development drilling during the first half of 1991 which squeezed most of the optimism out of the drilling industry. Just how rough the year has been is underscored by the results of this year's rig census. The number of rotary rigs available for U.S. drilling declined by only 69 units (3%) during the past 12 months. But despite those withdrawals from competition, only 66% of the remaining rigs were working at the time the census was taken. Results of the 1991 census contrasted sharply with the stability and optimism that seemed apparent a year ago when 72% of the available rig fleet met the census definition of active. At that time, the mini-boom in horizontal drilling coupled with tax-credit- driven gas drilling led to a relatively high rig utilization rate and suggested that rig supply and demand might be close to an economically acceptable balance. However, it quickly became apparent in early 1991 that industry optimism was unjustified. Horizontal drilling began to drop and the lowest natural gas prices in 12 years triggered rapid declines in gas drilling. Although oil prices have been relatively stable and above $18 per bbl since January 1989, most major operators have concluded that a better return on investment can be had outside the U.S. and have drastically cut their domestic drilling budgets. These factors, combined with softened energy demand from the worldwide recession, further slowed U.S. drilling. The long awaited balance between rig supply and demand has seemingly slipped away. The 1991 Reed rig census describes an industry facing several more rough years. Details of this year's census include: The available U.S. fleet now stands at 2,251 rigs, down by 69 from the 2,320-unit total in 1990, and the lowest since 1976. Rigs meeting the census definition of active numbered 1,485, down 192 (11.4%) from the 1,677 active rigs counted a year earlier

  19. Census Tracts & Block Groups, 2004, East Baton Rouge, Louisiana

    Data.gov (United States)

    Louisiana Geographic Information Center — This is a graphical polygon dataset depicting the polygon boundaries of 107 semi-permanent census tracts and the census blocks within the Parish of East Baton...

  20. Census 2000 Urbanized Areas (CEN00UA02_2)

    Data.gov (United States)

    California Department of Resources — For Census 2000, the Census Bureau classifies as 'urban' all territory, population, and housing units located within an urbanized area (UA) or an urban cluster...

  1. Guidelines for 1991 International Piping Plover Breeding Census

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Outlined in this document are basic guidelines and methodology for the 1991 breeding census (winter census details will be discussed at a joint meeting of Piping...

  2. On Discovery of Gathering Patterns from Trajectories

    DEFF Research Database (Denmark)

    Zheng, Kai; Zheng, Yu; Yuan, Jing;

    2013-01-01

    detection algorithms implemented with bit vectors, and incremental algorithms for handling new trajectory arrivals, collectively constitute an efficient solution for this challenging task. Finally, the effectiveness of the proposed concepts and the efficiency of the approaches are validated by extensive...

  3. The Aggregate Dutch Historical Censuses. Harmonization and RDF

    NARCIS (Netherlands)

    Ashkpour, Ashkan; Meroño-Peñuela, Albert; Mandemakers, Kees

    2015-01-01

    Historical censuses have an enormous potential for research. In order to fully use this potential harmonization of these censuses is essential. During the last decades enormous efforts have been undertaken in digitizing the published aggregated outcomes of the Dutch historical censuses (1795-1971).

  4. Historical Information gathered from the Mauricii Strategikon

    Directory of Open Access Journals (Sweden)

    Sophia GYFTOPOULOU

    2013-12-01

    Full Text Available A few relevant sections  from the Strategicon of Mauricius are analyzed in order that Byzantine military tactics  be further clarified: the meaning of the word σχολὴ ; contagion (epidemic and starvation (famine threatening the soldiers when gathered together; and the potential scouting mission of heralds. Additionally certain facts provided by the treatise regarding specific military subjects are presented together, so that they can be effectively elucidated; the length of both the bowshot and the long bowshot; the exact function of the multi trenches of the ‘fossaton’ military camp; touldos (the baggage train: composition - function - etymology/origin; depotatoi (the unarmed units: recruitment – equipment - size - mission. Finally speculation on the composition of the text attempts to draw attention to the use of former treatises by the author and to the degree of his personal contribution. 

  5. 78 FR 77646 - Proposed Information Collection; Comment Request; 2014 Census Site Test

    Science.gov (United States)

    2013-12-24

    ... Census Bureau Proposed Information Collection; Comment Request; 2014 Census Site Test AGENCY: U.S. Census..., reducing the need for more costly enumerator-administered options. The 2014 Census Site Test will allow the... under consideration for the 2020 Census. To improve self- response, the Census Bureau plans to test...

  6. Nationwide Census of Institutional Repositories: Preliminary Findings

    OpenAIRE

    Markey, Karen; St. Jean, Beth; Rieh, Soo Young; Yakel, Elizabeth; Kim, Jihyun; Kim, Yong-Mi

    2007-01-01

    The MIRACLE (Making Institutional Repositories A Collaborative Learning Environment) Project is a multi-phased research project that is investigating the development of institutional repositories (IRs) in U. S. colleges and universities to identify models and best practices in the administration, technical infrastructure, access to, and preservation of repository collections. This paper features preliminary findings from the project’s first phase, a nationwide census that will reveal the exte...

  7. 40th annual Reed rig census

    International Nuclear Information System (INIS)

    This paper reports that declines characterize the 1992 rig census-in the number of available drilling rigs, in the number of active rigs, in rig utilization rate, in the number of rig owners and in industry optimism. The number of rotary rigs available for U.S. drilling fell by 255 units (11.3%) during the past 12 months, an attrition rate almost four times greater than in 1991. But despite the high attrition, only 59.7% of remaining rigs were working during the time the census was taken. Results of the 1992 census bring emphasis to an industry trend that became apparent in early 1991. The major oil companies, and many independents, continued their exodus form the U.S., and the remaining independents, which were hurt by low natural gas prices and unfavorable tax treatment of intangible drilling costs, were not able to pick u the drilling slack. Consequently, the past year has been disastrous for many U.S. drilling contractors, and the outlook for this industry segment remains bleak

  8. Notations Around the World: Census and Exploitation

    CERN Document Server

    Libbrecht, Paul

    2010-01-01

    Mathematical notations around the world are diverse. Not as much as requiring computing machines' makers to adapt to each culture, but as much as to disorient a person landing on a web-page with a text in mathematics. In order to understand better this diversity, we are building a census of notations: it should allow any content creator or mathematician to grasp which mathematical notation is used in which language and culture. The census is built collaboratively, collected in pages with a given semantic and presenting observations of the widespread notations being used in existing materials by a graphical extract. We contend that our approach should dissipate the fallacies found here and there about the notations in "other cultures" so that a better understanding of the cultures can be realized. The exploitation of the census in the math-bridge project is also presented: this project aims at taking learners "where they are in their math-knowledge" and bring them to a level ready to start engineering studies....

  9. Computers stand out at Tenth Population Census Conference.

    Science.gov (United States)

    Hearn, R L

    1985-05-01

    The 10th Population Census Conference (April 29-May 3, 1985), in Honolulu, Hawaii, featured sessions on computers, fertility and mortality estimation, population projections, and mid-decade censuses and surveys. Senior officials from 15 national statistical offices attended sessions on computers in data analysis, integrated microcomputer systems and workstations of the future, and heard presentations on automation plans for the 1990 US census and New Zealand's Department of Statistics' census operation. 5 fertility and mortality estimation papers discussed own-children fertility estimates for Japan, Korea, and Pakistan, parity progression ratios use in estimating total fertility rates, and results from the 1981 Indian census. Population projection reports included presentations on 1) number and characteristics of Thailand's households, 2) Hong Kong projections based on period fertility rates, 3) computer-assisted Sri Lanka projections for 1981-2001, 4) Philippine population projections, 5) cohort-component projections for Australia, 6) Malaysia projections for 1985-2000, and 7) 1981 census based population projections in Bangladesh. Special country-specific studies included papers on 1) the 1983 Korean National Migration Survey, 2) Indonesian migration, 3) Indian immigrants in the US, 4) China's 1982 census, 5) Malaysia's census publications and demographic studies, and 6) the Bangladesh Bureau of Statistics' census and survey programs. A discussion on the 1980 World Census Program, which had as its goal the quality improvement of worldwide data, led into a discussion on the activities of the US Census Bureau's International Statistical Programs Center (ISPC) for the 1990 census. The conference included a demonstration of an integrated census data processing system recently developed at ISPC, and concluded with a session on mid-decade censuses and surveys. PMID:12267276

  10. On artistic shaping of citizens’ political gatherings

    Directory of Open Access Journals (Sweden)

    Dimić Zoran

    2013-01-01

    Full Text Available Following the new reading of Kant’s third critique, which was proposed by Hannah Arendt in her Lectures on Kant’s Political Philosophy, in this paper, the author deals with the function of art in the establishment, organization and profiling of political communities. The focus is primarily on the field of music. The analysis begins with ancient philosophers (Pythagoras, Plato, Aristotle and continues with the problems which relate to artistic shaping of citizens’ lives in modern epoch (Rousseau, Kant, Schiller. The goal of the paper is to show that the philosophy of art and the philosophy of music, could be taken as a political philosophy, precisely because the analysis of these phenomena constantly convinces a close intertwining of politics and aesthetics, i.e. art and power, music and power. As a conclusion, we might say that a general aesthetic sense can be seen as a kind of human organ for public aesthetic gathering of citizens. Music, poetry, visual arts, etc., have become tools for the political shaping of citizens, i.e. the tools of their political life.

