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 2022 according to protocols and methods described in Curwin et al. 2023. These methods were developed through previous years of fieldwork at SNWR and are similar to those implemented in the Great Lakes Coastal Wetlands Monitoring Program (CWMP) (Conrad et a. 2022, 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 flora surveys, electrofishing, fyke and gill 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.

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.

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.

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.

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).

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).

Image and biometric data were collected for 22 species of fish from Great Lakes Tributaries in Michigan and Ohio, and the Illinois River for the purpose of developing a fish identification classifier. Data consists of a comma delimited spreadsheet that identifies image file names and associated fish identification number, common name, species code, family name, genus, and species, date collected, river from which each fish was collected, location of sampling, fish fork length in millimeters, girth in millimeters, weight in kilograms, and personnel involved with image collection. Biometric data are saved as .csv comma delimited format and image files are saved as .png file type.