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LEVEL Running Dataset: sessions R01-R09 (data + figures)

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  1. .gitattributes +87 -0
  2. .gitignore +5 -0
  3. LICENSE +32 -0
  4. README.md +144 -0
  5. data/S01/R01/fit3/SOURCE.txt +4 -0
  6. data/S01/R01/fit3/fit3_live.csv +359 -0
  7. data/S01/R01/fit3/fit3_summary.csv +2 -0
  8. data/S01/R01/run/barometer.csv +0 -0
  9. data/S01/R01/run/imu-arm-0000.001.csv +0 -0
  10. data/S01/R01/run/imu-arm-0000.csv +3 -0
  11. data/S01/R01/run/imu-back-1111.001.csv +0 -0
  12. data/S01/R01/run/imu-back-1111.csv +3 -0
  13. data/S01/R01/run/imu-left_foot-2222.001.csv +0 -0
  14. data/S01/R01/run/imu-left_foot-2222.csv +3 -0
  15. data/S01/R01/run/imu-right_foot-3333.001.csv +0 -0
  16. data/S01/R01/run/imu-right_foot-3333.csv +3 -0
  17. data/S01/R01/run/meta-summary.json +95 -0
  18. data/S01/R01/run/pace_profile.csv +0 -0
  19. data/S01/R01/run/steps.csv +0 -0
  20. data/S01/R02/fit3/SOURCE.txt +4 -0
  21. data/S01/R02/fit3/fit3_live.csv +246 -0
  22. data/S01/R02/fit3/fit3_summary.csv +2 -0
  23. data/S01/R02/run/barometer.csv +2624 -0
  24. data/S01/R02/run/imu-back-4444.csv +3 -0
  25. data/S01/R02/run/imu-left_foot-2222.csv +3 -0
  26. data/S01/R02/run/imu-left_wrist-3333.csv +3 -0
  27. data/S01/R02/run/imu-right_foot-5555.csv +3 -0
  28. data/S01/R02/run/meta-debug.json +15 -0
  29. data/S01/R02/run/meta-summary.json +101 -0
  30. data/S01/R02/run/pace_profile.csv +0 -0
  31. data/S01/R02/run/polar_6666_acc.csv +3 -0
  32. data/S01/R02/run/polar_6666_ecg.csv +3 -0
  33. data/S01/R02/run/polar_6666_hr.csv +0 -0
  34. data/S01/R02/run/steps.csv +0 -0
  35. data/S01/R03/fit3/SOURCE.txt +4 -0
  36. data/S01/R03/fit3/fit3_live.csv +193 -0
  37. data/S01/R03/fit3/fit3_summary.csv +2 -0
  38. data/S01/R03/run/barometer.csv +1918 -0
  39. data/S01/R03/run/imu-back-4444.csv +3 -0
  40. data/S01/R03/run/imu-left_foot-2222.csv +3 -0
  41. data/S01/R03/run/imu-left_wrist-3333.csv +3 -0
  42. data/S01/R03/run/imu-right_foot-5555.csv +3 -0
  43. data/S01/R03/run/meta-summary.json +101 -0
  44. data/S01/R03/run/pace_profile.csv +1927 -0
  45. data/S01/R03/run/polar_6666_acc.csv +3 -0
  46. data/S01/R03/run/polar_6666_ecg.csv +0 -0
  47. data/S01/R03/run/polar_6666_hr.csv +0 -0
  48. data/S01/R03/run/steps.csv +4643 -0
  49. data/S01/R04/fit3/SOURCE.txt +4 -0
  50. data/S01/R04/fit3/fit3_live.csv +186 -0
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+ # Audio files - uncompressed
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+ # Image files - compressed
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+ data/S01/R01/run/imu-arm-0000.csv filter=lfs diff=lfs merge=lfs -text
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+ data/S01/R01/run/imu-right_foot-3333.csv filter=lfs diff=lfs merge=lfs -text
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+ data/S01/R02/run/imu-back-4444.csv filter=lfs diff=lfs merge=lfs -text
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+ data/S01/R02/run/imu-left_foot-2222.csv filter=lfs diff=lfs merge=lfs -text
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+ data/S01/R02/run/imu-left_wrist-3333.csv filter=lfs diff=lfs merge=lfs -text
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+ data/S01/R02/run/imu-right_foot-5555.csv filter=lfs diff=lfs merge=lfs -text
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+ data/S01/R02/run/polar_6666_acc.csv filter=lfs diff=lfs merge=lfs -text
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+ data/S01/R03/run/imu-back-4444.csv filter=lfs diff=lfs merge=lfs -text
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+ data/S01/R03/run/polar_6666_acc.csv filter=lfs diff=lfs merge=lfs -text
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+ data/S01/R04/run/imu-back-4444.csv filter=lfs diff=lfs merge=lfs -text
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+ data/S01/R08/run/imu-back-3333.csv filter=lfs diff=lfs merge=lfs -text
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+ data/S01/R08/run/imu-left_foot-2222.csv filter=lfs diff=lfs merge=lfs -text
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+ data/S01/R08/run/imu-wrist-0000.csv filter=lfs diff=lfs merge=lfs -text
.gitignore ADDED
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+ # build artefacts -- never part of the release
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+ __pycache__/
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+ *.pyc
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+ .DS_Store
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+ Thumbs.db
LICENSE ADDED
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+ LEVEL Running Dataset
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+ Copyright (c) 2026 Level Health Innovations Corp.
