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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 2 new columns ({'faa_mode', 'status_indicator'}) and 9 missing columns ({'age_dgps_data', 'geoid_separation_units', 'altitude', 'geoid_separation', 'reference_station_id', 'quality', 'hdop', 'altitude_units', 'number_of_satellites'}).
This happened while the csv dataset builder was generating data using
hf://datasets/neuralzome/GNSS_RTK_NMEA0183/path_1/GLL.csv (at revision db959e6b0a66212c469fb801e94158f75900f6b7)
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 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
timestamp: double
talker: string
latitude: double
latitude_direction: string
longitude: double
longitude_direction: string
utc_timestamp: double
status_indicator: string
faa_mode: string
checksum: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1494
to
{'timestamp': Value(dtype='float64', id=None), 'talker': Value(dtype='string', id=None), 'utc_timestamp': Value(dtype='float64', id=None), 'latitude': Value(dtype='float64', id=None), 'latitude_direction': Value(dtype='string', id=None), 'longitude': Value(dtype='float64', id=None), 'longitude_direction': Value(dtype='string', id=None), 'quality': Value(dtype='int64', id=None), 'number_of_satellites': Value(dtype='int64', id=None), 'hdop': Value(dtype='float64', id=None), 'altitude': Value(dtype='float64', id=None), 'altitude_units': Value(dtype='string', id=None), 'geoid_separation': Value(dtype='float64', id=None), 'geoid_separation_units': Value(dtype='string', id=None), 'age_dgps_data': Value(dtype='int64', id=None), 'reference_station_id': Value(dtype='int64', id=None), 'checksum': Value(dtype='string', id=None)}
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 1417, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1049, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, 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 1872, 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 2 new columns ({'faa_mode', 'status_indicator'}) and 9 missing columns ({'age_dgps_data', 'geoid_separation_units', 'altitude', 'geoid_separation', 'reference_station_id', 'quality', 'hdop', 'altitude_units', 'number_of_satellites'}).
This happened while the csv dataset builder was generating data using
hf://datasets/neuralzome/GNSS_RTK_NMEA0183/path_1/GLL.csv (at revision db959e6b0a66212c469fb801e94158f75900f6b7)
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.
timestamp
float64 | talker
string | utc_timestamp
float64 | latitude
float64 | latitude_direction
string | longitude
float64 | longitude_direction
string | quality
int64 | number_of_satellites
int64 | hdop
float64 | altitude
float64 | altitude_units
string | geoid_separation
float64 | geoid_separation_units
string | age_dgps_data
int64 | reference_station_id
int64 | checksum
string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,712,915,575.13675
|
GN
| 95,255
| 1,254.68639
|
N
| 7,738.71302
|
E
| 4
| 12
| 0.53
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
41
|
1,712,915,576.159565
|
GN
| 95,256
| 1,254.68639
|
N
| 7,738.71302
|
E
| 4
| 12
| 0.58
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4A
|
1,712,915,577.152818
|
GN
| 95,257
| 1,254.68639
|
N
| 7,738.71302
|
E
| 4
| 12
