[Note: Integrated as part of FoodData Central, April 2019.] The database consists of several sets of data: food descriptions, nutrients, weights and measures, footnotes, and sources of data. The Nutrient Data file contains mean nutrient values per 100 g of the edible portion of food, along with fields to further describe the mean value. Information is provided on household measures for food items. Weights are given for edible material without refuse. Footnotes are provided for a few items where information about food description, weights and measures, or nutrient values could not be accommodated in existing fields. Data have been compiled from published and unpublished sources. Published data sources include the scientific literature. Unpublished data include those obtained from the food industry, other government agencies, and research conducted under contracts initiated by USDA’s Agricultural Research Service (ARS). Updated data have been published electronically on the USDA Nutrient Data Laboratory (NDL) web site since 1992. Standard Reference (SR) 28 includes composition data for all the food groups and nutrients published in the 21 volumes of "Agriculture Handbook 8" (US Department of Agriculture 1976-92), and its four supplements (US Department of Agriculture 1990-93), which superseded the 1963 edition (Watt and Merrill, 1963). SR28 supersedes all previous releases, including the printed versions, in the event of any differences. Attribution for photos: Photo 1: k7246-9 Copyright free, public domain photo by Scott Bauer Photo 2: k8234-2 Copyright free, public domain photo by Scott Bauer Resources in this dataset:Resource Title: READ ME - Documentation and User Guide - Composition of Foods Raw, Processed, Prepared - USDA National Nutrient Database for Standard Reference, Release 28. File Name: sr28_doc.pdfResource Software Recommended: Adobe Acrobat Reader,url: http://www.adobe.com/prodindex/acrobat/readstep.html Resource Title: ASCII (6.0Mb; ISO/IEC 8859-1). File Name: sr28asc.zipResource Description: Delimited file suitable for importing into many programs. The tables are organized in a relational format, and can be used with a relational database management system (RDBMS), which will allow you to form your own queries and generate custom reports.Resource Title: ACCESS (25.2Mb). File Name: sr28db.zipResource Description: This file contains the SR28 data imported into a Microsoft Access (2007 or later) database. It includes relationships between files and a few sample queries and reports.Resource Title: ASCII (Abbreviated; 1.1Mb; ISO/IEC 8859-1). File Name: sr28abbr.zipResource Description: Delimited file suitable for importing into many programs. This file contains data for all food items in SR28, but not all nutrient values--starch, fluoride, betaine, vitamin D2 and D3, added vitamin E, added vitamin B12, alcohol, caffeine, theobromine, phytosterols, individual amino acids, individual fatty acids, or individual sugars are not included. These data are presented per 100 grams, edible portion. Up to two household measures are also provided, allowing the user to calculate the values per household measure, if desired.Resource Title: Excel (Abbreviated; 2.9Mb). File Name: sr28abxl.zipResource Description: For use with Microsoft Excel (2007 or later), but can also be used by many other spreadsheet programs. This file contains data for all food items in SR28, but not all nutrient values--starch, fluoride, betaine, vitamin D2 and D3, added vitamin E, added vitamin B12, alcohol, caffeine, theobromine, phytosterols, individual amino acids, individual fatty acids, or individual sugars are not included. These data are presented per 100 grams, edible portion. Up to two household measures are also provided, allowing the user to calculate the values per household measure, if desired.Resource Software Recommended: Microsoft Excel,url: https://www.microsoft.com/ Resource Title: ASCII (Update Files; 1.1Mb; ISO/IEC 8859-1). File Name: sr28upd.zipResource Description: Update Files - Contains updates for those users who have loaded Release 27 into their own programs and wish to do their own updates. These files contain the updates between SR27 and SR28. Delimited file suitable for import into many programs.

