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        },
    },
    "DS_49": {
        "id": 49,
        "layer_type": "vector",
        "data_type": "numerical",
        "json_params": {
            "parameters": {"data.ds_id": 49, "start_at": "'2018-01-01'"},
            "row_limit": 100000,
        },
        "title": "Energy dependence",
        "shared_id": "t2020_rd320",
        "legend": {
            "style": {"colors": {"color_palet": "viridis", "nb_of_colors": 12}},
            "legend_variable": {
                "variable": "Natural gas",
                "units": "Percentage",
                "min": -1822.0,
                "max": 110.0,
            },
        },
    },
    "DS_50": {
        "id": 50,
        "layer_type": "vector",
        "data_type": "numerical",
        "json_params": {
            "parameters": {"data.ds_id": 50, "start_at": "'2018-01-01'"},
            "row_limit": 100000,
        },
        "title": "Regional GDP",
        "shared_id": "tgs00004",
        "legend": {
            "style": {"colors": {"color_palet": "ch:s=-.2,r=.6", "nb_of_colors": 12}},
            "legend_variable": {
                "variable": "default",
                "units": "Million purchasing power standards (PPS, EU27 from 2020)",
                "min": 1038.0,
                "max": 651258.0,
            },
        },
    },
}

ea54f0e65d135e23bc5548739e4d5d4df5ff40c0
<mask token>

DATASETS_DIC = {'DS_1': {'id': 1, 'layer_type': 'raster', 'data_type':
    'numerical', 'json_params': {'parameters': {'data.ds_id': 1, 'variable':
    "'Monthly average global irradiance on a horizontal surface (W/m2), period 2005-2015'"
    , 'start_at': "'01-01-2099  00:00:00'"}, 'row_limit': 100000}, 'legend':
    {'style': {'colors': {'color': (1, 0, 0), 'color_palet': 'Greys_r',
    'nb_of_colors': 12}}, 'legend_variable': {'variable':
    'Monthly average global irradiance on a horizontal surface (W/m2), period 2005-2015: W/m2'
    , 'units': 'W/m2', 'min': 13.9, 'max': 284.6}}, 'title':
    'PVGIS: Solar Radiation Data', 'shared_id': 'PVGIS'}, 'DS_2': {'id': 2,
    'layer_type': 'vector', 'data_type': 'numerical', 'json_params': {
    'parameters': {'data.ds_id': 2}, 'row_limit': 100000}, 'title':
    'JRC: Geothermal Power Plant Dataset', 'shared_id': 'jrc-10128-10001',
    'legend': {'legend_variable': {'variable': 'gross_cap_ele', 'units':
    'MW', 'min': 0.0, 'max': 275.0}}}, 'DS_3': {'id': 3, 'layer_type':
    'vector', 'data_type': 'numerical', 'json_params': {'parameters': {
    'data.ds_id': 3}, 'row_limit': 100000}, 'title':
    'JRC: Hydro-power plants database', 'shared_id': 'hydro-power-database',
    'legend': {'legend_variable': {'variable': 'installed_capacity_MW',
    'units': 'MW', 'min': 0.0, 'max': 2070.0}}}, 'DS_4': {'id': 4,
    'layer_type': 'vector', 'data_type': 'numerical', 'json_params': {
    'parameters': {'data.ds_id': 4}, 'row_limit': 100000}, 'title':
    'JRC: Open Power Plants Database', 'shared_id': 'JRC-PPDB-OPEN',
    'legend': {'legend_variable': {'variable': 'capacity_g', 'units': 'MW',
    'min': 0.0, 'max': 4690.0}}}, 'DS_5': {'id': 5, 'layer_type': 'vector',
    'data_type': 'numerical', 'json_params': {'parameters': {'data.ds_id': 
    5, 'start_at': "'01/01/2019  00:00:00'", 'fields': {'Market_Sector':
    'Total'}}, 'row_limit': 100000}, 'title':
    'EEA: Share of gross final consumption of renewable energy sources',
    'shared_id': 'RES_proxies_EEA', 'legend': {'style': {'colors': {
    'color_palet': 'crest', 'nb_of_colors': 12}}, 'legend_variable': {
    'variable': 'Total', 'units': '%', 'min': 0.05, 'max': 0.56}}}, 'DS_6':
