--- - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "The USDA/ARS Conservation Effects Assessment Project Team has developed a web-based data delivery system to provide access to soil, water, climate, land-management, and socio-economic data from a number of agricultural research watersheds. The system, STEWARDS: Sustaining the Earth's Watersheds, Agricultural Research Data System, allows a variety of users to search, visualize, and download data via the Internet." description_attribution: http://www.ars.usda.gov/Research/docs.htm?docid=18645 doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usda-ars-00015.yaml identifier: usda-ars-00015 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: "STEWARDS: Sustaining the Earth's Watersheds, Agricultural Research Data System" native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-ars-00015 url: http://www.nrrig.mwa.ars.usda.gov/stewards/stewards.html variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: '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.' description_attribution: http://www.ars.usda.gov/SP2UserFiles/Place/12354500/Data/SR25/sr25_doc.pdf doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usda-ars-00020.yaml identifier: usda-ars-00020 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: USDA National Nutrient Database for Standard reference native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-ars-00020 url: http://www.ars.usda.gov/Services/docs.htm?docid=8964 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: '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 Commons in response to a national need for data representing US operations. The LCA 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 publicly disclosed comparative product or technology assertions.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usda-ars-00025.yaml identifier: usda-ars-00025 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: LCA Commons Database native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-ars-00025 url: https://www.lcacommons.gov/discovery/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'The PHZM is a web-based, GIS application whereby users can search and/or download plant hardiness zone information for specific zip codes, states, and regions of the country.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usda-ars-00053.yaml identifier: usda-ars-00053 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: ARS Plant Hardiness Zone Map (PHZM) native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-ars-00053 url: http://planthardiness.ars.usda.gov/PHZMWeb/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This data set is a complete digital hydrologic unit boundary layer to the Subwatershed (12-digit) 6th level for the entire United States. This data set consists of geo-referenced digital data and associated attributes created in accordance with the "Federal Guidelines, Requirements, and Procedures for the National Watershed Boundary Dataset; Chapter 3 of Section A, Federal Standards, Book 11, Collection and Delineation of Spatial Data; Techniques and Methods 11-A3" (04/01/2009). http://www.ncgc.nrcs.usda.gov/products/datasets/watershed/index.html . Polygons are attributed with hydrologic unit codes for 4th level sub-basins, 5th level watersheds, 6th level subwatersheds, name, size, downstream hydrologic unit, type of watershed, non-contributing areas and flow modification.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usda-enviroatlas-hu12-polygon.yaml identifier: usda-enviroatlas-hu12-polygon lat_max: 61.7110157 lat_min: 6.65223303 lon_max: -12.68151645 lon_min: -138.21454852 name: 'EnviroAtlas - HU12_polygon' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-enviroatlas-hu12-polygon url: http://datagateway.nrcs.usda.gov variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "A collection of over 75 charts and maps presenting key statistics on the farm sector, food spending and prices, food security, rural communities, the interaction of agriculture and natural resources, and more.\r \r How much do you know about food and agriculture? What about rural America or conservation? ERS has assembled more than 75 charts and maps covering key information about the farm and food sectors, including agricultural markets and trade, farm income, food prices and consumption, food security, rural economies, and the interaction of agriculture and natural resources.\r \r How much, for example, do agriculture and related industries contribute to U.S. gross domestic product? Which commodities are the leading agricultural exports? How much of the food dollar goes to farmers? How do job earnings in rural areas compare with metro areas? How much of the Nation’s water is used by agriculture? These are among the statistics covered in this collection of charts and maps—with accompanying text—divided into the nine section titles." description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usda-ers-00051.yaml identifier: usda-ers-00051 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'Ag and Food Statistics: Charting the Essentials' native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-ers-00051 url: http://www.ers.usda.gov/data-products/ag-and-food-statistics-charting-the-essentials/ag-and-food-sectors-and-the-economy.aspx variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This data set contains annual and monthly data for exchange rates important to U.S. agriculture. It includes both nominal and real exchange rates for 79 countries, plus the European Union (EU), as well as real trade-weighted exchange rate indexes for many commodities and aggregations.' description_attribution: http://www.ers.usda.gov/data-products/agricultural-exchange-rate-data-set/documentation.aspx doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usda-ers-00052.yaml identifier: usda-ers-00052 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Agricultural Exchange Rate Data Set native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-ers-00052 url: http://www.ers.usda.gov/data-products/agricultural-exchange-rate-data-set.aspx variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'ERS examines consumer food preferences by age, income, region, race, whether people eat at home or away, and other characteristics.' description_attribution: http://www.ers.usda.gov/data-products/commodity-consumption-by-population-characteristics/documentation.aspx doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usda-ers-00055.yaml identifier: usda-ers-00055 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Commodity Consumption by Population Characteristics native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-ers-00055 url: http://www.ers.usda.gov/data-products/commodity-consumption-by-population-characteristics.aspx variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'These data are from several USDA agencies. They were previously included in the Meat Statistics page in the Livestock, Dairy, and Poultry Outlook tables and may contain revisions not included in previous releases of the LDP tables.