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.
05.6k
1{2 "format": "oscr-script-manifest/1",3 "repository": "github.com/kullmannlab/pyecog2",4 "url": "https://github.com/KullmannLab/pyecog2",5 "host": "github.com",6 "commit": "01999410e87c53f41c8b7d9d5ade0e70722dd057",7 "license": "GPL-3.0",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11 {12 "path": "LICENSE",13 "sha256": "3972dc9744f6499f0f9b2dbf76696f2ae7ad8af9b23dde66d6af86c9dfb36986",14 "language": "License",15 "lines": 674,16 "truncated": false,17 "block": 1,18 "row": 223519 },20 {21 "path": "LinuxInstall.sh",22 "sha256": "4684324d15858229a5dce1813d84141ef30361ac5a1612c821d64ab227342aa0",23 "language": "Shell",24 "lines": 2,25 "truncated": false,26 "block": 8,27 "row": 648428 },29 {30 "path": "LinuxLaunch.sh",31 "sha256": "5793d6b9f6b008a9f2090ac628f4a25b36e1a13a97535e8009a53a166821cf67",32 "language": "Shell",33 "lines": 2,34 "truncated": false,35 "block": 8,36 "row": 646937 },38 {39 "path": "Notebooks/Classifier Tests Multi animal.ipynb",40 "sha256": "b396c345b00c4ceb00c5ee70aedb9977c861b8f76ac7d524da53866859209125",41 "language": "Jupyter",42 "lines": 1482,43 "truncated": false,44 "block": 6,45 "row": 110546 },47 {48 "path": "Notebooks/Classifier Tests Original.ipynb",49 "sha256": "2312fccf18419173df5565e104051449eebeb08cdaff104f48090db24a33f870",50 "language": "Jupyter",51 "lines": 521,52 "truncated": false,53 "block": 6,54 "row": 28555 },56 {57 "path": "Notebooks/ClassifierCV.ipynb",58 "sha256": "4c6e8ba00b7a829424a0219c5e47a4d61e72075bf2de8cbb9e8b5ee09c12240e",59 "language": "Jupyter",60 "lines": 102,61 "truncated": false,62 "block": 5,63 "row": 1633764 },65 {66 "path": "Notebooks/Data Report.ipynb",67 "sha256": "dac23cbb1381d984ea69c6c03ce20a5dc4dd16bdc94d21c9bc7ed7579bc307e4",68 "language": "Jupyter",69 "lines": 371,70 "truncated": false,71 "block": 6,72 "row": 19473 },74 {75 "path": "Notebooks/Demo file creation 1.ipynb",76 "sha256": "ce76eb86744307e5b4151eb12a149076c238fdccb44c5e3f8ee7b9df61041fd3",77 "language": "Jupyter",78 "lines": 71,79 "truncated": false,80 "block": 5,81 "row": 1615782 },83 {84 "path": "Notebooks/Demo file creation.ipynb",85 "sha256": "3512178f4eb3a4a2de694771e6096d880601780f24eaf17cc711d216238d10f2",86 "language": "Jupyter",87 "lines": 142,88 "truncated": false,89 "block": 5,90 "row": 1669891 },92 {93 "path": "Notebooks/FeatureExtractor tests.ipynb",94 "sha256": "f41c550d0f38cad98970be5062de5128075434377d7bf5fcb8b5f5f5da6e1ea2",95 "language": "Jupyter",96 "lines": 665,97 "truncated": false,98 "block": 6,99 "row": 498100 },101 {102 "path": "Notebooks/License test.ipynb",103 "sha256": "2090d771a7fa5d5c75c44ab978c08d0dcae942a2c7cb7d6a771ae7108cc82667",104 "language": "Jupyter",105 "lines": 140,106 "truncated": false,107 "block": 5,108 "row": 17443109 },110 {111 "path": "Notebooks/Memap and demo file creation 1.ipynb",112 "sha256": "6fa0671cb054d94622fc07668c4c8e04f0f237442eff038b408ef496461756fc",113 "language": "Jupyter",114 "lines": 149,115 "truncated": false,116 "block": 5,117 "row": 16531118 },119 {120 "path": "Notebooks/Multithreading