Team Ai
Datasetpublic

OpenScientificCodeRegistry/Database

Open Scientific Code Registry (OSCR): the authors' scripts The code published by the authors of open-access neuroscience papers, as found and verified by Open Scientific Code Registry (OSCR). Each file is here exactly as it is at the source, at the verified commit, under the license of its repository. 421,275 unique files (3,782 MB of text) from 8,849 repositories, in 24 Parquet block(s). Only files whose repository's license allows redistribution, confirmed by the repository's… See the full description on the dataset page: https://huggingface.co/datasets/OpenScientificCodeRegistry/Database.

sourceHugging Faceotherupdated 2d agoView on Hugging Face
0likes5.6kdownloads
github.com__morrocwi__rrhm-open-lab.json219 linesDownload Raw Back to fd
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/morrocwi/rrhm-open-lab",4 "url": "https://github.com/morrocwi/rrhm-open-lab/releases/tag/staveland-lock-v4",5 "host": "github.com",6 "commit": "16b5e09acf62e8e39adb1d5d309be1065d1aef2a",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "efb424c9cfa2563bacbb2d3607f861c46026f754c6f59532d40d391834052244",14   "language": "License",15   "lines": 24,16   "truncated": false,17   "block": 10,18   "row": 613919  },20  {21   "path": "README.md",22   "sha256": "6d6c99cb0fa407ff4316a6b9db45a257f097bdb4d88a1bbff6bfe57ddbbd5e7d",23   "language": "Text",24   "lines": 150,25   "truncated": false,26   "block": 10,27   "row": 1999428  },29  {30   "path": "code/calculators/recalibration.py",31   "sha256": "1b4c744db2692b1a43999b593f2ffc14b08fc6186c69b268ccf55b8af7f7331d",32   "language": "Python",33   "lines": 59,34   "truncated": false,35   "block": 10,36   "row": 1206437  },38  {39   "path": "code/figures/make_figures.py",40   "sha256": "7922fd2cbdfb2cabf530fff00250fe04d847cfb3947e57e779f6bfc81429a47d",41   "language": "Python",42   "lines": 33,43   "truncated": false,44   "block": 10,45   "row": 1164146  },47  {48   "path": "code/gates/rrhm_gates_k3_k6_k8_k9.py",49   "sha256": "1dc517cce07911ec009bef2fb625620a71fb7f748d0e2f8078b3462e6046f9c1",50   "language": "Python",51   "lines": 273,52   "truncated": false,53   "block": 10,54   "row": 1606555  },56  {57   "path": "code/opendata/c23_hra1_artifact_controls.py",58   "sha256": "852fce6496a1efb9df05c0f5d7655b3130a3a29adb0344c21f7f0f0981c879a0",59   "language": "Python",60   "lines": 54,61   "truncated": false,62   "block": 10,63   "row": 1237964  },65  {66   "path": "code/opendata/c23_hra1_timing.py",67   "sha256": "d720a8b1703db4d55bc08ef14118c1c2ea474387935deadc387e7c1d5e35932a",68   "language": "Python",69   "lines": 54,70   "truncated": false,71   "block": 10,72   "row": 1222473  },74  {75   "path": "code/opendata/c23_lane_dissociation.py",76   "sha256": "534c602024ecc38ab3d9b46a8ca3fda0d7b9da46f9452ea6564f2f349aecfe9a",77   "language": "Python",78   "lines": 55,79   "truncated": false,80   "block": 10,81   "row": 1205682  },83  {84   "path": "code/opendata/c25_lane_mtmm.py",85   "sha256": "412f0777e68053de9f66035b4dba6d6a079dbce9bda4ce4dfcb4011e7976b54d",86   "language": "Python",87   "lines": 89,88   "truncated": false,89   "block": 10,90   "row": 1317591  },92  {93   "path": "code/opendata/c26_stress_transport.py",94   "sha256": "4628020e1961c240e390f98b22216a34076fb3d84c5b9b25d54789d48fff37e8",95   "language": "Python",96   "lines": 73,97   "truncated": false,98   "block": 