Quasi-periodic Spin Down Variations in 17 Pulsars from Keith & Nitu 2023

Spindown time-series for 17 pulsars, as computed by M. J. Keith from the University of Manchester in 2023. The data includes Modified Julian Date (MJD), frequency-derivative values, and associated errors for each pulsar. It was sourced from the paperswithcode platform and is available under an Open Access (green) license.

Use Cases

• Modeling pulsar timing noise based on frequency-derivative time-series.
• Analyzing quasi-periodic variations in spin-down rates based on the provided MJD and derivative values.
• Investigating neutron star glitch recovery or long-term spin evolution based on the frequency-derivative error estimates.

Strengths

• Data is derived from a specific 2023 computational study by Keith & Nitu, providing a clear provenance.
• Includes error estimates for the frequency-derivative measurements, which is important for uncertainty analysis.

Limitations

• The number of rows and overall dataset size are unknown, limiting suitability assessment for large-scale analysis.
• Column-level documentation beyond the three named columns (MJD, frequency-derivative, error) is absent; field semantics must be fully inferred after download.
• The last update date is unknown, so data freshness is unverified.

Provenance

Source

M. J. Keith, University of Manchester

Collection Method

Spindown time-series as computed in Keith & Nitu 2023.