Name (click for metadata and to rate record) Description Agency Subagency Category
Fruit and Tree Nut Data This data product provides users with comprehensive statistics on fresh and processed fruit, melons, and tree nuts in the United States, as well as global production and trade data for these sectors. It harmonizes and integrates data from the USDA Economic Research Service market outlook program with data collected by different Federal and international statistical agencies to facilitate analyses of economic performance over time, and across domestic and foreign markets. USDA ERS Agriculture
Vegetables and Pulses Data This data product provides users with comprehensive statistics on fresh and processed vegetables and pulses in the United States, as well as global production and trade data for these sectors. It harmonizes and integrates data from the ERS market outlook program with data collected by different Federal and international statistical agencies to facilitate analyses of economic performance over time, and across domestic and foreign markets. USDA ERS Agriculture
LCA Digital Commons Database-Field Crop Production Datasets Life cycle assessment (LCA) is a compilation and evaluation of the inputs, outputs and potential environmental impacts of a product system throughout its life cycle. LCA describes the life cycle as consecutive and interlinked stages of a product system extending from the acquisition of raw materials through materials processing, technology manufacturing/construction, technology use/maintenance/upgrade, and the technology retirement. LCA also provides a framework for understanding economic and social impacts. In an LCA, data are collected at the unit process level, intended to represent a single industrial activity, in this case the food and agriculture industry. Each single industrial activity (a) produces product and sometimes co-products; (b) uses resources from the environment; (c) uses resources from other unit processes in the technosphere; and (d) generates emissions to the environment. In an LCA, the inventory analysis combines unit process data for the life cycle and the impact assessment estimates the impact associated with activities and flows to and from the environment for the inventory. These field crop production datasets have been developed for the LCA Digital Commons in response to a national need for data representing US operations. The LCA Digital Commons database is an open access database developed by the United States Department of Agriculture (USDA) National Agricultural Library (NAL) for use in LCAs to support policy assessment, technology implementation decision-making, and publically disclosed comparative product or technology assertions. Field crop production data include the following processes: Residue burning; soil preparation; planting or sowing; irrigation; application, storage, and transport of fertilizers, manures, liming materials, secondary materials, and pesticides; and harvest. The LCA Digital Commons field crop production data were modeled from USDA Agricultural Resource Management Survey (ARMS) data. Models were reviewed independently. USDA ARS Agriculture
LCA Digital Commons Database Life Cycle Assessment (LCA) is a compilation and evaluation of the inputs, outputs and potential environmental impacts of a product system throughout its life cycle. LCA describes the life cycle as consecutive and interlinked stages of a product system extending from the acquisition of raw materials through materials processing, technology manufacturing/construction, technology use/maintenance/upgrade, and the technology retirement. LCA also provides a framework for understanding economic and social impacts. In an LCA, data are collected at the unit process level, intended to represent a single industrial activity, in this case the food and agriculture industry. Each single industrial activity (a) produces product and sometimes co-products; (b) uses resources from the environment; (c) uses resources from other unit processes in the technosphere; and (d) generates emissions to the environment. In an LCA, the inventory analysis combines unit process data for the life cycle and the impact assessment estimates the impact associated with activities and flows to and from the environment for the inventory. Datasets have been developed for the LCA Digital Commons in response to a national need for data representing US operations. The LCA Digital Commons database is an open access database developed by the United States Department of Agriculture (USDA) National Agricultural Library (NAL) for use in LCAs to support policy assessment, technology implementation decision-making, and publically disclosed comparative product or technology assertions. USDA ARS Population
Soybase SoyBase is the USDA-ARS soybean genetics and genomics database. Contents include the genome sequence, the genetic map (markers, QTL, etc.), metabolic pathways, transcription and expression data, mutant information, and selected analysis tools and community resources. USDA ARS Agriculture
MaizeGDB MaizeGDB is a community-oriented, long-term, federally funded informatics service to researchers focused on the crop plant and model organism Zea mays. USDA ARS Agriculture
USDA National Nutrient Database for Standard reference The USDA National Nutrient Database for Standard Reference, Release 25 (SR25) is the major source of food composition data in the United States and provides the foundation for most public and private sector databases. SR25 contains nutrient data for over 8,100 food items and up to 146 food components, such as vitamins, minerals, amino acids, and fatty acids. It replaces the previous release, SR24 issued in September 2011. USDA ARS Health and Nutrition
PLEXdb : Gene Expression Resources for Plant and Pant Pathogens PLEXdb (Plant Expression Database) is a unified gene expression resource for plants and plant pathogens. PLEXdb is a genotype to phenotype, hypothesis building information warehouse, leveraging highly parallel expression data with seamless portals to related genetic, physical, and pathway data. USDA ARS Agriculture
Actual Evaportranspiration - Africa The increasing availability of multi-scale remotely sensed data and global weather datasets is allowing the estimation of evapotranspiration (ET) at multiple scales. We present a simple but robust method that uses remotely sensed thermal data and model-assimilated weather fields to produce ET for the contiguous United States (CONUS) at monthly and seasonal time scales. The method is based on the Simplified Surface Energy Balance (SSEB) model which is now parameterized for operational applications, renamed as SSEBop. The innovative aspect of the SSEBop is that it uses pre-defined, boundary conditions that are unique to each pixel for the "hot" and "cold" reference conditions. The SSEBop model was used for computing ET for 12 years (2000-2011) using the MODIS and Global Data Assimilation System (GDAS) data streams. SSEPop ET results compared reasonably well with monthly eddy covariance ET data explaining 64% of the observed variability across diverse ecosystems in the CONUS during 2005. Twelve annual ET anomalies (2000-2011) depicted the spatial extent and severity of the commonly known drought years in the CONUS. More research is required to improve the representation of the pre-defined boundary conditions in complex terrain at small spatial scales. SSEBop model was found to be a promising approach to conduct water use studies in the CONUS, with a similar opportunity in other parts of the world. The approach can also be applied with other thermal sensors such as Landsat. DOI USGS Agriculture
Cassavabase In addition to cassava phenotypic and genotypic data Cassavabase also offers access to all Genomic Selection analysis tools and phenotyping tools developed by the NEXTGEN Cassava project, as well as links to auxiliary genome browser, ontology tools and social networking tools for the cassava community. Cassavabase aims to provide a "one-stop shop" for cassava researchers and breeders worldwide. USDA ARS Agriculture