Open SMA Research Data
Collection
6 items • Updated
figure stringlengths 7 22 | archive_path stringlengths 29 74 | file_name stringlengths 12 43 | format stringclasses 2
values | size_bytes int64 368 21.9M | sha256 stringlengths 64 64 |
|---|---|---|---|---|---|
EXTENDED_DATA_FIGURE10 | All data/EXTENDED_DATA_FIGURE10/figure_10_extended_data.xlsx | figure_10_extended_data.xlsx | xlsx | 22,456 | 3c722381b7663c6dca412857c0fa7d443e1611cbffc8e2b02d87f35b3a8662ad |
EXTENDED_DATA_FIGURE2 | All data/EXTENDED_DATA_FIGURE2/figure_2_extended_data.xlsx | figure_2_extended_data.xlsx | xlsx | 14,958 | 81b791fa7da543aafa5d3dd0b80e59308b10733499ab768a5838bcd1d881acb0 |
EXTENDED_DATA_FIGURE3 | All data/EXTENDED_DATA_FIGURE3/Extended_dada_figure3a.csv | Extended_dada_figure3a.csv | csv | 8,862 | 13896bb5dd51df346671f0591112c146b1cea2ac7143320626c3675f3e2ea80e |
EXTENDED_DATA_FIGURE3 | All data/EXTENDED_DATA_FIGURE3/Extended_dada_figure3b.csv | Extended_dada_figure3b.csv | csv | 10,342 | 8853debed24c7554822bc64e68e3025e79a719ba77b1b8fc236bb8a33dd5828a |
EXTENDED_DATA_FIGURE4 | All data/EXTENDED_DATA_FIGURE4/Extended_dada_figure4b.csv | Extended_dada_figure4b.csv | csv | 2,380 | 441c2c25139c6f038c55bfe0f1b63d3bfc20ede157728f0ba5f36f095c123809 |
EXTENDED_DATA_FIGURE4 | All data/EXTENDED_DATA_FIGURE4/Extended_dada_figure4c.csv | Extended_dada_figure4c.csv | csv | 5,182 | a805748ead6b2a464c5736a698ee455466964645d49faaf41f9d8e00dae76184 |
EXTENDED_DATA_FIGURE4 | All data/EXTENDED_DATA_FIGURE4/Extended_dada_figure4d.csv | Extended_dada_figure4d.csv | csv | 1,396 | 3f864d893c9c581b90ba92970826988dd99e5b2b9d20a1425c1df3144f4765cf |
EXTENDED_DATA_FIGURE4 | All data/EXTENDED_DATA_FIGURE4/Extended_dada_figure4e.csv | Extended_dada_figure4e.csv | csv | 5,378 | e3b5fe0ed6792ae819d249a27cea22cd4b2b40e8452550d05e6f2f7fe6346951 |
EXTENDED_DATA_FIGURE4 | All data/EXTENDED_DATA_FIGURE4/Extended_dada_figure4f.csv | Extended_dada_figure4f.csv | csv | 5,378 | e3b5fe0ed6792ae819d249a27cea22cd4b2b40e8452550d05e6f2f7fe6346951 |
EXTENDED_DATA_FIGURE4 | All data/EXTENDED_DATA_FIGURE4/Extended_dada_figure4h.csv | Extended_dada_figure4h.csv | csv | 7,510,998 | d936888d73ebde6bb06cf7b0a961a849213baa63f3b46a8df08af217360b208e |
EXTENDED_DATA_FIGURE4 | All data/EXTENDED_DATA_FIGURE4/Extended_dada_figure4i.csv | Extended_dada_figure4i.csv | csv | 368 | a889aa2710cd37ac8fb37aa01776b3ef84dd4290aac083e466a6a0250280198e |
EXTENDED_DATA_FIGURE4 | All data/EXTENDED_DATA_FIGURE4/Extended_dada_figure4j.csv | Extended_dada_figure4j.csv | csv | 718 | 9bdcbf183ff0322f909bd6dba2fc9666be71ac42ba9b73c741a9afa0e83a5c33 |
EXTENDED_DATA_FIGURE5 | All data/EXTENDED_DATA_FIGURE5/Ext_Figure_5_Data.xlsx | Ext_Figure_5_Data.xlsx | xlsx | 24,584 | 5c43463b44f852368d2671a66a6c0eb87bc0873445a512f41f58149eefafe6c2 |
EXTENDED_DATA_FIGURE6 | All data/EXTENDED_DATA_FIGURE6/Extended_Figure_6_Data .xlsx | Extended_Figure_6_Data .xlsx | xlsx | 223,706 | c829e5091ac3ef6eb5155dd5fe8f7e698c958cf1d0f7e94c3f68b5df28118ee7 |
EXTENDED_DATA_FIGURE7 | All data/EXTENDED_DATA_FIGURE7/ExtFig7_Data.xlsx | ExtFig7_Data.xlsx | xlsx | 25,161 | ead6c7b88342812a92712a3d7bc70ed8039e3d18a7435526064703fe8e4e9047 |
EXTENDED_DATA_FIGURE8 | All data/EXTENDED_DATA_FIGURE8/Extended data figure 8b-c.xlsx | Extended data figure 8b-c.xlsx | xlsx | 6,219,011 | fa81bde32bc299c8c33fff641a46d068f50c14843037e0def31210227a3e3acc |
EXTENDED_DATA_FIGURE8 | All data/EXTENDED_DATA_FIGURE8/Extended_Data_Figure_8_Panel _e_f_data.xlsx | Extended_Data_Figure_8_Panel _e_f_data.xlsx | xlsx | 985,234 | 609c9cb5336d1f19881f157868cb0bdd32d6214c74af5d0e97f496178ef26e98 |
