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Use of Nitrogen and Carbon Stable Isotopes in Filter Feeding Bivalves and Surficial Sediment for Assessing Aquatic Condition in Lakes and Estuaries - DATA
Use of table isotope in surficial sediments and bivalves for assessing anthropogenic development in watersheds of lakes and estuaries. This dataset is associated with the following publication: Lake, J.L., J.R. Serbst, A. Kuhn, M. Charpentier, and N.J. Smucker. Evaluation of Nitrogen and Carbon Stable Isotopes in Filter Feeding Bivalves and Surficial Sediment for Assessing Aquatic Condition in Lakes and Estuaries. WATER. MDPI, Basel, SWITZERLAND, 14(22): 3712, (2022).
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Use of Nitrogen and Carbon Stable Isotopes in Filter Feeding Bivalves and Surficial Sediment for Assessing Aquatic Condition in Lakes and Estuaries - DATA
공공데이터포털
Use of table isotope in surficial sediments and bivalves for assessing anthropogenic development in watersheds of lakes and estuaries. This dataset is associated with the following publication: Lake, J.L., J.R. Serbst, A. Kuhn, M. Charpentier, and N.J. Smucker. Evaluation of Nitrogen and Carbon Stable Isotopes in Filter Feeding Bivalves and Surficial Sediment for Assessing Aquatic Condition in Lakes and Estuaries. WATER. MDPI, Basel, SWITZERLAND, 14(22): 3712, (2022).
NARS Hydrologic Data
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Lake hydrologic characteristics derived from water stable isotope values that include evaporation-to-inflow ratio and water residence time. This dataset is associated with the following publication: Fergus, E., J.R. Brooks, P. Kaufmann, A. Herlihy, A. Pollard, M. Weber, and S. Paulsen. Lake Water Levels and Associated Hydrologic Characteristics in the Conterminous U.S.. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 56(3): 450-471, (2020).
NARS Hydrologic Data
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Lake hydrologic characteristics derived from water stable isotope values that include evaporation-to-inflow ratio and water residence time. This dataset is associated with the following publication: Fergus, E., J.R. Brooks, P. Kaufmann, A. Herlihy, A. Pollard, M. Weber, and S. Paulsen. Lake Water Levels and Associated Hydrologic Characteristics in the Conterminous U.S.. JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, USA, 56(3): 450-471, (2020).
Data for Use of historical isoscapes to develop an estuarine nutrient baseline
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Coastal eutrophication is a prevalent threat to the healthy functioning of ecosystems globally. While degraded water quality can be detected by monitoring oxygen, nutrient concentrations, and algal abundance, establishing regulatory guidelines is complicated by a lack of baseline data (e.g., pre-Anthropocene). We use historical carbon and nitrogen isoscapes from sediment cores to reconstruct spatial and temporal changes in nutrient dynamics for a central California estuary, where development and agriculture dramatically enhanced nutrient inputs over the past century. We found strong contrasts between current sediment stable isotopes and those from the recent past, demonstrating shifts exceeding those in previously studied eutrophic estuaries and substantial increases in nutrient inputs. Comparisons of contemporary with historical isoscapes also revealed that nitrogen sources shifted from a marine-terrestrial gradient to amplified denitrification at the head and mouth of the estuary. Geospatial analysis of historical data suggests that an increase in fertilizer application – rather than population growth or increases in the extent of cultivated land – is chiefly responsible for increasing nutrient loads during the 20th century. This study demonstrates the ability of isotopic and stoichiometric maps to provide important perspectives on long-term shifts and spatial patterns of nutrients that can be used to improve management of nutrient pollution. This dataset is associated with the following publication: Champlin, L., A. Woolfolk, A. Oczkowski, A. Rittenhouse, A. Gray, K. Wasson, F. Rahman, P. Zelanko, N. Quintana Krupinski, R. Jeppesen, J. Haskins, and E. Watson. Use of historical isoscapes to develop an estuarine nutrient baseline. Frontiers in Marine Science. Frontiers, Lausanne, SWITZERLAND, 10: 1257015, (2023).
Biogeochemistry of Southwestern Lake Superior and Watershed, 2021-2023
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This is an update to a previously archived data set, which is available at https://doi.org/10.13020/4zwr-t415. Here, additional sites for 2021, and additional data for 2022 and 2023 are given. There will be no further updates. 570 station occupations occurred along Lake Superior’s southwest shoreline where data were collected from Lake Superior and its watershed in the region generally between Duluth-Superior and Ashland, WI. Parameters include forms of carbon, nitrogen, and phosphorus, along with total suspended solids, chlorophyll, and phycocyanin.
Biogeochemistry of Southwestern Lake Superior and Watershed, 2021-2023
공공데이터포털
This is an update to a previously archived data set, which is available at https://doi.org/10.13020/4zwr-t415. Here, additional sites for 2021, and additional data for 2022 and 2023 are given. There will be no further updates. 570 station occupations occurred along Lake Superior’s southwest shoreline where data were collected from Lake Superior and its watershed in the region generally between Duluth-Superior and Ashland, WI. Parameters include forms of carbon, nitrogen, and phosphorus, along with total suspended solids, chlorophyll, and phycocyanin.
