The data included here were gathered to determine the effects of cattle grazing on wetland water quality in the Klamath National Wildlife Refuge in Oregon. Surface water samples from sites representing a range of grazing histories were collected between June and October in 2017 and 2018. Samples were analyzed for nutrients (ammonia, nitrate plus nitrite, nitrite, and orthophosphate), total coliforms, E. coli, enterococci, and estrogenicity by U.S. Geological Survey laboratories. Basic water quality parameters such as temperature, pH, turbidity and specific conductance were also collected in the field during each site visit. Quality assurance samples (blanks and replicates) as well as method information is also included in the data release.

This dataset consists of three datafiles: 1) vegetation, 2) abiotic factors, and 3) groundwater levels. Vegetation data were collected twice per month between July and September of 2019 and 2020. Data was collected by establishing 1m x 1m subplots within 12 5m-radius sampling plots distributed across the management units of Bitter Lake National Wildlife Refuge. Subplots were established to represent plot-level vegetation structure and facilitate estimates of rare plant relative abundance. The abiotic factors dataset includes observations of surface soil moisture, salinity, groundwater quality data, and rare plant presence taken weekly between March – October 2019 and May – October 2020 at each established plot within management units of Bitter Lake National Wildlife Refuge. Surface soil conditions were measured using a handheld TEROS 12 soil moisture and salinity sensors (METER group Inc., Pullman, Washington). Groundwater quality data was measured using an YSI handheld multi-parameter (YSI Inc., Yellow Springs, Ohio). The groundwater level dataset includes groundwater depth data. Groundwater depth was monitored by installing an In-Situ Rugged TROLL 100 water level recorder (In-Situ Inc., Fort Collins, Colorado) in 4 wells within 4 different management units. Each recorder was programmed to conduct readings every 6 hours from March 2019 to October 2020. Groundwater level data was calibrated by installing one In-Situ Rugged BaroTROLL barometric pressure transducer at a midpoint. Groundwater data was downloaded to the Win Situ 5 software, where the data was gathered, calibrated, organized and exported as a .csv file. This dataset summarizes this information and was used for analysis.

This dataset consists of three datafiles: 1) vegetation, 2) abiotic factors, and 3) groundwater levels. Vegetation data were collected twice per month between July and September of 2019 and 2020. Data was collected by establishing 1m x 1m subplots within 12 5m-radius sampling plots distributed across the management units of Bitter Lake National Wildlife Refuge. Subplots were established to represent plot-level vegetation structure and facilitate estimates of rare plant relative abundance. The abiotic factors dataset includes observations of surface soil moisture, salinity, groundwater quality data, and rare plant presence taken weekly between March – October 2019 and May – October 2020 at each established plot within management units of Bitter Lake National Wildlife Refuge. Surface soil conditions were measured using a handheld TEROS 12 soil moisture and salinity sensors (METER group Inc., Pullman, Washington). Groundwater quality data was measured using an YSI handheld multi-parameter (YSI Inc., Yellow Springs, Ohio). The groundwater level dataset includes groundwater depth data. Groundwater depth was monitored by installing an In-Situ Rugged TROLL 100 water level recorder (In-Situ Inc., Fort Collins, Colorado) in 4 wells within 4 different management units. Each recorder was programmed to conduct readings every 6 hours from March 2019 to October 2020. Groundwater level data was calibrated by installing one In-Situ Rugged BaroTROLL barometric pressure transducer at a midpoint. Groundwater data was downloaded to the Win Situ 5 software, where the data was gathered, calibrated, organized and exported as a .csv file. This dataset summarizes this information and was used for analysis.

EPA's 2016 National Wetland Condition Assessment sampled wetlands across the conterminous USA for vegetation, soils, water chemistry, and anthropogenic impacts. Data for all of these elements of the 2016 NWCA survey are available from the EPA NARS website. This particular publication uses the water chemistry data and the anthropogenic impacts data, as well as the general site data that describes sampling locations, wetland type classifications, etc. This dataset is associated with the following publication: Trebitz, A., and A. Herlihy. Wetland water quality patterns and anthropogenic pressure associations across the continental USA. WETLANDS. The Society of Wetland Scientists, McLean, VA, USA, N/A, (2023).

The National Wetland Condition Assessment (NWCA) is a statistical survey of the condition of wetlands in the conterminous United States. It is designed to provide information on the extent of wetlands that support healthy biological condition, estimate how widespread major stressors are that impact wetland quality, and provide insight into the ecological integrity of wetlands nationwide. This dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NWCA 2016 report. Sampling was conducted in the spring and summer of 2016 at approximately 1,000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include site information, vegetation characteristics, soil properties and chemistry, hydrology sources and disturbances, physical habitat, landscape metrics, algal toxins (microcystin), and water chemistry. Users are encouraged to visit the NARS data webpage for updates to data files and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys. Citation for the NWCA 2016 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Wetland Condition Assessment 2016 Report. Archived Data. (INSERT data and metadata files used). Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-wetland-condition-assessment-2016. DOI: 10.23719/1531014 EPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Wetland Condition Assessment 2016 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.” Additional information: NWCA is part of the National Aquatic Resource Surveys, an EPA/State/Tribal partnership. The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the nation’s coastal waters, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of the nation’s water. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years. Citation information for this dataset can be found in Data.gov's References section.

This data release includes water quality and habitat data collected at Bayou Sauvage National Wildlife Refuge (BSNWR). Monitoring water quality, water-level changes, and bird-use relationships in BSNWR is important to the long-term sustainability of these aquatic resources for use by visitors and aquatic life in these habitats. This data release includes datasets of continuous and discrete water quality, water level, and habitat data at 14 sites from October 2019 - December 2021.

This data release includes water quality and habitat data collected at Bayou Sauvage National Wildlife Refuge (BSNWR). Monitoring water quality, water-level changes, and bird-use relationships in BSNWR is important to the long-term sustainability of these aquatic resources for use by visitors and aquatic life in these habitats. This data release includes datasets of continuous and discrete water quality, water level, and habitat data at 14 sites from October 2019 - December 2021.

This USGS data release contains station and laboratory method information and geospatial information, as well as concentration results for inorganic and organic compounds and bioluminescent yeast estrogen screen and transgenic zebrafish embryo estrogren bioassay, analyzed at 38 sites in 25 states as part of the Chemical Mixtures and Environmental Effects Pilot Study, 2012-2014.

Data represent physical (water quality, water nutrient analysis) and biological (fish, macroinvertebrate, and vegetation community) collections from the Shiawassee National Wildlife Refuge in Saginaw, MI, USA (specifically, historical management unit "Pool 1A" and the North and South management units of the Maankiki Marsh Complex.) The North and South management units of the Maankiki Marsh Complex were reconnected to the Shiawassee River in 2018, whereas Pool 1A represents a historically reconnected wetland. Additional sites within the Shiawassee River and Spaulding Drain (east of Pool 1A) were also sampled to represent parameters collected from the parent water system. All data were collected in 2019.

Data represent physical (water quality, water nutrient analysis) and biological (fish, macroinvertebrate, and vegetation community) collections from the Shiawassee National Wildlife Refuge in Saginaw, MI, USA (specifically, historical management unit "Pool 1A" and the North and South management units of the Maankiki Marsh Complex.) The North and South management units of the Maankiki Marsh Complex were reconnected to the Shiawassee River in 2018, whereas Pool 1A represents a historically reconnected wetland. Additional sites within the Shiawassee River and Spaulding Drain (east of Pool 1A) were also sampled to represent parameters collected from the parent water system. All data were collected in 2019.