AndreaBozzo/ceres-open-data-index huggingface dataset:
ROSETTA

<p>Mathematical models have become increasingly popular in both research and management problems involving flow and transport processes in the subsurface. The unsaturated hydraulic functions are key input data in numerical models of vadose zone processes. These functions may be either measured directly or estimated indirectly through prediction from more easily measured data based using quasi-empirical models. Rosetta V1.0 is a Windows 95/98 program to estimate unsaturated hydraulic properties from surrogate soil data such as soil texture data and bulk density. Models of this type are called pedotransfer functions (PTFs) since they translate basic soil data into hydraulic properties. Rosetta can be used to estimate the following properties:</p>
<ul>
<li>Water retention parameters according to van Genuchten (1980)</li>
<li>Saturated hydraulic conductivity</li>
<li>Unsaturated hydraulic conductivity parameters according to van Genuchten (1980) and Mualem (1976)</li>
</ul>
<p><br>
<br></p>
<p>Detailed description of the hydraulic functions Rosetta offers five PTFs that allow prediction of the hydraulic properties with limited or more extended sets of input data. This hierarchical approach is of a great practical value because it permits optimal use of available input data. The models use the following hierarchical sequence of input data</p>
<ul>
<li>Soil textural class</li>
<li>Sand, silt and clay percentages</li>
<li>Sand, silt and clay percentages and bulk density</li>
<li>Sand, silt and clay percentages, bulk density and a water retention point at 330 cm (33 kPa).</li>
<li>Sand, silt and clay percentages, bulk density and water retention points at 330 and 15000 cm (33 and 1500 kPa)</li>
</ul>
<p><br>
<br></p>
<p>The first model is based on a lookup table that provides class average hydraulic parameters for each USDA soil textural class. The other four models are based on neural network analyses and provide more accurate predictions when more input variables are used. In addition to the hierarchical approach, we also offer a model that allows prediction of the unsaturated hydraulic conductivity parameters from fitted van Genuchten (1980) retention parameters (Schaap and Leij, 1999). This model is also used in the hierarchical approach such that it automatically uses the predicted retention parameters as input, instead of measured (fitted) retention parameters.</p>
<p>All estimated hydraulic parameters are accompanied by uncertainty estimates that permit an assessment of the reliability of Rosetta's predictions. These uncertainty estimates were generated by combining the neural networks with the bootstrap method (see Schaap and Leij (1998) and Schaap et al. (1999) for more information). </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: ROSETTA download page.</p> <p>File Name: Web Page, url: <a href="https://www.ars.usda.gov/research/software/download/?softwareid=141&modecode=20-36-15-00">https://www.ars.usda.gov/research/software/download/?softwareid=141&modecode=20-36-15-00</a> </p></li></ul><p></p>

Tags: ars, data-gov, hydrology, model, soils, water-retention
Organization: Department of Agriculture
N3DADE

<p>This research report documents the Fortran program N3DADE (Nonequilibrium 3-Dimensional Advection-Dispersion Equation) which may be used to evaluate analytical solutions described by Leij et al. [1993]. The analytical solutions pertain to selected cases of three-dimensional solute transport during steady unidirectional water flow in porous media of semi-infinite length in the longitudinal direction, and of infinite length in the transverse directions. The solutions may also be applied to one- and two-dimensional problems. Transport and flow properties of the medium are assumed to be macroscopically uniform. Nonequilibrium solute transfer can occur between two domains in either the liquid or the adsorbed phase. The transport equation contains terms for solute movement by advection and dispersion, and for solute retardation, first-order decay, and zero-order production. Solute concentrations are calculated as a function of time and space in a three-dimensional Cartesian coordinate system.</p>
<p>This report serves as both a user manual for the program and as documentation of the general analytical solutions of the boundary, initial and production value problems involved. A comprehensive set of specific solutions is presented using Dirac, Heaviside and exponential functions to describe the initial, boundary and production profiles. A rectangular or circular inflow area is specified for the boundary value problem, while for the initial and production value problems the respective initial and production profiles are defined for parallelepipedal, cylindrical, or spherical regions of the soil. Solutions are given for volume-averaged or resident concentrations, as well as for flux-averaged or flowing concentrations.</p>
<p>The user manual gives a detailed description of the computer program, including the subroutines used to evaluate the analytical solutions for optimizing model parameters. Input and output files for all major problems are also included.</p>
<p>The manual provides:</p>
<ul>
<li>A list of main program variables</li>
<li>The format of the input file</li>
<li>Listings of sample input and output files</li>
<li>
<p>The source code N3DADE.FOR</p>
<div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: N3DADE download page.</p> <p>File Name: Web Page, url: <a href="https://www.ars.usda.gov/research/software/download/?softwareid=99&modecode=20-36-15-00" target="_blank">https://www.ars.usda.gov/research/software/download/?softwareid=99&modecode=20-36-15-00</a> </p></li></ul>
</li>
</ul>