  11. Receivers Gather Data for Climate, Weather Prediction

    Science.gov (United States)

    2012-01-01

    Signals from global positioning system (GPS) satellites are now being used for more than just location and navigation information. By looking at the radio waves from GPS satellites, a technology developed at NASA s Jet Propulsion Laboratory (JPL) not only precisely calculates its position, but can also use a technique known as radio occultation to help scientists study the Earth s atmosphere and gravity field to improve weather forecasts, monitor climate change, and enhance space weather research. The University Corporation for Atmospheric Research (UCAR), a nonprofit group of universities in Boulder, Colorado, compares radio occultation to the appearance of a pencil when viewed though a glass of water. The water molecules change the path of visible light waves so that the pencil appears bent, just like molecules in the air bend GPS radio signals as they pass through (or are occulted by) the atmosphere. Through measurements of the amount of bending in the signals, scientists can construct detailed images of the ionosphere (the energetic upper part of the atmosphere) and also gather information about atmospheric density, pressure, temperature, and moisture. Once collected, this data can be input into weather forecasting and climate models for weather prediction and climate studies. Traditionally, such information is obtained through the use of weather balloons. In 1998, JPL started developing a new class of GPS space science receivers, called Black Jack, that could take precise measurements of how GPS signals are distorted or delayed along their way to the receiver. By 2006, the first demonstration of a GPS radio occultation constellation was launched through a collaboration among Taiwan s National Science Council and National Space Organization, the U.S. National Science Foundation, NASA, the National Oceanic and Atmospheric Administration (NOAA), and other Federal entities. Called the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC

  12. A Type of Low-Latency Data Gathering Method with Multi-Sink for Sensor Networks

    Directory of Open Access Journals (Sweden)

    Chao Sha

    2016-06-01

    Full Text Available To balance energy consumption and reduce latency on data transmission in Wireless Sensor Networks (WSNs, a type of low-latency data gathering method with multi-Sink (LDGM for short is proposed in this paper. The network is divided into several virtual regions consisting of three or less data gathering units and the leader of each region is selected according to its residual energy as well as distance to all of the other nodes. Only the leaders in each region need to communicate with the mobile Sinks which have effectively reduced energy consumption and the end-to-end delay. Moreover, with the help of the sleep scheduling and the sensing radius adjustment strategies, redundancy in network coverage could also be effectively reduced. Simulation results show that LDGM is energy efficient in comparison with MST as well as MWST and its time efficiency on data collection is higher than one Sink based data gathering methods.

  13. A Type of Low-Latency Data Gathering Method with Multi-Sink for Sensor Networks.

    Science.gov (United States)

    Sha, Chao; Qiu, Jian-Mei; Li, Shu-Yan; Qiang, Meng-Ye; Wang, Ru-Chuan

    2016-01-01

    To balance energy consumption and reduce latency on data transmission in Wireless Sensor Networks (WSNs), a type of low-latency data gathering method with multi-Sink (LDGM for short) is proposed in this paper. The network is divided into several virtual regions consisting of three or less data gathering units and the leader of each region is selected according to its residual energy as well as distance to all of the other nodes. Only the leaders in each region need to communicate with the mobile Sinks which have effectively reduced energy consumption and the end-to-end delay. Moreover, with the help of the sleep scheduling and the sensing radius adjustment strategies, redundancy in network coverage could also be effectively reduced. Simulation results show that LDGM is energy efficient in comparison with MST as well as MWST and its time efficiency on data collection is higher than one Sink based data gathering methods. PMID:27338401

  14. A Type of Low-Latency Data Gathering Method with Multi-Sink for Sensor Networks

    Science.gov (United States)

    Sha, Chao; Qiu, Jian-mei; Li, Shu-yan; Qiang, Meng-ye; Wang, Ru-chuan

    2016-01-01

    To balance energy consumption and reduce latency on data transmission in Wireless Sensor Networks (WSNs), a type of low-latency data gathering method with multi-Sink (LDGM for short) is proposed in this paper. The network is divided into several virtual regions consisting of three or less data gathering units and the leader of each region is selected according to its residual energy as well as distance to all of the other nodes. Only the leaders in each region need to communicate with the mobile Sinks which have effectively reduced energy consumption and the end-to-end delay. Moreover, with the help of the sleep scheduling and the sensing radius adjustment strategies, redundancy in network coverage could also be effectively reduced. Simulation results show that LDGM is energy efficient in comparison with MST as well as MWST and its time efficiency on data collection is higher than one Sink based data gathering methods. PMID:27338401

  15. A Water Census of the United States

    Science.gov (United States)

    U.S. Geological Survey

    2007-01-01

    In 2007, the U.S. Geological Survey (USGS) developed a science strategy outlining the major natural science issues facing the Nation in the next decade. The science strategy consists of six science directions of critical importance, focusing on areas where natural science can make a substantial contribution to the well-being of the Nation and the world. This fact sheet focuses on the development of a water census of the United States, and how USGS research can strengthen the Nation with information needed to meet the challenges of the 21st century.

  16. Managing census complexity through highly integrated web systems

    OpenAIRE

    Federico Benassi; Mauro Bruno; Maura Giacummo; Marco Silipo; Giulia Vaste; Donatella Zindato

    2014-01-01

    During 2011 General Population and Housing Census methodological innovations towards the planning of a register-based census were introduced. Such innovations allowed to reach a satisfactory cost-benefit balance but increased the survey complexity and the risk of errors.Istat focus on web technologies was aimed at performing an innovative census, both in terms of methodology and costs and of data dissemination timeliness. This paper shows how a highly integrated web information system was use...

  17. The Mass Census for RESOLVE and ECO

    Science.gov (United States)

    Eckert, Kathleen D.; Kannappan, Sheila; Stark, David; Moffett, Amanda J.; Berlind, Andreas A.; Baker, Ashley; Lagos, Claudia; Norris, Mark A.; RESOLVE Team

    2016-01-01

    We quantify the stellar, baryonic, and dynamical mass census for galaxies and groups in the volume-limited RESOLVE and ECO surveys, which are complete for galaxies with baryonic mass >10^9 Msun. First, we present optimized methods of stellar and gas mass estimation based on newly reprocessed multi-wavelength imaging, deep fractional mass-limited 21cm data, and a probability density field approach to the photometric gas fractions technique. Second, we examine the stellar and baryonic mass functions for RESOLVE and ECO, including an analysis of how galaxy mass functions vary between distinct, physically motivated group halo mass regimes. These "conditional" mass functions display complex substructure suggesting that the galaxy population is shaped through satellite destruction and merging during the process of multiple-occupancy group formation. Third, we present the group-integrated stellar and baryonic mass functions and examine the cold baryon fraction of groups as a function of group halo mass. We find that group halo mass measurements based on abundance matching and dynamical mass estimates sometimes disagree, pointing to the existence of a wide range of cold baryon fractions in groups at intermediate halo mass. Finally, we provide a brief overview of RESOLVE's dynamical mass census, which relies on new 3D optical spectroscopy probing both stellar and gas kinematics. This work has been supported by the NSF through grants AST-0955368 and OCI-1156614, the NC Space Grant Graduate Research Fellowship Program, and a UNC Royster Society of Fellows Dissertation Completion Fellowship.

  18. Characteristics associated with sexual assaults at mass gatherings

    OpenAIRE

    Sampsel, Kari; Godbout, Justin; Leach, Tara; Taljaard, Monica; Calder, Lisa

    2015-01-01

    Introduction Sexual assault is disturbingly common, yet little is known about those occurring at mass gatherings, defined as a group of people congregated for a common purpose. Our objectives were to examine patterns of variation in sexual assault associated with mass gatherings and to determine factors associated with assaults occurring at mass gatherings. Methods We performed a case series analysis from January to December, 2013. We included all patients >16 years presenting within 30 days ...

  19. Slovenia and the Census: From the 20. Century Yugoslav Counts to the Register-based Census of 2011

    Directory of Open Access Journals (Sweden)

    Damir Josipovič

    2015-12-01

    Full Text Available The article critically examines censuses in the Republic of Slovenia. Owing to its Yugoslav past, the censuses after 1945 have been closely scrutinized, and the common Yugoslav census methodology had a strong influence on the 1991 and 2002 censuses. The 1991 enumeration was carried out within the Yugoslav state; however the data processing and result publishing was done under the newly independent Slovenian state. The 2002 census was the last census to be carried out using classic door-to-door enumeration, since the 2011 census was completely register-based. The paper explores censuses in Slovenia since 1991, noting numerous changes and controversies. In 2002, in contrast to 1991, the applied definition of the resident population left out some 35,000 people working temporarily abroad. In addition, the 2002 census witnessed the highest ever number of ethnically non-affiliated respondents. An even bigger controversy was related to the erasure of some 30,000 people from the register of permanent residents for failing to apply for Slovenian citizenship after the break-up of Yugoslavia. The article also briefly reviews the difficulty in addressing the status of the constitutional national minorities and other unrecognized former Yugoslav nations in a situation in which specific data on their number, social and economic structure are no longer collected.

