SolarCalc 1.0
Solar Calc: Estimating Hourly Incoming Solar Radiation from Limited Meteorological Data
Animal Transportation Database for Beef Cattle
Currently, there are inaccuracies in the energy use and greenhouse gas emission estimates of cattle transport reported by LCA studies because of their simplistic assumptions. The purpose of this database is to provide the necessary data for accurate estimation of the energy use and greenhouse gas emissions associated with cattle transport. The database has 28 different trailers under three categories namely pot belly, gooseneck, and bumper pull. It describes space available (length and width), maximum weight allowed in the trailer, along with a compatible vehicle that can haul the trailer. Gross vehicle weight, maximum payload allowed, and fuel use are available for the compatible vehicle. Using this database one can directly identify the number of cattle of a particular weight category that can be transported in a particular trailer-vehicle combination. This database also helps to identify economical and eco-friendly ways to transport cattle.
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.
Data from: Quality controlled research weather data – USDA-ARS, Bushland, Texas
The dataset contains 15-minute mean weather data from the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU) research weather station, Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL) for all days in 2016. The data are from sensors deployed at standard heights over grass that is irrigated and mowed during the growing season to reference evapotranspiration standards.
Feedstock Readiness Level Evaluations Summary Table v4.1
The table in this dataset collates the results of the FSRL evaluations listed under the Farm2Fly Ag Data Commons datasets to enable users to quickly identify, review, and compare available evaluations. Feedstock readiness level evaluations are performed for a specific feedstock-conversion process combination and for a particular region. FSRL evaluations complement evaluations of Fuel Readiness Level (FRL) and environmental progress.
Feedstock Readiness Level Evaluations Summary Table v4.0
The table in this dataset collates the results of the FSRL evaluations listed under the Farm2Fly Ag Data Commons datasets to enable users to quickly identify, review, and compare available evaluations. Feedstock readiness level evaluations are performed for a specific feedstock-conversion process combination and for a particular region. FSRL evaluations complement evaluations of Fuel Readiness Level (FRL) and environmental progress.
- 2x csv
NEWT: National Extension Web-mapping Tool
National Extension Web-mapping Tool (or NEWT), is the key in efforts to make spatial data available within the Cooperative Extension System. NEWT requires no GIS experience to use. NEWT provides access to relevant spatial data at a variety of scales (national, state, county) in useful formats (maps, tables, graphs),
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.
Data from: Chromosome-level genome assembly and transcriptome of the green alga Chromochloris zofingiensis illuminates astaxanthin production
For genome assembly of *C. zofingiensis* strain SAG 211–14, we used a hybrid approach blending short reads (Illumina), long reads (Pacific Biosciences of California), and whole-genome optical mapping (OpGen) (SI Appendix, SI Text and Datasets S1–S19, and refer to SI Appendix, Datasets Key). The combined power of these approaches yielded a high-quality haploid nuclear genome of *C. zofingiensis* of ∼58 Mbp distributed over 19 chromosomes (Fig. 2) in the tradition of model organism projects, as opposed to the fragmentary “gene-space” assemblies typical of modern projects using high-throughput methods and associated software. Approximately 99% of reads from the Illumina genomic libraries were accounted for, and nonplaceholder chromosomal sequence covers ∼94% of the optical map. Because no automated pipeline was found able to achieve the desired quality, methods are described in SI Appendix, SI Text.