9 datasets found
  1. n

    Data from: Relatedness and resource diversity interact to influence the...

    • data.niaid.nih.gov
    • datadryad.org
    • +1more
    zip
    Updated Jun 21, 2013
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    Ryan A. Martin; Sara C. Garnett (2013). Relatedness and resource diversity interact to influence the intensity of competition [Dataset]. http://doi.org/10.5061/dryad.866j4
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 21, 2013
    Dataset provided by
    University of North Carolina at Chapel Hill
    Authors
    Ryan A. Martin; Sara C. Garnett
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    When resource competition occurs between close relatives the negative effects of competition are potentially amplified. However, kin selection theory predicts that natural selection should promote the evolution of mechanisms that minimize the intensity of competition between kin. Experimental tests of these hypotheses are mixed, however. Moreover, there is little consensus regarding the generality of either outcome, suggesting that the conditions important in determining the effects of competition between kin are likely complex and not fully understood. We performed two experiments using spadefoot toad tadpoles (Spea multiplicata) to evaluate the hypothesis that individuals can minimize the negative effects of exploitative competition by using alternative resources when competing with close relatives. Supporting our hypothesis, we found that only when individuals had access to alternative resources were the negative effects of competition between siblings less than between unrelated competitors. We suggest that mechanisms to lessen kin competition may be more likely to evolve in environments where alternative resources are available, and that selection to minimize exploitative competition between kin may promote the evolution of resource polyphenism.

  2. g

    Data from: TVC

    • value-benchmark.github.io
    Updated Jun 10, 2021
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    University of North Carolina at Chapel Hill (2021). TVC [Dataset]. https://value-benchmark.github.io/
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    Dataset updated
    Jun 10, 2021
    Dataset authored and provided by
    University of North Carolina at Chapel Hill
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Video captioning dataset based on 6 popular TV shows

  3. n

    NC BEAD Eligible Locations Table

    • nconemap.gov
    Updated Jun 20, 2025
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    NC OneMap / State of North Carolina (2025). NC BEAD Eligible Locations Table [Dataset]. https://www.nconemap.gov/datasets/nc-bead-eligible-locations-table
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    NC OneMap / State of North Carolina
    Area covered
    North Carolina
    Description

    Table of Broadband Serviceable Locations from version 4 of the FCC Broadband Serviceable Location dataset that are eligible for funding through the North Carolina Broadband Equity, Access, and Deployment (BEAD) program. These locations represent the unserved and underserved locations in the state after the results of the BEAD state challenge process. All locations in this table are reflected in the CostQuest Broadband Serviceable Location (BSL) dataset, version 4. Post-challenge modifications were made to remove recent enforceable commitments from the Completing Access to Broadband (CAB) state funding program, as well as to remove locations that have been removed in the most recent version of the fabric (version 6). This data table includes all fields that are required to be included in BSL tab of the project data template for any provider applying to the BEAD program during the application window. Eligible Community Anchor Institutions (CAIs) locations are not included in this table and are provided in a separate downloadable table on NC OneMap. ELIGIBLE LOCATIONS LAST UPDATED ON 7/7

  4. f

    Range of values for the national social vulnerability index.

    • plos.figshare.com
    xls
    Updated Aug 8, 2024
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    Ahmed Rachid El-Khattabi; Elsemarie Mullins; Kathyrn Obenshain (2024). Range of values for the national social vulnerability index. [Dataset]. http://doi.org/10.1371/journal.pwat.0000179.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 8, 2024
    Dataset provided by
    PLOS Water
    Authors
    Ahmed Rachid El-Khattabi; Elsemarie Mullins; Kathyrn Obenshain
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Range of values for the national social vulnerability index.

  5. s

    2024-06 SC House District 50 - Statistics (PPT).JPG

    • scdigitaldrive.org
    Updated Sep 4, 2024
    + more versions
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    MichaelBorowski (2024). 2024-06 SC House District 50 - Statistics (PPT).JPG [Dataset]. https://www.scdigitaldrive.org/documents/2b04eacc9beb4d58b6a0d3309c1a0f56
    Explore at:
    Dataset updated
    Sep 4, 2024
    Dataset authored and provided by
    MichaelBorowski
    Area covered
    South Carolina
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  6. a

    2024-06 Congressional District 05 - Statistics.JPG

    • south-carolina-broadband-scors.hub.arcgis.com
    Updated Sep 24, 2024
    + more versions
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    MichaelBorowski (2024). 2024-06 Congressional District 05 - Statistics.JPG [Dataset]. https://south-carolina-broadband-scors.hub.arcgis.com/documents/028312cbff93455ca543cdecd4368f75
    Explore at:
    Dataset updated
    Sep 24, 2024
    Dataset authored and provided by
    MichaelBorowski
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  7. f

    Range of values for the national expected annual losses index.