  20. 76 FR 3081 - Proposed Information Collection; Comment Request; 2012 Economic Census Covering the Retail Trade...

    Science.gov (United States)

    2011-01-19

    ... Census Bureau Proposed Information Collection; Comment Request; 2012 Economic Census Covering the Retail... commitment during nondecennial census years. The 2012 Economic Census covering the Retail Trade and... Establishments in the Retail Trade and Accommodation and Food Services sectors of the economic census will...

  1. New Mexico Census Tracts, Households by Type (2010)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article...

  2. New Mexico Census Tracts, Housing Vacancy Status (2010)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article...

  3. New Mexico Census Tracts, Race and Hispanic Ethnicity (2010)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article...

  4. New Mexico Census Tracts, Housing Occupancy Status (2010)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The once-a-decade decennial census was conducted in April 2010 by the U.S. Census Bureau. This count of every resident in the United States was mandated by Article...

  5. Detecting disease outbreaks in mass gatherings using internet data

    DEFF Research Database (Denmark)

    Yom-Tov, Elad; Borsa, Diana; Cox, Ingemar Johansson;

    2014-01-01

    Mass gatherings, such as music festivals and religious events, pose a health care challenge because of the risk of transmission of communicable diseases. This is exacerbated by the fact that participants disperse soon after the gathering, potentially spreading disease within their communities. The...

  6. 75 FR 16078 - Reestablishment of the Census Advisory Committee of Professional Associations

    Science.gov (United States)

    2010-03-31

    ... Bureau of the Census Reestablishment of the Census Advisory Committee of Professional Associations AGENCY... succeeds the Census Advisory Committee of Professional Associations (CACPA). The charter for the CACPA... behavioral sciences, Information Technology and computing, marketing and other fields of expertise,...

  7. Design of Steam Gathering System for Menengai Geothermal Field, Kenya

    OpenAIRE

    Onyango, Stephen Odhiambo, 1980-

    2015-01-01

    Utilizing high temperature geothermal resources for power generation requires design of steam gathering system to transport geothermal fluids. The aim of this project is develop a model that can be used to optimize the steam gathering and the re-injection systems in Menengai geothermal field. The objective function includes the capital investment and the operational cost. The constraints are the steam and water velocity and the upward slope of the two phase flow pipelines. To test the model, ...

  8. Canadian census of district energy owners and operators

    International Nuclear Information System (INIS)

    There is renewed interest in finding clean, innovative solutions to address energy infrastructure challenges, while also helping to create healthy, sustainable communities as a result of the rising cost of energy, deteriorating electrical infrastructure, increasing energy demands, growing greenhouse gas emissions, and inefficient burning of fossil fuels for electricity and thermal demand. District energy (DE) contributes to a reduction in greenhouse gas emissions, provides a secure supply of energy, promotes compact urban form in new developments, enhances energy efficiency, reduces peak demands for electricity, offers long-term and flexible solutions to fuel choice options and contributes to sustainable community construction and development practices. The last inventory of Canada's DE systems was completed in the 1990s. A national survey of plant operators and owners was developed in order to contribute to updating the inventory of DE systems across Canada. This report presented the findings and results of the survey in order to prepare a national profile of DE plants of varying size, scale, age, sector and fuel types. The report provided a definition of DE and presented the methodology as well as census results. In order to enhance access to information in the DE database, raw recorded data will need to be converted into common metrics for comparison, tracking and further evaluation. refs., tabs., figs

  9. Socorro County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. New Mexico, 2010 Census Unified School District Shapefile

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Population: Census Bureau Total Estimates (2010-2012)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Total population estimates are estimates of the total number of residents living in an area on July 1 of each year. The Census Bureau’s Population Division produces...

  12. Agriculture Census of the United States - 2002 - Direct Download

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map layer portrays a selected set of information that was collected for the 2002 Census of Agriculture by the National Agricultural Statistics Service, U.S....

  13. Agriculture Census of the United States - 2007 - Direct Download

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map layer portrays a selected set of information that was collected for the 2007 Census of Agriculture by the National Agricultural Statistics Service, U.S....

  14. AFSC/NMML/CCEP: Channel Islands Pinniped Census

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The National Marine Mammal Laboratories' California Current Ecosystem Program (AFSC/NOAA) initiated and maintains census programs for California sea lions (Zalophus...

  15. Report on 1983 winter muskox census on Nunivak Island

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The 1983 winter ground census of muskox on Nunivak Island was completed between February 23 and 27, 1983. A total of 483 muskox were counted of which 364 were...

  16. Report on 1982 winter muskox census on Nunivak Island

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The 1982 winter ground census of muskox on Nunivak Island was completed between March 1, 1982 and March 4, 1982. A total of 506 muskox were counted of which 460...

  17. School Districts - MO 2010 TIGER Census Unified School Districts (SHP)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. R2 & NE Tract - 2010 Census; Housing and Population Summary

    Data.gov (United States)

    U.S. Environmental Protection Agency — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. Demographic Data - MO 2010 TIGER Census Tracts (SHP)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Los Alamos County 2010 Census County Subdivision County-based

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Taos County 2010 Census County Subdivision County-based

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Eddy County 2010 Census County Subdivision County-based

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Taos County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. New Mexico, 2010 Census County Subdivision State-based

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. San Miguel County 2010 Census County Subdivision County-based

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Demographic Data - MO 2010 Census Block Groups (SHP)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. New Mexico, 2010 Census, Primary and Secondary Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Curry County 2010 Census County Subdivision County-based

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. New Mexico, 2010 Census Block Group State-based

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Demographic Data - MO 2010 Census Urban Areas (SHP)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. R2 & NE County - 2010 Census; Housing and Population Summary

    Data.gov (United States)

    U.S. Environmental Protection Agency — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Demographic Data - MO 2010 TIGER Census Blocks (SHP)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. New Mexico, 2010 Census Block State-based

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Demographic Data - MO 2010 TIGER Census Places (SHP)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Catron County 2010 Census County Subdivision County-based

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Sierra County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Chaves County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Lea County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. Quay County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. Cibola County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. Guadalupe County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. Union County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Grant County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Bernalillo County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. Colfax County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Valencia County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. Harding County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Lincoln County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. Hidalgo County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. Mora County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Torrance County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. Otero County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. Eddy County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. Curry County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. Roosevelt County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. Catron County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Luna County 2010 Census Voting District County-based (VTD)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. HUMS: An Autonomous Moving Strategy for Mobile Sinks in Data-Gathering Sensor Networks

    OpenAIRE

    Yanzhong Bi; Limin Sun; Jian Ma; Na Li; Canfeng Chen; Imran Ali Khan

    2007-01-01

    Sink mobility has attracted much research interest in recent years because it can improve network performance such as energy efficiency and throughput. An energy-unconscious moving strategy is potentially harmful to the balance of the energy consumption among sensor nodes so as to aggravate the hotspot problem of sensor networks. In this paper, we propose an autonomous moving strategy for the mobile sinks in data-gathering applications. In our solution, a mobile sink approaches the nodes with...

  19. Dyad and Triad Census Analysis of Crisis Communication Network

    OpenAIRE

    2013-01-01

    have been found very useful in analyzing structural properties of social networks. This study aims to explore crisis communication network by following dyad and triad census analysis approach to investigate the association of mi- cro-level communication patterns with organizational crisis. This study further tests hypothesis related to the process of data generation and tendency of the structural pattern of transitivity using dyad and triad census output. The changing communication networ...

  20. A Census of Marine Biodiversity Knowledge, Resources, and Future Challenges

    OpenAIRE

    Costello, Mark John; Coll, Marta; Danovaro, Roberto; Halpin, Pat; Ojaveer, Henn; Miloslavich, Patricia

    2010-01-01

    The Census of Marine Life (2000–2010) was the largest global research programme on marine biodiversity. This paper integrated the findings of reviews of major world regions by the Census and provides a global perspective on what is known and what are the major scientific gaps. Study metrics were regional species richness, numbers of endemic and alien species, numbers of species identification guides and taxonomic experts, and a state-of-knowledge index. The threats to biodiversity were classi...

  1. Fire fatalities among children: an analysis across Philadelphia's census tracts.

    OpenAIRE

    Shai, Donna; Lupinacci, Paul

    2003-01-01

    OBJECTIVE: This study investigates the possible causes of high levels of residential fire deaths to children younger than 15 years of age in Philadelphia from 1989 to 2000. METHODS: The authors analyzed 246 deaths from 146 residential fires by census tract in Philadelphia using both individual level data and aggregate level data drawn from the records of the Fire Marshall's Office. Death rates by age and sex were calculated using the 1990 Census. Data on fires from official records were combi...

  2. Developing Official Stochastic Population Forecasts at the US Census Bureau

    OpenAIRE

    Long, John F.; Hollmann, Frederick W.

