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Fish and selected physical and chemical water-quality data for the U.S. Geological Survey Midwest Stream Quality Assessment
In 2013, the first of several Regional Stream Quality Assessments (RSQA) was done in the Midwest United States. The Midwest Stream Quality Assessment (MSQA) was a collaborative study by the U.S. Geological Survey National Water Quality Assessment and the U.S. Environmental Protection Agency National Rivers and Streams Assessment. One of the objectives of the RSQA, and thus the MSQA, is to characterize relations between stream ecology and water-quality stressors to determine the relative effects of these stressors on aquatic biota in streams. Data required to meet this objective included fish species and abundance data and physical and chemical water-quality characteristics of the ecological reaches of the sites that were sampled. This dataset comprises 135 fish species, 39,920 fish, 10 selected water-quality stressor metrics, and six selected fish community stressor response variables for 98 sites sampled for the MSQA.
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Fish and selected physical and chemical water-quality data for the U.S. Geological Survey Midwest Stream Quality Assessment
공공데이터포털
In 2013, the first of several Regional Stream Quality Assessments (RSQA) was done in the Midwest United States. The Midwest Stream Quality Assessment (MSQA) was a collaborative study by the U.S. Geological Survey National Water Quality Assessment and the U.S. Environmental Protection Agency National Rivers and Streams Assessment. One of the objectives of the RSQA, and thus the MSQA, is to characterize relations between stream ecology and water-quality stressors to determine the relative effects of these stressors on aquatic biota in streams. Data required to meet this objective included fish species and abundance data and physical and chemical water-quality characteristics of the ecological reaches of the sites that were sampled. This dataset comprises 135 fish species, 39,920 fish, 10 selected water-quality stressor metrics, and six selected fish community stressor response variables for 98 sites sampled for the MSQA.
Sampled Sites for the U.S. Geological Survey Midwest Stream Quality Assessment
공공데이터포털
In 2013, the first of several Regional Stream Quality Assessments (RSQA) was done in the Midwest United States. The Midwest Stream Quality Assessment (MSQA) was a collaborative study by the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA), the USGS Columbia Environmental Research Center, and the U.S. Environmental Protection Agency (USEPA) National Rivers and Streams Assessment (NRSA). One of the objectives of the RSQA, and thus the MSQA, is to characterize the relationships between water-quality stressors and stream ecology and to determine the relative effects of these stressors on aquatic biota within the streams (U.S. Geological Survey, 2012). To meet this objective, a framework of fundamental geospatial data was required to develop physical and anthropogenic characteristics of the study region, sampled sites and corresponding watersheds, and riparian zones. This dataset represents the 100 water-chemistry sites sampled for the MSQA, and is one of the four fundamental geospatial data layers that were developed for the Midwest study.
Sampled Sites for the U.S. Geological Survey Midwest Stream Quality Assessment
공공데이터포털
In 2013, the first of several Regional Stream Quality Assessments (RSQA) was done in the Midwest United States. The Midwest Stream Quality Assessment (MSQA) was a collaborative study by the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA), the USGS Columbia Environmental Research Center, and the U.S. Environmental Protection Agency (USEPA) National Rivers and Streams Assessment (NRSA). One of the objectives of the RSQA, and thus the MSQA, is to characterize the relationships between water-quality stressors and stream ecology and to determine the relative effects of these stressors on aquatic biota within the streams (U.S. Geological Survey, 2012). To meet this objective, a framework of fundamental geospatial data was required to develop physical and anthropogenic characteristics of the study region, sampled sites and corresponding watersheds, and riparian zones. This dataset represents the 100 water-chemistry sites sampled for the MSQA, and is one of the four fundamental geospatial data layers that were developed for the Midwest study.
Water-quality and stream-habitat metrics calculated for the National Water-Quality Assessment Program's Regional Stream Quality Assessment conducted in the southeast United States in support of ecological and habitat stressor models, 2014
공공데이터포털
This data release includes metrics from the Regional Stream Quality Assessment (RSQA) from the Southeast Region for habitat stressors related to water-quality and habitat substrate. The goals of RSQA are to characterize multiple water-quality factors that are stressors to aquatic life ‐ contaminants, nutrients, sediment, and streamflow alteration – and to develop a better understanding of the relation of these stressors to ecological conditions in streams throughout the region. In order to characterize water-quality variables and stream-habitat measurements as an aggregation of multiple measurements over a sampling period, and in support of ecological stressor modelling, metrics (summary statistics or indices) were computed from individual results by site using consistent methods over a consistent time frame. Water-quality metrics are based on discrete samples as well as long-term deployed passive samplers.
Water-quality and stream-habitat metrics calculated for the National Water-Quality Assessment Program's Regional Stream Quality Assessment conducted in the southeast United States in support of ecological and habitat stressor models, 2014
공공데이터포털
This data release includes metrics from the Regional Stream Quality Assessment (RSQA) from the Southeast Region for habitat stressors related to water-quality and habitat substrate. The goals of RSQA are to characterize multiple water-quality factors that are stressors to aquatic life ‐ contaminants, nutrients, sediment, and streamflow alteration – and to develop a better understanding of the relation of these stressors to ecological conditions in streams throughout the region. In order to characterize water-quality variables and stream-habitat measurements as an aggregation of multiple measurements over a sampling period, and in support of ecological stressor modelling, metrics (summary statistics or indices) were computed from individual results by site using consistent methods over a consistent time frame. Water-quality metrics are based on discrete samples as well as long-term deployed passive samplers.
