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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 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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These data were compiled to monitor native fishes (particularly humpback chub Gila cypha) in the Little Colorado River, in the Grand Canyon, AZ. Objective(s) of our study were to evaluate the timing of native fish migration and the abundance of migratory and resident fishes between the Colorado and Little Colorado Rivers in the Grand Canyon. These data represent encounter histories for fishes - including array detections and physical captures. These data were collected in the lower 13.56 river kilometers of the Little Colorado River in April and May of 2021 and 2022. These data were collected by U.S. Fish and Wildlife Service (physical captures) and U.S. Geological Survey (array detections). These data can be used...
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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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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...
This text file (Reference_List_V1.txt) lists references that describe relevant characteristics for reservoir thermal energy storage (RTES) research in the United States. References are grouped by corresponding city, including: Albuquerque, New Mexico; Charleston, South Carolina; Chicago, Illinois; Decatur, Illinois; Lansing, Michigan; Memphis, Tennessee; Phoenix, Arizona; and Portland, Oregon. The document includes hyphenated lines and headers to distinguish city-specific subsections. Internet links are provided for each reference in the event that the reference was accessible online (as of January 28, 2021).
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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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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 current climate (defined as the 1980-2010 normal period). 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 seasonality (coefficient of variation...
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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 three time periods including current climate (defined as the 1980-2010 normal period) and future climate (2010-2040 and 2040-2070 normal periods) under the RCP4.5 and 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...
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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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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 2010-2040 normal period) under the RCP4.5 emission scenario. 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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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 current climate (defined as the 1980-2010 normal period). 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 seasonality (coefficient of variation...
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This geodatabase contains geologic unit boundaries and asbestos site locations shown in "Carbon dioxide mineralization feasibility in the United States" (Blondes and others, 2019). Data was compiled from source material at a scale range of 1:100,000 to 1:5,000,000 and is not intended for any greater detail.
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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 2010-2040 normal period) under the RCP8.5 emission scenario. 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 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 time period 1980-2010 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 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 future time period 2010-2040 (RCP 8.5) Principal components of climate variation in the Desert Southwest (ver. 2.0, September 2019) 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 time period 1980-2010 Principal components of climate variation in the Desert Southwest for the future time period 2010-2040 (RCP 4.5) Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 8.5) Compiled reference list to support reservoir thermal energy storage research Geologic formations and mine locations for potential CO2 mineralization Natural Gas Compositional Analyses Dataset of Gases from United States Wells Array detections and physical captures for three native fishes in the Little Colorado River in Grand Canyon, AZ Array detections and physical captures for three native fishes in the Little Colorado River in Grand Canyon, AZ 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 Principal components of climate variation in the Desert Southwest (ver. 2.0, September 2019) 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 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) Principal components of climate variation in the Desert Southwest for the time period 1980-2010 Principal components of climate variation in the Desert Southwest for the time period 1980-2010 Principal components of climate variation in the Desert Southwest for the future time period 2010-2040 (RCP 8.5) Principal components of climate variation in the Desert Southwest for the future time period 2010-2040 (RCP 4.5) Compiled reference list to support reservoir thermal energy storage research Natural Gas Compositional Analyses Dataset of Gases from United States Wells Geologic formations and mine locations for potential CO2 mineralization