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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 10 new columns ({'HSCaged2', 'HSCaged1', 'HSCyoung2', 'HSCrhoai2', 'HSCyoung1', 'HSCaged3', 'gene_id', 'HSCrhoai3', 'HSCyoung3', 'HSCrhoai1'}) and 22 missing columns ({'title_short', 'strain', 'specimen', 'platform', 'age', 'instrument', 'condition', 'treatment', 'time', 'group', 'original_sample_id', 'organism', 'cell_type', 'batch', 'source_file', 'sample_description', 'assay', 'sample_id', 'tissue', 'src_batch', 'study_id', 'characteristics'}).

This happened while the csv dataset builder was generating data using

hf://datasets/omicseye/statLens-evaluation-data-example/GSE233985/omics_feature_matrix.tsv (at revision 83a2c591f39a52a4e141361b396d3a2ef52251a2), ['hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE233985/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE233985/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE244440/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE244440/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE267256/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE267256/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273740/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273740/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273742/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273742/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273744/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273744/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE275234/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE275234/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE278237/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE278237/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE278238/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE278238/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE296350/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE296350/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE296351/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE296351/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE303503/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE303503/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE304598_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE304598_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE304598_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE304598_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE306518/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE306518/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE309123/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE309123/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE309279/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE309279/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310845/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310845/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310856_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310856_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310856_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310856_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311068/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311068/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311364/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311364/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311365/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311365/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE312800/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE312800/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE313291/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE313291/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE315271/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE315271/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE315958/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE315958/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE316594/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE316594/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317276_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317276_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317276_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317276_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317337/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317337/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317628/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317628/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE318337/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE318337/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322523_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322523_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322523_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322523_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322686/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322686/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c3/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c3/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322773/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322773/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324273/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324273/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324475_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324475_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324475_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324475_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324927/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324927/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE325732/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE325732/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326178/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326178/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326337/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326337/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326625/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326625/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326789_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326789_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326789_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326789_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327232/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327232/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327245/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327245/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327790/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327790/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328094/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328094/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328387/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328387/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328831/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328831/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE333173/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE333173/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/tasks.csv']

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 "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 784, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 795, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              gene_id: string
              HSCaged1: int64
              HSCaged2: int64
              HSCaged3: int64
              HSCrhoai1: int64
              HSCrhoai2: int64
              HSCrhoai3: int64
              HSCyoung1: int64
              HSCyoung2: int64
              HSCyoung3: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1424
              to
              {'sample_id': Value('string'), 'group': Value('string'), 'time': Value('string'), 'batch': Value('string'), 'original_sample_id': Value('string'), 'study_id': Value('string'), 'organism': Value('string'), 'tissue': Value('string'), 'specimen': Value('string'), 'cell_type': Value('string'), 'treatment': Value('string'), 'age': Value('string'), 'src_batch': Value('string'), 'platform': Value('string'), 'assay': Value('string'), 'source_file': Value('string'), 'title_short': Value('string'), 'sample_description': Value('string'), 'instrument': Value('string'), 'strain': Value('string'), 'characteristics': Value('string'), 'condition': Value('string')}
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 10 new columns ({'HSCaged2', 'HSCaged1', 'HSCyoung2', 'HSCrhoai2', 'HSCyoung1', 'HSCaged3', 'gene_id', 'HSCrhoai3', 'HSCyoung3', 'HSCrhoai1'}) and 22 missing columns ({'title_short', 'strain', 'specimen', 'platform', 'age', 'instrument', 'condition', 'treatment', 'time', 'group', 'original_sample_id', 'organism', 'cell_type', 'batch', 'source_file', 'sample_description', 'assay', 'sample_id', 'tissue', 'src_batch', 'study_id', 'characteristics'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/omicseye/statLens-evaluation-data-example/GSE233985/omics_feature_matrix.tsv (at revision 83a2c591f39a52a4e141361b396d3a2ef52251a2), ['hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE233985/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE233985/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE244440/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE244440/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE267256/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE267256/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273740/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273740/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273742/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273742/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273744/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE273744/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE275234/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE275234/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE278237/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE278237/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE278238/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE278238/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE296350/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE296350/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE296351/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE296351/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE303503/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE303503/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE304598_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE304598_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE304598_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE304598_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE306518/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE306518/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE309123/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE309123/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE309279/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE309279/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310845/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310845/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310856_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310856_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310856_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE310856_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311068/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311068/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311364/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311364/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311365/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE311365/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE312800/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE312800/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE313291/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE313291/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE315271/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE315271/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE315958/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE315958/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE316594/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE316594/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317276_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317276_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317276_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317276_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317337/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317337/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317628/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE317628/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE318337/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE318337/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322523_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322523_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322523_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322523_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322686/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322686/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE322737_c2/omics_feature_matrix.tsv', 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'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324475_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324475_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324475_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324927/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE324927/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE325732/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE325732/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326178/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326178/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326337/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326337/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326625/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326625/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326789_c1/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326789_c1/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326789_c2/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE326789_c2/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327232/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327232/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327245/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327245/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327790/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE327790/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328094/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328094/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328387/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328387/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328831/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE328831/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE333173/metadata.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/GSE333173/omics_feature_matrix.tsv', 'hf://datasets/omicseye/statLens-evaluation-data-example@83a2c591f39a52a4e141361b396d3a2ef52251a2/tasks.csv']
              
              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.

