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
Identified three sources of cross-source duplication and fixed each:
1. Kassim Bahali 2018 Pekan Pahang (9 records)
Same 9 June-July 2017 DSLR observations existed in both
verified_sightings.py (Table 2 entries) and the raw CSV
kassim_bahali_2017_malaysia.csv. Removed from verified_sightings;
raw CSV is the canonical source with richer cloud/conditions notes.
2. BRIN Mount Timau SQM dataset (22 records)
timau_sqm_fajr.csv contained two SQM threshold readings per night:
target=18.0° (75 records, primary) and target=16.51° (22 records,
derived from the 75-night mean). Removed target=16.51 rows.
Each night now has exactly one Fajr time.
3. Khalifa 2018 Hail Fajr (4 records)
Original batch had times producing implausible angles: 2015-01-15
gave 12.6° and 2015-06-21 gave 19.3° (paper reports 14.014°±0.317°).
Removed the four bad-time records. Batch 16a replacements (computed
from the paper mean D0) remain and give consistent 13.9-14.1° angles.
Pipeline: add automatic deduplication guard. After combining all sources,
any (prayer, date, lat rounded to 3dp, lng rounded to 3dp) duplicate is
logged and dropped (keep first). This prevents future cross-source overlaps
from silently inflating the dataset or training on the same observation twice.
Dataset: fajr_angles.csv 4535 records, isha_angles.csv 120 records
Zero duplicates confirmed.
Replaces the original JS calibration library with a pure Python pipeline
for collecting and back-calculating solar depression angles from human-verified
Fajr and Isha prayer sightings.
What this does:
- src/pipeline.py: master pipeline; fetches iCal + manual records, back-calculates
angles via PyEphem, applies quality filters, exports two clean CSVs
- src/collect/openfajr.py: parses the OpenFajr Birmingham iCal feed (~4,018 records)
- src/collect/verified_sightings.py: manually compiled records from peer-reviewed
studies (Egypt, Saudi Arabia, Malaysia, Indonesia, UK, USA, Canada, and more)
- src/angle_calc.py: PyEphem back-calculation with atmospheric refraction
- src/elevation.py: Open-Elevation API batch lookup
Datasets generated:
- data/processed/fajr_angles.csv: 4,105 confirmed Fajr records, 35 locations,
latitude range -37.8 to 53.7 degrees, date range 1985-2026
- data/processed/isha_angles.csv: 43 confirmed Isha records, 20+ locations
Also includes:
- notebooks/01_exploratory_analysis.ipynb: latitude, TOY, elevation pattern analysis
- research/: academic paper summaries (not training data)
- data/raw/sources.md: full citation table for all data sources
