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299 kB across 1 part, newest sealed 9 September 2026 at 13:52 UTC.

The first build wrote 1 part and 7,596 rows.

UNIQUE_REGION_CROP_YEAR passed.

EXPECTED_RECORDS passed.

NULL_COUNTRY passed.

NULL_REGION passed.

NULL_REGION_NAME passed.

NULL_NUTS_LEVEL passed.

NULL_CROP_CODE passed.

NULL_CROP_NAME passed.

NULL_HARVEST_YEAR passed.

NULL_PREDICTOR_CUTOFF passed.

NULL_WEATHER_LATITUDE passed.

NULL_WEATHER_LONGITUDE passed.

NULL_OUTCOME_AREA_HA passed.

NULL_OUTCOME_PRODUCTION_T passed.

NULL_OUTCOME_YIELD_T_HA passed.

NULL_CROP_OBSERVATION_FLAGS passed.

NULL_WEATHER_DAYS passed.

NULL_COMPLETE_WEATHER_DAYS passed.

NULL_JAN_MAY_MEAN_TEMP_C passed.

NULL_JAN_MAY_MAX_TEMP_C passed.

NULL_JAN_MAY_MIN_TEMP_C passed.

NULL_JAN_MAY_RAINFALL_MM passed.

NULL_JAN_MAY_HUMIDITY_PCT passed.

NULL_JAN_MAY_SOLAR_MJ_M2 passed.

NULL_JAN_MAY_FROST_DAYS passed.

NULL_JAN_MAY_HOT_DAYS passed.

NULL_JAN_MAY_DRY_DAYS passed.

NULL_JAN_TEMP_C passed.

NULL_JAN_RAINFALL_MM passed.

NULL_JAN_SOLAR_MJ_M2 passed.

NULL_FEB_TEMP_C passed.

NULL_FEB_RAINFALL_MM passed.

NULL_FEB_SOLAR_MJ_M2 passed.

NULL_MAR_TEMP_C passed.

NULL_MAR_RAINFALL_MM passed.

NULL_MAR_SOLAR_MJ_M2 passed.

NULL_APR_TEMP_C passed.

NULL_APR_RAINFALL_MM passed.

NULL_APR_SOLAR_MJ_M2 passed.

NULL_MAY_TEMP_C passed.

NULL_MAY_RAINFALL_MM passed.

NULL_MAY_SOLAR_MJ_M2 passed.

NULL_FAO_FOOD_JAN_APR_INDEX passed.

NULL_FAO_FOOD_APR_INDEX passed.

NULL_FAO_CEREALS_JAN_APR_INDEX passed.

NULL_FAO_CEREALS_APR_INDEX passed.

NULL_FAO_OILS_JAN_APR_INDEX passed.

NULL_FAO_OILS_APR_INDEX passed.

NULL_FAO_MONTHS passed.

RANGE_WEATHER_DAYS passed.

RANGE_COMPLETE_WEATHER_DAYS passed.

RANGE_FAO_MONTHS passed.

RANGE_OUTCOME_YIELD_T_HA passed.

country

string

Country code: AT, CZ, DE, FR or PL.

  • FR34%
  • PL23%
  • DE19%
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
5 · 0.1% of valid

region

string

Current NUTS 2024 code; observed source histories are retained, not spatially reconstructed.

  • FR102%
  • FRB02%
  • FRC12%
  • Other (57)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
69 · 0.9% of valid

region_name

string

Eurostat GISCO region name.

  • Alsace2%
  • Aquitaine2%
  • Auvergne2%
  • Other (57)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
69 · 0.9% of valid

nuts_level

integer

Geographic level: Germany uses NUTS 1; other countries use NUTS 2.

Histogram: 1 to 1.5, 1,456; 1.5 to 2, 6,140
12
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
2 · 0% of valid
Min
1
25%
2
Median
2
75%
2
Max
2

crop_code

string

Eurostat crop code.

  • C130022%
  • C111022%
  • I111021%
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
5 · 0.1% of valid

crop_name

string

Common wheat and spelt, barley, grain maize, rapeseed or potatoes.

  • Barley22%
  • Common wheat and spelt22%
  • Rapeseed21%
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
5 · 0.1% of valid

harvest_year

integer

Year of harvested production.

