Summary. The dataset comprises 578 isometric contractility time series recorded from isolated murine trachea and bladder smooth muscle following exposure to pharmacological agents with distinct receptor-mediated mechanisms of action (MoAs). A total of 50 adult male Balb/c mice were used; two smooth muscle strips per organ were obtained, resulting in four independent tissue samples per animal.

🔒 Access policy (gated, manual approval).

Review phase: We collect access requests but do not grant access during peer review (exceptions only for co-authors or formal collaborators).

Post-acceptance: We will evaluate and approve requests individually. Priority is given to academic/non-commercial projects with a clear research purpose.

Requirements: Institutional email, brief usage statement, and agreement to the Terms of Use.

Technical: Approved users must be authenticated (login or token) to load the dataset.

Data acquisition

Recording mode: Continuous isometric force recordings
Sampling rate: 100 Hz
Digitization: Isometric force transducers
Source format: .txt (one time series per file)
Per-recording annotations: tissue type (trachea/bladder), applied pharmacological agent, and corresponding MoA

Classes and MoAs

Label	Agent (abbrev)	Mechanism of Action (MoA)	Count
kcl	Potassium chloride (KCl)	Calcium channel modulation	237
cch	Carbachol (CCh)	Muscarinic receptor activation	179
ser	Serotonin (SER)	Serotonergic receptor pathway	86
his	Histamine (HIS)	Histaminergic receptor pathway	76
Total	—	—	578

Per tissue pharmacology: Trachea → KCl, CCh, SER · Bladder → KCl, CCh, HIS.

Folder structure

contractility-signals/
├─ data/
│  ├─ train-00000-of-00001.parquet
│  ├─ validation-00000-of-00001.parquet
│  └─ test-00000-of-00001.parquet
├─ label_map.json
├─ stats.json
└─ README.md

label_map.json contains: {"kcl":0,"cch":1,"ser":2,"his":3}
stats.json includes global/per-class length stats and counts

Splits and sizes

Train: 410 (kcl 167, cch 127, ser 62, his 54)
Validation: 84 (kcl 35, cch 26, ser 12, his 11)
Test: 84 (kcl 35, cch 26, ser 12, his 11)

Signal length statistics (samples @ 100 Hz)

Per-class (min / max / mean / std):

CCh: 25,000 / 186,000 / 87,902.79 / 33,176.77
HIS: 20,340 / 376,000 / 97,247.37 / 57,972.76
KCl: 11,000 / 330,000 / 70,862.78 / 36,136.43
SER: 23,000 / 177,000 / 79,961.63 / 34,295.07

Features

Each example includes:

id (string)
signal (float[]) — 1D contractility trace (100 Hz)
length (int) — number of samples
sample_rate_hz (int) — 100
label (string) — one of {kcl, cch, ser, his}
label_id (int) — from label_map.json
tissue (string) — {trachea, bladder}
moa (string) — mechanism mapped from label (table above)

Access & loading

Once your request is approved (manual approval), you can load the dataset with a single line:

from datasets import load_dataset
ds = load_dataset("pharmaiktu/contractility-signals")  # requires authentication for gated datasets
print(ds)  # DatasetDict with train/validation/test

Terms of use

Academic / non-commercial research only.
No redistribution of the dataset or derivatives without written permission from the authors.
Cite the associated manuscript and this dataset card in any public use.
Do not attempt re-identification or misuse of data.
Report issues or suspected policy violations to: .

Citation (to be updated post peer review)

Please use the provisional citation below during peer review. A final citation with full bibliographic details will be provided after acceptance.

PharmAI KTU Research Group (2025).
PharmAI KTU Contractility Signals [Dataset].
Hugging Face: https://huggingface.co/datasets/pharmaiktu/contractility-signals

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