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) and biological (fish, macroinvertebrate, and vegetation community) collections as indicators for Pool 1A and the Maankiki Marsh North and South units at the Shiawassee National Wildlife Refuge in Saginaw, MI, USA. The Maankiki North and South units were recently reconnected to the Shiawassee River in 2018, whereas Pool 1A represents a historically reconnected wetland. All data were collected in 2020.

These data describe water chemistry and fish, macroinvertebrate and vegetation communities within recently restored, historically-restored, and unrestored wetland management units of the Shiawassee National Wildlife Refuge (SNWR; Michigan, USA). Data were collected in 2021 according to protocols and methods described in Conrad et al. 2022. These methods developed through previous years of fieldwork at SNWR and are similar to those implemented in the Great Lakes Coastal Wetlands Monitoring Program (CWMP) (Greenberg et al. 2021; Lugten et al. 2020; Uzarski et al. 2016). Water chemistry data include either field or lab-derived measurements including temperature, pH, turbidity, conductivity, dissolved oxygen, ammonia, chloride, sulfate, nitrite, nitrate, silicon dioxide, soluble reactive phosphorus, total phosphorus, total Kjeldahl nitrogen, suspended solids, and fluoride. Biological community data include taxa identifications and abundance estimates for macroinvertebrates, fish, and vegetation. Taxa are identified to the species level when practicable, with data derived from floral surveys, electrofishing, fyke net sets and macroinvertebrate dip net sampling. These data may serve as indicators of system quality or health, enabling users to conduct comparative analyses among different wetland areas and, in conjunction with cross referenced datasets, make comparisons across years.

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 represents geospatial and tabular data for a study investigating linkages between local terrain and wetland hydroperiod. The data release was produced in compliance with the new 'open data' requirements as way to make the scientific products associated with USGS research efforts and publications available to the public. The dataset consists of 3 separate items: 1. water level monitoring site Locations (tabular data) 2. surveyed wetland perimeters (GIS vector data) 3. water level and water temperature data for 58 select wetlands (tabular data)

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.

Rivers and Streams data for the National Aquatic Resource Surveys. This dataset is associated with the following publication: Herlihy, A., J. Sifneos, R. Hughes, D. Peck, and R. Mitchell. The Relation of Lotic Fish and Benthic Macroinvertebrate Condition Indices to Environmental Factors Across the Conterminous USA. ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 112: 105958, (2020).