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Groundwater-quality data collected between 1993 and 2015 were compiled from the U.S. Geological Survey (USGS) National Water Information System (NWIS) database for 722 wells in the San Joaquin Valley (SJV). Groundwater-quality data retrieved included lab analyses of complete major ion data (calcium, magnesium, sodium, potassium, chloride, sulfate, nitrate, alkalinity, bicarbonate, carbonate, silica, and TDS) for 613 samples, and an additional 109 samples with measured values of specific conductance. Most of these wells were sampled as part of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project or the USGS National Water Quality Assessment (NAWQA) Program. In addition...
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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 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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To support an investigation of the effectiveness of a large-scale river restoration project, several types of field data were collected from two gravel-bed reaches of the regulated lower Merced River in California's Central Valley, primarily in the fall of 2016. These data sets were intended to characterize salmon spawning habitat and identify factors influencing spawning site selection. This parent data release includes links to child pages for the following data sets: 1) Bulk samples of streambed sediment used to characterize the subsurface grain size distribution. 2) Pebble counts used to characterize the sediment grain size distribution of the bed surface. 3) Force gage measurements used to parameterize a...
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Mendenhall and others (1916) published depth-to-water data compiled in 1910 for all known wells in the San Joaquin Valley, California. Data for the 3,429 wells having depth-to-water of greater than zero feet were used to construct an interpolated depth-to-water surface for the entire SJV. This map represents groundwater levels in approximately 1910, prior to extensive development of the groundwater system. A depth-to-water contour map with contour lines of 5, 10, 15, and 25 meters below land surface was then drawn from this raster surface.
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Surveys of channel and floodplain topography were used to characterize the morphology of two reaches of the lower Merced River in California's Central Valley and to parameterize a hydraulic model. These data were collected to support research intended to evaluate the extent to which large-scale restoration projects provided improved salmon spawning habitat. A related goal of this study was to improve our understanding of the geomorphic factors influencing spawning site selection by salmon. At the Merced River Ranch field site, river channel and floodplain topography was measured using a combination of real-time kinematic (RTK) GPS for wadable parts of the channel, an echo sounder for deep pools, and photogrammetry...
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Understanding how different crops use water over time is essential for planning and managing water allocation, water rights, and agricultural production. The main objective of this paper is to characterize the spatiotemporal dynamics of crop water use in the Central Valley of California using Landsat-based annual actual evapotranspiration (ETa) from 2008-2018 derived from the Operational Simplified Surface Energy Balance (SSEBop) model. Crop water use for ten crops are characterized at multiple scales. The Mann-Kendall trend analysis revealed a significant increase in area cultivated with almonds and their water use, with an annual rate of change of 16,327 hectares in area and 13,488 ha-m in water use. Conversely,...
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We produced a time series of maps of habitat structure within wetlands of the Central Valley of California. The structure of open water and tall emergent vegetation, such as Typha spp. and Schoenoplectus spp., is critical for migratory birds. Through field observation and digitization of high resolution imagery we identified the locations of tall emergent vegetation, water, and other land cover. Using a random forest classification, we classified multispectral Landsat 8 imagery 2013-2017. We used images from the fall when most wetlands are flooded and the summer to separate trees and tall emergent vegetation. The final maps show the distribution and extent of tall emergent vegetation within wetlands. Final time...
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The dataset documents the spatial and temporal variability of nutrients and related water quality parameters at high spatial resolution in the North Delta and Central Delta, in the Sacramento-San Joaquin River Delta of California, USA. The dataset includes nitrate, ammonium, phosphate, dissolved organic carbon, temperature, conductivity, dissolved oxygen, and chlorophyll as well as information about phytoplankton community composition. Data-collection cruises were conducted under three different environmental/flow conditions in June, July, and August of 2020. The data release consists of a xml document, text, csv, and shapefiles documents. Descriptions for each document and file are listed below. NOTE: Files marked...