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+
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+ This work (the dataset, its figures, its documentation, and the accompanying reports) is licensed
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+ under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
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+ The Python code under scripts/ is licensed separately under the MIT License (scripts/LICENSE).
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+
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+ Human-readable summary : https://creativecommons.org/licenses/by-nc/4.0/
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+ Full legal code : https://creativecommons.org/licenses/by-nc/4.0/legalcode
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+
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+ You are free to:
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+ - Share -- copy and redistribute the material in any medium or format.
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+ - Adapt -- remix, transform, and build upon the material.
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+ The licensor cannot revoke these freedoms as long as you follow the license terms.
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+
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+ Under the following terms:
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+ - Attribution -- You must give appropriate credit, provide a link to the license, and indicate
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+ if changes were made. You may do so in any reasonable manner, but not in any way
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+ that suggests the licensor endorses you or your use.
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+ - NonCommercial -- You may not use the material for commercial purposes.
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+ - No additional restrictions -- You may not apply legal terms or technological measures that legally
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+ restrict others from doing anything the license permits.
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+
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+ The full CC BY-NC 4.0 legal code (linked above) governs. This notice applies the license; it does not
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+ replace or modify it. Commercial use, including any use primarily intended for or directed toward
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+ commercial advantage or monetary compensation, requires separate permission from the copyright holder.
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+
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+ Attribution / how to cite:
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+ Lin, J. (2026). LEVEL Running Dataset. Level Health Innovations Corp.
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+ https://huggingface.co/datasets/lvlmotion/running
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+
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+ For commercial licensing enquiries: jlin@lvlmotion.com
README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ pretty_name: LEVEL Running Dataset
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+ language:
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+ - en
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+ tags:
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+ - running
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+ - gait
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+ - imu
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+ - wearable
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+ - accelerometer
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+ - gyroscope
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+ - biomechanics
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+ - heart-rate
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+ - ecg
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+ - time-series
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+ size_categories:
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+ - n<1K
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+ configs:
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+ - config_name: sessions
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+ default: true
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+ data_files: sessions.csv
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+ ---
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+
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+ # LEVEL Running Dataset
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+
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+ Open, raw running recordings from body-worn LEVEL motion sensors (feet, lower back, wrist, arm),
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+ time-synchronized with a Polar H10 chest strap (heart rate, RR intervals, ECG), phone GPS, barometer
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+ and step counter, and additional ground truth where available. Collected with the LEVEL Collector
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+ platform, which runs on Android phones and Windows PCs, across deliberately varied sensor setups, and
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+ tracked run over run for open research on running performance, fatigue and injury prevention.
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+
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+ > In 2025, my doctor gave me "the talk." You know the one. The one where I need to exercise more and
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+ > eat better. So I picked up running to stay fit, and somewhere along the way I thought: I'm a
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+ > biomechanics engineer, and I work for a company that makes IMU motion sensors. Why not take some
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+ > measurements? And here we are.
