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.
Filter Total Items: 16316
Pathology of lesions in corals from the US Virgin Islands data release Pathology of lesions in corals from the US Virgin Islands data release
Stony coral tissue loss disease (SCTLD) was first documented in Florida in 2014 and has since spread through the Caribbean causing unprecedented mortality in over 20 species of corals. The cause of SCTLD is unknown, but bacteria are suspected based on regression of gross lesions in some corals treated with antibiotics. Limited pathology studies on SCTLD exist, but it is likely that...
Simulations of hypothetical CO2 leakage and hydrological plume management in an underground source of drinking water at a proposed CO2 storage facility, Kemper County, Mississippi, USA Simulations of hypothetical CO2 leakage and hydrological plume management in an underground source of drinking water at a proposed CO2 storage facility, Kemper County, Mississippi, USA
This data release serves as a model archive associated with an upcoming journal article. It contains all the input and output files from, as well as explanatory information about, numerical simulations that were conducted as part of a study of a site in Kemper County, Mississippi where deep geologic injection of CO2 has been proposed. The simulations represent groundwater flow within a...
Statistical predictions of groundwater levels and related spatial diagnostics for the Mississippi River Valley alluvial aquifer from the mmlMRVAgen1 statistical machine-learning software Statistical predictions of groundwater levels and related spatial diagnostics for the Mississippi River Valley alluvial aquifer from the mmlMRVAgen1 statistical machine-learning software
A multiple machine-learning model (Asquith and Killian, 2024) implementing Cubist and Random Forest regressions was used to predict monthly mean groundwater levels through time for the available years described in the metadata for the Mississippi River Valley alluvial aquifer (MRVA). The MRVA is the surficial aquifer of the Mississippi Alluvial Plain (MAP), located in the south-central...
Stream stage, stream temperature, and climate metrics for 30 streams spanning land use and management gradients in the Delmarva Peninsula of Delaware, Maryland, and Virginia, 2022 Stream stage, stream temperature, and climate metrics for 30 streams spanning land use and management gradients in the Delmarva Peninsula of Delaware, Maryland, and Virginia, 2022
This data release contains summary metrics describing stream stage, stream water temperature, and short-term climate conditions (daily precipitation and air temperature) for 30 streams spanning gradients of forest and row-crop land uses and agricultural best management practice implementation in the Delmarva Peninsula of Delaware, Maryland, and Virginia, USA. This setting is the second...
Geochemical analysis of authigenic carbonates, water column, and pore fluids measurements collected on the FK190612 research expedition in the north Pacific Ocean along the Cascadia margin in June 2019 Geochemical analysis of authigenic carbonates, water column, and pore fluids measurements collected on the FK190612 research expedition in the north Pacific Ocean along the Cascadia margin in June 2019
These are data related to the collection of samples on the FK190612 research expedition in the north Pacific Ocean along the Cascadia margin in June 2019.
Von Damm Vent Field geochemical and mineralogical data Von Damm Vent Field geochemical and mineralogical data
This data release contains geochemical data, X-ray diffractograms (XRD), inorganic carbon isotope values, and Raman spectra from rocks collected in 2020 at Von Damm vent field on the Mid Cayman Rise.