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.
Vegetation greenness observations by dune crest elevation, East and West Ship Island, Mississippi 2008-2009
Data for Regression Models to Estimate Water Use in Providence, Rhode Island, 2014-2021
Surface and subsurface geologic data from previous USGS studies of the Gulf Coast region, south-central United States
Point locations and species and behavioral identifications of colonial nesting seabirds on Maine's coastal islands interpreted from 2019 plane-based imagery
Vertical Profiles of Water Quality and Light in Owasco, Seneca, and Skaneateles Lakes, Finger Lakes Region, New York, 2019-2020
Waterfowl Lead Exposure Data in Alaska and Russia
Hydrogeologic Framework data and models for the Eel River groundwater basin, Humboldt County, California
Habitat use and trends of landbirds using National Wildlife Refuges along the northern Gulf of Mexico during migration
Attributed North American Grid-Based Offshore Sampling Frames
Ground Penetrating Radar Profiles collected in Charleston, SC, in June 2015 for imaging shallow faults
Annual Nutrient Loads at Illinois EPA Ambient Water Quality Monitoring Network Sites, Water Years 1976–2021
National-scale, remotely sensed lake trophic status 1984-2020
Lake trophic status is a key water quality property that integrates a lake's physical, chemical, and biological processes. Despite the importance of trophic status as a gauge of lake water quality, standardized and machine readable observations are uncommon. Remote sensing presents an opportunity to detect and analyze lake trophic status with reproducible, robust methods across time and space.