    {'id': 6, 'layer_type': 'vector', 'data_type': 'numerical',
    'json_params': {'parameters': {'data.ds_id': 6, 'start_at':
    "'01/01/2010  00:00:00'"}, 'row_limit': 100000}, 'title':
    'Energy consumption in households', 'shared_id': 'nrg_d_hhq', 'legend':
    {'style': {'colors': {'color_palet': 'magma', 'nb_of_colors': 12}},
    'legend_variable': {'variable':
    'Electricity : Final consumption - other sectors - households - energy use'
    , 'units': 'Gigawatt-hour', 'min': 815, 'max': 161520}}}, 'DS_9': {'id':
    9, 'layer_type': 'vector', 'data_type': 'numerical', 'json_params': {
    'parameters': {'data.ds_id': 9, 'start_at': "'01/01/2010  00:00:00'",
    'level': '{ country }'}, 'row_limit': 100000}, 'title':
    'Eurostat: Degree days', 'shared_id': 'nrg_chddr2_m', 'legend': {
    'legend_variable': {'variable': 'Heating degree days', 'units':
    'Number', 'min': 124.0, 'max': 1022.0}}}, 'DS_11': {'id': 11,
    'layer_type': 'vector', 'data_type': 'numerical', 'json_params': {
    'parameters': {'data.ds_id': 11, 'start_at': "'01/01/2010  00:00:00'",
    'fields': {'action': 'Renewable energy technologies'}}, 'row_limit': 
    100000}, 'title':
    'SETIS: Private R&I investment in energy technologies', 'shared_id':
    'jrc-10115-10001', 'legend': {'legend_variable': {'variable':
    'inventions', 'units': '-', 'min': 0.0, 'max': 844.0}}}, 'DS_14': {'id':
    14, 'layer_type': 'raster', 'data_type': 'numerical', 'json_params': {
    'parameters': {'data.ds_id': 14, 'start_at': "'01/01/1970 00:00:00'",
    'variable': "'Max 1-day PR'"}, 'row_limit': 100000}, 'legend': {'style':
    {'colors': {'color': (1, 0, 0), 'color_palet': 'Greys_r',
    'nb_of_colors': 12}}, 'legend_variable': {'variable': 'Max 1-day PR',
    'units': 'mm', 'min': 0, 'max': 875.871}}, 'title':
    'Climate Extreme Indices', 'shared_id': 'PANGAEA.898014'}, 'DS_15': {
    'id': 15, 'layer_type': 'raster', 'data_type': 'numerical',
    'json_params': {'parameters': {'data.ds_id': 15, 'start_at':
    "'01/01/2018  00:00:00'", 'variable': "'10m_u_component_of_wind'"},
    'row_limit': 100000}, 'legend': {'style': {'colors': {'color': (1, 0, 0
    ), 'color_palet': 'Greys_r', 'nb_of_colors': 12}}, 'legend_variable': {
    'variable': '10m_u_component_of_wind', 'units': 'm s**-1', 'min': -
    14.06, 'max': 22.31}}, 'title':
    'Copernicus: hourly global climate and weather data', 'shared_id':
    'cds.adbb2d47'}, 'DS_16': {'id': 16, 'layer_type': 'vector',
    'data_type': 'numerical', 'json_params': {'parameters': {'data.ds_id': 
    16, 'start_at': "'01/01/2014  00:00:00'"}, 'row_limit': 100000},
    'title': 'EMHIRES: Wind power generation', 'shared_id':
    'jrc-emhires-wind-generation-time-series', 'legend': {'style': {
    'colors': {'color_palet': 'viridis', 'nb_of_colors': 12}},
    'legend_variable': {'variable': 'installed wind power capacity',
    'units': 'MW', 'min': 0.0, 'max': 1.0}}}, 'DS_17': {'id': 17,
    'layer_type': 'vector', 'data_type': 'numerical', 'json_params': {
    'parameters': {'data.ds_id': 17, 'start_at': "'01/01/2014  00:00:00'"},
    'row_limit': 100000}, 'title': 'EMHIRES: Solar power generation',
    'shared_id': 'jrc-emhires-solar-generation-time-series', 'legend': {
    'style': {'colors': {'color_palet': 'rocket_r', 'nb_of_colors': 12}},
    'legend_variable': {'variable': 'installed PV power capacity', 'units':
    'MW', 'min': None, 'max': None}}}, 'DS_18': {'id': 18, 'layer_type':
    'vector', 'data_type': 'numerical', 'json_params': {'parameters': {
    'data.ds_id': 18, 'start_at': "'01/01/2012  00:00:00'"}, 'row_limit': 
    100000}, 'title': 'Energy Efficiency Indicator', 'shared_id':