Histogram: 2000 to 2003, 807; 2003 to 2006, 794; 2006 to 2009, 830; 2009 to 2012, 905; 2012 to 2015, 946; 2015 to 2018, 995; 2018 to 2021, 993; 2021 to 2024, 1,326
20002024
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
25 · 0.3% of valid
Min
2000
25%
2007
Median
2013
75%
2019
Max
2024

predictor_cutoff

date

June 1 of harvest year; weather strictly precedes this day and FAO reference months end in April. Not an as-published vintage claim.

  • 2017-06-014%
  • 2024-06-014%
  • 2014-06-014%
  • Other (13)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
25 · 0.3% of valid

weather_latitude

decimal

NASA request latitude rounded to five decimals from the GISCO label point.

  • 43.7689602%
  • 43.9384302%
  • 43.9556102%
  • Other (57)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
69 · 0.9% of valid
Min
42.151660
25%
47.484750
Median
49.384370
75%
51.052340
Max
54.152660

weather_longitude

decimal

NASA request longitude rounded to five decimals from the GISCO label point.

  • -2.8375602%
  • -0.8109502%
  • -0.5218902%
  • Other (57)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
69 · 0.9% of valid
Min
-2.837560
25%
5.339810
Median
11.700690
75%
16.377860
Max
22.929310

outcome_area_ha

decimal

Reported crop area in hectares, a contemporaneous harvest outcome; exclude from June predictors.

  • 100.0000001%
  • 200.0000001%
  • 400.0000001%
  • Other (4,505)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
4,517 · 59.5% of valid
Min
10.000000
25%
7900.000000
Median
40490.000000
75%
106550.000000
Max
764600.000000

outcome_production_t

decimal

Reported harvested production in tonnes at EU standard humidity; exclude from predictors.

  • 400.0000000%
  • 600.0000000%
  • 50.0000000%
  • Other (6,716)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
6,728 · 88.6% of valid
Min
30.000000
25%
53980.000000
Median
238430.000000
75%
621500.000000
Max
6124100.000000

outcome_yield_t_ha

decimal

Harvested production divided by positive reported area; continuous observed outcome for downstream modelling.

  • 3.0000000%
  • 2.0000000%
  • 5.0000000%
  • Other (7,261)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
7,273 · 95.7% of valid
Min
1.000000
25%
3.695838
Median
5.905085
75%
9.006585
Max
58.637778

crop_observation_flags

string

Combined Eurostat crop flags; empty means none. Preserve provisional, estimate and break information.

  • ""100%
  • d0%
  • b0%
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
3 · 0% of valid

weather_days

integer

Number of daily observations from January 1 through May 31.

Histogram: 151 to 151.5, 5,468; 151.5 to 152, 2,128
151152
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
2 · 0% of valid
Min
151
25%
151
Median
151
75%
152
Max
152

complete_weather_days

integer

Days with all six weather variables present.

Histogram: 151 to 151.5, 5,468; 151.5 to 152, 2,128
151152
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
2 · 0% of valid
Min
151
25%
151
Median
151
75%
152
Max
152

jan_may_mean_temp_c

decimal

January–May daily mean temperature average at the regional label-point grid.

  • 7.8598030%
  • 7.8854300%
  • 2.3962250%
  • Other (1,672)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1,684 · 22.2% of valid
Min
-4.696689
25%
4.089276
Median
5.468355
75%
6.965695
Max
12.168487

jan_may_max_temp_c

decimal

Highest daily maximum temperature observed January–May.

  • 23.6600000%
  • 24.2200000%
  • 25.1800000%
  • Other (794)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
806 · 10.6% of valid
Min
14.200000
25%
23.830000
Median
25.510000
75%
27.160000
Max
34.180000

jan_may_min_temp_c

decimal

Lowest daily minimum temperature observed January–May.

  • -4.8200000%
  • -9.8900000%
  • -7.3500000%
  • Other (1,159)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1,171 · 15.4% of valid
Min
-36.100000
25%
-16.110000
Median
-11.630000
75%
-7.520000
Max
3.650000

jan_may_rainfall_mm

decimal

Total corrected precipitation January–May.

  • 226.3300000%
  • 289.1300000%
  • 147.7400000%
  • Other (1,628)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1,640 · 21.6% of valid
Min
106.840000
25%
226.660000
Median
268.510000
75%
326.260000
Max
790.310000

jan_may_humidity_pct

decimal

Average daily relative humidity January–May.

  • 82.6647680%
  • 85.1779470%
  • 85.8923180%
  • Other (1,673)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1,685 · 22.2% of valid
Min
64.604238
25%
81.555461
Median
83.889801
75%
85.667086
Max
92.684106

jan_may_solar_mj_m2

decimal

Total daily shortwave irradiance January–May.

