The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 9 new columns ({'Unnamed: 0', 'P_F', 'VPD_F', 'TA_F', 'NEE_F', 'FCH4_F_ANNOPTLM', 'TIMESTAMP', 'FCH4_F', 'Site'}) and 10 missing columns ({'LOCATION_ELEV', 'LOCATION_LAT', 'FLUXNET-CH4', 'MAT', 'LOCATION_LONG', 'IGBP', 'MAP', 'SITE_ID', 'SITE_NAME', 'FLUXNET2015'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ymsun99/X-MethaneWet/FLUXNET-CH4/FLUXNET_T1_DD.csv (at revision c445a98ffb0a99407cf7db7ca234901ae2e8cc98)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Unnamed: 0: string
TIMESTAMP: string
FCH4_F_ANNOPTLM: double
NEE_F: double
TA_F: double
VPD_F: double
P_F: double
FCH4_F: double
Site: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1291
to
{'SITE_ID': Value('string'), 'SITE_NAME': Value('string'), 'FLUXNET2015': Value('string'), 'FLUXNET-CH4': Value('string'), 'LOCATION_LAT': Value('float64'), 'LOCATION_LONG': Value('float64'), 'LOCATION_ELEV': Value('float64'), 'IGBP': Value('string'), 'MAT': Value('float64'), 'MAP': Value('float64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1451, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 994, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 9 new columns ({'Unnamed: 0', 'P_F', 'VPD_F', 'TA_F', 'NEE_F', 'FCH4_F_ANNOPTLM', 'TIMESTAMP', 'FCH4_F', 'Site'}) and 10 missing columns ({'LOCATION_ELEV', 'LOCATION_LAT', 'FLUXNET-CH4', 'MAT', 'LOCATION_LONG', 'IGBP', 'MAP', 'SITE_ID', 'SITE_NAME', 'FLUXNET2015'}).
This happened while the csv dataset builder was generating data using
hf://datasets/ymsun99/X-MethaneWet/FLUXNET-CH4/FLUXNET_T1_DD.csv (at revision c445a98ffb0a99407cf7db7ca234901ae2e8cc98)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
SITE_ID
string | SITE_NAME
string | FLUXNET2015
string | FLUXNET-CH4
string | LOCATION_LAT
float64 | LOCATION_LONG
float64 | LOCATION_ELEV
float64 | IGBP
string | MAT
float64 | MAP
float64 |
|---|---|---|---|---|---|---|---|---|---|
AT-Neu
|
Neustift
|
CC-BY-4.0
|
CC-BY-4.0
| 47.1167
| 11.3175
| 970
|
GRA
| 6.5
| 852
|
BR-Npw
|
Northern Pantanal Wetland
| null |
CC-BY-4.0
| -16.498
| -56.412
| 120
|
WSA
| 24.9
| 1,486
|
BW-Gum
|
Guma
| null |
CC-BY-4.0
| -18.9647
| 22.3711
| 950
|
WET
| 21
| 460
|
BW-Nxr
|
Nxaraga
| null |
CC-BY-4.0
