Data from: Distance-based decision-making in oviposition by Tribolium castaneum Herbst (Coleoptera: Tenebrionidae) on low- and no-gluten flours
Red flour beetles have been known to readily infest wheat flour but their likelihood to choose other types of flours is unknown. Red flour beetles will lay eggs in many types of flours but their choice to infest low- and no-gluten flours remains to be tested. Here we test a panel of 14 different commercially available flours in three different choice assays. We find that the beetles lay similar amounts of eggs in buckwheat, teff, millet, rice, and rye flours but that they show significant declines in preference for sorghum, potato, quinoa, cassava, oat, amaranth, garbanzo, spelt, and corn flours.
- 3x csv
Data from: Chapter 5: Energy Use in Agriculture. U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2018
The report 'U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2018' serves to estimate U.S. GHG emissions for the agricultural sector, to quantify uncertainty in emission estimates, and to estimate the potential of agriculture to mitigate U.S. GHG emissions. This dataset contains tabulated data from the figures and tables presented in Chapter 5, Energy Use in Agriculture, of the report. Data are presented for carbon dioxide emissions from on-farm energy use. Please refer to the report for full descriptions of and notes on the data.
Data from: Chapter 4: Carbon Stocks & Stock Changes in U.S. Forests. U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2018
The report 'U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2018' serves to estimate U.S. GHG emissions for the agricultural sector, to quantify uncertainty in emission estimates, and to estimate the potential of agriculture to mitigate U.S. GHG emissions. This dataset contains tabulated data from the figures and tables presented in Chapter 4, Carbon Stocks & Stock Changes in U.S. Forests, of the report. Data are presented for above and below-ground carbon stocks and stock changes.
Data from: Chapter 3: Cropland Agriculture. U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2018
The primary greenhouse gas (GHG) sources for agriculture are nitrous oxide (N2O) emissions from cropped and grazed soils, methane (CH4) emissions from ruminant livestock production and rice cultivation, and CH4 and N2O emissions from managed livestock waste. This dataset contains tabulated data from the figures and tables presented in Chapter 3, Cropland Agriculture, of the report. Data are presented for Cropland Soils (N2O), Rice Cultivation + Residue Burning (CH4 + N2O), and Agricultural Soil Carbon and Amendments (CO2).
Data from: Chapter 2- Livestock and Grazed Lands Emissions. U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2018
The primary greenhouse gas (GHG) sources for agriculture are nitrous oxide (N2O) emissions from cropped and grazed soils, methane (CH4) emissions from ruminant livestock production and rice cultivation, and CH4 and N2O emissions from managed livestock waste. This dataset contains tabulated data from the figures and tables presented in Chapter 2, Livestock and Grazed Lands Emissions, of the report. This chapter covers carbon dioxide, methane, and nitrous oxide emissions and removals due to enteric fermentation, animal waste management, and land use for confined and grazed animals.
Data from: U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2018
The primary greenhouse gas (GHG) sources for agriculture are nitrous oxide (N2O) emissions from cropped and grazed soils, methane (CH4) emissions from ruminant livestock production and rice cultivation, and CH4 and N2O emissions from managed livestock waste. This dataset contains zipped, tabulated data from the figures and tables, and maps of the entire report. Data are presented for Cropland Soils (N2O), Enteric Fermentation (CH4), Managed Livestock Waste (CH4 + N2O), Grazed Lands (CH4 + N2O), Rice Cultivation + Residue Burning (CH4 + N2O), Energy Use, Forests, Harvested Wood, Urban Trees, and Agricultural Soils.
- 5x zip
Global Land Analysis & Discovery (GLAD) Global Cropland Extent
This study utilized 250m MODIS (MODerate Resolution Imaging Spectroradiometer) data to map global production cropland extent. A set of multi-year MODIS metrics incorporating four MODIS land bands, NDVI (Normalized Difference Vegetation Index) and thermal data was employed to depict cropland phenology over the period 2000-2008. The probability and discrete cropland/non-cropland data are available for download by MODIS tile at the full ~250m resolution or as global mosaics at ~1km resolution.
iHUB: Collaborative International Network for Ionomics (PiiMS)
Improving our understanding of how plants take up, transport and store their nutrient and toxic elements, collectively known as the ionome, will benefit human health and the natural environment. Here you will find curated ionomic data on many thousands of plant samples freely available to the public.