    'GTF-energy-efficiency', 'legend': {'style': {'colors': {'color_palet':
    'light:b', 'nb_of_colors': 12}}, 'legend_variable': {'variable':
    'Energy intensity level of primary energy ', 'units': 'MJ/2011 USD PPP',
    'min': 0.39, 'max': 42.0}}}, 'DS_19': {'id': 19, 'layer_type': 'vector',
    'data_type': 'numerical', 'json_params': {'parameters': {'data.ds_id': 
    19, 'start_at': "'01/01/2012  00:00:00'", 'fields': {'Sector':
    'Power Industry'}}, 'row_limit': 100000}, 'title':
    'EDGAR CO_ emissions', 'shared_id': 'JRC-EDGAR-FT', 'legend': {
    'legend_variable': {'variable': 'Emissions', 'units': 'Mt CO2/year',
    'min': 0.0, 'max': 4155}}}, 'DS_20': {'id': 20, 'layer_type': 'raster',
    'data_type': 'numerical', 'json_params': {'parameters': {'data.ds_id': 
    20, 'start_at': "'01/01/2019  00:00:00'"}, 'row_limit': 100000},
    'legend': {'style': {'colors': {'color': (1, 0, 0), 'color_palet':
    'Greys_r', 'nb_of_colors': 12}}, 'legend_variable': {'variable':
    'relative_humidity', 'units': '%', 'min': 11, 'max': 113}}, 'title':
    'Copernicus: hourly data on pressure levels', 'shared_id':
    'cds.bd0915c6'}, 'DS_21': {'id': 21, 'layer_type': 'raster',
    'data_type': 'numerical', 'json_params': {'parameters': {'data.ds_id': 
    21, 'intersecting':
    'POLYGON((2.276722801998659 48.889240956946985,2.2747270124557986 48.835409141414466,2.390482805942611 48.847230841511724,2.3445796464564523 48.91023278929048,2.276722801998659 48.889240956946985))'
    }, 'row_limit': 100000}, 'legend': {'style': {'colors': {'color': (1, 0,
    0), 'color_palet': 'Greys_r', 'nb_of_colors': 12}}, 'legend_variable':
    {'variable': 'undefined', 'units': 'undefined', 'min': 21.7069, 'max': 
    165.7}}, 'title': 'European Digital Elevation Model (EU-DEM)',
    'shared_id': 'EU-DEM'}, 'DS_22': {'id': 22, 'layer_type': 'vector',
    'data_type': 'numerical', 'json_params': {'parameters': {'data.ds_id': 
    22, 'start_at': "'01/01/2018  00:00:00'"}, 'row_limit': 100000},
    'title': 'Eurostat: Energy efficiency indicator', 'shared_id':
    'nrg_ind_eff', 'legend': {'legend_variable': {'variable':
    'Final energy consumption (Europe 2020-2030)', 'units':
    'Million tonnes of oil equivalent', 'min': 0.65, 'max': 216.0}}},
    'DS_24': {'id': 24, 'layer_type': 'raster', 'data_type': 'numerical',
    'json_params': {'parameters': {'data.ds_id': 24, 'start_at':
    "'01/01/2099  00:00:00'", 'intersecting':
    'POLYGON((10.276722801998659 48.889240956946985,10.2747270124557986 48.835409141414466,10.390482805942611 48.847230841511724,10.3445796464564523 48.91023278929048,10.276722801998659 48.889240956946985))'
    }, 'row_limit': 100000}, 'legend': {'style': {'colors': {'color': (1, 0,
    0), 'color_palet': 'Greys_r', 'nb_of_colors': 12}}, 'legend_variable':
    {'variable':
    'Longterm monthly average of potential photovoltaic electricity production'
    , 'units': 'kWh/kWp', 'min': 34.224, 'max': 62.403}}, 'title':
    'Photovoltaic power potential', 'shared_id':
    'world-solar-irradiation-and-pv-power-potential-map'}, 'DS_27': {'id': 
    27, 'layer_type': 'vector', 'data_type': 'numerical', 'json_params': {
    'parameters': {'data.ds_id': 27, 'start_at': "'01/01/2012  00:00:00'",
    'fields': {'parameter': 'Dry Mass', 'potential': 'Base potential'}},
    'row_limit': 100000}, 'title': 'S2BIOM: Biomass supply', 'shared_id':
    'S2BIOM', 'legend': {'style': {'colors': {'color_palet':
    'dark:salmon_r', 'nb_of_colors': 12}}, 'legend_variable': {'variable':
    'Base potential : Sawdust from sawmills from conifers', 'units':