  • 1694.4200000%
  • 1427.3600000%
  • 1516.5400000%
  • Other (1,515)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1,527 · 20.1% of valid
Min
1255.500000
25%
1523.930000
Median
1634.160000
75%
1758.420000
Max
2373.110000

jan_may_frost_days

integer

January–May days with daily minimum temperature below 0 C.

Histogram: 0 to 18, 376; 18 to 36, 917; 36 to 54, 1,340; 54 to 72, 1,916; 72 to 90, 2,376; 90 to 108, 498; 108 to 126, 69; 126 to 144, 104
0144
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
133 · 1.8% of valid
Min
0
25%
44
Median
65
75%
79
Max
144

jan_may_hot_days

integer

January–May days with daily maximum temperature at least 30 C.

Histogram: 0 to 0.8571428571428571, 7,316; 0.8571428571428571 to 1.7142857142857142, 196; 1.7142857142857142 to 2.571428571428571, 51; 2.571428571428571 to 3.4285714285714284, 10; 3.4285714285714284 to 4.285714285714286, 13; 4.285714285714286 to 5.142857142857142, 5; 5.142857142857142 to 6, 5
06
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
7 · 0.1% of valid
Min
0
25%
0
Median
0
75%
0
Max
6

jan_may_dry_days

integer

January–May days with precipitation below 1 mm.

Histogram: 51 to 61.5, 39; 61.5 to 72, 369; 72 to 82.5, 1,098; 82.5 to 93, 2,029; 93 to 103.5, 2,726; 103.5 to 114, 1,026; 114 to 124.5, 296; 124.5 to 135, 13
51135
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
70 · 0.9% of valid
Min
51
25%
85
Median
93
75%
100
Max
135

jan_temp_c

decimal

Jan mean daily temperature at the regional label-point grid.

  • 3.4361290%
  • -1.0219350%
  • -0.6561290%
  • Other (1,650)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1,662 · 21.9% of valid
Min
-13.173226
25%
-2.842258
Median
-0.190968
75%
2.290000
Max
9.299677

jan_rainfall_mm

decimal

Jan total precipitation at the regional label-point grid.

  • 42.6900000%
  • 43.5700000%
  • 33.4300000%
  • Other (1,530)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1,542 · 20.3% of valid
Min
3.570000
25%
39.670000
Median
52.980000
75%
72.440000
Max
252.460000

jan_solar_mj_m2

decimal

Jan total shortwave irradiance at the regional label-point grid.

  • 115.0500000%
  • 101.1500000%
  • 90.2300000%
  • Other (1,440)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1,452 · 19.1% of valid
Min
47.170000
25%
81.530000
Median
100.260000
75%
124.460000
Max
252.160000

feb_temp_c

decimal

Feb mean daily temperature at the regional label-point grid.

  • -4.8210340%
  • -3.9921430%
  • 0.4550000%
  • Other (1,651)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1,663 · 21.9% of valid
Min
-13.063448
25%
-1.662143
Median
1.406071
75%
3.629655
Max
10.158276

feb_rainfall_mm

decimal

Feb total precipitation at the regional label-point grid.

  • 10.8700000%
  • 45.1300000%
  • 45.3300000%
  • Other (1,515)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1,527 · 20.1% of valid
Min
0.320000
25%
29.050000
Median
45.130000
75%
62.910000
Max
188.030000

feb_solar_mj_m2

decimal

Feb total shortwave irradiance at the regional label-point grid.

  • 155.2400000%
  • 156.5700000%
  • 114.8000000%
  • Other (1,465)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1,477 · 19.4% of valid
Min
80.090000
25%
145.190000
Median
170.760000
75%
203.150000
Max
340.130000

mar_temp_c

decimal

Mar mean daily temperature at the regional label-point grid.

  • -0.4048390%
  • 2.2793550%
  • 3.4477420%
  • Other (1,640)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1,652 · 21.7% of valid
Min
-7.695806
25%
2.704194
Median
4.380323
75%
6.312258
Max
11.366129

mar_rainfall_mm

decimal

Mar total precipitation at the regional label-point grid.

  • 21.7300000%
  • 39.9900000%
  • 10.5900000%
  • Other (1,545)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1,557 · 20.5% of valid
Min
1.490000
25%
30.880000
Median
46.660000
75%
67.390000
Max
263.070000

mar_solar_mj_m2

decimal

Mar total shortwave irradiance at the regional label-point grid.