| -19.5481
| 23.1792
| 950
|
GRA
| 21
| 460
|
CA-SCB
|
Scotty Creek Bog
| null |
CC-BY-4.0
| 61.3089
| -121.2984
| 280
|
WET
| -2.8
| 388
|
CA-SCC
|
Scotty Creek Landscape
| null |
CC-BY-4.0
| 61.3079
| -121.2992
| 285
|
ENF
| -2.8
| 387.6
|
CH-Cha
|
Chamau
|
CC-BY-4.0
|
CC-BY-4.0
| 47.2102
| 8.4104
| 393
|
GRA
| 9.5
| 1,136
|
CH-Dav
|
Davos
|
CC-BY-4.0
|
CC-BY-4.0
| 46.8153
| 9.8559
| 1,639
|
ENF
| 2.8
| 1,062
|
CH-Oe2
|
Oensingen crop
|
CC-BY-4.0
|
CC-BY-4.0
| 47.2864
| 7.7337
| 452
|
CRO
| 9.8
| 1,155
|
CN-Hgu
|
Hongyuan
| null |
CC-BY-4.0
| 32.8453
| 102.59
| 3,500
|
GRA
| 1.5
| 747
|
DE-Dgw
|
Dagowsee
| null |
CC-BY-4.0
| 53.1514
| 13.0543
| 60
|
WAT
| 9.02
| 602.9
|
DE-Hte
|
Huetelmoor
| null |
CC-BY-4.0
| 54.2103
| 12.1761
| 0.2
|
WET
| 9.2
| 645
|
DE-SfN
|
Schechenfilz Nord
|
CC-BY-4.0
|
CC-BY-4.0
| 47.8064
| 11.3275
| 590
|
WET
| 8.6
| 1,127
|
DE-Zrk
|
Zarnekow
|
CC-BY-4.0
|
CC-BY-4.0
| 53.8759
| 12.889
| 0
|
WET
| 8.7
| 584
|
FI-Hyy
|
Hyytiala
|
CC-BY-4.0
|
CC-BY-4.0
| 61.8474
| 24.2948
| 181
|
ENF
| 3.8
| 709
|
FI-Lom
|
Lompolojankka
|
CC-BY-4.0
|
CC-BY-4.0
| 67.9972
| 24.2092
| 274
|
WET
| -1.4
| 484
|
FI-Si2
|
Siikaneva-2 Bog
| null |
CC-BY-4.0
| 61.8372
| 24.1967
| 160
|
WET
| 3.5
| 701
|
FI-Sii
|
Siikaneva
| null |
CC-BY-4.0
| 61.8327
| 24.1928
| 160
|
WET
| 3.5
| 701
|
FR-LGt
|
La Guette
| null |
CC-BY-4.0
| 47.3229
| 2.2841
| null |
WET
| null | null |
HK-MPM
|
Mai Po Mangrove
| null |
CC-BY-4.0
| 22.4982
| 114.0292
| -1
|
EBF
| 23.3
| 1,400
|
ID-Pag
|
Palangkaraya undrained forest
| null |
CC-BY-4.0
| -2.32
| 113.9
| 30
|
EBF
| 26.2
| 2,546
|
IT-BCi
|
Borgo Cioffi
|
CC-BY-4.0
|
CC-BY-4.0
| 40.5237
| 14.9574
| 20
|
CRO
| 18
| 600
|
IT-Cas
|
Castellaro
| null |
CC-BY-4.0
| 45.07
| 8.7175
| 89
|
CRO
| 11.9
| null |
JP-BBY
|
Bibai bog
| null |
CC-BY-4.0
| 43.323
| 141.8107
| null |
WET
| null | null |
JP-Mse
|
Mase rice paddy field
| null |
CC-BY-4.0
| 36.0539
| 140.0269
| null |
CRO
| null | null |
JP-SwL
|
Suwa Lake
| null |
CC-BY-4.0
| 36.0466
| 138.1084
| null |
WAT
| null | null |
KR-CRK
|
Cheorwon Rice paddy
| null |
CC-BY-4.0
| 38.2013
| 127.2506
| 182
|
CRO
| 11.2
| 1,180.9
|
MY-MLM
|
Maludam National Park
| null |
CC-BY-4.0
| 1.4536
| 111.1495
| null |
EBF
| null | null |
NL-Hor
|
