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These data represent simulated soil temperature and moisture conditions for current climate, and for future climate represented by all available climate models at two time periods during the 21st century. These data were used to: 1) quantify the direction and magnitude of expected changes in several measures of soil temperature and soil moisture, including the key variables used to distinguish the regimes used in the R and R categories; 2) assess how these changes will impact the geographic distribution of soil temperature and moisture regimes; and 3) explore the implications for using R and R categories for estimating future ecosystem resilience and resistance.
This child item describes Python code used to estimate average yearly and monthly tourism per 1000 residents within public-supply water service areas. Increases in population due to tourism may impact amounts of water used by public-supply water systems. This data release contains model input datasets, Python code used to develop the tourism information, and output estimates of tourism. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Output from this code was used as an input feature in the public supply delivery and water use machine learning models. This page includes the following files: tourism_input_data.zip...
This child item describes a public supply delivery machine learning model that was developed to estimate public-supply deliveries. Publicly supplied water may be delivered to domestic users or to commercial, industrial, institutional, and irrigation (CII) users. This model predicts total, domestic, and CII per capita rates for public-supply water service areas within the conterminous United States for 2009-2020. This child item contains model input datasets, code used to build the delivery machine learning model, and national predictions. This dataset is part of a larger data release using machine learning to predict public-supply water use for 12-digit hydrologic units from 2000-2020. This page includes the following...
This child item describes Python code used to query census data from the TigerWeb Representational State Transfer (REST) services and the U.S. Census Bureau Application Programming Interface (API). These data were needed as input feature variables for a machine learning model to predict public supply water use for the conterminous United States. Census data were retrieved for public-supply water service areas, but the census data collector could be used to retrieve data for other areas of interest. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Data retrieved by the census data collector code were used as input...
These data were compiled using a new multivariate matching algorithm that transfers simulated soil moisture conditions (Bradford et al. 2020) from an original 10-km resolution to a 30-arcsec spatial resolution. Also, these data are a supplement to a previously published journal article (Bradford et al., 2020) and USGS data release (Bradford and Schlaepfer, 2020). The objectives of our study were to (1) characterize geographic patterns in ecological drought under historical climate, (2) quantify the direction and magnitude of projected responses in ecological drought under climate change, (3) identify areas and drought metrics with projected changes that are robust across climate models for a representative set of...
Measures used to assess trends in the 10th, 50th, and 90th quantiles of annual peak streamflow from 1916-2015 at 2,683 U.S. Geological Survey stations and within 191 4-digit HUCs in the conterminous United States. Linear quantile regression was applied to the selected quantiles of log-transformed annual peak streamflow to represent trends for a range of flood frequencies from small, common floods to large, infrequent floods. Comparative trends in pairs of quantiles were characterized as coherent, convergent, or divergent by comparing the slopes of linear quantile regression equations.
These data were compiled as a supplement to a previously published journal article (Bradford et al., 2019), that employed a ecosystem water balance model to characterize current and future patterns in soil temperature and moisture conditions in dryland areas of western North America. Also, these data are associated with a published USGS data release (Bradford and Schlaepfer, 2019). The objectives of our study were to (1) characterize current and future patterns in soil temperature and moisture conditions in dryland areas of western North America, (2) evaluate the impact of these changes on estimation of resilience and resistance among a representative set of climate scenarios. These data represent geographic patterns...
Version 4.0 of this data release provides descriptions of more than 200 mineral districts, mines, and mineral occurrences (deposits, prospects, and showings) within the United States that are reported to contain substantial enrichments of the rare earth elements (REEs). These mineral occurrences include mined deposits, exploration prospects, and other occurrences with notable concentrations of the REEs. The inclusion of a particular mineral occurrence in this database is not meant to imply that it has economic potential. Rather, these occurrences were included to capture the distribution and characteristics of the known, reported REEs deposits in the United States, which are diverse in their geology and resource...
Categories: Data,
Data Release - Revised;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Alaska,
Arizona,
Arkansas,
BLM,
Bureau of Land Management,
These data depict the National Hydrography Dataset Plus Version 2.1 (NHDPlusV2.1) flowline representation of the National Wild and Scenic Rivers System throughout the conterminous United States as of 2018. U.S. Forest Service geospatial data on National Wild and Scenic River segments (USFS WSR Segment) from 3/1/2016 were joined to the NHDPlusV2.1 to create the Wild and Scenic Rivers 2018 Linked to the NHDPlusV2.1 (wsr_nhdpv2.1) data. To ensure these data correctly represented the NHDPlusV2.1 flowline delineation of the National Wild and Scenic Rivers System, each wsr_nhdpv2.1 river segment was examined against the USFS WSR Segment data to check for duplication and/or omission of Wild and Scenic River segments. Spatial...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
Arizona,
Arkansas,
California,
Colorado,
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. This data release contains data used in a machine learning model to estimate monthly water use for communities that are supplied by public-supply water systems in the conterminous United States for 2000-2020. This data release also contains associated scripts used to produce input features as well as model output values by 12-digit hydrologic...
This child item describes R code used to determine whether public-supply water systems buy water, sell water, both buy and sell water, or are neutral (meaning the system has only local water supplies) using water source information from a proprietary dataset from the U.S. Environmental Protection Agency. This information was needed to better understand public-supply water use and where water buying and selling were likely to occur. Buying or selling of water may result in per capita rates that are not representative of the population within the water service area. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020....