    'kton dry mass', 'min': 4.94441691195059, 'max': 47.5166700166629}}},
    'DS_28': {'id': 28, 'layer_type': 'vector', 'data_type': 'numerical',
    'json_params': {'parameters': {'data.ds_id': 28, 'start_at':
    "'01/01/1945  00:00:00'", 'fields': {'bage': '1945 - 1969', 'btype':
    'Single family- Terraced houses', 'detail': 'insulation', 'sector':
    'Residential sector'}}, 'row_limit': 100000}, 'title':
    'HotMaps: Building stock analysis', 'shared_id':
    'hotmaps-building-stock', 'legend': {'style': {'colors': {'color_palet':
    'vlag', 'nb_of_colors': 12}}, 'legend_variable': {'variable':
    'ROOF | construction material | None', 'units': 'dimensionless', 'min':
    0.66, 'max': 1.0}}}, 'DS_29': {'id': 29, 'layer_type': 'vector',
    'data_type': 'numerical', 'json_params': {'parameters': {'data.ds_id': 
    29, 'start_at': "'2012-01-01'", 'fields': {'Fuel': 'gas', 'Type':
    'space heating', 'Scenario': 'current', 'Supertype': 'Residential',
    'Technology': 'Gas boiler or stove'}}, 'row_limit': 100000}, 'title':
    'H2020 SET-Nav: Detailed scenario results for energy demand by the INVERT-EE-Lab model '
    , 'shared_id': 'SET-Nav', 'legend': {'style': {'colors': {'color_palet':
    'icefire', 'nb_of_colors': 12}}, 'legend_variable': {'variable':
    'final energy demand', 'units': 'GWh', 'min': 0.0, 'max': 237713.0}}},
    'DS_30': {'id': 30, 'layer_type': 'vector', 'data_type': 'numerical',
    'json_params': {'parameters': {'data.ds_id': 30, 'start_at':
    "'2012-01-01'", 'fields': {'Sector': 'Industry', 'Scenario': 'CP',
    'Sub-sector': 'TOTAL Industry', 'Energy type': 'Final Energy',
    'Energy Carrier': 'Total'}}, 'row_limit': 100000}, 'title':
    'Fuel consumption and technologies used in the heating - cooling sector',
    'shared_id': 'GISCO-GEOSTAT', 'legend': {'style': {'colors': {
    'color_palet': 'flare', 'nb_of_colors': 12}}, 'legend_variable': {
    'variable': 'Final Energy | Heating', 'units': 'TWh', 'min': 0.11,
    'max': 504.0}}}, 'DS_31': {'id': 31, 'layer_type': 'raster',
    'data_type': 'categorical', 'json_params': {'parameters': {'data.ds_id':
    31, 'variable': "'Climate zones'"}, 'row_limit': 100000}, 'legend': {
    'style': {'colors': {'color': (1, 0, 0), 'color_palet': 'Greys_r',
    'nb_of_colors': 12}, 'classes': {(0): [(0, 0, 255), 'colder climate'],
    (1): [(0, 255, 0), 'average climate'], (2): [(255, 0, 0),
    'warmer climate']}}, 'legend_variable': {'variable': 'Climate zones',
    'units': '-', 'min': None, 'max': None}}, 'title': 'INTERREG GRETA',
    'shared_id': 'potential_geothermal_raster'}, 'DS_33': {'id': 33,
    'layer_type': 'raster', 'data_type': 'numerical', 'json_params': {
    'parameters': {'data.ds_id': 33, 'intersecting':
    'POLYGON((2.276722801998659 48.889240956946985,2.2747270124557986 48.835409141414466,2.390482805942611 48.847230841511724,2.3445796464564523 48.91023278929048,2.276722801998659 48.889240956946985))'
    }, 'row_limit': 100000}, 'legend': {'style': {'colors': {'color': (1, 0,
    0), 'color_palet': 'Greys_r', 'nb_of_colors': 12}}, 'legend_variable':
    {'variable': 'undefined', 'units': 'undefined', 'min': 0, 'max': 324}},
    'title': 'Building Height', 'shared_id': 'copernicus-building-height'},
    'DS_35': {'id': 35, 'layer_type': 'raster', 'data_type': 'numerical',
    'json_params': {'parameters': {'data.ds_id': 35, 'intersecting':
    'POLYGON((2.29 48.88,2.29 48.87,2.3 48.87,2.3 48.88,2.29 48.88))'},
    'row_limit': 100000}, 'legend': {'style': {'colors': {'color': (1, 0, 0
    ), 'color_palet': 'Greys_r', 'nb_of_colors': 12}}, 'legend_variable': {
    'variable': 'undefined', 'units': 'undefined', 'min': 30, 'max': 50}},
