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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 1 new columns ({'shbcvr'}) and 7 missing columns ({'Timing', 'TPH_SZ4', 'TPH_SZ2', 'TPHsum_GT25', 'TPH_SZ3', 'TPH_SZ1', 'LiveTreeBiomass'}).

This happened while the csv dataset builder was generating data using

hf://datasets/h0d4r1/FRAMES_ForestStructureTreeRingWidth/Shrub_post_7yr.csv (at revision 389e35be4fab4388dba6d701ab552f78c12222b0)

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 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 623, 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 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Treatment: string
              Unit: int64
              Plot: int64
              shbcvr: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 702
              to
              {'Timing': Value(dtype='string', id=None), 'Treatment': Value(dtype='string', id=None), 'Unit': Value(dtype='int64', id=None), 'Plot': Value(dtype='int64', id=None), 'TPH_SZ1': Value(dtype='int64', id=None), 'TPH_SZ2': Value(dtype='int64', id=None), 'TPH_SZ3': Value(dtype='int64', id=None), 'TPH_SZ4': Value(dtype='int64', id=None), 'TPHsum_GT25': Value(dtype='int64', id=None), 'LiveTreeBiomass': Value(dtype='float64', 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 1438, 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 1050, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 1742, 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 1873, 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 1 new columns ({'shbcvr'}) and 7 missing columns ({'Timing', 'TPH_SZ4', 'TPH_SZ2', 'TPHsum_GT25', 'TPH_SZ3', 'TPH_SZ1', 'LiveTreeBiomass'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/h0d4r1/FRAMES_ForestStructureTreeRingWidth/Shrub_post_7yr.csv (at revision 389e35be4fab4388dba6d701ab552f78c12222b0)
              
              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.

Timing
string
Treatment
string
Unit
int64
Plot
int64
TPH_SZ1
int64
TPH_SZ2
int64
TPH_SZ3
int64
TPH_SZ4
int64
TPHsum_GT25
int64
LiveTreeBiomass
float64
Post1
cont
40
2
568
148
124
0
272
295.5
Post7
cont
40
2
568
173
99
0
272
326
Pre
cont
40
2
568
198
74
0
272
271.4
Post1
cont
40
3
1,927
49
74
49
173
385.4
Post7
cont
40
3
1,680
25
99
49
173
455.1
Pre
cont
40
3
2,175
49
99
25
173
380.2
Post1
cont
40
5
494
198
74
25
297
391.5
Post7
cont
40
5
741
148
99
25
272
454.3
Pre
cont
40
5
519
198
74
25
297
377.5
Post1
cont
40
7
4,349
222
0
25
247
215.8
Post7
cont
40
7
2,619
198
25
25
247
246.9
Pre
cont
40
7
3,608
222
0
25
247
211.8
Post1
cont
40
12
1,656
222
74
0
297
369.2
Post7
cont
40
12
642
173
99
0
272
472.8
Pre
cont
40
12
1,680
198
74
0
272
355
Post1
cont
40
101
1,334
148
49
25
222
506.8
Post7
cont
40
101
1,310
148
49
25
222
595.6
Pre
cont
40
101
1,359
148
49
25
222
497.2
Post1
cont
40
103
247
124
49
74
247
552.1
Post7
cont
40
103
173
124
49
74
247
645.1
Pre
cont
40
103
297
124
49
74
247
551.9
Post1
cont
40
104
642
198
99
25
321
453.7
Post7
cont
40
104
395
148
74
49
272
505.8
Pre
cont
40
104
420
198
74
25
297
442.2
Post1
cont
40
105
74
247
148
49
445
750
Post7
cont
40
105
74
222
124
74
420
809
Pre
cont
40
105
346
247
148
49
445
716.8
Post1
cont
40
106
3,410
198
74
25
297
302
Post7
cont
40
106
3,410
124
99
25
247
374.4
Pre
cont
40
106
1,458
198
74
25
297
302.5
Post1
cont
40
107
865
222
74
0
297
243.6
Post7
cont
40
107
272
198
124
0
321
300.8
Pre
cont
40
107
1,161
222
74
0
297
240.4
Post1
cont
40
108
2,941
49
49
0
99
101.4
Post7
cont
40
108
1,211
49
49
0
99
128.4
Pre
cont
40
108
2,471
49
25
0
74
98.4
Post1
cont
40
109
1,359
148
25
99
272
686.6
Post7
cont
40
109
99
99
0
124
222
751.2
Pre
cont
40
109
667
148
49
74
272
670.8
Post1
cont
40
110
593
99
49
99
247
853.2
Post7
cont
40
110
469
74
49
99
222
954.9
Pre
cont
40
110
642
99
49
99
247
864.2
Post1
cont
40
111
766
99
74
49
222
382.5
Post7
cont
40
111
741
99
74
49
222
424.6
Pre
cont
40
111
519
99
99
25
222
374.9
Post1
cont
40
112
5,980
74
74
25
173
238.1
Post7
cont
40
112
1,779
49
74
25
148
266.5
Pre
cont
40
112
7,957
49
99
25
173
250.9
Post1
cont
40
113
99
173
173
25
371
750.4
Post7
cont
40
113
74
173
148
49
371
847.9
Pre
cont
40
113
99
173
173
25
371
717.1
Post1
cont
40
114
9,019
148
49
0
198
154.8
Post7
cont
40
114
2,570
124
74
25
222
226.7
Pre
cont
40
114
6,054
148
49
0
198
147.6
Post1
cont
40
115
2,397
247
74
0
321
441.8
Post7
cont
40
115
124
247
99
0
346
516.7
Pre
cont
40
115
1,433
222
74
0
297
425.2
Post1
cont
40
116
2,842
395
25
0
420
418.3
Post7
cont
40
116
371
321
49
0
371
457.4
Pre
cont
40
116
2,595
395
25
0
420
365.8
Post1
fire
60
21
74
173
25
25
222
329.2
Post7
fire
60
21
74
74
25
49
148
333.8
Pre
fire
60
21
692
148
25
25
198
349
Post1
fire
60
27
25
74
74
0
148
112.8
Post7
fire
60
27
25
25
99
0
124
124
Pre
fire
60
27
1,013
74
74
0
148
105.2
Post1
fire
60
101
618
222
49
0
272
141.5
Post7
fire
60
101
568
222
49
0
272
172.9
Pre
fire
60
101
890
198
49
0
247
137.2
Post1
fire
60
102
99
247
25
49
321
450.1
Post7
fire
60
102
2,002
198
0
25
222
258.9
Pre
fire
60
102
494
222
25
49
297
439.4
Post1
fire
60
103
99
124
99
0
222
247.8
Post7
fire
60
103
25
99
74
25
198
225.7
Pre
fire
60
103
865
124
99
0
222
248.5
Post1
fire
60
104
148
74
74
0
148
136
Post7
fire
60
104
99
49
99
0
148
190.2
Pre
fire
60
104
148
99
49
0
148
127.3
Post1
fire
60
105
99
222
49
0
272
214.8
Post7
fire
60
105
99
173
49
25
247
265.7
Pre
fire
60
105
939
222
49
0
272
211
Post1
fire
60
106
198
198
74
0
272
256.1
Post7
fire
60
106
74
148
148
0
297
286
Pre
fire
60
106
469
222
49
0
272
247.2
Post1
fire
60
107
3,089
99
0
25
124
117.2
Post7
fire
60
107
99
99
0
25
124
143.4
Pre
fire
60
107
5,832
99
25
0
124
109.7
Post1
fire
60
108
25
74
25
0
99
114.5
Post7
fire
60
108
0
74
25
0
99
143.1
Pre
fire
60
108
1,161
74
25
0
99
125
Post1
fire
60
109
25
99
99
25
222
385.8
Post7
fire
60
109
0
49
99
49
198
412.8
Pre
fire
60
109
148
124
74
25
222
373.6
Post1
fire
60
111
49
173
49
0
222
237.4
Post7
fire
60
111
0
148
25
25
198
238.1
Pre
fire
60
111
74
173
49
0
222
223.5
Post1
fire
60
112
25
99
99
0
198
206.5
Post7
fire
60
112
0
74
99
0
173
234.9
Pre
fire
60
112
272
124
99
0
222
243.4
Post1
fire
60
113
25
0
99
25
124
236.9
End of preview.