Tags: analytical-solutions, ars, data-gov, flow, model, solute-transport-media, transport-properties
Organization: Department of Agriculture
AGWA - Automated Geospatial Watershed Assessment Tool

<p>The Automated Geospatial Watershed Assessment (AGWA) tool is a GIS-based hydrologic modeling tool that uses commonly available GIS data layers to fully parameterize, execute, and spatially visualize results for the RHEM, KINEROS2, KINEROS-OPUS, SWAT2000, and SWAT2005 watershed runoff and erosion models. Accommodating novice to expert GIS users, it is designed to be used by watershed, water resource, land use, and resource managers and scientists investigating the hydrologic impacts of land-cover/land-use change in small watershed to basin-scale studies. AGWA is currently available as AGWA 1.5 for ArcView 3.x, AGWA 2.x for ArcGIS 9.x, and AGWA 3.X for ArcGIS 10.x.</p>
<p>Planning and assessment in land and water resource management are evolving from simple, local-scale problems toward complex, spatially explicit regional ones. Such problems have to be addressed with distributed models that can compute runoff and erosion at different spatial and temporal scales. The extensive data requirements and the difficult task of building input parameter files, however, have long represented an obstacle to the timely and cost-effective use of such complex models by resource managers.</p>
<p>The USDA- ARS Southwest Watershed Research Center, in cooperation with the U.S. EPA Office of Research and Development Landscape Ecology Branch, the University of Arizona, and the University of Wyoming, has developed a GIS tool to facilitate this process. A geographic information system (GIS) provides the framework within which spatially-distributed data are collected and used to prepare model input files and evaluate model results.</p>
<p>AGWA uses widely available standardized spatial datasets that can be obtained via the internet. The data are used to develop input parameter files for two watershed runoff and erosion models: KINEROS2 and SWAT. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: AGWA - Automated Geospatial Watershed  Assessment Tool.</p> <p>File Name: Web Page, url: <a href="https://www.tucson.ars.ag.gov/agwa/">https://www.tucson.ars.ag.gov/agwa/</a> </p><p>Main tool web site</p></li></ul><p></p>

Tags: ars, data-gov, gis, hydrologic-impacts, hydrological-modeling, land-use-and-land-cover-change, modeling-tool
Organization: Department of Agriculture
National Microbial Germplasm Program

<p dir="ltr">The goal of the National Microbial Germplasm Program is to ensure that the genetic diversity of agriculturally important microorganisms is maintained to enhance and increase agricultural efficiency and profitability. The program collects, authenticates, and characterizes potentially useful microbial germplasm; preserves microbial genetic diversity; and facilitates distribution and utilization of microbial germplasm for research and industry.</p><p dir="ltr">The Agricultural Research Service maintains several microbial germplasm collections including:</p><ul><li><a href="http://nrrl.ncaur.usda.gov/">USDA ARS Culture Collection</a></li><li><a href="http://www.ars.usda.gov/Main/docs.htm?docid=12125">USDA ARS Collection of Entomopathogenic Fungal Cultures (ARSEF)</a></li><li><a href="https://www.ars-grin.gov/Rhizobium">Query or Download the Rhizobium Database</a></li><li><a href="https://nt.ars-grin.gov/fungaldatabases/specimens/specimens.cfm">US National Fungus Collections</a><br>Resources in this dataset:<br></li><li><ul><li>Resource Title: National Microbial Germplasm Program .File Name: Web Page, url: https://www.ars-grin.gov/Collections#microbial-germplasm Main web site for the National Microbial Germplasm Program with links to component databases/collections.</li></ul></li></ul><p><br></p>