Selected Environmental Characteristics of Sampled Sites, Watersheds, and Riparian Zones for the U.S. Geological Survey Midwest Stream Quality Assessment
공공데이터포털
In 2013, the first of several Regional Stream Quality Assessments (RSQA) was done in the Midwest United States. The Midwest Stream Quality Assessment (MSQA) was a collaborative study by the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA), the USGS Columbia Environmental Research Center, and the U.S. Environmental Protection Agency (USEPA) National Rivers and Streams Assessment (NRSA). One of the objectives of the RSQA, and thus the MSQA, is to characterize the relationships between water-quality stressors and stream ecology and to determine the relative effects of these stressors on aquatic biota within the streams (U.S. Geological Survey, 2012a). To meet this objective, a framework of fundamental geospatial data was required to develop physical and anthropogenic characteristics of the study region, sampled sites and corresponding watersheds, and sampled ecological reaches. This dataset comprises of 139 selected environmental characteristics for the 100 sites sampled for the Midwest study.
Selected Environmental Characteristics of Sampled Sites, Watersheds, and Riparian Zones for the U.S. Geological Survey Midwest Stream Quality Assessment
공공데이터포털
In 2013, the first of several Regional Stream Quality Assessments (RSQA) was done in the Midwest United States. The Midwest Stream Quality Assessment (MSQA) was a collaborative study by the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA), the USGS Columbia Environmental Research Center, and the U.S. Environmental Protection Agency (USEPA) National Rivers and Streams Assessment (NRSA). One of the objectives of the RSQA, and thus the MSQA, is to characterize the relationships between water-quality stressors and stream ecology and to determine the relative effects of these stressors on aquatic biota within the streams (U.S. Geological Survey, 2012a). To meet this objective, a framework of fundamental geospatial data was required to develop physical and anthropogenic characteristics of the study region, sampled sites and corresponding watersheds, and sampled ecological reaches. This dataset comprises of 139 selected environmental characteristics for the 100 sites sampled for the Midwest study.
Water-quality data at selected sites in the Souris River Basin, North Dakota, USA and Saskatchewan and Manitoba, Canada, 1970-2020
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A comprehensive study to evaluate water-quality trends in the International Souris River Basin, Saskatchewan and Manitoba, Canada and North Dakota, United States was completed by the U.S. Geological Survey (USGS) in cooperation with the International Joint Commission and International Souris River Board. This page contains water-quality data for stream and reservoir sites in the Souris River Basin in North Dakota, Saskatchewan, and Manitoba. Each file contains information on major ions (MI), nutrients (NUT), trace metals (TM), sediment (SED), and dissolved oxygen (PHY). These data contain numerous columns that are described in the entity and attributes of these files. These files contain the water-quality observations for the statistical summary tables in the report cited in this data release (Nustad and Tatge, 2023).The siteinfo.table.csv file can be used to cross reference the sites with the main report (Nustad and Tatge, 2023).
Water-quality data at selected sites in the Souris River Basin, North Dakota, USA and Saskatchewan and Manitoba, Canada, 1970-2020
공공데이터포털
A comprehensive study to evaluate water-quality trends in the International Souris River Basin, Saskatchewan and Manitoba, Canada and North Dakota, United States was completed by the U.S. Geological Survey (USGS) in cooperation with the International Joint Commission and International Souris River Board. This page contains water-quality data for stream and reservoir sites in the Souris River Basin in North Dakota, Saskatchewan, and Manitoba. Each file contains information on major ions (MI), nutrients (NUT), trace metals (TM), sediment (SED), and dissolved oxygen (PHY). These data contain numerous columns that are described in the entity and attributes of these files. These files contain the water-quality observations for the statistical summary tables in the report cited in this data release (Nustad and Tatge, 2023).The siteinfo.table.csv file can be used to cross reference the sites with the main report (Nustad and Tatge, 2023).
Water-quality data at selected sites in the Souris River Basin, North Dakota, USA and Saskatchewan and Manitoba, Canada, 1970-2020
공공데이터포털
A comprehensive study to evaluate water-quality trends in the International Souris River Basin, Saskatchewan and Manitoba, Canada and North Dakota, United States was completed by the U.S. Geological Survey (USGS) in cooperation with the International Joint Commission and International Souris River Board. This page contains water-quality data for stream and reservoir sites in the Souris River Basin in North Dakota, Saskatchewan, and Manitoba. Each file contains information on major ions (MI), nutrients (NUT), trace metals (TM), sediment (SED), and dissolved oxygen (PHY). These data contain numerous columns that are described in the entity and attributes of these files. These files contain the water-quality observations for the statistical summary tables in the report cited in this data release (Nustad and Tatge, 2023).The siteinfo.table.csv file can be used to cross reference the sites with the main report (Nustad and Tatge, 2023).