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usda-ers-00062.yaml identifier: usda-ers-00062 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Dairy Data native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-ers-00062 url: http://www.ers.usda.gov/data-products/dairy-data.aspx variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: This data product presents the latest household income forecast and estimates for U.S. family farms. description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usda-ers-00064.yaml identifier: usda-ers-00064 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Farm Household Income and Characteristics native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-ers-00064 url: http://www.ers.usda.gov/data-products/farm-household-income-and-characteristics.aspx variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "The ERS Food Expenditure Series annually measures total U.S. food expenditures, including purchases by consumers, governments, businesses, and nonprofit organizations. The ERS Food Expenditure Series contributes to the analysis of U.S. food production and consumption by constructing a comprehensive measure of the total value of all food expenditures by final purchasers. This series annually measures total U.S. food expenditures, including purchases by consumers, governments, businesses, and nonprofit organizations. Because the term expenditure is often associated with household decisionmaking, it is important to recognize that ERS's series also includes nonhousehold purchases. For example, the series includes the dollar value of domestic food purchases by military personnel and their dependents at military commissary stores and exchanges, the value of commodities and food dollars donated by the Federal government to schools, and the value of food purchased by airlines for serving during flights." description_attribution: http://www.ers.usda.gov/data-products/food-expenditures/documentation.aspx doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usda-ers-00069.yaml identifier: usda-ers-00069 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Food Expenditures native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-ers-00069 url: http://www.ers.usda.gov/data-products/food-expenditures.aspx variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'How much do fruits and vegetables cost? ERS estimated average prices for 153 commonly consumed fresh and processed fruits and vegetables.' description_attribution: http://www.ers.usda.gov/data-products/fruit-and-vegetable-prices/documentation.aspx doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usda-ers-00071.yaml identifier: usda-ers-00071 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Fruit and Vegetable Prices native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-ers-00071 url: http://www.ers.usda.gov/data-products/fruit-and-vegetable-prices.aspx variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This data product provides agricultural output, input and total factor productivity (TFP) growth rates, but not levels, across the countries and regions of the world in a consistent, comparable way, for 1961-2010.' description_attribution: http://www.ers.usda.gov/data-products/international-agricultural-productivity/documentation-and-methods.aspx doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usda-ers-00072.yaml identifier: usda-ers-00072 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: International Agricultural Productivity native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-ers-00072 url: http://www.ers.usda.gov/dataFiles/Internationalproductivity/AgTFPindividualcountries.xlsx variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Total and marginal budget shares and income and price elasticities are estimated, using 2005 ICP data, for nine broad consumption groups and eight food subgroups across 144 countries.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usda-ers-00073.yaml identifier: usda-ers-00073 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: International Food Consumption Patterns native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-ers-00073 url: http://www.ers.usda.gov/data-products/international-food-consumption-patterns.aspx variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This dataset is the basis for the International Food Security Assessment, 2013-2023 released in June 2013. This annual ERS report projects food availability and access for 76 low- and middle-income countries over a 10-year period. The dataset includes annual country-level data on area, yield, production, nonfood use, trade, and consumption for grains and root and tuber crops (combined as R&T in the documentation tables), food aid, total value of imports and exports, gross domestic product, and population compiled from a variety of sources.' description_attribution: http://www.ers.usda.gov/data-products/international-food-security/documentation.aspx doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usda-ers-00074.yaml identifier: usda-ers-00074 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: International Food Security native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-ers-00074 url: http://www.ers.usda.gov/datafiles/International_Food_Security/AllCountries/gfa25.csv variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'The Livestock And Meat Domestic Data contains current and historical data on pork, beef, veal, and poultry, including production, supply, utilization, and farm prices.' description_attribution: ~ doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usda-ers-00075.yaml identifier: usda-ers-00075 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Livestock And Meat Domestic Data native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-ers-00075 url: http://www.ers.usda.gov/data-products/livestock-meat-domestic-data.aspx variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "ERS has been a source of major land use estimates in the United States for over 50 years, and the related U.S. cropland used for crops series dates back to 1910. The Major Land Uses (MLU) series is the longest running, most comprehensive accounting of all major uses of public and private land in the United States. The series was started in 1945, and has since been published about every 5 years, coinciding with the Census of Agriculture. See the latest report in the series, Major Uses of Land in the United States, 2007.