The United States Department of Agriculture (USDA) Nutrient Data Laboratory (NDL), in collaboration with the National Cattlemen's Beef Association, National Pork Board, American Lamb Board, and meat scientists at selected universities, has conducted several research studies designed to update and expand nutrient data on retail meat cuts in the USDA National Nutrient Database for Standard Reference (SR). These studies have provided current and accurate estimates of data to update SR, and the study results have been incorporated into data sets that can be used for nutrient labeling. NDL has developed these data sets, presented in an easy-to-use table format. Each data set provides retailers with easier access to the most accurate nutrient data for the purpose of on-pack nutrition labeling and for nutrition claims. These data sets focus on the cuts identified by USDA Food Safety and Inspection Service (FSIS) proposed labeling regulations for fresh, single-ingredient meats. The FSIS, an agency of the USDA, is the public health agency responsible for ensuring that the nation's commercial supply of meat, poultry and egg products is safe, wholesome, and correctly labeled and packaged. Resources in this dataset:Resource Title: The USDA Nutrient Data Set for Retail Beef Cuts, Release 3.0. File Name: Retail_Beef_Cuts03.pdfResource Description: Each data set provides retailers with easier access to the most accurate nutrient data for the purpose of on-pack nutrition labeling and for nutrition claims. These data sets focus on the cuts identified by USDA Food Safety and Inspection Service (FSIS) proposed labeling regulations for fresh, single-ingredient meats. The online version of this document can be found at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Retail_Beef_Cuts03.pdfResource Title: The USDA Nutrient Data Set for Retail Beef Cuts, Release 3.0 (MS Excel download). File Name: Beef_Labelling_Table03.xlsxResource Description: The tables in "The USDA Nutrient Data Set for Retail Beef Cuts" imported into a Microsoft Excel spreadsheet. The online version of this spreadsheet can be found at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Beef_Labelling_Table03.xlsxResource Title: USDA Nutrient Data Set for Retail Pork Cuts, Release 2. File Name: Pork09.pdfResource Description: Each data set provides retailers with easier access to the most accurate nutrient data for the purpose of on-pack nutrition labeling and for nutrition claims. These data sets focus on the cuts identified by USDA Food Safety and Inspection Service (FSIS) proposed labeling regulations for fresh, single-ingredient meats. Find the online version of this document at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Pork09.pdfResource Title: USDA Nutrient Data Set for Retail Pork Cuts, Release 2 (MS Excel download). File Name: Pork09_Tbl.xlsResource Description: The tables in "The Revised USDA Nutrient Data Set for Fresh Pork" imported into a Microsoft Excel spreadsheet. Find the online version of this spreadsheet at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Pork09_Tbl.xlsResource Title: Raw Ground Pork (MS Excel download). File Name: EstNutrRawGrndPork4_28.xlsResource Description: These tables provide nutrient profiles for raw ground pork from 4-28% fat, in increments of 1% fat, as determined by regression equations. Find the online version of this spreadsheet at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/EstNutrRawGrndPork4_28.xlsResource Title: USDA Nutrient Data Set for Retail Veal Cuts. File Name: Retail_Veal_Cuts.pdfResource Description: Each data set provides retailers with easier access to the most accurate nutrient data for the purpose of on-pack nutrition labeling and for nutrition claims. These data sets focus on the cuts identified by USDA Food Safety and Inspection Service (FSIS) proposed labeling regulations for fresh, single-ingredient meats. Find the online version of this document at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Retail_Veal_Cuts.pdfResource Title: Veal Labeling Table (MS Excel download). File Name: Veal_Labeling_Table.xlsxResource Description: The tables in "The USDA Nutrient Data Set for Retail Veal Cuts" imported into a Microsoft Excel spreadsheet. Find the online version of this spreadsheet at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Veal_Labeling_Table.xlsxResource Title: USDA Nutrient Data Set for Retail Lamb Cuts. File Name: Lamb_Labeling_Doc.pdfResource Description: Each data set provides retailers with easier access to the most accurate nutrient data for the purpose of on-pack nutrition labeling and for nutrition claims. These data sets focus on the cuts identified by USDA Food Safety and Inspection Service (FSIS) proposed labeling regulations for fresh, single-ingredient meats. Find the online version of this document at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Lamb_Labeling_Doc.pdfResource Title: Lamb Labeling Table (MS Excel download). File Name: Lamb_Labeling_Table.xlsxResource Description: The tables in "The USDA Nutrient Data Set for Retail Lamb Cuts" imported into a Microsoft Excel spreadsheet. Find the online version of this spreadsheet at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Lamb_Labeling_Table.xlsx

