The Nutrient Data Laboratory is responsible for developing authoritative nutrient databases that contain a wide range of food composition values of the nation's food supply. This requires updating and revising the USDA Nutrient Database for Standard Reference (SR) and developing various special interest databases. However, with over 7,000 food items in SR and a complete nutrient profile costing approximately $2,000 for one sample, analyzing every food item for every nutrient and meeting all user requirements is impossible. Consequently, priorities must be determined. Procedures using food consumption data and nutrient values for developing the Key Foods list are explained. Key Foods have been identified as those food items that contribute up to 75% of any one nutrient to the dietary intake of the US population. These Key Foods will be used to set priorities for nutrient analyses under the National Food and Nutrient Analysis Program. The tables describe key foods based on Continuing Survey Of Food Intakes By Individuals (CSFII, 1989-) and WWEIA-NHANES (What We Eat In America - National Health and Nutrition Examination Survey 2001-) survey data. Resources in this dataset: Resource Title: List of Key Foods based on CSFII 1989-91. File Name: KeyFoods_key_ls91.txtResource Description: Key Foods based on CSFII 1989-91 https://www.ars.usda.gov/ARSUserFiles/80400525/Data/KeyFoods/key_ls91.txt Resource Title: List of Key Foods based on CSFII 1994-96 . File Name: KeyFoods_key_ls9496.txtResource Description: List of Key Foods based on CSFII 1994-96 https://www.ars.usda.gov/ARSUserFiles/80400525/Data/KeyFoods/key_ls9496.txt Resource Title: List of Key Foods based on WWEIA-NHANES 2001-02. File Name: KeyFoods_key_ls0102.txtResource Description: List of Key Foods based on WWEIA-NHANES 2001-02 https://www.ars.usda.gov/ARSUserFiles/80400525/Data/KeyFoods/key_ls0102.txt Resource Title: List of Key Foods based on WWEIA-NHANES 2003-04 . File Name: KeyFoods_key_ls0304.txtResource Description: https://www.ars.usda.gov/ARSUserFiles/80400525/Data/KeyFoods/key_ls0304.txt Resource Title: List of Key Foods based on WWEIA-NHANES 2007-08. File Name: Keyfoods_0708.xlsxResource Description: List of Key Foods based on WWEIA-NHANES 2007-08 https://www.ars.usda.gov/ARSUserFiles/80400525/Data/KeyFoods/Keyfoods_0708.xlsx Resource Title: List of Key Foods based on WWEIA-NHANES 2009-10. File Name: Keyfoods_0910.xlsxResource Description: List of Key Foods based on WWEIA-NHANES 2009-10 https://www.ars.usda.gov/ARSUserFiles/80400525/Data/KeyFoods/Keyfoods_0910.xlsx Resource Title: List of Key Foodsbased on WWEIA-NHANES 2011-12. File Name: Keyfoods_1112.xlsxResource Description: List of Key Foodsbased on WWEIA-NHANES 2011-12 https://www.ars.usda.gov/ARSUserFiles/80400525/Data/KeyFoods/Keyfoods_1112.xlsx

Content

Food Composition Databases (FCDB), also referred to as Food Composition Tables (FCT), are data that provide the nutritional content of foods. FCDBs are a required input in order to convert foods from food consumption data to nutrient intakes. FCDBs have multiple uses, including for nutrient analysis of foods from dietary consumption surveys, nutrition labeling, and to inform nutrition-sensitive agricultural policies. Exploring this dataset can yield detailed sets of information on the nutritionally important components of foods.

Acknowledgements

The dataset was obtained from the publicly available information, I do not own any information.

The USDA Branded Food Database was integrated as part of FoodData Central on April 2019. For more information on FoodData Central and the USDA Branded Food Database: Website: https://fdc.nal.usda.gov/ Ag Data Commons link: https://data.nal.usda.gov/dataset/fooddata-central

[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.

OpenNutrition Dataset Overview The OpenNutrition Dataset is a comprehensive collection of food and nutrition data provided in TSV (Tab-Separated Values) format. This dataset contains nutritional information for a wide variety of foods, including macronutrients, ingredients, and sourcing information.