    2004-01-01

    The U.S. Census Bureau is approaching a critical decision regarding a major facet of its methodology for forecasting the United States population. In the past, it has relied on alternative scenarios, low, medium, and high, to reflect varying interpretations of current trends in fertility, mortality, and international migration to forecast population. This approach has limitations that have been noted in the recent literature on population forecasting. Census Bureau researchers ...

  3. A linguistic and gender approach to 1841 Tuscany population Census

    OpenAIRE

    Sassi, Manuela; Biagioni, Stefania; Pardelli, Gabriella

    2013-01-01

    The Census of 1841 in Tuscany was first official data registry which tried to describe Tuscan population as a whole on granducal basis. With the use of special ad hoc created forms all demographic and socioeconomic characteristics of families and single persons in ?Granducato di Toscana? were described. These data of Census, now kept by the State Archive of Florence , supply a precious source for studies of all different aspects of the population and include following information: name, surna...

  4. Digit preference in Nigerian censuses data of 1991 and 2006

    Directory of Open Access Journals (Sweden)

    Tukur Dahiru

    2013-06-01

    Full Text Available Background: censuses in developing countries are prone to errors of age misreporting due to ignorance, low literacy levels and other social, economic and cultural factors. Ages are commonly rounded with great affinity for 0 or 5. This tendency to digit preference and/or avoidance results in age heaping or concentration of ages at certain digits. This study examined the extent of digit preference in the Nigerian census data of 1991 and 2006.Methods: this study utilized age data from the 1991 and 2006 Nigerian censuses reported in single years. The Whipple and Myers indices were used to determine the extent of digit preference.Results: both the 1991 and 2006 census data showed the expected pattern of errors, with Whipple and Myers indices being beyond acceptable levels. The Whipple index for 1991 and 2006 was 293 and 251 respectively, while the Myers index was 62.3 and 67.1 respectively. There was a strong preference for terminal digits 0 and 5, followed by 8 whereas terminal digits 1 and 9 were strongly avoided.Conclusions: the quality of age data in Nigerian census data is poor as a result of misreporting and no significant improvement or difference was observed between 1991 and 2006 censuses.

  5. Coverage statistics for sequence census methods

    Directory of Open Access Journals (Sweden)

    Evans Steven N

    2010-08-01

    Full Text Available Abstract Background We study the statistical properties of fragment coverage in genome sequencing experiments. In an extension of the classic Lander-Waterman model, we consider the effect of the length distribution of fragments. We also introduce a coding of the shape of the coverage depth function as a tree and explain how this can be used to detect regions with anomalous coverage. This modeling perspective is especially germane to current high-throughput sequencing experiments, where both sample preparation protocols and sequencing technology particulars can affect fragment length distributions. Results Under the mild assumptions that fragment start sites are Poisson distributed and successive fragment lengths are independent and identically distributed, we observe that, regardless of fragment length distribution, the fragments produced in a sequencing experiment can be viewed as resulting from a two-dimensional spatial Poisson process. We then study the successive jumps of the coverage function, and show that they can be encoded as a random tree that is approximately a Galton-Watson tree with generation-dependent geometric offspring distributions whose parameters can be computed. Conclusions We extend standard analyses of shotgun sequencing that focus on coverage statistics at individual sites, and provide a null model for detecting deviations from random coverage in high-throughput sequence census based experiments. Our approach leads to explicit determinations of the null distributions of certain test statistics, while for others it greatly simplifies the approximation of their null distributions by simulation. Our focus on fragments also leads to a new approach to visualizing sequencing data that is of independent interest.

  6. 77 FR 13532 - Proposed Information Collection; Comment Request; 2012 National Census Test

    Science.gov (United States)

    2012-03-07

    ... Census Bureau Proposed Information Collection; Comment Request; 2012 National Census Test AGENCY: U.S... INFORMATION: I. Abstract The Census Bureau must conduct a series of research projects and tests throughout... Decennial Census questionnaire on the Internet. One of the first tests to support this planning effort...

  7. A census of fishes and everything they eat: How the census of marine life advanced fisheries science

    Science.gov (United States)

    O'Dor, Ron; Boustany, Andre M.; Chittenden, Cedar M.; Costello, Mark J.; Moustahfid, Hassan; Payne, John; Steinke, Dirk; Stokesbury, Michael J. W.; Vanden Berghe, Edward

    2012-01-01

    The Census of Marine Life was a 10-year, international research effort to explore poorly known ocean habitats and conduct large-scale experimentation with new technology. The goal of Census 2010 in its mission statement was to describe what did live in the oceans, what does live in the oceans, and what will live in the ocean. Many of the findings and techniques from census research may prove valuable in making a transition, which many governments have publicly endorsed, from single-species fisheries management to more holistic ecosystem management. Census researchers sampled continental margins, mid-Atlantic ridges, ocean floor vents and seeps, and abyssal plains and polar seas and organized massive amounts of past and new information in a public online database called the Ocean Biogeographic Information System (www.iobis.org). The census described and categorized seamount biology worldwide for its vulnerability to fishing, advanced large-scale animal tracking with acoustic arrays and satellite archival tags, and accelerated species identification, including nearshore, coral reef, and zooplankton sampling using genetic barcoding and pyrotag sequencing for microbes and helped to launch the exciting new field of marine environmental history. Above all, the census showed the value of investing in large-scale, collaborative projects and sharing results publicly.

  8. Demographic Data - CENSUS_BLCKGRPS_TIGER00_POPDENS_IN: Indiana Population Density 2000 (U.S. Census Bureau, 1:100,000, Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — CENSUS_BLCKGRPS_TIGER00_POPDENS_IN contains populaton densities calculated for all Indiana blockgroups identified by the US Bureau of the Census. Data is from U.S....

  9. Geographic Place Names, Polygonal boundaries for the Census Incorporated and Designated Places for the 2000 Census of Arizona, Published in 2002, Arizona State Land Department.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Geographic Place Names dataset as of 2002. It is described as 'Polygonal boundaries for the Census Incorporated and Designated Places for the 2000 Census of...

  10. The Gathering Problem for Two Oblivious Robots with Unreliable Compasses

    CERN Document Server

    Izumi, Taisuke; Katayama, Yoshiaki; Inuzuka, Nobuhiro; Défago, Xavier; Wada, Koichi; Yamashita, Masafumi

    2011-01-01

    Anonymous mobile robots are often classified into synchronous, semi-synchronous and asynchronous robots when discussing the pattern formation problem. For semi-synchronous robots, all patterns formable with memory are also formable without memory, with the single exception of forming a point (i.e., the gathering) by two robots. However, the gathering problem for two semi-synchronous robots without memory is trivially solvable when their local coordinate systems are consistent, and the impossibility proof essentially uses the inconsistencies in their coordinate systems. Motivated by this, this paper investigates the magnitude of consistency between the local coordinate systems necessary and sufficient to solve the gathering problem for two oblivious robots under semi-synchronous and asynchronous models. To discuss the magnitude of consistency, we assume that each robot is equipped with an unreliable compass, the bearings of which may deviate from an absolute reference direction, and that the local coordinate s...

  11. HUMS: An Autonomous Moving Strategy for Mobile Sinks in Data-Gathering Sensor Networks

    Directory of Open Access Journals (Sweden)

    Yanzhong Bi

    2007-06-01

    Full Text Available Sink mobility has attracted much research interest in recent years because it can improve network performance such as energy efficiency and throughput. An energy-unconscious moving strategy is potentially harmful to the balance of the energy consumption among sensor nodes so as to aggravate the hotspot problem of sensor networks. In this paper, we propose an autonomous moving strategy for the mobile sinks in data-gathering applications. In our solution, a mobile sink approaches the nodes with high residual energy to force them to forward data for other nodes and tries to avoid passing by the nodes with low energy. We performed simulation experiments to compare our solution with other three data-gathering schemes. The simulation results show that our strategy cannot only extend network lifetime notably but also provides scalability and topology adaptability.

  12. MAC Protocol for Data Gathering in Wireless Sensor Networks with the Aid of Unmanned Aerial Vehicles

    Directory of Open Access Journals (Sweden)

    VLADUTA, A.-V.

    2016-05-01

    Full Text Available Data gathering in wireless sensor networks by employing unmanned aerial vehicles has been a subject of real interest in the recent years. While drones are seen as an efficient method of data gathering in almost any environment, wireless sensor networks are the key elements for generating data because they have low dimensions, improved flexibility, decreased power consumption and costs. This paper addresses the communication at the Medium Access Control (MAC layer between static deployed sensors and a moving drone whose unique role is to collect data from all sensors on its path. The most important part of the proposed protocol consists of prioritizing the sensors in such a manner that each of them has a fair chance to communicate with the drone. Simulations are performed in NS-2 and results demonstrate the capabilities of the proposed protocol.