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+
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+ ## Two purposes
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+
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+ **1. LEVEL Collector, working anywhere.** An open record of the collection platform itself: different
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+ sensors, placements, settings and devices, in and out of the research lab. **LEVEL Inez** is a small
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+ wearable 6-axis motion sensor (accelerometer ±16 g, gyroscope) that clips or straps onto the body --
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+ here both feet, the lower back and a wrist or arm -- and streams for about 36 hours (a day and a half) at 100 Hz on a
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+ charge. **LEVEL Collector** is the research app that records several of them at once, over the
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+ phone's Bluetooth or the **LEVEL Hub** USB receiver, with the sensor clocks kept in step, alongside the
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+ phone's GPS, barometer and step counter and add-ons such as a Polar H10 chest strap, all on one clock,
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+ as plain documented CSV files (the [format spec](data/data_dictionary.md)).
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+
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+ **2. Running research.** A longitudinal, within-participant record of real running: pace, heart rate,
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+ cadence and foot mechanics across runs, conditions and fatigue. Almost all running-injury research
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+ compares runners with each other, cross-sectionally or in prospective cohorts with a single baseline
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+ measurement, so following a runner's own mechanics over time is still rare; and the public running-IMU
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+ datasets are nearly all lab- or treadmill-bound and rarely bilateral at the foot. This one is within-subject and longitudinal,
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+ outdoors, with both feet and every stream on one clock, built to ask whether *your own* mechanics
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+ drift predicts *your* breakdown, with chest-strap, phone-GPS and other reference data to check the
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+ sensors against.
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+
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+ ![One 61-minute run at a glance: every source on one time axis](figures/S01/R01/overview.png)
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+
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+ *One 61-minute run at a glance: movement from each LEVEL sensor, heart rate, speed, cadence and
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+ relative elevation, all on one clock. Gaps are real dropouts.*
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+
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+ ## The sessions
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+
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+ <!-- glance:start (generated by scripts/make_catalog.py) -->
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+ **9 sessions, 1 participant, 4.9 h of recording, 25 km outdoors, 2026-09-07 to 2026-10-03.**
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+ <!-- glance:end -->
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+
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+ <!-- sessions:start (generated by scripts/make_catalog.py from sessions.csv -- do not edit by hand) -->
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+ | Date | Session | Conditions | Duration (min) | Distance (km) | LEVEL sensors | Reference data | Packet loss (%) | Eff. rate (Hz) | Max gap (s) |
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+ |---|---|---|---:|---:|---|---|---:|---:|---:|
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+ | 2026-09-07 | [R01](figures/S01/R01/overview.png) | outdoor pavement | 61 | 7.21 | 4: Arm, Back, Left Foot, Right Foot | watch | 0.6 | 99.3 | 0.31 |
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+ | 2026-09-12 | [R02](figures/S01/R02/overview.png) | outdoor pavement, parkrun | 44 | 5.29 | 4: Back, Left Foot, Left Wrist, Right Foot | chest strap, watch | 10.4 | 89.5 | 0.66 |
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+ | 2026-09-14 | [R03](figures/S01/R03/overview.png) | outdoor pavement | 32 | 3.47 | 4: Back, Left Foot, Left Wrist, Right Foot | chest strap, watch | 4.0 | 95.9 | 0.51 |
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+ | 2026-09-14 | [R04](figures/S01/R04/overview.png) | outdoor pavement | 28 | 2.91 | 4: Back, Left Foot, Left Wrist, Right Foot | watch | 4.1 | 95.8 | 1.51 |
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+ | 2026-09-17 | [R05](figures/S01/R05/overview.png) | indoor track | 8 | | 4: Back, Left Foot, Left Wrist, Right Foot | chest strap | 0.3 | 99.6 | 0.31 |
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+ | 2026-09-19 | [R06](figures/S01/R06/overview.png) | outdoor pavement, race | 15 | 1.94 | 4: Back, Left Foot, Left Wrist, Right Foot | chest strap | 6.6 | 93.3 | 0.71 |
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+ | 2026-09-28 | [R07](figures/S01/R07/overview.png) | outdoor pavement | 37 | 4.24 | 4: Back, Left Foot, Left Wrist, Right Foot | | 3.6 | 96.3 | 0.41 |
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+ | 2026-09-30 | [R08](figures/S01/R08/overview.png) | outdoor pavement | 45 | | 4: Back, Left Foot, Right Foot, Wrist | | 0.7 | 99.2 | 0.31 |
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+ | 2026-10-03 | [R09](figures/S01/R09/overview.png) | outdoor pavement, parkrun | 20 | | 4: Back, Left Foot, Right Foot, Wrist | | 0.0 | 99.9 | 0.01 |
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+
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+ *9 sessions. Click a session for its overview figure; every column (setup, versions, heart rate, capture quality) is in `sessions.csv`.*
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+ <!-- sessions:end -->
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+
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+ Every run's figures sit in `figures/<subject>/<session>/`: `overview.png` (start there), `data-*.png` for
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+ each published source as recorded (`imu`, `phone`, `h10`, `fit3`) and `derived-*.png` for anything computed
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+ from them (`spectrum` today; running metrics as they are validated). `sessions.csv` has one row per session with
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+ every column, in groups that read left to right: conditions, the setup that was varied, what the run
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+ measured, then the capture analysis (packet loss, clock alignment, phone battery); the column
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+ definitions are in the [format spec](data/data_dictionary.md).
