데이터셋 상세
미국
Food Intakes Converted to Retail Commodities Databases (FICRCD)
,Food Intakes Converted to Retail Commodities Databases (FICRCD) provide data for foods consumed in the United States national dietary intake surveys at the retail commodity level. The survey foods are converted into 65 retail-level commodities. The commodities are grouped into eight major categories: Dairy Products; Fats and Oils; Fruits; Grains; Meat, Poultry, Fish and Eggs; Nuts; Caloric Sweeteners; and Vegetables, Dry Beans and Legumes.,The Food Intakes Converted to Retail Commodities Databases were jointly developed by USDA's Agricultural Research Service (ARS) and Economic Research Service (ERS) for the following six surveys:,
연관 데이터
주식회사 원데이터기술 - 급식 음식 영양성분 데이터
공공데이터포털
급식소별, 개인별 측정된 비정형 데이터(이미지) 분석을 통한 정형데이터(영양 분석) 생성 *테이블 정의서 SE_ID -> USER_ID MLSV_YMD -> 급식일자 FOOD_NM -> 음식명 CLRE_QY -> 칼로리량 CBHD_QY -> 탄수화물량 PROT_QY -> 단백질량 BDF_QY -> 지방량 ACTT_WT -> 재료 사용 무게
주식회사 원데이터기술 - 급식식단 식재료 데이터
공공데이터포털
급식소에서 제공 받은 급식 식단을 식재료로 나누어 정리한 데이터 입니다. 급식 식단의 이름 및 중량대비 영양소를 활용해 식단추천에 활용할 수 있습니다. * 테이블 정의서 SE_ID -> USER_ID FOOD_NM -> 음식이름 FDINGR_NM -> 식재료명 ACTT_WT -> 재료사용무게 CLRE_QY -> 칼로리량 CBHD_QY -> 탄수화물량 PROT_QY -> 단백질량 BDF_QY -> 지방량
주식회사 원데이터기술 - 급식식단 식재료 데이터
공공데이터포털
- 급식 식단 식재료 데이터 *테이블 정의서 SE_ID -> USER_ID FOOD_NM -> 음식이름 FDINGR_NM -> 식재료명 ACTT_WT -> 재료사용무게 CLRE_QY -> 칼로리량 CBHD_QY -> 탄수화물량 PROT_QY -> 단백질량 BDF_QY -> 지방량
주식회사 원데이터기술 - 급식 음식 영양성분 데이터
공공데이터포털
각 급식소에서 제공하는 식단의 영양성분을 표준화 및 데이터베이스화 하여, 보다 체계적인 정보를 제공할 수 있도록 돕습니다. * 테이블 정의서 SE_ID -> USER_ID MLSV_YMD -> 급식일자 FOOD_NM -> 음식명 CLRE_QY -> 칼로리량 CBHD_QY -> 탄수화물량 PROT_QY -> 단백질량 BDF_QY -> 지방량 ACTT_WT -> 재료사용무게
FoodData Central
공공데이터포털
,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:,FoodData Central is managed by the Agricultural Research Service and hosted by the National Agricultural Library.,
Composition of Foods Raw, Processed, Prepared USDA National Nutrient Database for Standard Reference, Release 28
공공데이터포털
,[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,
주식회사 원데이터기술 - 급식 기간별 식재료 데이터
공공데이터포털
급식소별, 개인별 측정된 비정형 데이터(이미지) 분석을 통한 정형데이터(기간별 식재료) 생성 *테이블 정의서 SE_ID -> USER_ID MLSV_YMD -> 급식일자 FOOD_NM -> 음식명 FDINGR_NM -> 식재료명
식품의약품안전처 가공식품 품목별 영양성분 DB
공공데이터포털
본 데이터는 교육부 학교급식의 식재료 데이터 사용 현황 등을 분석하여 선정한 가공식품 722개 품목에 대하여 에너지 등 최대 24개 영양성분 정보를 제공하고 있음
Food and Nutrient Database for Dietary Studies (FNDDS)
공공데이터포털
,[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.,
주식회사 원데이터기술 - 일반인 급식 배식량 데이터
공공데이터포털
배식 스캐너를 통해, 식판에 있는 음식의 양을 측정할 수 있습니다. 일반 급식소의 배식량 데이터를 분석하여, 총 식재료 발주량 예측 등에 사용됩니다. * 테이블 정의서 SE_ID -> USER_ID MLSV_YMD -> 급식일자 DTBFD_QY -> 배식량