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Ag Data Commons migration begins October 18, 2023

The Ag Data Commons is migrating to a new platform – an institutional portal on Figshare. Starting October 18 the current system will be available for search and download only. Submissions will resume after the launch of our portal on Figshare in November. Stay tuned for details!

Data from: Plant Tissue Characteristics of Miscanthus x giganteus v2

    As part of a study identifying relationships between environmental variables and insect distributions within a bioenergy crop, giant miscanthus (Miscanthus x giganteus) samples were collected in October 2016 at 33 locations within a field in southeast Georgia, USA. This dataset describes the chemical composition of giant miscanthus leaves and stems including the total carbon (TC) and nitrogen (TN) content, total macro- and micronutrients.

    Data from: Plant Tissue Characteristics of Miscanthus x giganteus

      As part of a study identifying relationships between environmental variables and insect distributions within a bioenergy crop, giant miscanthus (Miscanthus x giganteus) samples were collected in October 2016 at 33 locations within a field in southeast Georgia, USA. This dataset describes the chemical composition of giant miscanthus leaves and stems including the total carbon (TC) and nitrogen (TN) content, total macro- and micronutrients.

      Data from: Predicting spatial-temporal patterns of diet quality and large herbivore performance using satellite time series

        Analysis-ready tabular data from "Predicting spatial-temporal patterns of diet quality and large herbivore performance using satellite time series" in Ecological Applications, Kearney et al., 2021. Data is tabular data only, summarized to the pasture scale. Weight gain data for individual cattle and the STARFM-derived Landsat-MODIS fusion imagery can be made available upon request.

        Kellogg Biological Station (KBS) Long Term Ecological Research (LTER) Data Catalog

        NAL Geospatial Catalog
          The Kellogg Biological Station (KBS) Long Term Ecological Research (LTER) Data Catalog is a collection of data resources, including data sets, aerial photos, satellite imagery, GIS data, and national LTER network-wide data. You are welcome to examine and use the data as you wish for research and educational needs. However, data are copyrighted and use in a publication requires permission as detailed in KBS LTER's terms of use, which can be found at http://lter.kbs.msu.edu/data/terms-of-use/

          Kellogg Soil Survey Laboratory (KSSL) POX-C dataset

            Forty two samples were selected from the Kellogg Soil Survey Laboratory (KSSL) archive. The soils (41) were taken from the A horizon except for one sample that came from an O horizon. The samples represented 9 of the 12 US soil Orders, including Mollisols (23), Alfisols (5), Ultisols (5), Andisols (2), Entisols (2), Inceptisols (2), Aridisols (1), Histosols (1) and Vertisols (1). The soils varied widely in SOC (3.0 – 288.4 g kg-1; mean 31 g kg-1), pH (4.3 – 8.5; mean 6.2) and clay content (3.6 – 47.0%; mean 21.5%) The geographic origin of the selected samples and the distribution of SOC concentrations, clay contents and pH values are in the sample selected materials.

            RZWQM2

              Root Zone Water Quality Model 2 (RZWQM2) is a whole-system model for studying crop production and environmental quality under current and changing climate conditions. It emphasizes the effects of agricultural management practices on physical, chemical and biological processes. RZWQM2 is a one-dimensional model with a pseudo 2-dimensional drainage flow. Crop simulation options include the generic plant growth model, DSSAT-CSM 4.0 and HERMES SUCROS models. It also can simulate surface energy balance with components from the SHAW model and water erosion from the GLEAMS model. An automated parameter estimation algorithm (PEST) was added to RZWQM2 for objective model calibration and uncertainty analysis.

              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.