    • plos.figshare.com
    xls
    Updated Aug 8, 2024
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    Ahmed Rachid El-Khattabi; Elsemarie Mullins; Kathyrn Obenshain (2024). Range of values for the national expected annual losses index. [Dataset]. http://doi.org/10.1371/journal.pwat.0000179.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 8, 2024
    Dataset provided by
    PLOS Water
    Authors
    Ahmed Rachid El-Khattabi; Elsemarie Mullins; Kathyrn Obenshain
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Range of values for the national expected annual losses index.

  8. f

    Range of values for the national community resilience score.

    • plos.figshare.com
    xls
    Updated Aug 8, 2024
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    Ahmed Rachid El-Khattabi; Elsemarie Mullins; Kathyrn Obenshain (2024). Range of values for the national community resilience score. [Dataset]. http://doi.org/10.1371/journal.pwat.0000179.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 8, 2024
    Dataset provided by
    PLOS Water
    Authors
    Ahmed Rachid El-Khattabi; Elsemarie Mullins; Kathyrn Obenshain
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Range of values for the national community resilience score.

  9. s

    2024-06 SC House District 57 - Statistics (PPT).JPG

    • scdigitaldrive.org
    • south-carolina-broadband-scors.hub.arcgis.com
    Updated Sep 4, 2024
    + more versions
    Share
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    Email
    Click to copy link
    Link copied
    Close
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    MichaelBorowski (2024). 2024-06 SC House District 57 - Statistics (PPT).JPG [Dataset]. https://www.scdigitaldrive.org/documents/92430aeed1214f66af70a1787e66ffc6
    Explore at:
    Dataset updated
    Sep 4, 2024
    Dataset authored and provided by
    MichaelBorowski
    Area covered
    South Carolina
    Description

    Based on SC Broadband Office (SCBBO) analysis of FCC Broadband Data Collection (fcc.gov), Jun. 30, 2023 (as of Mar. 19, 2024), submissions that were audited through the SC BEAD Challenge process which concluded on Jun. 30, 2024. The SC BEAD Challenge process relied upon FCC BSL Fabric Jun. 30, 2023, Version 3.2 (pub. Jul. 21, 2023). Satellite and mobile broadband services are excluded. Population and K-12 estimates are derived from residential unit level data based on the FCC BSL fabric. Broadband investment data based on SCBBO actual BSL contract data in the case of state-managed funds (when available) and best-available federal data in the case of FCC and US Department of Agriculture (USDA) managed investments. County-level investments are based upon data provided to the SCBBO. The SCBBO is neither responsible nor liable for damages or injuries caused by failure of performance, error, omission, inaccuracy, inaccessibility, incompleteness or any other errors of this information period or formatting on this slide. This data should be used for general reference purposes only. Additional broadband information regarding South Carolina may be found at www.scdigitaldrive.org. Submit comments or questions to broadband@ors.sc.gov

  10. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Ryan A. Martin; Sara C. Garnett (2013). Relatedness and resource diversity interact to influence the intensity of competition [Dataset]. http://doi.org/10.5061/dryad.866j4

Data from: Relatedness and resource diversity interact to influence the intensity of competition

Related Article
Explore at:
zipAvailable download formats
Dataset updated
Jun 21, 2013
Dataset provided by
University of North Carolina at Chapel Hill
Authors
Ryan A. Martin; Sara C. Garnett
License

https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

Description

When resource competition occurs between close relatives the negative effects of competition are potentially amplified. However, kin selection theory predicts that natural selection should promote the evolution of mechanisms that minimize the intensity of competition between kin. Experimental tests of these hypotheses are mixed, however. Moreover, there is little consensus regarding the generality of either outcome, suggesting that the conditions important in determining the effects of competition between kin are likely complex and not fully understood. We performed two experiments using spadefoot toad tadpoles (Spea multiplicata) to evaluate the hypothesis that individuals can minimize the negative effects of exploitative competition by using alternative resources when competing with close relatives. Supporting our hypothesis, we found that only when individuals had access to alternative resources were the negative effects of competition between siblings less than between unrelated competitors. We suggest that mechanisms to lessen kin competition may be more likely to evolve in environments where alternative resources are available, and that selection to minimize exploitative competition between kin may promote the evolution of resource polyphenism.

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