ADM_LSIR: a physics-inspired laparoscopic aerosol degradation dataset

ADM_LSIR is a physics-inspired laparoscopic aerosol degradation dataset for aerosol-aware surgical image analysis and image restoration. The v1.0.0 release contains:- 21,916 clean clinical laparoscopic frames (clean/)- 9,562 real intraoperative aerosol-degraded frames (degraded/)- 36,052 simulated aerosol masks, including 19,701 smoke-like masks and 16,351 trajectory masks (mask/)- Blender simulation/cache materials (ADM_LSIR_Blender_simulation_files_v1.0.rar)- metadata_quality_report_v1.0.csv- recommended_splits_v1.0.csv- video_mapping_v1.0.csv- parts_manifest.txt- checksums_v1.0.tsv- release_manifest_v1.0.json All released clinical frames are de-identified and stored as lossless PNG files. Filenames use anonymized video identifiers, e.g., C-V##-####.png for clean frames and D-V##-####.png for degraded frames. The recommended split is defined at the source_video_id/public_video_label level to reduce leakage across frames from the same source video. The public video labels in video_mapping_v1.0.csv provide privacy-safe source-video identifiers (video1-video19). The Blender archive documents the smoke and trajectory mask simulation setup and supports reuse, but it is not a guaranteed exact per-mask reproduction package. The released pre-rendered mask library is the primary reusable dataset component. Source code for synthesis and quality screening is available at:https://github.com/SweetDeathh/ADM_LSIR