Prioritization of dam rehabilitation, improved flood warning systems, development of emergency action plans, and inform policy makers on zoning regulations.
The Russian-English Agricultural Atlas is the world’s most comprehensive source of information on the geographic distribution of plant-based agriculture in Russia and neighboring countries. The Atlas contains 1500 maps that illustrate the distribution of 100 crops, 560 wild crop relatives, 640 diseases, pests and weeds, and 200 environmental parameters. Additionally, the Atlas provides detailed biological descriptions, illustrations, metadata and reference lists. Currently, individual maps can be downloaded and viewed using freely available AgroAtlas GIS Utility software, which can also be downloaded at this site.
Several USDA food composition databases, including the Food and Nutrient Database for Dietary Studies (FNDDS), Standard Reference (SR) Legacy, and the USDA Branded Food Products Database, have transitioned to FoodData Central, a new and harmonized USDA food and nutrient data system. FoodData Central will also include expanded nutrient content information never before available, as well as links to diverse data sources that offer related agricultural, food, health, dietary supplement, and other information.
Data from: Assessment of town and park characteristics related to physical activity in the Lower Mississippi Delta
The Delta Neighborhood Physical Activity Study was an observational study designed to assess characteristics of neighborhood built environments associated with physical activity. It was an ancillary study to the Delta Healthy Sprouts Project and therefore included towns and neighborhoods in which Delta Healthy Sprouts participants resided. The 12 towns were located in the Lower Mississippi Delta region of Mississippi. Data were collected via electronic surveys between August 2016 and September 2017 using the Rural Active Living Assessment (RALA) tools and the Community Park Audit Tool (CPAT). Scale scores for the RALA Programs and Policies Assessment and the Town-Wide Assessment were computed using the scoring algorithms provided for these tools via SAS software programming.
The Research Projects Database (RPD) provides current food safety research projects from both U.S. and international government, and non-government organizations.
The Remote-sensing-based Flood Crop Loss Assessment Service System (RF-CLASS) is an Earth Observation (EO) based flood crop loss assessment cyber-service system operated by the Center for Spatial Information Science and Systems (CSISS), George Mason University. RF-CLASS supports flood-related crop statistics and insurance decision-making.
These data are the simulation results described in the article by Aistrup et al., "Sustaining the Ogallala Aquifer: From the Wells to People, A Holistic CNH Model," accepted for publication in Hydrology and Earth System Sciences. The data are being publicly shared in accordance with journal policy.
This page contains metadata, or data about data, for our spatial data sets. The data sets are organized by theme which are shown in the table of contents frame. For example, if you are interested in a data set that has to do with water, just click on the water link in the table of contents. Then click on the name of the data set of interest to view the data dictionary. Each data dictionary will explain geographic information about the data set, who the data steward is, how the data set was built, and other associated information. It will also describe the database tables that are associated with the data set. Please contact the data steward (if noted) if you have questions about the content of the data. Their phone number is included within the data dictionary. The export files are shapefiles or geodatabases that have been compressed with WinZip. Projection is a local Albers projection defined for the area of Oregon and Washington in Region 6 of the Forest Service, NAD 83, units are in meters.