POEMAS Solar Radio Data - 1s Resolution (2024-10-01)
Derived solar radio time series generated from POEMAS high-frequency acquisition. This dataset is structured for solar flare analysis, radio astronomy, time series modeling, machine learning, and scientific data engineering workflows.
Dataset Summary
Description
This dataset contains derived solar radio observations from the POEMAS instrument, aggregated at 1-second resolution from high-frequency 10ms acquisition. The aggregation strategy applies median reduction over non-overlapping windows, preserving relevant temporal patterns while reducing noise and stabilizing the resulting time series.
The dataset is suitable for solar flare detection and analysis, radio astronomy studies, time series modeling, signal exploration, machine learning experiments, and data engineering workflows involving real scientific observations.
Data Structure
The file is distributed as CSV with pipe (|) delimiter and UTF-8 encoding. It includes a metadata header and observation data fields.
Core observation fields
- ISO_DATETIME — Timestamp in ISO 8601 format with milliseconds
- TBMAX — Maximum brightness temperature in Kelvin
- TBMIN — Minimum brightness temperature in Kelvin
- NFREQ — Number of observed frequencies
- ELE — Telescope elevation angle in degrees
- AZI — Telescope azimuth angle in degrees
- TBL45 — Left polarization brightness temperature at 45 GHz
- TBR45 — Right polarization brightness temperature at 45 GHz
- TBL90 — Left polarization brightness temperature at 90 GHz
- TBR90 — Right polarization brightness temperature at 90 GHz
Use Cases
- Solar flare detection and analysis
- Solar radio emission studies
- Radio astronomy exploratory workflows
- Time series analysis and forecasting experiments
- Machine learning pipelines using scientific data
- Data engineering validation using real-world observational datasets
Access and External References
Official file hosted within the MackSun dataset structure.
https://www.macksun.org/datasets/poemas-2024-10-01-1s/files/POEMAS_derived_1s_CSV_71df02fe5fee.csv.zipPublic distribution for broader discovery and applied data workflows.
KAGGLEPersistent DOI-based scientific reference for citation and archival access.
https://doi.org/10.5281/zenodo.19599749Experimental validation related to infrastructure constraints and processing strategy.
https://www.sciencedirect.com/science/article/pii/S221313372500126XDocumentation
Full data format specifications, telescope file structure, metadata conventions, and additional usage examples are available in the MackSun wiki.
Technical specification for telescope file formats and field organization.
https://www.macksun.org/pages/wiki/arquivos-telescopios.htmlAdditional examples, project documentation, and supporting information.
https://www.macksun.org/pages/wiki/index.htmlAbout MackSun
MackSun is a solar data platform focused on ingestion, processing, organization, and availability of high-frequency solar time series data. The platform is designed to support scientific research, reproducible data workflows, and large-scale data engineering scenarios without requiring HPC infrastructure.
Explore the full platform: