U.S. flag

An official website of the United States government

Data from: Assessing pollen nutrient content: a unifying approach for the study of bee nutritional ecology

    Poor nutrition and landscape changes are regularly cited as key factors causing the decline of wild and managed bee populations. However, what constitutes “poor nutrition” for bees currently is inadequately defined. Bees collect and eat pollen: it is their only solid food source and it provides a broad suite of required macro- and micronutrients. Bees are also generalist foragers and thus the different pollen types they collect and eat can be highly nutritionally variable. Therefore, characterizing the multidimensional nutrient content of different pollen types is needed to fully understand pollen as a nutritional resource. Unfortunately, the use of different analytical approaches to assess pollen nutrient content has complicated between-studies comparisons and blurred our understanding of pollen nutrient content. This dataset includes the raw data generated from each of our analyses, including pollen disruption and nutrient assays. We used our collective data to propose a unifying approach for analyzing pollen nutrient content. This will help researchers better study and understand the nutritional ecology – including foraging behavior, nutrient regulation, and health – of bees and other pollen feeders.

    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.

      USDA Dietary Guidelines Sentiment Analysis

        This dataset has all documents, the text and the pdf files as well as the code that was used to carry out the sentiment analysis on USDA DietaryGuidelines. The scope of the project and the resulting dataset uploaded here is carrying out the sentiment analysis on USDA dietary guidelines from 1980 till 2015 (released every 5 years). The motivation behind this project was the fact that recommendations regarding the different nutrients have changed over the years.