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"title": "ISIMIP3a landuse input data",
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"description": "The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a consistent set of climate impact data across sectors and scales. It also provides a unique opportunity for considering interactions between climate change impacts across sectors through consistent scenarios.<br>The ISIMIP3a part of the third simulation round is dedicated to i) impact model evaluation and improvement and ii) detection and attribution of observed impacts according to the framework of IPCC AR5 Working Group II Chapter 18. To this end all simulations are driven by observed socio-economic information combined with either observed (factual) climate data or a detrended (counterfactual) version of the observed climate allowing for the generation of a “no climate change” baseline.<br>This data set provides annual maps of various land use categories. In particular it gives annual maps of both rainfed and irrigated areas of total croplands, of 5 crop categories (C3 annual, C3 perennial, C4 annual, C4 perennial and C3 nitrogen fixing crops) and of 15 crop types/categories (C3 annual disaggregated into: rapeseed, rice, temperate cereals, temperate roots, tropical roots, sunflower, others C3 annual; C3 perennial: (no further disaggregation); C3 nitrogen-fixing disaggregated into: groundnut, pulses, soybean, others C3 nitrogen-fixing; C4 annual disaggregated into: maize, tropical cereals; C4 perennial: sugarcane). Furthermore, maps of pastures, managed rangelands and urban areas are provided.<br>Data is available for the time period: historical (1860-2018).<br>Version 1.1 of this dataset adds the 1901soc scenario with fixed year-1901 direct human influences.",
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"description": "The land use data here originates from the historic LUH2 data set (Hurtt et al, 2020, see also https://luh.umd.edu), which in turn is based on HYDE 3.2 (Klein-Goldewijk, 2016), and the Monfreda data set (Monfreda et al, 2008). All variables except for the 15 crops variables were obtained by interpolation from LUH2. The 15 crop variables distribute the coarser 5 crop types according to the Monfreda data set, which gives spatial distribution of 175 different crops in the year 2000, thereby obtaining the 15 crop types maps.",
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"citation": "Klein Goldewijk, Dr. ir. C.G.M. (Utrecht University) (2016): A historical land use data set for the Holocene; HYDE 3.2 (replaced). https://doi.org/10.17026/dans-znk-cfy3",
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"citation": "Klein Goldewijk, K., Beusen, A., Doelman, J. and Stehfest, E.: Anthropogenic land use estimates for the Holocene – HYDE 3.2, Earth System Science Data, 9(2), 927–953, 2017. https://doi.org/10.5194/essd-9-927-2017",
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