This USGS data release contains products that resulted from aquatic species distribution modeling in the United States on the National Hydrography Dataset Plus Version 2.1. Source data, supporting code and model results are documented in this data release. The file species_model_list.csv provides a list of most recent models for each combination of species, habitat, and region.

These data from Evaluation and Review of Ecology-Focused Stream Studies to Support Cooperative Monitoring, Fountain Creek Basin, Colorado were used to describe temporal trends in fish communities in the basin. Fish data were collected at U.S. Geological Survey (USGS) sites between 2003 and 2022. Datasets include fish frequency of occurrence, flathead chub catch per unit of effort, and a list of fish species collected.

These data from Evaluation and Review of Ecology-Focused Stream Studies to Support Cooperative Monitoring, Fountain Creek Basin, Colorado were used to describe temporal trends in fish communities in the basin. Fish data were collected at U.S. Geological Survey (USGS) sites between 2003 and 2022. Datasets include fish frequency of occurrence, flathead chub catch per unit of effort, and a list of fish species collected.

This USGS data release documents species distribution models for 419 fluvial fish species in their native ranges of the conterminous United States. Source data, supporting code and model results are documented in this data package. Boosted Regression Tree (BRT) models were used to develop presence/absence predictions for each of the National Hydrography Dataset Plus Version 2.1 stream segments within a species' native range. The predictions provided can be linked to the NHDPlusV2.1 geospatial dataset through the Common identifier of an NHDFlowline feature (COMID) to create a spatial depiction of the models. A readme file and metadata (xml) provide further information on included data and processing steps.

This USGS data release documents species distribution models for 419 fluvial fish species in their native ranges of the conterminous United States. Source data, supporting code and model results are documented in this data package. Boosted Regression Tree (BRT) models were used to develop presence/absence predictions for each of the National Hydrography Dataset Plus Version 2.1 stream segments within a species' native range. The predictions provided can be linked to the NHDPlusV2.1 geospatial dataset through the Common identifier of an NHDFlowline feature (COMID) to create a spatial depiction of the models. A readme file and metadata (xml) provide further information on included data and processing steps.

This USGS data release documents species distribution models for 271 fluvial fish species in their native ranges of the conterminous United States. Source data, supporting code and model results are documented in this data package. Boosted Regression Tree (BRT) models were used to develop presence/absence predictions for each of the National Hydrography Dataset Plus Version 2.1 stream segments within a species' native range. The predictions provided can be linked to the NHDPlusV2.1 geospatial dataset through the COMID to create a spatial depiction of the models. A readme file and metadata (xml) provide further information on included data and processing steps.

This data release contains the output from an ecological analysis modeling the exposure of 214 fish taxa across the conterminous US (CONUS) to an index of surface water supply and use imbalances (SUI), the proportion of monthly gross average water supply available after accounting for climate variation and consumptive use, during their spawning months, hereafter referred to as spawning exposure. SUI were calculated in Miller and others (2024) by combining the monthly water balance from water supply and human consumptive uses for CONUS from water years 2010-2020 at the HUC12 scale. Water supply inputs were generated from two physically-based hydrologic models, and consumptive water use was calculated from three separate national models for agricultural irrigation, thermoelectric power generation, and public supply. Water budgets were routed through the surface water flow network (to allow for upstream consumptive uses to affect downstream water availability) and used to determine potential water limitations for human populations and fish taxa. We overlaid water supply imbalances with the modeled ranges of 241 fish taxa, including Species of Greatest Conservation Need, recreationally important, and common native taxa. SUI were evaluated within each HUC12 and specifically mean weighted based on the probability of spawning in each month for each taxa. Our analyses indicated multiple taxa having notable proportions of their habitats exposed to high or severe water imbalances during spawning, especially the federally-listed Arkansas River shiner. This analysis can be used to identify fish taxa particularly exposed to water availability issues, specifically from surface water supply and use imbalances, during the physiologically important spawning period. However, this analysis did not consider specific taxa-level differences as to the sensitivity of different taxa to limited water supply. This data release contains five tabular datasets in comma-separated values (.csv), covering a tabular data dictionary, input data supporting analysis, raw analysis output, and summarized versions at two spatial scales for convenience. They are: 1) data_dictionary.csv - A data dictionary containing entity and attribute information about variable names, descriptions, types, ranges, and unique values for easy access. 2) SpawningExposure_TaxaSpawningWeights.csv - Dataset used to weigh spawning months for each taxon in calculation of the spawning exposure. Derived from Frimpong and Angermeier, 2011. 3) SpawningExposure_SUI_HUC12.csv - CONUS level dataset of spawning exposure to SUI from 2010-2020 for each fish taxa reported for each HUC12 where they are present. 4) SpawningExposure_SUI_CONUS_Summary.csv - A summary of spawning exposure to SUI by fish taxa, for the entire habitat range in CONUS, the range-averaged SUI exposure and percentage of habitat in each SUI category class. 5) SpawningExposure_SUI_Regional_Summary.csv - Summaries of spawning exposure to SUI by fish taxa, for each Van Metre (2020) hydrologic region, the region range-average exposure and percentage of the region's habitat range in each SUI category class.