File Structure This package contains:

opennutrition_foods.tsv: The main dataset file in TSV format LICENSE-ODbL.txt: The Open Database License v1.0 LICENSE-DbCL.txt: The Database Contents License v1.0 README.md: This file Data Format The dataset is provided as a tab-separated values (TSV) file with the following fields:

id: Unique identifier for each food item (starts with "fd_") name: Food item name alternate_names: Alternative names for the food item (JSON array) description: Text description of the food type: Food type (everyday, grocery, prepared, restaurant) source: Source information (JSON array) serving: Serving size information (JSON object) nutrition_100g: Nutritional information per 100g (JSON object) ean_13: EAN-13 barcode number labels: Food labels such as raw, canned, sweetened etc. (JSON array) package_size: Package size information (JSON object) ingredients: Ingredient list ingredient_analysis: Ingredient analysis including allergens (JSON object) Licensing This OpenNutrition Dataset is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under a modified version of the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/. Please review the complete LICENSE-DbCL.txt file included in this package for the full terms.

Attribution Requirements If you display, publish, or otherwise make available any data from the OpenNutrition Dataset, you must provide clear and visible attribution to "OpenNutrition" with a link to https://www.opennutrition.app in each of the following locations:

On every page, screen, or interface where any data from the OpenNutrition Dataset is displayed to users In your application's listing on distribution platforms (such as Google Play Store, Apple App Store, or similar platforms) On your application's or product's website (if any) In the "legal" or "about" section of your application or product Consolidated attribution (providing attribution in only one location while displaying data in multiple locations) does not satisfy these requirements.

Share-Alike Requirements Any Derivative Database that you create using the OpenNutrition Dataset must also be shared under the same license terms (ODbL). The best way to comply with this requirement is to contribute your modifications or enhancements back to OpenNutrition.

Data Sources Portions of the OpenNutrition dataset incorporate data from Open Food Facts. This data is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/.

When using OpenNutrition data that originates from Open Food Facts, the following attribution must be maintained: "(c) Open Food Facts contributors" with a link to https://world.openfoodfacts.org/terms-of-use or https://world.openfoodfacts.org

Contact Information For questions, support, or to report issues with the dataset:

Email: opensource@opennutrition.app Website: https://www.opennutrition.app To contribute to the dataset or provide corrections, please contact us at opensource@opennutrition.app. We may choose to provide additional tools to facilitate collaboration in the future based on demand.

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 also includes expanded nutrient content information as well as links to diverse data sources that offer related agricultural, environmental, food, health, dietary supplement, and other information. The new system is designed to strengthen the capacity for rigorous research and policy applications through its search capabilities, downloadable datasets, and detailed documentation. Application developers can incorporate the information into their applications and web sites through the application programming interface (API) REST access. The constantly changing and expanding food supply is a challenge to those who are interested in using food and nutrient data. Including diverse types of data in one data system gives researchers, policymakers, and other audiences a key resource for addressing vital nutrition and health issues. FoodData Central: Includes five distinct types of data containing information on food and nutrient profiles, each with a unique purpose: Foundation Foods; Experimental Foods; Standard Reference; Food and Nutrient Database for Dietary Studies; USDA Global Branded Food Products Database. Provides a broad snapshot in time of the nutrients and other components found in a wide variety of foods and food products. Presents data that come from a variety of sources and are updated as new information becomes available. Includes values that are derived through a variety of analytic and computational approaches, using state-of-the-art methodologies and transparent presentation. FoodData Central is managed by the Agricultural Research Service and hosted by the National Agricultural Library. Resources in this dataset: Resource Title: Website Pointer for FoodData Central. File Name: Web Page, url: https://fdc.nal.usda.gov/index.html Includes Search, Download data, API Guide, Data Type Documentation, and Help pages.

[Note: Integrated as part of FoodData Central, April 2019.] The USDA National Nutrient Database for Standard Reference (SR) is the major source of food composition data in the United States and provides the foundation for most food composition databases in the public and private sectors. This is the last release of the database in its current format. SR-Legacy will continue its preeminent role as a stand-alone food composition resource and will be available in the new modernized system currently under development. SR-Legacy contains data on 7,793 food items and up to 150 food components that were reported in SR28 (2015), with selected corrections and updates. This release supersedes all previous releases. Resources in this dataset:Resource Title: USDA National Nutrient Database for Standard Reference, Legacy Release. File Name: SR-Leg_DB.zipResource Description: Locally stored copy - The USDA National Nutrient Database for Standard Reference as a relational database using AcessResource Title: USDA National Nutrient Database for Standard Reference, Legacy Release. File Name: SR-Leg_ASC.zipResource Description: ASCII files containing the data of the USDA National Nutrient Database for Standard Reference, Legacy Release.Resource Title: USDA National Nutrient Database for Standard Reference, Legacy Release. File Name: SR-Leg_ASC.zipResource Description: Locally stored copy - ASCII files containing the data of the USDA National Nutrient Database for Standard Reference, Legacy Release.