    'title': 'European Settlement Map', 'shared_id':
    'copernicus-european-settlement-map'}, 'DS_42': {'id': 42, 'layer_type':
    'vector', 'data_type': 'numerical', 'params':
    """{
                        "data.ds_id":42,
                        "level":" { country } "
                    }"""
    , 'json_params': {'parameters': {'data.ds_id': 42, 'level':
    ' { country } '}, 'row_limit': 100000}, 'title':
    'National Housing Census: type of living quarter by country',
    'shared_id': 'cens_11r', 'legend': {'style': {'colors': {'color_palet':
    'YlOrBr', 'nb_of_colors': 12}}, 'legend_variable': {'variable':
    'Non-residential buildings : Conventional dwellings', 'units': 'Number',
    'min': 0.0, 'max': 440340.0}}}, 'DS_43': {'id': 43, 'layer_type':
    'raster', 'data_type': 'numerical', 'json_params': {'parameters': {
    'data.ds_id': 43}, 'row_limit': 100000}, 'legend': {'style': {'colors':
    {'color': (1, 0, 0), 'color_palet': 'Greys_r', 'nb_of_colors': 12}},
    'legend_variable': {'variable':
    'Heat density map (final energy demand for heating and DHW) of buildings in EU28 + Switzerland, Norway and Iceland for the year 2015'
    , 'units': 'MWh/ha (MWh/10.000 m2)', 'min': 0.00142908, 'max': 3766.61}
    }, 'title': 'HotMaps: Heat demand density', 'shared_id':
    'hotmaps_heat_tot_curr_density'}, 'DS_45': {'id': 45, 'layer_type':
    'raster', 'data_type': 'numerical', 'json_params': {'parameters': {
    'data.ds_id': 45}, 'row_limit': 100000}, 'legend': {'style': {'colors':
    {'color': (1, 0, 0), 'color_palet': 'Greys_r', 'nb_of_colors': 12}},
    'legend_variable': {'variable':
    'Heated gross floor area density map of buildings in EU28 + Switzerland, Norway and Iceland for the year 2015'
    , 'units': 'm2/ha (m2/10.000 m2)', 'min': 0.0111452, 'max': 33658.4}},
    'title': 'HotMaps: Heated gross floor area density', 'shared_id':
    'hotmaps_gfa_tot_curr_density'}, 'DS_46': {'id': 46, 'layer_type':
    'vector', 'data_type': 'numerical', 'json_params': {'parameters': {
    'data.ds_id': 46, 'start_at': "'2018-01-01'", 'fields': {'Pollutant':
    'Carbon dioxide'}}, 'row_limit': 100000}, 'title':
    'OECD: Greenhouse gas emissions', 'shared_id': 'OECD.AIR_GHG', 'legend':
    {'style': {'colors': {'color_palet': 'Spectral', 'nb_of_colors': 12}},
    'legend_variable': {'variable':
    'Total  emissions excluding LULUCF | Carbon dioxide', 'units':
    'Tonnes of CO2 equivalent | Thousands', 'min': 3675.0, 'max': 5424882.0
    }}}, 'DS_47': {'id': 47, 'layer_type': 'vector', 'data_type':
    'numerical', 'json_params': {'parameters': {'data.ds_id': 47,
    'start_at': "'2018-01-01'"}, 'row_limit': 100000}, 'title':
    'Electricity prices for household consumers', 'shared_id':
    'nrg_pc_204_c', 'legend': {'style': {'colors': {'color_palet':
    'coolwarm', 'nb_of_colors': 12}}, 'legend_variable': {'variable':
    'Band DA : Consumption < 1 000 kWh : All taxes and levies included',
    'units': 'Kilowatt-hour', 'min': -0.027, 'max': 0.6}}}, 'DS_48': {'id':
    48, 'layer_type': 'vector', 'data_type': 'numerical', 'json_params': {
    'parameters': {'data.ds_id': 48, 'start_at': "'2018-01-01'"},
    'row_limit': 100000}, 'title': 'Expenditure per household on energy',
    'shared_id': 'nama_10_co3_p3', 'legend': {'style': {'colors': {
    'color_palet': 'crest', 'nb_of_colors': 12}}, 'legend_variable': {
    'variable': 'Electricity, gas and other fuels', 'units':
    'Current prices, million euro', 'min': 130.0, 'max': 66265.0}}},
    'DS_49': {'id': 49, 'layer_type': 'vector', 'data_type': 'numerical',