| 0.58
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4A
|
1,712,915,578.152163
|
GN
| 95,258
| 1,254.68654
|
N
| 7,738.71298
|
E
| 4
| 12
| 0.58
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4E
|
1,712,915,579.148501
|
GN
| 95,259
| 1,254.68675
|
N
| 7,738.71298
|
E
| 4
| 12
| 0.58
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4F
|
1,712,915,580.15161
|
GN
| 95,300
| 1,254.68691
|
N
| 7,738.71308
|
E
| 4
| 12
| 0.58
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
41
|
1,712,915,581.151427
|
GN
| 95,301
| 1,254.68703
|
N
| 7,738.71327
|
E
| 4
| 12
| 0.6
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4B
|
1,712,915,582.155681
|
GN
| 95,302
| 1,254.68703
|
N
| 7,738.7135
|
E
| 4
| 12
| 0.6
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
49
|
1,712,915,583.144862
|
GN
| 95,303
| 1,254.68681
|
N
| 7,738.7137
|
E
| 4
| 12
| 0.58
| 900
|
M
| -86.5
|
M
| 0
| 0
|
48
|
1,712,915,584.159617
|
GN
| 95,304
| 1,254.68661
|
N
| 7,738.71365
|
E
| 4
| 12
| 0.58
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
43
|
1,712,915,585.158689
|
GN
| 95,305
| 1,254.68654
|
N
| 7,738.71358
|
E
| 4
| 12
| 0.58
| 900
|
M
| -86.5
|
M
| 0
| 0
|
48
|
1,712,915,586.163852
|
GN
| 95,306
| 1,254.68634
|
N
| 7,738.71354
|
E
| 4
| 12
| 0.53
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4A
|
1,712,915,587.152255
|
GN
| 95,307
| 1,254.68624
|
N
| 7,738.71348
|
E
| 4
| 12
| 0.58
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4E
|
1,712,915,588.157313
|
GN
| 95,308
| 1,254.68624
|
N
| 7,738.71348
|
E
| 4
| 12
| 0.58
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
42
|
1,712,915,589.144043
|
GN
| 95,309
| 1,254.68624
|
N
| 7,738.71347
|
E
| 4
| 12
| 0.58
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4D
|
1,712,915,590.152189
|
GN
| 95,310
| 1,254.68616
|
N
| 7,738.71341
|
E
| 4
| 12
| 0.59
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
41
|
1,712,915,591.152957
|
GN
| 95,311
| 1,254.68606
|
N
| 7,738.71323
|
E
| 4
| 12
| 0.59
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
46
|
1,712,915,592.153906
|
GN
| 95,312
| 1,254.68603
|
N
| 7,738.71302
|
E
| 4
| 12
| 0.54
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4F
|
1,712,915,593.152163
|
GN
| 95,313
| 1,254.6861
|
N
| 7,738.71281
|
E
| 4
| 12
| 0.54
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
44
|
1,712,915,594.162084
|
GN
| 95,314
| 1,254.6862
|
N
| 7,738.7127
|
E
| 4
| 12
| 0.59
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
40
|
1,712,915,595.154854
|
GN
| 95,315
| 1,254.68636
|
N
| 7,738.7127
|
E
| 4
| 12
| 0.59
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
47
|
1,712,915,596.159479
|
GN
| 95,316
| 1,254.68653
|
N
| 7,738.71281
|
E
| 4
| 12
| 0.59
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4B
|
1,712,915,597.14988
|
GN
| 95,317
| 1,254.68634
|
N
| 7,738.71297
|
E
| 4
| 12
| 0.59
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4F
|
1,712,915,598.159175
|
GN
| 95,318
| 1,254.68608
|
N
| 7,738.71324
|
E
| 4
| 12
| 0.59
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
47
|
1,712,915,599.156633
|
GN
| 95,319
| 1,254.68583
|
N
| 7,738.7137
|
E
| 4
| 12
| 0.59
| 900
|
M
| -86.5
|
M
| 0
| 0
|
44
|
1,712,915,600.151963
|
GN
| 95,320
| 1,254.68584
|
N
| 7,738.71422
|
E
| 4
| 12
| 0.61
| 900
|
M