Horstermeer
|
CC-BY-4.0
|
CC-BY-4.0
| 52.2403
| 5.0713
| 2.2
|
GRA
| 10
| 800
|
NZ-Kop
|
Kopuatai
| null |
CC-BY-4.0
| -37.3879
| 175.5539
| null |
EBF
| null | null |
PH-RiF
|
Philippines Rice Institute flooded
| null |
CC-BY-4.0
| 14.1412
| 121.2653
| 27
|
CRO
| 27.5
| 2,112
|
RU-Ch2
|
Chersky reference
| null |
CC-BY-4.0
| 68.6169
| 161.3509
| 4
|
WET
| -12.5
| 200
|
RU-Che
|
Cherski
|
CC-BY-4.0
|
CC-BY-4.0
| 68.613
| 161.3414
| 6
|
WET
| -11
| 197
|
RU-Cok
|
Chokurdakh
|
CC-BY-4.0
|
CC-BY-4.0
| 70.8291
| 147.4943
| 48
|
OSH
| -14.3
| 232
|
RU-Fy2
|
Fyodorovskoye dry spruce
| null |
CC-BY-4.0
| 56.4476
| 32.9019
| null |
ENF
| 4.39
| 668.53
|
SE-Deg
|
Degero
| null |
CC-BY-4.0
| 64.182
| 19.5565
| 270
|
GRA
| 1.2
| 523
|
UK-LBT
|
London_BT
| null |
CC-BY-4.0
| 51.5215
| -0.1389
| 21
|
URB
| 11.3
| 592
|
US-A03
|
ARM-AMF3-Oliktok
| null |
CC-BY-4.0
| 70.4953
| -149.8823
| 5
|
BSV
| -11.2
| 115.1
|
US-A10
|
ARM-NSA-Barrow
| null |
CC-BY-4.0
| 71.3242
| -156.6149
| 4
|
BSV
| -11.2
| 115.1
|
US-Atq
|
Atqasuk
|
CC-BY-4.0
|
CC-BY-4.0
| 70.4696
| -157.4089
| 15
|
WET
| -9.7
| 93
|
US-BZB
|
Bonanza Creek Thermokarst Bog
| null |
CC-BY-4.0
| 64.6955
| -148.3208
| 100
|
WET
| -2.4
| 274
|
US-BZF
|
Bonanza Creek Rich Fen
| null |
CC-BY-4.0
| 64.7013
| -148.3121
| 95
|
WET
| -2.4
| 274
|
US-BZS
|
Bonanza Creek Black Spruce
| null |
CC-BY-4.0
| 64.6963
| -148.3235
| 100
|
ENF
| -2.4
| 274
|
US-Beo
|
Barrow Environmental Observatory (BEO) tower
| null |
CC-BY-4.0
| 71.281
| -156.6123
| null |
WET
| -11.3
| 72
|
US-Bes
|
Barrow-Bes (Biocomplexity Experiment South tower)
| null |
CC-BY-4.0
| 71.2809
| -156.5965
| 4.6
|
WET
| -12
| 173
|
US-Bi1
|
Bouldin Island Alfalfa
| null |
CC-BY-4.0
| 38.0992
| -121.4993
| -2.7
|
CRO
| 16
| 338
|
US-Bi2
|
Bouldin Island corn
| null |
CC-BY-4.0
| 38.1091
| -121.5351
| -5
|
CRO
| 16
| 338
|
US-CRT
|
Curtice Walter-Berger cropland
|
CC-BY-4.0
|
CC-BY-4.0
| 41.6285
| -83.3471
| 180
|
CRO
| 10.1
| 849
|
US-DPW
|
Disney Wilderness Preserve Wetland
| null |
CC-BY-4.0
| 28.0521
| -81.4361
| 23
|
WET
| 22.6
| 1,142
|
US-EDN
|
Eden Landing Ecological Reserve
| null |
CC-BY-4.0
| 37.6156
| -122.114
| null |
WET
| null | null |
US-EML
|
Eight Mile Lake Permafrost thaw gradient, Healy Alaska.
