Dataset has been retrieved on the Copernicus Climate data Store (https://cds.climate.copernicus.eu/#!/home) and is meant to be used for teaching purposes only. Data retrieved were split per year and concatenated to create two separate files. Then these two files were converted from GRIB format to netcdf using xarray (http://xarray.pydata.org/en/stable/). This dataset is used in the Galaxy training on "Visualize Climate data with Panoply in Galaxy". See https://training.galaxyproject.org/ (topic: climate) for more information. The python code below show how it has been retrieved on CDS: import cdsapi c = cdsapi.Client() c.retrieve( 'ecv-for-climate-change', { 'variable': [ 'precipitation', 'sea_ice_cover', 'surface_air_temperature', ], 'product_type': 'monthly_mean', 'time_aggregation': '1_month', 'year': [ '1979', '2018', ], 'month': [ '01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12', ], 'origin': 'era5', 'format': 'zip', }, 'download.zip')