Data
Filter Total Items: 3532
Monitoring Trends in Burn Severity (ver. 12.0, April 2025) Monitoring Trends in Burn Severity (ver. 12.0, April 2025)
The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (including wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500...
Groundwater data and age information from samples collected in Minnesota (ver. 3.0, December 2025) Groundwater data and age information from samples collected in Minnesota (ver. 3.0, December 2025)
Groundwater age distributions and susceptibility to natural and anthropogenic contaminants were assessed for selected wells, streambed piezometers, and springs in southeastern Minnesota. The data provide information to understand how long it will take to observe groundwater quality improvements from best management practices implemented at land surface to reduce losses of nitrate (and...
Database of Stream Crossings in the United States Database of Stream Crossings in the United States
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...
U.S. Register of Introduced and Invasive Species (US-RIIS), all versions U.S. Register of Introduced and Invasive Species (US-RIIS), all versions
This is the landing page for all versions of the United States Register of Introduced and Invasive Species (US-RIIS). The US-RIIS is comprised of three lists, one each for Alaska (AK), Hawaii (HI), and the conterminous United States (L48). Each list includes taxonomic and ecological information about introduced (non-native), established (reproducing) taxa that: are, or may become...
United States Register of Introduced and Invasive Species (US-RIIS) United States Register of Introduced and Invasive Species (US-RIIS)
Introduced (non-native) species that becomes established may eventually become invasive, so tracking introduced species provides a baseline for effective modeling of species trends and interactions, geospatially and temporally. The United States Register of Introduced and Invasive Species (US-RIIS) is comprised of three lists, one each for Alaska (AK, with 532 records), Hawaii (HI, with...
Geospatial Data to Assess Karst Aquifer Systems Between Albany and Buffalo, New York (ver. 4.0, January 2024) Geospatial Data to Assess Karst Aquifer Systems Between Albany and Buffalo, New York (ver. 4.0, January 2024)
Publicly available geospatial data were identified, collated, and analyzed for a region of karst terrain extending from Albany to Buffalo, New York. A series of geospatial datasets were assembled to determine the location and extent of karstic rock; bedrock geology and depth to bedrock; average water-table configuration; surficial geology; soil type, thickness, and hydraulic conductivity...
Dam Removal Information Portal Dashboard Python Dash Software Dam Removal Information Portal Dashboard Python Dash Software
The Dam Removal Information Portal (DRIP) contains information about the geographic locations of dam removals and any associated scientific studies evaluating outcomes to physical, biological, and water quality parameters. This application uses Python DASH to help distribute and visualize information from the Dam Removal Information Portal API (DRIP API).
pydrip - Software to manage and update data for DRIP pydrip - Software to manage and update data for DRIP
This package handles retrieval and preparation of the source data for DRIP. Source data currently come from two sources. The Dam Removal Science Database is distributed by USGS in ScienceBase (https://doi.org/10.5066/P9IGEC9G) and a complete list of dam removals is distributed by American Rivers in Figshare. We provide these efforts as a package in order to support full transparency on...
Protected Areas Database of the United States (PAD-US) 2.1 - World Database on Protected Areas (WDPA) Submission (ver 1.1, April 2021) Protected Areas Database of the United States (PAD-US) 2.1 - World Database on Protected Areas (WDPA) Submission (ver 1.1, April 2021)
The United States Geological Survey (USGS) - Science Analytics and Synthesis (SAS) - Gap Analysis Project (GAP) manages the Protected Areas Database of the United States (PAD-US), an Arc10x geodatabase, that includes a full inventory of areas dedicated to the preservation of biological diversity and to other natural, recreation, historic, and cultural uses, managed for these purposes...
xstrm xstrm
Python package to assist with stream network summarization. This package is intended to support efforts for any stream network having general topology (i.e. to/from nodes). Specifically this package was built to support fisheries based analyses using multiple versions of the National Hydrography Database Plus (NHDPlus) representing streams within the United States along with HydroBasins...
Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic (ver. 12.0, April 2025) Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic (ver. 12.0, April 2025)
The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the...
PubLink PubLink
Understanding how data are used across the scientific community provides many benefits to data authors, including building a better awareness and comprehension of 1) a dataset's scientific impact, 2) use cases to direct future versions, and 3) related efforts. Effectively tracking when and how data are used in the literature through time can be challenging. This is in part due to a lack...