10,99   "row": 12925100  },101  {102   "path": "code/opendata/c27_predictability_clamp.py",103   "sha256": "0da9a41c0a2e60d85e8729bc6aaaa47ded1daf08da7535021f967ebe3cf2e401",104   "language": "Python",105   "lines": 158,106   "truncated": false,107   "block": 10,108   "row": 14814109  },110  {111   "path": "code/opendata/c28_rankstab_mtmm.py",112   "sha256": "4741c9333b4ee7d00324f3b679b27e6f096a97138fad3a16796b579f9fa833c6",113   "language": "Python",114   "lines": 93,115   "truncated": false,116   "block": 10,117   "row": 13123118  },119  {120   "path": "code/opendata/c28_sensitivity.py",121   "sha256": "d6a00ad2e7c0c4bb07b866631d42dac34a0986a947690adcf40313f703194e0a",122   "language": "Python",123   "lines": 99,124   "truncated": false,125   "block": 10,126   "row": 13135127  },128  {129   "path": "code/opendata/c29_audit_phi_tail.py",130   "sha256": "cc95dc4485cfbaf39ac9e23d6c6fff0eaf4e1879de9e4324a5437e3d0be68474",131   "language": "Python",132   "lines": 130,133   "truncated": false,134   "block": 10,135   "row": 13922136  },137  {138   "path": "code/opendata/c29_model_comparison.py",139   "sha256": "48443b46c470771704c63a242bf16253b7e80f675a339fc5b18b945b766c8c01",140   "language": "Python",141   "lines": 134,142   "truncated": false,143   "block": 10,144   "row": 14020145  },146  {147   "path": "code/opendata/c30_external_transport.py",148   "sha256": "a9713dc3fba46372b1649993ea76580167da3052dc55caf76706859d6c4cc26a",149   "language": "Python",150   "lines": 134,151   "truncated": false,152   "block": 10,153   "row": 13732154  },155  {156   "path": "code/opendata/c31_2w_rofl_fourcell.py",157   "sha256": "b3ee7d659600d4f1737d167a74676ee6dbfcb7804d027813b7be390a8c372f79",158   "language": "Python",159   "lines": 136,160   "truncated": false,161   "block": 10,162   "row": 13842163  },164  {165   "path": "code/opendata/c31_degradation_calibration.py",166   "sha256": "dfc18cf780fc03d4d01405acf49425210d4adbfc96b7ce8d145133704fc14dfb",167   "language": "Python",168   "lines": 221,169   "truncated": false,170   "block": 10,171   "row": 15252172  },173  {174   "path": "code/sims/coupling_extension_sims.py",175   "sha256": "087f05a9ad6de29e12835057113e7cb7159f4e226300780ae61f63d3d13e5392",176   "language": "Python",177   "lines": 64,178   "truncated": false,179   "block": 10,180   "row": 12888181  },182  {183   "path": "code/tools/verify_citations.py",184   "sha256": "17c4f57b50fbf55706c8334667bead96fb89e11838407923b6aaf2e2e7d78731",185   "language": "Python",186   "lines": 144,187   "truncated": false,188   "block": 10,189   "row": 15748190  },191  {192   "path": "targets/staveland_2026/code/01_reproduce_staveland.py",193   "sha256": "fb45bf6bfba0269befa53bcaac1b84554df00d43176bf3728ffe1888a28b36c1",194   "language": "Python",195   "lines": 48,196   "truncated": false,197   "block": 10,198   "row": 12149199  },200  {201   "path": "targets/staveland_2026/code/02_recoverability_margin.py",202   "sha256": "cc080143a91692640a50eeee3b29a02fa95741b939e74b3cb7919878b089427c",203   "language": "Python",204   "lines": 37,205   "truncated": false,206   "block": 10,207   "row": 11705208  },209  {210   "path": "targets/staveland_2026/code/03_reproduce_fig1_turnaround_reward.py",211   "sha256": "18272c4b2222361c5ac9ed52dd818c0d57e16cb9d97a665ef2016350bbdd75bd",212   "language": "Python",213   "lines": 89,214   "truncated": false,215   "block": 10,216   "row": 13279217  }218 ]219}