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
rootmanifestsccgithub.com__scsnl__strock_sciadv_2025.json
github.com__scsnl__strock_sciadv_2025.json372 linesDownload Raw Back to cc
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/scsnl/strock_sciadv_2025",4 "url": "https://github.com/scsnl/Strock_SciAdv_2025",5 "host": "github.com",6 "commit": "82c739acb5b22c8e645fdffafdeefa0c8f4bef86",7 "license": "CC-BY-NC-4.0",8 "license_confirmed_by": "license file LICENSE.md",9 "redistribution": "with_conditions",10 "files": [11  {12   "path": "LICENSE.md",13   "sha256": "7bede001d90d0bba90e30de16df4a3b350f1f0f9d3742ffa8b1dad53bd685b85",14   "language": "License",15   "lines": 149,16   "truncated": false,17   "block": 22,18   "row": 1418419  },20  {21   "path": "README.md",22   "sha256": "8215cd6eac190bca4fca945ded7361a2a4e94331b64552303050f6b61788a924",23   "language": "Text",24   "lines": 84,25   "truncated": false,26   "block": 24,27   "row": 50728  },29  {30   "path": "analysis/behavioral_analysis/numberline_entropy.py",31   "sha256": "fdaff1bdef802fa7de13ef6d8535ec08f12cb1d3040bd24850cc00b056d46d72",32   "language": "Python",33   "lines": 96,34   "truncated": false,35   "block": 23,36   "row": 478037  },38  {39   "path": "analysis/manifold_analysis/step_manifold.py",40   "sha256": "ab4c766eb852671d6d02e16271257b73be2a48be903ae712fca7ebad7c319b53",41   "language": "Python",42   "lines": 114,43   "truncated": false,44   "block": 23,45   "row": 602546  },47  {48   "path": "analysis/manifold_analysis/step_manifold_proj.py",49   "sha256": "54d03b5348134c3aeb6c5706d28e277a2023264f9d0e8f3fc786cbd1bc238cfc",50   "language": "Python",51   "lines": 120,52   "truncated": false,53   "block": 23,54   "row": 662555  },56  {57   "path": "analysis/performance_behavior.py",58   "sha256": "e0583c740366bfac28627d092caa8abe7504ac1925399a2bf88deff819b54a80",59   "language": "Python",60   "lines": 30,61   "truncated": false,62   "block": 22,63   "row": 2889264  },65  {66   "path": "analysis/similarity_analysis/addsub_similarity.py",67   "sha256": "29cf09953190d4ee0aefc68e2102d3dc5d7146280165440a9db573f2f831ae97",68   "language": "Python",69   "lines": 111,70   "truncated": false,71   "block": 23,72   "row": 639373  },74  {75   "path": "common/nn_modeling/dataset/arithmetic.py",76   "sha256": "d24e94f85df57fb522582f1999aa1a9257c55a64fb2fa6e311c7328c6a3046b2",77   "language": "Python",78   "lines": 313,79   "truncated": false,80   "block": 23,81   "row": 1089182  },83  {84   "path": "common/nn_modeling/model/torch.py",85   "sha256": "3d5782bb276b0490b343aeffcb33b42849aa58efbf288b93318779197b31c1fb",86   "language": "Python",87   "lines": 121,88   "truncated": false,89   "block": 23,90   "row": 614091  },92  {93   "path": "common/slurm/mvsubmit.py",94   "sha256": "515ae28999f9c07458e5d1a03d100a71e42bdd6e4f9f8bbecccecdd7c97edfcf",95   "language": "Python",96   "lines": 38,97   "truncated": false,98   "block": 23,99   "row": 2175100  },101  {102   "path": "common/slurm/pysubmit.py",103   "sha256": "619a1a90348137a99d5dc5ef380946f98799c7a806d9ed7ffc946d430e232af2",104   "language": "Python",105   "lines": 62,106   "truncated": false,107   "block": 23,108   "row": 5774109  },110  {111   "path": "common/slurm/rmsubmit.py",112   "sha256": "a9197cb41eab1e45292508d05a11a0b5ae31e7497a4dc227a9f0bd842847bb4f",113   "language": "Python",114   "lines": 39,115   "truncated": false,116   "block": 23,117   "row": 2377118  },119  {120   "path": "common/slurm/slurm_aliases.sh",121   "sha256": "68000e9f47c6d01cae18366ef1d77ad8b9e00629db35147ae3f0f4f3a4159a50",122   "language": "Shell",123   "lines": 17,124   "truncated": false,125   "block": 23,126   "row": 17849127  },128  {129   "path": "dataset/addsub18_font.py",130   "sha256": "e219421957feb6f3467dc5e91235089a3a931765efec1fd360c6615a62d8780c",131   "language": "Python",132   "lines": 81,133   "truncated": false,134   "block": 23,135   "row": 3099136  },137  {138   "path": "dataset/addsub18_handwritten.py",139   "sha256": "5d69112cda3bf070bde1fa050dbd5206c0ad0113edaf73d692e000b4814bbff2",140   "language": "Python",141   "lines": 77,142   "truncated": false,143   "block": 23,144   "row": 2569145  },146  {147   "path": "dataset/behavior_addsub18.py",148   "sha256": "5662e36dbd47554b14e26eb5aebd29470a8b0e4fc1308f0eeb9f5e71d1bd1ddc",149   "language": "Python",150   "lines": 66,151   "truncated": false,152   "block": 23,153   "row": 1699154  },155  {156   "path": "environment.sh",157   "sha256": "262918473a738a62e6a876dde6c4073ad82e4a2e2e13980d01de0ee5aea742b4",158   "language": "Shell",159   "lines": 33,160   "truncated": false,161   "block": 23,162   "row": 17882163  },164  {165   "path": "model/summary.py",166   "sha256": "d7451184b76a29c747d2e9dd9105c3d0250bd3f489d3638fca83555138faec0c",167   "language": "Python",168   "lines": 48,169   "truncated": false,170   "block": 23,171   "row": 632172  },173  {174   "path": "model/test.py",175   "sha256": "2cac440709008381717715bd3c529cb72a1b21b9e3179318a2481cf2dad57653",176   "language": "Python",177   "lines": 168,178   "truncated": false,179   "block": 23,180   "row": 9356181  },182  {183   "path": "model/train.py",184   "sha256": "d33bb66c3aa840ca7ffbbcc981fe43fb6c0d203cde2afc4b1613718d8012821c",185   "language": "Python",186   "lines": 111,187   "truncated": false,188   "block": 23,189   "row": 5745190  },191  {192   "path": "paper/figure2.py",193   "sha256": "4a3a12bb5bfe4f7bcb4e6289bfd722fbc6672a376b5b7c7d912943c75e512f73",194   "language": "Python",195   "lines": 143,196   "truncated": false,197   "block": 23,198   "row": 7454199  },200  {201   "path": "paper/figure3.py",202   "sha256": "7bb92c579a88b23bce7804a3834e268002ab90f2bd53a3ec08d7701bca646f26",203   "language": "Python",204   "lines": 227,205   "truncated": false,206   "block": 23,207   "row": 10924208  },209  {210   "path": "paper/figure4.py",211   "sha256": "6a2a2fbba41dda1a0e3dcfc20e6d6d7c39348255923844e021a027464baa9a40",212   "language": "Python",213   "lines": 167,214   "truncated": false,215   "block": 23,216   "row": 9673217  },218  {219   "path": "paper/figure5.py",220   "sha256": "88012a22f03fd94d24905df415bb3077f9224689c455680decbc1fe638833a12",221   "language": "Python",222   "lines": 240,223   "truncated": false,224   "block": 23,225   "row": 11035226  },227  {228   "path": "paper/figure6.py",229   "sha256": "a315e9e8cf2f22c22dc24d6233d263e69c565803a01fd7ca1ce558932b14d9b6",230   "language": "Python",231   "lines": 175,232   "truncated": false,233   "block": 23,234   "row": 9726235  },236  {237   "path": "paper/figure7.py",238   "sha256": "cd48a7ce7c1cbc05819704b9e1b83d6619d51bf53671b6952242b99c5ee159e9",239   "language": "Python",240   "lines": 237,241   "truncated": false,242   "block": 23,243   "row": 11241244  },245  {246   "path": "paper/figure8.py",247   "sha256": "9dc4893ac32f862d9759de00a9e8ded3c084528de13eb343a5e9abfc46922da4",248   "language": "Python",249   "lines": 277,250   "truncated": false,251   "block": 23,252   "row": 12606253  },254  {255   "path": "paper/figureS1.py",256   "sha256": "f930a73de845be671bca24973471eb76ab71a9f9bc4df2faa59207a7e5006d77",257   "language": "Python",258   "lines": 183,259   "truncated": false,260   "block": 23,261   "row": 10455262  },263  {264   "path": "paper/figureS2.py",265   "sha256": "46a35ba84a21fca998d0e6d1d30a2a3c5c33bb35389cd29edf464b8b3beacd36",266   "language": "Python",267   "lines": 165,268   "truncated": false,269   "block": 23,270   "row": 9286271  },272  {273   "path": "paper/figureS3.py",274   "sha256": "84598bea03dcd56d636db51facb2e4d4bcde197bcbb0fd9e575d00259fff5e15",275   "language": "Python",276   "lines": 263,277   "truncated": false,278   "block": 23,279   "row": 11561280  },281  {282   "path": "paper/figureS4.py",283   "sha256": "39d25598b2667806d4d9d4d1bda53ad159dc66ad758beec0ca166c6e9e6cb24d",284   "language": "Python",285   "lines": 172,286   "truncated": false,287   "block": 23,288   "row": 9096289  },290  {291   "path": "paper/figureS5.py",292   "sha256": "e80f1857862124c28850ea2f6e908fdc3b8edde79661d522efd0e7af81c89507",293   "language": "Python",294   "lines": 237,295   "truncated": false,296   "block": 23,297   "row": 11530298  },299  {300   "path": "paper/figureS6.py",301   "sha256": "1ff0e7ab6a8000dd3a1d9ff4f078b2031ea2a68fe95d3618476a90a83081e7d8",302   "language": "Python",303   "lines": 222,304   "truncated": false,305   "block": 23,306   "row": 10730307  },308  {309   "path": "paper/figureS7.py",310   "sha256": "cb2ca2ed61065a5046db125d7cfca3ceb72a2741bcb1a9e3b53513ec2a49fd5d",311   "language": "Python",312   "lines": 126,313   "truncated": false,314   "block": 23,315   "row": 6169316  },317  {318   "path": "paper/figureS8.py",319   "sha256": "603363ea02d3ee01b5adaf71715bec66974216443a00caebcd90e4e1c84bb6ad",320   "language": "Python",321   "lines": 126,322   "truncated": false,323   "block": 23,324   "row": 6179325  },326  {327   "path": "paper/figureS9.py",328   "sha256": "d8c56a961dd73d938f2d942cca98b03f37b89ed3ca540ed36d34ce356282792b",329   "language": "Python",330   "lines": 311,331   "truncated": false,332   "block": 23,333   "row": 12492334  },335  {336   "path": "paper/figure_all.sh",337   "sha256": "14c9a0bbe61ab977e34fa14a46366e38d9d84748947afb27b7d1ee651d3df178",338   "language": "Shell",339   "lines": 16,340   "truncated": false,341   "block": 23,342   "row": 17365343  },344  {345   "path": "paper/utils/data.py",346   "sha256": "67fc90ce121043ec338fffb1b54a3315fc48fab5e9b2d99b754412516345b6a0",347   "language": "Python",348   "lines": 29,349   "truncated": false,350   "block": 22,351   "row": 28406352  },353  {354   "path": "paper/utils/plots.py",355   "sha256": "5f81450b74235e83649f199e61c840553a1c9b90bca5d9b95166171da809a3a1",356   "language": "Python",357   "lines": 577,358   "truncated": false,359   "block": 23,360   "row": 14145361  },362  {363   "path": "paper/utils/prompt.py",364   "sha256": "2f105ac26eefd85f234499c823361542f792b6d57d0caa38677fae4f5aa74529",365   "language": "Python",366   "lines": 12,367   "truncated": false,368   "block": 22,369   "row": 26550370  }371 ]372}