The c-VEDA dataset contains data collected and processed by the c-VEDA study from an accelerated and planned missing longitudinal cohort of over 10,000 individuals within specific age ranges 6-11, 12-17 and 18-23 years in 7 recruitment centres covering 5 geographical regions of India: Punjab and adjoining states (PGIMER), Eastearn Coalfields (KOLKATA), Northeast India (IMPHAL), Bengaluru & Mysuru (MYSORE, NIMHANS, SJRI) and Chittoor (RISHIVALLEY).
Age bands
Age Band ID
|
Age Band Name
|
Age Range
|
|
C1
|
Children
|
6-11 |
| C2 |
Adolescents |
12-17 |
| C3 |
Adults |
18-23 |
Recruitment centres
You can learn more about our recruitment centres in our About page.
Centre ID
|
Centre name
|
Location
|
MRI
|
| 11 |
PGIMER |
Chandigarh, Punjab |
Siemens Verio |
| 12 |
IMPHAL |
Imphal, Manipur |
|
| 13 |
KOLKATA |
Kolkata, West Bengal |
Siemens Trio |
| 14 |
RISHIVALLEY |
Rishi Valley, Andhra Pradesh |
acquired in NIMHANS |
| 15 |
MYSORE |
Mysuru, Karnataka |
Philips Ingenia |
| 16 |
NIMHANS |
Bengaluru, Karnataka |
Siemens Skyra /Philips Ingenia |
| 17 |
SJRI |
Bengaluru, Karnataka |
acquired in NIMHANS |
Time points
Baseline (BL) data are collected at inclusion and follow-ups are scheduled either 1 year (FU1) or 2 years (FU2) after inclusion.
Biological sampling and MRI scanner protocol are described in Standard Operating Procedures. Details about the actual MRI sequences used by each centre are available via SFTP:
sftp://cveda.nimhans.ac.in/documentation/mri/
Other data have been collected using Psytools. We provide a short overview of the c-VEDA instruments. The detailed Excel resource file used to build the Psytools questionnaires is available via SFTP only:
sftp://cveda.nimhans.ac.in/documentation/psytools/
Some of the questionnaires are used under restrictive licensing, therefore this Excel resource file must remain within the c-VEDA consortium. Please do not disseminate.
We have written specific software and scripts for imaging data collection and initial processing. We have published and maintain them in GitHub. We roughly describe the data acquisition and management process from the perspective of the databank operators in the cveda_databank wiki.
Data and samples are pseudonymized once before leaving acquisition centres. Then data are pseudonymized a second time by the database team, acting as a trusted third party, distinct from acquisition centres. We provide a list of valid participant identifiers to help end-users detect and investigate possible identifier errors.
You can learn about how we process the data for the study by visiting our GitHub repository.
We release formal versions of the c-VEDA dataset, appending additional data or fixing existing data with each release:
Dataset release details
You can read more details about the different dataset versions in our dedicated page.
Dataset version
|
DOI
|
Release date
|
Download link
|
| 0.9 |
10.25720/veda-c09w |
2018-11-21 |
sftp://cveda.nimhans.ac.in/data/0.9/ |
| 1.0 |
10.25720/veda-c10e |
2018-11-21 |
sftp://cveda.nimhans.ac.in/data/1.0/ |
| 1.1 |
10.25720/veda-c11f |
2019-04-17 |
sftp://cveda.nimhans.ac.in/data/1.1/ |
| 1.2 |
10.25720/veda-c12g |
2019-05-28 |
sftp://cveda.nimhans.ac.in/data/1.2/ |
| 1.3 |
10.25720/veda-c13h |
2019-06-26 |
sftp://cveda.nimhans.ac.in/data/1.3/ |
| 1.4 |
10.25720/veda-c14j |
2019-10-16 |
sftp://cveda.nimhans.ac.in/data/1.4/ |
Before requesting access to the dataset, please read our data sharing & publication guidelines (PDF, 137 KB).
Access to the dataset via SFTP
Once you are authorized to access all or part of the c-VEDA dataset, an account shall be created for you on the c-VEDA server at NIMHANS. You can then use an SFTP client such as WinSCP or FileZilla to access the dataset.
As an example, we provide a screen capture of the WinSCP Login dialog, set up to access the NIMHANS SFTP server
Important parameters are:
- File protocol: SFTP
- Host name: cveda.nimhans.ac.in
- User name:
- Password:
After login WinSCP shows your home folder in the left panel and the remote folder with the c-VEDA data on the NIMHANS server in the right panel: