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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2040-2070 normal period) under the RCP4.5 emission scenarios. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...
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Climate Distance Mapper is an interactive web mapping application designed to facilitate informed seed sourcing decisions and to aid in directing regional seed collections. Implemented as a shiny web application (Chang et al. 2017), Climate Distance Mapper is hosted on the web at: https://usgs-werc-shinytools.shinyapps.io/Climate_Distance_Mapper/. The application is designed to guide restoration seed sourcing in the desert southwest by allowing users to interactively match seed sources with restoration sites climatic differences – in the form of multivariate climate distance values – between restoration sites and the surrounding landscape. Climatic distances are based on a combination of variables likely to influence...
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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2040-2070 normal period) under the RCP8.5 emission scenarios. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...
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This data release is currently being revised and is temporarily unavailable. Please contact rhkent@usgs.gov with any immediate requests. The U.S. Geological Survey Groundwater Ambient Monitoring and Assessment-Priority Basin Project (USGS GAMA-PBP) collected samples to be analyzed for per-and polyfluoroalkyl substances (PFAS) from domestic and public supply wells from May 2019 to September 2020. The datasets presented here include identification of the 28 PFAS constituents monitored by the project, Identification and brief characterization of the 211 GAMA-PBP wells for which samples were analyzed for PFAS during the study period, and analytical results for those groundwater samples, along with results for quality...
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As part of a NASA-funded study of diurnal thermal imaging at a Mars analog site, we conducted simultaneous oblique thermal imaging and in situ temperature measurements within two regions of interest on the Pisgah lava field, near Ludlow, California. Both regions of interest contained either cave or cave-like alcoves. Data released in this report was collected from 03/23/2010 to 03/25/2010. The experiment was conducted at Pisgah lava field, which is located about 175 miles northeast of Los Angeles on Bureau of Land Management lands. Consisting of Quaternary basaltic lava and a cinder cone superimposed on alluvial deposits and lacustrine sediments of Lavic Lake playa (Dibblee, 1966), the flow is approximately 21,000...
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This dataset contains csv files in support of the conclusions published in "Water use demand in Mediterranean California under multiple scenarios of developed and agricultural land use " in the journal PLOS One. We used the USGS's LUCAS model to examine a broad suite of spatially explicit future land use scenarios and their associated county-level water use demand, including the historical (1992-2011) and projected periods (2012-2062) across 40 Monte Carlo simulations.We examined a range of potential water demand futures sampled from a 20-year record of historical (1992-2012) data to develop a suite of potential future land change scenarios from 2012-2062. These scenario simulations include a 1) business-as-usual...
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This dataset was created to document the natural occurrence of helium and carbon dioxide throughout the United States. This dataset is sourced primarily from publicly available data from the Bureau of Land Management (BLM) Federal Helium Program and the U.S. Geological Survey (USGS). The Federal Helium Program, which originally began in 1925 under the U.S. Bureau of Mines (USBM) has analyzed thousands of gas samples during its history. These analyses were reported in several publications (Moore and Sigler, 1987; Hamak and Gage, 1992; Hamak and Sigler, 1991, 1993; Sigler, 1994; Hamak and Driskill, 1996; Gage and Driskill, 1998, 2003, 2005; Driskill, 2008), and additional unpublished data residing in an internal BLM...
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This dataset contains .csv and .tif image files in support of the conclusions published in "Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change" in the journal PLOS One. We used the USGS's LUCAS model to examine a broad suite of spatially explicit future land use scenarios and their associated county-level water use demand, including the historical (1992-2011) and projected periods (2012-2062) across 40 Monte Carlo simulations.We examined a range of potential water demand futures sampled from a 20-year record of historical (1992-2012) data to develop a suite of potential future land change scenarios from 2012-2062. These scenario simulations include...
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Land use was quantified within a 4-km radius around 36 apiaries in North Dakota, South Dakota, and Minnesota over two years, 2015-16 and 2016-17. The area (hectares) of Ag (corn, soy, small grains), Grass (pasture, grassland, fallow land, wildflowers, shrub land, and hay land), Wetlands (herbaceous and woody), and Bee crops (alfalfa, canola, sunflower) were quantified around each apiary in each year. Within each apiary, the average change in frames of adult bees among all colonies from June to September was calculated. Additionally, the average September Varroa mite infestation rate, the average adult population size during almond pollination, the count of colonies exhibiting queen events in September, and the count...