  13. Psychosocial effects of perceived emotional synchrony in collective gatherings.

    Science.gov (United States)

    Páez, Dario; Rimé, Bernard; Basabe, Nekane; Wlodarczyk, Anna; Zumeta, Larraitz

    2015-05-01

    In a classic theory, Durkheim (1912) predicted that because of the social sharing of emotion they generate, collective gatherings bring participants to a stage of collective effervescence in which they experience a sense of union with others and a feeling of empowerment accompanied by positive affect. This would lead them to leave the collective situation with a renewed sense of confidence in life and in social institutions. A century after Durkheim's predictions of these effects, though, they remained untested as a whole. This article reports 4 studies, 2 correlational, 1 semilongitudinal, and 1 experimental, assessing the positive effects of participation in either positively valenced (folkloric marches) or negatively valenced (protest demonstrations) collective gatherings. Results confirmed that collective gatherings consistently strengthened collective identity, identity fusion, and social integration, as well as enhancing personal and collective self-esteem and efficacy, positive affect, and positive social beliefs among participants. In line with a central tenet of the theory, emotional communion, or perceived emotional synchrony with others mediated these effects. Higher perceived emotional synchrony was associated with stronger emotional reactions, stronger social support, and higher endorsement of social beliefs and values. Participation in symbolic collective gatherings also particularly reinforced identity fusion when perceived emotional synchrony was high. The respective contributions of perceived emotional synchrony and flow, or optimal experience, were also assessed. Whereas perceived emotional synchrony emerged as strongly related to the various social outcomes, flow was observed to be related first to collective efficacy and self-esteem, and thus, to encompass mainly empowerment effects. PMID:25822033

  14. Reaction Diffusion and Chemotaxis for Decentralized Gathering on FPGAs

    Directory of Open Access Journals (Sweden)

    Bernard Girau

    2009-01-01

    and rapid simulations of the complex dynamics of this reaction-diffusion model. Then we describe the FPGA implementation of the environment together with the agents, to study the major challenges that must be solved when designing a fast embedded implementation of the decentralized gathering model. We analyze the results according to the different goals of these hardware implementations.

  15. Efficacy of Montessori Education in Attention Gathering Skill of Children

    Science.gov (United States)

    Yildirim Dogru, S. Sunay

    2015-01-01

    The aim of this study is to evaluate the efficacy of Montessori education which is offered to upskill the attention gathering skill of children with attention-deficit/hyperactivity disorder. In total fifteen pre-schooler participants, six girls and nine boys who are diagnosed with ADHD (7 of the children with ADHD, 8 with only AD), joined to this…

  16. Industry Leaders Gather at China Travel Innovation Summit

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    China’s top travel professionals gathered in Beijing on May 12-13 to identify opportunities and discuss trends in the country’s travel market, which remains the world’s most rapidly emerging even asthe world economy faces huge challenges.

  17. Campaign to gather medical devices containing radium: results

    International Nuclear Information System (INIS)

    Campaign to gather medical devices containing radium: results. On December 1, 1999, at the request of the French Health Ministry, OPRI and ANDRA launched a campaign to gather medical devices containing radium, formerly used in brachytherapy. This campaign addressed a public health issue because of the risks actually involved in a careless handling of these objects. Moreover the growing number of reported scattered radium medical devices in the last few years reinforced the necessity of the campaign. The gathering was initiated by a call of the owners (hospitals, caring centers, retired doctors or their heirs) to a toll free number. OPRI or ANDRA then appreciated the situation urgency. Priority was given to private people because most of them did not have suitable storage facilities. OPRI teams operated according a strict protocol guaranteeing their own safety, proper procedures and compliance with transport regulations for radioactive materials. 517 objects amounting to an activity of 1.32 x 1011 Bq have been gathered in 90 operations. Properly packaged they were transported to and safely stored at the CEA Saclay site before their permanent storage in the ANDRA facilities. (author)

  18. Using On-Line Bulletin Boards to Gather Preliminary Information

    Science.gov (United States)

    Kelley, Kathleen; Govindasamy, Ramu; Hyde, Jeffrey

    2012-01-01

    Internet bulletin-board sessions can be used to collect preliminary, qualitative data. This method allows Extension personnel to gather responses from stakeholders about potential programming, consumer needs and desires, and preference for program delivery method without assembling participants in one location. Several other advantages exist,…

  19. Winter Ridge HA Wild Horse Gather and Removal Plan

    OpenAIRE

    United States Department of the Interior, Bureau of Land Management

    2011-01-01

    The Winter Ridge HA encompasses approximately 46,500 acres of public and private land, within Grand and Uintah Counties in Utah. The HA is approximately 90 miles south of Vernal, Utah. The BLM has prepared an environmental assessment (EA) to analyze the environmental impacts associated with the gather and removal; refer to DOI-BLM-UT-010-2010-0208.

  20. Camp stability predicts patterns of hunter–gatherer cooperation

    Science.gov (United States)

    2016-01-01

    Humans regularly cooperate with non-kin, which has been theorized to require reciprocity between repeatedly interacting and trusting individuals. However, the role of repeated interactions has not previously been demonstrated in explaining real-world patterns of hunter–gatherer cooperation. Here we explore cooperation among the Agta, a population of Filipino hunter–gatherers, using data from both actual resource transfers and two experimental games across multiple camps. Patterns of cooperation vary greatly between camps and depend on socio-ecological context. Stable camps (with fewer changes in membership over time) were associated with greater reciprocal sharing, indicating that an increased likelihood of future interactions facilitates reciprocity. This is the first study reporting an association between reciprocal cooperation and hunter–gatherer band stability. Under conditions of low camp stability individuals still acquire resources from others, but do so via demand sharing (taking from others), rather than based on reciprocal considerations. Hunter–gatherer cooperation may either be characterized as reciprocity or demand sharing depending on socio-ecological conditions. PMID:27493770

  1. Archaeogenetics of Africa and of the African hunter-gatherers

    Czech Academy of Sciences Publication Activity Database

    Černý, Viktor; Pereira, L.

    Oxford : Oxford University Press, 2014 - (Cummings, V.; Jordan, P.; Zvelebil, M.), s. 1143-1162 ISBN 978-0-19-955122-4. - (Oxford handbooks in archaeology) R&D Projects: GA ČR GA13-37998S Institutional support: RVO:67985912 Keywords : archaeogenetics * Africa * hunter-gatherers Subject RIV: AC - Archeology, Anthropology , Ethnology

  2. CENSUS OF THE POPULATION, BUILDINGS AND HOUSING IN SWITZERLAND

    CERN Multimedia

    Relation with the Host States Service; Tel. 72848

    2000-01-01

    A census of the population, buildings and housing is to be conducted on the whole territory of the Swiss Confederation on 5 December 2000. For this purpose, those residing in Switzerland will receive a personal questionnaire at their place of residence plus a questionnaire on buildings and housing if they own real estate in Switzerland. The Swiss Permanent Mission to the International Organizations in Geneva has requested CERN to invite members of its personnel to complete these questionnaires and either to hand them to the census agents when they call at their places of residence on 5 December 2000 or to post them to the address indicated on the questionnaire.

  3. A stellar census of the Tucana-Horologium moving group

    Energy Technology Data Exchange (ETDEWEB)

    Kraus, Adam L. [Department of Astronomy, The University of Texas at Austin, Austin, TX 78712 (United States); Shkolnik, Evgenya L. [Lowell Observatory, 1400 West Mars Hill Road, Flagstaff, AZ 86001 (United States); Allers, Katelyn N. [Department of Physics and Astronomy, Bucknell University, Lewisburg, PA 17837 (United States); Liu, Michael C. [Institute for Astronomy, University of Hawaii at Manoa, 2680 Woodlawn Drive, Honolulu, HI 96822 (United States)

    2014-06-01

    We report the selection and spectroscopic confirmation of 129 new late-type (SpT = K3-M6) members of the Tucana-Horologium moving group, a nearby (d ∼ 40 pc), young (τ ∼ 40 Myr) population of comoving stars. We also report observations for 13 of the 17 known Tuc-Hor members in this spectral type range, and that 62 additional candidates are likely to be unassociated field stars; the confirmation frequency for new candidates is therefore 129/191 = 67%. We have used radial velocities, Hα emission, and Li{sub 6708} absorption to distinguish between contaminants and bona fide members. Our expanded census of Tuc-Hor increases the known population by a factor of ∼3 in total and by a factor of ∼8 for members with SpT ≥ K3, but even so, the K-M dwarf population of Tuc-Hor is still markedly incomplete. Our expanded census allows for a much more detailed study of Tuc-Hor than was previously feasible. The spatial distribution of members appears to trace a two-dimensional sheet, with a broad distribution in X and Y, but a very narrow distribution (±5 pc) in Z. The corresponding velocity distribution is very small, with a scatter of ±1.1 km s{sup –1} about the mean UVW velocity for stars spanning the entire 50 pc extent of Tuc-Hor. We also show that the isochronal age (τ ∼ 20-30 Myr) and the lithium depletion boundary age (τ ∼ 40 Myr) disagree, following the trend in other pre-main-sequence populations for isochrones to yield systematically younger ages. The Hα emission line strength follows a trend of increasing equivalent width with later spectral type, as is seen for young clusters. We find that moving group members have been depleted of measurable lithium for spectral types of K7.0-M4.5. None of our targets have significant infrared excesses in the WISE W3 band, yielding an upper limit on warm debris disks of F < 0.7%. Finally, our purely kinematic and color-magnitude selection procedure allows us to test the efficiency and completeness for activity

  4. Engineering considerations for corrosion monitoring of gas gathering pipeline systems

    Energy Technology Data Exchange (ETDEWEB)

    Braga, T.G.; Asperger, R.G.

