The Inactive Ingredient Database provides information on inactive ingredients present in Food and Drug Administration (FDA) approved drug products. This information can be used by industry as an aid in developing drug products.

Inventory of Cosmetic Ingredients as amended by Decision a common nomenclature of ingredients employed for labelling cosmetic products throughout the EU.

The Inventory is purely indicative and does not constitute a list of substances authorized for use in cosmetic products. An ingredients assigned with an INCI name that appears in the inventory section of CosIng does not mean it is to be used in cosmetic products nor approved for such use.

A team of experts and scholars is formed to review genetically modified food ingredients on a case-by-case basis. This dataset allows for the inquiry of approved genetically modified food ingredients.

Food Ingredients

## Overview

Food Ingredients is a dataset for object detection tasks - it contains Food annotations for 3,289 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

The Dietary Supplement Ingredient Database (DSID) provides estimated levels of ingredients in dietary supplement products sold in the United States. These statistically predicted estimates may differ from labeled amounts and are based on chemical analysis of nationally representative products. The DSID was developed by the Nutrient Data Laboratory, US Department of Agriculture, in collaboration with the Office of Dietary Supplements at the National Institutes of Health (NIH) and other federal agencies. DSID-4 reports national estimates of ingredient content in adult, children’s and non-prescription prenatal multivitamin/mineral (MVMs) and omega-3 fatty acid supplements. New! Analytically-validated mean estimates for vitamin D, vitamin A and chromium in adult MVMs are reported for the first time, and estimates for 18 other ingredients have been calculated based on a new, second study of representative adult MVMs. DSID-4 also reports results for the first DSID study of botanical dietary supplements. The “Green Tea Research Summary and Results" are available on the 'Botanicals' page. The DSID is intended primarily for research applications. These data are appropriate for use in population studies of nutrient intake rather than for assessing content of individual products. Resources in this dataset:Resource Title: The Dietary Supplement Ingredient Database (DSID), Release 4. File Name: Web Page, url: https://dietarysupplementdatabase.usda.nih.gov/ provides estimated levels of ingredients in dietary supplement products sold in the United States. These statistically predicted estimates may differ from labeled amounts and are based on chemical analysis of nationally representative products. The DSID was developed by the Nutrient Data Laboratory, US Department of Agriculture, in collaboration with the Office of Dietary Supplements at the National Institutes of Health (NIH) and other federal agencies. DSID-4 reports national estimates of ingredient content in adult, children’s and non-prescription prenatal multivitamin/mineral (MVMs) and omega-3 fatty acid supplements.

This document describes the use of the Natural Health Products Ingredients Database Issue Form, which is designed to help applicants send NHPID data requests which are complete and accurate.

This guide was developed to help users search and navigate the Natural Health Products Ingredients Database using the online Web application.

The Natural Health Products Ingredients Database is a repository of scientific terminologies and Pre-cleared Information approved by the Natural and Non-prescription Health Products Directorate (NNHPD).

This dataset contains complete active ingredient information for all approved, marketed, canceled and dormant products for human, veterinary, disinfectant and radiopharmaceutical use in the Canadian Drug Product Database (DPD) as of September 1, 2017. Before drug products are authorized for sale, Health Canada reviews them to assess their safety, efficacy, and quality. Drug products include prescription and non-prescription pharmaceuticals, disinfectants and sanitizers with disinfectant claims.

Open Food Facts Database

  What is 🍊 Open Food Facts?





  A food products database

Open Food Facts is a database of food products with ingredients, allergens, nutrition facts and all the tidbits of information we can find on product labels.

  Made by everyone

Open Food Facts is a non-profit association of volunteers. 25.000+ contributors like you have added 1.7 million + products from 150 countries using our Android or iPhone app or their camera to scan… See the full description on the dataset page: https://huggingface.co/datasets/openfoodfacts/product-database.

This database is the result of the ingredients scoping conducted in six countries (Zambia, Nigeria, Egypt, Bangladesh, Myanmar and Malaysia) and the subsequent digestibility experiments conducted on 15 ingredients at WorldFish HQ in Penang Malaysia. Of the 15 ingredients studied, the data screening allow to keep only 13 local, sustainable ingredients in this database, namely the whole black soldier larvae meal, rubber seed meal, azolla meal, sweet potato peel , cassava peel HQ (High Quality from ILRI-IITA), conventional cassava peel , palm kernel cake conventional, palm kernel cake refined, sago flour, banana peel, cocoa husk , coconut (Copra) waste and sugarcane bagasse. The data contained in this ingredient database have been integrated in the FeedCalculator App (https://drive.google.com/file/d/11kT7ADhoDFgGZGjW_F9SFX7Xay3EP2I4/view?usp=sharing); this App is Open Access and be used directly by the farmers to formulate local feeds containing the ingredients listed above.

