USDA Database for the Flavonoid Content of Selected Foods. Release 3.2 (November 2015)

Metadata Updated: October 14, 2021

This database contains values for 506 food items for 5 subclasses of flavonoids. Those 5 subclasses are as follows:

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

Access & Use Information

Public: This dataset is intended for public access and use. License: Creative Commons CCZero

Downloads & Resources

Dates

Metadata Created Date November 10, 2020
Metadata Updated Date October 14, 2021

Metadata Source

Harvested from USDA JSON

Additional Metadata

Resource Type Dataset
Metadata Created Date November 10, 2020
Metadata Updated Date October 14, 2021
Publisher Agricultural Research Service
Unique Identifier Unknown
Maintainer
Identifier 8758480c-46ce-4780-92bc-6779167b7a0e
Data Last Modified 2021-09-23
Public Access Level public
Bureau Code 005:18
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Data Dictionary https://data.nal.usda.gov/dataset/usda-database-flavonoid-content-selected-foods-release-32-november-2015/resource/da4475b5-a2a1-48dc-8b3a-a5e2142467f1
Harvest Object Id b34cd9ef-4582-4633-9ea2-94d4f8f857d8
Harvest Source Id d3fafa34-0cb9-48f1-ab1d-5b5fdc783806
Harvest Source Title USDA JSON
License https://creativecommons.org/publicdomain/zero/1.0/
Program Code 005:040
Source Datajson Identifier True
Source Hash ee7acbb64910881e933ee747462c98d2b8ab5601
Source Schema Version 1.1

Didn't find what you're looking for? Suggest a dataset here.