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We produced a series of maps of moist soil seed plants within managed wetlands in the Central Valley of California from 2007-2011 & 2013-2017. Moist soil seed plants, such as swamp timothy (Crypsis schoenoides) and watergrass (Echinochloa crusgallim), are a critical food source for migratory birds. Vegetation maps were created by classifying Landsat imagery from 2007-2011 and 2013-2017. A support vector machine learning classifier was trained using phenology metrics of moist soil seed plants, emergent vegetation, water, and other land cover observed via field surveys and high resolution imagery. Productivity maps of swamp timothy were based on a regression model of seed head weight with Landsat vegetation indices....
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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...
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The U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board and the U.S. Bureau of Land Management compiled and analyzed data for mapping groundwater salinity and characterizing aquifer systems in and around selected oil and gas fields in California. Data were collected for the Poso Creek oil field area which includes well construction data, production and injection volumes, oil show data, digitized borehole geophysical data, geochemical analyses of produced water from oil and gas wells and water well samples, geological formation depths, core sample analyses, and geophysical data associated with estimating groundwater total dissolved solids (TDS) of formation water....
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These data describe the location (terrestrial or aquatic) and activity status (active or inactive) of giant gartersnakes (Thamnophis gigas) by individual and location.
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We produced a series of maps of moist soil seed plants within managed wetlands in the Central Valley of California from 2007-2011 & 2013-2017. Moist soil seed plants, such as swamp timothy (Crypsis schoenoides) and watergrass (Echinochloa crusgallim), are a critical food source for migratory waterfowl. Through field observation and digitization of high resolution imagery we identified the locations of moist soil seed plants, tall emergent vegetation, water, and other land cover. Using a Support Vector Machine classification, we classified multispectral Landsat imagery from 2007-2011 and 2013-2017. We used images from May through August to create phenology metrics. The final datasets were used to train and test the...
In the United States, environmentally impaired rivers are subject to regulation under total maximum daily load (TMDL) regulations that specify watershed wide water quality standards. In California, the setting of TMDL standards is accompanied by the development of scientific and management plans directed at achieving specific water quality objectives. The San Joaquin River (SJR) in the Central Valley of California now has a TMDL for dissolved oxygen (DO). Low DO conditions in the SJR are caused in part by excessive phytoplankton growth (eutrophication) in the shallow, upstream portion of the river that create oxygen demand in the deeper estuary. This paper reports on scientific studies that were conducted to develop...
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As part of the California State Water Resources Control Board’s Oil and Gas Regional Monitoring Program , the U.S. Geological Survey collected groundwater and quality-control (QC) samples during September 2016–February 2017 from 14 water-production wells located within a one-mile buffer zone of and in the Fruitvale Oil field, Kern County, California. Samples were analyzed for water-quality indicators, major and minor ions, nutrients, trace elements, volatile organic compounds, naturally occurring radioactive material, geochemical and age-dating tracers, dissolved organic carbon, dissolved standard and hydrocarbon gases, and dissolved noble and atmospheric gases. In total, 235 constituents and water-quality indicators...
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We produced a series of maps of moist soil seed plants within managed wetlands in the Central Valley of California from 2007-2011 & 2013-2017. Moist soil seed plants, such as swamp timothy (Crypsis schoenoides) and watergrass (Echinochloa crusgallim), are a critical food source for migratory birds. For each of the Moist Soil Seed maps from 2007 to 2017, we mapped productivity of swamp timothy where swamp timothy was mapped according to a multiple regression of the average log seed head weight per Landsat pixel to Landsat derived values for green chlorophyll index (NIR/green - 1), swir1 reflectance, red green simple ratio (red/green) and SSURGO derived percent clay (STprod). For areas mapped as watergrass, we mapped...
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The U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board compiled and analyzed data for the purpose of mapping groundwater salinity in selected oil and gas fields in California. The data for the Fruitvale and Rosedale Ranch oil fields include well construction data, digitized borehole geophysical data, geochemical analyses of water samples from oil and gas wells and groundwater wells, geological formation depths, and the groundwater total dissolved solids (TDS) calculations used in an accompanying manuscript. These data have been compiled from many sources and span several decades. The well construction data includes attributes such as the date drilling began (spud...
