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__xiangjiph__networkflowtracker.json
github.com__xiangjiph__networkflowtracker.json309 linesDownload Raw Back to d2
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/xiangjiph/networkflowtracker",4 "url": "https://github.com/xiangjiph/NetworkFlowTracker",5 "host": "github.com",6 "commit": "6ff6f5d08c603b30dfeda80a568cfe54785cb87d",7 "license": "BSD-3-Clause",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11  {12   "path": "LICENSE",13   "sha256": "c148ea10b244dfcfaf5efc8bdac6e81ae3b1323cce131422b51110a1fb7daba3",14   "language": "License",15   "lines": 29,16   "truncated": false,17   "block": 11,18   "row": 1434719  },20  {21   "path": "Notebooks/Step_0_raw_data_preprocessing.ipynb",22   "sha256": "cc3763e29f00320ec8ebd2718920580288eccf2d97e568e72d1bc8690f057c85",23   "language": "Jupyter",24   "lines": 306,25   "truncated": false,26   "block": 11,27   "row": 1323228  },29  {30   "path": "Notebooks/Step_1_cell_detection.ipynb",31   "sha256": "bf04d845d8f9500a3a4ab43491bb1e86038126530c2f8a1a784fa7d30ec1b297",32   "language": "Jupyter",33   "lines": 263,34   "truncated": false,35   "block": 11,36   "row": 1306437  },38  {39   "path": "Notebooks/Step_2_tracking.ipynb",40   "sha256": "3dcf42988405fd1d758f1956f07c0b29cbc3dd902839a52e49f503a8f065e76a",41   "language": "Jupyter",42   "lines": 304,43   "truncated": false,44   "block": 11,45   "row": 1327746  },47  {48   "path": "Notebooks/Step_3_analysis_single_layer_stats.ipynb",49   "sha256": "4622ec94447583edc9a06803eabb35d4e03ad42fb79a1fdb6e030bd6e2fcc6c0",50   "language": "Jupyter",51   "lines": 946,52   "truncated": false,53   "block": 11,54   "row": 1377755  },56  {57   "path": "Notebooks/Step_4_analysis_combined_layer_stats.ipynb",58   "sha256": "80014a97e02246638e34b1c6dc01cce96f466b3b7fafc591e08320e2d177c156",59   "language": "Jupyter",60   "lines": 848,61   "truncated": false,62   "block": 11,63   "row": 1373164  },65  {66   "path": "Notebooks/Supplement_analyze_tracking_algorithm_performance_simulation.ipynb",67   "sha256": "fa1e04b7f73babd74fae2870584de54796b18ec37a6c41ba8634d197a3bba262",68   "language": "Jupyter",69   "lines": 508,70   "truncated": false,71   "block": 11,72   "row": 1356673  },74  {75   "path": "Notebooks/Supplement_analyze_tracking_algorithm_performance_tube.ipynb",76   "sha256": "42273a66a9356882e019a37143fbee2a02d12eeb16f4318ab3562e3792497cdb",77   "language": "Jupyter",78   "lines": 824,79   "truncated": false,80   "block": 11,81   "row": 1371482  },83  {84   "path": "Notebooks/Supplement_simulation_particle_spacing.ipynb",85   "sha256": "4db75fbc3eccfc6254c10d980f5f8ec294e681983fd89c692550774e6b7fda4d",86   "language": "Jupyter",87   "lines": 252,88   "truncated": false,89   "block": 11,90   "row": 1306591  },92  {93   "path": "Notebooks/Supplement_visualization_methods.ipynb",94   "sha256": "2a6bcf31a55165c312ca7e5bc75ed3cfbb8909cb07ff7ec40984da8155434564",95   "language": "Jupyter",96   "lines": 302,97   "truncated": false,98   "block": 11,99   "row": 13199100  },101  {102   "path": "README.MD",103   "sha256": "cea57ff79609b7ca35ce7e17534e18ea451f59da6e83aab17a7a2da34f5b4790",104   "language": "Text",105   "lines": 38,106   "truncated": false,107   "block": 13,108   "row": 6280109  },110  {111   "path": "Segmentation/LFProcessing.m",112   "sha256": "05bb04ce0b259b8d20fc328e711101fed05ba1bf041d1298c5272ee7468c5462",113   "language": "MATLAB",114   "lines": 40,115   "truncated": false,116   "block": 11,117   "row": 17951118  },119  {120   "path": "Segmentation/Segmentation_annotation.m",121   "sha256": "018bba24220a6238074d14c096877b9688d8d545e86eb9592d1a916881c491c0",122   "language": "MATLAB",123   "lines": 121,124   "truncated": false,125   "block": 11,126   "row": 22685127  },128  {129   "path": "Segmentation/Segmentation_auto.m",130   "sha256": "27aa88375f044e3d7462b3624760f1fa7e59e0bb7a7c004538aab8b142509604",131   "language": "MATLAB",132   "lines": 108,133   "truncated": false,134   "block": 11,135   "row": 22540136  },137  {138   "path": "Segmentation/Stitch_segmentation.m",139   "sha256": "7f5420eef498b00a8f66ee015cf96ec8ece1aa5f1fcc4a77c57f3ead377442b7",140   "language": "MATLAB",141   "lines": 279,142   "truncated": false,143   "block": 12,144   "row": 1214145  },146  {147   "path": "src/network_flow_tracker/EdgeFlow.py",148   "sha256": "b546ae0d42e1903b87aa4cf65c6ec2051a1690cc3851dfccd23b21c7fa83cca8",149   "language": "Python",150   "lines": 1265,151   "truncated": false,152   "block": 13,153   "row": 451154  },155  {156   "path": "src/network_flow_tracker/FlowGraph.py",157   "sha256": "c7c6a7224fbe8409016b4d2838b596fab70f1cc7f8e9401e7345cc50864fd18b",158   "language": "Python",159   "lines": 1155,160   "truncated": false,161   "block": 13,162   "row": 418163  },164  {165   "path": "src/network_flow_tracker/LFBFP.py",166   "sha256": "33965f0ba8b1565ad5381c8d8a891c40ae016994d53edd6008411c86b844cafa",167   "language": "Python",168   "lines": 687,169   "truncated": false,170   "block": 12,171   "row": 22258172  },173  {174   "path": "src/network_flow_tracker/analysis.py",175   "sha256": "f1e78876d3f56219fdc209624c1553894d8b370e0a5fc5c453c9210c6b80258e",176   "language": "Python",177   "lines": 1041,178   "truncated": false,179   "block": 13,180   "row": 256181  },182  {183   "path": "src/network_flow_tracker/evaluation.py",184   "sha256": "adf10c35ac7d31628595452a27bc50922ddc9122c6deb463a66a42d743be91a3",185   "language": "Python",186   "lines": 354,187   "truncated": false,188   "block": 12,189   "row": 20535190  },191  {192   "path": "src/network_flow_tracker/linking.py",193   "sha256": "8ae2a2658b8d56b1273bb241c4ad2b5a005d12d81942ed8abf23a1b26f0f79d1",194   "language": "Python",195   "lines": 990,196   "truncated": false,197   "block": 13,198   "row": 265199  },200  {201   "path": "src/network_flow_tracker/particle.py",202   "sha256": "d40d39cd0fcebd3cfe29e3899f67bc13183fa6e139157d2e8a8b2bcaabff7b02",203   "language": "Python",204   "lines": 561,205   "truncated": false,206   "block": 12,207   "row": 21039208  },209  {210   "path": "src/network_flow_tracker/simulation.py",211   "sha256": "74e7504b7b5b21cbc3cadcd4de6c65dc242a79035e7111f609eb75ba06708395",212   "language": "Python",213   "lines": 258,214   "truncated": false,215   "block": 12,216   "row": 16659217  },218  {219   "path": "src/network_flow_tracker/utils/filters.py",220   "sha256": "e56fabba3e473e04e3e30a1f32a29fc582f3d27df66fb30428e3045481480511",221   "language": "Python",222   "lines": 50,223   "truncated": false,224   "block": 12,225   "row": 7147226  },227  {228   "path": "src/network_flow_tracker/utils/graph.py",229   "sha256": "f9883e40ac56340ac3b642d92d986bd941e64cdead77347530e87056c442a50f",230   "language": "Python",231   "lines": 1637,232   "truncated": false,233   "block": 13,234   "row": 519235  },236  {237   "path": "src/network_flow_tracker/utils/image.py",238   "sha256": "6814d4137987fa64665cf807ab7070849c9accb0abf730a20f8e7805bb1cfc7a",239   "language": "Python",240   "lines": 113,241   "truncated": false,242   "block": 12,243   "row": 12284244  },245  {246   "path": "src/network_flow_tracker/utils/io.py",247   "sha256": "05a0914e7c3de4e22f88821212ef8f9ab491ee921c545901fa43da4ca74bfe06",248   "language": "Python",249   "lines": 525,250   "truncated": false,251   "block": 12,252   "row": 20478253  },254  {255   "path": "src/network_flow_tracker/utils/neighbors.py",256   "sha256": "674a0b1f750994f66f1db16afc1f388133a3ad800eb41206419d000d409b5aa8",257   "language": "Python",258   "lines": 224,259   "truncated": false,260   "block": 12,261   "row": 17106262  },263  {264   "path": "src/network_flow_tracker/utils/registration.py",265   "sha256": "b8a2b0ed2bd7ed871e56158d91dfb77bddb26fde35fa82aaa7842f105a2d852c",266   "language": "Python",267   "lines": 41,268   "truncated": false,269   "block": 12,270   "row": 7289271  },272  {273   "path": "src/network_flow_tracker/utils/stat.py",274   "sha256": "4f9e9a57d850b35bf4cc1a2111400dde71390777a1222c4594b2e7cb7eecb7ca",275   "language": "Python",276   "lines": 346,277   "truncated": false,278   "block": 12,279   "row": 19136280  },281  {282   "path": "src/network_flow_tracker/utils/util.py",283   "sha256": "c9bd9ba9413b1b60c81e15abcd0a0835678c8b23154851fe9c23529a5841e82b",284   "language": "Python",285   "lines": 210,286   "truncated": false,287   "block": 12,288   "row": 16244289  },290  {291   "path": "src/network_flow_tracker/utils/vis.py",292   "sha256": "bb298b476e07e18fea3d6eafda951c766c54e8cc87bf9b399691fe798645d058",293   "language": "Python",294   "lines": 400,295   "truncated": false,296   "block": 12,297   "row": 20315298  },299  {300   "path": "src/network_flow_tracker/visualization.py",301   "sha256": "0360da7688c3381855acd898a438d446af2d864f5d37099fd5cad60cde1834cb",302   "language": "Python",303   "lines": 223,304   "truncated": false,305   "block": 12,306   "row": 17961307  }308 ]309}