mirror of
https://github.com/acamarata/pray-calc-ml.git
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Major additions: - Extract all 1,621 Basthoni 2022 SQM records (46 Indonesian sites, Lampiran 2-5) via precomputed_angles.py - Add 9 new raw sighting CSVs: Abdel-Hadi Malaysia, BRIN multistation, Kassim Bahali (2017+2019), Khalifa Saudi, Moonsighting.com, Shaukat 2015 Blackburn UK, Walisongo Sulawesi - Curate aggregate D0 database (115 entries) in research/ Pipeline improvements: - Open-Topo-Data SRTM30m primary elevation API with fallback - APPROVED_RAW_CSVS allowlist prevents circular data ingestion - Pre-computed angle merge path (bypasses back-calculation for SQM data) - BAD_NOTE_MARKERS quality filter for excluded sources Collection tools: - BRIN multistation SQM processors - PDF/HTML table extractor for academic papers - Source tracking database (collection_manifest.json) Documentation: - Rewrite .wiki/Data.md and .wiki/Research.md from scratch - Expand Data-Sources.md with full Basthoni Lampiran breakdown - Add 14 researcher outreach drafts - Update .gitignore to exclude bulk/experimental files
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27 lines
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To: mdsyazwan@uthm.edu.my (Dr. Muhamad Syazwan Faid, UTHM)
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Subject: Request for Per-Night SQM Observation Data from LP2024 Multi-Site Twilight Study
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Assalamu alaykum wa rahmatullahi wa barakatuh,
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My name is Ali Camarata. I am an independent researcher building an open-source dataset of verified Fajr and Isha twilight observations for empirical Islamic prayer time modeling.
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Your 2024 paper in Scientific Reports (PMC11535048), covering SQM observations from 8 Malaysian sites and Coonabarabran, Australia, is one of the most comprehensive multi-site twilight studies published. The geographic spread from equatorial Malaysia to mid-latitude Australia across multiple observation years (2018-2023) is exactly what is needed to build latitude-dependent models.
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The published paper presents aggregate depression angles per site. Would you or your co-authors be willing to share the per-night observation data? For each observation night, I need:
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- Site name
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- Calendar date
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- Locally observed time of Fajr onset (morning SQM inflection)
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- Locally observed time of Isha end (evening SQM threshold), if applicable
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- Sky condition notes
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The per-night data would make this the single most valuable contribution to our dataset given the number of sites, years of observation, and latitude range.
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Our project: https://github.com/acamarata/pray-calc-ml
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Current dataset: 4,200+ Fajr observations from 140+ sites across 20+ countries.
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Full attribution to all authors and UniSZA in our open-source repository and any publications.
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Jazakallahu khairan,
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Ali Camarata
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alisalaah@gmail.com
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