Samuel J. Smidt
University of Florida
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ABSTRACT:
These data are linked to the Earth's Future publication "Forming the Future of Agrohydrology" by S.J. Smidt et al. Provided here are the final data used in the manuscript.
ABSTRACT:
These data are linked to the L&O Letters publication "Impacts of Residential Fertilizer Ordinances on Florida Lacustrine Water Quality" by D. Aviles, E.F. Belshe, A.J. Reisinger, and S.J. Smidt. Provided here are the final lake data and data processing codes.
ABSTRACT:
This dataset corresponds with the inland fisheries collaboration between the Land and Water Lab at the University of Florida and Food and Agriculture Organization of the United Nations. An online survey of fisheries professionals distributed in June-September 2020 yielded 536 responses from 93 unique hydrological basins across most major freshwater habitat types. Provided here are the raw survey dataset generated from participant responses, a formatted dataset intended for reuse, a reference key to numeric values and column headers, a reference key to region identifiers, and the script used to generate the formatted dataset and figures used in the paper titled, "A global dataset of inland fisheries expert knowledge."
ABSTRACT:
These data and script files correspond to the inland fisheries collaboration between the Land and Water Lab at the University of Florida and Food and Agriculture Organization of the United Nations. An online survey of fisheries professionals distributed in June-July 2020 yielded 437 responses from 79 countries and 93 unique hydrological basins accounting for 82.1% of reported global inland fish catch. Provided here are the raw survey results and the scripts used to analyze the data and build the figures used in the paper titled, "COVID-19 pandemic impacts on global inland fisheries".
ABSTRACT:
These data correspond to the publication, "Influence of Irrigation Drivers Using Boosted Regression Trees: Kansas High Plains" by SE Lamb, EMK Haacker, and SJ Smidt. This study used boosted regression trees to identify the relative influence of irrigation drivers in western Kansas. This resource provides all model inputs and outputs.
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Created: Sept. 16, 2020, 3:16 p.m.
Authors: Smidt, Samuel J.
ABSTRACT:
These data correspond to the publication, "Influence of Irrigation Drivers Using Boosted Regression Trees: Kansas High Plains" by SE Lamb, EMK Haacker, and SJ Smidt. This study used boosted regression trees to identify the relative influence of irrigation drivers in western Kansas. This resource provides all model inputs and outputs.
ABSTRACT:
These data and script files correspond to the inland fisheries collaboration between the Land and Water Lab at the University of Florida and Food and Agriculture Organization of the United Nations. An online survey of fisheries professionals distributed in June-July 2020 yielded 437 responses from 79 countries and 93 unique hydrological basins accounting for 82.1% of reported global inland fish catch. Provided here are the raw survey results and the scripts used to analyze the data and build the figures used in the paper titled, "COVID-19 pandemic impacts on global inland fisheries".
Created: May 13, 2021, 5:55 p.m.
Authors: Stokes, Gretchen · Smidt, Samuel J.
ABSTRACT:
This dataset corresponds with the inland fisheries collaboration between the Land and Water Lab at the University of Florida and Food and Agriculture Organization of the United Nations. An online survey of fisheries professionals distributed in June-September 2020 yielded 536 responses from 93 unique hydrological basins across most major freshwater habitat types. Provided here are the raw survey dataset generated from participant responses, a formatted dataset intended for reuse, a reference key to numeric values and column headers, a reference key to region identifiers, and the script used to generate the formatted dataset and figures used in the paper titled, "A global dataset of inland fisheries expert knowledge."
Created: July 30, 2021, 5:35 p.m.
Authors: Diego Aviles · E. Fay Belshe · Alexander J. Reisinger · Smidt, Samuel J.
ABSTRACT:
These data are linked to the L&O Letters publication "Impacts of Residential Fertilizer Ordinances on Florida Lacustrine Water Quality" by D. Aviles, E.F. Belshe, A.J. Reisinger, and S.J. Smidt. Provided here are the final lake data and data processing codes.
Created: Dec. 13, 2022, 4:47 p.m.
Authors: Smidt, Samuel J. · Erin M.K. Haacker · Xue Bai · Keith Cherkauer · Ben Choat · Octavia Crompton · Jillian M. Deines · Jannis Groh · Sandra M. Guzmán · Sarah Hartman · Anthony D. Kendall · Mohammad Safeeq · William Kustas · Bonnie M. McGill · Mallika A. Nocco · Jennifer Pensky · Jeremy Rapp · Adam Schreiner-Mcgraw · Matthias Sprenger · Luwen Wan · Liya Weldegebriel · Sam Zipper · Davide Zoccatelli
ABSTRACT:
These data are linked to the Earth's Future publication "Forming the Future of Agrohydrology" by S.J. Smidt et al. Provided here are the final data used in the manuscript.