Data

Code and associated files hosted on USGS GitLab which support the USGS Chesapeake Bay Studies Data Catalog Application available at https://rconnect.usgs.gov/ChesapeakeBayDataCatalog/.

Code files "growth_analysis.R" -An R script to fit the von Bertalanffy growth model to growth data from San Francisco gartersnakes. The von Bertalanffy growth model is fit using JAGS software (Plummer 2003), and is based on the model presented in Armstrong and Brooks (2013). "survival_analysis.R" -An R script to fit the robust-design Cormack-Jolly-Seber model to capture-mark-recapture...

-R code to create and fit dynamic occupancy models to Dixie Valley Toad survey data in JAGS and produce useful summaries of model results. This script will perform the Gibbs Variable Selection (GVS) using the initial set of environmental covariates, and then fit the "final" model using only important environmental covariates. The dynamic occupancy model is adapted from the model...

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...

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...

For the open-file report we collected new coking coal samples from Alabama, Kentucky, Oklahoma and Arkansas and analyzed them for proximate and ultimate analyses; calorific value; sulfur forms; major-, minor-, and trace-element abundances; free swelling indices; Gieseler plasticity; ASTM dilatation; coal petrography, and several other tests [air-dry loss (ADL), residual moisture (RM)...

The files in this data release are the raw and processed DNA sequence files referenced in the journal article by Lawler and others (2016) titled "Coral-Associated Bacterial Diversity is Conserved across Two Deep-Sea Anthothela Species." They represent a 16S rRNA gene amplicon survey of the coral's microbiome completed using Roche 454 pyrosequencing with titanium reagents. Baltimore and...

The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to...

This dataset contains all publicly-available analytical data collected by the U.S. Geological Survey (USGS) at each location within the Pennsylvania Groundwater Monitoring Network (GWMN) from 2015 to present. Additional analytical data will be appended following the conclusion of each sampling season, and all data is made publicly available in the online National Water Inventory System...

The COAWST modeling system has been used to simulate ocean and wave processes along the of US East Coast and Gulf of Mexico. The grid has a horizontal resolution of approximately 5km and is resolved with 16 vertical terrain following levels. The model has been executed on a daily basis since 2010 with outputs written every hour. Data access is available through a Globus access portal...

These data were compiled to understand the effects of riparian vegetation health on local abundance and species diversity of land birds. The primary objective of our study was to to determine the effects of riparian restoration on birds in the Colorado River delta. These tabular data represent vegetation indices and evapotranspiration (ET) data at varying spatial scales that correspond...

This dataset is a new Digital Elevation Model (DEM) using the best available high-resolution topography and bathymetry surrounding the area of Whittier, Alaska. We utilized three datasets (1) LiDAR topography collected by the Alaska Division of Geological and Geophysical Surveys (DGGS) in 2012, (2) multibeam echosounder system (MBES) survey of western Passage Canal collected by the USGS...