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MODFLOW-OWHM model used to simulate groundwater flow and evaluate storage in the Lucerne Valley Groundwater Basin, California MODFLOW-OWHM model used to simulate groundwater flow and evaluate storage in the Lucerne Valley Groundwater Basin, California
A three-dimensional groundwater flow model, MODFLOW-OWHM, was developed to provide a better understanding of the hydrogeology of the Lucerne Valley Groundwater Basin, California. The model was used to investigate the historical groundwater storage loss and subsidence associated with anthropogenic groundwater demands. The model was calibrated to 1942 through 2016 conditions. This USGS...
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.
Mojave Seed Menus: a new spatial tool for restoration software release v1.0 Mojave Seed Menus: a new spatial tool for restoration software release v1.0
Mojave Seed Menus is a spatial decision-support tool designed to help land managers create suitable seed mixes for restoration sites, such as a burned area or other mapped spatial feature. The application provides coverage for the Mojave Desert ecoregion. Seed menus are based on a combination of habitat suitability models for 50 priority restoration plant species. Species are selected...
Molecular and morphological data for Channa aurolineata in Florida Molecular and morphological data for Channa aurolineata in Florida
We analyzed morphological and molecular data from one existing and one newly discovered population of 'bullseye' snakehead (Teleostei: Channidae) from Florida. Morphological and meristic data were collected from museum collections and compared with data from recent taxonomic revisions of related species in the 'Marulius' species group from southeast Asia. Additionally, we performed DNA...
Molecular speciation of Ge within sphalerite, hemimorphite, and quartz from mine waste from the Tar Creek Superfund Site, Tri-State Mining District, Oklahoma, U.S.A. Molecular speciation of Ge within sphalerite, hemimorphite, and quartz from mine waste from the Tar Creek Superfund Site, Tri-State Mining District, Oklahoma, U.S.A.
Oxidation state and bonding environment of Ge in minerals within mine waste from sampled historical waste piles from the Tar Creek Superfund Site, Oklahoma, U.S. were determined by linear combination fits from x-ray absorption near edge spectroscopy (XANES) analysis. Ge content in quartz within these wastes was determined using XANES edge steps, and Ge content in sphalerite was compared...
Monitoring Trends in Burn Severity (ver. 12.0, April 2025) Monitoring Trends in Burn Severity (ver. 12.0, April 2025)
The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (including wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500...
Monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River Basin for the period 1950-2015 Monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River Basin for the period 1950-2015
This metadata record describes monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River Basin for the period 1950-2015. A statistical machine learning technique - random forest modeling (Liaw and Wiener, 2018; R Core Team, 2020) - was applied to estimate natural flows using about 150...
Morphological measurements of Antillean manatees from Guantanamo Bay, Cuba Morphological measurements of Antillean manatees from Guantanamo Bay, Cuba
The data were collected by U.S.G.S. biologists and their partners during several field trips from March 2013 to April 2014 in Guantanamo Bay, Cuba. Data were collected during the manatee health assessments. The U.S. Geological Survey's Sirenia Project is a federal research effort focusing on manatee biology and ecology with a long history of studies in the U.S., Puerto Rico, and the...
Movement Data of Partially Migratory Brown Pelicans from the South Atlantic Bight Movement Data of Partially Migratory Brown Pelicans from the South Atlantic Bight
This dataset contains locations acquired from GPS-tagged Brown Pelicans in the South Atlantic Bight. Locations correspond to the movements of pelicans tracked during the autumn migratory period (post-breed to the following spring, with length of deployment varying individually) from 2017-2020. Additional metrics include intrinsic and extrinsic variables both measured and acquired which...
Multi-objective Modeling as a Decision-support Tool for Feral Horse Management Multi-objective Modeling as a Decision-support Tool for Feral Horse Management
Decisions related to controversial problems in natural resource management receive the greatest support when they account for multiple objectives of stakeholders in a structured and transparent fashion. In the United States, management of feral horses (Equus caballus) is a controversial multi-objective problem because disparate stakeholder groups have varying objectives and opinions...
Multi-task Deep Learning for Water Temperature and Streamflow Prediction (ver. 1.1, June 2022) Multi-task Deep Learning for Water Temperature and Streamflow Prediction (ver. 1.1, June 2022)
This item contains data and code used in experiments that produced the results for Sadler et. al (2022) (see below for full reference). We ran five experiments for the analysis, Experiment A, Experiment B, Experiment C, Experiment D, and Experiment AuxIn. Experiment A tested multi-task learning for predicting streamflow with 25 years of training data and using a different model for each...
Multibeam bathymetry and acoustic backscatter from the Alaskan region, Extended Continental Shelf Project, 2011 field season: Gulf of Alaska and Bering Sea Multibeam bathymetry and acoustic backscatter from the Alaskan region, Extended Continental Shelf Project, 2011 field season: Gulf of Alaska and Bering Sea
This publication releases swath bathymetry and backscatter datasets derived from multibeam bathymetric data acquired by the U.S. Geological Survey (USGS) on the R/V Marcus G. Langseth legs MGL1108 (transit) and MGL1109 in the Gulf of Alaska, and MGL1111 in the Bering Sea. Leg MGL1108 data were combined with leg MGL1109 data during processing. These data were acquired with a Kongsberg...