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__theislab__idtrack.json579 linesDownload Raw Back to 75
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/theislab/idtrack",4 "url": "https://github.com/theislab/idtrack",5 "host": "github.com",6 "commit": "d8514ab51a494842f4278e769c9538f103592c7a",7 "license": "BSD-3-Clause",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "595be9403db4f3469e2973cfb217eaea221f439334389d8e35a1e5bdb035bfae",14   "language": "License",15   "lines": 29,16   "truncated": false,17   "block": 6,18   "row": 198519  },20  {21   "path": "README.rst",22   "sha256": "e025a2e91d2a7d1c930eb64032f1f0d009e3e82a5110345ff508ae7fca49ab88",23   "language": "Text",24   "lines": 80,25   "truncated": false,26   "block": 8,27   "row": 1029328  },29  {30   "path": "docs/_notebooks/00_idtrack_overview.ipynb",31   "sha256": "06dd980cbcf0c937e46419c6f33c2c3a727c306b1cc892ac420b24282aed8595",32   "language": "Jupyter",33   "lines": 264,34   "truncated": false,35   "block": 6,36   "row": 19137  },38  {39   "path": "docs/_notebooks/01_installation_guide.ipynb",40   "sha256": "f4f9db20b33ef4d1d2155e01b0e7fc00ea06dd6d67b6ab5601bd08b834f17413",41   "language": "Jupyter",42   "lines": 187,43   "truncated": false,44   "block": 5,45   "row": 1719346  },47  {48   "path": "docs/_notebooks/02_prepare_new_external_yaml.ipynb",49   "sha256": "cb617d0e8c0e7683b5339d546bacd51d604b4a2ca7f6083aed5287bdd6925744",50   "language": "Jupyter",51   "lines": 627,52   "truncated": false,53   "block": 6,54   "row": 90555  },56  {57   "path": "docs/_notebooks/03_initialization_graph.ipynb",58   "sha256": "48cc737cf5940fb3d69737eee9526011652bca5d019976349955c4446dcb7df2",59   "language": "Jupyter",60   "lines": 289,61   "truncated": false,62   "block": 5,63   "row": 1768364  },65  {66   "path": "docs/_notebooks/04_api_deep_dive_human.ipynb",67   "sha256": "0f002b30a2e7d9ad4e4c89230a305eaf71b5ee2a16b82eeee8e32ac56931f85e",68   "language": "Jupyter",69   "lines": 307,70   "truncated": false,71   "block": 6,72   "row": 8373  },74  {75   "path": "docs/_notebooks/05_tutorial_harmonization.ipynb",76   "sha256": "97d179148ab452d3b5ca9cfe1494f85c9a1b7255594858ce5e1362d20294d0a5",77   "language": "Jupyter",78   "lines": 575,79   "truncated": false,80   "block": 6,81   "row": 82782  },83  {84   "path": "docs/_notebooks/06_tutorial_humanization_mouse_pig_to_human.ipynb",85   "sha256": "d960cc3fdad01e16d2ceb3eddd56f71ac42d327f79652878195f7e72310a5f70",86   "language": "Jupyter",87   "lines": 240,88   "truncated": false,89   "block": 5,90   "row": 1754391  },92  {93   "path": "docs/_notebooks/07_advanced_topics.ipynb",94   "sha256": "3744d02e4f888adfd691b41b7c8c0af448630f81f81fc92cdef707e24d7e2b3f",95   "language": "Jupyter",96   "lines": 431,97   "truncated": false,98   "block": 6,99   "row": 567100  },101  {102   "path": "docs/_notebooks/99_initialization_test.ipynb",103   "sha256": "1735ff618979954115d219191dda187b1a5503a25fa7268aaf432d02ca485507",104   "language": "Jupyter",105   "lines": 185,106   "truncated": false,107   "block": 5,108   "row": 17123109  },110  {111   "path": "docs/_notebooks/_notebook_utils.py",112   "sha256": "15f4063a2269943e4f2d1f12c177b6996cf4e4ee7666c5374c608d520ec2add7",113   "language": "Python",114   "lines": 381,115   "truncated": false,116   "block": 7,117   "row": 5574118  },119  {120   "path": "docs/conf.py",121   "sha256": "b8f41dbb6206b8ad9f889ed571d556e1522353a5fb82d3c47fd656fe5c8f12e6",122   "language": "Python",123   "lines": 215,124   "truncated": false,125   "block": 6,126   "row": 43942127  },128  {129   "path": "example_manual_running copy.ipynb",130   "sha256": "00d64f83ac8b2996337a70b1853570fc5e06e8d443b1f55c367fa7cc5f5178f2",131   "language": "Jupyter",132   "lines": 194,133   "truncated": false,134   "block": 5,135   "row": 16308136  },137  {138   "path": "idtrack/__init__.py",139   "sha256": "6df47033437975c0b5371f1ad06e092323b03784b9610976a52c52e557d21a29",140   "language": "Python",141   "lines": 51,142   "truncated": false,143   "block": 6,144   "row": 30429145  },146  {147   "path": "idtrack/__main__.py",148   "sha256": "59b36c86df0d710f075f8caea09729c1f1fbd24fe305dc0533f3b2b559a786d6",149   "language": "Python",150   "lines": 125,151   "truncated": false,152   "block": 6,153   "row": 38174154  },155  {156   "path": "idtrack/_api.py",157   "sha256": "c2d78804183f048c7130d59dc68b55227ce4bad5bcb107d267bef2bb72a8bc4a",158   "language": "Python",159   "lines": 697,160   "truncated": false,161   "block": 7,162   "row": 11521163  },164  {165   "path": "idtrack/_connection_bridge.py",166   "sha256": "d75c20f23b5b3cff3d92ac23912fc9b921a9bef88d5598314d58c86ca3b2377e",167   "language": "Python",168   "lines": 431,169   "truncated": false,170   "block": 7,171   "row": 7672172  },173  {174   "path": "idtrack/_database_manager.py",175   "sha256": "0ae46d6ad600ac10e1f24cb99fa1a858de0d8be776ae1f7f5f5e33a36da857c1",176   "language": "Python",177   "lines": 3045,178   "truncated": false,179   "block": 8,180   "row": 1154181  },182  {183   "path": "idtrack/_db.py",184   "sha256": "6091dd71b65a637785c5164de0de9cd98732e9492b631b89e57fd4ca6ff634ac",185   "language": "Python",186   "lines": 420,187   "truncated": false,188   "block": 7,189   "row": 6588190  },191  {192   "path": "idtrack/_external_databases.py",193   "sha256": "b442b8840b4470cb084220d25b0745e3c18f3c9c8b415d3a3869dd6b1ab3bb78",194   "language": "Python",195   "lines": 385,196   "truncated": false,197   "block": 7,198   "row": 8349199  },200  {201   "path": "idtrack/_external_mappers/__init__.py",202   "sha256": "25d2fcd76fb186f4c9ab8d1a3a454888bde32ced678d7f87f75d8e6ae29bf4dd",203   "language": "Python",204   "lines": 64,205   "truncated": false,206   "block": 6,207   "row": 31739208  },209  {210   "path": "idtrack/_external_mappers/_backend_gget.py",211   "sha256": "532385a72d9912a3ce117e2f0ea6498b5763a9579b7dc8a255315e6d5c4268c2",212   "language": "Python",213   "lines": 270,214   "truncated": false,215   "block": 7,216   "row": 1744217  },218  {219   "path": "idtrack/_external_mappers/_backend_gprofiler.py",220   "sha256": "627e6e9c31ae423032ebf2769b7c70a5730f529af979f34467950729ac7bc7c9",221   "language": "Python",222   "lines": 398,223   "truncated": false,224   "block": 7,225   "row": 5811226  },227  {228   "path": "idtrack/_external_mappers/_backend_mygene.py",229   "sha256": "e2158b3c1b4dae132cb680678618639a5d5a3cd0ecb40ed19b0ca93cb3ec5bf4",230   "language": "Python",231   "lines": 277,232   "truncated": false,233   "block": 7,234   "row": 2930235  },236  {237   "path": "idtrack/_external_mappers/_backend_pybiomart.py",238   "sha256": "6be54e2b334ddcef17e21b958e0a2d2f3c6d6697d2307c258942ad2f407662c3",239   "language": "Python",240   "lines": 519,241   "truncated": false,242   "block": 7,243   "row": 7396244  },245  {246   "path": "idtrack/_external_mappers/_constants.py",247   "sha256": "efa7377b8ac962e826618a4dcaf945b62cb321d9ec54471a2d0625b28118e52f",248   "language": "Python",249   "lines": 283,250   "truncated": false,251   "block": 7,252   "row": 1842253  },254  {255   "path": "idtrack/_external_mappers/_convert.py",256   "sha256": "1d9f81c7b7a489a880562ed02782794d33872fb562fce913f55a64e53d259f37",257   "language": "Python",258   "lines": 157,259   "truncated": false,260   "block": 6,261   "row": 42307262  },263  {264   "path": "idtrack/_external_mappers/_ortholog.py",265   "sha256": "81d5518d3d20cb9d49e2e18e78255cf26ce6f582b8b080165a9a0564f952a64d",266   "language": "Python",267   "lines": 663,268   "truncated": false,269   "block": 7,270   "row": 8994271  },272  {273   "path": "idtrack/_external_mappers/_utils.py",274   "sha256": "fc89773b9a867a770766795e3a56b8f6a097c8f7d6ed40fa0212410f54a46c6c",275   "language": "Python",276   "lines": 534,277   "truncated": false,278   "block": 7,279   "row": 6884280  },281  {282   "path": "idtrack/_graph_maker.py",283   "sha256": "b056857474bced0b14d5a84bb9ea67999bc26d9c020a6a019af3da929998cbec",284   "language": "Python",285   "lines": 1160,286   "truncated": false,287   "block": 8,288   "row": 584289  },290  {291   "path": "idtrack/_harmonize_features.py",292   "sha256": "91bcdbafb8fb55e221da21b41859b49f35596c322f9c7d65928fc5a49c1cdb39",293   "language": "Python",294   "lines": 1175,295   "truncated": false,296   "block": 8,297   "row": 626298  },299  {300   "path": "idtrack/_the_graph.py",301   "sha256": "4e119ead965051e69c49649e3ed067522ab3527e6447c7ed7675837989364bb2",302   "language": "Python",303   "lines": 1369,304   "truncated": false,305   "block": 8,306   "row": 769307  },308  {309   "path": "idtrack/_track.py",310   "sha256": "87666c338f0362fa9781dfff2f1300bdcd3ae3e8f0355b532fc9bd5fd1f725c7",311   "language": "Python",312   "lines": 2300,313   "truncated": false,314   "block": 8,315   "row": 1060316  },317  {318   "path": "idtrack/_track_tests.py",319   "sha256": "821a241bfee4f2cbf0a49a605b4c27468be6fe37a6f4a1e3dcac78b210b0a27b",320   "language": "Python",321   "lines": 1174,322   "truncated": false,323   "block": 8,324   "row": 445325  },326  {327   "path": "idtrack/_utils_hdf5.py",328   "sha256": "98a6f195de2647cb9cf3862a5c8d11c45937ea4c6176ea8e546131c3665b2b45",329   "language": "Python",330   "lines": 772,331   "truncated": false,332   "block": 7,333   "row": 11231334  },335  {336   "path": "idtrack/_verify_organism.py",337   "sha256": "b8a4ac83af70328b957949090c129908faed9d429cc13522d3ebf0de3d1b3624",338   "language": "Python",339   "lines": 200,340   "truncated": false,341   "block": 7,342   "row": 3468343  },344  {345   "path": "noxfile.py",346   "sha256": "c3e2d17fbd036d01dd8118764db29ddd6d2f53249d409a3cbbc914625c7c4b1f",347   "language": "Python",348   "lines": 329,349   "truncated": false,350   "block": 7,351   "row": 3177352  },353  {354   "path": "reproducibility/experiments/example_manual_running.ipynb",355   "sha256": "af1aa6390630977f0ee7f25f69d2fc0d1b9adc21896f4c3aabd11dfcbcb3ab4a",356   "language": "Jupyter",357   "lines": 342,358   "truncated": false,359   "block": 6,360   "row": 11361  },362  {363   "path": "reproducibility/experiments/experiment_cellranger_idtrack/Untitled.ipynb",364   "sha256": "d43afc42332155848bc0ab8bc17605830bd8bbe01f74a383cf8c298a44e5d50f",365   "language": "Jupyter",366   "lines": 10,367   "truncated": false,368   "block": 5,369   "row": 15976370  },371  {372   "path": "reproducibility/experiments/experiment_cellranger_idtrack/analysis copy.ipynb",373   "sha256": "655f9de49f0fc32abbd7c17c5a832012be7f80c1e4e3215b51bac1b54de730c1",374   "language": "Jupyter",375   "lines": 3325,376   "truncated": false,377   "block": 6,378   "row": 1282379  },380  {381   "path": "reproducibility/experiments/experiment_cellranger_idtrack/analysis.ipynb",382   "sha256": "604a72e0414b88499e5dc43fb2bef0cb0e02ed9393670e830b4db2ddc83341fd",383   "language": "Jupyter",384   "lines": 3158,385   "truncated": false,386   "block": 6,387   "row": 1280388  },389  {390   "path": "reproducibility/experiments/experiment_cellranger_idtrack/analysis_gold_standard_expression_consistency.ipynb",391   "sha256": "6e8c1dc94959622b410105ed1bf36e86f7e80202bcfdb84ff4970eeb91eb31c3",392   "language": "Jupyter",393   "lines": 557,394   "truncated": false,395   "block": 6,396   "row": 736397  },398  {399   "path": "reproducibility/experiments/experiment_cellranger_idtrack/analysis_gold_standard_fig4c.ipynb",400   "sha256": "5b2e8e261d98bd34270382c48b08a0d3151c34d8a214772980c4e2ebd008d633",401   "language": "Jupyter",402   "lines": 797,403   "truncated": false,404   "block": 6,405   "row": 1038406  },407  {408   "path": "reproducibility/experiments/experiment_cellranger_idtrack/create_data.ipynb",409   "sha256": "e68acd49351453270c2503e77af2d1533c88dac92d85d9f09aaacc25b8b8d786",410   "language": "Jupyter",411   "lines": 405,412   "truncated": false,413   "block": 6,414   "row": 261415  },416  {417   "path": "reproducibility/experiments/experiment_external_bridges/00_external_bridges_tradeoff.ipynb",418   "sha256": "8cc4c22992eef679c35bb950eb0320096de180fcb75cc745d8cfcf27e7ad11c5",419   "language": "Jupyter",420   "lines": 376,421   "truncated": false,422   "block": 6,423   "row": 266424  },425  {426   "path": "reproducibility/experiments/experiment_hlca/00_hlca_manuscript_table1_and_figures.ipynb",427   "sha256": "fbaeaf5e13d48811a689d17db2b9685da23cf67549e5df7a5592534a41a8c521",428   "language": "Jupyter",429   "lines": 1580,430   "truncated": false,431   "block": 6,432   "row": 1240433  },434  {435   "path": "reproducibility/experiments/experiment_identifier_drift/00_identifier_drift_case_studies.ipynb",436   "sha256": "98a2209e814cd976666306c66b5bdb93f7945e14e3cbd34144c4c464429661dc",437   "language": "Jupyter",438   "lines": 506,439   "truncated": false,440   "block": 6,441   "row": 584442  },443  {444   "path": "reproducibility/experiments/experiment_marketing_overview/00_marketing_overview_dashboard.ipynb",445   "sha256": "711369620bb6836c475accea3dccaf27416c24ed71cb9b7622660409f6044952",446   "language": "Jupyter",447   "lines": 194,448   "truncated": false,449   "block": 5,450   "row": 17466451  },452  {453   "path": "reproducibility/experiments/experiment_other_organisms/00_other_organisms_showcase.ipynb",454   "sha256": "7aac8290ba68e948c09f5ad0656490edf7ffd59bfe33c0f4f5e232a61ea30c49",455   "language": "Jupyter",456   "lines": 279,457   "truncated": false,458   "block": 5,459   "row": 17678460  },461  {462   "path": "reproducibility/experiments/experiment_other_organisms/01_other_organisms_deep_dive_time_axis.ipynb",463   "sha256": "beb1f94072f079faf096925e2c08cb2303a73b3a4fabfd5575604523a8ff11d9",464   "language": "Jupyter",465   "lines": 351,466   "truncated": false,467   "block": 6,468   "row": 282469  },470  {471   "path": "reproducibility/experiments/experiment_random_stress_tests/00_random_stress_tests_fig4ab.ipynb",472   "sha256": "62cd2b4ce48ab1026bf2504dda6c6e686803a2ca91ce980452d62ad12bd40077",473   "language": "Jupyter",474   "lines": 759,475   "truncated": false,476   "block": 6,477   "row": 946478  },479  {480   "path": "reproducibility/experiments/experiment_time_travel_matrix/00_build_time_travel_matrix_cache.ipynb",481   "sha256": "c2b9578deaff0bc3cb8c5bad60b34702e0d5ef698c2a64530cabeb2ee0143b3a",482   "language": "Jupyter",483   "lines": 291,484   "truncated": false,485   "block": 6,486   "row": 17487  },488  {489   "path": "reproducibility/experiments/experiment_time_travel_matrix/01_analyze_time_travel_matrix.ipynb",490   "sha256": "e3bfdc7cf2ae19d3a477b59cb8ef469dfdddc5182b577b785c5746a994baf13f",491   "language": "Jupyter",492   "lines": 654,493   "truncated": false,494   "block": 6,495   "row": 882496  },497  {498   "path": "reproducibility/experiments/experiment_time_travel_matrix/02_roundtrip_consistency.ipynb",499   "sha256": "0d12add6c51d0492de4af34de25af446753217c6f7696c2d49b2f6048f6812c6",500   "language": "Jupyter",501   "lines": 424,502   "truncated": false,503   "block": 6,504   "row": 452505  },506  {507   "path": "reproducibility/experiments/experiment_time_travel_vs_external_mappers/00_build_time_travel_vs_external_mappers_cache.ipynb",508   "sha256": "c4395bd5c552aae4a5446c30833c6d773c4ca138029602d5c5fec2eeb34abbaa",509   "language": "Jupyter",510   "lines": 466,511   "truncated": false,512   "block": 6,513   "row": 663514  },515  {516   "path": "reproducibility/experiments/experiment_time_travel_vs_external_mappers/01_analyze_time_travel_vs_external_mappers.ipynb",517   "sha256": "96ef001616a51331f3333a3dc048b6ed24bc4ad0dc102b02c2a485fe28328485",518   "language": "Jupyter",519   "lines": 478,520   "truncated": false,521   "block": 6,522   "row": 713523  },524  {525   "path": "reproducibility/experiments/experiment_time_travel_vs_external_mappers/02_case_studies_external_mapper_failures.ipynb",526   "sha256": "4017f17bc1ac8729fa8ec738aa166bfc2ab2eadba27b17f659e2e0ca49097d36",527   "language": "Jupyter",528   "lines": 388,529   "truncated": false,530   "block": 6,531   "row": 362532  },533  {534   "path": "reproducibility/experiments/experiment_tool_comparison/00_tool_comparison_capability_matrix_fig4d.ipynb",535   "sha256": "be56a8f2dbc088ca0cfb15f9ae47781ce299befc283d90982933ce501b44dc3a",536   "language": "Jupyter",537   "lines": 561,538   "truncated": false,539   "block": 6,540   "row": 787541  },542  {543   "path": "reproducibility/experiments/experiment_tool_comparison/01_external_mapper_variability_deep_dive.ipynb",544   "sha256": "a5cdf59eeb857015754476284286229f645eeccad489f57572ae44747cd0c2ef",545   "language": "Jupyter",546   "lines": 606,547   "truncated": false,548   "block": 6,549   "row": 831550  },551  {552   "path": "reproducibility/experiments/experiment_tool_comparison/02_pybiomart_release_sensitivity.ipynb",553   "sha256": "94595ab9b1b656dd00cd3a7fa145f188a961091fe9fd8cb555ce4510b678cc3c",554   "language": "Jupyter",555   "lines": 375,556   "truncated": false,557   "block": 6,558   "row": 277559  },560  {561   "path": "reproducibility/experiments/figure_rcparams/rcparams.ipynb",562   "sha256": "0b59df29e19f02c95fd0bf69a9b0a6baaa9abc868d43908a4db51a24a64520f9",563   "language": "Jupyter",564   "lines": 26,565   "truncated": false,566   "block": 5,567   "row": 15987568  },569  {570   "path": "reproducibility/experiments/prev/example_manual_running.ipynb",571   "sha256": "e9a37c6fc08c6026bef04f444a3d388a711d4b00ecf3276f2b57b97727778572",572   "language": "Jupyter",573   "lines": 287,574   "truncated": false,575   "block": 5,576   "row": 17523577  }578 ]579}