| null |
CC-BY-4.0
| 63.8784
| -149.2536
| 662
|
OSH
| -1
| 378
|
US-HRA
|
Humnoke Farm Rice Field – Field A
| null |
CC-BY-4.0
| 34.5852
| -91.7517
| null |
CRO
| 16.7
| 1,250
|
US-HRC
|
Humnoke Farm Rice Field – Field C
| null |
CC-BY-4.0
| 34.5888
| -91.7517
| null |
CRO
| 16.7
| 1,250
|
US-Ho1
|
Howland Forest (main tower)
| null |
CC-BY-4.0
| 45.2041
| -68.7402
| 60
|
ENF
| 5.27
| 1,070
|
US-ICs
|
Imnavait Creek Watershed Wet Sedge Tundra
| null |
CC-BY-4.0
| 68.6058
| -149.311
| 920
|
WET
| -7.4
| 318
|
US-Ivo
|
Ivotuk
|
CC-BY-4.0
|
CC-BY-4.0
| 68.4865
| -155.7503
| 568
|
WET
| -8.28
| 304
|
US-LA1
|
Pointe-aux-Chenes Brackish Marsh
| null |
CC-BY-4.0
| 29.5013
| -90.4449
| 0
|
WET
| 20.7
| 1,625
|
US-LA2
|
Salvador WMA Freshwater Marsh
| null |
CC-BY-4.0
| 29.8587
| -90.2869
| 0
|
WET
| 20.2
| 1,655
|
US-Los
|
Lost Creek
|
CC-BY-4.0
|
CC-BY-4.0
| 46.0827
| -89.9792
| 480
|
WET
| 4.08
| 828
|
US-MAC
|
MacArthur Agro-Ecology
| null |
CC-BY-4.0
| 27.1632
| -81.1873
| null |
WET
| null | null |
US-MRM
|
Marsh Resource Meadowlands Mitigation Bank
| null |
CC-BY-4.0
| 40.8164
| -74.0435
| 1
|
WET
| 13.5
| 1,120
|
US-Myb
|
Mayberry Wetland
|
CC-BY-4.0
|
CC-BY-4.0
| 38.0499
| -121.765
| -4
|
WET
| 15.9
| 338
|
US-NC4
|
NC_AlligatorRiver
| null |
CC-BY-4.0
| 35.7879
| -75.9038
| 1
|
WET
| 16.6
| 1,311
|
US-NGB
|
NGEE Arctic Barrow
| null |
CC-BY-4.0
| 71.28
| -156.6092
| 5.273
|
SNO
| -11.27
| 171
|
US-NGC
|
NGEE Arctic Council
| null |
CC-BY-4.0
| 64.8618
| -163.7002
| 35
|
GRA
| null | null |
US-ORv
|
Olentangy River Wetland Research Park
|
CC-BY-4.0
|
CC-BY-4.0
| 40.0201
| -83.0183
| 221
|
WET
| 11.63
| 1,499.1
|
US-OWC
|
Old Woman Creek
| null |
CC-BY-4.0
| 41.3795
| -82.5125
| 174
|
WET
| 10.7
| 930
|
US-PFa
|
Park Falls/WLEF
|
CC-BY-4.0
|
CC-BY-4.0
| 45.9459
| -90.2723
| 470
|
MF
| 4.33
| 823
|
US-Snd
|
Sherman Island
| null |
CC-BY-4.0
| 38.0366
| -121.754
| -5
|
GRA
| 15.6
| 358
|
US-Sne
|
Sherman Island Restored Wetland
| null |
CC-BY-4.0
| 38.0369
| -121.7547
| -5
|
GRA
| 16.09
| 311
|
US-Srr
|
Suisun marsh - Rush Ranch
| null |
CC-BY-4.0
| 38.2006
| -122.0264
| 8
|
WET
| 15.1
| 326
|
US-StJ
|
St Jones Reserve
| null |
CC-BY-4.0
| 39.0882
| -75.4372
| 6.7
|
WET
| 13.5
| 1,121
|
US-Tw1
|
Twitchell Wetland West Pond
|
CC-BY-4.0
|
CC-BY-4.0
| 38.1074
| -121.6469
| -5
|
WET
| 15.5
| 421
|
US-Tw3
|
Twitchell Alfalfa
|
CC-BY-4.0
|
CC-BY-4.0
| 38.1152
| -121.6469
| -4
|
CRO
| 15.6
| 421
|
US-Tw4
|
Twitchell East End Wetland
|
CC-BY-4.0
|
CC-BY-4.0
| 38.1027
| -121.6413
| -5
|
WET
| 15.6
| 421
|
US-Tw5
|
East Pond Wetland
| null |
CC-BY-4.0
| 38.1072
| -121.6426
| -5
|
WET
| 15.5
| 421
|
US-Twt
|
Twitchell Island
|
CC-BY-4.0
|
CC-BY-4.0
| 38.1087
| -121.6531
| -7
|
CRO
| 15.6
| 421
|
US-Uaf
|
University of Alaska, Fairbanks
| null |
CC-BY-4.0
| 64.8663
| -147.8555
| 155
|
ENF
| -2.9
| 263
|
US-WPT
|
Winous Point North Marsh
|
CC-BY-4.0
|
CC-BY-4.0
| 41.4646
| -82.9962
| 175
|
WET
| 10.1
| 849
|
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End of preview.