Data

The U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board collected produced water and casing gas samples from oil wells and injectate stored in surficial tanks planned for underground injection in the Orcutt oil field in Santa Barbara County in 2018. Samples were collected from the Orcutt oil field on February 6th and February 7th, 2018...

The U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board compiled and analyzed data on water production and produced water disposal on land at oil and gas fields in the southwestern San Joaquin Vallley, Kern County, California. Data were compiled from information in state and local agencies’ databases and cover a period of record ranging...

The U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board collected produced water samples for analysis of volatile organic compounds (VOCs) in the eight California oil fields of Fruitvale, Lost Hills, North Belridge, Orcutt, Placerita, South Belridge, Midway-Sunset, and Buena Vista from 2016 to 2020. Sampled sites included oil wells...

Climate change over the past century has altered vegetation community composition and species distributions across rangelands in the western United States. The scale and magnitude of climatic influences are largely unknown. While a number of studies have projected the impacts of climate change using several modeling approaches, none has evaluated impacts to fractional component cover at...

This dataset contains projections of shoreline change and uncertainty bands across California for future scenarios of sea-level rise (SLR). Projections were made using the Coastal Storm Modeling System - Coastal One-line Assimilated Simulation Tool (CoSMoS-COAST), a numerical model run in an ensemble forced with global-to-local nested wave models and assimilated with satellite-derived...

The files in this data release are those referenced in the journal article by Evans and others (2023) entitled 'Investigating microbial size classes associated with the transmission of stony coral tissue loss disease (SCTLD)'. The files contain an amplicon sequence variant (ASV) table and the raw 16S rRNA gene amplicon files from fifty-six 0.22-micrometer (µm) pore size filters, as well...

USGS scientists evaluated movement and resource selection during seasonal migrations by pronghorn (Antilocapra americana) that were tracked with GPS collars near wind-energy facilities in the Shirley Basin, Wyoming, USA, in 2010-2012 and 2018-2020. Data include values of environmental variables and proximity to wind turbines at used and available locations for analyses of pronghorn...

Proportion of agricultural land cover within 18-km radius developed using a circular focal moving window analysis.

The United States Geological Survey (USGS) - Science Analytics and Synthesis (SAS) - Gap Analysis Project (GAP) manages the Protected Areas Database of the United States (PAD-US), an Arc10x geodatabase, that includes a full inventory of areas dedicated to the preservation of biological diversity and to other natural, recreation, historic, and cultural uses, managed for these purposes...

This geospatial dataset represents a prototype of a finer-scale representation of the principal aquifers of the United States, using four original principal aquifers in the Upper Midwest, United States, which were re-analyzed and condensed into three updated principal aquifers. The original principal aquifer definitions and extents were published in the Ground Water Atlas of the United...

This release presents provisional volcanic gas monitoring data from multi-GAS (multiple Gas Analyzer System) station "YELL_MUD", installed in July 2021 in the Obsidian Pool thermal area, Yellowstone National Park, USA. The multi-GAS station includes gas sensors to measure water vapor, carbon dioxide (CO2), sulfur dioxide (SO2), and hydrogen sulfide (H2S) in gas plumes, as well as...

The U.S. Geological Survey is developing national water-use models to support water resources management in the United States. Model benefits include a nationally consistent estimation approach, greater temporal and spatial resolution of estimates, efficient and automated updates of results, and capabilities to forecast water use into the future and assess model uncertainty. The term...