Greater Yellowstone Network Published Water Quality Data through 2023 from the BICAWQ01, GRTEWQ01, and YELLWQ01 Projects as of 2024-04-29
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This data package was created 2024-06-22 08:26:17 by NPSTORET and includes selected project, location, and result data. Data contained in the Greater Yellowstone Network NPSTORET back-end file (GRYN_BICAWQ01_GRTEWQ01_YELLWQ01_PUBLISHED_THROUGH_2023_NPSTORET_BE.ACCDB) were filtered to include: Project: - BICAWQ01: Bighorn Canyon NRA - GRYN Water Quality Monitoring - GRTEWQ01: Grand Teton National Park - GRYN Water Quality Monitoring - YELLWQ01: Yellowstone National Park - GRYN Water Quality Monitoring Station: - Include Trip QC And All Station Visit Results Value Status: - Accepted or Certified (exported as Final) or Final The data package is organized into five data tables: - Projects.csv - describes the purpose and background of the monitoring efforts - Locations.csv - documents the attributes of the monitoring locations/stations - Results.csv - contains the field measurements, observations, and/or lab analyses for each sample/event/data grouping - HUC12.csv - enumerates the domain of allowed values for 12-digit hydrologic unit codes utilized by the Locations datatable - Characteristics.csv - enumerates the domain of characteristics available in NPSTORET to identify what was sampled, measured or observed in Results Period of record for filtered data is 2005-06-27 to 2023-11-29. This data package is a snapshot in time of multiple National Park Service projects. The most current data for these projects, which may be more or less extensive than that in this data package, can be found on the Water Quality Portal at: https://www.waterqualitydata.us/data/Result/search?project=BICAWQ01 https://www.waterqualitydata.us/data/Result/search?project=GRTEWQ01 https://www.waterqualitydata.us/data/Result/search?project=YELLWQ01
Greater Yellowstone Network Published Water Quality Data through 2023 from the BICAWQ01, GRTEWQ01, and YELLWQ01 Projects as of 2024-04-29
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This data package was created 2025-07-09 06:47:55 by NPSTORET and includes selected project, location, and result data. Data contained in the Greater Yellowstone Network NPSTORET back-end file (GRYN_BICAWQ01_GRTEWQ01_YELLWQ01_PUBLISHED_THROUGH_2023_NPSTORET_BE.ACCDB) were filtered to include: Project: - BICAWQ01: Bighorn Canyon NRA - GRYN Water Quality Monitoring - GRTEWQ01: Grand Teton National Park - GRYN Water Quality Monitoring - YELLWQ01: Yellowstone National Park - GRYN Water Quality Monitoring Station: - Include Trip QC And All Station Visit Results Value Status: - Accepted or Certified (exported as Final) or Final The data package is organized into five data tables: - Projects.csv - describes the purpose and background of the monitoring efforts - Locations.csv - documents the attributes of the monitoring locations/stations - Results.csv - contains the field measurements, observations, and/or lab analyses for each sample/event/data grouping - HUC.csv - enumerates the domain of allowed values for 8-digit and 12-digit hydrologic unit codes utilized by the Locations data table - Characteristics.csv - enumerates the domain of characteristics available in NPSTORET to identify what was sampled, measured or observed in Results Period of record for filtered data is 2005-06-27 to 2023-11-29. This data package is a snapshot in time of multiple National Park Service projects. The most current data for these projects, which may be more or less extensive than that in this data package, can be found on the Water Quality Portal at: https://www.waterqualitydata.us/data/Result/search?project=BICAWQ01&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=GRTEWQ01&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=YELLWQ01&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET
Great Lakes Network 2006-2023 Inland Lakes Water Quality Monitoring Data as of 2024-04-19
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This data package was created 2024-10-17 15:12:07 by NPSTORET and includes selected project, location, and result data. Data contained in Great Lakes Network NPSTORET back-end file (GLKNLKWQ_NPSTORET_BE_2024_04_19_20240419_1142.ACCDB) were filtered to include: Station: - Include Trip QC And All Station Visit Results Value Status: - Accepted or Certified (exported as Final) or Final The data package is organized into five data tables: - Projects.csv - describes the purpose and background of the monitoring efforts - Locations.csv - documents the attributes of the monitoring locations/stations - Results.csv - contains the field measurements, observations, and/or lab analyses for each sample/event/data grouping - HUC.csv - enumerates the domain of allowed values for 8-digit and 12-digit hydrologic unit codes utilized by the Locations datatable - Characteristics.csv - enumerates the domain of characteristics available in NPSTORET to identify what was sampled, measured or observed in Results Period of record for filtered data is 2006-05-02 to 2023-09-20. This data package is a snapshot in time of one National Park Service project. The most current data for this project, which may be more or less extensive than that in this data package, can be found on the Water Quality Portal at: https://www.waterqualitydata.us/data/Result/search?project=GLKNLKWQ
Great Lakes Network 2006-2023 Inland Lakes Water Quality Monitoring Data as of 2024-04-19
공공데이터포털
This data package was created 2024-10-17 15:12:07 by NPSTORET and includes selected project, location, and result data. Data contained in Great Lakes Network NPSTORET back-end file (GLKNLKWQ_NPSTORET_BE_2024_04_19_20240419_1142.ACCDB) were filtered to include: Station: - Include Trip QC And All Station Visit Results Value Status: - Accepted or Certified (exported as Final) or Final The data package is organized into five data tables: - Projects.csv - describes the purpose and background of the monitoring efforts - Locations.csv - documents the attributes of the monitoring locations/stations - Results.csv - contains the field measurements, observations, and/or lab analyses for each sample/event/data grouping - HUC.csv - enumerates the domain of allowed values for 8-digit and 12-digit hydrologic unit codes utilized by the Locations datatable - Characteristics.csv - enumerates the domain of characteristics available in NPSTORET to identify what was sampled, measured or observed in Results Period of record for filtered data is 2006-05-02 to 2023-09-20. This data package is a snapshot in time of one National Park Service project. The most current data for this project, which may be more or less extensive than that in this data package, can be found on the Water Quality Portal at: https://www.waterqualitydata.us/data/Result/search?project=GLKNLKWQ