Data

The following report summarizes the dating results from sedimentary deposits discovered during paleoseismic investigations of Puerto Rico. Within this report, we detail the methodology used by the USGS Luminescence Geochronology Laboratory to obtain ages including sample preparation methods, luminescence measurement, equivalent dose determination, and dating-related calculations. We...

Large Igneous Provinces (LIPs) are associated with dramatic changes to the Earth system; their rapid release of carbon to the surface environment may initiate catastrophic climatic changes that cause mass extinction. This carbon release is often associated with volcanic emissions, yet metamorphic carbon production during LIP events may be substantial. Metamorphic carbon devolatilization...

A multi-stage ensembled machine learning model was developed to estimate metal abundances in seafloor massive sulfide deposits worldwide. The modeling framework integrates (1) KMeans++ clustering to identify geochemical groupings based on enrichment controls, (2) Random Forest classification to assign geochemical labels to vent fields with incomplete or absent geochemical data, and (3)...

A new dataset for macroseismic intensity from crustal earthquakes in the Western United States is developed by combining the USGS Did You Feel It? (DYFI) data set with historical intensity data (Atkinson et al., 2014; Salditch et al., 2020). The metadata compiled for the data set includes the earthquake magnitude, rupture distance, time-averaged shear-wave velocity in the upper 30 m...

Magnetic susceptibility measurements in the vicinity of the Mesquite Hills, San Bernardino County, California. Susceptibility measurments, made with a Terraplus KT10 magnetic susceptibility meter, were collected on various igneous rocks in the Mesquite HIlls area to better characterize the magnetic properties of igneous rocks in the region. Mafic rocks in the areas are reliably magnetic...

The U.S. Geological Survey (USGS) collects magnetic susceptibility measurements on in-situ and laboratory rock samples to help identify the sources of anomalies in aeromagnetic surveys in Alaska. Magnetic susceptibility is a measure of how much a material will become magnetized in an applied magnetic field and is the ratio of magnetization, M (magnetic moment per unit volume), to the...

This data release provides access to magnetics data collected by the AUV Sentry during the TN403 cruise in the Escanaba Trough (USGS Field Activity 2022-621-FA).

Mainstem rivers serve as the backbone of a connected network of hydrologic units that cover the landscape. A mainstem connects a headwater source area to an outlet. The series of data releases, Mainstem Rivers of the Conterminous United States, referred to as "Mainstems", identifies the same mainstem paths across spatial scales in hydrographic datasets for the United States. This data...

This U.S. Geological Survey (USGS) Data Release contains chemical analysis information on sediment core and oil samples collected at the National Crude Oil Spill Fate and Natural Attenuation Research Site near Bemidji, Minnesota, USA. Following a crude-oil spill in 1979, biodegradation of petroleum hydrocarbons in the contaminated aquifer has formed distinct zones of pH and/or redox...

Riparian systems across the southwestern United States are immensely important ecosystems and serve as biodiversity hotspots for a number of plant and animal species. However, recent challenges including non-native vegetation expansion, increased wildfire activity, and widespread vegetation die-offs, have substantially impacted the conditions of these ecosystems. This study was...

We developed maps of of projected present and future climate niches for 9 focal species (including 4 plants [common bearberry, Bebb's sedge, highland rush, and shrubby five-fingers], 2 birds [grasshopper sparrow and black-throated green warbler], and 3 salamanders [blue-spotted salamander, jefferson salamander, and marbled salamander]) to identify climate change refugia, areas on the...

This data release provides a vector geospatial polygon layer delineating 30 marine ecosystems, within the Large Marine Ecosystems (LME) surrounding Alaska, that can be identified by their similarities in oceanography and biology. These mesoscale ecoregions often cross LME boundaries. We examined the best information available for these mesoscale patterns in the distribution of biological