FIGURE2 | All data/FIGURE2/figure_2_data.xlsx | figure_2_data.xlsx | xlsx | 5,329,376 | b6998892c26bda9b4a95e2d301b3092c21ab6b23d900b462f8e04393bc5e6220 |
FIGURE3 | All data/FIGURE3/figure3a.csv | figure3a.csv | csv | 21,899,771 | 58d5cd7bf84969e2a7f723f8f0b420eeb592ca26d260e599bbbfced82265adc1 |
FIGURE3 | All data/FIGURE3/figure3b.csv | figure3b.csv | csv | 3,420 | d21540274b4d52967ef2161fde96dc6ba996be9e80b06dae5d409e040fe6330c |
FIGURE3 | All data/FIGURE3/figure3c.csv | figure3c.csv | csv | 773 | 4582a56855e93a158adbe8fea023874b777d30416ef6addc59ef29b761b7a3a1 |
FIGURE3 | All data/FIGURE3/figure3d.csv | figure3d.csv | csv | 6,291,966 | 9fa736b8740b9df5fa4d149de9d6f09c8a3015acfa173e325f0d64214a5a79d8 |
FIGURE3 | All data/FIGURE3/figure3e.csv | figure3e.csv | csv | 971 | 77af1b8deb14c74ba6eba3be38103bc5e3bc3c43de03b9e223d014d0c5f5a1fa |
FIGURE3 | All data/FIGURE3/figure3f1.csv | figure3f1.csv | csv | 480 | c5a2491e18a2a09fc24a26671dc19a05bd7c4522afe2e6e125d98665901c0c62 |
FIGURE3 | All data/FIGURE3/figure3f2.csv | figure3f2.csv | csv | 480 | ab52a04cbdba53973555bc36c31254e387c1ea5767f4bd3e2bbf4407ea0d6f7f |
FIGURE4 | All data/FIGURE4/Figure_4_Data.xlsx | Figure_4_Data.xlsx | xlsx | 2,887,332 | 69042da6b755a9d02d862421147f4e655052fa8f1eec4c46f3eeaee0f7272971 |
FIGURE5 | All data/FIGURE5/Figure_5_Data.xlsx | Figure_5_Data.xlsx | xlsx | 129,026 | 7d47d3ae854a695154696b2c7ca915e6511fedfd52e28a3f77e83b32941f5bf4 |
FIGURE6 | All data/FIGURE6/figure_6_data.xlsx | figure_6_data.xlsx | xlsx | 4,710,915 | 510de11c1f7ffcff183dc479984059019c4a1e87cda59d5237b5be735467dc58 |
SMA Spinal-Stimulation Figure Data
This repository contains the figure-source data for a first-in-human study of epidural spinal-cord stimulation in three adults with SMA type III.
All data.zip is the 28,192,745-byte Zenodo v1 archive. It holds 28 CSV and spreadsheet files covering main Figures 2–6 and Extended Data Figures 2–8 and 10, including gait, electromyography, strength, and stimulation-response measurements. The accompanying MANIFEST.csv records the DOI, published MD5, SHA-256 checksum, and licence. scripts/download_original.py retrieves and verifies the Zenodo file.
Browsing the archive without downloading it
The archive is mirrored byte-for-byte, so its contents are indexed rather than unpacked. The archive_contents viewer config lists every file inside it with its figure, path, format, size, and SHA-256 checksum; scripts/build_archive_index.py regenerates that table from the archive.
Extended Data Figure 9 is an empty directory in the published archive and therefore has no rows.
Good uses
- reproduce selected published figures;
- build a physiological-signal or gait explorer;
- test analysis pipelines on a tiny, multimodal mechanistic dataset.
Important limitation
Three participants cannot support a general clinical predictor. Treat results as within-study reproduction or hypothesis generation, not population evidence.
Source citation and attribution
- Data: Zenodo record 14201209, DOI 10.5281/zenodo.14201209
- Paper: Nature Medicine study
- Licence: CC BY 4.0
Prat Ortega G, Capogrosso M. (2024). First-in-human study of epidural spinal cord stimulation in individuals with spinal muscular atrophy, version 1 [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.14201209
The archive is CC BY 4.0. Cite both the Zenodo dataset and the associated Nature Medicine paper when using it.
The archive is redistributed unmodified, and its checksums in MANIFEST.csv match the published Zenodo record. Nothing was added to, removed from, or rewritten inside it; data/archive_contents.csv is a derived index of the archive, not a changed copy of it.
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