The Agricultural Research Service of the US Department of Agriculture (USDA) in collaboration with other government agencies has a program to track changes in the sodium content of commercially processed and restaurant foods. This monitoring program includes these activities: Tracking sodium levels of ~125 popular foods, called "Sentinel Foods," by periodically sampling them at stores and restaurants around the country, followed by laboratory analyses. Tracking levels of "related" nutrients that could change when manufacturers reformulate their foods to reduce sodium; these related nutrients are potassium, total and saturated fat, total dietary fiber, and total sugar. Sharing the results of these monitoring activities to the public periodically in the Sodium Monitoring Dataset and USDA National Nutrient Database for Standard Reference and once every two years in the Food and Nutrient Database for Dietary Studies. The Sodium Monitoring Dataset is downloadable in Excel spreadsheet format. Resources in this dataset:Resource Title: Data Dictionary. File Name: SodiumMonitoringDataset_datadictionary.csvResource Description: Defines variables, descriptions, data types, character length, etc. for each of the spreadsheets in this Excel data file: Sentinel Foods - Baseline; Priority-2 Foods - Baseline; Sentinel Foods - Monitoring; Priority-2 Foods - Monitoring.Resource Title: Sodium Monitoring Dataset (MS Excel download). File Name: SodiumMonitoringDatasetUpdatedJuly2616.xlsxResource Description: Microsoft Excel : Sentinel Foods - Baseline; Priority-2 Foods - Baseline; Sentinel Foods - Monitoring; Priority Foods - Monitoring.

Assessment of fluoride intake is paramount in understanding the mechanisms of fluoride metabolism, specifically the prevention of dental caries, dental fluorosis, and skeletal fluorosis. A database for fluoride is needed for epidemiologists and health researchers to estimate the intakes, and to investigate the relationships between intakes and human health. Resources in this dataset:Resource Title: READ ME - USDA National Fluoride Database of Selected Beverages and Foods, Release 2. File Name: F02.pdfResource Description: Describes methods and procedures, data generation and evaluation, formats of tables, data dissemination, references cited in the documentation and database, and other miscellaneous information about this database. Resource Title: Fluoride Database of Selected Beverages and Foods (Release 2). File Name: F02.xlsResource Description: This file contains the Fluoride Database imported into a Microsoft Excel spreadsheet. You need Excel 2000 or later to use this file.

Describes methods and procedures, data generation and evaluation, formats of tables, data dissemination, references cited in the documentation and database, and other miscellaneous information about this database. Resource Title: Fluoride Database of Selected Beverages and Foods (Release 2). File Name: F02.xlsResource Description: This file contains the Fluoride Database imported into a Microsoft Excel spreadsheet. You need Excel 2000 or later to use this file.

The Delta Food Outlets Study was an observational study designed to assess the nutritional environments of 5 towns located in the Lower Mississippi Delta region of Mississippi. It was an ancillary study to the Delta Healthy Sprouts Project and therefore included towns in which Delta Healthy Sprouts participants resided and that contained at least one convenience (corner) store, grocery store, or gas station. Data were collected via electronic surveys between March 2016 and September 2018 using the Nutrition Environment Measures Survey (NEMS) tools. Survey scores for the NEMS Corner Store, NEMS Grocery Store, and NEMS Restaurant were computed using modified scoring algorithms provided for these tools via SAS software programming. Because the towns were not randomly selected and the sample sizes are relatively small, the data may not be generalizable to all rural towns in the Lower Mississippi Delta region of Mississippi. Dataset one (NEMS-C) contains data collected with the NEMS Corner (convenience) Store tool. Dataset two (NEMS-G) contains data collected with the NEMS Grocery Store tool. Dataset three (NEMS-R) contains data collected with the NEMS Restaurant tool. Resources in this dataset:Resource Title: Delta Food Outlets Data Dictionary. File Name: DFO_DataDictionary_Public.csvResource Description: This file contains the data dictionary for all 3 datasets that are part of the Delta Food Outlets Study.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Dataset One NEMS-C. File Name: NEMS-C Data.csvResource Description: This file contains data collected with the Nutrition Environment Measures Survey (NEMS) tool for convenience stores.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Dataset Two NEMS-G. File Name: NEMS-G Data.csvResource Description: This file contains data collected with the Nutrition Environment Measures Survey (NEMS) tool for grocery stores.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel Resource Title: Dataset Three NEMS-R. File Name: NEMS-R Data.csvResource Description: This file contains data collected with the Nutrition Environment Measures Survey (NEMS) tool for restaurants.Resource Software Recommended: Microsoft Excel,url: https://products.office.com/en-us/excel

