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National Aquatic Resources Survey datasets

Metadata Updated: March 11, 2021

The 4 resource surveys (coastal, rivers and streams, lakes and reservoirs, and wetlands) each have datasets covering the biological, chemical, physical habitat, hydrologic and watershed data.

This dataset is associated with the following publications: Stoddard , J., J. Van Sickle, A. Herlihy, J. Brahney, S. Paulsen , D. Peck , R. Mitchell , and A. Pollard. Continental-scale increase in stream and lake phosphorus: Are oligotrophic systems disappearing in the U.S.?. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(7): 3409-3415, (2016). Herlihy, A., M. Kentula, T. Magee, G. Lomnicky, A. Nahlik, and G. Serenbetz. Striving for consistency in the National Wetland Condition Assessment: developing a reference condition approach for assessing wetlands at a continental scale. ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191: 327, (2019). Magee, T., K. Blocksom, and S. Fennessy. A national-scale vegetation multimetric index (VMMI) as an indicator of wetland condition across the conterminous United States.. ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191: 322, (2019). Herlihy, A., J. Sifneos, G. Lomnicky, A. Nahlik, M. Kentula, T. Magee, M. Weber, and A. Trebitz. The response of wetland quality indicators to human disturbance indicators across the United States. ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191: 296, (2019). Herlihy, A., S. Paulsen, M. Kentula, T. Magee, A. Nahlik, and G. Lomnicky. Assessing the relative and attributable risk of stressors to wetland condition across the conterminous United States. ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191: 320, (2019). Lomnicky, G., A.T. Herlihy, and P. Kaufmann. Quantifying the extent of human disturbance activities and anthropogenic stressors in wetlands across the conterminous United States: results from the National Wetland Condition Assessment. ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191: 324, (2019). Bowen, G., A. Putman, J.R. Brooks, D. Bowling, E. Oerter, and S. Good. Inferring the source of evaporated waters using stable H and O isotopes.. OECOLOGIA. Springer, New York, NY, USA, 187(4): 1025-1039, (2018). Fox, E., J. Ver Hoef, and T. Olsen. Comparing Spatial Regression to Random Forests for Large Environmental Data Sets.. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 15(3): e0229509, (2020). Nahlik, A., K. Blocksom, A. Herlihy, M. Kentula, T. Magee, and S. Paulsen. Use of national-scale data to examine human-mediated additions of heavy metals to wetland soils of the US. ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191: 336, (2019). Kentula, M., and S. Paulsen. The 2011 National Wetland Condition Assessment: Overview and an Invitation. ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 325, (2019). Magee, T., K. Blocksom, A. Herlihy, and A. Nahlik. Characterizing nonnative plants in wetlands across the conterminous United States. ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 191: 344, (2019). Feio, M., R. Hughes, M. Callisto, S.J. Nichols, O.N. Odume, B.R. Quintella, M. Kuemmerlen, F.C. Aguiar, S.F.P. Almeida, P. Alonso-EguíaLis , F.O. Arimoro, F.J. Dyer , J.S. Harding , S. Jang , P. Kaufmann, S. Lee, J. Li, D.R. Macedo, A. Mendes, N. Mercado-Silva , W. Monk, K. Nakamura, G.G. Ndiritu , R. Ogden , M. Peat , T.B. Reynoldson , B. Rios-Touma , P. Segurado , and A.G. Yates. The biological assessment and rehabilitation of the world’s rivers: an overview. WATER. MDPI AG, Basel, SWITZERLAND, 13(3): 371, (2021).

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

References

https://doi.org/10.1021/acs.est.5b05950
https://doi.org/10.1007/s10661-019-7325-3
https://doi.org/10.1007/s10661-019-7324-4
https://doi.org/10.1007/s10661-019-7323-5
https://doi.org/10.1007/s10661-019-7313-7
https://doi.org/10.1007/s10661-019-7314-6
https://doi.org/10.1007/s00442-018-4192-5
https://doi.org/10.1371/journal.pone.0229509
https://doi.org/10.1007/s10661-019-7315-5
https://doi.org/10.1007/s10661-019-7316-4
https://doi.org/10.1007/s10661-019-7317-3
https://doi.org/10.3390/w13030371

Dates

Metadata Created Date November 12, 2020
Metadata Updated Date March 11, 2021

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date March 11, 2021
Publisher U.S. EPA Office of Research and Development (ORD)
Maintainer
Identifier https://doi.org/10.23719/1407622
Data Last Modified 2017-09-01
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Harvest Object Id 66573e15-6b26-48b0-9d74-5299d5835387
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license.html
Program Code 020:096
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents https://doi.org/10.1021/acs.est.5b05950, https://doi.org/10.1007/s10661-019-7325-3, https://doi.org/10.1007/s10661-019-7324-4, https://doi.org/10.1007/s10661-019-7323-5, https://doi.org/10.1007/s10661-019-7313-7, https://doi.org/10.1007/s10661-019-7314-6, https://doi.org/10.1007/s00442-018-4192-5, https://doi.org/10.1371/journal.pone.0229509, https://doi.org/10.1007/s10661-019-7315-5, https://doi.org/10.1007/s10661-019-7316-4, https://doi.org/10.1007/s10661-019-7317-3, https://doi.org/10.3390/w13030371
Source Datajson Identifier True
Source Hash acb08a2a3df75d7b5155345a37ef7d57e15fa28c
Source Schema Version 1.1

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