Tags: ars, data-gov, national-microbial-germplasm-program, nmgp, np301, online-database
Organization: Department of Agriculture
Releases of Beneficial Organisms in the United States and Territories (ROBO) database

<p>The <a href="https://www.ars-grin.gov/nigrp/robo.html">Releases Of Beneficial Organisms (ROBO)</a> database consists of documented importations and releases of beneficial insects, mites, and microorganisms, as biological control agents of invasive pests and weeds, and as pollinators.  It also includes information on importation and release of microbial natural enemies, and as such is related to the <a href="https://www.ars-grin.gov/nmg/">National Microbial Germplasm Program</a>. The goal of the ROBO program is to provide information on invertebrate and microbial germplasm for biological control of invertebrate pests and weeds and ecological research. Users of this database are expected to be foreign and domestic scientists and students involved in biological control and ecological studies, public and private biological control practitioners, and officials in state and federal regulatory agencies dealing with issues involving the introduction of non-indigenous organisms.</p>
<p>The primary organisms covered by this database include: arthropod (insects, mites, and ticks), nematode and other invertebrate pests, weedy plants, and their microbial (bacteria, viruses, fungi, protozoa, etc.), arthropod, nematode and other invertebrate natural enemies. The primary emphasis of the database is collection, introduction, release, culture, establishment, recolonization and impact of non-indigenous organisms on pests in the United States, and their shipment to other countries. The database also includes information on the collection, introduction and release of non-indigenous invertebrate pollinators in the United States.</p>
<p>The ROBO site, originally at <a href="https://www.ars-grin.gov/nigrp/robo.html">https://www.ars-grin.gov/nigrp/robo.html</a>, contained descriptions with links to the database search interface and guidelines, but is in the process of being modernized. The link presented here as part of this resource explains the timeline for this activity, and will be updated once the project is complete. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Releases of Beneficial Organisms in the United States and Territories (ROBO) web page.</p> <p>File Name: Web Page, url: <a href="https://www.ars.usda.gov/research/project/?accnNo=420819">https://www.ars.usda.gov/research/project/?accnNo=420819</a> </p><p>The ROBO site, originally at <a href="https://www.ars-grin.gov/nigrp/robo.html">https://www.ars-grin.gov/nigrp/robo.html</a>, contained descriptions with links to the database search interface and guidelines, but is in the process of being modernized. The link presented here as part of this resource explains the timeline for this activity, and will be updated once the project is complete.</p></li></ul><p></p>

Tags: ars, data-gov, np301, online-database, releases-of-beneficial-organisms, robo
Organization: Department of Agriculture
Food Intakes Converted to Retail Commodities Databases (FICRCD)

<p>Food Intakes Converted to Retail Commodities Databases (FICRCD) provide data for foods consumed in the United States national dietary intake surveys at the retail commodity level. The survey foods are converted into 65 retail-level commodities. The commodities are grouped into eight major categories: Dairy Products; Fats and Oils; Fruits; Grains; Meat, Poultry, Fish and Eggs; Nuts; Caloric Sweeteners; and Vegetables, Dry Beans and Legumes.</p>
<p>The Food Intakes Converted to Retail Commodities Databases were jointly developed by USDA's Agricultural Research Service (ARS) and Economic Research Service (ERS) for the following six surveys:</p>
<ul>
<li>Continuing Survey of Food Intakes by Individuals 1994-1996 and 1998.</li>
<li>National Health and Nutrition Examination Survey 1999-2000.</li>
<li>What We Eat in America, National Health and Nutrition Examination Survey 2001-2002.</li>
<li>What We Eat in America, National Health and Nutrition Examination Survey 2003-2004.</li>
<li>What We Eat in America, National Health and Nutrition Examination Survey 2005-2006.</li>
<li>
<p>What We Eat in America, National Health and Nutrition Examination Survey 2007-2008.</p>
<div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Food Intakes Converted to Retail Commodities Databases (FICRCD).</p> <p>File Name: Web Page, url: <a href="https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/ficrcd-overview/" target="_blank">https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/ficrcd-overview/</a> </p><p>Web site of the Food Intakes Converted to Retail Commodities Databases (FICRCD), which provide data for foods consumed in the national dietary intake surveys at the retail commodity level. Provides links to Data Tables, Methodology and User Guide, and Factsheets.</p></li></ul>
</li>
</ul>