examples.ipynb",121 "sha256": "b1c599fe5c6ee148c2dd6cb8931134a1a6a15d579efc707c86cf0249aeae4415",122 "language": "Jupyter",123 "lines": 268,124 "truncated": false,125 "block": 5,126 "row": 17153127 },128 {129 "path": "Notebooks/Testing for gui 1.ipynb",130 "sha256": "fa8202e15f6fde32df3183219fc91d367eca268cbb7351340bcf404e10d916a6",131 "language": "Jupyter",132 "lines": 118,133 "truncated": false,134 "block": 5,135 "row": 16194136 },137 {138 "path": "Notebooks/Tests for annotations.ipynb",139 "sha256": "7bfbef725edd509c5bb252787c15e0f17b10a8028e621246c7222c22fad516ec",140 "language": "Jupyter",141 "lines": 842,142 "truncated": false,143 "block": 6,144 "row": 731145 },146 {147 "path": "Notebooks/copy ndf fiels.ipynb",148 "sha256": "ddfb6286081a573fd28141b6f81f8782b4fed9b723672a8b3ed17cdda8835604",149 "language": "Jupyter",150 "lines": 53,151 "truncated": false,152 "block": 5,153 "row": 16101154 },155 {156 "path": "Notebooks/overlap add and overlap save tests.ipynb",157 "sha256": "f4fb9eb7d85ad34995b6c1422c6c8e50d4217330a2c73044e8315d03d3cf6439",158 "language": "Jupyter",159 "lines": 193,160 "truncated": false,161 "block": 5,162 "row": 16994163 },164 {165 "path": "README.md",166 "sha256": "e850bea408a9d0c34fcfa13caf097f24ea869e848063d89ace9bd52f8d4b1491",167 "language": "Text",168 "lines": 29,169 "truncated": false,170 "block": 8,171 "row": 9661172 },173 {174 "path": "UnitTestFiles/1.py",175 "sha256": "06dd5b1000199c6faf6578bc01d53829d013653b0ae1c58e49994c52cb5e046c",176 "language": "Python",177 "lines": 10,178 "truncated": false,179 "block": 6,180 "row": 21146181 },182 {183 "path": "pyecog2/ProjectClass.py",184 "sha256": "e1c61ad576899a0c24fd2a8487ad42d1c1ea0e40371e2d83044ec17cf88c1de3",185 "language": "Python",186 "lines": 715,187 "truncated": false,188 "block": 7,189 "row": 11181190 },191 {192 "path": "pyecog2/__main__.py",193 "sha256": "26bb44ec6f9e93b8e1a950ed51662ba56038bda4552977d8bd4c2a59476c0e13",194 "language": "Python",195 "lines": 2,196 "truncated": false,197 "block": 6,198 "row": 20296199 },200 {201 "path": "pyecog2/annotation_table_widget.py",202 "sha256": "2e16df1dc694a0eb797a58c7341b5ea3a17fffdfe34b92dc4c3a0880b9fa3590",203 "language": "Python",204 "lines": 625,205 "truncated": false,206 "block": 7,207 "row": 9944208 },209 {210 "path": "pyecog2/annotations_module.py",211 "sha256": "7fff2c3babe54f34fb6a7573506ed73ee856f4bd0e5df3d56e4a178c3eb2fabc",212 "language": "Python",213 "lines": 420,214 "truncated": false,215 "block": 7,216 "row": 7850217 },218 {219 "path": "pyecog2/classifier.py",220 "sha256": "ab1f0ab0e3dfd8bdf7427fcfe403bd8a6f8a548ed7f5d3f6a36abdaa7e8a5163",221 "language": "Python",222 "lines": 554,223 "truncated": false,224 "block": 7,225 "row": 10526226 },227 {228 "path": "pyecog2/coding_tests/ParameterTreeExample.py",229 "sha256": "82aeca0df2df4982b942c0c72f18289bebaab7676fbe9c7b6f84e6ada64f69c7",230 "language": "Python",231 "lines": 177,232 "truncated": false,233 "block": 6,234 "row": 44952235 },236 {237 "path": "pyecog2/coding_tests/ParameterTreeTest.py",238 "sha256": "cbdbc6904aa6ca4cc61cc58361edd84b3350e1ec2aeb24e46c09c289a98aa35b",239 "language": "Python",240 "lines": 109,241 "truncated": false,242 "block": 6,243 "row": 40167244 },245 {246 "path": "pyecog2/coding_tests/ParameterTreeTest2.py",247 "sha256": "98e82aeed6e3c4892ebf481cd552476d47d6c7e6d269cc3469f77850ed4125da",248 "language": "Python",249 "lines": 121,250 "truncated": false,251 "block": 6,252 "row": 38220253 },254 {255 "path": "pyecog2/coding_tests/ProgressBarTests.py",256 "sha256": "26a12905aa8e0fb163f79755b4a9b344211bd8c601af7bed4106d8d25a9c74c5",257 "language": "Python",258 "lines": 36,259 "truncated": false,260 "block": 6,261 "row": 24883262 },263 {264 "path": "pyecog2/coding_tests/PySide_Test.py",265 "sha256": "70c25ffebc8e5c0e0c6a7748b3ab8d4d48ff8903d606cbd366f7b17ab6df62aa",266 "language": "Python",267 "lines": 22,268 "truncated": false,269 "block": 6,270 "row": 24037271 },272 {273 "path": "pyecog2/coding_tests/TableTests.py",274 "sha256": "2141547b6e5976caef201f8d3557c812c285a43a657e6daadc173c7c9aa3235a",275 "language": "Python",276 "lines": 63,277 "truncated": false,278 "block": 6,279 "row": 33240280 },281 {282 "path": "pyecog2/coding_tests/TableTests2.py",283 "sha256": "7d35fa98ae4a87016d12faff2bc712988811fe9caf3325f12ba2d9b9f24d37cc",284 "language": "Python",285 "lines": 30,286 "truncated": false,287 "block": 6,288 "row": 26755289 },290 {291 "path": "pyecog2/coding_tests/WPTacquisition.py",292 "sha256": "11be0df25fc47394850eaac8eb38e6326fd11353ac62e6890ce31c5902f10f57",293 "language": "Python",294 "lines": 176,295 "truncated": false,296 "block": 6,297 "row": 43751298 },299 {300 "path": "pyecog2/coding_tests/dock_tests.py",301 "sha256": "6d3954f93339fb19fd51a1873998ddbb0e46689d827d56c3b4efb89a175ab6f1",302 "language": "Python",303 "lines": 109,304 "truncated": false,305 "block": 6,306 "row": 37305307 },308 {309 "path": "pyecog2/coding_tests/logging_tests.py",310 "sha256": "80eafe3af9653c7ec76e82d17c13f415d3b1bf096bca8bce15db7d8197d1d2be",311 "language": "Python",312 "lines": 19,313 "truncated": false,314 "block": 6,315 "row": 22823316 },317 {318 "path": "pyecog2/coding_tests/logging_tests_submodule.py",319 "sha256": "f594f15d9461a89ad891131c10bbca03296624130e7380f45175f7d3774e1488",320 "language": "Python",321 "lines": 5,322 "truncated": false,323 "block": 6,324 "row": 20771325 },326 {327 "path": "pyecog2/coding_tests/pyqtgraph_examples.py",328 "sha256": "727051fbf583ea84771deb3c930f50c61e88aebf47e2368237db2f1e15203bb2",329 "language": "Python",330 "lines": 123,331 "truncated": false,332 "block": 6,333 "row": 38763334 },335 {336 "path": "pyecog2/coding_tests/save_settings.py",337 "sha256": "4dd840dde0ea2aa8f9d19d734fbcb864a8f0212eabd7deb8ad35ef94811edf6f",338 "language": "Python",339 "lines": 90,340 "truncated": false,341 "block": 6,342 "row": 36167343 },344 {345 "path": "pyecog2/coding_tests/testing_menu.py",346 "sha256": "fe4eca6d8523e3c71a1df04845ca8b11f6be4c0d07fc6bb7eedb18d84c12647c",347 "language": "Python",348 "lines": 32,349 "truncated": false,350 "block": 6,351 "row": 24776352 },353 {354 "path": "pyecog2/deprecated/adafruit_notofications.py",355 "sha256": "8f80ac65e69118d04e0b5f3de5bfd87f22895b93866a9078aa05c2bea71210ea",356 "language": "Python",357 "lines": 132,358 "truncated": false,359 "block": 6,360 "row": 41013361 },362 {363 "path": "pyecog2/deprecated/gui_main.py",364 "sha256": "e20330a25d546c19cd21f4ef3a8f0699ccc6fcec8667acbc061d75d8443da59b",365 "language": "Python",366 "lines": 129,367 "truncated": false,368 "block": 6,369 "row": 40584370 },371 {372 "path": "pyecog2/deprecated/old__forref_PyecogCurvePlotItem.py",373 "sha256": "bbe829c02feffc826aa20f55a049e26f44c7fad3db6403fca76046f1a7893918",374 "language": "Python",375 "lines": 268,376 "truncated": false,377 "block": 7,378 "row": 3060379 },380 {381 "path": "pyecog2/feature_extractor.py",382 "sha256": "94b5b1222e5e20f3c06c4d534625f01b47ebec737981e9a2df38389d12b45795",383 "language": "Python",384 "lines": 201,385 "truncated": false,386 "block": 7,387 "row": 3331388 },389 {390 "path": "pyecog2/h5loader.py",391 "sha256": "961c801de2d19baacadbb2b4e50b6d863137b45fdeaefa4216ece9fc789946a5",392 "language": "Python",393 "lines": 107,394 "truncated": false,395 "block": 6,396 "row": 38823397 },398 {399 "path": "pyecog2/hmm_pyecog.py",400 "sha256": "fca3c2784a5f5507d7f5f446cd4c92a6dce88e6c0af369876e8622356e13a68c",401 "language": "Python",402 "lines": 333,403 "truncated": false,404 "block": 7,405 "row": 5371406 },407 {408 "path": "pyecog2/license.py",409 "sha256": "54f2e600b25a47135bbe26a4d98d96274f189abf5da472f41f38691436d7b2b7",410 "language": "Python",411 "lines": 159,412 "truncated": false,413 "block": 7,414 "row": 1829415 },416 {417 "path": "pyecog2/logging_aux.py",418 "sha256": "4ced725f446f8bfa3b9202f8b050afcb2e28f2eea9818f61d5d2c6a05d16166a",419 "language": "Python",420 "lines": 24,421 "truncated": false,422 "block": 6,423 "row": 23636424 },425 {426 "path": "pyecog2/main.py",427 "sha256": "5d25d87ff9bfdb79818498e58be489c43b11308dfe51a57dd493442512a4b983",428 "language": "Python",429 "lines": 850,430 "truncated": false,431 "block": 7,432 "row": 11773433 },434 {435 "path": "pyecog2/ndf_converter.py",436 "sha256": "b8cc036cdfde11d613857175c8da5ed884496a199e4002ac4bf012cbbd0da389",437 "language": "Python",438 "lines": 761,439 "truncated": false,440 "block": 7,441 "row": 11151442 },443 {444 "path": "pyecog2/paired_graphics_view.py",445 "sha256": "0cb0919a841374d21dcc8800ae43e1a1e95c91c2cc6048803397086da14f829d",446 "language": "Python",447 "lines": 739,448 "truncated": false,449 "block": 7,450 "row": 11456451 },452 {453 "path": "pyecog2/pyecog_plot_item.py",454 "sha256": "c619ba690d039a6d3416cdc75b3a608e02a6916f6ecfa0468638313a84537150",455 "language": "Python",456 "lines": 509,457 "truncated": false,458 "block": 7,459 "row": 9361460 },461 {462 "path": "pyecog2/special_features.py",463 "sha256": "14f1d254590ac5c3a8fb43bb5960f402fd75ebb090eb6645c7f50c304f915d42",464 "language": "Python",465 "lines": 19,466 "truncated": false,467 "block": 6,468 "row": 23926469 },470 {471 "path": "pyecog2/spectrotools.py",472 "sha256": "7dae594fb20e927479b691de628c2dd1c8c56a82c2ec21edd6fb7845e5512f27",473 "language": "Python",474 "lines": 241,475 "truncated": false,476 "block": 7,477 "row": 2492478 },479 {480 "path": "pyecog2/tree_model_and_nodes.py",481 "sha256": "6ff3f28e6e912d7b75898e9e21f06157667b198f682df37ee0e1ba1f0837734b",482 "language": "Python",483 "lines": 431,484 "truncated": false,485 "block": 7,486 "row": 6561487 },488 {489 "path": "pyecog2/tree_widget.py",490 "sha256": "08f149f961c5eea4df59be99a31ad806ae392c4de94937d3881802ec45530a53",491 "language": "Python",492 "lines": 219,493 "truncated": false,494 "block": 7,495 "row": 1538496 },497 {498 "path": "pyecog2/ui_elements/AnnotationParameterTree.py",499 "sha256": "eff4ae4d8b7149548f5037d26c9f22252760afe9e966102b193296bf139bbcc6",500 "language": "Python",501 "lines": 188,502 "truncated": false,503 "block": 7,504 "row": 2371505 },506 {507 "path": "pyecog2/ui_elements/ClassifierGUI.py",508 "sha256": "e5d2c12ba62cd75dc9e75e43ae5509f3ec3eebfda684d694fe3fda8c90a7978a",509 "language": "Python",510 "lines": 410,511 "truncated": false,512 "block": 7,513 "row": 9046514 },515 {516 "path": "pyecog2/ui_elements/FFTWidget.py",517 "sha256": "d7d113cb775d5ba37c7869bb117f152c03b30a8320d4c1d57cfaeccd8e55253f",518 "language": "Python",519 "lines": 96,520 "truncated": false,521 "block": 6,522 "row": 39352523 },524 {525 "path": "pyecog2/ui_elements/FeatureExtractorGUI.py",526 "sha256": "ecc3eaee5536ebc30ad257944cf05dd99c994ddcfc4165edad4b53508a6e566d",527 "language": "Python",528 "lines": 251,529 "truncated": false,530 "block": 7,531 "row": 4108532 },533 {534 "path": "pyecog2/ui_elements/NDFConverterGUI.py",535 "sha256": "511a07a8dd049b6d85dba406b63252d8bb689107517bf9eff12682962f9e6486",536 "language": "Python",537 "lines": 270,538 "truncated": false,539 "block": 7,540 "row": 4687541 },542 {543 "path": "pyecog2/ui_elements/PlotControlsWidget.py",544 "sha256": "ee8a2ee985210ac83575ce4628b099067f7e5e721db05d22b15f6b35bbdea161",545 "language": "Python",546 "lines": 132,547 "truncated": false,548 "block": 6,549 "row": 41962550 },551 {552 "path": "pyecog2/ui_elements/ProjectGUI.py",553 "sha256": "7508be510ac0ba6ef2beb04bcd23273367c7cb4cf01497b4bc90a40562506755",554 "language": "Python",555 "lines": 247,556 "truncated": false,557 "block": 7,558 "row": 3361559 },560 {561 "path": "pyecog2/ui_elements/VideoPlayerWidget.py",562 "sha256": "860c2a6ca1e337ac15dd1a9255af473e74154485d9711d653a19c87794f30c70",563 "language": "Python",564 "lines": 254,565 "truncated": false,566 "block": 7,567 "row": 4600568 },569 {570 "path": "pyecog2/ui_elements/WaveletWidget.py",571 "sha256": "e3bceb43ff9f1ffbc8e25244feaf337e9b9d68ef91cba6220247c68fbfcd4cc3",572 "language": "Python",573 "lines": 489,574 "truncated": false,575 "block": 7,576 "row": 8959577 },578 {579 "path": "pyecog2/ui_elements/pyecogParameterTree.py",580 "sha256": "f19ccfb881fa230d5d5e283e28936b04923cc7c9e213a9ced8d7186fcddace4f",581 "language": "Python",582 "lines": 44,583 "truncated": false,584 "block": 6,585 "row": 32004586 },587 {588 "path": "setup.py",589 "sha256": "3978ccb60ac11fa686ee8b1b3ce2ca837ce20c34fb8342a905f51a68f59d605c",590 "language": "Python",591 "lines": 36,592 "truncated": false,593 "block": 6,594 "row": 27986595 }596 ]597}