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MODFLOW-USG model used to evaluate water management issues in the Los Angeles Coastal Plain, California MODFLOW-USG model used to evaluate water management issues in the Los Angeles Coastal Plain, California
Seven model data sets are archived for this groundwater study. One simulation for the Los Angeles Coastal Plain groundwater model and six scenario simulations to evaluate the effects of future production well rate increases to reach maximum adjudicated rates and construction of new well fields. Simulations were run with MODFLOW-USG.
Spatial Database of Known and Potential Cienegas in the Greater Madrean Archipelago Ecoregion Spatial Database of Known and Potential Cienegas in the Greater Madrean Archipelago Ecoregion
This dataset provides location information and some limited attributes of known and potential cienegas in the Madrean Archipelago ecoregion and closely surrounding area. This was created using point data and information provided by Dean Hendrickson and Thomas Minckley, combined with potential locations derived from analysis of classified raster land cover images and other specialized...
Codebook vectors and predicted rare earth potential from a trained emergent self-organizing map displaying multivariate topology of geochemical and reservoir temperature data from produced and geothermal waters of the United States Codebook vectors and predicted rare earth potential from a trained emergent self-organizing map displaying multivariate topology of geochemical and reservoir temperature data from produced and geothermal waters of the United States
This data release consists of three products relating to a 82 x 50 neuron Emergent Self-Organizing Map (ESOM), which describes the multivariate topology of reservoir temperature and geochemical data for 190 samples of produced and geothermal waters from across the United States. Variables included in the ESOM are coordinates derived from reservoir temperature and concentration of Sc, Nd...
Codebook vectors from a trained emergent self-organizing map displaying multivariate topology of geochemical and reservoir temperature data from produced and geothermal waters of the United States Codebook vectors from a trained emergent self-organizing map displaying multivariate topology of geochemical and reservoir temperature data from produced and geothermal waters of the United States
This data matrix contains the codebook vectors for a 82 x 50 neuron Emergent Self-Organizing Map which describes the multivariate topology of reservoir temperature and geochemical data for 190 samples of produced and geothermal waters from across the United States. Variables included are coordinates derived from reservoir temperature and concentration of Sc, Nd, Pr, Tb, Lu, Gd, Tm, Ce...
Chemical and isotopic composition of produced waters from the lower Eagle Ford Group, south-central Texas Chemical and isotopic composition of produced waters from the lower Eagle Ford Group, south-central Texas
This dataset contains chemical and isotopic data from 39 produced water samples collected from sealed separators containing water from horizontal hydrocarbon wells in the lower Eagle Ford Group. The samples were collected from Lavaca and Gonzales counties, Texas in December, 2015. All wells had been in production for longer than 6 months and had produced more than 10,000 barrels (~160...
Bird Species Checklists from USGS Alaska Science Center Field Camps Bird Species Checklists from USGS Alaska Science Center Field Camps
These data are daily summary checklists of all bird species observed at U.S. Geological Survey, Alaska Science Center (ASC) field camps. Data include species observation details such as observers, dates, location, and number of individuals seen.