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The U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board compiled and analyzed data for the purpose of mapping groundwater salinity in selected oil and gas fields in California. The data for the Fruitvale and Rosedale Ranch oil fields include well construction data, digitized borehole geophysical data, geochemical analyses of water samples from oil and gas wells and groundwater wells, geological formation depths, and the groundwater total dissolved solids (TDS) calculations used in an accompanying manuscript. These data have been compiled from many sources and span several decades. The well construction data includes attributes such as the date drilling began (spud...
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These data describe differences in percent cover of microhabitats and vegetation types at giant gartersnake locations and random points paired with giant gartersnake locations for use in case-control logistic regression. The data also include information on the individual snake, the year of observation, and whether the individual had moved from its previous location to allow for correlation of the data within individuals and locations


map background search result map search result map Habitat Type and Activity by Giant Gartersnakes Associated with a Restored Marsh in California Differences between Used and Available Microhabitats and Vegetation Types for Giant Gartersnakes Associated with a Restored Marsh in California Modern groundwater-quality, depth, and well-construction data for selected wells in the San Joaquin Valley, California, 1993-2015 Historic Depth-to-Water, San Joaquin Valley, California, 1910 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 Geochemical and geophysical data for wells in the Fruitvale and Rosedale Ranch oil and gas fields, Kern County, California, USA Spatio-temporally decoupled land use influences honey bee health and pollination service delivery dataset Geochemical and geophysical data for wells in the Fruitvale oil and gas field Wetland Habitat Structure Maps for the Central Valley of California 2013-2017 Geochemical, geological, and geophysical data for wells in the Poso Creek oil and gas field, Kern County, California Wetland Moist Soil Seed Maps for the Central Valley of California 2007-2017 Field measurements for characterizing salmon spawning habitat in two restored reaches of the lower Merced River, California Surveys of channel bed topography from two restored reaches of the lower Merced River, California Wetland Moist Soil Seed Maps for the Central Valley of California 2007-2017: Training and Testing Data Wetland Moist Soil Seed Productivity Maps for the Central Valley of California 2007 - 2017 Crop Water Use in the Central Valley of California using Landsat-derived evapotranspiration Water chemistry data for samples collected at groundwater sites near the Fruitvale oil field, September 2016–February 2017, Kern County, California (ver. 2.0, July 2020) Assessing spatial variability of nutrients, phytoplankton and related water-quality constituents in the California Sacramento-San Joaquin Delta at the landscape scale: 2020 High-resolution mapping surveys Habitat Type and Activity by Giant Gartersnakes Associated with a Restored Marsh in California Differences between Used and Available Microhabitats and Vegetation Types for Giant Gartersnakes Associated with a Restored Marsh in California Surveys of channel bed topography from two restored reaches of the lower Merced River, California Field measurements for characterizing salmon spawning habitat in two restored reaches of the lower Merced River, California Geochemical and geophysical data for wells in the Fruitvale and Rosedale Ranch oil and gas fields, Kern County, California, USA Geochemical, geological, and geophysical data for wells in the Poso Creek oil and gas field, Kern County, California Geochemical and geophysical data for wells in the Fruitvale oil and gas field Assessing spatial variability of nutrients, phytoplankton and related water-quality constituents in the California Sacramento-San Joaquin Delta at the landscape scale: 2020 High-resolution mapping surveys Modern groundwater-quality, depth, and well-construction data for selected wells in the San Joaquin Valley, California, 1993-2015 Historic Depth-to-Water, San Joaquin Valley, California, 1910 Spatio-temporally decoupled land use influences honey bee health and pollination service delivery dataset Wetland Habitat Structure Maps for the Central Valley of California 2013-2017 Wetland Moist Soil Seed Maps for the Central Valley of California 2007-2017 Wetland Moist Soil Seed Maps for the Central Valley of California 2007-2017: Training and Testing Data Wetland Moist Soil Seed Productivity Maps for the Central Valley of California 2007 - 2017 Crop Water Use in the Central Valley of California using Landsat-derived evapotranspiration 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