a Food Standards Australia and New Zealand,b United States Department of Agriculture,c Food Standards Agency,d Separate databases for flavonoids, carotenoids, proanthocyanidins and isoflavones,e Eurofir EBASIS contains bioactive data for UK and Europe,f National Health Survey,ghttps://www.xyris.com.au/foodworks/fw_pro.html,hhttp://www.nutribase.com/highend.html,ihttp://www.foodresearch.ca/wp-content/uploads/2013/06/candat-features-1.pdf,j Tinuviel Software,i Downlees Systems,k Forestfield Software,l Kelicomp,mhttp://www.tinuvielsoftware.com/faqs.htm,nhttp://www.dietsoftware.com/canada.html,o Text file: a file that only contains text,p A file containing tables of information stored in columns and separated by tabs (can be exported into almost any spreadsheet program),q Microsoft Excel spreadsheet,r Microsoft Access Database file: is a database file with automated functions and queries,s American Standard Code for Information Interchange (a standard file type that can be used by many programs),t Database File Format (this file type can be opened with Microsoft Excel and Access),u information to create Excel or PDF available,v Composition of Foods, Australia,w International Network of Food Data System,x Users guide states food name is most descriptive & recognisable of food referencedyhttp://www.foodstandards.gov.au/science/monitoringnutrients/nutrientables/nuttab/Pages/NUTTAB-2010-electronic-database-files.aspx,zhttp://www.foodstandards.gov.au/science/monitoringnutrients/ausnut/ausnutdatafiles/Pages/default.aspx,aahttp://ndb.nal.usda.gov/ndb/search/list,bbhttp://tna.europarchive.org/20110116113217/http://www.food.gov.uk/science/dietarysurveys/dietsurveys/,cchttp://webprod3.hc-sc.gc.ca/cnf-fce/index-eng.jspDesktop analysis and examination of six key food composition databases format.

Commodity Supplemental Food Program Data FY 2015-2019

  Data from the USDA about the Commodity Supplemental Food Program. Data is broken out by state and contains the total participant counts from FY 2015 through FY 2019. About USDA Food Security and Allocations Data: Links to several different USDA food security and allocations datasets, including a Census-level Food Access Research Atlas, county-level SNAP participation data through FY2020, and state-level total participant counts from FY2015 through FY2019 for the Commodity Supplemental Food Program, Emergency Food Assistance Program, and Food Distribution Program.
  Geography Level: StateItem Vintage: 2015-2019
  Update Frequency: Updated through 2019Agency: USDAAvailable File Type: Excel 

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Low and Very Low Food Security Data 2016-2018

  State-level low and very low food security percentages and totals, average over 2016-2018. About USDA Food Security and Allocations Data: Links to several different USDA food security and allocations datasets, including a Census-level Food Access Research Atlas, county-level SNAP participation data through FY2020, and state-level total participant counts from FY2015 through FY2019 for the Commodity Supplemental Food Program, Emergency Food Assistance Program, and Food Distribution Program.
  Geography Level: StateItem Vintage: 2016-2018
  Update Frequency: YearlyAgency: USDAAvailable File Type: Excel 

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The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updatesTitle: SNAP Grocers March 2022 - Microsoft Excel VersionItem Type: Microsoft ExcelSummary: SNAP Grocers Retail Locations according to the USDA as of March 2022Notes: Excel version of this feature service: https://nmcdc.maps.arcgis.com/home/item.html?id=79018ad311f94af98e1523c47256599ePrepared by: Uploaded by EMcRae_NMCDCSource: USDAFeature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=018afa2174524fc78639c108f89107bdUID: 85Data Requested: SNAPMethod of Acquisition: USDA downloadDate Acquired: April 2022Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 3Tags: PENDING_ Title SNAP Grocers in New Mexico as of March 17, 2022 - SNAP_Grocers_March_2022

Summary SNAP Grocer Retail Locations According to the USDA as of March 2022

Notes

Download Data April 4 2022

Date represents March 17 2022

Source US Department of Agriculture, Food and Nutrition Services - https://www.fns.usda.gov/snap/retailer-locator

