Data

Lidar data was collected on 24 and 25 May 2017 at the USGS debris-flow flume to monitor two gate-release debris flow experiments. A static prism of sediment was emplaced behind a gate at the top of the flume. Water was added via sprinklers to the surface and also via pipes to the subsurface, in order to saturate the sediment mass. The sediment mass moved down the flume as a debris flow...

Lidar data were collected on 17 May 2017 at the USGS debris-flow flume (44.215, -122.254) to monitor the movement of a constructed landslide experiment. A static prism of sediment was emplaced behind a retaining wall at the top of the flume. Water was added via sprinklers to the surface and also via pipes to the subsurface, in order to saturate the sediment mass. The sediment mass...

These data are derived from four lidar surveys: one airborne survey in 2006 and three terrestrial surveys in 2016, 2017, and 2018. These surveys were used to generate better quantitative understanding of changes associated with fluvial system process along the reach of the Tuolumne River as it traverses Tuolumne Meadows. This research was performed to provide science for decision support...

The U.S. Geological Survey (USGS)Coastal Change Hazards Technical Capabilities and Applications (TCA) project aims to identify areas of the nation’s coastline that are most vulnerable to extreme storms and long-term shoreline change. These assessments require coastal elevation data across diverse geographic regions and covering a time span of many years. The datasets published here...

Measurements of liquid water content (LWC) of coastal fog events were collected using specialized fog water collection units during the hot dry summer season (July to September) and continued through the winter. These data were assembled to explore the potential of fog water collection as a water resource for Midpeninsula Regional Open Space District public lands in San Mateo County...

ListingAnalyst has been updated to work with MODFLOW 6 and the most recent versions of MODFLOW-2005 and MODFLOW-NWT. In addition to recognizing many additional error and warning messages, it also recognizes data for the Riparian package in MODFLOW-OWHM, the AG package in MODFLOW-NWT and the Surface-Water Routing package.

This data release provides the descriptions of approximately 20 U.S. sites that include mineral regions, mines, and mineral occurrences (deposits and prospects) that contain enrichments of lithium (Li). This release includes sites that have a contained resource and (or) past production of lithium metal greater than 15,000 metric tons. Sites in this database occur in Arkansas, California...

The "Li_Triangle_ARG_MRP_NMIC.gdb" geospatial database was developed by the U.S. Geological Survey for use in a geographic information system (GIS) to support mineral resource research and assessment of lithium resources in the Argentina portion of the central South American Lithium Triangle. The Lithium Triangle is host to significant amounts (nearly 60%) of the worlds known (identified...

This data set includes taxonomic data for zooplankton, larval fish, and phytoplankton sampled in Little Holland Tract and Liberty Island Conservation Bank, in the northern Sacramento-San Joaquin River Delta, California. Zooplankton and larval fish were collected with target specific trawl nets and phytoplankton was collected from water grabs. This data release includes all measured...

These data were compiled for a mtDNA (CO1 gene) analysis of net-spinning caddisflies (Hydropsyche oslari) in the Colorado River Basin of the western United States. They were incorporated in a study that investigated the genetic diversity and population structure of H. oslari relative to the river network structure in the Upper and Lower Colorado River Basins. The data were collected from...

These data provide the locations and phenological dates of three shrub species: beaked hazelnut (Corylus cornuta), Oregon grape (Mahonia aquifolium), and salal (Gaultheria shallon), collected from various publicly available data sources including data from USFS Forest Inventory and Analysis program, USFS R-6 Ecology Program, US National Park Service, USDI Bureau of Land Management, USA...

Location and associated data came from whooping cranes from the Aransas-Wood Buffalo Population, 2009-2018. We marked a sample of 68 whooping cranes with leg-mounted transmitters that acquired locations via the global positioning system (GPS) network and transmitted those data through the Argos satellite system. Cranes were captured either at their natal areas in and adjacent to Wood...