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unisa-cau-thermal-eis-ncr18650b-2025-raw

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Cannot load the dataset split (in streaming mode) to extract the first rows.

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
completed_at_utc: timestamp[s]
doi: string
errors: list<item: null>
  child 0, item: null
final_status_uploaded_at_utc: timestamp[s]
hf_file_count: int64
hf_file_count_before_retry: int64
hf_files: list<item: string>
  child 0, item: string
hf_files_before_retry: list<item: string>
  child 0, item: string
large_upload_retry_method: string
license: string
license_url: string
license_verified: bool
missing_expected_files: list<item: null>
  child 0, item: null
repo_id: string
repo_private_before_retry: bool
residual_risks: list<item: string>
  child 0, item: string
source_files_uploaded: list<item: string>
  child 0, item: string
source_url: string
started_at_utc: timestamp[s]
status: string
uploaded_payload_bytes: int64
uploaded_payload_file_count: int64
uploaded_payload_file_details: list<item: struct<bytes: int64, path: string, sha256: string>>
  child 0, item: struct<bytes: int64, path: string, sha256: string>
      child 0, bytes: int64
      child 1, path: string
      child 2, sha256: string
uploaded_payload_files: list<item: string>
  child 0, item: string
visibility_changed: bool
visibility_initial: string
source_files: list<item: struct<bytes: int64, path: string, sha256: string>>
  child 0, item: struct<bytes: int64, path: string, sha256: string>
      child 0, bytes: int64
      child 1, path: string
      child 2, sha256: string
official_derivate_id: string
publisher: string
official_derivate_zip_url: string
bsebench_status: string
institutions: list<item: string>
  child 0, item: string
downloaded_at_utc: timestamp[s]
generated_files_note: string
creators: list<item: string>
  child 0, item: string
zip_validation: struct<member_count: int64, method: string, testzip_bad_file: null>
  child 0, member_count: int64
  child 1, method: string
  child 2, testzip_bad_file: null
title: string
doi_url: string
payload_preservation: string
source_md5_note: string
publication_date: timestamp[s]
official_object_id: string
official_md5_url: string
source: string
to
{'bsebench_status': Value('string'), 'creators': List(Value('string')), 'doi': Value('string'), 'doi_url': Value('string'), 'downloaded_at_utc': Value('timestamp[s]'), 'generated_files_note': Value('string'), 'institutions': List(Value('string')), 'license': {'id': Value('string'), 'redistribution_permissive': Value('bool'), 'url': Value('string'), 'verification_basis': List(Value('string')), 'verified': Value('bool')}, 'official_derivate_id': Value('string'), 'official_derivate_zip_url': Value('string'), 'official_md5_url': Value('string'), 'official_object_id': Value('string'), 'payload_preservation': Value('string'), 'publication_date': Value('timestamp[s]'), 'publisher': Value('string'), 'repo_id': Value('string'), 'residual_risks': List(Value('string')), 'source': Value('string'), 'source_files': List({'bytes': Value('int64'), 'path': Value('string'), 'sha256': Value('string')}), 'source_md5_note': Value('string'), 'source_url': Value('string'), 'title': Value('string'), 'zip_validation': {'member_count': Value('int64'), 'method': Value('string'), 'testzip_bad_file': Value('null')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              completed_at_utc: timestamp[s]
              doi: string
              errors: list<item: null>
                child 0, item: null
              final_status_uploaded_at_utc: timestamp[s]
              hf_file_count: int64
              hf_file_count_before_retry: int64
              hf_files: list<item: string>
                child 0, item: string
              hf_files_before_retry: list<item: string>
                child 0, item: string
              large_upload_retry_method: string
              license: string
              license_url: string
              license_verified: bool
              missing_expected_files: list<item: null>
                child 0, item: null
              repo_id: string
              repo_private_before_retry: bool
              residual_risks: list<item: string>
                child 0, item: string
              source_files_uploaded: list<item: string>
                child 0, item: string
              source_url: string
              started_at_utc: timestamp[s]
              status: string
              uploaded_payload_bytes: int64
              uploaded_payload_file_count: int64
              uploaded_payload_file_details: list<item: struct<bytes: int64, path: string, sha256: string>>
                child 0, item: struct<bytes: int64, path: string, sha256: string>
                    child 0, bytes: int64
                    child 1, path: string
                    child 2, sha256: string
              uploaded_payload_files: list<item: string>
                child 0, item: string
              visibility_changed: bool
              visibility_initial: string
              source_files: list<item: struct<bytes: int64, path: string, sha256: string>>
                child 0, item: struct<bytes: int64, path: string, sha256: string>
                    child 0, bytes: int64
                    child 1, path: string
                    child 2, sha256: string
              official_derivate_id: string
              publisher: string
              official_derivate_zip_url: string
              bsebench_status: string
              institutions: list<item: string>
                child 0, item: string
              downloaded_at_utc: timestamp[s]
              generated_files_note: string
              creators: list<item: string>
                child 0, item: string
              zip_validation: struct<member_count: int64, method: string, testzip_bad_file: null>
                child 0, member_count: int64
                child 1, method: string
                child 2, testzip_bad_file: null
              title: string
              doi_url: string
              payload_preservation: string
              source_md5_note: string
              publication_date: timestamp[s]
              official_object_id: string
              official_md5_url: string
              source: string
              to
              {'bsebench_status': Value('string'), 'creators': List(Value('string')), 'doi': Value('string'), 'doi_url': Value('string'), 'downloaded_at_utc': Value('timestamp[s]'), 'generated_files_note': Value('string'), 'institutions': List(Value('string')), 'license': {'id': Value('string'), 'redistribution_permissive': Value('bool'), 'url': Value('string'), 'verification_basis': List(Value('string')), 'verified': Value('bool')}, 'official_derivate_id': Value('string'), 'official_derivate_zip_url': Value('string'), 'official_md5_url': Value('string'), 'official_object_id': Value('string'), 'payload_preservation': Value('string'), 'publication_date': Value('timestamp[s]'), 'publisher': Value('string'), 'repo_id': Value('string'), 'residual_risks': List(Value('string')), 'source': Value('string'), 'source_files': List({'bytes': Value('int64'), 'path': Value('string'), 'sha256': Value('string')}), 'source_md5_note': Value('string'), 'source_url': Value('string'), 'title': Value('string'), 'zip_validation': {'member_count': Value('int64'), 'method': Value('string'), 'testzip_bad_file': Value('null')}}
              because column names don't match