\r \r Data from all 14 Major Land Uses reports have been combined into a set of files showing major land use estimates by region and State from 1945 to 2007. Alaska and Hawaii were added in 1959, when they achieved Statehood. Since Alaska contains such vast acreage, 50-State totals in all categories prior to 1959 may appear to change precipitously." description_attribution: http://www.ers.usda.gov/data-products/major-land-uses/glossary.aspx doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usda-ers-00076.yaml identifier: usda-ers-00076 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Major Land Uses native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-ers-00076 url: http://www.ers.usda.gov/data-products/major-land-uses.aspx variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "This data product identifies which countries, under APHIS phytosanitary rules, are eligible to export to the United States the fresh fruits and vegetables that are most important in the American diet.\r \r Increased trade in fresh fruits and vegetables provides U.S. consumers with a variety of benefits including the possibility of improved nutrition by making these products available year-round. Imports of these products are regulated by USDA's Animal and Plant Health and Inspection Service (APHIS) to reduce the risk of inadvertent entry of pests and diseases that could harm agriculture, public health, navigation, irrigation, natural resources, or the environment.\r \r This data product identifies which countries, under APHIS phytosanitary rules, are eligible to export to the United States the fresh fruits and vegetables that are most important in the American diet. Current data represent country eligibility as of June 2012. Previous data represent eligibility in June of 2008 through 2011 and in February of 2007. Data on the absolute and relative importance of these countries in international production and trade, individually and in aggregate, are also included. This data product supports the objectives of the Program for Research on the Economics of Invasive Species (PREISM) under which ERS funded research to improve the economic basis of decisionmaking concerning invasive species issues, policies, and programs between 2003 and 2008." description_attribution: http://www.ers.usda.gov/data-products/phytosanitary-regulation/documentation.aspx doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usda-ers-00082.yaml identifier: usda-ers-00082 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Phytosanitary Regulation native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-ers-00082 url: http://www.ers.usda.gov/data-products/phytosanitary-regulation.aspx variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "U.S. consumers demand variety, quality, and convenience in the foods they consume. As Americans have become wealthier and more ethnically diverse, the American food basket reflects a growing share of tropical products, spices, and imported gourmet products. Seasonal and climatic factors drive U.S. imports of popular types of fruits and vegetables and tropical products, such as cocoa and coffee. In addition, a growing share of U.S. imports can be attributed to intra-industry trade, whereby agricultural-processing industries based in the United States carry out certain processing steps offshore and import products at different levels of processing from their subsidiaries in foreign markets.\r \r This data set provides import values of edible products (food and beverages) entering U.S. ports and their origin of shipment. Data are from the U.S. Department of Commerce, U.S. Census Bureau. Food and beverage import values are compiled by calendar year into food groups corresponding to major commodities or level of processing. At least 10 years of annual data are included, enabling users to track long-term growth patterns." description_attribution: http://www.ers.usda.gov/data-products/us-food-imports/documentation.aspx doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usda-ers-00093.yaml identifier: usda-ers-00093 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: U.S. Food Imports native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-ers-00093 url: http://www.ers.usda.gov/data-products/us-food-imports.aspx variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "This data product summarizes the farm-structural characteristics for irrigated farms in the 17 Western States based on USDA's 2008 and 1998 Farm and Ranch Irrigation Surveys (FRIS) (see the Documentation for data sources and methods). The tables are grouped into 16 sections, ranging from total irrigation values (for all irrigated farms), to higher efficiency irrigation, to irrigated farms receiving financial/technical assistance designed to encourage onfarm water and energy conservation. All tables identify specific irrigation characteristics for four farm size classes, by State. For more details, see the Summary of Results." description_attribution: http://www.ers.usda.gov/data-products/western-irrigated-agriculture/documentation.aspx doi: ~ end_time: ~ href: http://52.38.26.42:8080/dataset/usda-ers-00094.yaml identifier: usda-ers-00094 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Western Irrigated Agriculture native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/usda-ers-00094 url: http://www.ers.usda.gov/data-products/western-irrigated-agriculture.aspx variables: ~ version: ~ vertical_extent: ~