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__postonlab__ivim_fit.json246 linesDownload Raw Back to d3
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/postonlab/ivim_fit",4 "url": "https://github.com/PostonLab/IVIM_fit",5 "host": "github.com",6 "commit": "9b1681cac3b695126548eddd8f75b1f39bbd8b39",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "d3f71f4b7c58958fe06108bccab3b5bb8f184dfecece2104ce523498544a138d",14   "language": "License",15   "lines": 21,16   "truncated": false,17   "block": 6,18   "row": 148119  },20  {21   "path": "README.md",22   "sha256": "6d4b1f6e400eede0d5261f8f95ec2161737c5b516ded4cbda03e3b743834978b",23   "language": "Text",24   "lines": 202,25   "truncated": false,26   "block": 8,27   "row": 1049228  },29  {30   "path": "docs/conf.py",31   "sha256": "9cc4c5b6672d755f19dfeea89c9c9b70deca33e5c4df749bcfefb8b1934cf9e6",32   "language": "Python",33   "lines": 57,34   "truncated": false,35   "block": 6,36   "row": 3145937  },38  {39   "path": "ivim_fit/run.py",40   "sha256": "2f026d82be1827d7d0f5e24124e17cd39079879cd2bf81846fe70a51e4cf65c7",41   "language": "Python",42   "lines": 23,43   "truncated": false,44   "block": 6,45   "row": 2281446  },47  {48   "path": "ivim_fit/workflow/lib/check_subj_dwi_metadata.py",49   "sha256": "b867c38f13a5fc5a19264104e5a3f2e31f6eb8c79c3721f8c3e9fac97d603cb6",50   "language": "Python",51   "lines": 162,52   "truncated": false,53   "block": 6,54   "row": 4205355  },56  {57   "path": "ivim_fit/workflow/scripts/diffusion/concat_bv.py",58   "sha256": "d51aec70ea84d1dd74ffd76d5f96ffa9a1fcb440c8466e8645ad18849f92c1c7",59   "language": "Python",60   "lines": 18,61   "truncated": false,62   "block": 6,63   "row": 2241464  },65  {66   "path": "ivim_fit/workflow/scripts/diffusion/eddy/get_eddy_index_txt.py",67   "sha256": "1634a8d1364c54739a47f7ff967b610ec11ac8b04f6fada2362e387eb0a4c7eb",68   "language": "Python",69   "lines": 29,70   "truncated": false,71   "block": 6,72   "row": 2425473  },74  {75   "path": "ivim_fit/workflow/scripts/diffusion/eddy/get_slspec_txt.py",76   "sha256": "ca7b70611437b9fd9a023013abd2c9df4a047abb2af693d42b0bf8b7e6ff0af2",77   "language": "Python",78   "lines": 30,79   "truncated": false,80   "block": 6,81   "row": 2521282  },83  {84   "path": "ivim_fit/workflow/scripts/diffusion/get_phase_encode_txt.py",85   "sha256": "7cfa26e4d375fd2a2ad6fa873b3d90be8e011a9d8039770dded9309ce7f7613a",86   "language": "Python",87   "lines": 85,88   "truncated": false,89   "block": 6,90   "row": 3541091  },92  {93   "path": "ivim_fit/workflow/scripts/diffusion/get_shell_avg.py",94   "sha256": "c5848ab4994665f280d90540f1a0e41e288cd49231ea3fd9a959a463780a4f14",95   "language": "Python",96   "lines": 46,97   "truncated": false,98   "block": 6,99   "row": 28214100  },101  {102   "path": "ivim_fit/workflow/scripts/diffusion/get_shell_avgs.py",103   "sha256": "c29cc26ab84d554818732b6a45d70d0520984ae092f75b24888f942aef18daaf",104   "language": "Python",105   "lines": 41,106   "truncated": false,107   "block": 6,108   "row": 26508109  },110  {111   "path": "ivim_fit/workflow/scripts/diffusion/get_shell_vols.py",112   "sha256": "20eb9b60f4c2a1642243bd674f94a18fabdd05627d6f17a1de37984ecc661d87",113   "language": "Python",114   "lines": 47,115   "truncated": false,116   "block": 6,117   "row": 28861118  },119  {120   "path": "ivim_fit/workflow/scripts/diffusion/get_shells_from_bvals.py",121   "sha256": "4540e3d504008093a179c924145ebfaebfca57f2956b7be0cd6808e55df3fbcb",122   "language": "Python",123   "lines": 70,124   "truncated": false,125   "block": 6,126   "row": 34322127  },128  {129   "path": "ivim_fit/workflow/scripts/diffusion/rotate_bvecs.sh",130   "sha256": "ee809e9aeeea6dc2113e2481303b862f8cf1a492f245380c12c574ace52d29ed",131   "language": "Shell",132   "lines": 67,133   "truncated": false,134   "block": 8,135   "row": 8544136  },137  {138   "path": "ivim_fit/workflow/scripts/fitting/avg_dwi.py",139   "sha256": "9f2fa232d4d0055316ee14676de6025adcd4022c2f5b176c03ed56b9d7188862",140   "language": "Python",141   "lines": 100,142   "truncated": false,143   "block": 6,144   "row": 34954145  },146  {147   "path": "ivim_fit/workflow/scripts/fitting/avg_n_fit.py",148   "sha256": "13e4d913d15ba16d28dac82f39f2bdb215713648aef50ab5cf1be2494fe1575b",149   "language": "Python",150   "lines": 104,151   "truncated": false,152   "block": 6,153   "row": 35936154  },155  {156   "path": "ivim_fit/workflow/scripts/fitting/concat_fitted.py",157   "sha256": "9547cf2cea85faa9e2aa8554485be99ceffa2737d5a2deb5871791deb3743891",158   "language": "Python",159   "lines": 52,160   "truncated": false,161   "block": 6,162   "row": 29467163  },164  {165   "path": "ivim_fit/workflow/scripts/fitting/fit.py",166   "sha256": "5eab30e39225989c0dbb2f8177cbb085bc63286077aa588d6b354da3df07a06a",167   "language": "Python",168   "lines": 194,169   "truncated": false,170   "block": 6,171   "row": 42623172  },173  {174   "path": "ivim_fit/workflow/scripts/fitting/mean_fitted.py",175   "sha256": "6f95756e4310e96f9363e9e3a4d84efc7e36c91e22ff6cdc1f950577bf930b03",176   "language": "Python",177   "lines": 42,178   "truncated": false,179   "block": 6,180   "row": 26348181  },182  {183   "path": "ivim_fit/workflow/scripts/fitting/mean_fitted_loop.py",184   "sha256": "cb66216f92d8c4eecb2912e96ece9ebc823945fc1975f8f3f41fa8edce30800b",185   "language": "Python",186   "lines": 40,187   "truncated": false,188   "block": 6,189   "row": 25859190  },191  {192   "path": "ivim_fit/workflow/scripts/fitting/transform.sh",193   "sha256": "98d02775783ec0f46e54c104970b5084f6fd72da8cb72c78e247255e9f091cbc",194   "language": "Shell",195   "lines": 40,196   "truncated": false,197   "block": 8,198   "row": 7947199  },200  {201   "path": "ivim_fit/workflow/scripts/metadata/check_subj_dwi_metadata.py",202   "sha256": "187e449f833f0dd63264f0e4076657a3bf9e7503f43c483513bd6a269e4635f1",203   "language": "Python",204   "lines": 176,205   "truncated": false,206   "block": 6,207   "row": 43024208  },209  {210   "path": "ivim_fit/workflow/scripts/metadata/concat_subj_metadata.py",211   "sha256": "61a2d4140cb1d01a54198f6e0f43fdb2810ecdc988a6c88a78fdbb33be9f23c8",212   "language": "Python",213   "lines": 17,214   "truncated": false,215   "block": 6,216   "row": 22323217  },218  {219   "path": "ivim_fit/workflow/scripts/metadata/create_missing_subj_tsv.py",220   "sha256": "026c77f513e213704d225af0aa14d07c7352f8be800a62c05c3e8c2723701b4c",221   "language": "Python",222   "lines": 25,223   "truncated": false,224   "block": 6,225   "row": 23188226  },227  {228   "path": "ivim_fit/workflow/scripts/metadata/write_nii_resolution_to_txt.py",229   "sha256": "e3c00e34fd6d0a354f0d501916a11b8c816624d9bb3d56f3807d04dd32f98753",230   "language": "Python",231   "lines": 16,232   "truncated": false,233   "block": 6,234   "row": 22363235  },236  {237   "path": "setup_env.sh",238   "sha256": "89d1c2a1875ec9d169a837e5d6d507b31a458c0da0a275cc2b2b9f24d473cf7f",239   "language": "Shell",240   "lines": 24,241   "truncated": false,242   "block": 8,243   "row": 7264244  }245 ]246}