Feature Service https://nmcdc.maps.arcgis.com/home/item.html?id=79018ad311f94af98e1523c47256599e#overview

Prepared by EMcRae_NMCDC

Alias Definition

X Long

Y Lat

ObjectId Object ID

Name Store Name

Address Address

Address_Line_2 Address 2

City City

State State

Zip5 Five Digit Zip Code

Zip4 Four Digit Zip Code

County County

Longitude Longitude

Latitude Latitude

[ Note: This dataset supersedes Version 1, https://doi.org/10.15482/USDA.ADC/1520662 ] In February 2020, USDA launched the Agriculture Innovation Agenda (AIA), representing a Department-wide effort to align USDA's resources, programs, and research to provide farmers with the tools they need to position American agriculture as a global leader meeting future food, fiber, fuel, and feed demands. As part of the AIA, USDA set ambitious goals to increase agricultural production by 40 percent, while cutting the environmental footprint of U.S. agriculture in half by 2050. The Agriculture Innovation Agenda (AIA) is USDA's commitment to the continued success of American farmers, ranchers, producers, and foresters in the face of future challenges. The AIA is comprised of four main parts. The first is focused on developing a U.S. Agriculture Innovation Strategy that aligns public- and private-sector research. The second integrates innovative technologies and practices into USDA programs to help fast track producer adoption. The metrics component aims to review USDA productivity and conservation data. Finally, the USDA scorecard has benchmarks to improve accountability. As part of the research component, in 2020, USDA collected unstructured text feedback through a Request for Information (RFI) on the most important innovation opportunities for the next era of agriculture to be addressed in the near and long term. RFI responses were qualitatively analyzed to identify emergent themes and common aspirational goal statements that stakeholders shared across multiple RFI responses. USDA collected 223 responses through the RFI. Responses were grouped into several focus areas including commodity crops, specialty crops, livestock, aquaculture, forestry, and farming, general. This dataset supports a dashboard that represents the synthesized data collected through the RFI and stakeholder engagements. Resources in this dataset:Resource Title: Discovery Goals spreadsheet with text tables for use with AIS dashboard, Version 2. File Name: Discovery goal tables_FinalApproved_12.28.20_v2.xlsxResource Description: Text summaries are organized into tabs that support filters by theme (e.g. crop production, forestry, beef and range, dairy, and data) and within theme into Innovation clusters (genome design, digital/automation, prescriptive intervention, systems based farm management) and innovation horizon (Incremental solutions to accelerate, transformative solutions to create, Next era concepts, and gaps & barriers (including policies or supporting technologies needed)). For each combination of innovation cluster and innovation horizon for a theme there is a text summary of the stakeholder feedback, drawn from raw responses. Only minor punctuation and grammatical changes from Version 1.Resource Software Recommended: Microsoft Excel,url: https://www.microsoft.com/en-us/microsoft-365/excel

The Delta Produce Sources Study was an observational study designed to measure and compare food environments of farmers markets (n=3) and grocery stores (n=12) in 5 rural towns located in the Lower Mississippi Delta region of Mississippi. Data were collected via electronic surveys from June 2019 to March 2020 using a modified version of the Nutrition Environment Measures Survey (NEMS) Farmers Market Audit tool. The tool was modified to collect information pertaining to source of fresh produce and also for use with both farmers markets and grocery stores. Availability, source, quality, and price information were collected and compared between farmers markets and grocery stores for 13 fresh fruits and 32 fresh vegetables via SAS software programming. Because the towns were not randomly selected and the sample sizes are relatively small, the data may not be generalizable to all rural towns in the Lower Mississippi Delta region of Mississippi. Resources in this dataset:Resource Title: Delta Produce Sources Study dataset . File Name: DPS Data Public.csvResource Description: The dataset contains variables corresponding to availability, source (country, state and town if country is the United States), quality, and price (by weight or volume) of 13 fresh fruits and 32 fresh vegetables sold in farmers markets and grocery stores located in 5 Lower Mississippi Delta towns.Resource Software Recommended: Microsoft Excel,url: https://www.microsoft.com/en-us/microsoft-365/excel Resource Title: Delta Produce Sources Study data dictionary. File Name: DPS Data Dictionary Public.csvResource Description: This file is the data dictionary corresponding to the Delta Produce Sources Study dataset.Resource Software Recommended: Microsoft Excel,url: https://www.microsoft.com/en-us/microsoft-365/excel

The United States Department of Agriculture publishes the Food Environment Atlas so researchers can study the interaction of access to healthy food options, demographic factors and economic indicators to inform policymakers.