    1987-01-01

    Proper corrosion monitoring of gas gathering pipelines requires a system review to determine the appropriate monitor locations and types of monitoring techniques. This paper develops and discusses a classification of conditions such as flow regime and gas composition. Also discussed are junction categories which, for corrosion monitoring, need to be considered from two points of view. The first is related to fluid flow in the line and the second is related corrosion inhibitor movement along the pipeline. The appropriate application of the various monitoring techniques such as coupons, hydrogen detectors, electrical resistance probe and linear polarization probes are discussed in relation to flow regime and gas composition. Problems caused by semi-conduction from iron sulfide are considered. Advantages and disadvantages of fluid gathering methods such as pots and flow-through drips are discussed in relation to their reliability as on-line monitoring locations.

  5. Young Children's Help-Seeking as Active Information Gathering

    Science.gov (United States)

    Vredenburgh, Christopher; Kushnir, Tamar

    2016-01-01

    Young children's social learning is a topic of great interest. Here, we examined preschoolers' (M = 52.44 months, SD = 9.7 months) help-seeking as a social information gathering activity that may optimize and support children's opportunities for learning. In a toy assembly task, we assessed each child's competency at assembling toys and the…

  6. Lake Mead Complex Final Gather Plan: Environmental Assessment

    OpenAIRE

    U.S. Department of the Interior, Bureau of Land Management, Grand Junction Field Office, Grand Junction, Colorado

    2007-01-01

    This Environmental Assessment (EA) has been prepared by the Bureau of Land Management (BLM) Las Vegas Field Office (LVFO) to analyze the environmental effects of a gather to remove approximately 195 resident wild burros from National Park Service-administered lands adjacent to the El Dorado Mountains, Gold Butte and Muddy Mountains Herd Management Areas (HMAs) within the Lake Mead Complex (LMC) in March 2007. The LMC is located in southern Nevada in Clark County. The BLM Las Vegas Field Offic...

  7. Wealth Transmission and Inequality Among Hunter-Gatherers

    OpenAIRE

    Smith, Eric Alden; Hill, Kim; Marlowe, Frank; Nolin, David; Wiessner, Polly; Gurven, Michael; Bowles, Samuel; Mulder, Monique Borgerhoff; Hertz, Tom; Bell, Adrian

    2010-01-01

    We report quantitative estimates of intergenerational transmission and population-wide inequality for wealth measures in a set of hunter-gatherer populations. Wealth is defined broadly as factors that contribute to individual or household well-being, ranging from embodied forms such as weight and hunting success to material forms such household goods, as well as relational wealth in exchange partners. Intergenerational wealth transmission is low to moderate in these populations, but is still ...

  8. Gathering and Transferring Project for Datianchi Gas Field Completed

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    @@ The surface gathering and transferring project for Datianchi structure passed the examination on May 24, signaling completion of the seven-year-old largescale natural gas transmission project. This project will provide additional 8 million cubic meters of natural gas to the markets in Sichuan-Chongqing area each day, paving the way for long-distance transmission of natural gas from this area to Jianghan plain.

  9. Hunter-Gatherers and the Origins of Religion.

    Science.gov (United States)

    Peoples, Hervey C; Duda, Pavel; Marlowe, Frank W

    2016-09-01

    Recent studies of the evolution of religion have revealed the cognitive underpinnings of belief in supernatural agents, the role of ritual in promoting cooperation, and the contribution of morally punishing high gods to the growth and stabilization of human society. The universality of religion across human society points to a deep evolutionary past. However, specific traits of nascent religiosity, and the sequence in which they emerged, have remained unknown. Here we reconstruct the evolution of religious beliefs and behaviors in early modern humans using a global sample of hunter-gatherers and seven traits describing hunter-gatherer religiosity: animism, belief in an afterlife, shamanism, ancestor worship, high gods, and worship of ancestors or high gods who are active in human affairs. We reconstruct ancestral character states using a time-calibrated supertree based on published phylogenetic trees and linguistic classification and then test for correlated evolution between the characters and for the direction of cultural change. Results indicate that the oldest trait of religion, present in the most recent common ancestor of present-day hunter-gatherers, was animism, in agreement with long-standing beliefs about the fundamental role of this trait. Belief in an afterlife emerged, followed by shamanism and ancestor worship. Ancestor spirits or high gods who are active in human affairs were absent in early humans, suggesting a deep history for the egalitarian nature of hunter-gatherer societies. There is a significant positive relationship between most characters investigated, but the trait "high gods" stands apart, suggesting that belief in a single creator deity can emerge in a society regardless of other aspects of its religion. PMID:27154194

  10. Optimal Gathering Protocols on Paths under Interference Constraints

    OpenAIRE

    Bermond, Jean-Claude; Correa, Ricardo; Yu, Min-Li

    2009-01-01

    A preliminary version has been presented at CIAC06 International audience We study the problem of gathering information from the nodes of a multi-hop radio network into a predefined destination node under reachability and interference constraints. In such a network, a node is able to send messages to other nodes within reception distance, but doing so it might create interference with other communications. Thus, a message can only be properly received if the receiver is reachable from t...

  11. Adaptive Energy-Aware Gathering Strategy for Wireless Sensor Networks

    OpenAIRE

    E M Saad; Awadalla, M. H.; R. R. Darwish

    2009-01-01

    Energy hole problem is considered one of the most severe threats in wireless sensor networks. In this paper the idea of exploiting sink mobility for the purpose of culling the energy hole problem in hierarchical large-scale wireless sensor networks based on bees algorithm is presented. In the proposed scheme, a mobile sink equipped with a powerful transceiver and battery, traverses the entire field, and periodically gathers data from network cluster heads. The mobile sink follows an adaptive ...

  12. Social Networks and Cooperation in Hunter-Gatherers

    OpenAIRE

    Apicella, Coren L.; Marlowe, Frank W.; Fowler, James H.; Christakis, Nicholas A

    2012-01-01

    Social networks exhibit striking structural regularities 1,2 , and theory and evidence suggest that they may have played a role in the development of large-scale cooperation in humans 3–7 . Here, we characterize the social networks of the Hadza, an evolutionarily relevant population of hunter-gatherers 8 . We show that Hadza networks exhibit important properties also seen in modernized networks, including a skewed degree distribution, degree assortativity, transitivity, reciprocity, geographi...

  13. Websites Most Frequently Used by Physician for Gathering Medical Information

    OpenAIRE

    De Leo, G; LeRouge, Cynthia; Ceriani, Claudia; Niederman, Fred

    2006-01-01

    Physicians’ use of the Internet to gather medical information has increased in recent years. Several studies have been conducted to explore the implications of this use on patient education, the physician-patient relationship, and diagnosis/decision making. In order to better understand the current and future implications of Internet use on patient care activities, it is important to know the Internet sources physicians prefer to consult. The objective of this study was to determine the Inter...

  14. Evolutionary history of hunter-gatherer marriage practices.

    Directory of Open Access Journals (Sweden)

    Robert S Walker

    Full Text Available BACKGROUND: The universality of marriage in human societies around the world suggests a deep evolutionary history of institutionalized pair-bonding that stems back at least to early modern humans. However, marriage practices vary considerably from culture to culture, ranging from strict prescriptions and arranged marriages in some societies to mostly unregulated courtship in others, presence to absence of brideservice and brideprice, and polyandrous to polygynous unions. The ancestral state of early human marriage is not well known given the lack of conclusive archaeological evidence. METHODOLOGY: Comparative phylogenetic analyses using data from contemporary hunter-gatherers around the world may allow for the reconstruction of ancestral human cultural traits. We attempt to reconstruct ancestral marriage practices using hunter-gatherer phylogenies based on mitochondrial DNA sequences. RESULTS: Arranged marriages are inferred to go back at least to first modern human migrations out of Africa. Reconstructions are equivocal on whether or not earlier human marriages were arranged because several African hunter-gatherers have courtship marriages. Phylogenetic reconstructions suggest that marriages in early ancestral human societies probably had low levels of polygyny (low reproductive skew and reciprocal exchanges between the families of marital partners (i.e., brideservice or brideprice. DISCUSSION: Phylogenetic results suggest a deep history of regulated exchange of mates and resources among lineages that enhanced the complexity of human meta-group social structure with coalitions and alliances spanning across multiple residential communities.

  15. 75 FR 29508 - The 2010 Census Count Question Resolution Program

    Science.gov (United States)

    2010-05-26

    ... to provide an independent adjudication. The full LUCA operation included participant review of... 13 directs the Secretary of Commerce (who delegates that responsibility to the Director of the Census... quarters population, household type, housing occupancy, and housing tenure. Group Quarters--A...

  16. Who's in the Picture: Comparing Census Data with Newspaper Coverage

    Science.gov (United States)

    Hill, Myleea D.

