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 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.

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 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.

This digital dataset was created as part of a U.S. Geological Survey study, done in cooperation with the Sonoma County Water Agency and the City of Petaluma, to be used as the digital hydrogeologic input data for numerical simulation of the groundwater system of the Petaluma Valley Watershed, Sonoma County, California. Elevation, thickness, and extent of the hydrostratigraphic units define the geohydrologic layering of the digital framework model. The location of faults may be used to define the location of potential horizontal flow barriers in numerical simulation of the groundwater system. The intended uses of this dataset include, but are not limited to, natural resource modeling, mapping, and visualization applications. This digital dataset represents the three-dimensional hydrogeologic framework for the Petaluma Valley Watershed, Sonoma County, California. The data define the elevation, thickness, and extent of the principal hydrostratigraphic units of the region, and faults that cut these units. The digital data describe the following eight hydrostratigraphic units: Qal, Quaternary alluvial deposits; BM, Holocene Bay Mud deposits; Qmix, Quaternary mixed unit; WG, Wilson Grove Formation; PF, Petaluma Formation; SV, Sonoma Volcanics; TV, Tolay Volcanics; BSMT, Basement rocks. Most of the three-dimensional hydrogeologic framework data are contained within a single polygon feature class (HFM_300m_polys), which contains a mesh of polygons that represent model cells that have multiple attributes including X, Y, elevation, and thickness of each hydrostratigraphic unit. Faults are provided as a separate line features class (HFM_faults). Two additional ascii files contain the model output from 3D geologic framework and lithologic properties models for the Petaluma groundwater basin. An additional tabular data file contains specific capacity data calculated from well pumping tests.

This data release contains digital data generated by the U.S. Geological Survey under cooperative agreements with San Bernardino Valley Municipal Water District to characterize the three-dimensional hydrogeology of the Yucaipa groundwater subbasin, located east of Los Angeles in southern California. This dataset contains borehole lithologic data, and geospatial data of a three-dimensional hydrogeologic framework model (HFM).The borehole dataset is released as a series of .csv ascii files including (1) individual borehole location, and (2) downhole lithologic interval data derived from well drillers’ lithology logs and parsed to a series of textural descriptors. The geospatial data include polygon and polyline feature classes that are a 2-dimensional representations of the 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 the hydrogeologic units. The polyline feature class is a series of lines that represent the extent and location of faults included in the HFM. Sources of geologic and hydrogeologic data can be found in the metadata.

This data release contains digital data generated by the U.S. Geological Survey under cooperative agreements with San Bernardino Valley Municipal Water District to characterize the three-dimensional hydrogeology of the Yucaipa groundwater subbasin, located east of Los Angeles in southern California. This dataset contains borehole lithologic data, and geospatial data of a three-dimensional hydrogeologic framework model (HFM).The borehole dataset is released as a series of .csv ascii files including (1) individual borehole location, and (2) downhole lithologic interval data derived from well drillers’ lithology logs and parsed to a series of textural descriptors. The geospatial data include polygon and polyline feature classes that are a 2-dimensional representations of the 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 the hydrogeologic units. The polyline feature class is a series of lines that represent the extent and location of faults included in the HFM. Sources of geologic and hydrogeologic data can be found in the metadata.

The U.S. Geological Survey (USGS) entered into a cooperative study with the California Department of Water Resources and the Ramona Band of Cahuilla to characterize the hydrogeology of the Cahuilla Valley and Terwilliger Valley groundwater basins and surrounding water-bearing units, with the ultimate goal of developing a calibrated integrated hydrologic model to manage the groundwater supplies on a sustainable basis. A three-dimensional geologic framework model (GFM) was developed to quantify the structural geometry and distribution of water-bearing units in the groundwater basins, using borehole lithology and hydraulic information, geologic maps, and gravity-derived depth-to-basement information. This dataset includes (1) tabular data of selected boreholes with their location and construction information, (2) borehole lithology information, (3) a geographic information systems (GIS) shapefile of a cellular array containing interpolated elevations and thicknesses of modeled geologic units from the GFM in the format of a polygon feature class, (4) and a table of summary textural classes for the alluvial fill unit from borehole logs and summary textural classes used in geologic framework model.

The U.S. Geological Survey (USGS) entered into a cooperative study with the California Department of Water Resources and the Ramona Band of Cahuilla to characterize the hydrogeology of the Cahuilla Valley and Terwilliger Valley groundwater basins and surrounding water-bearing units, with the ultimate goal of developing a calibrated integrated hydrologic model to manage the groundwater supplies on a sustainable basis. A three-dimensional geologic framework model (GFM) was developed to quantify the structural geometry and distribution of water-bearing units in the groundwater basins, using borehole lithology and hydraulic information, geologic maps, and gravity-derived depth-to-basement information. This dataset includes (1) tabular data of selected boreholes with their location and construction information, (2) borehole lithology information, (3) a geographic information systems (GIS) shapefile of a cellular array containing interpolated elevations and thicknesses of modeled geologic units from the GFM in the format of a polygon feature class, (4) and a table of summary textural classes for the alluvial fill unit from borehole logs and summary textural classes used in geologic framework model.

This data release contains site information and potential explanatory factor data for 1,899 groundwater sites. These sites were used to assess groundwater quality in aquifers used for domestic and public drinking water supply in the southeastern San Joaquin Valley. The southeastern San Joaquin Valley (SESJV) study unit consists of five study areas whose boundaries are defined by the eponymous California Department of Water Resources groundwater subbasins of the San Joaquin Valley groundwater basin: Madera-Chowchilla, Kings, Kaweah, Tule, and Tulare Lake. The sites consist of 198 wells representing the domestic-supply aquifer and 1,701 wells representing the public-supply aquifer. The domestic-supply aquifer wells were sampled in 2013-2015 by the USGS for either the California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project (GAMA-PBP) or the USGS National Water Quality Assessment project (NAWQA). The public-supply aquifer wells were either sampled by the USGS for the GAMA-PBP in 2005-2018 or have water-quality data in the California State Water Resources Control Board Division of Drinking Water (SWRCB-DDW) public database. The data types in this data release include site identification and location, well construction and lithology data, land use characteristics, groundwater age and oxidation-reduction classifications and aridity indices. Not all sites have data for all fields. Water-quality data for the sites are available from U.S. Geological Survey (2023), and California State Water Resources Control Board Division of Drinking Water (2023). The study design and the assessment results are presented in Burow and others (2024).