| -86.5
|
M
| 0
| 0
|
41
|
1,712,915,601.141891
|
GN
| 95,321
| 1,254.68602
|
N
| 7,738.71462
|
E
| 4
| 12
| 0.61
| 900
|
M
| -86.5
|
M
| 0
| 0
|
48
|
1,712,915,602.151893
|
GN
| 95,322
| 1,254.68626
|
N
| 7,738.71493
|
E
| 4
| 12
| 0.56
| 900
|
M
| -86.5
|
M
| 0
| 0
|
40
|
1,712,915,603.15973
|
GN
| 95,323
| 1,254.6864
|
N
| 7,738.71527
|
E
| 4
| 12
| 0.57
| 900
|
M
| -86.5
|
M
| 0
| 0
|
4F
|
1,712,915,604.161554
|
GN
| 95,324
| 1,254.68621
|
N
| 7,738.71567
|
E
| 4
| 12
| 0.59
| 900
|
M
| -86.5
|
M
| 0
| 0
|
46
|
1,712,915,605.149313
|
GN
| 95,325
| 1,254.68614
|
N
| 7,738.71616
|
E
| 4
| 12
| 0.59
| 900
|
M
| -86.5
|
M
| 0
| 0
|
43
|
1,712,915,606.160044
|
GN
| 95,326
| 1,254.68619
|
N
| 7,738.71672
|
E
| 4
| 12
| 0.54
| 900
|
M
| -86.5
|
M
| 0
| 0
|
41
|
1,712,915,607.160203
|
GN
| 95,327
| 1,254.68637
|
N
| 7,738.71713
|
E
| 4
| 12
| 0.55
| 900
|
M
| -86.5
|
M
| 0
| 0
|
4A
|
1,712,915,608.155118
|
GN
| 95,328
| 1,254.68663
|
N
| 7,738.71743
|
E
| 4
| 12
| 0.59
| 900
|
M
| -86.5
|
M
| 0
| 0
|
4F
|
1,712,915,609.154197
|
GN
| 95,329
| 1,254.68683
|
N
| 7,738.71778
|
E
| 4
| 12
| 0.55
| 900
|
M
| -86.5
|
M
| 0
| 0
|
47
|
1,712,915,610.151087
|
GN
| 95,330
| 1,254.68696
|
N
| 7,738.71814
|
E
| 4
| 12
| 0.54
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4F
|
1,712,915,611.152647
|
GN
| 95,331
| 1,254.68691
|
N
| 7,738.71853
|
E
| 4
| 12
| 0.54
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
48
|
1,712,915,612.166769
|
GN
| 95,332
| 1,254.68674
|
N
| 7,738.71892
|
E
| 4
| 12
| 0.54
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4E
|
1,712,915,613.156421
|
GN
| 95,333
| 1,254.6865
|
N
| 7,738.71932
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
45
|
1,712,915,614.163925
|
GN
| 95,334
| 1,254.68631
|
N
| 7,738.71969
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
49
|
1,712,915,615.169735
|
GN
| 95,335
| 1,254.68613
|
N
| 7,738.72005
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4B
|
1,712,915,616.160306
|
GN
| 95,336
| 1,254.68591
|
N
| 7,738.72037
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
41
|
1,712,915,617.152488
|
GN
| 95,337
| 1,254.68561
|
N
| 7,738.72061
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4E
|
1,712,915,618.158824
|
GN
| 95,338
| 1,254.68526
|
N
| 7,738.72075
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
44
|
1,712,915,619.145564
|
GN
| 95,339
| 1,254.68484
|
N
| 7,738.72074
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4C
|
1,712,915,620.165875
|
GN
| 95,340
| 1,254.68439
|
N
| 7,738.72063
|
E
| 4
| 12
| 0.52
| 900.2
|
M
| -86.5
|
M
| 0
| 0
|
43
|
1,712,915,621.149912
|
GN
| 95,341
| 1,254.68395
|
N
| 7,738.72051
|
E
| 4
| 12
| 0.54
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
44
|
1,712,915,622.165083
|
GN
| 95,342
| 1,254.68352
|
N
| 7,738.72043
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
48
|
1,712,915,623.152624
|
GN
| 95,343
| 1,254.68308
|
N
| 7,738.72034
|
E
| 4
| 12
| 0.54
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
42
|
1,712,915,624.157792
|
GN
| 95,344
| 1,254.68263
|
N
| 7,738.72029
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
40
|
1,712,915,625.154241
|
GN
| 95,345
| 1,254.68227
|
N
| 7,738.7203
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
48
|
1,712,915,626.160134
|
GN
| 95,346