The Canadian Nutrient File (CNF) is the standard reference food composition database reporting the amount of nutrients in foods commonly consumed in Canada.

Food Composition Database. It contains data for various types of food including the amounts of different vitamins and minerals found in the foods as well as macronutrient percentages.

FooDrugs database is a development done by the Computational Biology Group at IMDEA Food Institute (Madrid, Spain), in the context of the Food Nutrition Security Cloud (FNS-Cloud) project. Food Nutrition Security Cloud (FNS-Cloud) has received funding from the European Union's Horizon 2020 Research and Innovation programme (H2020-EU.3.2.2.3. – A sustainable and competitive agri-food industry) under Grant Agreement No. 863059 – www.fns-cloud.eu (See more details about FNS-Cloud below)

FooDrugs stores information extracted from transcriptomics and text documents for foo-drug interactiosn and it is part of a demonstrator to be done in the FNS-Cloud project. The database was built using MySQL, an open source relational database management system. FooDrugs_V2 host information for a total of 161 transcriptomics GEO series with 585 conditions for food or bioactive compounds (see below changes in versions V3 and V4). Each condition is defined as a food/biocomponent per time point, per concentration, per cell line, primary culture or biopsy per study. FooDrugs includes information about a bipartite network with 510 nodes and their similarity scores (tau score; https://clue.io/connectopedia/connectivity_scores) related with possible drug interactions with drugs assayed in conectivity map (https://www.broadinstitute.org/connectivity-map-cmap). The information is stored in eight tables:

• Table “study” : This table contains basic information about study identifiers from GEO, pubmed or platform, study type, title and abstract

• Table “sample”: This table contains basic information about the different experiments in a study, like the identifier of the sample, treatment, origin type, time point or concentration.

• Table “misc_study”: This table contains additional information about different attributes of the study.

• Table “misc_sample”: This table contains additional information about different attributes of the sample.

• Table “cmap”: This table contains information about 70895 nodes, compromising drugs, foods or bioactives, overexpressed and knockdown genes (see section 3.4). The information includes cell line, compound and perturbation type.

• Table “cmap_foodrugs”: This table contains information about the tau score (see section 3.4) that relates food with drugs or genes and the node identifier in the FooDrugs network.

• Table “topTable”: This table contains information about 150 over and underexpressed genes from each GEO study condition, used to calculate the tau score (see section 3.4). The information stored is the logarithmic fold change, average expression, t-statistic, p-value, adjusted p-value and if the gene is up or downregulated.

• Table “nodes”: This table stores the information about the identification of the sample and the node in the bipartite network connecting the tables “sample”, “cmap_foodrugs” and “topTable”.

In addition, FooDrugs_V2 database stores a total of 6422 food/drug interactions from 2849 text documents, obtained from three different sources: 2312 documents from PubMed, 285 from DrugBank, and 252 from drugs.com. These documents describe potential interactions between 1464 food/bioactive compounds and 3009 drugs (see below changes in versions V3 and V4). The information is stored in two tables:

• Table “texts”: This table contains all the documents with its identifiers where interactions have been identified with strategy described in section 4.

• Table “TM_interactions”: This table contains information about interaction identifiers, the food and drug entities, and the start and the end positions of the context for the interaction in the document.

