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Long-term dataset on aquatic responses to concurrent climate change and recovery from acidification
Concurrent regional and global environmental changes are affecting freshwater ecosystems. Decadal-scale data on lake ecosystems that can describe processes affected by these changes are important as multiple stressors often interact to alter the trajectory of key ecological phenomena in complex ways...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5892373/ https://www.ncbi.nlm.nih.gov/pubmed/29633989 http://dx.doi.org/10.1038/sdata.2018.59 |
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author | Leach, Taylor H. Winslow, Luke A. Acker, Frank W. Bloomfield, Jay A. Boylen, Charles W. Bukaveckas, Paul A. Charles, Donald F. Daniels, Robert A. Driscoll, Charles T. Eichler, Lawrence W. Farrell, Jeremy L. Funk, Clara S. Goodrich, Christine A. Michelena, Toby M. Nierzwicki-Bauer, Sandra A. Roy, Karen M. Shaw, William H. Sutherland, James W. Swinton, Mark W. Winkler, David A. Rose, Kevin C. |
author_facet | Leach, Taylor H. Winslow, Luke A. Acker, Frank W. Bloomfield, Jay A. Boylen, Charles W. Bukaveckas, Paul A. Charles, Donald F. Daniels, Robert A. Driscoll, Charles T. Eichler, Lawrence W. Farrell, Jeremy L. Funk, Clara S. Goodrich, Christine A. Michelena, Toby M. Nierzwicki-Bauer, Sandra A. Roy, Karen M. Shaw, William H. Sutherland, James W. Swinton, Mark W. Winkler, David A. Rose, Kevin C. |
author_sort | Leach, Taylor H. |
collection | PubMed |
description | Concurrent regional and global environmental changes are affecting freshwater ecosystems. Decadal-scale data on lake ecosystems that can describe processes affected by these changes are important as multiple stressors often interact to alter the trajectory of key ecological phenomena in complex ways. Due to the practical challenges associated with long-term data collections, the majority of existing long-term data sets focus on only a small number of lakes or few response variables. Here we present physical, chemical, and biological data from 28 lakes in the Adirondack Mountains of northern New York State. These data span the period from 1994–2012 and harmonize multiple open and as-yet unpublished data sources. The dataset creation is reproducible and transparent; R code and all original files used to create the dataset are provided in an appendix. This dataset will be useful for examining ecological change in lakes undergoing multiple stressors. |
format | Online Article Text |
id | pubmed-5892373 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-58923732018-04-13 Long-term dataset on aquatic responses to concurrent climate change and recovery from acidification Leach, Taylor H. Winslow, Luke A. Acker, Frank W. Bloomfield, Jay A. Boylen, Charles W. Bukaveckas, Paul A. Charles, Donald F. Daniels, Robert A. Driscoll, Charles T. Eichler, Lawrence W. Farrell, Jeremy L. Funk, Clara S. Goodrich, Christine A. Michelena, Toby M. Nierzwicki-Bauer, Sandra A. Roy, Karen M. Shaw, William H. Sutherland, James W. Swinton, Mark W. Winkler, David A. Rose, Kevin C. Sci Data Data Descriptor Concurrent regional and global environmental changes are affecting freshwater ecosystems. Decadal-scale data on lake ecosystems that can describe processes affected by these changes are important as multiple stressors often interact to alter the trajectory of key ecological phenomena in complex ways. Due to the practical challenges associated with long-term data collections, the majority of existing long-term data sets focus on only a small number of lakes or few response variables. Here we present physical, chemical, and biological data from 28 lakes in the Adirondack Mountains of northern New York State. These data span the period from 1994–2012 and harmonize multiple open and as-yet unpublished data sources. The dataset creation is reproducible and transparent; R code and all original files used to create the dataset are provided in an appendix. This dataset will be useful for examining ecological change in lakes undergoing multiple stressors. Nature Publishing Group 2018-04-10 /pmc/articles/PMC5892373/ /pubmed/29633989 http://dx.doi.org/10.1038/sdata.2018.59 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Leach, Taylor H. Winslow, Luke A. Acker, Frank W. Bloomfield, Jay A. Boylen, Charles W. Bukaveckas, Paul A. Charles, Donald F. Daniels, Robert A. Driscoll, Charles T. Eichler, Lawrence W. Farrell, Jeremy L. Funk, Clara S. Goodrich, Christine A. Michelena, Toby M. Nierzwicki-Bauer, Sandra A. Roy, Karen M. Shaw, William H. Sutherland, James W. Swinton, Mark W. Winkler, David A. Rose, Kevin C. Long-term dataset on aquatic responses to concurrent climate change and recovery from acidification |
title | Long-term dataset on aquatic responses to concurrent climate change and recovery from acidification |
title_full | Long-term dataset on aquatic responses to concurrent climate change and recovery from acidification |
title_fullStr | Long-term dataset on aquatic responses to concurrent climate change and recovery from acidification |
title_full_unstemmed | Long-term dataset on aquatic responses to concurrent climate change and recovery from acidification |
title_short | Long-term dataset on aquatic responses to concurrent climate change and recovery from acidification |
title_sort | long-term dataset on aquatic responses to concurrent climate change and recovery from acidification |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5892373/ https://www.ncbi.nlm.nih.gov/pubmed/29633989 http://dx.doi.org/10.1038/sdata.2018.59 |
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