Filters: Tags: NHDPlusV2 (X)
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These data depict the National Hydrography Dataset Plus Version 2.1 (NHDPlusV2.1) flowline representation of the National Wild and Scenic Rivers System throughout the conterminous United States as of 2018. U.S. Forest Service geospatial data on National Wild and Scenic River segments (USFS WSR Segment) from 3/1/2016 were joined to the NHDPlusV2.1 to create the Wild and Scenic Rivers 2018 Linked to the NHDPlusV2.1 (wsr_nhdpv2.1) data. To ensure these data correctly represented the NHDPlusV2.1 flowline delineation of the National Wild and Scenic Rivers System, each wsr_nhdpv2.1 river segment was examined against the USFS WSR Segment data to check for duplication and/or omission of Wild and Scenic River segments. Spatial...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
Arizona,
Arkansas,
California,
Colorado,
Fish occurrence data to support high-resolution distribution models and test various community and macroecological hypotheses have not been available at the national scale. We present IchthyMaps, a database of high-quality historical fish occurrences covering fishes of the conterminous United States. Designed on the principles of metacommunity ecology, IchthyMaps is a compilation of presence records from atlases up to 1990, at the resolution of the 1:100,000 National Hydrography Database Plus (NHDPlus) inter-confluence stream segment, readily aggregated into hierarchically coarser units (e.g. hydrologic unit code 8-digit and 12-digit watersheds). IchthyMaps contains about 606,550 presence records for 1,038 species...
Categories: Data,
Publication;
Types: Citation;
Tags: Alabama,
Arizona,
Arkansas,
Biological Data,
Biological sampling,
Abstract (from http://www.springerplus.com/content/3/1/589): The growing quality and availability of spatial map layers (e.g., climate, geology, and land use) allow stream studies, which historically have occurred over small areas like a single watershed or stream reach, to increasingly explore questions from a landscape perspective. This large-scale perspective for fluvial studies depends on the ability to characterize influences on streams resulting from throughout entire upstream networks or catchments. While acquiring upstream information for a single reach is relatively straight-forward, this process becomes demanding when attempting to obtain summaries for all streams throughout a stream network and across...
Categories: Publication;
Types: Citation;
Tags: Aggregation,
Digitized stream network,
GIS,
Habitat Characterization,
Landscape information,
Each year the U.S. Environmental Protection Agency (EPA) reports permit, location, and discharge information for facilities across the United States and its territories through the Discharge Monitoring Report (DMR). Because these data are cataloged through a variety of systems, including self-reporting, there are discrepancies that may lead to incorrect spatial interpretation of content in the database. The processing of this quality assessed and modified dataset included steps to evaluate the accuracy and potential limitations of DMR data between 2007 and 2019. Attributes within this tabular dataset include facility and outfall locations as well as confidence ratings for those locations, and hydrologic unit code...
This GeoJSON dataset contains information about 10780 waterfall and 1080 rapid locations (referred to as falls throughout the metadata) and characteristics (e.g. type and height) for the conterminous United States. This dataset centralizes known information about falls while providing basic quality control (i.e. resolving duplicate records and spatial accuracy checks) and linkages to stream networks intended to facilitate stream network analyses. Locations of falls were sourced from the World Waterfall Database (WWD, www.worldwaterfalldatabase.com), the US Forest Service Center for Aquatic Technology Transfer (acquired from Southeast Aquatic Barrier Inventory), and Geographic Names Information System (GNIS, https://geonames.usgs.gov)....
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