[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.

USDA’s Food Patterns Equivalents Database (FPED) converts the foods and beverages in the Food and Nutrient Database for Dietary Studies to the 37 USDA Food Patterns components. The FPED was formerly known as the MyPyramid Equivalents Database. The FPED serves as a unique research tool to evaluate food and beverage intakes of Americans with respect to the 2015-2020 Dietary Guidelines for Americans recommendations. The Food Patterns are measured as cup equivalents of Fruit, Vegetables, and Dairy; ounce equivalents of Grains and Protein Foods; teaspoon equivalents of Added Sugars; gram equivalents of Solid Fats and Oils; and the number of Alcoholic Drinks. In addition to the SAS datasets, the FPED release includes: (1) the Food Patterns Equivalents Ingredient Database (FPID) that includes the 37 USDA Food Patterns components per 100 grams of each unique ingredient used in the FNDDS; and (2) listings of gram weights for one cup equivalents of fruits, vegetables, dairy, and legumes used in the FPED. Resources in this dataset:Resource Title: Food Patterns Equivalents Database. 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/fped-overview/ Food Patterns Equivalents Database (FPED) converts the foods and beverages in the Food and Nutrient Database for Dietary Studies to the 37 USDA Food Patterns components. The FPED serves as a unique research tool to evaluate food and beverage intakes of Americans with respect to the 2015-2020 Dietary Guidelines for Americans recommendations.

A database of ingredients in brand-name household products linked to health information from Material Safety Data Sheets (MSDS) provided by manufacturers. The database is designed to help answer the following typical questions: *What are the chemical ingredients and their percentage in specific brands? *Which products contain specific chemical ingredients? *Who manufactures a specific brand? How do I contact this manufacturer? *What are the acute and chronic effects of chemical ingredients in a specific brand? *What other information is available about chemicals in the toxicology-related databases of the National Library of Medicine? NLM and its Contractor (the Database Providers) do not test products nor investigate to determine if this information is complete or accurate.

The Toxicity Reference Database (ToxRefDB) contains approximately 30 years and $2 billion worth of animal studies. ToxRefDB allows scientists and the interested public to search and download thousands of animal toxicity testing results for hundreds of chemicals that were previously found only in paper documents. Currently, there are 474 chemicals in ToxRefDB, primarily the data rich pesticide active ingredients, but the number will continue to expand.

These data reflect information that has been reported to the California Safe Cosmetics Program (CSCP) in the California Department of Public Health (CDPH). The primary purpose of the CSCP is to collect information on hazardous and potentially hazardous ingredients in cosmetic products sold in California and to make this information available to the public.

For all cosmetic products sold in California, the California Safe Cosmetics Act (“the Act”) requires the manufacturer, packer, and/or distributor named on the product label to provide to the CSCP a list of all cosmetic products that contain any ingredients known or suspected to cause cancer, birth defects, or other developmental or reproductive harm.

To assist companies with reporting, CDPH has compiled a list of reportable ingredients based on lists and reports available from the authoritative scientific bodies cited in the Act to cause cancer or reproductive harm; it is meant to serve as guidance and is not all-inclusive. Companies with reportable ingredients in their products must submit information to the California Safe Cosmetics Program if the company:

• Has annual aggregate sales of cosmetic products of one million dollars or more, and
• Has sold cosmetic products in California on or after January 1, 2007.

The data table consists of: label names of cosmetic/personal care products, company/manufacturer names, product brand names, product categories, Chemical Abstracts Service registry numbers (CAS#) of the reported chemical ingredients, names of reported chemical ingredients, the number of reported chemicals for each product, and dates of reporting, product discontinuation or reformulation if applicable.

All products containing carcinogens or developmental or reproductive toxicants may not be included due to companies failing to report.