These data represent capture mark recapture data along with associated disease status for boreal toads (Anaxyrus boreas) from Wyoming and Montana from 2004-2016 and four frog species (Rana draytonii, R. muscosa, R. pretiosa, R. sierrae) from 2001-2016.
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Hourly wave-height observations at 32 sites throughout the Channel Islands National Park and San Nicolas Island, site-specific hind casts from the Coastal Data Information Program (CDIP), and contemporary wave height, period, and direction from regional buoys taken during intervals between 2013 and 2017.
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The California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project (GAMA-PBP) analyzed for per-and polyfluoroalkyl substances (PFAS) in groundwater samples collected from domestic and public drinking water supply wells in California. GAMA-PBP is a cooperative program between the U.S. Geological Survey and the California State Water Resources Control Board. This data release contains data for samples collected from May 2019 through December 2022 and includes revisions to earlier data (Kent, 2021) that were either screened or removed after analysis of quality-control data. Please see the quality-control and other descriptions of the data in the processing steps in the xml file. Subsequent...
Tags: Butte County, California, Colusa County, Del Norte County, Fresno County, All tags...
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This habitat model was developed to delineate suitable habitat for coastal cactus wren (Campylorhynchus brunneicapillus) in southern California. A primary purpose of the model is to identify potential restoration sites that may not currently support cactus patches required by wrens, but which are otherwise highly suitable. These are areas that could be planted with cactus to increase wren populations, an important management objective for many land managers. We used the Partitioned Mahalanobis D2 modeling technique to construct alternative models with different combinations of environmental variables. Variables were calculated at each point in the center of a 150 m x 150 m cell in a grid of points across the landscape....
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This habitat model was developed to delineate a sampling frame for regional monitoring of coastal California gnatcatchers (Polioptila californica californica) to determine: 1) percent area occupied (PAO) in high and very high suitability habitat across conserved lands and participating military lands in the U.S. range in southern California; 2) changes in PAO over time; and 3) extinction and colonization rates. One purpose of the model is to identify areas recovering from disturbance, such as wildfire, that may not currently support coastal sage scrub vegetation used by coastal California gnatcatchers, but are otherwise highly suitable. In this way, we can monitor gnatcatcher occupancy associated with habitat changes...
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Southwest (SW) Region. The U.S. Geological Survey Dakota Water Science Center, in cooperation with the Federal Highway Administration, is analyzing annual peak-flow data to determine if trends are present and provide attribution of trends where possible. This dataset contains comma separated value (csv) files to support the attribution of changes in peak streamflow in the southwestern U.S. to changes in precipitation, temperature, and timing of peak runoff. The peak streamflow is the maximum instantaneous flow during a water year from October 1st to September 30th of the next year. The dataset contains results for only the streamgages that were identified to have significant trends and change points for periods...
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California’s Coastal Data Information Program (CDIP) has a hind cast feature that allows one to model hourly height and period at known locations back to 2000. Fitting these hindcasts to observed height and periods indicates that the hindcasts have consistent biases that can be corrected for statistically. Past work generated bias corrections for 32 sites in the Channel Islands. We use these bias corrections to correct hourly height and period hindcasts at these sites from 2000 to 2017. Data columns include: year_utc, month_utc, day_utc, hour_utc, cdip_Hs_m, cdip_Tp_sec, cdip_Dp_degTrue, adjusted_cdip_Hs_m, mean_sensor_pressure_dbar, Transect_depth_m, ubr_Sensor, Tbr_sensor, wave_energy, date, juliand, season, wyr,...
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This data release has been updated with new files. Please navigate to: Shryock, D.F, DeFalco, L.A., and Esque, T.C., 2019, Principal components of climate variation in the Desert Southwest (ver. 2.0, September 2019): U.S. Geological Survey data release, https://doi.org/10.5066/P9R8YKL0. Five principal components are used to represent the climate variation in an original set of 12 climate variables reflecting precipitation and temperature gradients. The dataset provides coverage for four regions (the Sonoran Desert, Mojave Desert, Colorado Plateau, and Southern Great Basin) and two time periods: current climate (defined as the 1980-2010 normal period) and future climate (defined as the 2040-2070 normal period)...
