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University of Minnesota

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  • The dataset contains annual global plant respiration (and related diagnostics, such as Net Primary Productivity, Gross Primary Productivity and soil respiration), applicable for pre-industrial times (taken as year 1860) through to the end of the 21st Century (year 2100). The spatial resolution of the data is 2.5 degrees latitude x 3.75 degrees longitude. These diagnostics are outputs from the Joint UK Land Environment Simulator (JULES land surface model) under four different approaches to calcluate leaf respiration. Each of four sets contains a total of 34 runs, each driven by a different CMIP5 model climate pattern, using the Integrated Model Of Global Effects of climatic aNomalies (IMOGEN) system. These are for a "business-as-usual" approach to fossil fuel usage, as the Representative Concentration Pathway scenario RCP8.5. These simulations form the basis for new research paper by Huntingford et al (2017, under review). Full details about this dataset can be found at https://doi.org/10.5285/24489399-5c99-4050-93ee-58ac4b09341a

  • Projections of global changes in water scarcity with the current extent of maize, rice, wheat, vegetables, pulses and fruit production commodities were combined to identify the potential country level vulnerabilities of cropland land to water scarcity in 2050. The data relate to an analysis of the impact changes in water availability will have on maize, rice, wheat, vegetables, pulses and fruit production commodities availability in 2050. Full details about this dataset can be found at https://doi.org/10.5285/84b3b580-acbf-487d-bf44-c21bc2cf12ee

  • This dataset contains the percentage of the total pasture area in each country classified as vulnerable to water scarcity (annual run-off is declining and the water shed is defined as water scarce in 2050). Projections of global changes in water scarcity with the current extent of pasture land were combined to identify the potential country level vulnerabilities of pasture land to water scarcity in 2050. The data relate to an analysis of the impact changes in water availability will have on pasture availability in 2050. Full details about this dataset can be found at https://doi.org/10.5285/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f

  • [This dataset is embargoed until May 20, 2025]. The greenhouse gas (GHG) emissions represent the amount of greenhouse gases (nitrous oxide, methane and carbon dioxide) emissions associated with the annual production of seven livestock commodities, considering the following processes: enteric fermentation, manure deposition on grassland, manure management on farm; application of manure on feed crops and application of synthetic fertiliser on grassland and feed crops, plus other cropland emissions for feed crops (e.g. methane from rice cultivation). We also provide the greenhouse gas emission intensities, which indicate the amount of greenhouse gas emissions per unit of mass of animal products produced annually. The considered livestock commodities are: bovine meat and milk, small ruminant (sheep and goat) meat and milk, pig meat, poultry (chicken, ducks) meat, and poultry eggs. The resolution is 5 arc minute, across the global land area, for the period of 1997-2003. Full details about this dataset can be found at https://doi.org/10.5285/76f8c5c0-6dde-407a-9710-2bca2e041512

  • This dataset contains a mosquito species table with counts for adults and larvae. Samples are from twelve UK wetland sites, sampled between April 2017 and September 2018. A map included in the documentation included with this data shows site locations, which include both coastal and inland wetlands, and range from Devon to Kent and from Lincolnshire to Dorset. Samples were collected by staff from University of Greenwich and the UK Health Security Agency: collaborators in a NERC-funded project (NE/NO13379/1), part of the Valuing Nature Programme. We found a total of 19 mosquito species: • 10 Aedes • 3 Anopheles • 3 Culisseta • 2 Culex • 1 Coquillettidia. Full details about this dataset can be found at https://doi.org/10.5285/1b5a8827-4329-4c20-85f8-0979998b3c74