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

rootmanifestsd2github.com__cardiacmodelling__ina-midpoints.json

github.com__cardiacmodelling__ina-midpoints.json237 linesDownload Raw Back to d2

1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/cardiacmodelling/ina-midpoints",4 "url": "https://github.com/CardiacModelling/ina-midpoints",5 "host": "github.com",6 "commit": "cfeca8890b7091c1bf0b8665f75317cef255d0a8",7 "license": "BSD-3-Clause",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "ac78a99c5725ef13e7c965901b6323a98d86e31a1f6dace87d0336aedad2d695",14   "language": "License",15   "lines": 29,16   "truncated": false,17   "block": 20,18   "row": 882419  },20  {21   "path": "README.md",22   "sha256": "7ba48063aa0ea47ea03e39f5ba0e517f1d725c87492cdfcc24f05519305b00ad",23   "language": "Text",24   "lines": 66,25   "truncated": false,26   "block": 21,27   "row": 300528  },29  {30   "path": "base/__init__.py",31   "sha256": "9e83535f0bb7bd45f9e0806c93b93050da2a83719d5c284690c96bbd46357ab7",32   "language": "Python",33   "lines": 30,34   "truncated": false,35   "block": 20,36   "row": 1336037  },38  {39   "path": "base/_connection.py",40   "sha256": "8a06086d71c8cbea3ef677ba449dc3dd314f13f1c565544bbd44f2a0c8fb0ab5",41   "language": "Python",42   "lines": 59,43   "truncated": false,44   "block": 20,45   "row": 1508746  },47  {48   "path": "base/_plot.py",49   "sha256": "f7e8269cab12ea2e9afd89df689e6b21c5529ae3b3ef6c2a897267a3e0c12407",50   "language": "Python",51   "lines": 41,52   "truncated": false,53   "block": 20,54   "row": 1438155  },56  {57   "path": "d0-90th-percentile.py",58   "sha256": "742ac5a6af6a6780282640a136e613e427f5355d95120406035d7c0613887f93",59   "language": "Python",60   "lines": 20,61   "truncated": false,62   "block": 20,63   "row": 1371364  },65  {66   "path": "d1-counts.py",67   "sha256": "e58a4ac9b19085738767c9e2c5c03306f1d0d2378452b42fd1298d6bede6bfc6",68   "language": "Python",69   "lines": 65,70   "truncated": false,71   "block": 20,72   "row": 1579473  },74  {75   "path": "d2-sigmas.py",76   "sha256": "44ecc496efc0c6e7ee103d7b616798a65e01d0fdb18e872fc43223d6dab427c0",77   "language": "Python",78   "lines": 50,79   "truncated": false,80   "block": 20,81   "row": 1501782  },83  {84   "path": "d3-means.py",85   "sha256": "cd2dba01bea6f4c8b62967b1116759006ca909e6edcdf286a4bdd703bc8cca70",86   "language": "Python",87   "lines": 36,88   "truncated": false,89   "block": 20,90   "row": 1425591  },92  {93   "path": "d4-within-study.py",94   "sha256": "3bb83a974416e2f47b874154eafe9e7beb390708ead7115cced4a29d86ae5ce8",95   "language": "Python",96   "lines": 27,97   "truncated": false,98   "block": 20,99   "row": 14028100  },101  {102   "path": "d5-temperatures.py",103   "sha256": "da506556f3712d4527d50d244852fa52d21900e81e787a37e53da035506dea3e",104   "language": "Python",105   "lines": 26,106   "truncated": false,107   "block": 20,108   "row": 13744109  },110  {111   "path": "d6-slopes.py",112   "sha256": "3bab5e0215117c946290bab01ae7d5fb88e52227f36ed354efb855c7a08630e3",113   "language": "Python",114   "lines": 34,115   "truncated": false,116   "block": 20,117   "row": 14182118  },119  {120   "path": "d7-protocols.py",121   "sha256": "a46c104dd1f017da57ca4186f2564767224a533e9a0bf7b6371942e819e85fa2",122   "language": "Python",123   "lines": 90,124   "truncated": false,125   "block": 20,126   "row": 16938127  },128  {129   "path": "d8-ljp.py",130   "sha256": "5748fa52db3d6b8c82fe71bbe106ba85537d63ab13270c38f1689a2a8b058eba",131   "language": "Python",132   "lines": 31,133   "truncated": false,134   "block": 20,135   "row": 13661136  },137  {138   "path": "f2-all.py",139   "sha256": "913137914bfd5d2816bd79f1470ad5f953e8abde9db582114ba29862e7cee15c",140   "language": "Python",141   "lines": 168,142   "truncated": false,143   "block": 20,144   "row": 18264145  },146  {147   "path": "f3-correlation.py",148   "sha256": "a7aa0fa1c631ba5f2e76bdd1fb7570b88403c04cf11eb25b008aae750c216f31",149   "language": "Python",150   "lines": 281,151   "truncated": false,152   "block": 20,153   "row": 19716154  },155  {156   "path": "f4-subgroups.py",157   "sha256": "772d2e360d6a446c1e0f70951c3af54b4c9fb5299331cdd5af06ef38f246ce73",158   "language": "Python",159   "lines": 177,160   "truncated": false,161   "block": 20,162   "row": 18448163  },164  {165   "path": "f5-experimental.py",166   "sha256": "861927055c9962e39524721db4e787c2a294d78898d058a3204114341af41b4f",167   "language": "Python",168   "lines": 155,169   "truncated": false,170   "block": 20,171   "row": 17712172  },173  {174   "path": "s1-regression.py",175   "sha256": "11b92604e0176229aee856909953ede0825d906de800640f600c17de07e31172",176   "language": "Python",177   "lines": 287,178   "truncated": false,179   "block": 20,180   "row": 19509181  },182  {183   "path": "t1-multi-exp.py",184   "sha256": "299a6b4b8792be7e57e2817845dedda0b7dbf93e5685cb026cb5679ec2bf8993",185   "language": "Python",186   "lines": 61,187   "truncated": false,188   "block": 20,189   "row": 15204190  },191  {192   "path": "t2-cell-counts.py",193   "sha256": "c3517e7acacca202e1f06689ea3ef2b3595fbcb989c0044543dafdb3ce304630",194   "language": "Python",195   "lines": 73,196   "truncated": false,197   "block": 20,198   "row": 15820199  },200  {201   "path": "t3-all-midpoints.py",202   "sha256": "f94f0a92944742e383095e8d7f8afa576ede7769aa1626be40d6d1d65637732d",203   "language": "Python",204   "lines": 106,205   "truncated": false,206   "block": 20,207   "row": 16539208  },209  {210   "path": "t4-journals.py",211   "sha256": "7fd4c7f3ced73d10cf723b65bf52b124f69d4f20fcdf446759b1da688952f882",212   "language": "Python",213   "lines": 25,214   "truncated": false,215   "block": 20,216   "row": 13557217  },218  {219   "path": "t5-nearest.py",220   "sha256": "1ae3474233824b2af4cb5345566a9cf44ac0aea9335a2f6775e20a3cbde83755",221   "language": "Python",222   "lines": 28,223   "truncated": false,224   "block": 20,225   "row": 13582226  },227  {228   "path": "x1-sigma-vs-n.py",229   "sha256": "9d6c45259b59d01a0cc103e1a7f47b1d164462f60da8b81bf1844cb408aadcdb",230   "language": "Python",231   "lines": 57,232   "truncated": false,233   "block": 20,234   "row": 14663235  }236 ]237}