Vick-MIRE/door-olfactory-responses

DoOR Olfactory Receptor Responses (Processed)

A processed odor × olfactory receptor matrix derived from the Database of Odorant Responses (DoOR) v2.0, prepared for training the FlyWire Olfactory SNN.

Dataset description

Each row is an odorant (identified by InChIKey or name). Each column is an olfactory receptor gene (Or10a, Or13a, … Or9a — 52 receptors total). Cell values represent the median response magnitude across published studies compiled by DoOR.

Feature	Value
Rows (odors)	~500 (varies with DoOR version)
Columns (receptors)	52 Or genes
Missing value handling	Column-median imputation, remaining NaN → 0
Format	CSV (odor_key + 52 receptor columns)

Processing steps applied

This dataset is a derivative work of DoOR.data with the following transformations:

1. Selected 52 Or receptor CSV files from the full DoOR repository
2. Extracted median response across all published studies for each odor–receptor pair
3. Identified odors by InChIKey (falling back to chemical name when InChIKey is missing)
4. Imputed missing values with per-receptor column medians
5. Filled remaining NaNs with 0.0
6. Merged into a single odor × receptor matrix (CSV format)

Source code for this processing: src/flywire_snn/data/door.py

Usage

from datasets import load_dataset

ds = load_dataset("Vick-MIRE/door-olfactory-responses")
# or load the CSV directly:
import pandas as pd
df = pd.read_csv("door_or_merged.csv")
odor_keys = df["odor_key"]
receptor_matrix = df.drop(columns=["odor_key"]).to_numpy()

License

This dataset is licensed under CC BY-SA 4.0, inheriting from the original DoOR.data license.

Attribution (required by CC BY-SA 4.0)

This dataset is derived from the Database of Odorant Responses (DoOR) v2.0:

• Authors: Daniel Münch, C. Giovanni Galizia, Shouwen Ma, Martin Strauch, Anja Nissler
• Source: https://github.com/ropensci/DoOR.data
• Publications:
  • Münch & Galizia (2016). DoOR 2.0. Scientific Reports, 6, 21841. https://doi.org/10.1038/srep21841
  • Galizia et al. (2010). Chemical Senses, 35(7), 551–563. https://doi.org/10.1093/chemse/bjq042

ShareAlike

Any redistribution or derivative of this dataset must also be licensed under CC BY-SA 4.0 or a compatible license.

Citation

If you use this dataset, please cite both DoOR and this processed version:

@article{munch2016door,
  title={DoOR 2.0 -- Comprehensive mapping of Drosophila melanogaster odorant responses},
  author={M{\"u}nch, Daniel and Galizia, C. Giovanni},
  journal={Scientific Reports},
  volume={6},
  pages={21841},
  year={2016},
  doi={10.1038/srep21841}
}