Per the United States Department of Agriculture website, "The current version of the Food Environment Atlas has over 275 variables, including new indicators on access and proximity to a grocery store for sub populations; an indicator on the SNAP Combined Application Project for recipients of Supplemental Security Income (at the State level); and indicators on farmers' markets that report accepting credit cards or report selling baked and prepared food products. All of the data included in the Atlas are aggregated into an Excel spreadsheet for easy download. These data are from a variety of sources and cover varying years and geographic levels. The documentation for each version of the data provides complete information on definitions and data sources."

Some questions you might be able to answer include:

• What factors are correlated with food deserts?
• What kind of relationship exists between the price of food and the health of the population?
• Which communities are high risk for children in terms of access to healthy food?

Photo by NeONBRAND on Unsplash

The ERS Food Availability (Per Capita) Data System (FADS) includes three distinct but related data series on food and nutrient availability for consumption. The data serve as popular proxies for actual consumption at the national level. Food availability data are now updated through 2011, the most recent year available; these data are the foundation for the other two series. Loss-adjusted food availability data are also available through 2011 for most products but are preliminary estimates. Nutrient availability data are provided through 2006, as this data series has not yet been updated beyond 2006.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Web page with links to Excel files For complete information, please visit https://data.gov.

SNAP Participation Data FY1989-2020

  SNAP participation data - FY 1989 through January 2020 by County About USDA Food Security and Allocations Data: Links to several different USDA food security and allocations datasets, including a Census-level Food Access Research Atlas, county-level SNAP participation data through FY2020, and state-level total participant counts from FY2015 through FY2019 for the Commodity Supplemental Food Program, Emergency Food Assistance Program, and Food Distribution Program.
  Geography Level: State, CountyItem Vintage: 1989-2020
  Update Frequency: N/AAgency: USDAAvailable File Type: Excel 

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This dataset measures food availability and access for 76 low- and middle-income countries. 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. This dataset is the basis for the International Food Security Assessment 2015-2025 released in June 2015. This annual ERS report projects food availability and access for 76 low- and middle-income countries over a 10-year period. Countries (Spatial Description, continued): Democratic Republic of the Congo, Ecuador, Egypt, El Salvador, Eritrea, Ethiopia, Gambia, Georgia, Ghana, Guatemala, Guinea, Guinea-Bissau, Haiti, Honduras, India, Indonesia, Jamaica, Kenya, Kyrgyzstan, Laos, Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania, Moldova, Mongolia, Morocco, Mozambique, Namibia, Nepal, Nicaragua, Niger, Nigeria, North Korea, Pakistan, Peru, Philippines, Rwanda, Senegal, Sierra Leone, Somalia, Sri Lanka, Sudan, Swaziland, Tajikistan, Tanzania, Togo, Tunisia, Turkmenistan, Uganda, Uzbekistan, Vietnam, Yemen, Zambia, and Zimbabwe. Resources in this dataset:Resource Title: CSV File for all years and all countries. File Name: gfa25.csvResource Title: International Food Security country data. File Name: GrainDemandProduction.xlsxResource Description: Excel files of individual country data. Please note that these files provide the data in a different layout from the CSV file. This version of the data files was updated 9-2-2021

More up-to-date files may be found at: https://www.ers.usda.gov/data-products/international-food-security.aspx

