Curated external human brain diffusion MRI datasets released after ~2020, sourced from public archives (e.g., Dryad, Zenodo, ScienceDB).
Datasets are provided as-is and intended for:
- Research and method development
- Tractography benchmarking
- Diffusion modeling (DTI, HARDI, NODDI, SMT/SANDI)
- Test–retest studies
- Educational use
All datasets retain their original license, citation, and usage terms required by data owners.
Always cite the original dataset DOIs.
Mesoscale ex vivo diffusion MRI of the human temporal lobe, emphasizing hippocampal lamellar and fimbria pathways.
Download command
curl -s https://api.github.com/repos/data-hcp/brain-after-2020/releases/tags/pitt-hippo | jq -r '.assets[].browser_download_url' | xargs -n1 -P4 curl -LO(Invoke-RestMethod "https://api.github.com/repos/data-hcp/brain-after-2020/releases/tags/pitt-hippo").assets | ForEach-Object { Invoke-WebRequest $_.browser_download_url -OutFile (Split-Path $_.browser_download_url -Leaf) }Summary: Ex vivo dMRI at 250 µm isotropic (upsampled to 125 µm). Reconstruction using GQI. Includes hippocampal subfields (CA1–3, DG), head–body–tail regions, fimbria ROIs, and 50+ dissected pathway templates.
License: Public domain (Dryad)
DOI: https://doi.org/10.5061/dryad.jh9w0vtnq
Integrated brain + cervical spinal cord multi-shell dMRI for 11 subjects (6 with test–retest), fully BIDS-compliant.
Download command
curl -s https://api.github.com/repos/data-hcp/brain-after-2020/releases/tags/vu-brain-cord | jq -r '.assets[].browser_download_url' | xargs -n1 -P4 curl -LO(Invoke-RestMethod "https://api.github.com/repos/data-hcp/brain-after-2020/releases/tags/vu-brain-cord").assets | ForEach-Object { Invoke-WebRequest $_.browser_download_url -OutFile (Split-Path $_.browser_download_url -Leaf) }Derived datasets include NODDI, SMT, SANDI, and DTI model fits, segmentations, FreeSurfer reconstructions, reverse-PE scans, and BIDS metadata.
License: CC BY 4.0
DOI: https://doi.org/10.5281/zenodo.15512428
High-resolution multimodal MRI (T1, FLAIR, SWI, DTI, NODDI) from 15 healthy adults, collected to support neurosurgical imaging research.
Download command
curl -s https://api.github.com/repos/data-hcp/brain-after-2020/releases/tags/vssru-eden2020 | jq -r '.assets[].browser_download_url' | xargs -n1 -P4 curl -LO(Invoke-RestMethod "https://api.github.com/repos/data-hcp/brain-after-2020/releases/tags/vssru-eden2020").assets | ForEach-Object { Invoke-WebRequest $_.browser_download_url -OutFile (Split-Path $_.browser_download_url -Leaf) }Includes angiographic, HARDI, and white matter microstructure imaging; derived DTI/NODDI maps; probabilistic tractography.
License: CC BY-NC-ND 4.0
DOI: https://doi.org/10.5281/zenodo.3994749
Multimodal MRI for studying CBF, CMRO₂, DWI, task-induced plasticity, and metabolic responses.
Download command
curl -s https://api.github.com/repos/data-hcp/brain-after-2020/releases/tags/vitality | jq -r '.assets[].browser_download_url' | xargs -n1 -P4 curl -LO(Invoke-RestMethod "https://api.github.com/repos/data-hcp/brain-after-2020/releases/tags/vitality").assets | ForEach-Object { Invoke-WebRequest $_.browser_download_url -OutFile (Split-Path $_.browser_download_url -Leaf) }Includes MP2RAGE, pCASL DEXI perfusion scans, two DWIs, TRUST/IR-EPI metabolic sequences, task behavioral traces.
License: CC BY 4.0
Source: https://zenodo.org/records/15149088
Ultra-high-resolution Connectom dMRI with 1260 directions, 18 hours of acquisition.
Download command
curl -s https://api.github.com/repos/data-hcp/brain-after-2020/releases/tags/mgh-760 | jq -r '.assets[].browser_download_url' | xargs -n1 -P4 curl -LO(Invoke-RestMethod "https://api.github.com/repos/data-hcp/brain-after-2020/releases/tags/mgh-760").assets | ForEach-Object { Invoke-WebRequest $_.browser_download_url -OutFile (Split-Path $_.browser_download_url -Leaf) }Includes submillimeter structural MRI, field maps, acquisition logs, and preprocessing scripts.
License: CC0
DOI: https://doi.org/10.5061/dryad.rjdfn2z8g
Large-sample multimodal dataset of 215 young Chinese adults with T1, rs-fMRI, DTI, and ASL.
Download command
curl -s https://api.github.com/repos/data-hcp/brain-after-2020/releases/tags/icyb | jq -r '.assets[].browser_download_url' | xargs -n1 -P4 curl -LO(Invoke-RestMethod "https://api.github.com/repos/data-hcp/brain-after-2020/releases/tags/icyb").assets | ForEach-Object { Invoke-WebRequest $_.browser_download_url -OutFile (Split-Path $_.browser_download_url -Leaf) }Includes BIDS-structured data with defaced anatomical scans and MRI-QC reports.
License: CC BY 4.0
DOI: https://doi.org/10.11922/sciencedb.00740
Double-blind crossover experiment comparing real vs sham tSMS over right M1.
Download command
curl -s https://api.github.com/repos/data-hcp/brain-after-2020/releases/tags/cinac-tsms | jq -r '.assets[].browser_download_url' | xargs -n1 -P4 curl -LO(Invoke-RestMethod "https://api.github.com/repos/data-hcp/brain-after-2020/releases/tags/cinac-tsms").assets | ForEach-Object { Invoke-WebRequest $_.browser_download_url -OutFile (Split-Path $_.browser_download_url -Leaf) }Includes multiecho resting-state fMRI, DWI, corrected phase images, and defaced anatomy.
License: CC BY 4.0
DOI: https://doi.org/10.5281/zenodo.15224957
Test–retest dataset for cross-scanner qMRI and diffusion harmonization (Skyra 3T vs PrismaFit 3T).
Download command
curl -s https://api.github.com/repos/data-hcp/brain-after-2020/releases/tags/bqminded | jq -r '.assets[].browser_download_url' | xargs -n1 -P4 curl -LO(Invoke-RestMethod "https://api.github.com/repos/data-hcp/brain-after-2020/releases/tags/bqminded").assets | ForEach-Object { Invoke-WebRequest $_.browser_download_url -OutFile (Split-Path $_.browser_download_url -Leaf) }Used in recent harmonization studies (NeuroCombat, LongCombat). Includes anatomical and diffusion MRI.
License: CC BY 4.0
DOI: https://doi.org/10.5281/zenodo.6473268
Each dataset retains its original license. Use must comply with:
- CC0 / CC BY
- CC BY-NC / CC BY-NC-ND
- Dataset-specific restrictions
Cite:
- The dataset DOI
- The primary research article (if applicable)
- Optionally:
“Data access facilitated by thedata-hcp/brain-after-2020repository.”
- Diffusion modeling (DTI, HARDI, NODDI, SMT/SANDI)
- High-resolution tractography
- Test–retest analyses
- Cross-scanner harmonization
- Educational teaching sets for MRI & connectomics
- Some datasets include partial acquisitions or subject-specific issues; see their notes.
- Derived files (FIB, SRC, microstructural maps) reflect specific pipelines.
- Some datasets include only derivatives, not original raw DICOM/NIfTI.