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This USGS data release is intended to provide a baselayer of information on likely stream crossings throughout the United States. The geopackage provides likely crossings of infrastructure and streams and provides observed information that helps validate modeled crossings and build knowledge about associated conditions through time (e.g. crossing type, crossing condition). Stream crossings were developed by intersecting the 2020 United States Census Bureau Topologically Integrated Geographic Encoding and Referencing (TIGER) U.S. road lines with the National Hydrography Dataset High Resolution flowlines. The current version of this data release specifically focuses on road stream crossings (i.e. TIGER2020 Roads)...
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 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.
Categories: Data;
Tags: Aquatic Biology,
USGS Science Data Catalog (SDC),
aquatic biology,
biogeography,
fish,
These tabular data are summaries of land use/land cover related variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as land use/land cover related contain all land use and land cover data including datasets that are split off or combined from those data (eg. agriculture or impervious classes only datasets). Outputs consist of tabular comma-separated values files (CSVs) for both the local catchment and network summaries linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment the data is summarized within. Network accumulation summaries were...
These tabular data are summaries of climate related variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as climate related include temperature and precipitation by both annual and monthly values. Outputs consist of tabular comma-separated values files (CSVs) for the local catchment and network summaries linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment the data is summarized within. Network accumulation summaries were completed for each of the local catchments and their network-connected upstream catchments. The summarized data tables...
This dataset provides cost estimates for 668 dam removal projects occurring in the United States. Cost estimates were obtained by searching the internet for sources of information that mention the cost of dam removal projects listed in the USGS Dam Removal Information Portal. When cost data were not available for a dam removal but contact information was, then personal communications were used to acquire additional cost information. The accuracy of estimates is not known but we assume that most estimates represent close to the total cost or the minimum financial cost, with overestimates being rare. Total cost information could include component costs related to project planning, dam deconstruction cost, and several...
Categories: Data,
Data Release - In Progress;
Tags: United States,
dam sites,
ecosystem restoration,
environment,
inlandWaters,
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,
These tabular data are summaries of human related landscape variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as human related include agriculture, barriers, road density and road/stream crossing data. Outputs consist of tabular comma-separated values files (CSVs) for both local catchment and network summaries linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment the data is summarized within. Network accumulation summaries were completed for each of the local catchments and their network connected upstream and/or downstream catchments....
The Aquatic Gap Project represents the portion of the USGS Gap Analysis Project that focuses on aquatic species found in coastal and inland waters. The goal of the National Aquatic GAP is to evaluate aquatic biological diversity and habitats using spatial analysis and species distribution models to identify gaps in species protection or threats to habitats in order to work toward more effective conservation planning and prioritization. Our current efforts are focused on modeling the rangewide distribution of fish species which are wide ranging, non-habitat specialist, and of specific interest to our natural resource management agency and conservation partners.
Categories: Collection
These tabular data are summaries of natural environment related variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as natural environment related include topography, soils/geology, hydrology/geomorphology, and other physical aspects of surface waters (temperature, flow, etc.). Outputs consist of tabular comma-separated values files (CSVs) for the local catchment linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment the data is summarized within. The summarized data tables are structured as a single column representing the catchment id...
This is an experimental collection that implements an information model for biogeographic information. We are building this on the conceptual foundation from the Global Change Information System. We are using the Biogeographic Information System, accessed via the ScienceBase API, as a basis to drive an experimental new map interface (National Biogeographic Map) and a developing iterative report concept (National Biodiversity Assessment).
The Dam Removal Information Portal (DRIP) is an online representation and visualization tool for the USGS Dam Removal Science Database, inspired by Bellmore et al. 2015 and now developed as a live data system in ScienceBase as part of the Biogeographic Information System. DRIP provides a map-based visualization of information of dam removals and associated scientific studies. The database was developed in cooperation with the NGO, American Rivers, who also provides data on other dam removals that lack associated scientific studies. The original software for the online DRIP application was developed in cooperation with AppGeo. Basic information about the dam’s location, size, date built and date removed are provided...
Climate change is expected to alter the distributions and community composition of stream fishes in the Great Lakes region in the 21st century, in part as a result of altered hydrological systems (stream temperature, streamflow, and habitat). Resource managers need information and tools to understand where fish species and stream habitats are expected to change under future conditions. Fish sample collections and environmental variables from multiple sources across the United States Great Lakes Basin were integrated and used to develop empirical models to predict fish species occurrence under present-day climate conditions. Random Forests models were used to predict the probability of occurrence of 13 lotic fish...
Types: Citation;
Tags: Aquatic Biology,
Great Lakes,
Great Lakes,
USGS Science Data Catalog (SDC),
Water Resources,
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...
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)....
The National Fish Habitat Partnership (NFHP) Data System provides a means for the partnership to manage, access and visualize data products from across the partnership. Although components of the data system may change with evolving technologies, we plan to continue cataloging NFHP data products in USGS ScienceBase.
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