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/kbonna/decidenet",4 "url": "https://github.com/kbonna/decidenet",5 "host": "github.com",6 "commit": "e0d63237383a71808d1e40103a86777fbad46076",7 "license": "MIT",8 "license_confirmed_by": "license file LICENCE.md",9 "redistribution": "yes",10 "files": [11 {12 "path": "LICENCE.md",13 "sha256": "29d4e05f9e07c38cc4bcda02eb317e29073ded487724f7e736158be778890b12",14 "language": "License",15 "lines": 7,16 "truncated": false,17 "block": 3,18 "row": 790719 },20 {21 "path": "README.md",22 "sha256": "51eab49a78cb09438597242c81c4048d5e85970135899fa5a9b5dfa6b2c134da",23 "language": "Text",24 "lines": 20,25 "truncated": false,26 "block": 4,27 "row": 238028 },29 {30 "path": "activation_analysis/dn_aa_00_calculate_modulations.ipynb",31 "sha256": "5fe28c6ce395c28f300abd0d07802f690592826bf7674ee2130b23f84bf3c53e",32 "language": "Jupyter",33 "lines": 83,34 "truncated": false,35 "block": 3,36 "row": 722637 },38 {39 "path": "activation_analysis/dn_aa_01_first_level.ipynb",40 "sha256": "3e688c3712fe014c55befec783542f9ead815acc91020eb6343ef786c1cf1ea6",41 "language": "Jupyter",42 "lines": 292,43 "truncated": false,44 "block": 3,45 "row": 762846 },47 {48 "path": "activation_analysis/dn_aa_02_exclusion.ipynb",49 "sha256": "1ca4b2aec1c87b33a256d5703777e13af4855983b831e3bab4e028b04be126ca",50 "language": "Jupyter",51 "lines": 131,52 "truncated": false,53 "block": 3,54 "row": 731355 },56 {57 "path": "activation_analysis/dn_aa_03_second_level.ipynb",58 "sha256": "ee80821647653cd47d66fc3a731ee6f0d293fd9d8f41c5773eabcd7fa1203afd",59 "language": "Jupyter",60 "lines": 152,61 "truncated": false,62 "block": 3,63 "row": 740364 },65 {66 "path": "activation_analysis/dn_aa_04_brain_atlases.ipynb",67 "sha256": "5c849d1c395aea3f138ccd0c777d21f965c61f14dfb0cde7e5f28fa847e06acb",68 "language": "Jupyter",69 "lines": 202,70 "truncated": false,71 "block": 3,72 "row": 743673 },74 {75 "path": "activation_analysis/dn_aa_05_results_reporting.ipynb",76 "sha256": "f2b20fff23779c3a31c5d41714ffcd4ef6055f3a4b438d2329098ebaab9f5696",77 "language": "Jupyter",78 "lines": 332,79 "truncated": false,80 "block": 3,81 "row": 758682 },83 {84 "path": "behavioral_analysis/db_ba_09_cognitive_load.ipynb",85 "sha256": "d03c02729c70b95944e702f06a0cf31e83c39bf2e7cbc5e822e556267c257a78",86 "language": "Jupyter",87 "lines": 70,88 "truncated": false,89 "block": 3,90 "row": 709891 },92 {93 "path": "behavioral_analysis/dn_ba_01_task_logs_validation.ipynb",94 "sha256": "7bd6722daa78638e2bb7140701724f890feba38bb10cdbd7144961a044bf830e",95 "language": "Jupyter",96 "lines": 137,97 "truncated": false,98 "block": 3,99 "row": 7338100 },101 {102 "path": "behavioral_analysis/dn_ba_02_task_logs_processing.ipynb",103 "sha256": "12e2bab1ab9660bb3c3711451496d23e8f3f1135a7b656df746cb579eb1b087f",104 "language": "Jupyter",105 "lines": 390,106 "truncated": false,107 "block": 3,108 "row": 7712109 },110 {111 "path": "behavioral_analysis/dn_ba_03_single_subject_model_fit.ipynb",112 "sha256": "837c3df15d941b30c334ccb27c97b9a5362e16a991b2c5089f4518e4658cea12",113 "language": "Jupyter",114 "lines": 248,115 "truncated": false,116 "block": 3,117 "row": 7519118 },119 {120 "path": "behavioral_analysis/dn_ba_04_behavioral_metrics.ipynb",121 "sha256": "99452049b5df40486fb27f5111e2faa03587b6b36e527a9dbc23e764a709a5d9",122 "language": "Jupyter",123 "lines": 175,124 "truncated": false,125 "block": 3,126 "row": 7432127 },128 {129 "path": "behavioral_analysis/dn_ba_05_model_exploration.ipynb",130 "sha256": "ea6ed5118490c9322194c15deb108e49e260ad51ea607a5e5457e28f480b17f1",131 "language": "Jupyter",132 "lines": 162,133 "truncated": false,134 "block": 3,135 "row": 7400136 },137 {138 "path": "behavioral_analysis/dn_ba_06_beta_distribution.ipynb",139 "sha256": "292dbd3fe8c5eecc6b7f92286d342be66adbd12008c0813a5eaacefba13d443f",140 "language": "Jupyter",141 "lines": 209,142 "truncated": false,143 "block": 3,144 "row": 7378145 },146 {147 "path": "behavioral_analysis/dn_ba_07_parameter_recovery.ipynb",148 "sha256": "232545117329ff505323399fd626575818a8e3551d7857add9cfa911a4e66eff",149 "language": "Jupyter",150 "lines": 269,151 "truncated": false,152 "block": 3,153 "row": 7583154 },155 {156 "path": "behavioral_analysis/dn_ba_08_task_figure.ipynb",157 "sha256": "d628d011a384acb854b53a8c158dbbf1b021422342f66c3a8cfa690a0d5ec067",158 "language": "Jupyter",159 "lines": 81,160 "truncated": false,161 "block": 3,162 "row": 7112163 },164 {165 "path": "behavioral_analysis/matjags-dn/dn_bm_01_convergence.ipynb",166 "sha256": "ace290fa33fdaf361f78062ceb3bb7e93e5f09a26f41824f96dc5754434d6d6e",167 "language": "Jupyter",168 "lines": 32,169 "truncated": false,170 "block": 3,171 "row": 7045172 },173 {174 "path": "behavioral_analysis/matjags-dn/dn_bm_02_model_selection.ipynb",175 "sha256": "a91144a0dd21fc8b89b92126f777031d51a265b5c624e917a2fbcf57b12c05fb",176 "language": "Jupyter",177 "lines": 214,178 "truncated": false,179 "block": 3,180 "row": 7488181 },182 {183 "path": "behavioral_analysis/matjags-dn/dn_bm_03_vba.m",184 "sha256": "91d490d79468ffdb44ca24c33fa8afdf254a313dd954451a1d335355a82748ad",185 "language": "MATLAB",186 "lines": 19,187 "truncated": false,188 "block": 3,189 "row": 9310190 },191 {192 "path": "behavioral_analysis/matjags-dn/dn_bm_04_parameter_estimation.ipynb",193 "sha256": "1c6f5f9bc72de44f0e2b33b3a771eeb86c8b5852f1b48f413d5b9919e6f82308",194 "language": "Jupyter",195 "lines": 131,196 "truncated": false,197 "block": 3,198 "row": 7292199 },200 {201 "path": "behavioral_analysis/matjags-dn/dn_bm_05_results_reporting.ipynb",202 "sha256": "2341b8e85d206030a0a1fc838f3dc9e1e4d97f9fa4b029e4954f6087db9c8dc2",203 "language": "Jupyter",204 "lines": 317,205 "truncated": false,206 "block": 3,207 "row": 7518208 },209 {210 "path": "behavioral_analysis/matjags-dn/functions/gen_logbf_barplot.m",211 "sha256": "ba789ee1a032abd47c5842b0fa78fa9aca788bd2d85d75c1996ee6fb6dd79dc0",212 "language": "MATLAB",213 "lines": 53,214 "truncated": false,215 "block": 3,216 "row": 10900217 },218 {219 "path": "behavioral_analysis/matjags-dn/functions/gen_pep_barplot.m",220 "sha256": "d2efe4ae21661ef772585bdb635f830bc662e49c802d0ccdcad07db86c864414",221 "language": "MATLAB",222 "lines": 29,223 "truncated": false,224 "block": 3,225 "row": 9180226 },227 {228 "path": "behavioral_analysis/matjags-dn/functions/my_num2str.m",229 "sha256": "fbffbe1635ab4b500a91edf587eabec1465cedbfd396336fa33cbef3a5d4f608",230 "language": "MATLAB",231 "lines": 11,232 "truncated": false,233 "block": 3,234 "row": 8655235 },236 {237 "path": "behavioral_analysis/matjags-dn/functions/print_rhats.m",238 "sha256": "314b0769e8b792c5daf40cbffabc85264abb17de5152742ff1dae850420387c2",239 "language": "MATLAB",240 "lines": 20,241 "truncated": false,242 "block": 3,243 "row": 9111244 },245 {246 "path": "behavioral_analysis/matjags-dn/functions/shuffle.m",247 "sha256": "73e6d1cf9c12b3b86cd0ad16875c1425abbfaaa5421320b30eef934d55b1c185",248 "language": "MATLAB",249 "lines": 3,250 "truncated": false,251 "block": 3,252 "row": 8194253 },254 {255 "path": "behavioral_analysis/matjags-dn/functions/tight_subplot.m",256 "sha256": "f2cf87bb103ca6c9a398c35aca85e73998b2c6efb2199d73c43d86a47917cd99",257 "language": "MATLAB",258 "lines": 58,259 "truncated": false,260 "block": 3,261 "row": 12098262 },263 {264 "path": "behavioral_analysis/matjags-dn/models/HLM_sequential_split.m",265 "sha256": "072e16c307feb1d9fdf44503864cd3e18d20770860652374338b8d985ee02745",266 "language": "MATLAB",267 "lines": 97,268 "truncated": false,269 "block": 3,270 "row": 14009271 },272 {273 "path": "behavioral_analysis/matjags-dn/models/H_pdci.m",274 "sha256": "bb814596b8c9cf6c5ef56b9d5a14950ccf5b8957c0b5e3d932e16f2b9192b35e",275 "language": "MATLAB",276 "lines": 89,277 "truncated": false,278 "block": 3,279 "row": 13677280 },281 {282 "path": "behavioral_analysis/matjags-dn/models/SS_pdci.m",283 "sha256": "a90b30236f2a0ecdadb0496e2870c6e547650e1a5081ab53ccbabcb9f906c88e",284 "language": "MATLAB",285 "lines": 125,286 "truncated": false,287 "block": 3,288 "row": 14831289 },290 {291 "path": "connectivity_analysis/bsc/dn_bs_00_extract_data_paths.ipynb",292 "sha256": "83b1457fdbce416bc0c2e61461ce7cac5b70219140d8b19c02a189b7a3180bd8",293 "language": "Jupyter",294 "lines": 79,295 "truncated": false,296 "block": 3,297 "row": 7139298 },299 {300 "path": "connectivity_analysis/bsc/dn_bs_01_betamaps_glm.ipynb",301 "sha256": "c80253650ab75867499bf3da9bc9df6e652831c21781a9bcbe869ff214a101b5",302 "language": "Jupyter",303 "lines": 207,304 "truncated": false,305 "block": 3,306 "row": 7527307 },308 {309 "path": "connectivity_analysis/bsc/dn_bs_02_betamaps_exploration.ipynb",310 "sha256": "1d0c2db7b5fe0d097e357aab7716734336378b7e14aefbeeebb49fcc243b4a1a",311 "language": "Jupyter",312 "lines": 175,313 "truncated": false,314 "block": 3,315 "row": 7410316 },317 {318 "path": "connectivity_analysis/bsc/dn_bs_03_betaseries_extraction.ipynb",319 "sha256": "d41c4d7ac5fa704522fcded0300007d6a6909df55487e360c9999f8ef20cbbcb",320 "language": "Jupyter",321 "lines": 197,322 "truncated": false,323 "block": 3,324 "row": 7499325 },326 {327 "path": "connectivity_analysis/bsc/dn_bs_04_betaseries_correlation.ipynb",328 "sha256": "ea62fda7732144eb3e70916647bef9454219ea24dbf845d3b69825206692793a",329 "language": "Jupyter",330 "lines": 153,331 "truncated": false,332 "block": 3,333 "row": 7397334 },335 {336 "path": "connectivity_analysis/bsc/dn_bs_05_optimal_gamma.ipynb",337 "sha256": "03de5ebdb1f5b9b26b25d05ce3f8c97b96ca8bdc0957333eebcc063dd68f4b68",338 "language": "Jupyter",339 "lines": 369,340 "truncated": false,341 "block": 3,342 "row": 7661343 },344 {345 "path": "connectivity_analysis/bsc/dn_bs_06_graph_measures_unthr.ipynb",346 "sha256": "aa66430e6bacdc7886307de59b089b3f17c0759b45d4eaf6d251ebfb3adbbd80",347 "language": "Jupyter",348 "lines": 130,349 "truncated": false,350 "block": 3,351 "row": 7341352 },353 {354 "path": "connectivity_analysis/bsc/dn_bs_07_modularity.ipynb",355 "sha256": "07676d8bf4e88d8b456a81faf6913aef7acf0180393c9fd25d974ceb7b408503",356 "language": "Jupyter",357 "lines": 129,358 "truncated": false,359 "block": 3,360 "row": 7273361 },362 {363 "path": "connectivity_analysis/bsc/dn_bs_08_consensus_calculation.ipynb",364 "sha256": "3ccfe8be514a647e9081a5f3f8c0c569a9eee54f0664b2896d8bff1d50f2f01d",365 "language": "Jupyter",366 "lines": 96,367 "truncated": false,368 "block": 3,369 "row": 7264370 },371 {372 "path": "connectivity_analysis/bsc/dn_bs_09_consensus_visualization.ipynb",373 "sha256": "5b8b03cbf13f331fb3b70eee5f01920dcbe9f6a7724bf7731cc83ccdb9803bb3",374 "language": "Jupyter",375 "lines": 200,376 "truncated": false,377 "block": 3,378 "row": 7464379 },380 {381 "path": "connectivity_analysis/bsc/dn_bs_10_agreement_monte_carlo.ipynb",382 "sha256": "0904c986430d8e7c8d0f10a9f3957bf4bff34c4d1c3e509457e6d33e75392295",383 "language": "Jupyter",384 "lines": 98,385 "truncated": false,386 "block": 3,387 "row": 7367388 },389 {390 "path": "connectivity_analysis/bsc/dn_bs_11_agreement_statistics.ipynb",391 "sha256": "5bafaca492b47762a87bd5ea071e851a64722a7b90d90ee031108e8f2a5e8139",392 "language": "Jupyter",393 "lines": 93,394 "truncated": false,395 "block": 3,396 "row": 7184397 },398 {399 "path": "connectivity_analysis/bsc/dn_bs_12_agreement_results.ipynb",400 "sha256": "611e253e197974820e17ecb80d7afc6cddcd61b4fbe4ac847c4884cb51147990",401 "language": "Jupyter",402 "lines": 159,403 "truncated": false,404 "block": 3,405 "row": 7300406 },407 {408 "path": "connectivity_analysis/bsc/dn_bs_13_node_profile_calculation.ipynb",409 "sha256": "e1404f35ffacc5c039bf72f7e767fbd2334da9aceb4de59a13215378bd582506",410 "language": "Jupyter",411 "lines": 151,412 "truncated": false,413 "block": 3,414 "row": 7440415 },416 {417 "path": "connectivity_analysis/bsc/dn_bs_14_node_profile_visualisation.ipynb",418 "sha256": "2d894cb89fb07556caa2c1216dde5a853fbe9a5a8112076521a93a4fda74d3db",419 "language": "Jupyter",420 "lines": 69,421 "truncated": false,422 "block": 3,423 "row": 7115424 },425 {426 "path": "connectivity_analysis/bsc/dn_bs_15_nodal_metrics.ipynb",427 "sha256": "f553bac4b4cd2cff024b5d825c09b7ed3df2c5d94d49422030fdf72aeac5453c",428 "language": "Jupyter",429 "lines": 112,430 "truncated": false,431 "block": 3,432 "row": 7229433 },434 {435 "path": "connectivity_analysis/bsc/dn_bs_90_agreement_simple.ipynb",436 "sha256": "2bc8b54159b3359c195e5b5ab774d8e8c3db118d6dd95181c1facd80e287ae34",437 "language": "Jupyter",438 "lines": 102,439 "truncated": false,440 "block": 3,441 "row": 7162442 },443 {444 "path": "connectivity_analysis/bsc/dn_bs_91_lsn_connectivity.ipynb",445 "sha256": "d9b4f2919200cafa78d8ac330b33ec83fdfb20c0c58fe14998a98355a369befc",446 "language": "Jupyter",447 "lines": 114,448 "truncated": false,449 "block": 3,450 "row": 7216451 },452 {453 "path": "connectivity_analysis/bsc/dn_bs_92_consensus_figure.ipynb",454 "sha256": "3807a21ab2fff4732f0bfeb262ab115d95341a5a9a50c10744bce08033d0bb5e",455 "language": "Jupyter",456 "lines": 112,457 "truncated": false,458 "block": 3,459 "row": 7179460 },461 {462 "path": "connectivity_analysis/bsc/dn_bs_98_distributions_TOREF.ipynb",463 "sha256": "a9236f4af2365bb8efc964917039d74c979588df18a8b31e60e589b5a22baa20",464 "language": "Jupyter",465 "lines": 137,466 "truncated": false,467 "block": 3,468 "row": 7254469 },470 {471 "path": "connectivity_analysis/parcellations/dn_pa_01_combine_parcellations.ipynb",472 "sha256": "e6e83efce5178dcf7647628614746d356b0af1c58131be0d540f8d1bbb7af4c1",473 "language": "Jupyter",474 "lines": 108,475 "truncated": false,476 "block": 3,477 "row": 7260478 },479 {480 "path": "connectivity_analysis/parcellations/dn_pa_02_parcellation_figure.ipynb",481 "sha256": "630bb6bb0836c8b8500e5fc1a4de65d2a5e0b2ef897bbae7391f5738465e7ac5",482 "language": "Jupyter",483 "lines": 32,484 "truncated": false,485 "block": 3,486 "row": 7047487 },488 {489 "path": "connectivity_analysis/ppi/dn_pp_01_ppi_linear_model.ipynb",490 "sha256": "49a5ffbf82e7b72fa5206ab2ecd5c74f1d0166d9ecad2d06c62188b08dbba073",491 "language": "Jupyter",492 "lines": 407,493 "truncated": false,494 "block": 3,495 "row": 7718496 },497 {498 "path": "connectivity_analysis/ppi/dn_pp_02_analysis_customROI.ipynb",499 "sha256": "163dd1b08ebfe484109925021a8189611fbe23b94b7e7f1c25594c482d97556d",500 "language": "Jupyter",501 "lines": 294,502 "truncated": false,503 "block": 3,504 "row": 7558505 },506 {507 "path": "connectivity_analysis/ppi/dn_pp_02b_analysis_customROI.ipynb",508 "sha256": "3e6f49ff208a99547f5b74cc521f0d3344c1300b34779a702fc5aa147eaf6f32",509 "language": "Jupyter",510 "lines": 147,511 "truncated": false,512 "block": 3,513 "row": 7340514 },515 {516 "path": "connectivity_analysis/ppi/dn_pp_03_analysis_300ROI.ipynb",517 "sha256": "3f3ce901dedf4811fd9790a96310997be9c2f3539f39780c489acf8b90edd833",518 "language": "Jupyter",519 "lines": 319,520 "truncated": false,521 "block": 3,522 "row": 7640523 }524 ]525}