ComBase includes a systematically formatted database of quantified microbial responses to the food environment with more than 65,000 records, and is used for: Informing the design of food safety risk management plans Producing Food Safety Plans and HACCP plans Reducing food waste Assessing microbiological risk in foods The ComBase Browser enables you to search thousands of microbial growth and survival curves that have been collated in research establishments and from publications. The ComBase Predictive Models are a collection of software tools based on ComBase data to predict the growth or inactivation of microorganisms as a function of environmental factors such as temperature, pH and water activity in broth. Interested users can also contribute growth or inactivation data via the Donate Data page, which includes instructional videos, data template and sample, and an Excel demo file of data and macros for checking data format and syntax. Resources in this dataset:Resource Title: Website Pointer to ComBase. File Name: Web Page, url: https://www.combase.cc/index.php/en/ ComBase is an online tool for quantitative food microbiology. Its main features are the ComBase database and ComBase models, and can be accessed on any web platform, including mobile devices. The focus of ComBase is describing and predicting how microorganisms survive and grow under a variety of primarily food-related conditions. ComBase is a highly useful tool for food companies to understand safer ways of producing and storing foods. This includes developing new food products and reformulating foods, designing challenge test protocols, producing Food Safety plans, and helping public health organizations develop science-based food policies through quantitative risk assessment. Over 60,000 records have been deposited into ComBase, describing how food environments, such as temperature, pH, and water activity, as well as other factors (e.g. preservatives and atmosphere) affect the growth of bacteria. Each data record shows users how bacteria populations change for a particular combination of environmental factors. Mathematical models (the ComBase Predictor and Food models) were developed on systematically generated data to predict how various organisms grow or survive under various conditions.

Food Distribution Program on Indian Reservations Data FY 2015-2019

  Data from the USDA about the Food Distribution Program on Indian Reservations. Data is broken out by state and contains the total participant counts from FY 2015 through FY 2019. About USDA Food Security and Allocations Data: Links to several different USDA food security and allocations datasets, including a Census-level Food Access Research Atlas, county-level SNAP participation data through FY2020, and state-level total participant counts from FY2015 through FY2019 for the Commodity Supplemental Food Program, Emergency Food Assistance Program, and Food Distribution Program.
  Geography Level: StateItem Vintage: 2015-2019
  Update Frequency: Updated through 2021Agency: USDAAvailable File Type: Excel 

  Return to Other Federal Agency Datasets Page

This dataset contains raw data (Excel spreadsheet, .xlsx), R statistical code (RMarkdown notebook, .Rmd), and rendered output of the R notebook (HTML). This comprises all raw data and code needed to reproduce the analyses in the manuscript:Pokoo-Aikins, A., C. M. McDonough, T. R. Mitchell, J. A. Hawkins, L. F. Adams, Q. D. Read, X. Li, R. Shanmugasundaram, E. Rodewald, P. Acharya, A. E. Glenn, and S. E. Gold. 2024. Mycotoxin contamination and the nutritional content of corn targeted for animal feed. Poultry Science, 104303. DOI: 10.1016/j.psj.2024.104303.The data consist of the mycotoxin concentration, nutrient content, and color of different samples of corn (maize). We model the effect of mycotoxin concentration on the concentration of several different nutrients in corn. We include main effects of the different mycotoxins as well as two-way interactions between each pair of mycotoxins. We also include analysis of mycotoxin effects on the L variable from the color analysis, because it seems to be the one most important for determining the overall color of the corn. We use AIC to compare the models with and without interaction terms. We find that the models without interaction terms are better so we omit the interactions. We present adjusted R-squared values for each model as well as the p-values associated with the average slopes (effect of each mycotoxin on each nutrient). Finally, we produce the figures that appear in the above cited manuscript.Column metadata can be found in the Excel spreadsheet.Included filesCombined LCMS NIR Color data.xlsx: Excel file with all raw data (sheet 1) and column metadata (sheet 2).corn_mycotoxin_analysis_archived.Rmd: RMarkdown notebook with all analysis codecorn_mycotoxin_analysis_archived.html: rendered output of R notebook

This dataset shows the expenditure on food and drink by country. Information is given on expenditure as a percentage of total income and in dollars. what you can see from the data is areas where upto 50% of total household expenditure is devoted to food. These areas tend to be poorer developing nations in Africa. The developed countries spend less, as a percentage, on food, but obviously much more in terms of actual dollars. The data was sourced from the USDA Economic Research Service (http://www.ers.usda.gov/) and there is an interesting article here (http://www.vox.com/2014/7/6/5874499/map-heres-how-much-every-country-spends-on-food). The data was a flat excel document and has been linked to geographical boundaries in ArcGIS in order to display the data as map. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2014-07-08 and migrated to Edinburgh DataShare on 2017-02-22.