This is version 2.0 of Tungsten Deposits in the United States. This data release provides the descriptions of approximately 100 U.S. sites that include mineral regions, mineral occurrences (deposits), and mine features that contain enrichments of tungsten (W). This data release reports on U.S. mines and deposits with greater than or equal to 215 metric tons of tungsten metal (30,000 short ton units of tungsten trioxide). Sites in this database occur in Alaska, Arizona, California, Colorado, Idaho, Montana, North Carolina, New Mexico, Nevada, Texas, Utah and Washington. As a part of the process set forth by Executive Order 13817, the USGS National Minerals Information Center (NMIC) identified W as a critical mineral...
Categories: Data,
Data Release - Revised;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Adit,
Alaska,
Alluvial placer Sn,
Arc-related porphyry Mo,
Area,
These data represent simulated ecological drought conditions for current climate, and for future climate represented by all available climate models at two time periods during the 21st century. These data were used to: 1) describe geographic patterns in ecological drought under historical climate conditions, 2) quantify the direction and magnitude of change in ecological drought, 3) identify areas and ecological drought metrics with projected changes that are robust across climate models, defined as drought metrics and locations where >90% of climate models agree in the direction of change.
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. These files may be opened and edited in a text editor program, such as Notepad ++ (PC) or BBEdit (Mac). The .phylip file can be uploaded to phyML or SVDQuartets to generate a tree-based visualization of relationships ( http://www.atgc-montpellier.fr/phyml/ or https://paup.phylosolutions.com, repectively). The .stru file...
This dataset contains estimates of water withdrawals from 66 principal aquifers and "other" non-principal aquifers during 2015 for various categories of use in each county or county equivalent in the United States, Puerto Rico, and the U.S. Virgin Islands. The U.S. Geological Survey's (USGS) National Water Use Science Project is responsible for compiling and disseminating the Nation's water-use data. Withdrawal estimates are summarized in USGS Circular 1464, "Estimated Groundwater Withdrawals from Principal Aquifers in the United States, 2015" (Lovelace and others, 2020). This dataset contains the estimated groundwater withdrawals from principal aquifers by county and county equivalent that are summarized by lithologic...
Categories: Data;
Tags: Ada-Vamoosa aquifer,
Alabama,
Alaska,
Alluvial aquifers,
Arbuckle-Simpson aquifer,
These data were compiled for a comprehensive review of pinyon-juniper communities including Pinus edulis, Pinus monophylla, Juniperus osteosperma, Juniperus monosperma, and Juniperus scopulorum. Compiled are a list of references cataloged by the topic of interest resulting from the literature search. The characterization for each reference includes the focal species, descriptions of the site(s) the study was conducted at, type of study, any land management treatments and the measured response variables. The location data for publications that provided location information have also been compiled in order to compare the geographic distribution of these studies with the distribution of the focal tree species.
Groundwater age distribution and susceptibility to natural and anthropogenic contaminants were assessed for selected principal aquifers of the Western United States: the Central Valley aquifer system (CVAL), the Basin and Range basin-fill aquifers (BNRF), the Rio Grande aquifer system (RIOG), the High Plains aquifer (HPAQ), the Columbia Plateau basaltic-rock aquifers (CLPT), and the Colorado Plateaus aquifers (COPL). Groundwater ages were estimated by calibration of environmental tracers (tritium, tritiogenic helium-3, chlorofluorocarbons, sulfur hexafluoride, carbon-14 and radiogenic helium-4) to lumped parameter models (LPMs) for 1,353 samples from 1,182 sample locations. Groundwater samples were collected from...
Categories: Data;
Tags: Arizona,
Basin and Range Aquifers,
California,
Central Valley Aquifer,
Colorado,
These data were compiled to help understand how climate change may impact dryland pinyon-juniper ecosystems in coming decades, and how resource management might be able to minimize those impacts. Objective(s) of our study were to model the demographic rates of PJ woodlands to estimate the areas that may decline in the future vs. those that will be stable. We quantified populations growth rates across broad geographic areas, and identified the relative roles of recruitment and mortality in driving potential future changes in population viability in 5 tree species that are major components of these dry forests. We used this demographic model to project pinyon-juniper population stability under future climate conditions,...
This child item describes Python code used to retrieve gridMET climate data for a specific area and time period. Climate data were retrieved for public-supply water service areas, but the climate data collector could be used to retrieve data for other areas of interest. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Data retrieved by the climate data collector code were used as input feature variables in the public supply delivery and water use machine learning models. This page includes the following file: climate_data_collector.zip - a zip file containing the climate data collector Python code used to retrieve...
An inventory of facilities that bottle water or other beverages containing water (including soft drinks, beer, wine, or spirits) or that manufacture ice was compiled by combining available datasets from multiple sources. This water bottling inventory dataset includes facilities within all 50 states of the United States, one federal district (Washington, District of Columbia), and three territories (Guam, Puerto Rico, and Virgin Islands). The inventory focuses on presently active facilities in 2023. Most closed water bottling facilities are not included; however, facilities identified as being a former production site (meaning the facility is still active but the business function has changed) or as closed during...
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