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  1. .gitattributes +0 -0
  2. CITATION.cff +17 -0
  3. LICENSE +9 -0
  4. README.md +71 -3
  5. data/parc-AAL116/sub-control100890/sub-control100890_desc-corr_parc-AAL116_connectivity.json +16 -0
  6. data/parc-AAL116/sub-control100890/sub-control100890_desc-correlation_matrix_parc-AAL116.json +16 -0
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  21. data/parc-AAL116/sub-control3361/sub-control3361_desc-correlation_matrix_parc-AAL116.json +16 -0
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.gitattributes CHANGED
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CITATION.cff ADDED
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1
+ cff-version: 1.2.0
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+ message: "If you use this dataset, please cite it."
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+ title: "PPMI Connectivity Graphs — Derivatives (HF Staging)"
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+ version: "1.0.0"
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+ date-released: "2025-08-24"
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+ authors:
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+ - family-names: "Lau"
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+ given-names: "Pak Kin"
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+ identifiers: []
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+ preferred-citation:
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+ type: dataset
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+ title: "PPMI Connectivity Graphs — Derivatives (HF Staging)"
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+ authors:
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+ - family-names: "Lau"
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+ given-names: "Pak Kin"
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+ year: 2025
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+ version: "1.0.0"
LICENSE ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ This repository contains two licensing regimes:
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+
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+ 1) DATA (everything under data/, participants.tsv, phenotype/, and metadata tables):
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+ Creative Commons Attribution–NonCommercial–ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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+ https://creativecommons.org/licenses/by-nc-sa/4.0/
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+
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+ 2) CODE & DOCS (README.md, dataset_description.json, CITATION.cff, example snippets):
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+ Apache License 2.0
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+ https://www.apache.org/licenses/LICENSE-2.0
README.md CHANGED
@@ -1,3 +1,71 @@
1
- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+
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+ # PPMI Connectivity Graphs — HF Staging (Derivatives)
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+
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+ This dataset ships **ready-to-use functional brain connectivity graphs** derived from the PPMI cohort in a BIDS-ish *derivatives* layout. For each subject and parcellation, we include:
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+ - **ROI time-series** (`*_desc-timeseries_parc-<name>.mat`)
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+ - **Pearson correlation connectivity matrix** (`*_desc-correlation_matrix_parc-<name>.mat`)
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+ - **JSON sidecars** with summary fields (nodes, measure, symmetric/weighted flags)
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+
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+ ## Contents
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+ ```
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+
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+ data/
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+ parc-<schema>/
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+ sub-<id>/
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+ sub-<id>\_desc-timeseries\_parc-<schema>.mat
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+ sub-<id>\_desc-correlation\_matrix\_parc-<schema>.mat
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+ \*.json
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+ manifests/
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+ manifest.jsonl # one JSON object per raw file (sha256, bytes, target\_rel)
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+ participants.tsv
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+ phenotype/ # subject-level variables (if present)
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+ metadata/
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+ raw/ # resources & summaries used to build the set
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+ artifacts/ # inventory, checks, B5 manifest & reports
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+ provenance/ # author notes, dataset summaries, exclusions
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+
27
+ ````
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+
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+ ## Quick start (Python)
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+ ```python
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+ from huggingface_hub import snapshot_download
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+ from pathlib import Path
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+ from scipy.io import loadmat
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+
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+ root = Path(snapshot_download(repo_id="<org>/<dataset>", repo_type="dataset", revision="<tag>"))
36
+ pid, parc = "sub-prodromal75492", "ward100"
37
+ ts = loadmat(root / f"data/parc-{parc}/{pid}/{pid}_desc-timeseries_parc-{parc}.mat")
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+ cm = loadmat(root / f"data/parc-{parc}/{pid}/{pid}_desc-correlation_matrix_parc-{parc}.mat")
39
+
40
+ # common variable names (fallback-friendly)
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+ X = next((ts.get(k) for k in ["features_timeseries","timeseries","X"] if k in ts), None) # (nodes × time)
42
+ A = next((cm.get(k) for k in ["correlation_matrix","corr","A"] if k in cm), None) # (nodes × nodes)
43
+ print("Timeseries:", None if X is None else X.shape, " Connectivity:", None if A is None else A.shape)
44
+ ````
45
+
46
+ ## Cohort & Metadata
47
+
48
+ * `participants.tsv` (+ optional `participants.json`)
49
+ * `phenotype/` (subject-level variables)
50
+ * `metadata/raw/`, `metadata/artifacts/`, `metadata/provenance/` (provenance, inventories, checks)
51
+ * JSON sidecars colocated with `.mat` under `data/`
52
+ * Parquet mirrors (optional, if you add them later)
53
+
54
+ ## Integrity
55
+
56
+ * A machine manifest lives at `manifests/manifest.jsonl` (one JSON object per raw file) with SHA-256 and byte size.
57
+ * You can re-compute and verify locally if needed.
58
+
59
+ ## License
60
+
61
+ * **Data** (everything under `data/`, `participants.tsv`, `phenotype/`, and `metadata` tables): **CC BY-NC-SA 4.0**.
62
+ * **Docs & examples** (this README, helper scripts): **Apache-2.0**.
63
+ See `LICENSE` for details.
64
+
65
+ ## How to cite
66
+
67
+ See `CITATION.cff`. Please also acknowledge **PPMI** and the original derivative providers.
68
+
69
+ ## Changelog
70
+
71
+ * **v1.0.0** — Initial HF release: multi-schema connectivity with cohort tables & provenance.
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