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  • 1
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    PANGAEA
    Publication Date: 2024-04-20
    Description: Here we present data on vegetation and climate conditions in Syria. The data includes the temperature, precipitation, cropland EVI and natural vegetation EVI for each month in Syria from 2001 to 2018.
    Keywords: climate; DATE/TIME; Enhanced vegetation index; MULT; Multiple investigations; Precipitation, monthly total; Syria; Temperature, air, monthly mean; vegetation
    Type: Dataset
    Format: text/tab-separated-values, 864 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-04-20
    Description: Here we present data on vegetation and climate conditions in Syria, including some nc files. The nc files describe the spatial status of Syria, including land cover in 2010, trends in temperature and precipitation, EVI mean and trend, EVI residual analysis and water use efficiency. Detailed information can be found in the paper by Chen et al.
    Keywords: climate; MULT; Multiple investigations; Syria; vegetation
    Type: Dataset
    Format: application/zip, 190.3 kBytes
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2024-04-20
    Description: High-resolution historical land cover datasets are essential not only for simulations of climate and environmental dynamics, but also for projections of future land use, food security, climate and biodiversity. However, widely used global datasets are developed for continental-to-global scale analysis and simulations and the accuracy of global datasets depends on the verification of more regional reconstruction results. Based on the collected statistics of cropland area of each administrative unit (Parish/County/Municipality/Province) in Scandinavia (Sweden, Norway and Denmark) from 1690 to 2015 (Time points are 1690, 1750, 1810, 1875, 1810, 1930, 1950, 1980, 1999 and 2015), the cropland area at the administrative unit level was allocated into 30-arc second grid cells.
    Keywords: 30-arc second; Cropland area; MULT; Multiple investigations; Scandinavia; Statistics
    Type: Dataset
    Format: application/vnd.rar, 9.1 MBytes
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2024-04-20
    Description: High-resolution historical land cover datasets are essential not only for simulations of climate and environmental dynamics, but also for projections of future land use, food security, climate and biodiversity. However, widely used global datasets are developed for continental-to-global scale analysis and simulations and the accuracy of global datasets depends on the verification of more regional reconstruction results. Based on the collected cropland area of each administrative unit (Parish/County/Municipality/Province) in Scandinavia (Sweden, Norway and Denmark) from statistics and previous studies, the cropland area during 1690-1999 (Time points are 1690, 1750, 1810, 1875, 1810, 1930, 1950, 1980 and 1999) at the administrative unit level was allocated into 1km grid cells.
    Keywords: 30-arc second; Cropland area; MULT; Multiple investigations; Scandinavia; Statistics
    Type: Dataset
    Format: application/zip, 7.3 MBytes
    Location Call Number Limitation Availability
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