INDI Prospective Studies

Curated, ready-to-use subsets of INDI (International Neuroimaging Data-sharing Initiative) prospective releases, prepared for the Pittsburgh Fiber Data Hub. This repository aggregates links, metadata, and selected derived artifacts (e.g., QC tables, tractography-ready files) to simplify reuse in methods and replication studies.

Access note: Source data are hosted on external portals (mostly NITRC). Most downloads require a free account and joining the 1000 Functional Connectomes Project (FCP/INDI) group. Please review each dataset’s license and acknowledgments before use.

What this repository provides

For each dataset mirrored under data-indi/pro, this repository aims to provide:

All raw imaging data remain hosted by INDI / NITRC and are subject to the corresponding data use agreements.

NYU IPN — Adult Resting-State & DTI

Dataset: NYU Institute for Pediatric Neuroscience (IPN) – Adult Resting-State and Diffusion MRI Institution: Phyllis Green & Randolph Cōwen IPN, NYU School of Medicine Sample: 49 psychiatrically screened, neurotypical adults (adult subset of a larger 6–55y project) Modalities:

Phenotypes: Age, gender, IQ (WASI verbal / performance / composite) License: Creative Commons Attribution–NonCommercial (CC BY-NC)

The current release represents the adult portion of a larger normative connectivity project. Most subjects have two R-fMRI runs within one visit (< 1 hour apart), making this useful for:

⚠️ Some participants also appear in NewYork_a (FCP classic) and NYU_Cocaine (INDI retrospective). De-duplicate before pooling.

Upstream source: Project page — http://fcon_1000.projects.nitrc.org/indi/retro/nyu_ipn.html

Download (Linux / macOS — bash)

curl -s https://api.github.com/repos/data-indi/pro/releases/tags/nyu | jq -r '.assets[].browser_download_url' | xargs -n1 -P4 curl -LO

Download (Windows PowerShell 5.x)

(Invoke-RestMethod "https://api.github.com/repos/data-indi/pro/releases/tags/nyu").assets | ForEach-Object { Invoke-WebRequest $_.browser_download_url -OutFile (Split-Path $_.browser_download_url -Leaf) }

Enhanced NKI-RS — Multiband Test–Retest Pilot

Dataset: Enhanced Nathan Kline Institute–Rockland Sample (NKI-RS) – Multiband Imaging Test–Retest Pilot Institution: Nathan S. Kline Institute for Psychiatric Research (NKI), Orangeburg, NY, USA PI: Michael Milham DOI: 10.15387/fcp_indi.corr.nki1 Sample: Adults drawn from the original NKI-RS cohort (not excluding clinical history)

Purpose: Pilot phase to evaluate the reliability and reproducibility of advanced multiband R-fMRI and high-direction DTI protocols prior to the full 1,000-participant enhanced NKI-RS rollout.

Key multiband / test–retest sequences:

Tasks: Visual checkerboard, eye-movement calibration, breath-hold (with stimulus design scripts).

This dataset is well suited for:

Upstream source: Enhanced NKI-RS page — http://fcon_1000.projects.nitrc.org/indi/enhanced/nki_rs.html

Typical assets in this repo:

Download (Linux / macOS — bash)

curl -s https://api.github.com/repos/data-indi/pro/releases/tags/nki-pilot | jq -r '.assets[].browser_download_url' | xargs -n1 -P4 curl -LO

Download (Windows PowerShell 5.x)

(Invoke-RestMethod "https://api.github.com/repos/data-indi/pro/releases/tags/nki-pilot").assets | ForEach-Object { Invoke-WebRequest $_.browser_download_url -OutFile (Split-Path $_.browser_download_url -Leaf) }

NKI / Rockland Sample

Dataset: Nathan Kline Institute (NKI) / Rockland Sample Institution: NKI, Orangeburg, NY, USA PIs: F. Xavier Castellanos, Bennett Leventhal, Michael Milham Coordinator: Kate Nooner Sample: Community-ascertained 4–85-year-olds, prospectively released; 207 participants total

The NKI/Rockland Sample is a large, phenotypically rich resource for lifespan and psychiatric connectomics, with deep behavioral and clinical characterization.

Core imaging protocol per participant:

All participants undergo semi-structured psychiatric interviews plus a comprehensive neuropsychological and behavioral battery, enabling:

Upstream source: Enhanced NKI-RS main page — http://fcon_1000.projects.nitrc.org/indi/enhanced/nki_rs.html

This repo: Provides selected derivatives (when available) and helper tables to simplify working with the NKI/Rockland releases.

Download (Linux / macOS — bash)

curl -s https://api.github.com/repos/data-indi/pro/releases/tags/nki | jq -r '.assets[].browser_download_url' | xargs -n1 -P4 curl -LO

Download (Windows PowerShell 5.x)

(Invoke-RestMethod "https://api.github.com/repos/data-indi/pro/releases/tags/nki").assets | ForEach-Object { Invoke-WebRequest $_.browser_download_url -OutFile (Split-Path $_.browser_download_url -Leaf) }

Beijing Normal University — Short TR Sample

Dataset: Beijing Normal University – Short TR Sample Institution: State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China Sample: 28 healthy college-aged volunteers Design: Within-subject comparison of two TR conditions in R-fMRI

Imaging protocol:

Participants completed both R-fMRI TR conditions in a single session, supporting:

Upstream source: Project page — http://fcon_1000.projects.nitrc.org/indi/retro/BeijingShortTR.html

Note: Data were released in multiple LiteNIFTI batches (BeijingShortTR.001.001 – BeijingShortTR.009.001) totaling 28 subjects.

Download (Linux / macOS — bash)

curl -s https://api.github.com/repos/data-indi/pro/releases/tags/bnu | jq -r '.assets[].browser_download_url' | xargs -n1 -P4 curl -LO

Download (Windows PowerShell 5.x)

(Invoke-RestMethod "https://api.github.com/repos/data-indi/pro/releases/tags/bnu").assets | ForEach-Object { Invoke-WebRequest $_.browser_download_url -OutFile (Split-Path $_.browser_download_url -Leaf) }

How to cite

For any analysis using these data:

  1. Cite the original dataset (and DOI where provided), plus key publications from each project.
  2. Include required funding acknowledgments from the upstream project pages.
  3. When you use derivatives or helper files from this repository, please add:

“Processed artifacts and curation were prepared by the Pittsburgh Fiber Data Hub (data-indi/pro).”

Licensing

Unless otherwise specified on the upstream pages, these datasets are distributed under Creative Commons Attribution–NonCommercial (CC BY-NC):

Known overlaps / deduplication

Similar overlaps may exist between the NKI/Rockland Sample and related NKI multiband test–retest datasets; check subject IDs if pooling.

Disclaimer

Repository: data-indi/pro — INDI Prospective Data Sharing Samples curated by the Pittsburgh Fiber Data Hub.