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Compilation of topographic data, aerial imagery, and land cover classification, collected between 1984 to 2021 for an aeolian dune field near Lees Ferry, AZ
Bathymetric and supporting data for estimation of reservoir storage capacity and geomorphic change detection analysis from a multibeam bathymetric survey of Randy Poynter Lake, Rockdale County, Georgia
Digitized sonic velocity and density log data of Sacramento Valley, California
Sonic velocity and density well logs in the Sacramento Valley in California were digitized by hand. These logs are available as scanned files (pdfs and tiffs) on the California Division of Oil, Gas, and Geothermal Resources website and the data consist of transit times and bulk density measured downhole in oil and gas wells in the region. Sonic velocity and density data were also compiled from a n
Supplemental groundwater level, spring flow, and streamflow data for the Water Resources Inventory of the Las Cienegas National Conservation Area, Southeastern Arizona
Data Release for the 2023 U.S. 50-State National Seismic Hazard Model - Overview
Data for a Pilot Study Characterizing Future Climate and Hydrology in Massachusetts
Geospatial Sampling Information for the Inventory of Montane-nesting Birds in the Arctic Network of National Parks, Alaska, 2001-2003
High-Resolution Land Cover Maps of Lāna‘i, Hawai‘i, 2020
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