6 datasets found
  1. d

    Community composition data for assessing fish populations in headwater...

    • catalog.data.gov
    • data.usgs.gov
    • +4more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Community composition data for assessing fish populations in headwater streams of the Adirondack Mountains, New York, USA [Dataset]. https://catalog.data.gov/dataset/community-composition-data-for-assessing-fish-populations-in-headwater-streams-of-the-adir
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Adirondack Mountains, New York, United States
    Description

    Community composition data from multi-pass electrofishing surveys for assessing fish populations in headwater streams of the Adirondack Mountains, New York, USA. Each row represents one individual fish. This spreadsheet contains 11 columns. The first 7 columns describe the data (year collected, local site ID, stream name, latitude, longitude, USGS site number, and electrofishing pass number) and the remaining 4 columns describe each individual fish (common name, scientific name, total length (mm) and weight (g)). These data support the following publication: Baldigo, B.P., Sporn, L.A., George, S.D., and Ball, Jacob, in press. Efficacy of environmental DNA to detect and quantify Brook Trout Salvelinus fontinalis, populations in streams of the Adirondack Mountains, New York. Trans. Amer. Fish. Soc. na, na; http://dx.doi.org/10.1577/.

  2. f

    Factor loadings and percent contribution for each of the top 3 principal...

    • figshare.com
    xls
    Updated Jun 16, 2023
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    Joseph W. Hinton; Jeremy E. Hurst; David W. Kramer; James H. Stickles; Jacqueline L. Frair (2023). Factor loadings and percent contribution for each of the top 3 principal components (PC) for land cover measured across the Adirondack Park, New York. [Dataset]. http://doi.org/10.1371/journal.pone.0273707.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Joseph W. Hinton; Jeremy E. Hurst; David W. Kramer; James H. Stickles; Jacqueline L. Frair
    License

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

    Description

    Factor loadings and percent contribution for each of the top 3 principal components (PC) for land cover measured across the Adirondack Park, New York.

  3. f

    Top GAM models and the null model for white-tailed deer abundances in the...

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Joseph W. Hinton; Jeremy E. Hurst; David W. Kramer; James H. Stickles; Jacqueline L. Frair (2023). Top GAM models and the null model for white-tailed deer abundances in the Adirondack Park, New York, USA. [Dataset]. http://doi.org/10.1371/journal.pone.0273707.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Joseph W. Hinton; Jeremy E. Hurst; David W. Kramer; James H. Stickles; Jacqueline L. Frair
    License

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

    Area covered
    New York, United States
    Description

    For each area and period, we provide the estimated deer abundance (N), 95% confidence interval (CI), coefficient of variation (CV), and ΔAIC.

  4. f

    Summary of the generalized additive model describing factors influencing...

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Joseph W. Hinton; Jeremy E. Hurst; David W. Kramer; James H. Stickles; Jacqueline L. Frair (2023). Summary of the generalized additive model describing factors influencing white-tailed deer abundance in Adirondack Park, New York, USA, 2016. [Dataset]. http://doi.org/10.1371/journal.pone.0273707.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Joseph W. Hinton; Jeremy E. Hurst; David W. Kramer; James H. Stickles; Jacqueline L. Frair
    License

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

    Area covered
    New York, United States
    Description

    We present the estimated degrees of freedom (edf), reference degrees of freedom (Ref.df), F statistic, and P-value for each term.

  5. f

    Parameter estimates for the most parsimonious detection model for surveying...

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Joseph W. Hinton; Jeremy E. Hurst; David W. Kramer; James H. Stickles; Jacqueline L. Frair (2023). Parameter estimates for the most parsimonious detection model for surveying white-tailed deer via helicopter during 2016 in Adirondack Park, New York. [Dataset]. http://doi.org/10.1371/journal.pone.0273707.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Joseph W. Hinton; Jeremy E. Hurst; David W. Kramer; James H. Stickles; Jacqueline L. Frair
    License

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

    Description

    Cover was a categorical variable and, when significant in a model, hardwood cover served as the reference category. Shown are β coefficients and standard error (SE).

  6. f

    Summary of the top 6 candidate detection function models with hazard rate...

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Joseph W. Hinton; Jeremy E. Hurst; David W. Kramer; James H. Stickles; Jacqueline L. Frair (2023). Summary of the top 6 candidate detection function models with hazard rate key functions for white-tailed deer in the Adirondack Park, 2016. [Dataset]. http://doi.org/10.1371/journal.pone.0273707.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Joseph W. Hinton; Jeremy E. Hurst; David W. Kramer; James H. Stickles; Jacqueline L. Frair
    License

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

    Description

    Indicated for each model are the model covariates, number of estimated parameters (K), Cramer von Miser goodness of fit P-value, average probability of detection () with standard error (SE), and ΔAIC comparing models.

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Click to copy link
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U.S. Geological Survey (2024). Community composition data for assessing fish populations in headwater streams of the Adirondack Mountains, New York, USA [Dataset]. https://catalog.data.gov/dataset/community-composition-data-for-assessing-fish-populations-in-headwater-streams-of-the-adir

Community composition data for assessing fish populations in headwater streams of the Adirondack Mountains, New York, USA

Explore at:
Dataset updated
Jul 6, 2024
Dataset provided by
U.S. Geological Survey
Area covered
Adirondack Mountains, New York, United States
Description

Community composition data from multi-pass electrofishing surveys for assessing fish populations in headwater streams of the Adirondack Mountains, New York, USA. Each row represents one individual fish. This spreadsheet contains 11 columns. The first 7 columns describe the data (year collected, local site ID, stream name, latitude, longitude, USGS site number, and electrofishing pass number) and the remaining 4 columns describe each individual fish (common name, scientific name, total length (mm) and weight (g)). These data support the following publication: Baldigo, B.P., Sporn, L.A., George, S.D., and Ball, Jacob, in press. Efficacy of environmental DNA to detect and quantify Brook Trout Salvelinus fontinalis, populations in streams of the Adirondack Mountains, New York. Trans. Amer. Fish. Soc. na, na; http://dx.doi.org/10.1577/.

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