manchestercscoordinateddiabetesstudy

University of Manchester Computer Science Coordinated Diabetes Study Datasets

https://github.com/sharpic/manchestercscoordinateddiabetesstudy

Science Score: 67.0%

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CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
Found 2 DOI reference(s) in README
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Academic publication links
Links to: zenodo.org
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Academic email domains
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (6.5%) to scientific vocabulary

Keywords

dataset diabetes raw-data t1dm

Last synced: 6 months ago · JSON representation ·

Repository

University of Manchester Computer Science Coordinated Diabetes Study Datasets

Basic Info

Host: GitHub
Owner: sharpic
License: cc-by-4.0
Default Branch: main
Homepage:
Size: 6.38 MB

Statistics

Stars: 1
Watchers: 2
Forks: 0
Open Issues: 0
Releases: 3

Topics

dataset diabetes raw-data t1dm

Created over 1 year ago · Last pushed 11 months ago

Metadata Files

Readme License Citation

Dataset Title: T1D-UOM – A Longitudinal Multimodal Dataset of Type 1 Diabetes

Overview

This dataset contains historical Type 1 Diabetes data collected across 16 individuals, covering activity data, blood glucose data, sleep data, insulin data, and nutrition Data. The data was collected in 2023 and 2024.

This dataset aims to support the development of algorithm in enahcning blood glucose management for people with Type 1 Diabetes Mellitus.

Ethical approval

University of Manchester Ethical Approval 2024-15687-33719.

Date Collected: From October 2023 to August 2024

Dataset Summary

Files inside each folder follow the naming convention:
UoM + "Data category" + ParticipantID.csv

Folders

Dataset
- Activity Data
- Size: 17.8 MB
- Demographics
- Size:123 KB
- Glucose Data
- Size: 7.9 MB
- Insulin Data
- Basal Data
  - Size: 606 KB
- Bolus Data
  - Size: 188 KB
- Nutrition Data
- Size: 295 KB
- Sleep Data
- Size: 13.9 MB
- README.md

Number of Records

| Data Type | Files | Records | | ------------------ | ----- | ------- | | Activity Data | 17 | 228,681 | | Glucose Data | 17 | 356,146 | | Basal Insulin | 14 | 20,407 | | Bolus Insulin | 16 | 5,660 | | Nutrition Data | 15 | 4,351 | | Sleep Data | 30 | 323,340 |

Data Format

All files are in CSV format with UTF-8 encoding.
Files use a comma (",") as the delimiter.

Data Dictionary

'UoMActivityID.csv'

| Column | Type | Description | Units | Possible Values | | ----------------------- | -------- | ---------------------------- | ------------------- | ------------------------------------- | | activity_ts | Datetime | Datetime of observation | MM/DD/YYYY HH:MM:SS | N/A | | activity_type | String | Type of activity | N/A | SEDENTARY, WALKING,RUNNING, & GENERIC | | active_Kcal | Int | Calories burned actively | kcal | N/A | | step_count | Int | Steps taken | count | N/A | | distance_m | Float | Distance covered | meters | N/A | | duration_s | Int | Duration of activity | seconds | N/A | | active_time_s | Int | Active time duration | seconds | N/A | | start_time_s | Int | Activity start time | seconds | N/A | | start_time_offset_s | Int | Start time offset | seconds | N/A | | met | Float | Metabolic equivalent of task | METs | N/A | | intensity | String | Intensity level | N/A | SEDENTARY, ACTIVE & HIGHLYACTIVE | | `motionintensitymean| Float | Mean motion intensity | N/A | N/A | |motionintensity_max` | Float | Maximum motion intensity | N/A | N/A |

UoMBasalID.csv

| Column | Type | Description | Units | Possible Values | | -------------- | -------- | ----------------------- | ---------------- | -------------------------- | | basal_ts | Datetime | Datetime of observation | MM/DD/YYYY HH:MM | N/A | | basal_dose | Float | Basal rate | U or U/h | N/A | | insulin_kind | String | Kind of insulin | N/A | R (Rapid), L (Long-acting) |

UoMBolusID.csv

| Column | Type | Description | Units | Possible Values | | ------------ | -------- | ----------------------- | ---------------- | --------------- | | bolus_ts | Datetime | Datetime of observation | MM/DD/YYYY HH:MM | N/A | | bolus_dose | Float | Bolus dose | U | N/A |

UoMGlucoseID.csv

| Column | Type | Description | Units | Possible Values | | ------- | -------- | ----------------------- | ------------------- | --------------- | | bg_ts | Datetime | Datetime of observation | MM/DD/YYYY HH:MM:SS | N/A | | value | Float | Blood glucose reading | mmol/L | N/A |

UoMNutritionID.csv

| Column | Type | Description | Units | Possible Values | | ----------- | -------- | ----------------------- | ---------------- | ------------------------------- | | meal_ts | Datetime | Datetime of observation | MM/DD/YYYY HH:MM | N/A | | meal_type | String | Meal Type | N/A | Breakfast, Lunch, Dinner, Snack | | meal_tag | String | Meal Tag | N/A | N/A | | carbs_g | Int | Carbohydrates eaten | g | N/A | | prot_g | Int | Proteins eaten | g | N/A | | fat_g | Int | Fat eaten | g | N/A | | fibre_g | Int | Fibre eaten | g | N/A |