    2016-01-01

    Discussions of what images are portrayed in newspapers and their proportion in comparison to the actual census data provide an opportunity for consideration of how the agenda setting and framing theories of media could affect perceptions of a community and population. In the exercise described here, students are expected to learn a research skill…

  17. 76 FR 12694 - The 2010 Census Count Question Resolution Program

    Science.gov (United States)

    2011-03-08

    ... (CQR) Program (75 FR 29508). This notice provides final information concerning the CQR Program. The CQR... FR 25908). The Census Bureau received one set of comments. The comments suggested additional... States), and districts. Municipio--The primary legal subdivision of Puerto Rico (equivalent to...

  18. Grandparents Living with Grandchildren: 2000. Census 2000 Brief.

    Science.gov (United States)

    Simmons, Tavia; Dye, Jane Lawler

    This report presents information obtained from three questions on the U.S. Census 2000 long form about coresident grandparents, focusing on data from people over age 29 years. Results indicated that the percentage of coresident grandparents varied sharply by race and Hispanic origin. More than half of American Indian and Alaska Native coresident…

  19. Census of Marine Zooplankton CmarZ Information

    NARCIS (Netherlands)

    A.C. Pierrot-Bults; A. Bucklin

    2005-01-01

    The Census of Marine Zooplankton (CMarZ) will work toward a taxonomically comprehensive assessment of biodiversity of animal plankton throughout the world ocean. The project goal is to produce accurate and complete information on zooplankton species diversity, biomass, biogeographic distribution, ge

  20. Agricultural Census 2012: Publishing Mashable GIS Big Data Services

    Science.gov (United States)

    Mueller, R.

    2014-12-01

    The 2012 Agricultural Census was released by the US Department of Agriculture (USDA) on May 2nd 2014; published on a quinquennial basis covering all facets of American production agriculture. The Agricultural Census is a comprehensive source of uniform published agricultural data for every state and county in the US. This is the first Agricultural Census that is disseminated with web mapping services using REST APIs. USDA developed an open GIS mashable web portal that depicts over 250 maps on Crops and Plants, Economics, Farms, Livestock and Animals, and Operators. These mapping services written in JavaScript replace the traditional static maps published as the Ag Atlas. Web users can now visualize, interact, query, and download the Agricultural Census data in a means not previously discoverable. Stakeholders will now be able to leverage this data for activities such as community planning, agribusiness location suitability analytics, availability of loans/funds, service center locations and staffing, and farm programs and policies. Additional sites serving compatible mashable USDA Big Data web services are as follows: The Food Environment Atlas, The Atlas of Rural and Small-Town America, The Farm Program Atlas, SNAP Data System, CropScape, and VegScape. All portals use a similar data organization scheme of "Categories" and "Maps" providing interactive mashable web services for agricultural stakeholders to exploit.

  1. Does lateral transmission obscure inheritance in hunter-gatherer languages?

    Directory of Open Access Journals (Sweden)

    Claire Bowern

    Full Text Available In recent years, linguists have begun to increasingly rely on quantitative phylogenetic approaches to examine language evolution. Some linguists have questioned the suitability of phylogenetic approaches on the grounds that linguistic evolution is largely reticulate due to extensive lateral transmission, or borrowing, among languages. The problem may be particularly pronounced in hunter-gatherer languages, where the conventional wisdom among many linguists is that lexical borrowing rates are so high that tree building approaches cannot provide meaningful insights into evolutionary processes. However, this claim has never been systematically evaluated, in large part because suitable data were unavailable. In addition, little is known about the subsistence, demographic, ecological, and social factors that might mediate variation in rates of borrowing among languages. Here, we evaluate these claims with a large sample of hunter-gatherer languages from three regions around the world. In this study, a list of 204 basic vocabulary items was collected for 122 hunter-gatherer and small-scale cultivator languages from three ecologically diverse case study areas: northern Australia, northwest Amazonia, and California and the Great Basin. Words were rigorously coded for etymological (inheritance status, and loan rates were calculated. Loan rate variability was examined with respect to language area, subsistence mode, and population size, density, and mobility; these results were then compared to the sample of 41 primarily agriculturalist languages. Though loan levels varied both within and among regions, they were generally low in all regions (mean 5.06%, median 2.49%, and SD 7.56, despite substantial demographic, ecological, and social variation. Amazonian levels were uniformly very low, with no language exhibiting more than 4%. Rates were low but more variable in the other two study regions, in part because of several outlier languages where rates of

  2. TIGER/Line Shapefile, 2010, 2010 state, Oregon, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. TIGER/Line Shapefile, 2010, 2010 state, Wisconsin, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. TIGER/Line Shapefile, 2010, 2010 state, Colorado, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. TIGER/Line Shapefile, 2010, 2010 state, New Hampshire, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. TIGER/Line Shapefile, 2010, 2010 state, Connecticut, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. TIGER/Line Shapefile, 2010, 2010 state, Utah, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. TIGER/Line Shapefile, 2010, 2010 state, Alaska, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. TIGER/Line Shapefile, 2010, 2010 state, New Jersey, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. TIGER/Line Shapefile, 2010, 2010 state, Michigan, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. TIGER/Line Shapefile, 2010, 2010 state, Hawaii, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. TIGER/Line Shapefile, 2010, 2010 state, Wyoming, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. TIGER/Line Shapefile, 2010, 2010 state, Vermont, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. TIGER/Line Shapefile, 2010, 2010 state, Montana, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. TIGER/Line Shapefile, 2010, 2010 state, Indiana, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. TIGER/Line Shapefile, 2010, 2010 state, Idaho, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. TIGER/Line Shapefile, 2010, 2010 state, New Mexico, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. TIGER/Line Shapefile, 2010, 2010 state, North Dakota, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  19. TIGER/Line Shapefile, 2010, 2010 state, Massachusetts, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  20. TIGER/Line Shapefile, 2010, 2010 state, Iowa, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. TIGER/Line Shapefile, 2010, 2010 state, Delaware, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  2. TIGER/Line Shapefile, 2010, 2010 state, Nebraska, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. Social Vulnerability Index (SoVI) for Alaska based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Alaska census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  4. Social Vulnerability Index (SoVI) for South Carolina based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of South Carolina census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  5. TIGER/Line Shapefile, 2010, 2010 state, Arizona, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. Social Vulnerability Index (SoVI) for Wisconsin based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Wisconsin census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  7. TIGER/Line Shapefile, 2010, 2010 state, Louisiana, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. Social Vulnerability Index (SoVI) for Oregon based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Oregon census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  9. Census Bureau Planned Acquisition: Remotely sensed satellite and/or aerial imagery

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The Census Bureau seeks to obtain access to remotely sensed data such as high-resolution satellite and/or aerial imagery to update the boundaries, streets,...

  10. TIGER/Line Shapefile, 2010, 2010 state, Texas, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. TIGER/Line Shapefile, 2010, 2010 state, Maine, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. TIGER/Line Shapefile, 2010, 2010 state, Minnesota, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. TIGER/Line Shapefile, 2010, 2010 state, Florida, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. TIGER/Line Shapefile, 2010, 2010 state, Arkansas, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. TIGER/Line Shapefile, 2010, 2010 state, New York, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. TIGER/Line Shapefile, 2010, 2010 state, California, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. TIGER/Line Shapefile, 2010, 2010 state, Oklahoma, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  18. Social Vulnerability Index (SoVI) for Washington based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Washington census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  19. Social Vulnerability Index (SoVI) for Florida based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Florida census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  20. Social Vulnerability Index (SoVI) for Michigan based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Michigan census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  1. Social Vulnerability Index (SoVI) for Maryland based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Maryland census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  2. TIGER/Line Shapefile, 2010, 2010 state, Missouri, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. TIGER/Line Shapefile, 2010, 2010 state, North Carolina, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. TIGER/Line Shapefile, 2010, 2010 state, Kentucky, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  5. TIGER/Line Shapefile, 2010, 2010 state, Mississippi, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  6. TIGER/Line Shapefile, 2010, 2010 state, Ohio, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  7. TIGER/Line Shapefile, 2010, 2010 state, South Dakota, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  8. TIGER/Line Shapefile, 2010, 2010 state, West Virginia, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  9. TIGER/Line Shapefile, 2010, 2010 state, Virginia, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  10. TIGER/Line Shapefile, 2010, 2010 state, Washington, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. TIGER/Line Shapefile, 2010, 2010 state, Illinois, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  12. TIGER/Line Shapefile, 2010, 2010 state, Nevada, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  13. TIGER/Line Shapefile, 2010, 2010 state, Pennsylvania, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  14. TIGER/Line Shapefile, 2010, 2010 state, Tennessee, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  15. TIGER/Line Shapefile, 2010, 2010 state, Kansas, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  16. TIGER/Line Shapefile, 2010, 2010 state, Rhode Island, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  17. Social Vulnerability Index (SoVI) for Minnesota based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Minnesota census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  18. Social Vulnerability Index (SoVI) for Virginia based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Virginia census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  19. Social Vulnerability Index (SoVI) for Alabama based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Alabama census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  20. Social Vulnerability Index (SoVI) for Delaware based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Delaware census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  1. American Indian Areas Located in Region 2 (CENSUS.AM_INDIAN_AREAS_R2)

    Data.gov (United States)

    U.S. Environmental Protection Agency — There are both legal and statistical American Indian, Alaska Native, and native Hawaiian entities for which the U.S. Census Bureau provides data for Census 2000....

