CGMacros: a scientific dataset for personalized nutrition and diet monitoring

health life sciences medicine

Description

We present CGMacros, a dataset containing multimodal information from two continuous glucose monitors (CGM), food macronutrients, food photographs, and physical activity, in addition to anonymized participant demographics, anthropometric measurements and health parameters from blood analyses and gut microbiome profiles. CGMacros contains data from 45 study participants (15 healthy adults, 16 with pre-diabetes, and 14 with Type 2 diabetes) who consumed meals with varying and known macronutrient compositions in a free-living setting for ten consecutive days. To our knowledge, this is the first database of its kind to be made publicly available. CGMacros, and larger publicly available datasets that we hope may follow, are essential to democratize academic research in personalized nutrition and algorithmic approaches to automated diet monitoring.

Update Frequency

Not updated

License

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License

Documentation

https://doi.org/10.13026/3z8q-x658

Managed By

PhysioNet

See all datasets managed by PhysioNet.

Contact

https://physionet.org/about/#contact_us

How to Cite

CGMacros: a scientific dataset for personalized nutrition and diet monitoring was accessed on DATE from https://registry.opendata.aws/cgmacros.

Resources on AWS

  • Description
    https://doi.org/10.13026/3z8q-x658
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::physionet-open/cgmacros/
    AWS Region
    us-east-1
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://physionet-open/cgmacros/

Edit this dataset entry on GitHub

Tell us about your project

Home