| 1,254.68226
|
N
| 7,738.72029
|
E
| 4
| 12
| 0.54
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
46
|
1,712,915,627.151103
|
GN
| 95,347
| 1,254.68226
|
N
| 7,738.72029
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
42
|
1,712,915,628.150734
|
GN
| 95,348
| 1,254.68225
|
N
| 7,738.72031
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
46
|
1,712,915,629.153353
|
GN
| 95,349
| 1,254.68215
|
N
| 7,738.72033
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
44
|
1,712,915,630.164395
|
GN
| 95,350
| 1,254.68198
|
N
| 7,738.72029
|
E
| 4
| 12
| 0.52
| 900.2
|
M
| -86.5
|
M
| 0
| 0
|
41
|
1,712,915,631.149723
|
GN
| 95,351
| 1,254.6817
|
N
| 7,738.7202
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4D
|
1,712,915,632.160765
|
GN
| 95,352
| 1,254.68135
|
N
| 7,738.72018
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
46
|
1,712,915,633.158276
|
GN
| 95,353
| 1,254.68091
|
N
| 7,738.72021
|
E
| 4
| 12
| 0.52
| 900.2
|
M
| -86.5
|
M
| 0
| 0
|
42
|
1,712,915,634.166577
|
GN
| 95,354
| 1,254.68048
|
N
| 7,738.72028
|
E
| 4
| 12
| 0.52
| 900.2
|
M
| -86.5
|
M
| 0
| 0
|
49
|
1,712,915,635.149044
|
GN
| 95,355
| 1,254.68004
|
N
| 7,738.72036
|
E
| 4
| 12
| 0.52
| 900.2
|
M
| -86.5
|
M
| 0
| 0
|
4D
|
1,712,915,636.157909
|
GN
| 95,356
| 1,254.67957
|
N
| 7,738.72045
|
E
| 4
| 12
| 0.52
| 900.2
|
M
| -86.5
|
M
| 0
| 0
|
49
|
1,712,915,637.148767
|
GN
| 95,357
| 1,254.67914
|
N
| 7,738.72059
|
E
| 4
| 12
| 0.52
| 900.2
|
M
| -86.5
|
M
| 0
| 0
|
43
|
1,712,915,638.15694
|
GN
| 95,358
| 1,254.67874
|
N
| 7,738.72075
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
44
|
1,712,915,639.157561
|
GN
| 95,359
| 1,254.67833
|
N
| 7,738.7209
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4E
|
1,712,915,640.161823
|
GN
| 95,400
| 1,254.67792
|
N
| 7,738.72104
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4C
|
1,712,915,641.152318
|
GN
| 95,401
| 1,254.67755
|
N
| 7,738.7212
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
42
|
1,712,915,642.160647
|
GN
| 95,402
| 1,254.67717
|
N
| 7,738.7213
|
E
| 4
| 12
| 0.55
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
42
|
1,712,915,643.153499
|
GN
| 95,403
| 1,254.67678
|
N
| 7,738.72136
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4B
|
1,712,915,644.164416
|
GN
| 95,404
| 1,254.67641
|
N
| 7,738.72135
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
47
|
1,712,915,645.159015
|
GN
| 95,405
| 1,254.67612
|
N
| 7,738.72112
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
46
|
1,712,915,646.158383
|
GN
| 95,406
| 1,254.67589
|
N
| 7,738.72081
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4E
|
1,712,915,647.148835
|
GN
| 95,407
| 1,254.67586
|
N
| 7,738.72038
|
E
| 4
| 12
| 0.54
| 900.2
|
M
| -86.5
|
M
| 0
| 0
|
45
|
1,712,915,648.166713
|
GN
| 95,408
| 1,254.67584
|
N
| 7,738.71999
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4F
|
1,712,915,649.15254
|
GN
| 95,409
| 1,254.67615
|
N
| 7,738.71979
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4A
|
1,712,915,650.163546
|
GN
| 95,410
| 1,254.67655
|
N
| 7,738.71983
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
41
|
1,712,915,651.156086
|
GN
| 95,411
| 1,254.67694
|
N
| 7,738.72008
|
E
| 4
| 12
| 0.52
| 900.2
|
M
| -86.5
|
M
| 0
| 0
|
44
|
1,712,915,652.165794