The U.S. Geological Survey (USGS) developed a regression model for estimating mean August baseflow per square mile of drainage area in cooperation with National Oceanic and Atmospheric Administration (NOAA) to help resource managers assess relative amounts of baseflow in streams with Maine Atlantic Salmon habitat (Lombard and others, 2021). The model was applied to each reach of a stream network derived from select National Hydrography Dataset Plus High-Resolution (NHDPlusHR) data in the State of Maine south of 46º 21′55″ N latitude. The spatial coverage developed from the stream network contains model-estimated mean August baseflow per square mile of drainage area as an attribute of each NHDPlusHR reach. It is provided here as a shapefile (“Maine_Mean_August_Baseflow_Map.zip”) and published as a Web Map Service (WMS) layer that is hosted as a state map layer on the StreamStats web application for Maine (https://streamstats.usgs.gov/ss/). Please note that the regression equation from Lombard and others (2021) used to calculate model-estimated mean August baseflow values was adapted for English units for this application. The adapted equation is as follows: BFaug = -0.623 + 0.00988AQ + 0.241JULYAVEPRE Where BFaug is the mean August baseflow in cubic feet per second per square miles of drainage area; AQ is the fraction of the basin underlain by sand and gravel aquifers; and JULYAVEPRE is the basin-wide average of the mean July precipitation in inches. The model has an adjusted coefficient of determination (R²) of 0.78 and a mean 95% prediction interval of plus or minus 0.183 cubic feet per second per square mile.

Represents spatial predictions of biological condition at unsampled streams and lakes across the counterminous US. Also includes spatial predictions channel dimensions of unsamples streams. This dataset is not publicly accessible because: Demonstrated methodology for how they proposed to do the research. Produced prelimiary results, and used them to highlight limitations in current modeling. Data should not be accessed by the public, as it is still preliminary data. Another paper will be written at a later date that will include the final data. It can be accessed through the following means: It's not accessable at this time - preliminary data. Format: Tables with 1.1 million records for streams and 200,000 records for lakes - a combination of the StreamCat / LakeCat / NARS data that is already avaiable on epa external webpages. This dataset is associated with the following publication: Hill, R.A., C. Moore, J. Doyle, S. Leibowitz, P. Ringold, and B. Rashleigh. Estimating biotic integrity to capture existence value of freshwater ecosystems. PNAS (PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES). National Academy of Sciences, WASHINGTON, DC, USA, 120(8): e2120259119, (2023).

The dataset contains long-term and short-term summaries of streamflow alteration and measures of biological condition (fish multi-metric index). Streamflow alteration metrics include the magnitude, duration, frequency, and seasonality of high and low flow streamflow. Biological condition was estimated from the National Rivers and Streams Assessment and National Water Quality Assessment fish sampling programs. Using fish samples, a fish multi-metric index was calculated and categorized into altered versus non-altered fish communities.