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__mancy-chen__embarc-fmri.json282 linesDownload Raw Back to 45
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/mancy-chen/embarc-fmri",4 "url": "https://github.com/Mancy-Chen/EMBARC-fMRI",5 "host": "github.com",6 "commit": "6371766d5eab43ea4c95c7e14a51e466ae3bf1f1",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "01_Raw_data_to_BIDS/01_raw-data_to_dicom/raw-data_to_dicom.sh",13   "sha256": "c0e1d65149b8a960e803906c762ccf1d2e3e7275114c817d9bd9986bb1e13c26",14   "language": "Shell",15   "lines": 10,16   "truncated": false,17   "block": 8,18   "row": 679919  },20  {21   "path": "01_Raw_data_to_BIDS/02_dicom_to_BIDS/HeuDiConv/CheckSliceTiming.py",22   "sha256": "b977bc2d56f92660370b1a1abce59748ad529c9b7b3f16084a988c628d0c199e",23   "language": "Python",24   "lines": 19,25   "truncated": false,26   "block": 6,27   "row": 2397328  },29  {30   "path": "01_Raw_data_to_BIDS/02_dicom_to_BIDS/HeuDiConv/heuristic.py",31   "sha256": "e8b8525a2bf0e4a8153e26f92e7624f7d882b17bffe8c226e09aba1209eb8579",32   "language": "Python",33   "lines": 44,34   "truncated": false,35   "block": 6,36   "row": 3506237  },38  {39   "path": "01_Raw_data_to_BIDS/02_dicom_to_BIDS/HeuDiConv/main.py",40   "sha256": "7063bb208bf9aab17924f5783b6773981cde5db1fe801658cb93ba788c2df1c6",41   "language": "Python",42   "lines": 58,43   "truncated": false,44   "block": 6,45   "row": 3726546  },47  {48   "path": "01_Raw_data_to_BIDS/03_BIDS_bug_solving/edat2toedat.py",49   "sha256": "710434825be63191544bf42efc2c8677880e00cc07d654164f264ee5fafcaa1f",50   "language": "Python",51   "lines": 16,52   "truncated": false,53   "block": 6,54   "row": 2323255  },56  {57   "path": "02_fMRIprep_preprocessing/fMRIprep/Success_check/main.py",58   "sha256": "56626eac0c6e705cda571fe0c04a13630761d2c96140eb3cee1a4ffb43f6b77b",59   "language": "Python",60   "lines": 108,61   "truncated": false,62   "block": 6,63   "row": 4030764  },65  {66   "path": "02_fMRIprep_preprocessing/fMRIprep/slurm.sh",67   "sha256": "abb4735a70fbf66663c2626acf908ebd19753460c9945d8ab8c1dfe55d6f51f2",68   "language": "Shell",69   "lines": 35,70   "truncated": false,71   "block": 8,72   "row": 801873  },74  {75   "path": "02_fMRIprep_preprocessing/motion/calculate_motion2plus_gonogo_epod1.m",76   "sha256": "50dd5cdee69189bc483118fb0deedc2d0debf6c5b90b1f002a893adfab43f1f1",77   "language": "MATLAB",78   "lines": 62,79   "truncated": false,80   "block": 6,81   "row": 1175082  },83  {84   "path": "02_fMRIprep_preprocessing/motion/calculate_motion_scrubbedFD.m",85   "sha256": "ed9bdf775813d031714925f44315d62eb1708d9d2c8499d59b7e34c5aee88c45",86   "language": "MATLAB",87   "lines": 67,88   "truncated": false,89   "block": 6,90   "row": 1264691  },92  {93   "path": "02_fMRIprep_preprocessing/motion/getFramewiseDisplacement_epod.m",94   "sha256": "f9b4ddde9faebb9c40ab3cc4cb85070f282704c44366158945b938d6eae0085a",95   "language": "MATLAB",96   "lines": 91,97   "truncated": false,98   "block": 6,99   "row": 13404100  },101  {102   "path": "03_FSL_FEAT/batch_clean_up_feat_results.sh",103   "sha256": "d5f61f6ae4eac0f48a8847d5c5c3724994bcde8c8e2b2d8285c438be7f232b76",104   "language": "Shell",105   "lines": 33,106   "truncated": false,107   "block": 8,108   "row": 7703109  },110  {111   "path": "03_FSL_FEAT/batch_copy_mask.sh",112   "sha256": "abf3a5b56a1c9340139b6e747faf303146a62682c2433f64c73dd5f0448b8325",113   "language": "Shell",114   "lines": 35,115   "truncated": false,116   "block": 8,117   "row": 7924118  },119  {120   "path": "03_FSL_FEAT/batch_feat_fsf.sh",121   "sha256": "af9fa1912e8fe35c99426d77c35834e7fd798f775e79ead45545a7f87f817257",122   "language": "Shell",123   "lines": 72,124   "truncated": false,125   "block": 8,126   "row": 8815127  },128  {129   "path": "03_FSL_FEAT/check_missing_error_trials.sh",130   "sha256": "69166f5c33c6ca144aefb99a3cf50484e9ea489697db9e29fc534aec7a6f6a12",131   "language": "Shell",132   "lines": 28,133   "truncated": false,134   "block": 8,135   "row": 7450136  },137  {138   "path": "03_FSL_FEAT/main.py",139   "sha256": "20e67fd3da63a9d89834b7797e86b56a48a3be67244cf521ae542208d1ef870a",140   "language": "Python",141   "lines": 1270,142   "truncated": false,143   "block": 8,144   "row": 300145  },146  {147   "path": "03_FSL_FEAT/mean_activation/main.py",148   "sha256": "c5b596b5e6bd42e9ab1039ef3c2f829a449d9afbf4d33b316fb0ef18b01d54ae",149   "language": "Python",150   "lines": 162,151   "truncated": false,152   "block": 6,153   "row": 42619154  },155  {156   "path": "03_FSL_FEAT/slurm output 8 - new normalization augmented/397_volumes/slurm_397.sh",157   "sha256": "5cc4c43e15374a1e8185096576ef39ea448eac106bd3ebdecbd47a70dbcd23d3",158   "language": "Shell",159   "lines": 86,160   "truncated": false,161   "block": 8,162   "row": 8795163  },164  {165   "path": "03_FSL_FEAT/slurm output 8 - new normalization augmented/400_volumes/slurm_400.sh",166   "sha256": "0f77e1a4a2e3595a343d1647bfb20fceb3fcb3de41c133a191460554ade77f63",167   "language": "Shell",168   "lines": 84,169   "truncated": false,170   "block": 8,171   "row": 8791172  },173  {174   "path": "03_FSL_FEAT/testLoadZStatAvg_old.m",175   "sha256": "33376559ed5ee63a61ea77c19880f8d68e141422db352a56cbf4d01593d8ecd2",176   "language": "MATLAB",177   "lines": 62,178   "truncated": false,179   "block": 6,180   "row": 7955181  },182  {183   "path": "04_radiomics/create_Amygdala_masks_MNIspace_ERTtask.sh",184   "sha256": "1e7a2777000ea723608537445c49024efc6bda2818019e61d3005ba68b8c3aa6",185   "language": "Shell",186   "lines": 13,187   "truncated": false,188   "block": 8,189   "row": 7177190  },191  {192   "path": "04_radiomics/main.py",193   "sha256": "b55833e467eff207122dd43b17d6f13bc4d284558a9acc8ee9ef5da11ef682d1",194   "language": "Python",195   "lines": 2019,196   "truncated": false,197   "block": 8,198   "row": 851199  },200  {201   "path": "05_regression_classification/Classification/McNemar's_test.py",202   "sha256": "adbcfae5d10f75fa9177bfcddfaeba55fa7ae56a1a5ca769b834e13274810ea5",203   "language": "Python",204   "lines": 323,205   "truncated": false,206   "block": 7,207   "row": 4006208  },209  {210   "path": "05_regression_classification/Classification/binomial_and_DeLong_test.py",211   "sha256": "bcd39aa0798f8318530373e7e472a02311566b3015619fbed12339aaa685c81e",212   "language": "Python",213   "lines": 401,214   "truncated": false,215   "block": 7,216   "row": 5258217  },218  {219   "path": "05_regression_classification/Classification/main.py",220   "sha256": "147851077bb601114d3efc2422162aa27ea36a31910965b0c520ae30ce272416",221   "language": "Python",222   "lines": 1203,223   "truncated": false,224   "block": 8,225   "row": 167226  },227  {228   "path": "05_regression_classification/Classification/save_feature_shap_value.py",229   "sha256": "bb42562b40f8d0f3346db9d3115bad303dede919d7b0d9e2051141e81e50c4cb",230   "language": "Python",231   "lines": 157,232   "truncated": false,233   "block": 6,234   "row": 43177235  },236  {237   "path": "05_regression_classification/RVM/main.py",238   "sha256": "f20482e9b0ce63cb0f2bbe0784c1cc4b00cc666fdbdf6401374d2cd413b157bd",239   "language": "Python",240   "lines": 1239,241   "truncated": false,242   "block": 8,243   "row": 243244  },245  {246   "path": "05_regression_classification/Regression/Friedman's_test_pairwise_wilcoxon.py",247   "sha256": "c9c136aa5b5d6446d594c7582a7fd9ccaf9de130b8d553f9df01572e7a81f24d",248   "language": "Python",249   "lines": 233,250   "truncated": false,251   "block": 6,252   "row": 45537253  },254  {255   "path": "05_regression_classification/Regression/main.py",256   "sha256": "98ab25117a4c2d86af2a3b4781dec80d7a293ca3df696d92ebce90796376d880",257   "language": "Python",258   "lines": 1024,259   "truncated": false,260   "block": 7,261   "row": 11627262  },263  {264   "path": "LICENSE",265   "sha256": "5551487f87196d06a5f55172361d69b53de8c17da0e5cc3ebc68b6cd40ae6764",266   "language": "License",267   "lines": 21,268   "truncated": false,269   "block": 6,270   "row": 1553271  },272  {273   "path": "README.md",274   "sha256": "8161a695a4ad15f7a9dd428185eb328dbca803f7370f665ed62c50a93db9535e",275   "language": "Text",276   "lines": 31,277   "truncated": false,278   "block": 8,279   "row": 9802280  }281 ]282}