Temi-VOC-Datasets
VOC/smell data from ~April 2025 to September 2025 recorded by Robot Temi
Overview
This repo includes raw and cleaned smell collection metrics recorded by 2 versions of the SmartNanotubes Smell Inspector. The sensor was attached to the tray of a Temi robot, which roamed our office on a set path. The robot patrolled roughly once an hour during working hours and recorded a few dozen smell data points on each run. At each smell data point (in the processed/new-sensor.csv file), the robot also took a picture using its front top camera of the area that it was in.
Data collection ran from 2025-04-21 to 2026-01-09 (263 calendar days, ~8.6 months), with data recorded on 148 of those days.
Images associated with the processed CSV data can be found on huggingface.
All figures below were computed from the released files in processed/.
Cleans raw CSV files by removing header/start rows, dropping NaN values, and renaming value_64/value_65 to temperature/humidity. Outputs to processed/.
From the project’s README on GitHub.
At a glance
| Repository | Kentucky-Open-Science/Temi-VOC-Datasets |
|---|---|
| Research area | Robotics, drones & sensing |
| Primary language | Python |
| License | Apache-2.0 |
| Stars / forks | 0 / 0 |
| Open issues and pull requests | 1 |
| Created | 2025-09-17 |
| Last push | 2026-08-12 |
| Default branch | main |
| Topics | dataset, robotics, sensors |
Latest release
v1.0.0, published 2025-09-19.
What the README covers
- Dataset Summary
- Data Dictionary (processed/old-sensor.csv)
- Data Dictionary (processed/new-sensor.csv)
- A note on raw channel magnitudes
- Pipeline Scripts
- 0_process_raw.py
- 1_clean_frames.py
- 2_prepare_features.py
- Visualizations
- Evaluation Datasets
- processed/newSensor_training_ammonia-features.csv
- processed/newSensor_testing_ammonia-features.csv
- processed/new-sensor-features.csv
- License
Top contributors
- @armstrongsam25 (5 commits)
- @EvanDamron (4 commits)
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Get the code
git clone https://github.com/Kentucky-Open-Science/Temi-VOC-Datasets.git