FNS-Cloud will overcome fragmentation problems by integrating existing FNS data, which is essential for high-end, pan-European FNS research, addressing FNS, diet, health, and consumer behaviours as well as on sustainable agriculture and the bio-economy. Current fragmented FNS resources not only result in knowledge gaps that inhibit public health and agricultural policy, and the food industry from developing effective solutions, making production sustainable and consumption healthier, but also do not enable exploitation of FNS knowledge for the benefit of European citizens.
FNS-Cloud will, through three Demonstrators; Agri-Food, Nutrition & Lifestyle and NCDs & the Microbiome to facilitate:
(1) Analyses of regional and country-specific differences in diet including nutrition, (epi)genetics, microbiota, consumer behaviours, culture and lifestyle and their effects on health (obesity, NCDs, ethnic and traditional foods), which are essential for public health and agri-food and health policies;
(2) Improved understanding agricultural differences within Europe and what these means in terms of creating a sustainable, resilient food systems for healthy diets; and
(3) Clear definitions of boundaries and how these affect the compositions of foods and consumer choices and, ultimately, personal and public health in the future.
Long-term sustainability of the FNS-Cloud will be based on Services that have the capacity to link with new resources and enable cross-talk amongst them; access to FNS-Cloud data will be open access, underpinned by FAIR principles (findable, accessible, interoperable and re-useable). FNS-Cloud will work closely with the proposed Food, Nutrition and Health Research Infrastructure (FNHRI) as well as METROFOOD-RI and other existing ESFRI RIs (e.g. ELIXIR, ECRIN) in which several FNS-Cloud Beneficiaries are involved directly. (https://cordis.europa.eu/project/id/863059)

***** changes between version FooDrugs_v2 and FooDrugs_V3 (31st January 2023) are:

• Increased the amount of text documents by 85.675 from PubMed and ClinicalTrials.gov, and the amount of Text Mining interactions by 168.826.

• Increased the amount of transcriptomic studies by 32 GEO series.

• Removed all rows in table cmap_foodrugs representing interactions with values of tau=0

• Removed 43 GEO series that after manually checking didn't correspond to food compounds.

• Added a new column to the table texts: citation to hold the citation of the text.

• Added these columns to the table study: contributor to contain the authors of the study, publication_date to store the date of publication of the study in GEO and pubmed_id to reference the publication associated with the study if any.

• Added a new column to topTable to hold the top 150 up-regulated and 150 down-regulated genes

***** changes between version FooDrugs_v3 and FooDrugs_V4 (28th July 2023) are:

• Increased the amount of text documents by 439.338 from PubMed, ClinicalTrials.gov and DDI corpus (Herrero-Zazo et al.), and the amount of Text Mining interactions by 1108429.

SuperTracker was an online tool offered by USDA (2011-2018) that helped users track diet, physical activity and weight. SuperTracker provided a personalized plan based on the 2015-2020 Dietary Guidelines for Americans for what you should eat and drink and guided users to making better choices. This dataset includes the SuperTracker source code (latest update April 2018), including: front end application, database schema, documentation, deployment scripts and a ReadMe.txt file that provides high level instructions for the source code. Database connection strings and actual data are not included. The full foods database spreadsheet is attached as well; these foods are based on the Food and Nutrient Database for Dietary Studies (FNDDS), and the Food Patterns Equivalents Database (FPED), both from the USDA/ARS Food Surveys Research Group.

It is important to note that the code is based on 2015-2020 Dietary Guidelines for Americans and will not be updated to reflect future guidance. In addition, the food database is based on FNDDS from 2011-2012 (FNDDS 6.0) and FPED from 2011-2012 and will not be updated with future data releases.

[Note: Integrated as part of FoodData Central, April 2019.] USDA's Food and Nutrient Database for Dietary Studies (FNDDS) is a database that is used to convert food and beverages consumed in What We Eat In America (WWEIA), National Health and Nutrition Examination Survey (NHANES) into gram amounts and to determine their nutrient values. Because FNDDS is used to generate the nutrient intake data files for WWEIA, NHANES, it is not required to estimate nutrient intakes from the survey. FNDDS is made available for researchers using WWEIA, NHANES to review the nutrient profiles for specific foods and beverages as well as their associated portions and recipes. Such detailed information makes it possible for researchers to conduct enhanced analysis of dietary intakes. FNDDS can also be used in other dietary studies to code foods/beverages and amounts eaten and to calculate the amounts of nutrients/food components in those items. FNDDS is released every two-years in conjunction with the WWEIA, NHANES dietary data release. The FNDDS is available for free download from the FSRG website. Resources in this dataset: Resource Title: Website Pointer to Food and Nutrient Database for Dietary Studies. File Name: Web Page, url: https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/fndds/ USDA's Food and Nutrient Database for Dietary Studies (FNDDS) is a database that is used to convert food and beverages consumed in What We Eat In America (WWEIA), National Health and Nutrition Examination Survey (NHANES) into gram amounts and to determine their nutrient values.