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UNISA-CAU thermo-electrochemical impedance spectroscopy NCR18650B dataset raw mirror

BSEBench status: raw_mirror_pending_validation

This dataset repository is a raw mirror of the Kiel University OpenData record for the UNISA-CAU thermo-electrochemical impedance spectroscopy dataset for NCR18650B Li-ion batteries. The source describes CCCV cycles and EIS experiments under multiple temperature and state-of-charge conditions on four Li-ion cells, performed at Kiel University in cooperation with the University of Salerno.

Source

Source record: https://opendata.uni-kiel.de/receive/fdr_mods_00000111
DOI: https://doi.org/10.57892/100-111
Publisher: Kiel University
Publication date: 2025-01-27
Source object: fdr_mods_00000111
Source derivate: fdr_derivate_00000110
Downloaded: 2026-05-08T11:23:25Z

License

Kiel OpenData metadata identifies the license as CC BY 4.0. Verification artifacts are preserved in this repository:

source_page.html includes DOI metadata and DC.rights pointing to https://creativecommons.org/licenses/by/4.0/.
source_datacite.xml lists rightsIdentifier="CC-BY-4.0" and the Creative Commons BY 4.0 rights URI.
source_mods.xml includes the DOI and a license classification for cc_by_4.0.

Users of this mirror are responsible for following the CC BY 4.0 attribution requirements.

Mirrored Files

source_derivate_fdr_derivate_00000110.zip: official derivate ZIP downloaded from Kiel OpenData. This archive is preserved without extraction or recompression.
source_derivate_fdr_derivate_00000110.md5: official Kiel OpenData MD5SUMS file for the derivate contents.
source_page.html: downloaded source landing page.
source_mods.xml: MODS metadata export from the source record.
source_datacite.xml: DataCite metadata export from the source record.
ZIP_CONTENTS.json: local validation summary of the derivate ZIP members.
SHA256SUMS.txt: SHA-256 checksums generated for mirrored files.
BSEBENCH_SOURCE.json: machine-readable BSEBench provenance.

The official derivate ZIP contains the original archive Copia di 250121-Dataset UNISA-CAU.zip and UNISA CAU dataset.txt. The source-provided MD5 file lists checksums for those contained files, while SHA256SUMS.txt records checksums for the uploaded mirror files.

Citation

Mattia, Luigi; Beiranvand, Hamzeh; Liserre, Marco; Zamboni, Walter. UNISA-CAU Thermo-Electrochemical Impedance Spectroscopy Dataset for NCR18650B Li-ion batteries. Kiel University OpenData, 2025. DOI: 10.57892/100-111.

Validation Status

This is a raw mirror pending BSEBench validation. No benchmark results, model comparisons, performance claims, or leaderboard conclusions are included.

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