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
rootmanifestsd4github.com__hstealey__bci_analysis.json
github.com__hstealey__bci_analysis.json291 linesDownload Raw Back to d4
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/hstealey/bci_analysis",4 "url": "https://github.com/hstealey/bci_analysis/DEMO_data",5 "host": "github.com",6 "commit": "76d745b7344818592b5e9d70096545b231099d79",7 "license": "BSD-3-Clause",8 "license_confirmed_by": "license file LICENSE.txt",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE.txt",13   "sha256": "ae8ded035b891ff4df2c52611c39c29ed1ac21669c55691c284e1928c8e04c17",14   "language": "License",15   "lines": 14,16   "truncated": false,17   "block": 3,18   "row": 810419  },20  {21   "path": "README.md",22   "sha256": "c3fd97fb902c187c914c60163187e3cb81b47db69ae4733932142b2107bddf15",23   "language": "Text",24   "lines": 122,25   "truncated": false,26   "block": 4,27   "row": 257228  },29  {30   "path": "functions/behavior_fxns/compute_behavior.py",31   "sha256": "d21b7ac2cf2a6a850451727199a14810ed0f9f0991e186e60b726f83bfab7984",32   "language": "Python",33   "lines": 366,34   "truncated": false,35   "block": 3,36   "row": 2535637  },38  {39   "path": "functions/general_fxns/compute_stats.py",40   "sha256": "927d68ca6a3506e79344bffdbcb0538a2903333e27fde2429cc69531f8588e50",41   "language": "Python",42   "lines": 197,43   "truncated": false,44   "block": 3,45   "row": 2261846  },47  {48   "path": "functions/general_fxns/get_trial_inds.py",49   "sha256": "72b0cbb4cfd39cc818482d93882e91c1c6e17533fab9d80f43ece74fd28708d3",50   "language": "Python",51   "lines": 77,52   "truncated": false,53   "block": 3,54   "row": 2078755  },56  {57   "path": "functions/general_fxns/process_hdf.py",58   "sha256": "df26d87ce918b1635e270a21790da9d6b5d7a7625bcbd8fa5f6b4f399303036f",59   "language": "Python",60   "lines": 206,61   "truncated": false,62   "block": 3,63   "row": 2359464  },65  {66   "path": "functions/neural_fxns/factor_analysis_fxns.py",67   "sha256": "420dfc8260aa27f54fe1336b1a82bec9178eadaa08d647a404b3df12d239b9c7",68   "language": "Python",69   "lines": 152,70   "truncated": false,71   "block": 3,72   "row": 2329273  },74  {75   "path": "functions/neural_fxns/shared_space_alignment_fxns.py",76   "sha256": "e5ab6879be6a92245ee108f9b21b5c7102f26c9ef965a694ac306ff7b2156950",77   "language": "Python",78   "lines": 34,79   "truncated": false,80   "block": 3,81   "row": 1880082  },83  {84   "path": "functions/neural_fxns/tuning_curve_fxns.py",85   "sha256": "89a56388f40033050d2a40eca5c43b8f1ef5cdc8ca6de59bea978b3071416129",86   "language": "Python",87   "lines": 96,88   "truncated": false,89   "block": 3,90   "row": 2013091  },92  {93   "path": "main.py",94   "sha256": "5782b04d3fd0414c799ca3224294b0a4c695aaa6b559460d650a82dc4a743b1d",95   "language": "Python",96   "lines": 139,97   "truncated": false,98   "block": 3,99   "row": 21073100  },101  {102   "path": "plot_and_compute_stats/paper1/figure3_behavior.py",103   "sha256": "cf2fd12464718c76cbaee3edac532d14b87786f6fab69b27479d75e5001b48b2",104   "language": "Python",105   "lines": 1197,106   "truncated": false,107   "block": 3,108   "row": 27781109  },110  {111   "path": "plot_and_compute_stats/paper1/figure4-5_neural.py",112   "sha256": "e49e82fc2c9292513d2f1ce91a7663b341320eecd3c81a43c2f257450f02955d",113   "language": "Python",114   "lines": 966,115   "truncated": false,116   "block": 3,117   "row": 27532118  },119  {120   "path": "plot_and_compute_stats/paper1/figure6_relationship.py",121   "sha256": "7a922d4e7e5cf424036e08bd2216c6ce443a9d54f1955176f2da24715a5342fc",122   "language": "Python",123   "lines": 614,124   "truncated": false,125   "block": 3,126   "row": 26625127  },128  {129   "path": "plot_and_compute_stats/paper1/figure7.py",130   "sha256": "b216509e89c68701585b67f807dd853a5d6cc68cede566cd89250bf7d3c339e5",131   "language": "Python",132   "lines": 1186,133   "truncated": false,134   "block": 3,135   "row": 27744136  },137  {138   "path": "plot_and_compute_stats/paper2/SUPPLEMENTAL_1_session-average_dPD.py",139   "sha256": "78217e88e378d474122ce6ca9e6c9d038046d9633415ffcbfbf97a652e4c0f04",140   "language": "Python",141   "lines": 275,142   "truncated": false,143   "block": 3,144   "row": 