    'json_params': {'parameters': {'data.ds_id': 49, 'start_at':
    "'2018-01-01'"}, 'row_limit': 100000}, 'title': 'Energy dependence',
    'shared_id': 't2020_rd320', 'legend': {'style': {'colors': {
    'color_palet': 'viridis', 'nb_of_colors': 12}}, 'legend_variable': {
    'variable': 'Natural gas', 'units': 'Percentage', 'min': -1822.0, 'max':
    110.0}}}, 'DS_50': {'id': 50, 'layer_type': 'vector', 'data_type':
    'numerical', 'json_params': {'parameters': {'data.ds_id': 50,
    'start_at': "'2018-01-01'"}, 'row_limit': 100000}, 'title':
    'Regional GDP', 'shared_id': 'tgs00004', 'legend': {'style': {'colors':
    {'color_palet': 'ch:s=-.2,r=.6', 'nb_of_colors': 12}},
    'legend_variable': {'variable': 'default', 'units':
    'Million purchasing power standards (PPS, EU27 from 2020)', 'min': 
    1038.0, 'max': 651258.0}}}}

DATASETS_DIC = {
    "DS_1": {
        "id": 1,
        "layer_type": "raster",
        "data_type": "numerical",
        "json_params": {
            "parameters": {
                "data.ds_id": 1,
                "variable": "'Monthly average global irradiance on a horizontal surface (W/m2), period 2005-2015'",
                "start_at": "'01-01-2099  00:00:00'",
            },
            "row_limit": 100000,
        },
        "legend": {
            "style": {
                "colors": {
                    "color": (1, 0, 0),
                    "color_palet": "Greys_r",
                    "nb_of_colors": 12,
                }
            },
            "legend_variable": {
                "variable": "Monthly average global irradiance on a horizontal surface (W/m2), period 2005-2015: W/m2",
                "units": "W/m2",
                "min": 13.9,
                "max": 284.6,
            },
        },
        "title": "PVGIS: Solar Radiation Data",
        "shared_id": "PVGIS",
    },
    "DS_2": {
        "id": 2,
        "layer_type": "vector",
        "data_type": "numerical",
        "json_params": {"parameters": {"data.ds_id": 2}, "row_limit": 100000},
        "title": "JRC: Geothermal Power Plant Dataset",
        "shared_id": "jrc-10128-10001",
        "legend": {
            "legend_variable": {
                "variable": "gross_cap_ele",
                "units": "MW",
                "min": 0.0,
                "max": 275.0,
            }
        },
    },
    "DS_3": {
        "id": 3,
        "layer_type": "vector",
        "data_type": "numerical",
        "json_params": {"parameters": {"data.ds_id": 3}, "row_limit": 100000},
        "title": "JRC: Hydro-power plants database",
        "shared_id": "hydro-power-database",
        "legend": {
            "legend_variable": {
                "variable": "installed_capacity_MW",
                "units": "MW",
                "min": 0.0,
                "max": 2070.0,
            }
        },
    },
    "DS_4": {
        "id": 4,
        "layer_type": "vector",
        "data_type": "numerical",
        "json_params": {"parameters": {"data.ds_id": 4}, "row_limit": 100000},
        "title": "JRC: Open Power Plants Database",
        "shared_id": "JRC-PPDB-OPEN",
        "legend": {
            "legend_variable": {
                "variable": "capacity_g",
                "units": "MW",
                "min": 0.0,
                "max": 4690.0,
            }
        },
    },
    "DS_5": {
        "id": 5,
        "layer_type": "vector",
        "data_type": "numerical",
        "json_params": {
            "parameters": {
                "data.ds_id": 5,
                "start_at": "'01/01/2019  00:00:00'",
                "fields": {"Market_Sector": "Total"},
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