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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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Precipitation, soil moisture, and vegetation data from 36 experimental plots in southeastern Utah, near Canyonlands National Park (2015 - 2018)

These data were compiled for a study that investigated the effects of drought seasonality and plant community composition on two dominant perennial grasses, Achnatherum hymenoides (C3 photosynthesis), and Pleuraphis jamesii (C4 photosynthesis), in a dryland ecosystem. In 2015 USGS Ecologists recorded vegetation and soil moisture data in 36 experimental plots which manipulated precipitation in two

Coastal Land-Cover and Feature Datasets Extracted from Landsat Satellite Imagery, Northern Chandeleur Islands, Louisiana

This data release serves as an archive of coastal land-cover and feature datasets derived from Landsat satellite imagery at the northern Chandeleur Islands, Louisiana. To minimize effects of tidal water-level variations, 75 cloud-free, low-water images acquired between 1984 and 2019 were analyzed. Water, bare earth (sand), vegetated, and intertidal land-cover classes were mapped from Hewes Point t

Inventory of liquefaction features triggered by the 7 January 2020 M6.4 Puerto Rico earthquake

This dataset consists of an inventory of the locations of liquefaction-related phenomena triggered by the 7 January 2020 M6.4 Puerto Rico earthquake. The inventory is primarily based on field observations collected during post-earthquake reconnaissance conducted by the USGS and partners (Allstadt and others, 2020, Interactive Dashboard). Some additional locations were added based on reconnaissance

Airborne magnetic and radiometric survey, Charleston, South Carolina and surrounds, 2019

This data release provides digital flight line data for a high-resolution airborne magnetic and radiometric survey over Charleston, South Carolina and the surrounding region. These data were collected to better understand earthquake hazards in the Charleston seismic zone by imaging structural features in the crystalline basement and to image heavy mineral sands containing titanium, zirconium, and

Data from Monitoring Volcanic Gases in Plumes and Ambient Air, Newberry Volcano, Oregon

This release presents volcanic gas monitoring data from periodic surveys and temporary instrument deployments at Newberry Volcano, Oregon. Measurements of plume-gas and ambient air compositions were obtained using single-gas industrial hydrogen sulfide (H2S) sensors and with multi-GAS (multiple Gas Analyzer System; Aiuppa et al., 2005; Shinohara, 2005; Lewicki et al., 2017) instruments that measu

Sightings data for a note on the "First Documentation of Long-Distance Travel by a Florida Manatee to the Mexican Caribbean"

West Indian manatees (Trichechus manatus) are separated into two allopatric subspecies: the Florida manatee (T. m. latirostris) and the Antillean manatee (T. m. manatus). In the winter of 2020-2021, an adult manatee was sighted off the coast of Cancun, Quintana Roo, Mexico, in areas where Antillean manatees are not typically seen. The individual had distinct watercraft scars on its body, which wer

Data on the Effects of Oil and Gas Wastewater Components on Microbial Community Structure and Function

Oil and gas (OG) wastewaters are commonly disposed of by underground injection and previous research showed that activities at a disposal facility in West Virginia affected stream biogeochemistry and sediment microbial communities downstream from the facility. Microorganisms can control the fate and transport of organic and inorganic components of OG wastewater highlighting the need to characteriz

Results from geochemical and mineralogical characterization of Boquillas Shale geochemical reference material ShBOQ-1

This data release accompanies a Fact Sheet on the ShBOQ-1 geochemical reference material (Birdwell and Wilson, 2021). Average and standard deviations reported in the Fact Sheet were calculated using the values compiled here.

Rangewide summertime model predictions for three bat species (Myotis lucifigus, Myotis septentrionalis, and Perimyotis subflavus) from acoustic and mist net data 2010 to 2019

False positive occupancy analysis predictions with model uncertainty based on summertime data provided to support the three bat species status assessment (SSA) for Myotis lucifigus (MYLU), Myotis septentrionalis (MYSE), and Perimyotis subflavus (PESU). The objectives outlined by the Fish and Wildlife Service's SSA team were to estimate summertime distributions across the entire species range. Stat

Black Creek Rapid Geomorphic Assessment, Allen County, Indiana

The Maumee River network contributes a significant amount of total phosphorus (P), including both sediment-bound P (sed-P) and dissolved reactive P (DRP, also known as orthophosphate). Most headwater streams of the Maumee River are predominantly agricultural in land use, interspersed with rural communities. Implementation of best management practices on agricultural operations has worked to limit

Estimated crop irrigation water use withdrawals in Hualapai Valley Groundwater Basin, Arizona for 2014-2018

Observations of irrigated agricultural land within the Hualapai Valley Groundwater Basin in Arizona. Crops were estimated via satellite imagery or verified in situ for 2014-2018, based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agricultural Imagery Program images dated 2015 and 2017 as well as the Landsat and Sentinel2 imagery colle

Reach-scale estimates of nutrient, water use, dissolved oxygen, and pH conditions in the Pacific drainages of the United States

This data release contains data sets that describe reach-scale water-quality conditions for the Pacific drainages of the United States. The nutrient and water use conditions represent the predictions from recent USGS SPARROW (Spatially Related Regression on Watershed Attributes) modeling as well as other watershed attributes. The SPARROW predictions and other watershed attributes were also used as