Tags: ars, data-gov, dietary-guidelines, ficrcd, food-intakes-converted-to-retail-commodities-databases, np107, nutrients, retail-commodities, wweia
Organization: Department of Agriculture
The Southwest Watershed Research Center Data Access Project (DAP)

<p>The USDA-ARS Southwest Watershed Research Center (SWRC) operates the Walnut Gulch Experimental Watershed (WGEW) in southeastern Arizona as an outdoor laboratory for studying semiarid rangeland hydrologic, ecosystem, climate, and erosion processes.</p>
<p>Since its establishment in 1953, the SWRC in Tucson, Arizona, has collected, processed, managed, and disseminated high-resolution, spatially distributed hydrologic data in support of the center's mission. Data management at the SWRC has evolved through time in response to new computing, storage, and data access technologies. In 1996, the SWRC initiated a multiyear project to upgrade rainfall and runoff sensors and convert analog systems to digital electronic systems supported by data loggers. This conversion was coupled with radio telemetry to remotely transmit recorded data to a central computer, thus greatly reducing operational overhead by reducing labor, maintenance, and data processing time. A concurrent effort was initiated to improve access to SWRC data by creating a system based on a relational database supporting access to the data via the Internet. An SWRC team made up of scientists, IT specialists, programmers, hydrologic technicians, and instrumentation specialists was formed. This effort is termed the Southwest Watershed Research Center Data Access Project (DAP).</p>
<p>The goal of the SWRC DAP is to efficiently disseminate data to researchers; land owners, users, and managers; and to the public. Primary access to the data is provided through a Web-based user interface. In addition, data can be accessed directly from within the SWRC network. The first priority for the DAP was to assimilate and make available rainfall and runoff data collected from two instrumented field sites, the WGEW near Tombstone, Arizona, and the Santa Rita Experimental Range (SRER) south of Tucson, Arizona.</p>
<div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Data Access Project.</p> <p>File Name: Web Page, url: <a href="https://www.tucson.ars.ag.gov/dap" target="_blank">https://www.tucson.ars.ag.gov/dap</a> </p><p>Datasets were provided by the USDA-ARS Southwest Watershed Research Center.  Funding for these datasets was provided by the United States Department of Agriculture, Agricultural Research Service. Please send 1 copy of the published manuscript to: Southwest Watershed Research Center, 2000 E. Allen Rd. Tucson, AZ 857119
</p></li></ul><p></p>

Tags: ars, data-gov, earth-science-agriculture-soils, earth-science-land-surface-erosion-sedimentation-sediment-transport, earth-science-terrestrial-hydrosphere-surface-water-runoff, fluxes, np211, online-database, precipitation, sediment, surface-runoff, wgew
Organization: Department of Agriculture
USDA Table of Nutrient Retention Factors, Release 6 (2007)

<p>Release 6, of this data set, replaces the previous release, Release 5, issued in 2003. The data set contains the factors for calculating retention of 26 vitamins, minerals and alcohol during food preparation. Factors for the other 25 food components in Release 4 are unchanged. Factors for total choline have been added to this release.  </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: USDA Table of Nutrient Retention Factors, Release 6 (2007).</p> <p>File Name: retn06.pdf</p><p>Resource Description: Release 6, of this data set, replaces the previous release, Release 5, issued in 2003. The data set contains the factors for calculating retention of 26 vitamins, minerals and alcohol during food preparation. Factors for the other 25 food components in Release 4 are unchanged. Factors for total choline have been added to this release. </p></li><br><li><p>Resource Title: USDA Table of Nutrient Retention Factors, Release 6 (2007).</p> <p>File Name: NutrientRetention.csv</p><p>Resource Description: Release 6, of this data set, replaces the previous release, Release 5, issued in 2003. The data set contains the factors for calculating retention of 26 vitamins, minerals and alcohol during food preparation. Factors for the other 25 food components in Release 4 are unchanged. Factors for total choline have been added to this release.</p>
<p>This data was downloaded from the published web site text version and converted to CSV format on November 16, 2017.</p></li><br><li><p>Resource Title: USDA Table of Nutrient Retention Factors, Release 6 (2007) Data Dictionary.</p> <p>File Name: NutrientRetentionDD.csv</p></li></ul><p></p>

Tags: ars, data-gov, np107
Organization: Department of Agriculture
Data From: Weather, Snow, and Streamflow data from four western juniper-dominated Experimental Catchments in south western Idaho, USA.

