Filters: Tags: Lotic (X) > partyWithName: U.S. Geological Survey (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,
This shapefile contains cumulative fish habitat condition index (HCI) scores as well as specific disturbance indices for local and network catchments of Southeast Alaska. Catchments were created in support of Jared Ross's Master’s thesis. The source datasets compiled and attributed to spatial units were identified as being: (1) meaningful for assessing fluvial fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) broadly representative of conditions in the past 10 years, and (4) of sufficient spatial resolution that they could be used to make valid comparisons among local catchment units. Citations: Ross, J.A. Influences of timber management and natural landscape factors...
Categories: Data;
Types: ArcGIS REST Map Service,
Citation,
Map Service;
Tags: 2015 National Assessment,
2015 National Assessment,
DataProduct,
Direct habitat alteration,
Environmental condition,
This database is the result of an extensive literature search aimed at identifying documents relevant to the emerging field of dam removal science. In total the database contains 296 citations that contain empirical monitoring information associated with 207 different dam removals across the United States and abroad. Data includes publications through 2020 and supplemented with the U.S. Army Corps of Engineers National Inventory of Dams database, U.S. Geological Survey National Water Information System and aerial photos to estimate locations when coordinates were not provided. Publications were located using the Web of Science, Google Scholar, and Clearinghouse for Dam Removal Information.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Australia,
Austria,
Canada,
Connectivity,
Dam Removal,
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,
THIS IS A HISTORICAL RECORD. As of December 17, 2021, the BISON application will no longer be available online and has been replaced by https://www.gbif.us. The BISON APIs are still available at https://bison.usgs.gov/#api and the Integrated Publishing Toolkit is still available at https://bison.usgs.gov/ipt. The USGS Biodiversity Information Serving Our Nation (BISON) project is an online all-species mapping information system consisting of a large collection of species occurrence datasets (e.g., plants and animals) found in the United States, U.S. Territories, U.S. marine Exclusive Economic Zones (EEZ), and Canada, with relevant geospatial layers. Species occurrences are records of organisms at a particular...
This CSV file contains 21 dam metrics representing stream fragmentation and flow alteration for nearly 2.3 million stream reaches in the conterminous USA. Dam metrics fall into four main categories: segment-based, count and density, distance-based, and cumulative reservoir storage (described below). These data were developed using spatially verified large dam locations (n=49,468) primarily from the National Anthropogenic Barrier Dataset (NABD) that were spatially linked to the National Hydrography Dataset Plus version 1 (NHDPlusV1). These dam metrics have been summarized using the unique identifier field native to the NHDPlusV1 (COMID) which can be used to join this table to spatial layers and data tables of the...
Categories: Data;
Types: Citation;
Tags: 2015 National Assessment,
2015 National Assessment,
2015 National Assessment,
Alabama,
Arizona,
This CSV file contains landscape factors representing anthropogenic disturbances to stream habitats summarized within local and network stream catchments as well as 90 m local and network buffer of stream reaches throughout the conterminous U.S. The source datasets compiled and attributed to spatial units were identified as being: (1) meaningful for assessing fluvial fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) broadly representative of conditions in the past 10 years, and (4) of sufficient spatial resolution that they could be used to make valid comparisons among local catchment units. Variables summarized at the catchment scale include measures of anthropogenic...
Categories: Data;
Types: Citation;
Tags: Alabama,
Anthropogenic factors,
Arizona,
Arkansas,
California,
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)....
This dataset contains information about waterfall locations and estimated waterfall heights on five of the main Hawaiian Islands including Kauai, Oahu, Maui, Molokai, and Hawaii. Initial spatial information was gathered from the National Hydrography Dataset (NHD), Geographic Names Information System (GNIS), the Hawaii Statewide GIS Program, and the World Waterfall Database. Where image quality permitted, the coordinates and spatial attributes from source data were used to verify and improve the quality of waterfall locations using Google Earth Pro (Google Inc. 2017)and the USGS HydroLink Tool. The HydroLink Tool was also used to link data to both the NHDPlusV2.1 and NHD High Resolution datasets by adding NHD addressing...
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