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+
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+ Failures stay in: a chest strap that dropped out, a capture cut short, sensor clocks that did not align.
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+ They are flagged in `sessions.csv` (the capture columns and each session's `notes`) and in the figures.
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+
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+ ## The data
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+
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+ ```
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+ data/<subject>/R01/run/ one folder per session: LEVEL sensor CSVs, chest strap, phone streams, metadata
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+ data/<subject>/R01/fit3/ watch data for the run (where worn)
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+ data/context/ the only non-anonymous folder: per-session date, conditions, event; participants
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+ data/data_dictionary.md every file, column and unit, and the de-identification policy
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+ figures/ per session: overview.png, data-*.png (as recorded), derived-*.png (computed)
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+ scripts/ lvl_running (iterate / load / plot) + make_figures.py, make_catalog.py
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+ ```
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+
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+ ## Quick start
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+
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+ ```python
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+ # pip install -r scripts/requirements.txt (run from the dataset folder)
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+ import sys; sys.path.insert(0, "scripts")
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+ from lvl_running import iter_sessions, load_session, plot_session
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+
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+ for run_dir in iter_sessions("data"): # every run, all participants and sessions
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+ run = load_session(run_dir) # LEVEL sensors by placement + phone streams + metadata
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+ print(run.name, sorted(run.imus), f"{run.duration_s / 60:.0f} min")
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+
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+ plot_session("data/S01/R01/run", "my_figures") # the same figures as figures/S01/R01/
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+ ```
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+
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+ `python scripts/make_figures.py` regenerates `figures/` from `data/`; `python scripts/make_catalog.py`
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+ regenerates `sessions.csv` and the session table above.
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+
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+ ## Limitations
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+
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+ - **One participant so far**, the dataset's author. More participants will join; until then nothing
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+ here generalizes beyond one runner.
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+ - **Setups vary between runs on purpose** (see `sessions.csv`); compare runs on the sensors they share.
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+ - **Consumer references:** the watch and phone GPS are convenient, not gold standards; the Polar H10
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+ is the heart-rate reference.
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+ - **Accelerometer range:** foot impacts can reach the ±16 g limit, and 100 Hz under-samples the impact
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+ transient (see `derived-spectrum.png`); timing-based measures are unaffected.
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+
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+ ## License and citation
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+
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+ The data and figures are **CC BY-NC 4.0** (see [LICENSE](LICENSE)): free for research and other
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+ non-commercial use with attribution; commercial use reserved. The code in `scripts/` is **MIT**
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+ (see [scripts/LICENSE](scripts/LICENSE)). Copyright Level Health Innovations Corp.
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+
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+ Cite as: Lin, J. (2026). *LEVEL Running Dataset.* Level Health Innovations Corp.
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+ https://huggingface.co/datasets/lvlmotion/running
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+
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+ Built at [LEVEL](https://lvlmotion.com). Jonathan Lin designed, collected and analysed this dataset; the
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+ experiment and reporting were built with AI assistance from Claude (Anthropic). Questions and
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+ collaboration: jlin@lvlmotion.com
data/S01/R01/fit3/SOURCE.txt ADDED
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+ Samsung Galaxy Fit3 workout -- exported from Samsung Health "Download personal data".
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+ date : 2026-09-07
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+ distance : 6918 m
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+ duration : ~58.5 min
data/S01/R01/fit3/fit3_live.csv ADDED
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data/S01/R04/fit3/fit3_live.csv ADDED
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