<p>Weather, snow, stream, topographic, and vegetation data are presented from the South Mountain Experimental Catchments from water years 2007-2013 (10-1-2007 to 9-30-2013). The data provide detailed information on the weather and hydrologic response for four highly instrumented catchments in the late stages of woodland encroachment. Hourly data from six meteorologic stations and four weirs have been carefully processed and quality checked, are serially complete, and ideal for hydrologic, ecosystem, and biogeochemical modeling. Topographic and vegetation data, as well as stream and drainage area delineations are Lidar-derived. This study site was established in 2007 as a collaborative, long-term research laboratory to address the impacts of western juniper (<em>Juniperus occidentalis</em> Hook) encroachment and treatments in the interior Great Basin region of the western USA. </p>
<p>For more information about this dataset, contact:
Patrick R. Kormos: patrick.kormos@ars.usda.gov
Danny G. Marks: ars.danny@gmail.com</p>

Tags: ars, data-gov, earth-science-atmosphere-atmospheric-radiation-incoming-solar-radiation, earth-science-atmosphere-atmospheric-temperature-air-temperature, earth-science-atmosphere-atmospheric-water-vapor-dew-point-temperature, earth-science-atmosphere-atmospheric-water-vapor-humidity, earth-science-atmosphere-atmospheric-winds-surface-winds-wind-speed-wind-direction, earth-science-atmosphere-precipitation-precipitation-amount, earth-science-atmosphere-precipitation-rain, earth-science-atmosphere-precipitation-snow, earth-science-biosphere-aquatic-ecosystems, earth-science-terrestrial-hydrosphere-surface-water, earth-science-terrestrial-hydrosphere-surface-water-discharge-flow, juniperus-occidentalis, meteorological-data, np211, weather, weirs, western-united-states, woodland
Organization: Department of Agriculture
Revised Universal Soil Loss Equation, Version 2 (RUSLE2)

<p>RUSLE2 is a program  used to evaluate potential erosion rates at specific sites as well as guide conservation and erosion control planning. It also provides economic information about fuel use and costs for specific crop management systems. The RUSLE2 site also supplies data files from their site that work together in these categories: Crop Management Zone,  Climate, and Soil.  </p>
<p>RUSLE2 uses factors based on  climate, soil erodibility, topography, cover management and support practices to compute soil erosion. Conservation planning concepts must be understood and implemented into the RUSLE2 program in order for this program to be used effectively.</p>
<div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: RUSLE2 software download.</p> <p>File Name: RUSLE2_Program_File, url: <a href="http://fargo.nserl.purdue.edu/RUSLE2_ftp/RUSLE2_Program_File" target="_blank">http://fargo.nserl.purdue.edu/RUSLE2_ftp/RUSLE2_Program_File</a> </p><p>RUSLE2 download files: <a href="http://fargo.nserl.purdue.edu/RUSLE2_ftp/RUSLE2_Program_File" target="_blank">http://fargo.nserl.purdue.edu/RUSLE2_ftp/RUSLE2_Program_File</a>

Related data files include:
NCRS Master Database - download: <a href="https://fargo.nserl.purdue.edu/RUSLE2_ftp/NRCS_Base_Database/" target="_blank">https://fargo.nserl.purdue.edu/RUSLE2_ftp/NRCS_Base_Database/</a>
NCRS Climate Data - download: <a href="https://fargo.nserl.purdue.edu/RUSLE2_ftp/Climate_data/" target="_blank">https://fargo.nserl.purdue.edu/RUSLE2_ftp/Climate_data/</a>
Crop Management Templates, Crop Management Zone Maps Data Files: <a href="https://fargo.nserl.purdue.edu/RUSLE2_ftp/Crop_Management_Templates/" target="_blank">https://fargo.nserl.purdue.edu/RUSLE2_ftp/Crop_Management_Templates/</a>
Soils data - files by state: https://fargo.nserl.purdue.edu/rusle2_dataweb/NRCS_Soils_Data_Files.htm</p></li></ul><p></p>

Tags: ars, climate, conservation, data-gov, earth-science-agriculture-soils, rusle2, soil-erosion, topography
Organization: Department of Agriculture