Publication Details Title:Forest structure and tree ring widths from the Fire and Fire Surrogate Study - Blodgett Forest SiteAuthor(s):Collins, Brandon M.; Das, Adrian J.; Battles, John J.; Fry, Danny L.; Krasnow, Kevin D.; Stephens, Scott L.Publication Year:2014How to Cite:These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the citation below when citing the data product: Collins, Brandon M.; Das, Adrian J.; Battles, John J.; Fry, Danny L.; Krasnow, Kevin D.; Stephens, Scott L. 2014. Forest structure and tree ring widths from the Fire and Fire Surrogate Study - Blodgett Forest Site. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2014-0023

Abstract:This data publication contains tree density and biomass, shrub cover, and tree ring widths measured at the Blodgett Forest Research Station in the northern Sierra Nevada in California between 2001 and 2009. Plot treatments included mechanical, fire, mechanical followed by prescribed fire, and a control. Both pre- and post-treatment data are included. Specifically, the following plot-level data are included: 1) pre- and post-treatment (3 and 7 year) live tree density (in four size classes); 2) pre- and post-treatment (3 and 7 year) live tree biomass; 3) post-treatment (7 year) shrub cover; and 4) post-treatment (7 year) large snag. Tree ring widths from increment cores collected at each plot are also included.

Keywords:biota; environment; Natural Resource Management and Use; Forest management; mixed-conifer forest; fuel treatments; prescribed fire; sugar pine; Pinus lambertiana; ponderosa pine; Pinus ponderosa; white fir; Abies concolor; incense-cedar; Calocedrus decurrens; Douglas-fir; Pseudotsuga menziesii; Joint Fire Science Program; JFSP; Sierra Nevada; California; Blodgett Forest SiteRelated publications:

Collins, Brandon M.; Das, Adrian J.; Battles, John J.; Fry, Danny L.; Krasnow, Kevin D.; Stephens, Scott L. 2014. Beyond reducing fire hazard: fuel treatment impacts on overstory tree survival. Ecological Applications. 24(8):1879–1886. https://doi.org/10.1890/14-0971.1

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