Download manifests/30/github.com__ophelie-bci__ibci_analysis.json from OpenScientificCodeRegistry/Database: direct link, hf CLI and curl.
- Browser
- Download file 3.66 kB
-
https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/30/github.com__ophelie-bci__ibci_analysis.json
- Command line
-
hf download hf://datasets/OpenScientificCodeRegistry/Database/manifests/30/github.com__ophelie-bci__ibci_analysis.json
-
curl -L -o github.com__ophelie-bci__ibci_analysis.json https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/30/github.com__ophelie-bci__ibci_analysis.json
3.66 kB
| { | |
| "format": "oscr-script-manifest/1", | |
| "repository": "github.com/ophelie-bci/ibci_analysis", | |
| "url": "https://github.com/ophelie-bci/iBCI_analysis/tree/v1.0", | |
| "host": "github.com", | |
| "commit": "6a198cec614d11e54fc7bc34a47c7270c3713da0", | |
| "license": "MIT", | |
| "license_confirmed_by": "license file LICENSE", | |
| "redistribution": "yes", | |
| "files": [ | |
| { | |
| "path": "LICENSE", | |
| "sha256": "b1e04ba79bfc495dcf37f32af07c4e13d91ca780877f51459c458bc1abb94c69", | |
| "language": "License", | |
| "lines": 43, | |
| "truncated": false, | |
| "block": 9, | |
| "row": 2891 | |
| }, | |
| { | |
| "path": "README.md", | |
| "sha256": "fddb5ef44f89d709f8bb0b25533ca6e54ce99761a4af9fc7aeafbbbfb41434f6", | |
| "language": "Text", | |
| "lines": 122, | |
| "truncated": false, | |
| "block": 9, | |
| "row": 14654 | |
| }, | |
| { | |
| "path": "run_all.py", | |
| "sha256": "2e06d5648374b40582ea9af45a1a3dffc3f509bc1b50502f5be90f4d9efc6ba6", | |
| "language": "Python", | |
| "lines": 31, | |
| "truncated": false, | |
| "block": 9, | |
| "row": 7052 | |
| }, | |
| { | |
| "path": "scripts/run_analyse_trajectories.py", | |
| "sha256": "66b630f2f9da4bb4b1e929794993cfd056d42c02061fece55ade521644a231da", | |
| "language": "Python", | |
| "lines": 113, | |
| "truncated": false, | |
| "block": 9, | |
| "row": 9500 | |
| }, | |
| { | |
| "path": "scripts/run_emg_and_eyemovement.py", | |
| "sha256": "8ec4594d8a5ef390fd4875e5d036c75fc6f24d5bcaff7788550675942a1d7e43", | |
| "language": "Python", | |
| "lines": 52, | |
| "truncated": false, | |
| "block": 9, | |
| "row": 8137 | |
| }, | |
| { | |
| "path": "scripts/run_offline_brain_area_analysis.py", | |
| "sha256": "e423c8015210918c44b25b6e8c82ffad45e0be5d3419a6656e2c4c33adc9959a", | |
| "language": "Python", | |
| "lines": 85, | |
| "truncated": false, | |
| "block": 9, | |
| "row": 8987 | |
| }, | |
| { | |
| "path": "scripts/run_success_rate.py", | |
| "sha256": "4a5894e154fa57b938b961070ca5651e759b8c2c750c45651416bba874073bac", | |
| "language": "Python", | |
| "lines": 114, | |
| "truncated": false, | |
| "block": 9, | |
| "row": 9193 | |
| }, | |
| { | |
| "path": "scripts/run_time_to_target.py", | |
| "sha256": "d9f29856b73647da26dc85145365779ed746ab4a4b29aa7875d620a6b8537ea3", | |
| "language": "Python", | |
| "lines": 94, | |
| "truncated": false, | |
| "block": 9, | |
| "row": 8708 | |
| }, | |
| { | |
| "path": "scripts/run_within_session_performance_trend.py", | |
| "sha256": "c0cf560f90adeeca0a6c2d9740ae77e575274f084eb51a6d2663af625ee230a7", | |
| "language": "Python", | |
| "lines": 49, | |
| "truncated": false, | |
| "block": 9, | |
| "row": 7939 | |
| }, | |
| { | |
| "path": "src/analysis.py", | |
| "sha256": "1e1fff94af392aa9c1d7c420c7caf19e69dd95beacb7f35d0a8b8b2517b574dc", | |
| "language": "Python", | |
| "lines": 698, | |
| "truncated": false, | |
| "block": 9, | |
| "row": 12259 | |
| }, | |
| { | |
| "path": "src/load.py", | |
| "sha256": "b8c827c4b262387d937bd76388223f83f4d59667e1e28074c679a4cb7af28d23", | |
| "language": "Python", | |
| "lines": 227, | |
| "truncated": false, | |
| "block": 9, | |
| "row": 10705 | |
| }, | |
| { | |
| "path": "src/metrics.py", | |
| "sha256": "45cdd763f87deace63fa0eceba523357768a04efeab76274b58a45dc4dd90afb", | |
| "language": "Python", | |
| "lines": 150, | |
| "truncated": false, | |
| "block": 9, | |
| "row": 9665 | |
| }, | |
| { | |
| "path": "src/plots.py", | |
| "sha256": "1f173f5bf3de4b879a006a01fafa351452f780550e16c052583bceb22d67c9ec", | |
| "language": "Python", | |
| "lines": 672, | |
| "truncated": false, | |
| "block": 9, | |
| "row": 12161 | |
| }, | |
| { | |
| "path": "src/tables.py", | |
| "sha256": "3e5f05fbdaea18184a4cfc4a4037b0f5456a2ccacb0d9ccc1bd5981c119c218d", | |
| "language": "Python", | |
| "lines": 63, | |
| "truncated": false, | |
| "block": 9, | |
| "row": 8050 | |
| }, | |
| { | |
| "path": "src/utils.py", | |
| "sha256": "5e18576daf6fff25a9a703a43b2312f548e9136ca76eb810a7b1262402d7730c", | |
| "language": "Python", | |
| "lines": 582, | |
| "truncated": false, | |
| "block": 9, | |
| "row": 12103 | |
| } | |
| ] | |
| } |