ada08e7ec4
Add 6 new data collection pipelines and their processed outputs: Sources added: - TESS/Stars4All photometer network: 37 months (Jun 2017-Aug 2020), ~40k raw events from 100+ European stations via Zenodo archives - Globe at Night citizen science: 26k twilight observations (2006-2024), filtered from 308k total observations for solar depression 6-22 deg - GaN-MN continuous monitoring: 45 months (Jan 2022-Sep 2025), ~12.5k twilight events from 88 stations across 20+ countries - Galicia SQM network: 14 stations, 1-min resolution, 7.5k events - Madrid/Majadahonda SQM: multi-year continuous monitoring, 3.1k events - washetdonker.nl Netherlands: 7 stations, 3.3k morning events - Academic papers: Jordan (Abed 2015), Fayum Egypt, India photometer Pipeline changes: - ingest.py: add all new files to APPROVED_RAW_CSVS allowlist, fix filter to use allowlist instead of hardcoded exclusions - .gitignore: exclude bulk raw data directories (BSRN, TESS, GaN-MN, washetdonker, Globe at Night downloads) Final dataset: 56,668 Fajr + 34,763 Isha = 91,431 total records Previous: 5,871 Fajr + 46 Isha = 5,917 total records
1.1 KiB
Sky Brightness Contrast Measurement before Sunrise and after Sunset over a Baghdad Region
Authors: Unknown (Iraqi researchers) Year: ~2021 Journal: Unknown (possibly Iraqi Journal of Science or Journal of Physics: Conference Series) URL: Could not locate on ResearchGate, Google Scholar, or direct search Sites studied: Baghdad, Iraq (~33 20'N, 44 23'E) Observation method: Sky brightness measurement (likely SQM) Date range: ~2 nights Records: Minimal (2 nights)
Status
COULD NOT LOCATE PAPER. Searched:
- ResearchGate (403 blocked)
- Google Scholar (JavaScript required, no results in static HTML)
- Direct DOI search (no DOI known)
- PubMed (not indexed)
The paper title and approximate details were provided but no accessible URL could be found. The paper reportedly covers only 2 nights of data from Baghdad, which would provide minimal additional training value.
For ML Training
Even if found, 2 nights of data from a single urban location provides very limited training value. Low priority for further search. Baghdad coordinates (33.33N, 44.38E) and UTC+3 are noted for reference.