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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.

Filter Total Items: 13128

Growth of cultured Picocystis strain ML in the presence of arsenic, and occurrence of arsenolipids in these Picocystis as well as biota and sediment from Mono Lake, California

Mono Lake is a hypersaline soda lake rich in dissolved inorganic arsenic with its primary production currently dominated by Picocystis str. ML. We set out to determine if this picoplankter could metabolize inorganic arsenic, and in doing so form unusual arsenolipids (e.g., methylated arsinoyl ribosides) as reported in other saline ecosystems and by halophilic algae. We cultivated Picocystis str. M

Data Release associated with Data Series - DOI/GTN-P Climate and Active-Layer Data Acquired in the National Petroleum Reserve-Alaska and the Arctic National Wildlife Refuge, 1998-2019 (ver. 3.0, March 2021)

This release provides data collected by the climate monitoring array of the U.S. Department of the Interior on Federal lands in Arctic Alaska over the period August 1998 to July 2019; this array is part of the Global Terrestrial Network for Permafrost (DOI/GTN-P). In addition to presenting data, this release also describes monitoring, data collection, and quality-control methods. The array of 16 m

Riparian vegetation, topography, sediment quality and river corridor geomorphology in the Lower Virgin River 2010-2017

Plant composition, geomorphic conditions and sediment properties before (2010-2012) and after (2015-2017) the arrival of a biocontrol agent (defoliating beetle in the Diorhabda genus) of invasive Tamarix spp. The data contains four csv files: localization (UTM coordinates of the transects), vegetation and geomorphology, species codes and sediment quality

Land Change Monitoring, Assessment, and Projection (LCMAP) Version 1.0 Annual Land Cover and Land Cover Change Validation Tables

A validation assessment of Land Cover Monitoring, Assessment, and Projection Version 1 annual land cover products (1985-2017) for the Conterminous United States was conducted with an independently collected reference data set. Reference data land cover attributes were assigned by trained interpreters for each year of the time series (1984-2018) to a reference sample of 24,971 randomly-selected Lan

Sacramento River Basin future daily streamflow and sediment HSPF outputs

This dataset contains the model outputs from the daily Hydrological Simulation Program - FORTRAN (HSPF) model of the Sacramento River Basin, including streamflow and sediment time series from water years 1981-2099. Streamflow time series data are in cubic feet per second, sediment loads are in tons per day, and suspended sediment concentrations are in milligrams per liter.

Model archive for analysis of the effects of impervious cover on receiving-water quality with the Stochastic Empirical Loading Dilution Model (SELDM)

Impervious runoff-discharge to receiving streams is widely recognized as one of the leading factors contributing to ecological degradation in such streams. Although there are many factors that contribute to ecological degradation with increasing development adverse effects caused by runoff quality is widely recognized as a contributing factor. The objective of this study was to simulate the flows

Estimated Use of Water in the United States County-Level Data for 2015

This dataset contains water-use estimates for 2015 that are aggregated to the county level in the United States. The U.S. Geological Survey's (USGS's) National Water Use Science Project is responsible for compiling and disseminating the Nation's water-use data. Working in cooperation with local, State, and Federal agencies, the USGS has published an estimate of water use in the United States every

Stream Temperature in the Northern Great Basin region of Southeastern Oregon, 2016-2019

This data release is superseded by Thorson, J.M., Dunham, J.B., Heck, M.P., Hockman-Wert, D.P., and Mintz, J.M., 2022, Stream Temperature in the Northern Great Basin region of Southeastern Oregon, 2016-2021: U.S. Geological Survey data release, https://doi.org/10.5066/P9EDM6L6. Please contact fresc_outreach@usgs.gov for original data set. This dataset includes hourly stream and air temperature da

'Viva' native plant material data in support of restoration and conservation

These data were compiled to investigate the evolutionary history of Hilaria jamesii, Hilaria mutica, and Hilaria rigida. The data release consists of two tab delimited text files that may be used to infer population structure (viva_structure.stru) or relationships among sampling localities (viva.phylip). Files record genetic variation on an individual (.stru) or sampling locality (.phylip) level.

Supplemental Evapotranspiration Gap-filled Datasets from Stump Spring and Hiko Springs, Clark County, Nevada, 2016-18

This USGS data release represents supplemental tabular data for an annual groundwater discharge by evapotranspiration (ET) from areas of spring-fed riparian vegetation, Stump Spring and Hiko Springs, Clark County, Nevada, 2016-18. The raw ET dataset contained multiple data gaps that were simulated and gap-filled with the water-level model utility in SeriesSEE, a USGS developed Microsoft Excel addi

Population genetic and climatic variability data across western North America, 1915-2015

Environmental Analysis Data: These data were compiled to investigate the complex interactions between environmental gradients and geographic distance across the Intermountain West of the western United States. Due to complex topography, physiographic heterogeneity, and complicated relationships with large bodies of water, spatial autocorrelation of environmental similarity may be expected. We prov

Locality based caddisfly (Hydropsyche oslari) sampling data and CO1 sequences from the southwestern United States, 2013-2016

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 2015 to 2
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