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khammami/forcis

Dataset Card for Processed FORCIS Data Dataset Name: Processed FORCIS Data Source: FRBCesab/forcis (originally from Zenodo: https://zenodo.org/records/12724286) Description: This dataset is a processed version of the FORCIS data, obtained from Zenodo. The original data uses a custom delimiter (;) and may contain leading/trailing whitespace and special characters. This processed version addresses these issues and provides a clean, comma-separated values (CSV) format for easier… See the full description on the dataset page: https://huggingface.co/datasets/khammami/forcis.

sourceHugging Facegpl-2.0updated 2y agoView on Hugging Face
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Dataset Card

Dataset Card for Processed FORCIS Data

Dataset Name: Processed FORCIS Data

Source: FRBCesab/forcis (originally from Zenodo: https://zenodo.org/records/12724286)

Description:

This dataset is a processed version of the FORCIS data, obtained from Zenodo. The original data uses a custom delimiter (;) and may contain leading/trailing whitespace and special characters. This processed version addresses these issues and provides a clean, comma-separated values (CSV) format for easier use.

Processing Steps:

The processing steps involved:

  1. 1.Data Acquisition: Downloaded the FORCIS data from Zenodo.
  2. 2.Cleaning:
  3. 3.Removed leading/trailing whitespace from each line.
  4. 4.Escaped special characters for safekeeping.
  5. 5.Formatting:
  6. 6.Converted the data to comma-separated values (CSV) format.
  7. 7.Missing Value Correction:
  • Added a "data_type" column where missing in some CSVs
  • Validated data consistency across all columns

Data Format:

  • Format: Comma-separated values (CSV)
  • Encoding: UTF-8
  • Line endings: LF (Unix-style)
  • First row: Header with column names
  • Missing values: Represented as "NA"

License:

This processed dataset is available under GPL-2.0 license. For the original FORCIS data license terms, please refer to the Zenodo repository at doi.org/10.5281/zenodo.12724286.

Usage Notes:

  • This dataset is intended for researchers and data scientists interested in working with the FORCIS data
  • Familiarity with the original FORCIS data structure is recommended for optimal use
  • Each CSV contains consistent column headers and data types
  • Data types include:
  • Numeric: Float and Integer values
  • Categorical: String values
  • Temporal: Date/Time values
  • Missing values (NA) should be handled appropriately in analysis
  • Consider memory requirements when loading the complete merged dataset

Citation:

To acknowledge the use of this processed FORCIS data, please cite:

  1. 1.Original Dataset (v10): <https://doi.org/10.5281/zenodo.12724286>
  1. 1.Processed Dataset:
bibtex
   @dataset{processed_forcis_2024,
    title={Processed FORCIS Data},
    author={Hammami, Khalil},
    version={1.0},
    note={Based on FORCIS v10},
    year={2024},
    publisher={Hugging Face},
    url={<https://huggingface.co/datasets/khammami/forcis}>
    }