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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Soil moisture monitoring following the 2009 Station Fire, California, USA, 2016-2019
This data release includes 2016-2019 soil moisture timeseries for two drainage basins ("Arroyo Seco" and "Dunsmore Canyon") that burned during the 2009 Station Fire in Los Angeles County, California, USA. The Arroyo Seco (0.01 km2) and Dunsmore Canyon (0.5 km2) drainages include two soil pits, one located near the drainage divide and another near the basin outlet. Following the naming convention e
Spatial patterns of dewatering within watersheds of Shenandoah National Park, Virginia 2016 - 2021 (ver. 2.0, December 2021)
These data describe longitudinal (upstream to downstream) patterns of dewatering during summer baseflow (July-September) conditions in nine watersheds in Shenandoah National park. In July-August of 2016 all nine watersheds (Jeremy's Run, Hazel River, Piney River, Hughes River, Staunton River, Whiteoak Canyon Run, Paine Run, Meadow Run, and Big Run) were evaluated for dewatering. In September of 20
Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Michigan Flume 2
These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the t
Low-altitude visible and multispectral imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Ohio Surface Water 1
These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the t
Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Bioreactor
These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the t
Low-altitude visible imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Indiana Surface Water 1 and 2
These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the t
Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Surface Water 4 and 5
These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the t
Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - Wisconsin Surface Water 3
These orthophotos and digital surface model (DSM) were derived from low-altitude (approximately 92-m above ground surface) images collected from Unmanned Aerial System (UAS) flights over edge-of-field sites that are part of U.S. Geological Survey (USGS) Great Lakes Restoration Initiative (GLRI) monitoring. The objective of this UAS photogrammetry data collection was to provide information on the t
Channel geometry for upstream and downstream cross sections at selected bridge sites in Montana, 2020
The U.S. Geological Survey, in cooperation with the Montana Department of Transportation (MDT), collected cross-section data on the upstream and downstream sides at selected bridges in Montana during the 2020 calendar year. The purpose of the data collection is to determine if scour and channel instability occur in the vicinity of the bridge structures. Data were processed, analyzed, and compiled
Tracking Data for Greater White-fronted Geese (Anser albifrons)
This metadata document describes VHF tracking data for Greater White-fronted Geese (Anser albifrons) that were marked annually from 1987 to 1991 in Alaska and the Klamath Basin (Oregon and California) and subsequently tracked through the Pacific Flyway (primarily in Alaska, California, and Mexico). Only tracking data for geese marked or located, at least once, in Alaska are included in this data p
Measurement of seepage at Newtown Creek, NY, May-June 2015
Rates of flow across the sediment-water interface (seepage), measured every 5 seconds with an automated seepage meter and summarized every minute with a digital datalogger, are presented for 17 measurement locations at Newtown Creek, NY. Final values are presented in cm/day. An electromagnetic seepage meter, custom made for USGS by Quantum Engineering, was capable of measuring seepage averaged eac
Update of the Mineral Resources Data System for California including Mineral Deposit Types
There are more than 42,000 entries in the USGS Mineral Resources Data System (MRDS) for the State of California. Previously, the field for deposit type was sparsely populated, which made it difficult to evaluate mine sites needing environmental remediation. This has been rectified by populating the deposit type field using 100 deposit types cited in previous USGS publications, and 137 provisional