Datasets:

THULab
/

cdaw_lasco_cme_catalog

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 318, in _scan_metadata
                  with self._open_reader(file) as reader:
                       ~~~~~~~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 742, in _open_reader
                  return TsFileReader(file)
                File "tsfile/tsfile_reader.pyx", line 364, in tsfile.tsfile_reader.TsFileReaderPy.__init__
                File "tsfile/tsfile_reader.pyx", line 367, in tsfile.tsfile_reader.TsFileReaderPy.init_reader
                File "tsfile/tsfile_py_cpp.pyx", line 789, in tsfile.tsfile_py_cpp.tsfile_reader_new_c
                File "tsfile/tsfile_py_cpp.pyx", line 55, in tsfile.tsfile_py_cpp.check_error
              tsfile.exceptions.FileOpenError: 28: Failed to open file
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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SOHO/LASCO Coronal Mass Ejection Catalog (CDAW) (TsFile)

Apache TsFile version of juliensimon/cdaw-lasco-cme-catalog.

Overview

The SOHO/LASCO CME Catalog from the NASA CDAW Data Center — every coronal mass ejection manually identified in the SOHO Large Angle and Spectrometric Coronagraph (LASCO) C2 and C3 white-light coronagraph images from January 1996 through the current data release.

Tables: cdaw_lasco_cme_catalog
Rows: 42,744 across 1 TsFile table(s).
- cdaw_lasco_cme_catalog: 42,744 rows, 1996-01-11 00:14:36 → 2026-02-28 20:24:31 (UTC)

Schema (TsFile structure)

`cdaw_lasco_cme_catalog.tsfile`

Time (INT64, milliseconds) — the source datetime_utc timestamp as INT64 milliseconds.
TAG: none — the table is a single device / single series.
FIELD (17): date_utc (string), time_utc (string), year (int64), central_position_angle_deg (double), angular_width_deg (double), linear_speed_kms (double), second_order_speed_initial_kms (double), second_order_speed_final_kms (double), second_order_speed_20rs_kms (double), acceleration_ms2 (double), mass_g (double), mass_quality_flag (int64), kinetic_energy_erg (double), kinetic_energy_quality_flag (int64), remarks (string), is_halo (int64), is_poor_event (int64)

Conversion notes

One TsFile (cdaw_lasco_cme_catalog.tsfile) holding the CDAW LASCO coronal mass ejection catalogue; one row per catalogued event, single device (no TAG).
Time is the source datetime_utc timestamp as INT64 milliseconds.
All source columns are kept; no column is dropped.
Not converted: banner.jpg — image asset, not time series; not downloaded.

Usage

Install the Apache TsFile Python SDK (pip install tsfile) and read a converted file:

from pathlib import Path
from tsfile import TsFileReader

path = Path("cdaw_lasco_cme_catalog.tsfile")
with TsFileReader(str(path)) as reader:
    schemas = reader.get_all_table_schemas()
    print("tables:", list(schemas))
    table_name = next(iter(schemas))
    table = schemas[table_name]
    columns = [column.get_column_name() for column in table.get_columns()]
    print("columns:", columns)
    field_names = [
        column.get_column_name()
        for column in table.get_columns()
        if column.get_column_name() not in {"Time", "time"}
    ]
    if field_names:
        with reader.query_table(table_name, field_names[:3], batch_size=1024) as result:
            batch = result.read_arrow_batch()
            if batch is not None:
                print(batch.to_pandas().head())

Source & license

Original dataset: juliensimon/cdaw-lasco-cme-catalog
Source card title / publisher: SOHO/LASCO Coronal Mass Ejection Catalog (CDAW)
License: cc-by-4.0 (as declared by the original dataset).

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Total file size:

1.87 MB