This open-source dataset structures publicly available data on Iranian missile and drone attack waves against Israel and US/coalition targets, and the defensive response to those attacks.
Specifically, the dataset tracks:
- Iranian attack waves — timing, weapon systems used, launch sites, targets, munitions counts
- Interception events — which defense systems engaged, interception method, interceptor munitions used, phase of interception, intercepting force
- Strike/impact events — where munitions reached the ground, damage, casualties, coordinates
- Competing claims — what Iran/IRGC, Israel/IDF, and US/CENTCOM each claimed about specific events
- Post-battle damage assessment (BDA) — independent third-party assessments from satellite imagery (SATINT), ground reporting, and open-source analysis
- Reference data — Iranian weapon systems, coalition defense systems, interceptor munitions, armed forces, US bases, naval vessels
- Israeli and coalition offensive operations — strikes on Iranian territory (e.g., Operation Epic Fury / Roaring Lion), IDF operations in Gaza/Lebanon, or other coalition military actions are not tracked in this dataset
- Proxy group offensive operations — Hezbollah, Houthi, or Iraqi militia attacks on Israel are not covered except where they are explicitly coordinated as part of an Iranian True Promise wave
- Diplomatic, political, or economic dimensions — sanctions, negotiations, domestic politics
- Classified or non-public intelligence — this dataset relies exclusively on open-source information (OSINT)
For OSINT analysis, commentary, and visualizations built on this dataset, see the companion site repository:
- Repo:
danielrosehill/Iran-Israel-OSINT-Site(private) - Live site:
promisedenied.com
This dataset aims to be factually neutral. Where Iran and Israel make contradictory claims about specific events, both claims are recorded verbatim alongside independent BDA assessments. The outcome_status field explicitly marks events as confirmed, disputed, or unverified. The dataset does not editorialize on whose claims are correct.