Original Title: Composition of Raw, Processed, Prepared Foods USDA National Nutrient Database for Standard Reference, 27th Edition

The database consists of several datasets: food descriptions, nutrients, weights and measures, footnotes and data sources. The Nutrient Data file contains the average nutrient values per 100 grams of the edible portion of the food along with fields to further describe the average value. Information on household measures for food items is provided. Weight is given for food items without waste. Footnotes are provided for a few items where information on food descriptions, weights and measurements, or nutrient values is not available in the available contexts. Data were collected from published and unpublished sources. Published data sources include scientific literature. Unpublished data include information obtained from the food industry, other government agencies, and research conducted under contracts initiated by the USDA Agricultural Research Service (ARS). Updated data since 1992 have been published electronically on the USDA Nutrient Data Laboratory (NDL) website. Standard Reference (SR) 27 contains composite data for all food groups and nutrients published in 21 volumes of Handbook of Agriculture 8 (US Department of Agriculture). of Agriculture 1992–76), and its four supplements (US Department of Agriculture 1990–93), which replaced the 1963 version (Watt and Merrill, 1963). SR27 supersedes all previous versions, including printed versions, if there are any differences.

Source: https://catalog.data.gov/dataset/composition-of-foods-raw-processed-prepared-usda-national-nutrient-database-for-standard-r Last update at https://catalog.data.gov/organization/usda-gov: 2020-02-21

Food choices significantly affect global health, contributing to an estimated 11 million deaths from diseases such as diabetes, cancer, and cardiovascular disease.

The American Institute for Cancer Research emphasizes the potential reduction of neoplasms, or abnormal tissue growth, by changing lifestyle and dietary choices in developing countries. Over the past decade, there has been an increase in the consumption of processed and ultra-processed foods worldwide. This escalation underscores the critical need to investigate and raise awareness of the effects of these foods on overall health.

Definition of processed and ultra-processed foods Food processing involves techniques that modify raw foods for ease of storage and consumption. In contemporary classifications, foods are divided into four categories: unprocessed, processed culinary, processed foods, and ultra-processed foods (UPF). including cleaning, dehydrating, heating, juicing or freezing, apart from raw agricultural products. Examples include tofu (from raw soybeans), dry roasted almonds (from raw almonds), and canned vegetables (such as tomatoes, carrots). In contrast, ultra-processed foods undergo more processing and contain additional ingredients such as fats, salt, sugar, preservatives, artificial colors and flavors, such as processed meats, sugary drinks, packaged sweets. frozen snacks, instant soups and meals.

Dispelling beliefs about processed foods There is a common misconception that all processed foods have no nutritional value and are harmful. However, some processing methods can enhance or preserve food, such as fortifying food with essential nutrients such as iron, vitamins, and iodine to prevent deficiencies. In addition, processing methods such as cooking, drying, and pasteurization can prevent the growth of harmful bacteria, increase shelf life, and improve flavor and texture, making food easier to prepare.

Nutritional content and its effect Research shows that ultra-processed foods (UPFs) have poor nutritional value and contribute to severe conditions such as obesity. These foods are typically high in energy, refined carbohydrates, unhealthy fats, and sugar, but low in fiber, protein, minerals, and vitamins. Various studies have linked consumption of UPFs to increased risks of obesity, abdominal obesity, metabolic syndrome, high blood pressure, hypertension, type 2 diabetes, cardiovascular disease, cancer, and depression. These health risks are associated with poor nutritional content and high glycemic levels in UPFs.

Getting to know food labels Identifying processed and ultra-processed foods from food labels alone can be challenging, as specific processing techniques are often not disclosed. However, understanding some basic concepts of food development and processing can help. For example, fresh fruits and vegetables are not processed or ultra-processed, while cooking ingredients such as vegetable oils, sugars, and salts fall into the minimally processed category. Additionally, the number of ingredients listed on a food product can indicate its level of processing. Cosmetic additives listed at the end of the ingredie...