List of reportable ingredients: www.cdph.ca.gov/ReportableIngredientsList

Database of federally funded research projects pertaining to dietary supplements. CARDS contains projects funded by the United States Department of Agriculture (USDA), the Department of Defense (DOD) and the Institutes and Centers (ICs) of the National Institutes of Health (NIH) beginning with fiscal year 1999, the first year that NIH ICs began reporting research related to dietary supplements. Projects funded by other Federal agencies will be added to CARDS as they become available. The Office of Dietary Supplements (ODS) will post notices on its website and listserv when CARDS updates are completed. Codes assigned to each research project allow the CARDS user to identify: * research related to specific dietary supplement ingredients; for example, vitamin E or St. John''''s wort * the type of study; for example, a Phase III study or an animal study * health outcomes or biological effects; for example, osteoporosis or antioxidant function * whether the research is directly related or indirectly related to dietary supplements. For example, a clinical trial comparing bone density in women given a daily calcium supplement versus a placebo would be classified as directly related to dietary supplements. A study examining the activation of steroid hormone receptors by supplemental vitamin D in cell culture would be classified as indirectly related to dietary supplements because the direct physiological or health effects of vitamin D supplementation are not being studied. A search of the CARDS database can be used to sort and tabulate information for a variety of purposes. For example, a researcher may want to know which ICs at the NIH fund research on herbal supplement ingredients. A consumer may want to know if the Federal government is supporting research on a popular dietary supplement ingredient such as vitamin C.

Quantifying Western U.S. shrublands as a series of fractional components with remote sensing provides a new way to understand these changing ecosystems. The USGS NLCD team in collaboration with the BLM has produced the most comprehensive remote sensing-based quantification of Western U.S. shrublands to date. Nine shrubland ecosystem components, including percent shrub, sagebrush (Artemisia spp.), big sagebrush, herbaceous, annual herbaceous, litter, and bare ground cover, along with sagebrush and shrub heights, were quantified at 30-m resolution by mapping region. Each region required extensive ground measurement for model training and validation, two scales of remote sensing data from commercial high-resolution satellites and Landsat 8, and regression tree modeling to create component predictions. In the mapped portion (1,946,100 km²) of the total study area (2,557,556 km²), bare ground averaged 46.8%, shrub 14.4%, sagebrush 4.4%, big sagebrush 3.1%, herbaceous 22.8%, annual herbaceous 4.3% and litter 15.6%. Shrub height averaged 39.8 cm and sagebrush height 10.5 cm. Component accuracies using independent validation averaged R² values of 0.46, RMSE of 10.37 and nRMSE of 0.12, and cross validation averaged R² values of 0.72, RMSE of 5.09 and nRMSE of 0.062. Component composition strongly diverges by level III ecoregions, where 13 of 22 ecoregions are bare ground dominant, 8 are herbaceous dominant, and one is shrub dominant. Sagebrush physically covers 86,219 km², or 4.4%, of our study area, but it is present in 835,507 km², or 42.9%, of the non-masked area of our study area, underscoring its widespread distribution. In this version, we have applied a more aggressive masking of tree canopy cover was applied to each rangeland component. Specifically, we have lowered the tree canopy cover threshold for exclusion from 40 to 25%. For pixels with 1-25% tree canopy cover we ensured that our primary components (shrub, herbaceous, litter, and bare ground) cover summed to 100% when added with the tree canopy. And, for the secondary components (sagebrush, big sagebrush, sagebrush height and shrub height) we reconciled to the primary component (shrub), excluding any pinyon-juniper woodlands. For a previous version without these updates applied, see https://doi.org/10.5066/P9LTU2QM. Component products can also be downloaded from www.mrlc.gov.

Open Food Facts répertorie les informations sur les produits alimentaires : ingrédients, informations nutritionnelles, labels etc. Les données proviennent majoritairement de la collecte citoyenne (crowdsourcing) des informations.

United States Food & Beverage Price Inflation: MoM: Frozen Meals & Ingredients data was reported at 0.600 % in Nov 2022. This records a decrease from the previous number of 1.100 % for Oct 2022. United States Food & Beverage Price Inflation: MoM: Frozen Meals & Ingredients data is updated monthly, averaging 1.100 % from Sep 2022 (Median) to Nov 2022, with 3 observations. The data reached an all-time high of 1.300 % in Sep 2022 and a record low of 0.600 % in Nov 2022. United States Food & Beverage Price Inflation: MoM: Frozen Meals & Ingredients data remains active status in CEIC and is reported by Information Resources Inc.. The data is categorized under Global Database’s United States – Table US.I110: Retail Food and Beverage Inflation.