This dataset contains gravity data collected in the Russian River watershed, northern California.

Data are raw data files output by the Burris gravimeter PDA. Files include the Earth tide correction used in the UltraGrav software.

Data are raw data files output by the Burris gravimeter PDA. Files include the Earth tide correction used in the UltraGrav software.

This data release contains digital data generated by the U.S. Geological Survey under cooperative agreements with Sonoma County Water Agency and the California State Water Resources Control Board to characterize the three-dimensional hydrogeology of the Russian River Watershed, located in the northern part of the California Coast Ranges section of the Pacific Border province. This dataset contains geospatial data of a three-dimensional hydrogeologic framework model (3D HFM). The 3D HFM was constructed using methods from previously published reports. Sources of 3D HFM construction methods can be found in the metadata. The geospatial database contains a polygon feature class that is a 2-dimensional representation of the 3D HFM. The polygon feature class is a cellular array where each model cell has multiple attributes including XY location, and interpolated elevations and thicknesses of hydrogeologic units.

This data release contains digital data generated by the U.S. Geological Survey under cooperative agreements with Sonoma County Water Agency and the California State Water Resources Control Board to characterize the three-dimensional hydrogeology of the Russian River Watershed, located in the northern part of the California Coast Ranges section of the Pacific Border province. This dataset contains geospatial data of a three-dimensional hydrogeologic framework model (3D HFM). The 3D HFM was constructed using methods from previously published reports. Sources of 3D HFM construction methods can be found in the metadata. The geospatial database contains a polygon feature class that is a 2-dimensional representation of the 3D HFM. The polygon feature class is a cellular array where each model cell has multiple attributes including XY location, and interpolated elevations and thicknesses of hydrogeologic units.

This data release contains digital data generated by the U.S. Geological Survey under cooperative agreements with Sonoma County Water Agency and the California State Water Resources Control Board to characterize the three-dimensional hydrogeology and water quality of the Russian River Watershed, located in the northern part of the California Coast Ranges section of the Pacific Border province. This dataset contains borehole lithologic and hydrologic data, geospatial data of a three-dimensional hydrogeologic framework model (3D HFM), and gravity data used to support development of the framework model. The borehole dataset is released as a series of .csv ascii files including (1) individual borehole location and construction information, (2) downhole lithologic interval data derived from well driller’s lithology logs and parsed to a series of textural descriptors, and (3) calculated specific capacity from driller’s pumping tests. In addition to the borehole data, a folder containing drillers logs used in the dataset, but not in California Department of Water Resources database of scanned driller’s logs is contained within the data release for reference. The geospatial database contains a polygon feature class that is a 2-dimensional representation of the 3D HFM. The polygon feature class is a cellular array where each model cell has multiple attributes including XY location, and interpolated elevations and thicknesses of hydrogeologic units. The 3D HFM was constructed using methods from previously published reports. Gravity data collected in support of 3D framework construction are present as a “child” item of the main data release. Sources of geologic data, 3D HFM construction methods, and additional gravity data can be found in the metadata.

The U.S. Geological Survey collected ground gravity data as part of a helicopter reconnaissance campaign of the Democrat Creek alkaline complex and Deer Peak quadrangle in the Wet Mountains, Colorado. A total of 60 measurements were collected using a LaCoste and Romberg gravity meter. High accuracy geographic coordinates and elevations were collected using a survey grade Leica GS16 differential GPS system. These data supplement existing public gravity data to aid in the interpretation of a newly collected, high-resolution airborne magnetic survey (Grauch et al., 2023). Grauch, V.J.S., Anderson, E.D., Brown, P.J., and Allen Langhans, A.D., 2023, Airborne magnetic and radiometric survey of the Wet Mountains and surrounding region, Custer and Fremont Counties, south-central Colorado, 2021: U.S. Geological Survey data release, https://doi.org/10.5066/P9PISI0X.

New gravity compilation has been compiled for the Lake Superior region. The gravity compilation includes survey stations available from Natural Resources Canada, National Centers for Environmental Information (formerly National Geophysical Data Center), Minnesota Geological Survey, and U.S. Geological Survey. Individual databases were combined and duplicates were removed resulting in a database of 63,880 gravity stations. The gravity station data were reprocessed from observed gravity to simple Bouguer anomaly following standard methods that depend on the station type (for example, land, lake surface, or lake bottom observation) and used a reduction density of 2,670 kg/m3. The compilation provides a consistent dataset appropriate for gravity modeling that extends across Lake Superior shores.

New gravity compilation has been compiled for the Lake Superior region. The gravity compilation includes survey stations available from Natural Resources Canada, National Centers for Environmental Information (formerly National Geophysical Data Center), Minnesota Geological Survey, and U.S. Geological Survey. Individual databases were combined and duplicates were removed resulting in a database of 63,880 gravity stations. The gravity station data were reprocessed from observed gravity to simple Bouguer anomaly following standard methods that depend on the station type (for example, land, lake surface, or lake bottom observation) and used a reduction density of 2,670 kg/m3. The compilation provides a consistent dataset appropriate for gravity modeling that extends across Lake Superior shores.

This dataset represents the network-adjusted results of relative- and absolute-gravity surveys performed from 2019 to 2023 in and near Anza Valley, California. Relative surveys were done using a Zero Length Spring, Inc. Burris relative-gravity meter. Absolute-gravity surveys were done using a Micro-g LaCoste, Inc. A-10 absolute-gravity meter. The effect of solid Earth tides and ocean loading were removed from the data prior to network adjustment. Non-linear instrument drift was removed by evaluating gravity change during repeated measurements at one or more base stations. Vertical gradients between the relative- and absolute-gravity meters were measured at each station where both types of measurement were collected to correlate the measurements of the two instruments. Vertical gradients were measured using a relative-gravity meter and tripod set to the height of the absolute-gravity meter. Relative-gravity differences and absolute-gravity data were combined using least-squares network adjustment, as implemented in the software GSadjust (https://code.usgs.gov/sgp/gsadjust). Data are provided for 35 stations collected over 7 discrete surveys.