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/bonnsocialneuroscienceunit/responsibilityexperiment",4 "url": "https://archive.softwareheritage.org/swh:1:dir:ffdb46a05612c94626e7dae978b0d5a32f577529;origin=https://github.com/BonnSocialNeuroscienceUnit/ResponsibilityExperiment;visit=swh:1:snp:6670a774dba086cd3a7a09fbcb2af6fa92fef0d6;anchor=swh:1:rev:11854fee85b7b75e23b24cbf98b284c44f6de94d",5 "host": "github.com",6 "commit": "11854fee85b7b75e23b24cbf98b284c44f6de94d",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11 {12 "path": "Code/bin/CharnessRabinModel.m",13 "sha256": "479c11493216d39df117a0e58dd4caabdf336c3dcee4572acc6b546a372b0619",14 "language": "MATLAB",15 "lines": 80,16 "truncated": false,17 "block": 11,18 "row": 2082819 },20 {21 "path": "Code/bin/anova1_repmeas_onMatrix.m",22 "sha256": "71ad0692fd44a2ebbd726b8d2338802af93c326d1ed11ebbb36f4cc3c8ee7fa2",23 "language": "MATLAB",24 "lines": 79,25 "truncated": false,26 "block": 11,27 "row": 1994128 },29 {30 "path": "Code/bin/anova2_repmeas.m",31 "sha256": "258f1aa7290558dca6ccee77f6a8af75dd1c3ce941aa262fb26956cac8e388d5",32 "language": "MATLAB",33 "lines": 135,34 "truncated": false,35 "block": 11,36 "row": 2223737 },38 {39 "path": "Code/bin/anova2_repmeas_autodesign.m",40 "sha256": "8f8fc11fecb60ebc7d87dc5eaf25f33ec75ef016c75ade684ab9b7f6b90e28e2",41 "language": "MATLAB",42 "lines": 42,43 "truncated": false,44 "block": 11,45 "row": 1748946 },47 {48 "path": "Code/bin/anovan_autoDesign.m",49 "sha256": "282ba47428ecebf41d7853a36f749cec672b33af4d78eaf48ebe6158970f82e9",50 "language": "MATLAB",51 "lines": 116,52 "truncated": false,53 "block": 11,54 "row": 2238355 },56 {57 "path": "Code/bin/bttnChoiceDialog.m",58 "sha256": "5faba5cee0575dc6f023c2a9dc1adcada224c6400b5341e637536c3e36985a61",59 "language": "MATLAB",60 "lines": 233,61 "truncated": false,62 "block": 12,63 "row": 67864 },65 {66 "path": "Code/bin/ci_t.m",67 "sha256": "3da58e0aa2491b8569a864b9c5b4ac8b144d5fca48e9db64d1c530f0c3cf564e",68 "language": "MATLAB",69 "lines": 31,70 "truncated": false,71 "block": 11,72 "row": 1717873 },74 {75 "path": "Code/bin/cohens_d.m",76 "sha256": "369df18bcb624f48a486010012c284453cdf718ef5e90b2e1ecd6b7441088afd",77 "language": "MATLAB",78 "lines": 60,79 "truncated": false,80 "block": 11,81 "row": 1990382 },83 {84 "path": "Code/bin/compModelParameterRecoveryFigure.m",85 "sha256": "f429f15f2be8829c091db0a03cc5cc53d082c52202e5188dcca659b9e3a75eef",86 "language": "MATLAB",87 "lines": 73,88 "truncated": false,89 "block": 11,90 "row": 2104191 },92 {93 "path": "Code/bin/compModels/create_fMRIregressors.m",94 "sha256": "29d3e7f086b141c8835a29ac0e00554bc1d25998cc4eb9ee366d20c14c088ad1",95 "language": "MATLAB",96 "lines": 74,97 "truncated": false,98 "block": 11,99 "row": 21454100 },101 {102 "path": "Code/bin/compModels/create_fMRIregressors_otherRPEactPass.m",103 "sha256": "90aff59a3818ced8d561da506f1ac89467fe940a242e9cac5c2126cc7334fa09",104 "language": "MATLAB",105 "lines": 80,106 "truncated": false,107 "block": 11,108 "row": 21611109 },110 {111 "path": "Code/bin/compModels/fit_happy_model_Omar_Social.m",112 "sha256": "2ca3d98dcfe24aee3fda3fdbd44fcdda0b4e009d4be0afefd26b646d06006278",113 "language": "MATLAB",114 "lines": 335,115 "truncated": false,116 "block": 12,117 "row": 1456118 },119 {120 "path": "Code/bin/compModels/fit_happy_model_basic.m",121 "sha256": "293cfb4fb60bc7a55b97aeafa7bdb4f7e99326984bffb169d49312a69246ef97",122 "language": "MATLAB",123 "lines": 135,124 "truncated": false,125 "block": 11,126 "row": 22266127 },128 {129 "path": "Code/bin/compModels/fit_happy_model_guiltenvy.m",130 "sha256": "f1d5e39c4ebe29118675593744f59bd036125d8f5f25738156d27e53004eedcc",131 "language": "MATLAB",132 "lines": 139,133 "truncated": false,134 "block": 11,135 "row": 22353136 },137 {138 "path": "Code/bin/compModels/fit_happy_model_guiltenvy_utl.m",139 "sha256": "950350b16172c7078cc543b7302ceaaf9252867acd9c0c36588011fba3c79187",140 "language": "MATLAB",141 "lines": 233,142 "truncated": false,143 "block": 12,144 "row": 610145 },146 {147 "path": "Code/bin/compModels/fit_happy_model_inequalityActPass.m",148 "sha256": "2802d87a1d995125edde92b781f0b251ae51ee480873c9044a2461ef43a30186",149 "language": "MATLAB",150 "lines": 142,151 "truncated": false,152 "block": 11,153 "row": 22587154 },155 {156 "path": "Code/bin/compModels/fit_happy_model_inequalitySimple.m",157 "sha256": "0565c3bf56096ed131507591728e1ee72cbeddd50367abbfe29dff833f2f1be5",158 "language": "MATLAB",159 "lines": 137,160 "truncated": false,161 "block": 11,162 "row": 22321163 },164 {165 "path": "Code/bin/compModels/fit_happy_model_otherRPE.m",166 "sha256": "207b7497018e992cc1b14ee6314d9d06a73044d19776b41144184b17132f5af4",167 "language": "MATLAB",168 "lines": 102,169 "truncated": false,170 "block": 11,171 "row": 20825172 },173 {174 "path": "Code/bin/compModels/fit_happy_model_otherRPEactPass.m",175 "sha256": "3fe83d5cacffd8754a663a2d22ce85792ad4e7954641f260762de6fade5b7a24",176 "language": "MATLAB",177 "lines": 139,178 "truncated": false,179 "block": 11,180 "row": 22427181 },182 {183 "path": "Code/bin/compModels/fit_happy_model_partnerRPE.m",184 "sha256": "8e47d3e229b70938f059b664e0c4b23e462d4d27e5106082ffc41878a7603c65",185 "language": "MATLAB",186 "lines": 102,187 "truncated": false,188 "block": 11,189 "row": 20822190 },191 {192 "path": "Code/bin/compModels/fit_happy_model_responsibility.m",193 "sha256": "b717554765ace2392c3181759ed29ae3ae70e060336b4791dd56d5012681dd24",194 "language": "MATLAB",195 "lines": 139,196 "truncated": false,197 "block": 11,198 "row": 22566199 },200 {201 "path": "Code/bin/compModels/fit_happy_model_responsibility_redux.m",202 "sha256": "ca1a85243b7750eac9c347bd65cb002cbe5f3024d26f2f2931e2066038931d29",203 "language": "MATLAB",204 "lines": 138,205 "truncated": false,206 "block": 11,207 "row": 22573208 },209 {210 "path": "Code/bin/compModels/parameterRecovery_happy_model_responsibility_redux.m",211 "sha256": "c64aff20bcf8916f64536762cf684240df251f8d3059fb8cc4361cb2eac89849",212 "language": "MATLAB",213 "lines": 139,214 "truncated": false,215 "block": 11,216 "row": 22746217 },218 {219 "path": "Code/bin/correl.m",220 "sha256": "95f96c23d0af208596997940bca33d7d9a13c20670e1b63112c1137a391d8b61",221 "language": "MATLAB",222 "lines": 26,223 "truncated": false,224 "block": 11,225 "row": 16342226 },227 {228 "path": "Code/bin/dotPlot.m",229 "sha256": "85f7a1d896750cccbd23bdc161898875f90ce8a398d57356772637706b1d0241",230 "language": "MATLAB",231 "lines": 333,232 "truncated": false,233 "block": 12,234 "row": 1347235 },236 {237 "path": "Code/bin/fittingUtilityFunction/exponUtilityFunction.m",238 "sha256": "00568a1f0895c71242d0d59216a9cab1db348c07742adb407fa93e070a114b9d",239 "language": "MATLAB",240 "lines": 23,241 "truncated": false,242 "block": 11,243 "row": 15785244 },245 {246 "path": "Code/bin/fittingUtilityFunction/findCARArhoInSearchSpace.m",247 "sha256": "bae6e2e2c42ce3fa652dfe4d21710d44913b9f89ed2d8d8b5343e6aade7b1461",248 "language": "MATLAB",249 "lines": 71,250 "truncated": false,251 "block": 11,252 "row": 21401253 },254 {255 "path": "Code/bin/fittingUtilityFunction/fitCARAmodelToRiskyChoices.m",256 "sha256": "9949630e84f34958b8faacbc782835485182a706520f4b8b9be19415a415977b",257 "language": "MATLAB",258 "lines": 327,259 "truncated": false,260 "block": 12,261 "row": 1614262 },263 {264 "path": "Code/bin/fittingUtilityFunction/fitCARAmodelToRiskyChoices2conds.m",265 "sha256": "97f29363bddd9191b57a687d7fef9d3860aea8bb3f544d067ad236cea2f592ac",266 "language": "MATLAB",267 "lines": 333,268 "truncated": false,269 "block": 12,270 "row": 1709271 },272 {273 "path": "Code/bin/fittingUtilityFunction/fitCARAmodelToRiskyChoices_workFile.m",274 "sha256": "4ed32311e9c5d860fd84256c7a0adf36499c9360bb53146e822580dba6b9d698",275 "language": "MATLAB",276 "lines": 283,277 "truncated": false,278 "block": 12,279 "row": 1445280 },281 {282 "path": "Code/bin/fittingUtilityFunction/fitExponUtilityFunction.m",283 "sha256": "8b9611a4c2a20385ec401fb33676ea7ae94562fa7149b7607115489c712882cc",284 "language": "MATLAB",285 "lines": 12,286 "truncated": false,287 "block": 11,288 "row": 15301289 },290 {291 "path": "Code/bin/fittingUtilityFunction/fitUtilityFunction.m",292 "sha256": "df6c20c1645afc53971a293026052611b3859b7c45b40356aeea8dfad045a8ed",293 "language": "MATLAB",294 "lines": 54,295 "truncated": false,296 "block": 11,297 "row": 18717298 },299 {300 "path": "Code/bin/fittingUtilityFunction/test_prospectTheory.m",301 "sha256": "3777b9756d4d160a1ccca905921914f9d7f1dad94ae8e242e573ddbccdc12a06",302 "language": "MATLAB",303 "lines": 25,304 "truncated": false,305 "block": 11,306 "row": 17294307 },308 {309 "path": "Code/bin/meanErrPlotDots.m",310 "sha256": "df2a76a8062a97fa5c284bea29b7419810a9add83acb8b8244b29721fce5f82c",311 "language": "MATLAB",312 "lines": 133,313 "truncated": false,314 "block": 11,315 "row": 21851316 },317 {318 "path": "Code/bin/meansembar.m",319 "sha256": "49cd76a5416f0d9c72891bce1077041ea6b46facd4c9713d7ff50aeed0e14578",320 "language": "MATLAB",321 "lines": 106,322 "truncated": false,323 "block": 11,324 "row": 21505325 },326 {327 "path": "Code/bin/niceColorsWarm2.m",328 "sha256": "2429de68f887da33dae09b15bf2612038073507c85e3faf7cc5ad9461fa8aabf",329 "language": "MATLAB",330 "lines": 33,331 "truncated": false,332 "block": 11,333 "row": 16139334 },335 {336 "path": "Code/bin/printEconomicsStyleRegressionTableForGLMs.m",337 "sha256": "ab308ff81649242eefcd08bb6fb03e354858e37f3f1ae99db72a74d890208bfa",338 "language": "MATLAB",339 "lines": 120,340 "truncated": false,341 "block": 11,342 "row": 21652343 },344 {345 "path": "Code/bin/printSVG.m",346 "sha256": "4af4e8c851234d1f5a35c3257397b6e823d3f0155745fd8827d83f4041f9326c",347 "language": "MATLAB",348 "lines": 78,349 "truncated": false,350 "block": 11,351 "row": 21050352 },353 {354 "path": "Code/bin/printfig.m",355 "sha256": "106000e73bbbefd493422c6c395cb449e37a32a7496a7c6f89b944bf4a691210",356 "language": "MATLAB",357 "lines": 78,358 "truncated": false,359 "block": 11,360 "row": 21052361 },362 {363 "path": "Code/bin/regress_display.m",364 "sha256": "02fd8cbd357ade149e01f027934dfbefcd4af411535e2fa5077b587b6b57c27c",365 "language": "MATLAB",366 "lines": 334,367 "truncated": false,368 "block": 12,369 "row": 1379370 },371 {372 "path": "Code/bin/signrank_nice.m",373 "sha256": "d8aa9e6e36d3858e56100793c3b6879371690ebfe9c30e969be7a768f3cb89c6",374 "language": "MATLAB",375 "lines": 239,376 "truncated": false,377 "block": 12,378 "row": 175379 },380 {381 "path": "Code/bin/stars.m",382 "sha256": "723ad9efbcc715db8818ea5f643546c9a2f0de4610593306941f710108625728",383 "language": "MATLAB",384 "lines": 10,385 "truncated": false,386 "block": 11,387 "row": 14752388 },389 {390 "path": "Code/bin/ttest_nice.m",391 "sha256": "b6b641cef837b6681a5bc58e1a7414cf71591204fb8c51d45f8d0579b92190ac",392 "language": "MATLAB",393 "lines": 130,394 "truncated": false,395 "block": 11,396 "row": 22239397 },398 {399 "path": "Code/fMRI/a_preprocessing.m",400 "sha256": "31e9dafd9025dbceaf6c3f90dfd2f38902d0887c80f99b818d06ad932a697229",401 "language": "MATLAB",402 "lines": 213,403 "truncated": false,404 "block": 12,405 "row": 1565406 },407 {408 "path": "Code/fMRI/b_FFX.m",409 "sha256": "98f2fb3ccfa084e20b51bccdccbccc45a680a059bdc6f139ea65a3e0b8c0c5ca",410 "language": "MATLAB",411 "lines": 635,412 "truncated": false,413 "block": 12,414 "row": 2254415 },416 {417 "path": "Code/fMRI/bb_onsetMaker.m",418 "sha256": "9bcf50a0d6dd56fdca0eb552dcbcbe2d377fb8b60023a02a103b1e764444e6a4",419 "language": "MATLAB",420 "lines": 92,421 "truncated": false,422 "block": 11,423 "row": 23279424 },425 {426 "path": "Code/fMRI/c_gPPI.m",427 "sha256": "ce4ee63c56a47f5f4f4c48ed1fb0c96daf1ffce236358d7be7eeece5b343b03e",428 "language": "MATLAB",429 "lines": 191,430 "truncated": false,431 "block": 12,432 "row": 1036433 },434 {435 "path": "Code/fMRI/d_RFX_fullFact.m",436 "sha256": "a5d0dad74388cd8be5570c45db590d21beebcf2ed8bd9cd21292b7a0864b6613",437 "language": "MATLAB",438 "lines": 275,439 "truncated": false,440 "block": 12,441 "row": 1212442 },443 {444 "path": "Code/fMRI/e_RFX_pairedTtest_guiltEffect.m",445 "sha256": "779d199b21ab9f30b58d037f58fc052c8f896e3a8df36ee8bd138a0dd3fa3c3e",446 "language": "MATLAB",447 "lines": 109,448 "truncated": false,449 "block": 11,450 "row": 23116451 },452 {453 "path": "Code/fMRI/f_apply_YuKoban_guilt_signature_map.m",454 "sha256": "9ec512c34df89ba7db155a4b6837d41a8bbf5936d2771a4a013d9b3c9b315801",455 "language": "MATLAB",456 "lines": 87,457 "truncated": false,458 "block": 11,459 "row": 22763460 },461 {462 "path": "Code/master_behavAnalysis.m",463 "sha256": "d4842d2fe93944552830d8beca55e3d80aff319a1216a10af0d25fec91e73926",464 "language": "MATLAB",465 "lines": 1351,466 "truncated": false,467 "block": 12,468 "row": 2450469 },470 {471 "path": "Code/master_behavAnalysis_revised.m",472 "sha256": "e102013b6d2851e6e81daa68a31cf7f8a295fa57a6a5554fc75e0667783d3988",473 "language": "MATLAB",474 "lines": 1385,475 "truncated": false,476 "block": 12,477 "row": 2455478 },479 {480 "path": "Code/master_fMRI_showResults.m",481 "sha256": "0f6ce1d43315d3b8cc999cdfa10be1217ecedc778570329a0a815ed66966a6cb",482 "language": "MATLAB",483 "lines": 302,484 "truncated": false,485 "block": 12,486 "row": 1817487 },488 {489 "path": "Code/socialDecisionRespo_fMRI.m",490 "sha256": "46e22af5f993ef70249728c550cdd26a8607830557a52ff30565be897563f235",491 "language": "MATLAB",492 "lines": 634,493 "truncated": false,494 "block": 12,495 "row": 2316496 },497 {498 "path": "LICENSE",499 "sha256": "f209015b2030ef8142e7a0f1722bafac601e37c1e707c878f4add3d61da20e32",500 "language": "License",501 "lines": 21,502 "truncated": false,503 "block": 11,504 "row": 14235505 },506 {507 "path": "README.md",508 "sha256": "5433ce76e9e7afccfcae0ce71a35acc42bf99f134a310cc9f96dd9d5fc9bcdf5",509 "language": "Text",510 "lines": 30,511 "truncated": false,512 "block": 13,513 "row": 6412514 }515 ]516}