24716145  },146  {147   "path": "plot_and_compute_stats/paper2/figure2_example_cursor_trajectories.py",148   "sha256": "0a07bb871950df0e8043fb79c6a6e45790928ac532c2fe65873d5a8e7bcfba29",149   "language": "Python",150   "lines": 220,151   "truncated": false,152   "block": 3,153   "row": 24195154  },155  {156   "path": "plot_and_compute_stats/paper2/figure3_behavior.py",157   "sha256": "a1d6b98fd1816e094d1e401cef6d7ac02127fdb9f4948b5c3f60625015c4601e",158   "language": "Python",159   "lines": 617,160   "truncated": false,161   "block": 3,162   "row": 26995163  },164  {165   "path": "plot_and_compute_stats/paper2/figure4A-B_dPD_example.py",166   "sha256": "028cc15ddeccab9f1f671a176ed1d9eda7294c42311bb05ede0dc39296b214f2",167   "language": "Python",168   "lines": 317,169   "truncated": false,170   "block": 3,171   "row": 25090172  },173  {174   "path": "plot_and_compute_stats/paper2/figure4C-D_dPD_all.py",175   "sha256": "7fa4f06e6e470bdf865074f06b71a7a6a6bb67d20c376b79ebc52ec40fb8d548",176   "language": "Python",177   "lines": 284,178   "truncated": false,179   "block": 3,180   "row": 24618181  },182  {183   "path": "plot_and_compute_stats/paper2/figure5_dPD_individual_shuffleEXTENDED.py",184   "sha256": "131a1cf62c37460c2bd7a59caa1a8b939bec7e1d1cdbedc0ab193219bae957f8",185   "language": "Python",186   "lines": 237,187   "truncated": false,188   "block": 3,189   "row": 23877190  },191  {192   "path": "plot_and_compute_stats/paper2/figure6_MD.py",193   "sha256": "aad9fa866741041ca8db0f9d65af2f1328d89f1ac6519f61d1368617465462d6",194   "language": "Python",195   "lines": 599,196   "truncated": false,197   "block": 3,198   "row": 26917199  },200  {201   "path": "plot_and_compute_stats/paper2/figure7AC_ROTATION.py",202   "sha256": "ced6ff89b007e705f24be1d06b906a2d949c68602f0c93ed48c34c3915b5ac4e",203   "language": "Python",204   "lines": 556,205   "truncated": false,206   "block": 3,207   "row": 26411208  },209  {210   "path": "plot_and_compute_stats/paper2/figure7BD_SHUFFLE.py",211   "sha256": "fd0d690f4cad50b12514f96cacea4d031aa894dc4f98f7aff95bbb33dcaa6f20",212   "language": "Python",213   "lines": 557,214   "truncated": false,215   "block": 3,216   "row": 26570217  },218  {219   "path": "plot_and_compute_stats/paper2/figure8_relationship.py",220   "sha256": "47d198c274602ff9076674b7c1ad1599dc0a9b452be3e35e4af6f0f6046e8451",221   "language": "Python",222   "lines": 667,223   "truncated": false,224   "block": 3,225   "row": 26953226  },227  {228   "path": "processing/FA/calcSSA.py",229   "sha256": "9c10bc4c786907b2fa315168432c5984446551d62da251fb25e7b78a8bbe2f61",230   "language": "Python",231   "lines": 140,232   "truncated": false,233   "block": 3,234   "row": 22184235  },236  {237   "path": "processing/FA/main_FA_TTT.py",238   "sha256": "3f94ac1cc9e9547cf6665de4659a42e33b31133753bc77d531ccd101246bbdf6",239   "language": "Python",240   "lines": 636,241   "truncated": false,242   "block": 3,243   "row": 27104244  },245  {246   "path": "processing/FA_tuning/main_FA_TTT_for_tuning.py",247   "sha256": "cf3299d93143b30cea0b0e0dcbb75af486f474c2a90c253947f2dba5781776c9",248   "language": "Python",249   "lines": 555,250   "truncated": false,251   "block": 3,252   "row": 27039253  },254  {255   "path": "processing/behavior/main_behavior.py",256   "sha256": "d0cff49f64ae039c2f4753491c71643a3c0328f799b153109b897c42de5b8533",257   "language": "Python",258   "lines": 106,259   "truncated": false,260   "block": 3,261   "row": 21233262  },263  {264   "path": "processing/initial/main_get_trial_inds.py",265   "sha256": "d30dd14532ce0e5ab06d80fc9527268d5d72ecfcff28189b96130f83bb584e6c",266   "language": "Python",267   "lines": 139,268   "truncated": false,269   "block": 3,270   "row": 22327271  },272  {273   "path": "processing/initial/main_process_hdf.py",274   "sha256": "513be39baf418a2253222a60d68efcdd81c2d9a678e66c1153970041dd8ad549",275   "language": "Python",276   "lines": 193,277   "truncated": false,278   "block": 3,279   "row": 24111280  },281  {282   "path": "processing/tuning/main_tuning_curve.py",283   "sha256": "3bd7c72c881c5e9dd89dff53212bd949a6181d0a7caa773d550eff9387aa1d60",284   "language": "Python",285   "lines": 426,286   "truncated": false,287   "block": 3,288   "row": 26638289  }290 ]291}