What We Eat in America (WWEIA) is the dietary intake interview component of the National Health and Nutrition Examination Survey (NHANES).
WWEIA is conducted as a partnership between the U.S. Department of Agriculture (USDA) and the U.S. Department of Health and Human Services (DHHS). Two days of 24-hour dietary recall data are collected through an initial in-person interview, and a second interview conducted over the telephone within three to 10 days. Participants are given three-dimensional models (measuring cups and spoons, a ruler, and two household spoons) and/or USDA's Food Model Booklet (containing drawings of various sizes of glasses, mugs, bowls, mounds, circles, and other measures) to estimate food amounts. WWEIA data are collected using USDA's dietary data collection instrument, the Automated Multiple-Pass Method (AMPM). The AMPM is a fully computerized method for collecting 24-hour dietary recalls either in-person or by telephone.

For each 2-year data release cycle, the following dietary intake data files are available:

Individual Foods File - Contains one record per food for each survey participant. Foods are identified by USDA food codes. Each record contains information about when and where the food was consumed, whether the food was eaten in combination with other foods, amount eaten, and amounts of nutrients provided by the food.

Total Nutrient Intakes File - Contains one record per day for each survey participant. Each record contains daily totals of food energy and nutrient intakes, daily intake of water, intake day of week, total number foods reported, and whether intake was usual, much more than usual or much less than usual. The Day 1 file also includes salt use in cooking and at the table; whether on a diet to lose weight or for other health-related reason and type of diet; and frequency of fish and shellfish consumption (examinees one year or older, Day 1 file only).

DHHS is responsible for the sample design and data collection, and USDA is responsible for the survey’s dietary data collection methodology, maintenance of the databases used to code and process the data, and data review and processing. USDA also funds the collection and processing of Day 2 dietary intake data, which are used to develop variance estimates and calculate usual nutrient intakes.

MiFoDB (Microbial Foods Database) is a primary reference database which includes 675 assembled MAGs and RefSeq bacterial, yeast, fungal, and substrate genomes from fermented foods.

The database contains values for 283 food items for the following proanthocyanidins groups:

• Dimers
• Trimers
• 4-6 mers (tetramers, pentamers and hexamers)
• 7-10 mers (heptamers, octamers, nonamers and decamers
• Polymers (DP>10)

• Resource Title: READ ME - USDA Database for the Proanthocyanidin Content of Selected Foods.

  File Name: PA02.pdf

  Resource Description: Information regarding the documentation, data sources, data management, data quality evaluation, aggregation and format, sources of data, and references cited.

  Resource Software Recommended: Adobe Acrobat Reader,url: http://www.adobe.com/prodindex/acrobat/readstep.html




• Resource Title: Data Dictionary.

  File Name: PA02_DD.pdf




• Resource Title: PA02.accdb.

  File Name: PA02.zip

  Resource Description: This file contains the Proanthocyanidin Database imported into a MS Access database version 2007 or later. The file structure is the same as that of the USDA National Nutrient Database for Standard Reference.

Dataset

This dataset was created by Zach Haygarth

Released under CC0: Public Domain

Contents

The Canadian Nutrient File (CNF) is the standard reference food composition database reporting the amount of nutrients in foods commonly consumed in Canada.

The database contains values for 506 food items for five subclasses of flavonoids: FLAVONOLS:Quercetin, Kaempferol, Myricetin, Isorhamnetin FLAVONES: Luteolin, Apigenin FLAVANONES: Hesperetin, Naringenin, Eriodictyol FLAVAN-3-OLS: (+)-Catechin, (+)-Gallocatechin, (-)-Epicatechin, (-)-Epigallocatechin, (-)-Epicatechin 3-gallate, (-)-Epigallocatechin 3-gallate, Theaflavin, Theaflavin 3-gallate, Theaflavin 3'-gallate, Theaflavin 3,3' digallate, Thearubigins ANTHOCYANIDINS: Cyanidin, Delphinidin, Malvidin, Pelargonidin, Peonidin, Petunidin Resources in this dataset:Resource Title: USDA Database for the Flavonoid Content of Selected Foods, Release 3.3 (March 2018). File Name: Flav_R03-3.accdbResource Description: This file contains the Flavonoid Database imported into a MS Access database. In addition to the summary values, a separate file containing the individual values used to calculate the summary values is included, along with all information on conversion factors used to calculate the individual aglycone values, analytical method, country of origin, etc. It also includes relationships between files. You need MS Access 2007 or later to use this file. The file structure is the same as that of the USDA National Nutrient Database for Standard Reference. Resource Title: USDA Database for the Flavonoid Content of Selected Foods Release 3.3 Documentation . File Name: Flav3.3.pdf