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

rootmanifests4egithub.com__uit-no__lickcalc.json

github.com__uit-no__lickcalc.json255 linesDownload Raw Back to 4e

1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/uit-no/lickcalc",4 "url": "https://github.com/uit-no/lickcalc",5 "host": "github.com",6 "commit": "c1b3ae616fca6ed2ea41051f7a46d125d50b8148",7 "license": "GPL-3.0",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "3972dc9744f6499f0f9b2dbf76696f2ae7ad8af9b23dde66d6af86c9dfb36986",14   "language": "License",15   "lines": 674,16   "truncated": false,17   "block": 1,18   "row": 223519  },20  {21   "path": "README.md",22   "sha256": "0777e9fcd0f0fb5a6de2cfd76ca7190b73a081d56f82be1f394c0175f53e3b0e",23   "language": "Text",24   "lines": 158,25   "truncated": false,26   "block": 16,27   "row": 741428  },29  {30   "path": "_version.py",31   "sha256": "3259b81af99bffac90c7051bbf62ac73e0491572cf83d1f556dda257bc17ac0e",32   "language": "Python",33   "lines": 1,34   "truncated": false,35   "block": 15,36   "row": 549237  },38  {39   "path": "app.py",40   "sha256": "4769005cdd8919dd72f6794ccc92f5dacd4bf6314bb4d2ad22dabf6466c818fa",41   "language": "Python",42   "lines": 26,43   "truncated": false,44   "block": 15,45   "row": 699346  },47  {48   "path": "app_instance.py",49   "sha256": "201f4c0f1163c72fc5b472beb2e5a788bdd336f14508f0ab45096539d6c0a086",50   "language": "Python",51   "lines": 21,52   "truncated": false,53   "block": 15,54   "row": 671455  },56  {57   "path": "callbacks/__init__.py",58   "sha256": "ae3951fe40688cf0fe8335aeb08431259157ae2000836ad095faccace9c042b6",59   "language": "Python",60   "lines": 19,61   "truncated": false,62   "block": 15,63   "row": 672664  },65  {66   "path": "callbacks/about_callbacks.py",67   "sha256": "ed5f7256848bf00e27ee49c00719be4060639dd9749b8f3b330d04f7b1b69a5d",68   "language": "Python",69   "lines": 66,70   "truncated": false,71   "block": 15,72   "row": 1002573  },74  {75   "path": "callbacks/config_callbacks.py",76   "sha256": "e498beecf40fd64e93e91c67020d5333cb775285f6be60d6bd1d28c903ed257d",77   "language": "Python",78   "lines": 511,79   "truncated": false,80   "block": 15,81   "row": 2523082  },83  {84   "path": "callbacks/data_callbacks.py",85   "sha256": "f760bd5f64bfa0d2e17c8857db0b40f932758ae0ab402fc598e5c7f770240806",86   "language": "Python",87   "lines": 483,88   "truncated": false,89   "block": 15,90   "row": 2529391  },92  {93   "path": "callbacks/export_callbacks.py",94   "sha256": "d2a9f2abd6239e37677ba3404a5eefdf2429303bfe3e6e33588e2ba090e3d8ce",95   "language": "Python",96   "lines": 2042,97   "truncated": false,98   "block": 16,99   "row": 1702100  },101  {102   "path": "callbacks/graph_callbacks.py",103   "sha256": "6a03843e9ce55633e703be2179a0c53c19f168e9ef365bd07660525ec65dee52",104   "language": "Python",105   "lines": 1504,106   "truncated": false,107   "block": 16,108   "row": 1434109  },110  {111   "path": "config_manager.py",112   "sha256": "be32606b49fea57fac204fb78c60617f79813a1bbae27219a057cdf3b6c62789",113   "language": "Python",114   "lines": 298,115   "truncated": false,116   "block": 15,117   "row": 22406118  },119  {120   "path": "layout.py",121   "sha256": "ecea208aeb71de6b4eb5e747dbbc5d7d8e68dba5c9e43e4151bcda745719f208",122   "language": "Python",123   "lines": 1040,124   "truncated": false,125   "block": 16,126   "row": 1149127  },128  {129   "path": "manage_help.py",130   "sha256": "3bff7bd621fee8bd32e26d0f894201afa2c61bfec16f5baafe35126d92fbc2cb",131   "language": "Python",132   "lines": 120,133   "truncated": false,134   "block": 15,135   "row": 15166136  },137  {138   "path": "notebooks/Test figs for lickcalc webapp.ipynb",139   "sha256": "78814f81761ef513bf9bc03c8feff30f01f644e758b50b5cddced710d6dd3664",140   "language": "Jupyter",141   "lines": 102,142   "truncated": false,143   "block": 14,144   "row": 14970145  },146  {147   "path": "notebooks/generate_toy_data.ipynb",148   "sha256": "d773c41fe464bd6f3585865230c8c1137fc99f6d9f68df3e2f08fbe64e01a7e3",149   "language": "Jupyter",150   "lines": 885,151   "truncated": false,152   "block": 14,153   "row": 16573154  },155  {156   "path": "notebooks/new_file_parsers.ipynb",157   "sha256": "1f8ff9987525258e71ad5fe5e074073a0bffe3f16ec86a0fc94710d527401c37",158   "language": "Jupyter",159   "lines": 463,160   "truncated": false,161   "block": 14,162   "row": 16045163  },164  {165   "path": "test_triallike.py",166   "sha256": "82521f4413500e123de13facce83a3c9adc3b762fab038e9307743af43025592",167   "language": "Python",168   "lines": 27,169   "truncated": false,170   "block": 15,171   "row": 8361172  },173  {174   "path": "tests/test_config.py",175   "sha256": "07151104819754f9807a186c5840a8d458d55ee823dc5f0e37e40db460278933",176   "language": "Python",177   "lines": 38,178   "truncated": false,179   "block": 15,180   "row": 8959181  },182  {183   "path": "tests/test_first_n_ilis.py",184   "sha256": "04ef60e98dc6e0d3b6b2a3a28d5584ed11ec9ae93f1e9a3f1efe44dc040c8dd9",185   "language": "Python",186   "lines": 93,187   "truncated": false,188   "block": 15,189   "row": 13621190  },191  {192   "path": "tooltips.py",193   "sha256": "548e496eb029abe79762ede300d017a35d0bd0351613ef7dc934765e22bdcef4",194   "language": "Python",195   "lines": 167,196   "truncated": false,197   "block": 15,198   "row": 19568199  },200  {201   "path": "utils/__init__.py",202   "sha256": "a650dffb71608c79209532f69a199f3d97c8233b98a3ada5a10ab23f5a71edd0",203   "language": "Python",204   "lines": 43,205   "truncated": false,206   "block": 15,207   "row": 8146208  },209  {210   "path": "utils/calculations.py",211   "sha256": "2cca76d5e6024e8fa893a6e1d9c9c90aa0739bbfc664775b403b268fa45ae8b6",212   "language": "Python",213   "lines": 482,214   "truncated": false,215   "block": 15,216   "row": 24973217  },218  {219   "path": "utils/file_parsers.py",220   "sha256": "c0f0c6f3c97e16a4e550f59c8db1f632ba220451ed0c282f3776f2981242b683",221   "language": "Python",222   "lines": 297,223   "truncated": false,224   "block": 15,225   "row": 21346226  },227  {228   "path": "utils/generate_synthetic_data.py",229   "sha256": "3be5bdc40c278ebb17077fa48b1a9f3f42a63b32ea5b174b09641274e76a7c1a",230   "language": "Python",231   "lines": 452,232   "truncated": false,233   "block": 15,234   "row": 24352235  },236  {237   "path": "utils/validation.py",238   "sha256": "0c88dc71deb543afef082e622f3eea0dcfe92a342f6a92ea3675b4bde49a3b1e",239   "language": "Python",240   "lines": 126,241   "truncated": false,242   "block": 15,243   "row": 16622244  },245  {246   "path": "verify_sliders.py",247   "sha256": "db6023d48a50d78d6ca7e19baf793cc99085bedca30c11b4e3fabeb3765eb848",248   "language": "Python",249   "lines": 51,250   "truncated": false,251   "block": 15,252   "row": 10402253  }254 ]255}