  2. TIGER/Line Shapefile, 2010, 2010 state, Maryland, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  3. TIGER/Line Shapefile, 2010, 2010 state, Georgia, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  4. Social Vulnerability Index (SoVI) for New Hampshire based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of New Hampshire census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  5. Social Vulnerability Index (SoVI) for North Carolina based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of North Carolina census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  6. Social Vulnerability Index (SoVI) for Maine based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Maine census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  7. Social Vulnerability Index (SoVI) for Rhode Island based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Rhode Island census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  8. Social Vulnerability Index (SoVI) for Mississippi based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Mississippi census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  9. Social Vulnerability Index (SoVI) for Hawaii based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Hawaii census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  10. TIGER/Line Shapefile, 2010, 2010 state, South Carolina, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  11. Social Vulnerability Index (SoVI) for Connecticut based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Connecticut census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  12. Social Vulnerability Index (SoVI) for Illinois based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Illinois census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  13. Social Vulnerability Index (SoVI) for New Jersey based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of New Jersey census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  14. Social Vulnerability Index (SoVI) for Pennsylvania based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Pennsylvania census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  15. Social Vulnerability Index (SoVI) for California based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of California census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  16. Social Vulnerability Index (SoVI) for Ohio based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Ohio census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  17. Social Vulnerability Index (SoVI) for New York based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of New York census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  18. Social Vulnerability Index (SoVI) for Massachusetts based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Massachusetts census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  19. Social Vulnerability Index (SoVI) for Indiana based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Indiana census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  20. TIGER/Line Shapefile, 2010, 2010 state, Alabama, 2010 Census Block State-based

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census...

  1. New Mexico 2000 Census 5-Digit ZIP Code Tabulation Area (ZCTA3)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database...

  2. TIGER/Line Shapefile, 2016, 2010 nation, U.S., 2010 Census Urban Area National

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master...

  3. TIGER/Line Shapefile, 2015, nation, U.S., Current Tribal Census Tract National Shapefile

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master...

  4. TIGER/Line Shapefile, 2015, 2010 nation, U.S., 2010 Census Urban Area National

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master...

  5. TIGER/Line Shapefile, 2016, nation, U.S., Current Tribal Census Tract National

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master...

  6. New Mexico 2000 Census 3-Digit ZIP Code Tabulation Area (ZCTA3)

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database...

  7. Social Vulnerability Index (SoVI) for Coastal States based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of coastal states census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  8. Social Vulnerability Index (SoVI) for Louisiana based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Louisiana census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  9. Social Vulnerability Index (SoVI) for Georgia based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Georgia census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  10. Social Vulnerability Index (SoVI) for Texas based on 2000 Census Block Groups

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data depicts the social vulnerability of Texas census block groups to environmental hazards. Data were culled primarily from the 2000 Decennial Census.

  11. PS1-08: The VDW Census File: Strengths, Issues, and Recommendations for the Future

    OpenAIRE

    Pardee, Roy; Doubeni, Chyke; Onega, Tracy; Carrell, David; Chen, Wansu; Miroshnik, Irina

    2010-01-01

    Background/Aims: The VDW’s Census file contains demographic and socioeconomic data not available anywhere else. This makes it a unique resource for VDW research including studies using Geographic Information Systems data. However, the extent and quality of Census file data at implementing sites has not been subjected to systematic scrutiny. The VDW Census Workgroup was formed under the auspices of the new HMORN governance of the VDW. This workgroup is charged with assessing the census file sp...

  12. Using Random Forest to Improve the Downscaling of Global Livestock Census Data.

    Directory of Open Access Journals (Sweden)

    Gaëlle Nicolas

    Full Text Available Large scale, high-resolution global data on farm animal distributions are essential for spatially explicit assessments of the epidemiological, environmental and socio-economic impacts of the livestock sector. This has been the major motivation behind the development of the Gridded Livestock of the World (GLW database, which has been extensively used since its first publication in 2007. The database relies on a downscaling methodology whereby census counts of animals in sub-national administrative units are redistributed at the level of grid cells as a function of a series of spatial covariates. The recent upgrade of GLW1 to GLW2 involved automating the processing, improvement of input data, and downscaling at a spatial resolution of 1 km per cell (5 km per cell in the earlier version. The underlying statistical methodology, however, remained unchanged. In this paper, we evaluate new methods to downscale census data with a higher accuracy and increased processing efficiency. Two main factors were evaluated, based on sample census datasets of cattle in Africa and chickens in Asia. First, we implemented and evaluated Random Forest models (RF instead of stratified regressions. Second, we investigated whether models that predicted the number of animals per rural person (per capita could provide better downscaled estimates than the previous approach that predicted absolute densities (animals per km2. RF models consistently provided better predictions than the stratified regressions for both continents and species. The benefit of per capita over absolute density models varied according to the species and continent. In addition, different technical options were evaluated to reduce the processing time while maintaining their predictive power. Future GLW runs (GLW 3.0 will apply the new RF methodology with optimized modelling options. The potential benefit of per capita models will need to be further investigated with a better distinction between rural

  13. Census Data: Geographic Significance and Classroom Utility. NCGE Pacesetters in Geography Series. No. 2.

    Science.gov (United States)

    Dent, Bordon D., Ed.

    The volume contains essays and classroom activities on a variety of U. S. and Canadian census materials. Designed to present census data in a less formidable manner than it is usually presented, it is intended for social studies teachers and college professors who want to introduce census materials in their classrooms. Essays treat various…

  14. 15 CFR 50.10 - Fee structure for special population censuses.

    Science.gov (United States)

    2010-01-01

    ... 15 Commerce and Foreign Trade 1 2010-01-01 2010-01-01 false Fee structure for special population... § 50.10 Fee structure for special population censuses. The Bureau of the Census is authorized to conduct special population censuses at the request of and at the expense of the community concerned....

  15. 76 FR 14647 - Proposed Information Collection; Comment Request; 2012 Economic Census Covering the Mining Sector

    Science.gov (United States)

    2011-03-17

    ... the general public. The 2012 Economic Census covering the Mining Sector (as defined by the North... the following conditions: (i) It must be classified in the mining sector; (ii) it must be an active.... Census Bureau Proposed Information Collection; Comment Request; 2012 Economic Census Covering the...

  16. Supporting Mongolian pastoralists by using GIS to identify grazing limitations and opportunities from livestock census and remote sensing data

    DEFF Research Database (Denmark)

    Rasmussen, Michael Schultz; James, Robert; Adiyasuren, Ts.; Khishigsuren, P.; Naranchimeg, B.; Gankhuyag, R.; Baasanjargal, B.

    Mongolian pastoralists, GIS, grazing limitations, livestock census, remote sensing, range management......Mongolian pastoralists, GIS, grazing limitations, livestock census, remote sensing, range management...

  17. Social Conventions and Human Tragedy in the Acorn Gatherer

    Institute of Scientific and Technical Information of China (English)

    SA Huan

    2016-01-01

    The Acorn-gatherer, written by Richard Jeffries gives a tragic picture of the country life in the late Victorian Age. Through the tragic life and death of the illegitimate child, Jeffries exposes the people’s oppressions and misfortunes as the result of religious moralities and social conventions. The article is to expound the essence of the boy’s human tragedy through reli-gious origins, moral alienation, and distorted ethics in addition to the contrastive interpretation between his bitter situation and the sweet nature.

  18. A multi-Agent system architecture for geographic information gathering

    Institute of Scientific and Technical Information of China (English)

    高刚毅; 王申康

    2004-01-01

    World Wide Web (WWW) is a vast repository of information, including a great deal of geographic information. But the location and retrieval of geographic information will require a significant amount of time and effort. In addition, different users usually have different views and interests in the same information. To resolve such problems, this paper first proposed a model of geographic information gathering based on multi-Agent (MA) architecture. Then based on this model, we construct a prototype system with GML (Geography Markup Language). This system consists of three tiers-Client, Web Server and Data Resource. Finally, we expatiate on the process of Web Server.

  19. Data Gathering and Personalized Broadcasting in Radio Grids with Interferences

    OpenAIRE

    Bermond, Jean-Claude; Li, Bi; Nisse, Nicolas; Rivano, Hervé; Yu, Min-Li

    2013-01-01

    In the gathering problem, a particular node in a graph, the base station, aims at receiving messages from some nodes in the graph. At each step, a node can send one message to one of its neighbor (such an action is called a call). However, a node cannot send and receive a message during the same step. Moreover, the communication is subjet to interference constraints, more precisely, two calls interfere in a step, if one sender is at distance at most dI from the other caller. Given a graph wit...

  20. Data gathering and personalized broadcasting in radio grids with interference

    OpenAIRE

    Bermond, Jean-Claude; Li, Bi; Nisse, Nicolas; Rivano, Hervé; Yu, Min-Li

    2015-01-01

    International audience In the gathering problem, a particular node in a graph, the base station , aims at receiving messages from some nodes in the graph. At each step, a node can send one message to one of its neighbors (such an action is called a call ). However, a node cannot send and receive a message during the same step. Moreover, the communication is subject to interference constraints, more precisely, two calls interfere in a step, if one sender is at distance at most dI from the o...