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Climate Distance Mapper is an interactive web mapping application designed to facilitate informed seed sourcing decisions and to aid in directing regional seed collections. Implemented as a shiny web application (Chang et al. 2017), Climate Distance Mapper is hosted on the web at: https://usgs-werc-shinytools.shinyapps.io/Climate_Distance_Mapper/. The application is designed to guide restoration seed sourcing in the desert southwest by allowing users to interactively match seed sources with restoration sites climatic differences – in the form of multivariate climate distance values – between restoration sites and the surrounding landscape. Climatic distances are based on a combination of variables likely to influence...
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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2040-2070 normal period) under the RCP8.5 emission scenarios. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...


map background search result map search result map Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change Mediterranean California’s water use future based on scenarios of land use change 1992-2062 - Tabular Data Spatio-temporally decoupled land use influences honey bee health and pollination service delivery dataset Hourly wave-height observations from 2013 to 2017 at 32 sites throughout the Channel Islands National Park and San Nicolas Island Principal components of climate variation in the Desert Southwest for the time periods 1980-2010, 2040-2070 (RCP8.5) and (RCP4.5) Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 4.5) Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 8.5) Climate Distance Mapper R Script Hourly wave height and period hindcasts at 32 sites throughout the Channel Islands National Park and San Nicolas Island from 2000-2017 Attributions for nonstationary peak streamflow records in the Southwest region, 1941-2015 and 1966-2015, and supporting information Climate Distance Mapper R Script Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 8.5) Coastal Cactus Wren Habitat Suitability Model for Southern California (2015) Coastal California Gnatcatcher Habitat Suitability Model for Southern California (2015) Oblique Thermal Imaging of the Pisgah Lava Field, California Acquired March 2010 Oblique Thermal Imaging of the Pisgah Lava Field, California Acquired March 2010 - Station 7 Natural Gas Compositional Analyses Dataset of Gases from United States Wells Data sets for: Sampling for Per- and Polyfluoroalkyl Substances (PFAS) by the Groundwater Ambient Monitoring and Assessment Priority Basin Project (GAMA-PBP) Data for Per- and Polyfluoroalkyl Substances (PFAS) in groundwater samples collected by the California Groundwater Ambient Monitoring and Assessment Priority Basin Project, 2019-2023 Oblique Thermal Imaging of the Pisgah Lava Field, California Acquired March 2010 Oblique Thermal Imaging of the Pisgah Lava Field, California Acquired March 2010 - Station 7 Hourly wave-height observations from 2013 to 2017 at 32 sites throughout the Channel Islands National Park and San Nicolas Island Hourly wave height and period hindcasts at 32 sites throughout the Channel Islands National Park and San Nicolas Island from 2000-2017 Coastal Cactus Wren Habitat Suitability Model for Southern California (2015) Coastal California Gnatcatcher Habitat Suitability Model for Southern California (2015) Spatio-temporally decoupled land use influences honey bee health and pollination service delivery dataset Data sets for: Sampling for Per- and Polyfluoroalkyl Substances (PFAS) by the Groundwater Ambient Monitoring and Assessment Priority Basin Project (GAMA-PBP) Data for Per- and Polyfluoroalkyl Substances (PFAS) in groundwater samples collected by the California Groundwater Ambient Monitoring and Assessment Priority Basin Project, 2019-2023 Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change Mediterranean California’s water use future based on scenarios of land use change 1992-2062 - Tabular Data Attributions for nonstationary peak streamflow records in the Southwest region, 1941-2015 and 1966-2015, and supporting information Principal components of climate variation in the Desert Southwest for the time periods 1980-2010, 2040-2070 (RCP8.5) and (RCP4.5) Climate Distance Mapper R Script Climate Distance Mapper R Script Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 4.5) Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 8.5) Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 8.5) Natural Gas Compositional Analyses Dataset of Gases from United States Wells