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SNAPMe: A Benchmark Dataset of Food Photos with Food Records for Evaluation of Computer Vision Algorithms in the Context of Dietary Assessment

    We conducted the Surveying Nutrient Assessment with Photographs of Meals (SNAPMe) Study (ClinicalTrials ID: NCT05008653) to develop a benchmark dataset of food photographs paired with traditional food records. The SNAPMe DB includes 1,475 “before” photos of non-packaged foods, 1,436 “after” photos of non-packaged foods, 203 “front” photos of packaged foods, and 196 “ingredient” labels of packaged foods. Each line item of each ASA24 food record is linked to the relevant photo. These data will be transformative for the improvement of artificial intelligence algorithms for the adoption of photo-based dietary assessment in nutrition research.

    Data from: Starch and dextrose at 2 levels of rumen-degradable protein in iso-nitrogenous diets: Effects on lactation performance, ruminal measurements, methane emission, digestibility, and nitrogen balance of dairy cows.

      This feeding trial was designed to investigate two separate questions. The first question is, “What are the effects of substituting two non-fiber carbohydrate (NFC) sources at two rumen-degradable protein (RDP) levels in the diet on apparent total-tract nutrient digestibility, manure production and nitrogen (N) excretion in dairy cows?”. This is relevant because most of the N ingested by dairy cows is excreted, resulting in negative effects on environmental quality. The second question is, “Is phenotypic residual feed intake (pRFI) correlated with feed efficiency, N use efficiency, and metabolic energy losses (via urinary N and enteric CH4) in dairy cows?”. The pRFI is the difference between what an animal is expected to eat, given its level of productivity, and what it actually eats. The goal was to determine whether production of CH4, urinary N or fecal N is a driver of pRFI.

      National Animal Nutrition Program (NANP) Modeling: Animal Performance Information

        This page allows you to download data from the National Animal Nutrition Program animal performance data repository directly into an Excel file. Component data sets: [NRC Dairy Report](https://animalnutrition.org/node/12); [Lofgreen Garrett](https://animalnutrition.org/node/13); [Environmental Stress](https://animalnutrition.org/node/27): [to follow]; [Beef Digestiblity](https://animalnutrition.org/beef-digestibility): [to follow]; [USDA Beltsville Agricultural Research Center](https://animalnutrition.org/usda-barc).

        National Animal Nutrition Program (NANP) Feed Composition Database

          This database was developed by the [Feed Composition Sub-Committee](https://animalnutrition.org/node/38) and serves as a freely-available, centralized resource for up-to-date nutrient composition data for feedstuffs commonly fed to animal species. There are currently 123 ingredients and 129 nutrients represented in the database.

          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.

            Cacao Genome Database

              The release of the cacao genome sequence will provide researchers with access to the latest genomic tools, enabling more efficient research and accelerating the breeding process, thereby expediting the release of superior cacao cultivars. The sequenced genotype, Matina 1-6, is representative of the genetic background most commonly found in the cacao producing countries, enabling results to be applied immediately and broadly to current commercial cultivars.  Matina 1-6 is highly homozygous which greatly reduces the complexity of the sequence assembly process. While the sequence provided is a preliminary release, it already covers 92% of the genome, with approximately 35,000 genes. We will continue to refine the assembly and annotation, working toward a complete finished sequence.

              NUOnet (Nutrient Use and Outcome Network) database

                The Nutrient Uptake and Outcomes (NUOnet) database will be able to help establish baselines on nutrient use efficiencies; processes contributing to nutrient losses; and processes contributing to optimal crop yield, nutritional and organoleptic quality. This national database could be used to calculate many different environmental indicators from a comprehensive understanding of nutrient stocks and flows.

                Food Patterns Equivalents Database (FPED)

                  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 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.

                  USDA Branded Food Products Database

                    The USDA Branded Food Products Database is the result of a Public-Private Partnership, whose goal is to enhance public health and the sharing of open data by complementing USDA Food Composition Databases with nutrient composition of branded foods and private label data provided by the food industry. [Note: Integrated as part of FoodData Central, April 2019.]

                    Dietary Supplement Ingredient Database (DSID) release 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.