|
GN
| 95,412
| 1,254.67739
|
N
| 7,738.72037
|
E
| 4
| 12
| 0.52
| 900.2
|
M
| -86.5
|
M
| 0
| 0
|
4C
|
1,712,915,653.161086
|
GN
| 95,413
| 1,254.67806
|
N
| 7,738.72051
|
E
| 4
| 12
| 0.52
| 900.2
|
M
| -86.5
|
M
| 0
| 0
|
4C
|
1,712,915,654.15592
|
GN
| 95,414
| 1,254.67865
|
N
| 7,738.72021
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
49
|
1,712,915,655.146576
|
GN
| 95,415
| 1,254.67891
|
N
| 7,738.71965
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
48
|
1,712,915,656.153776
|
GN
| 95,416
| 1,254.67886
|
N
| 7,738.71906
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4A
|
1,712,915,657.161237
|
GN
| 95,417
| 1,254.67858
|
N
| 7,738.7186
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4A
|
1,712,915,658.167472
|
GN
| 95,418
| 1,254.67822
|
N
| 7,738.71833
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4F
|
1,712,915,659.156033
|
GN
| 95,419
| 1,254.67777
|
N
| 7,738.71796
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
43
|
1,712,915,660.160985
|
GN
| 95,420
| 1,254.67728
|
N
| 7,738.71784
|
E
| 4
| 12
| 0.57
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
46
|
1,712,915,661.15677
|
GN
| 95,421
| 1,254.67678
|
N
| 7,738.71781
|
E
| 4
| 12
| 0.54
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
44
|
1,712,915,662.167668
|
GN
| 95,422
| 1,254.67629
|
N
| 7,738.71794
|
E
| 4
| 12
| 0.54
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
45
|
1,712,915,663.148979
|
GN
| 95,423
| 1,254.6759
|
N
| 7,738.71815
|
E
| 4
| 12
| 0.54
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
40
|
1,712,915,664.162216
|
GN
| 95,424
| 1,254.67551
|
N
| 7,738.71838
|
E
| 4
| 12
| 0.54
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
44
|
1,712,915,665.148619
|
GN
| 95,425
| 1,254.67507
|
N
| 7,738.71858
|
E
| 4
| 12
| 0.54
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
42
|
1,712,915,666.157341
|
GN
| 95,426
| 1,254.6747
|
N
| 7,738.71884
|
E
| 4
| 12
| 0.54
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
42
|
1,712,915,667.154985
|
GN
| 95,427
| 1,254.67435
|
N
| 7,738.71915
|
E
| 4
| 12
| 0.54
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4A
|
1,712,915,668.160081
|
GN
| 95,428
| 1,254.67402
|
N
| 7,738.7195
|
E
| 4
| 12
| 0.54
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
42
|
1,712,915,669.154058
|
GN
| 95,429
| 1,254.67378
|
N
| 7,738.71985
|
E
| 4
| 12
| 0.54
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
42
|
1,712,915,670.158057
|
GN
| 95,430
| 1,254.67356
|
N
| 7,738.7202
|
E
| 4
| 12
| 0.54
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
42
|
1,712,915,671.147218
|
GN
| 95,431
| 1,254.67328
|
N
| 7,738.72052
|
E
| 4
| 12
| 0.54
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
4D
|
1,712,915,672.163068
|
GN
| 95,432
| 1,254.67298
|
N
| 7,738.72072
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
43
|
1,712,915,673.151455
|
GN
| 95,433
| 1,254.67259
|
N
| 7,738.72074
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
48
|
1,712,915,674.16129
|
GN
| 95,434
| 1,254.6722
|
N
| 7,738.72074
|
E
| 4
| 12
| 0.52
| 900.1
|
M
| -86.5
|
M
| 0
| 0
|
43
|
End of preview.
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Contains samples on GNSS RTK data stored in NMEA 0183 format
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