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Clarify dataset contents and study scope

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  1. README.md +7 -7
  2. source_manifest.json +0 -1
README.md CHANGED
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  ---
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- pretty_name: SMA Upper-Limb Kinect Source Mirror and Reach-Intent Benchmark
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  license: cc-by-4.0
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  language:
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  - en
@@ -26,20 +26,20 @@ configs:
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  data_files: data/participant_folds.csv
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  ---
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- # SMA Upper-Limb Kinect Source Mirror and Reach-Intent Benchmark
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- This dataset first preserves the complete PLOS publication package byte-for-byte, then provides a small reproducible assistive-intent benchmark derived from it.
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- ## Complete source mirror
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- The `mirror/` directory contains all four supplements listed by PLOS, with the publisher filenames unchanged:
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  - `pone.0170472.s001.pdf`: complete analysis report;
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  - `pone.0170472.s002.zip`: prototype game, R analysis, and Python extraction source code;
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  - `pone.0170472.s003.zip`: raw data, logs, extracted features, and demographics;
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  - `pone.0170472.s004.mp4`: animated replay of an outlier recording.
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- `mirror/MANIFEST.csv` records the DOI, exact byte size, SHA-256 fingerprint, licence, and description of every file. These mirror files are not transformed and nothing from the PLOS supplement package is omitted.
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  ## The question in plain language
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  ## Data
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- The source study contains approximately 16 Hz 3D coordinates for nine joints, task logs, and repeated sessions from 18 ambulant adults with SMA type III and 19 controls. The complete archive is present under `mirror/`. The separate derived layer under `data/` joins the logs to the skeleton stream and excludes the clinical table and fine-grained demographics.
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  - `data/reach_trials.csv.gz`: one row per target presentation.
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  - `data/reach_frames.csv.gz`: skeleton frames from target appearance to reach or timeout.
 
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  ---
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+ pretty_name: SMA Upper-Limb Kinect Dataset and Reach-Intent Benchmark
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  license: cc-by-4.0
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  language:
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  - en
 
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  data_files: data/participant_folds.csv
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  ---
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+ # SMA Upper-Limb Kinect Dataset and Reach-Intent Benchmark
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+ This repository contains the four supplementary files from a longitudinal Kinect study and a derived reach-intent benchmark.
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+ ## Publication files
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+ The repository contains the four supplements listed by PLOS:
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  - `pone.0170472.s001.pdf`: complete analysis report;
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  - `pone.0170472.s002.zip`: prototype game, R analysis, and Python extraction source code;
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  - `pone.0170472.s003.zip`: raw data, logs, extracted features, and demographics;
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  - `pone.0170472.s004.mp4`: animated replay of an outlier recording.
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+ The accompanying `MANIFEST.csv` records the DOI, byte size, SHA-256 checksum, licence, and description of each file.
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  ## The question in plain language
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  ## Data
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+ The study contains approximately 16 Hz 3D coordinates for nine joints, task logs, and repeated sessions from 18 ambulant adults with SMA type III and 19 controls. The derived tables under `data/` join the logs to the skeleton stream and exclude the clinical table and fine-grained demographics.
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  - `data/reach_trials.csv.gz`: one row per target presentation.
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  - `data/reach_frames.csv.gz`: skeleton frames from target appearance to reach or timeout.
source_manifest.json CHANGED
@@ -3,7 +3,6 @@
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  "article_doi": "10.1371/journal.pone.0170472",
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  "authors": "Xing Chen; Juliane Siebourg-Polster; Detlef Wolf; Christian Czech; Ulrike Bonati; Dirk Fischer; Omar Khwaja; Martin Strahm",
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  "license": "CC BY 4.0",
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- "mirror_policy": "All four publisher supplements are stored byte-for-byte under mirror/ before any derived data.",
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  "supplements": [
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  {
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  "name": "pone.0170472.s001.pdf",
 
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  "article_doi": "10.1371/journal.pone.0170472",
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  "authors": "Xing Chen; Juliane Siebourg-Polster; Detlef Wolf; Christian Czech; Ulrike Bonati; Dirk Fischer; Omar Khwaja; Martin Strahm",
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  "license": "CC BY 4.0",
 
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  "supplements": [
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  {
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  "name": "pone.0170472.s001.pdf",