  • 317.2700000%
  • 298.4500000%
  • 208.4900000%
  • Other (1,471)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1,483 · 19.5% of valid
Min
200.540000
25%
285.330000
Median
322.730000
75%
366.680000
Max
545.340000

apr_temp_c

decimal

Apr mean daily temperature at the regional label-point grid.

  • 9.0726670%
  • 10.3363330%
  • 6.4186670%
  • Other (1,618)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1,630 · 21.5% of valid
Min
-3.578000
25%
7.413000
Median
8.692333
75%
10.276333
Max
15.068333

apr_rainfall_mm

decimal

Apr total precipitation at the regional label-point grid.

  • 23.4000000%
  • 42.6200000%
  • 25.8500000%
  • Other (1,530)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1,542 · 20.3% of valid
Min
1.050000
25%
30.420000
Median
45.300000
75%
64.290000
Max
163.600000

apr_solar_mj_m2

decimal

Apr total shortwave irradiance at the regional label-point grid.

  • 376.1500000%
  • 373.8000000%
  • 422.2400000%
  • Other (1,473)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1,485 · 19.5% of valid
Min
330.760000
25%
419.270000
Median
459.950000
75%
508.930000
Max
654.370000

may_temp_c

decimal

May mean daily temperature at the regional label-point grid.

  • 11.5858060%
  • 11.1467740%
  • 11.9829030%
  • Other (1,617)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1,629 · 21.4% of valid
Min
2.055161
25%
12.211290
Median
13.431935
75%
14.630968
Max
19.343871

may_rainfall_mm

decimal

May total precipitation at the regional label-point grid.

  • 61.8100000%
  • 64.0300000%
  • 80.3000000%
  • Other (1,567)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1,579 · 20.8% of valid
Min
6.310000
25%
49.100000
Median
69.610000
75%
96.570000
Max
273.100000

may_solar_mj_m2

decimal

May total shortwave irradiance at the regional label-point grid.

  • 513.3400000%
  • 535.0600000%
  • 593.6500000%
  • Other (1,487)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1,499 · 19.7% of valid
Min
352.610000
25%
540.360000
Median
582.650000
75%
624.280000
Max
809.940000

fao_food_jan_apr_index

decimal

January–April mean global food price index, 2014–2016=100.

  • 96.7750004%
  • 118.2750004%
  • 93.3500004%
  • Other (13)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
25 · 0.3% of valid
Min
52.375000
25%
80.875000
Median
97.500000
75%
119.600000
Max
149.100000

fao_food_apr_index

decimal

April global food price index, 2014–2016=100.

  • 95.0000004%
  • 119.2000004%
  • 93.5000004%
  • Other (13)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
25 · 0.3% of valid
Min
51.400000
25%
83.900000
Median
95.000000
75%
122.100000
Max
158.800000

fao_cereals_jan_apr_index

decimal

January–April mean global cereals price index, 2014–2016=100.

  • 88.3750004%
  • 114.0500004%
  • 98.6500004%
  • Other (13)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
25 · 0.3% of valid
Min
50.250000
25%
85.900000
Median
99.475000
75%
125.300000
Max
156.950000

fao_cereals_apr_index

decimal

April global cereals price index, 2014–2016=100.

  • 86.9000004%
  • 111.6000004%
  • 94.6000004%
  • Other (13)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
25 · 0.3% of valid
Min
49.300000
25%
85.100000
Median
98.200000
75%
126.200000
Max
169.700000

fao_oils_jan_apr_index

decimal

January–April mean global oils price index, 2014–2016=100.

  • 104.8325004%
  • 126.2250004%
  • 79.8900004%
  • Other (13)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
25 · 0.3% of valid
Min
37.332500
25%
79.890000
Median
95.807500
75%
126.225000
Max
219.225000

fao_oils_apr_index

decimal

April global oils price index, 2014–2016=100.

  • 97.5800004%
  • 130.9000004%
  • 79.1100004%
  • Other (13)
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
25 · 0.3% of valid
Min
38.030000
25%
79.110000
Median
97.580000
75%
130.000000
Max
237.500000

fao_months

integer

Number of January–April FAO observations used.

Histogram: 4 to 4, 7,596
44
Valid
7,596 · 100%
Missing
0 · 0%
Distinct
1 · 0% of valid
Min
4
25%
4
Median
4
75%
4
Max
4