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This dataset contains absolute-gravity measurements made using an A-10 absolute gravity meter (Micro-g Lacoste, Inc.) in 2019 in Pinal County, Arizona. Measurements were made at a total of 19 different stations used by the Arizona Department of Water Resources (ADWR) to monitor aquifer-storage changes. Data are presented in tabular and spatial vector (point) form, including relevant parameters used for processing. Data were output by g software (Micro-g Lacoste, Inc.) version 9.12.04.23. A correction for laser-frequency drift was applied, based on regular calibration of the HeNe laser used in the A-10 against an iodine-stabilized laser.
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These data were compiled for the creation of a continuous, transboundary land cover map of Bird Conservation Region 33, Sonoran and Mojave Deserts (BCR 33). Objective(s) of our study were to, 1) develop a machine learning (ML) algorithm trained to classify vegetation land cover using remote sensing spectral data and phenology metrics from 2013-2020, over a large subregion of the Sonoran and Mojave Deserts BCR, 2) Calibrate, validate, and refine the final ML-derived vegetation map using a collection of openly sourced remote sensing and ground-based ancillary data, images, and limited fieldwork, and 3) Harmonize a new transboundary classification system by expanding existing land cover mapping resources from the United...
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This dataset supercedes an earlier data release and includes all previous data in addition to data from 2019. These data represent the network-adjusted results of relative- and absolute-gravity surveys. Relative-gravity surveys were carried out using a Micro-g LaCoste D-series relative-gravity meter. The effect of solid Earth tides and ocean loading were removed from the data. Instrument drift was removed by evaluating gravity change during repeated measurements at one or more base stations. Absolute-gravity surveys were carried out using a Micro-g LaCoste, Inc. A-10 absolute-gravity meter. Vertical gradients between the different measuring heights of the absolute- and relative-gravity meters were measured using...
This dataset represents the network-adjusted results of relative- and absolute-gravity surveys. Relative-gravity surveys were carried out using a Zero Length Spring, Inc. relative-gravity meter. The effect of solid Earth tides and ocean loading were removed from the data. Instrument drift was removed by evaluating gravity change during repeated measurements at one or more base stations. Absolute-gravity surveys were carried out using a Micro-g LaCoste, Inc. A-10 absolute-gravity meter. Vertical gradients between the different measuring heights of the absolute- and relative-gravity meters were measured using a relative-gravity meter and tripod, and used to correlate the measurements between the two instruments. Relative-gravity...
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A collection of analysis-ready datasets for the U.S. Geological Survey - Idaho National Laboratory (USGS-INL) groundwater and surface-water monitoring networks, administered by the USGS-INL Project Office in cooperation with the U.S. Department of Energy. The data collected from wells and surface-water stations at the Idaho National Laboratory and surrounding areas have been used to describe the effects of waste disposal on water contained in the eastern Snake River Plain aquifer, located in the southeastern part of Idaho, and the availability of water for long-term consumptive and industrial use. The datasets include long-term monitoring records dating back to measurements from 1922. Geospatial data describing...
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This dataset supercedes an earlier data release and includes all previous data in addition to data from 2019. These data represent the network-adjusted results of relative- and absolute-gravity surveys. Relative-gravity surveys were carried out using a Micro-g LaCoste D-series relative-gravity meter. The effect of solid Earth tides and ocean loading were removed from the data. Instrument drift was removed by evaluating gravity change during repeated measurements at one or more base stations. Absolute-gravity surveys were carried out using a Micro-g LaCoste, Inc. A-10 absolute-gravity meter. Vertical gradients between the different measuring heights of the absolute- and relative-gravity meters were measured using...


    map background search result map search result map Repeat microgravity data from Tucson Basin and Avra Valley, Arizona, 2016-2019 Repeat microgravity data from Tucson Basin and Avra Valley, Arizona, 2016-2019 (COPY) Absolute gravity data from Pinal County, Arizona, 2019 Repeat microgravity data from Mesilla Valley, New Mexico, 2016-2018 Random forest classification data developed from multitemporal Landsat 8 spectral data and phenology metrics for a subregion in Sonoran and Mojave Deserts, April 2013 – December 2020 Datasets for the U.S. Geological Survey - Idaho National Laboratory groundwater and surface-water monitoring networks, v1.1 Repeat microgravity data from Mesilla Valley, New Mexico, 2016-2018 Repeat microgravity data from Tucson Basin and Avra Valley, Arizona, 2016-2019 (COPY) Repeat microgravity data from Tucson Basin and Avra Valley, Arizona, 2016-2019 Absolute gravity data from Pinal County, Arizona, 2019 Datasets for the U.S. Geological Survey - Idaho National Laboratory groundwater and surface-water monitoring networks, v1.1 Random forest classification data developed from multitemporal Landsat 8 spectral data and phenology metrics for a subregion in Sonoran and Mojave Deserts, April 2013 – December 2020