---
tags:
  - iints/source
  - iints/source/dataset
source_id: "diatrend"
source_bucket: "dataset_registry"
category: "dataset"
component: "data_import_realism_training"
url: "https://doi.org/10.7303/syn38187184"
doi: ""
status: active
---

# DiaTrend Dataset

> [!info] What this source supports
> Controlled-access CGM and insulin pump dataset from 54 people with type 1 diabetes, with carb logs, bolus data, and selected pump settings.

| Field | Value |
| --- | --- |
| Source ID | `diatrend` |
| Bucket | `dataset_registry` |
| Category | `dataset` |
| SDK component | `data_import_realism_training` |
| DOI | n/a |
| URL | https://doi.org/10.7303/syn38187184 |
| Origin file | `src/iints/data/datasets.json` |

## Citation

Prioleau T, Bartolome A, Comi R, Stanger C. DiaTrend: A dataset from advanced diabetes technology to enable development of novel analytic solutions. Scientific Data. 2023;10:556. doi:10.1038/s41597-023-02469-5. Synapse record accessed 2026-04-30 via https://doi.org/10.7303/syn38187184

## User Interpretation

Use this source to explain **why the SDK default, metric, dataset, or hardware-safety boundary exists**. It is evidence support for pre-clinical simulation and documentation, not a medical approval claim.