'UoMsleepID.csv'

| Column | Type | Description | Units | Possible Values | | --------------------------------- | -------- | -------------------------- | ---------------------- | --------------- | | sleep_ts | Datetime | Datetime of observation | MM/DD/YYYY HH:MM:SS | N/A | | step_count | Int | Steps taken | count | N/A | | heart_rate | Int | Heart rate | beatsperminute (bPm) | N/A | | current_activity_type_intensity | Int | Current activity intensity | count | N/A | | stress_level_value | Int | Stress level | scale | N/A | | sleep_level | Int | Sleep/awake state | 0/1 | 0/1 | | resting_heart_rate | Int | Resting heart rate | bPm | N/A |

'UoMIDsleeptime.csv'

| Column | Type | Description | Units | Possible Values | | ------------------------------- | -------- | ------------------------------------ | ------------------------ | ------------------------------------------------ | | sleep_start_ts | Datetime | Sleep start time | MM/DD/YYYY HH:MM:SS | N/A | | sleep_end_ts | Datetime | Sleep end time | MM/DD/YYYY HH:MM:SS | N/A | | calendar_date | Datetime | Calendar date | MM/DD/YYYY HH:MM:SS | N/A | | sleep_window_confirm_type | String | Sleep confirmation | N/A | ENHANCEDCONFIRMEDFINAL, UNCONFIRMED, OFFWRIST | | `deepsleeps| Int | Seconds in deep sleep stage | count | N/A | |lightsleeps| Int | Seconds in light sleep stage | count | N/A | |remsleeps| Int | Seconds in REM sleep stage | count | N/A | |awakesleeps| Int | Seconds in awake stage | count | N/A | |unmeasurables| Int | Unmeasurable seconds | count | N/A | |sleeplevelsmapdeep| String | Mapping of deep sleep levels | Seconds (Unix Timestamp) | N/A | |sleeplevelsmaplight| String | Mapping of light sleep levels | Seconds (Unix Timestamp) | N/A | |sleeplevelsmapawake| String | Mapping of awake sleep levels | Seconds (Unix Timestamp) | N/A | |sleeplevelsmaprem| String | Mapping of REM sleep levels | Seconds (Unix Timestamp) | N/A | |sleeplevelsmapunmeasurable| String | Mapping of unmeasurable sleep levels | Seconds (Unix Timestamp) | N/A | |validation` | String | Validation status of sleep data | Seconds (Unix Timestamp) | ENHANCEDFINAL, ENHANCED_TENTATIVE |

Owner

Name: Simon Harper
Login: sharpic
Kind: user
Location: Manchester (UK)
Company: University of Manchester

Website: http;//simon.harper.name
Repositories: 5
Profile: https://github.com/sharpic

Citation (CITATION.cff)

cff-version: 1.2.0
message: If you use this dataset, please cite it using these metadata.
title: T1D-UOM – A Longitudinal Multimodal Dataset of Type 1 Diabetes
abstract: |
  People living with Type 1 Diabetes (PwT1D) have to continuously monitor their blood glucose levels and make clinical, safety-related decisions multiple times a day to maintain glycaemic control within the clinically recommended ranges. Significant efforts have been made to develop algorithms that could assist PwT1D in managing their blood glucose more effectively. Automated insulin delivery (AID) has been shown to improve glycaemic control. However, access to AID remains variable in many parts of the world and there are limited publicly available comprehensive datasets required for algorithm development in scenarios where AID systems revert to manual mode. This study addresses this gap by providing a detailed multimodal dataset encompassing five key aspects: blood glucose levels, basal (rapid- or long-acting) and bolus insulin dosages, nutritional intake (including carbohydrates, protein, fat and fibre content), physical activity (steps count, active calories, distance covered, MET and intensity level), and sleep patterns. The dataset comprises longitudinal (3 months) data collected from 17 PwT1D, in real-world settings. By offering this resource, the study aims to facilitate advancements in algorithm development, ultimately enhancing diabetes management and expanding support for PwT1D in settings where AID use is less prevalent.
authors:
  - family-names: Alsuhaymi
    given-names: Ashwaq
    orcid: "https://orcid.org/0000-0002-6651-283X"
  - family-names: Bilal
    given-names: Ahmad
    orcid: "https://orcid.org/0000-0003-0296-122X"
  - family-names: Gasca Garcia
    given-names: Daniel
    orcid: "https://orcid.org/0000-0002-3944-3234"
  - family-names: Kongdee
    given-names: Rujiravee
    orcid: "https://orcid.org/0000-0003-0375-2833"
  - family-names: Lubasinski
    given-names: Nicole
    orcid: "https://orcid.org/0000-0001-5829-8258"
  - family-names: Hood
    given-names: Thabit
    orcid: "https://orcid.org/0000-0001-6076-6997"
  - family-names: Paul
    given-names: Nutter
    orcid: "https://orcid.org/0000-0003-4075-861X"
  - family-names: Harper
    given-names: Simon
    orcid: "https://orcid.org/0000-0001-9301-5049"
version: 0.1.0
date-released: "2025-04-07"
identifiers:
  - description: This is the collection of archived snapshots of all versions of the Coordinated Diabetes Study
    type: doi
    value: "10.5281/zenodo.123456"
license: CC-BY-4.0
repository-code: "https://github.com/sharpic/ManchesterCSCoordinatedDiabetesStudy"

GitHub Events

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Release event: 3
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Member event: 5
Push event: 19
Fork event: 1
Create event: 3

Last Year

Release event: 3
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Member event: 5
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Fork event: 1
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