Data Releases
The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata that facilitates access and integration.
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Data Release for the 2023 U.S. 50-State National Seismic Hazard Model - Overview
This data release contains data sets associated with the 2023 50-State National Seismic Hazard Model Update. The 2023 50-State National Seimsic Hazard Model (NSHM) Update includes an update to the NSHMs for the conterminous U.S (CONUS, last updated in 2018), Alaska (AK, last updated in 2007), and Hawaii (last updated in 2001). Data sets include inputs like seismicity catalogs used as input to the
Data for a Pilot Study Characterizing Future Climate and Hydrology in Massachusetts
The U.S. Geological Survey has developed tools for projecting twenty-first century climate and hydrologic risk in Massachusetts in collaboration with Cornell University and Tufts University. These tools included a Stochastic Weather Generator (SWG). Output from the SWG is in this data release. The release includes daily precipitation and minimum and maximum air temperature for a 64-year period in
Geospatial Sampling Information for the Inventory of Montane-nesting Birds in the Arctic Network of National Parks, Alaska, 2001-2003
This package contains information collected during avian and habitat survey data at five national parks/monuments: Cape Krusenstern National Monument, Gates of the Arctic National Park and Preserve, Kobuk Valley National Park, Noatak National Preserve, and Bering Land Bridge National Preserve. The objectives of the surveys were to document the occurrence of 90 percent of the bird species likely to
High-Resolution Land Cover Maps of Lāna‘i, Hawai‘i, 2020
This dataset provides high-resolution, species-specific land cover maps for the Hawaiian island of Lāna'i based on 2020 WorldView-2 satellite imagery. Machine learning models were trained on extensive ground control polygons and points. The land cover maps capture the distribution and diversity of vegetation with high accuracy to support conservation planning and monitoring. This data release cons
Training and validation data from the AI for Critical Mineral Assessment Competition
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address this limitation, the USGS partnered with the Defense Advanced Research Projects Agency (DARPA) to run the AI for Critical Mineral Assessment Competition, soliciting innovative solutions for automatically georeferencing and
Modeling data for burn severity of the East Troublesome and Grizzly Creek for integration with post-fire debris flow in the upper Colorado River basin, USA
These data were compiled for/to provide an example and assess methods and results of pre-fire estimation of predicted differenced normalized burn ration (dNBR) for predicting post-fire debris flow hazard classification. Objective(s) of our study were to develop predictive models for burn severity, using variables of pre-fire conditions, for two large wildfires from 2020 in Colorado, USA. These dat
Earthquake geology inputs for the U.S. National Seismic Hazard Model (NSHM) 2023 (western U.S.) (ver. 3.0, December 2023)
This Data Release contains version 3.0 of two related earthquake geology databases for use in the 2023 U.S. National Seismic Hazard Model. The databases are: 1) A fault sections database (“NSHM23_FSD_v3”), which depicts the geometry of faults capable of hosting independent earthquakes, and 2) an earthquake geology site information database (“NSHM23_EQGeoDB_v3”), which contains fault slip rate cons
Elevation Data from Fountain Creek between Colorado Springs and the Confluence of Fountain Creek at the Arkansas River, Colorado, 2023
The U.S. Geological Survey, in cooperation with Colorado Springs Utilities, has been collecting topographic data annually since 2012 at 10 study areas along Fountain Creek, Colorado. The 10 study areas are located along Fountain Creek between Colorado Springs and the confluence of Fountain Creek and the Arkansas River in Pueblo. This data release presents topographic survey data, Light Detection a
MODFLOW-NWT Model Used to Evaluate Stream Capture Related to Groundwater Pumping, Lower Humboldt River Basin, Nevada (ver. 1.1, March 2024)
A three-dimensional groundwater flow model using MODFLOW-NWT was developed to evaluate historical and potential stream capture in the lower Humboldt River Basin, Nevada. The Humboldt River Basin is the only river basin that is contained entirely within the state of Nevada. The effect of groundwater pumping on the Humboldt River is not well understood. Tools are needed to determine stream capture a
LANDFIRE 2022 (230) Update
The LANDFIRE (LF) 2022 Update represents another step in moving towards an annual update. This update is the first time in LANDFIRE history in which disturbances from the year before are represented in current year products. LF 2022 includes adjustments to vegetation and fuels in disturbed areas for disturbances recorded in 2021 and 2022.
Water quality modeling results of total phosphorus for the lower Boise River near Parma, Idaho 2002 - 2021
Three water-quality models were generated to estimate total phosphorus (TP) concentrations and loads from 2002 – 2021 in the Boise River near Parma, Idaho. A Weighted Regression on Time Discharge and Season (WRTDS) model and a Weighted Regression on Time Discharge and Season with Kalman filtering (WRTDS-K) model were generated using all observations within the study period to quantify rate of chan
Daily reference and potential evapotranspiration, and supporting meteorological data from the Weather Research and Forecasting (WRF) model, solar insolation data from the GOES satellite, and blue-sky albedo data from the MODIS satellite, Southeastern Unit
Potential evapotranspiration (PET), and reference evapotranspiration (ETo) are estimated at a 1-kilometer spatial resolution and daily time-scale from January 1, 2022 to December 31, 2022 for Florida, Alabama, Georgia, South Carolina, and parts of Mississippi, North Carolina, and Tennessee. PET and ETo were computed on the basis of solar radiation, meteorological data (min/max temperature, min/max