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Extracted raster datasets from the "Gridded Soil Survey Geographic Database for Texas"
Raster datasets extracted from the Texas gSSURGO file geodatabase. Files were processed in ArcGIS software to extract a number of different datasets, saved as individual raster datasets for ease of reuse.
Soil Survey Staff. Gridded Soil Survey Geographic (gSSURGO) Database for Texas. United States Department of Agriculture, Natural Resources Conservation Service. Available online at http://datagateway.nrcs.usda.gov/. 20180917 (FY2019 official release).
The U.S. Department of Agriculture, Natural Resources Conservation Service, are acknowledged as the data source for the products from which these datasets were derived.This dataset is not designed for use as a primary regulatory tool in permitting or siting decisions, but may be used as a reference source. This is public information and may be interpreted by organizations, agencies, units of government, or others based on needs; however, they are responsible for the appropriate application. Federal, State, or local regulatory bodies are not to reassign to the Natural Resources Conservation Service any authority for the decisions that they make. The Natural Resources Conservation Service will not perform any evaluations of these maps for purposes related solely to State or local regulatory programs. Digital data files are periodically updated. Files are dated, and users are responsible for obtaining the latest version of the data
Paradox Basin - Cutler Group and Chinle Formation - Detrital Zircon Grain Size and Age Data
Paradox Basin - Cutler Group and Chinle Formation - Detrital Zircon Grain Size and Age Dat
300 Key African American Literary Texts.
This dataset is comprised of 300 African American novels, essays, poems, autobiographies, slave narratives, and short stories. Inspired by Metacaon.org, a project that weights texts based primarily on the number of citations that works have received in scholarly journals. The dataset draws on five databases: JSTOR, Project Muse, ProQuest, Google Scholar, and the online archives for The New York Times archives to determine the scholarly significance of Black authored texts primarily by the number of times they are cited in scholarly contexts
Maximum Entropy machine learning model output using all digitized downed trees with six variables and regularization multiplier of 3.0
This dataset (multiple outputs files in a compressed folder) is output from a run of the Maxent ML Model (Phillips et.al., 2006, url: https://biodiversityinformatics.amnh.org/open_source/maxent/) using all digitized downed trees (N=9505) and includes all environmental variables (vegetation community, inundation probability, and soil classification, elevation, generalized slope, Euclidean distance from river) implemented as hinge features with a regularization multiplier (beta parameter) of 3.0. The value of 0p000 in the dataset file name refers to the fact that it uses all digitized downed trees.
Phillips, S.J., Anderson, R.P., Schapire, R.E. (2006). Maximum Entropy modelling of species geographic distribution. Ecological Modelling, 190, 231-259.</p
Hydropower reservoir data in the CONUS
This dataset contains reservoir elevation, area, storage, and evaporartion dat
Replication Data for "Moderate amounts of epistasis are not evolutionarily stable in small populations" by Sydykova et al.
Simulation data of small populations evolving in epistatic fitness landscapes. The data were generated with and subsequently analyzed by the code archived at: https://doi.org/10.5281/zenodo.355880
Aug3_M50_Data2
Data files produced by IonWake code used to produce the graphs in "Dust Charging in Dynamic Ion Wakes