sample_id
string
group
string
time
string
batch
string
original_sample_id
string
study_id
string
organism
string
tissue
string
specimen
string
cell_type
string
treatment
string
age
string
src_batch
string
platform
string
assay
string
source_file
string
title_short
string
sample_description
string
instrument
string
strain
string
characteristics
string
condition
string
HSCaged1
control
>80 weeks old
1
RNA-Seq - HSC - aged control 1
GSE233985
Mus musculus
Bone marrow
Bone marrow
Hemtopoietic stem cells
control
>80 weeks old
1
GPL21626
RNA-Seq
GSE233985_series_matrix.txt.gz
RNA-Seq - HSC - aged control 1
HSCaged1
NextSeq 550
C57BL/6
tissue=Bone marrow; strain=C57BL/6; cell type=Hemtopoietic stem cells; age=>80 weeks old; treatment=control; sequencing batch=1
aged_control
HSCaged2
control
>80 weeks old
2
RNA-Seq - HSC - aged control 2
GSE233985
Mus musculus
Bone marrow
Bone marrow
Hemtopoietic stem cells
control
>80 weeks old
2
GPL21626
RNA-Seq
GSE233985_series_matrix.txt.gz
RNA-Seq - HSC - aged control 2
HSCaged2
NextSeq 550
C57BL/6
tissue=Bone marrow; strain=C57BL/6; cell type=Hemtopoietic stem cells; age=>80 weeks old; treatment=control; sequencing batch=2
aged_control
HSCaged3
control
>80 weeks old
3
RNA-Seq - HSC - aged control 3
GSE233985
Mus musculus
Bone marrow
Bone marrow
Hemtopoietic stem cells
control
>80 weeks old
3
GPL21626
RNA-Seq
GSE233985_series_matrix.txt.gz
RNA-Seq - HSC - aged control 3
HSCaged3
NextSeq 550
C57BL/6
tissue=Bone marrow; strain=C57BL/6; cell type=Hemtopoietic stem cells; age=>80 weeks old; treatment=control; sequencing batch=3
aged_control
HSCrhoai1
RhoA-inhibitor (Ri) treatment
>80 weeks old
1
RNA-Seq - HSC - aged + RhoA-inhibitor (Ri) 1
GSE233985
Mus musculus
Bone marrow
Bone marrow
Hemtopoietic stem cells
RhoA-inhibitor (Ri) treatment
>80 weeks old
1
GPL21626
RNA-Seq
GSE233985_series_matrix.txt.gz
RNA-Seq - HSC - aged + RhoA-inhibitor (Ri) 1
HSCrhoai1
NextSeq 550
C57BL/6
tissue=Bone marrow; strain=C57BL/6; cell type=Hemtopoietic stem cells; age=>80 weeks old; treatment=RhoA-inhibitor (Ri) treatment; sequencing batch=1
aged_Ri
HSCrhoai2
RhoA-inhibitor (Ri) treatment
>80 weeks old
2
RNA-Seq - HSC - aged + RhoA-inhibitor (Ri) 2
GSE233985
Mus musculus
Bone marrow
Bone marrow
Hemtopoietic stem cells
RhoA-inhibitor (Ri) treatment
>80 weeks old
2
GPL21626
RNA-Seq
GSE233985_series_matrix.txt.gz
RNA-Seq - HSC - aged + RhoA-inhibitor (Ri) 2
HSCrhoai2
NextSeq 550
C57BL/6
tissue=Bone marrow; strain=C57BL/6; cell type=Hemtopoietic stem cells; age=>80 weeks old; treatment=RhoA-inhibitor (Ri) treatment; sequencing batch=2
aged_Ri
HSCrhoai3
RhoA-inhibitor (Ri) treatment
>80 weeks old
2
RNA-Seq - HSC - aged + RhoA-inhibitor (Ri) 3
GSE233985
Mus musculus
Bone marrow
Bone marrow
Hemtopoietic stem cells
RhoA-inhibitor (Ri) treatment
>80 weeks old
2
GPL21626
RNA-Seq
GSE233985_series_matrix.txt.gz
RNA-Seq - HSC - aged + RhoA-inhibitor (Ri) 3
HSCrhoai3
NextSeq 550
C57BL/6
tissue=Bone marrow; strain=C57BL/6; cell type=Hemtopoietic stem cells; age=>80 weeks old; treatment=RhoA-inhibitor (Ri) treatment; sequencing batch=2
aged_Ri
HSCyoung1
control
10-16 weeks old
1+3
RNA-Seq - HSC - young control 1
GSE233985
Mus musculus
Bone marrow
Bone marrow
Hemtopoietic stem cells
control
10-16 weeks old
1+3
GPL21626
RNA-Seq
GSE233985_series_matrix.txt.gz
RNA-Seq - HSC - young control 1
HSCyoung1
NextSeq 550
C57BL/6
tissue=Bone marrow; strain=C57BL/6; cell type=Hemtopoietic stem cells; age=10-16 weeks old; treatment=control; sequencing batch=1+3
young_control
HSCyoung2
control
10-16 weeks old
2
RNA-Seq - HSC - young control 2
GSE233985
Mus musculus
Bone marrow
Bone marrow
Hemtopoietic stem cells
control
10-16 weeks old
2
GPL21626
RNA-Seq
GSE233985_series_matrix.txt.gz
RNA-Seq - HSC - young control 2
HSCyoung2
NextSeq 550
C57BL/6
tissue=Bone marrow; strain=C57BL/6; cell type=Hemtopoietic stem cells; age=10-16 weeks old; treatment=control; sequencing batch=2
young_control
HSCyoung3
control
10-16 weeks old
3
RNA-Seq - HSC - young control 3
GSE233985
Mus musculus
Bone marrow
Bone marrow
Hemtopoietic stem cells
control
10-16 weeks old
3
GPL21626
RNA-Seq
GSE233985_series_matrix.txt.gz
RNA-Seq - HSC - young control 3
HSCyoung3
NextSeq 550
C57BL/6
tissue=Bone marrow; strain=C57BL/6; cell type=Hemtopoietic stem cells; age=10-16 weeks old; treatment=control; sequencing batch=3
young_control
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