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/danclab/lagged_hilbert_autocoherence",4 "url": "https://github.com/danclab/lagged_hilbert_autocoherence",5 "host": "github.com",6 "commit": "6bd554a6afd230c6ede176dd88a3cc2f59f2e430",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": "R/analyze_dev_umd_alpha_bursts.R",22 "sha256": "b2c93ac02b0418e837bfd2dde4d21166a0714737ee71f65fa9f9040c01c0fd92",23 "language": "R",24 "lines": 118,25 "truncated": false,26 "block": 16,27 "row": 290028 },29 {30 "path": "R/analyze_explicit-implicit.R",31 "sha256": "a42bff732283d856743902bfbf91a94ee71ab0970d23ad255ffa5e75254687e2",32 "language": "R",33 "lines": 61,34 "truncated": false,35 "block": 16,36 "row": 250737 },38 {39 "path": "R/analyze_sims.R",40 "sha256": "254ad1142a326acf5e8877f87c6b3f63e28b854874ea2f84270bc251e2ef9bb0",41 "language": "R",42 "lines": 58,43 "truncated": false,44 "block": 16,45 "row": 217146 },47 {48 "path": "R/analyze_sims_snr.R",49 "sha256": "48ca73f93ddd766a666333edd52b77e472610a6771bc3fca27ab9819d7205613",50 "language": "R",51 "lines": 67,52 "truncated": false,53 "block": 16,54 "row": 228755 },56 {57 "path": "README.md",58 "sha256": "f664e2d3e08aaa1dce32ec1bdc26d058f158547c164ba6c4b4d72de9034c6d93",59 "language": "Text",60 "lines": 40,61 "truncated": false,62 "block": 16,63 "row": 715764 },65 {66 "path": "matlab/demo.m",67 "sha256": "02341dfdecd1f20b80c78b98e425f8e3937e54f6df775f50e181a4371f11799b",68 "language": "MATLAB",69 "lines": 469,70 "truncated": false,71 "block": 15,72 "row": 358373 },74 {75 "path": "matlab/generate_surrogate.m",76 "sha256": "03b688166c6d1a0c63b9e562fc526c430ec1a9e76ce029c328ec7f3d4dee1e90",77 "language": "MATLAB",78 "lines": 46,79 "truncated": false,80 "block": 14,81 "row": 2099982 },83 {84 "path": "matlab/hilbert.m",85 "sha256": "facf4081a460559587786ff9f36bdf5a387033100d321bbe788f315514fb5780",86 "language": "MATLAB",87 "lines": 35,88 "truncated": false,89 "block": 14,90 "row": 1962691 },92 {93 "path": "matlab/irfft.m",94 "sha256": "2ecca585ada7284257eabc3baa3b25d3f4fd6924f814442de8246db7e859de8a",95 "language": "MATLAB",96 "lines": 87,97 "truncated": false,98 "block": 14,99 "row": 24803100 },101 {102 "path": "matlab/lagged_hilbert_autocoherence.m",103 "sha256": "f425b6ac6ebe04dd6f5a2c7ad62825a2419c019e9cf7482e9c0287508dce1ac4",104 "language": "MATLAB",105 "lines": 144,106 "truncated": false,107 "block": 15,108 "row": 1600109 },110 {111 "path": "matlab/multi_trial_demo.m",112 "sha256": "a5e8056d5ef2e463142242a3742407dcfd3a469f4f5f23654446fdeed8f9d52f",113 "language": "MATLAB",114 "lines": 143,115 "truncated": false,116 "block": 14,117 "row": 24416118 },119 {120 "path": "matlab/rfft.m",121 "sha256": "68e693cd2e000fe6362dc4f4d97df424a6ba6dd1973bd482caebbc917e9e78d9",122 "language": "MATLAB",123 "lines": 53,124 "truncated": false,125 "block": 14,126 "row": 22363127 },128 {129 "path": "python/demo.ipynb",130 "sha256": "3978545352742caeb40b575bbf31fdad734bef72d5d0596740a4e08e440c9d58",131 "language": "Jupyter",132 "lines": 677,133 "truncated": false,134 "block": 14,135 "row": 16373136 },137 {138 "path": "python/lagged_autocoherence.py",139 "sha256": "8cda22fb8ba1a2f996a60876ed6fb03527d6faafa764c85c963a6aa4bd01c37b",140 "language": "Python",141 "lines": 433,142 "truncated": false,143 "block": 15,144 "row": 24100145 },146 {147 "path": "python/multi_trial_demo.ipynb",148 "sha256": "be1e74da0cc68215c0903707ad58387abf157b424276322bdcda68b6cdf6b98f",149 "language": "Jupyter",150 "lines": 162,151 "truncated": false,152 "block": 14,153 "row": 15225154 },155 {156 "path": "python/plot_figure_1.ipynb",157 "sha256": "307cf7dd7a0b261ceb17022a5ef5a111a8405d265b84bcb0049fe6b719cb635e",158 "language": "Jupyter",159 "lines": 506,160 "truncated": false,161 "block": 14,162 "row": 16220163 },164 {165 "path": "python/plot_figure_2.ipynb",166 "sha256": "9dc6b1ae911eca8e1e8800d65781c5c108e3382d3264225dd59b70130a4a1915",167 "language": "Jupyter",168 "lines": 123,169 "truncated": false,170 "block": 14,171 "row": 15232172 },173 {174 "path": "python/plot_figure_3.ipynb",175 "sha256": "d0f6758aade54e07067a189f96bdaa98f18f62c00063dc79d18b8c48a6ba0dde",176 "language": "Jupyter",177 "lines": 193,178 "truncated": false,179 "block": 14,180 "row": 15536181 },182 {183 "path": "python/plot_figure_4.ipynb",184 "sha256": "57db48dd8cc81c29c341aca987dca060fd7ed49dce83efadecb8be66cfd44b64",185 "language": "Jupyter",186 "lines": 347,187 "truncated": false,188 "block": 14,189 "row": 16182190 },191 {192 "path": "python/plot_figure_5.ipynb",193 "sha256": "5b314bc405f857e14a706e3274dc58854347798cba720eba710f7bf6829af935",194 "language": "Jupyter",195 "lines": 472,196 "truncated": false,197 "block": 14,198 "row": 16346199 },200 {201 "path": "python/plot_figure_6-7.ipynb",202 "sha256": "2e3b2f787d07a49e9054143062cab11f82c1f1be762404f6c1f3af7ad54c3f24",203 "language": "Jupyter",204 "lines": 616,205 "truncated": false,206 "block": 14,207 "row": 16396208 },209 {210 "path": "python/plot_figure_8-9.ipynb",211 "sha256": "48d7703beca4513a7cd5e6d2a98c8539d9608a7544e1c9f2f0161bbb45df372f",212 "language": "Jupyter",213 "lines": 987,214 "truncated": false,215 "block": 14,216 "row": 16599217 },218 {219 "path": "python/plot_figure_s1.ipynb",220 "sha256": "44735442d3d28c85d7dfe72007f6272551abc96f873f2cab5debf5d8589f3e1b",221 "language": "Jupyter",222 "lines": 67,223 "truncated": false,224 "block": 14,225 "row": 14870226 },227 {228 "path": "python/plot_figure_s2.ipynb",229 "sha256": "115f38318b3521a66b96a4aedd067d61fcfc0663a6542199351a74644689ccc3",230 "language": "Jupyter",231 "lines": 158,232 "truncated": false,233 "block": 14,234 "row": 15294235 },236 {237 "path": "python/plot_figure_s3.ipynb",238 "sha256": "10b1ba8bc581086f5524a075580b871960f3a55807c7e05ba83d34d5b0f09d3c",239 "language": "Jupyter",240 "lines": 38,241 "truncated": false,242 "block": 14,243 "row": 14799244 },245 {246 "path": "python/plot_figure_s4-s6.ipynb",247 "sha256": "88eb65d99ceca96b2ad52a593091afc0d4bef52fcb10484801e6af0de2e86558",248 "language": "Jupyter",249 "lines": 276,250 "truncated": false,251 "block": 14,252 "row": 15947253 },254 {255 "path": "python/run_dev_umd.py",256 "sha256": "e5759b66edde53f41fd8a7c59f595ebf556a4dfdd6810e853c7e622100d0bfe1",257 "language": "Python",258 "lines": 99,259 "truncated": false,260 "block": 15,261 "row": 16445262 },263 {264 "path": "python/run_dev_umd_burst_detection.py",265 "sha256": "f6cb2a188200f9b58f9fa5a9db67e18f1b5ffac4e78a681d9a2d5197f100e048",266 "language": "Python",267 "lines": 255,268 "truncated": false,269 "block": 15,270 "row": 21686271 },272 {273 "path": "python/run_explicit-implicit.py",274 "sha256": "b60de060295c168144735dcd3b6ef2219e345a224fda7f585923626463363384",275 "language": "Python",276 "lines": 78,277 "truncated": false,278 "block": 15,279 "row": 13578280 },281 {282 "path": "python/run_sims_0_surrogate_comparison.py",283 "sha256": "e5601448d355d803bb7635059647e790f12d127b451661042763be1ceb951bc8",284 "language": "Python",285 "lines": 372,286 "truncated": false,287 "block": 15,288 "row": 23088289 },290 {291 "path": "python/run_sims_1_joint_amp_norm_factor.py",292 "sha256": "55d50b28fac9bf0a42e18d2790f7b92ea324d78147ff523554aae00f67c91353",293 "language": "Python",294 "lines": 184,295 "truncated": false,296 "block": 15,297 "row": 18653298 },299 {300 "path": "python/run_sims_2_oscillation.py",301 "sha256": "942b5d662a1acf006fb6184a7e5f0e6b1ad33b12e98c1c9251646bfa31b3db6b",302 "language": "Python",303 "lines": 131,304 "truncated": false,305 "block": 15,306 "row": 15352307 },308 {309 "path": "python/run_sims_3_burst_duration.py",310 "sha256": "18ffcfc3ed39b6d8162224236ebdffdfe25c1d4644d09ff4fb326e79e77c18af",311 "language": "Python",312 "lines": 151,313 "truncated": false,314 "block": 15,315 "row": 17146316 },317 {318 "path": "python/run_sims_4_burst_number.py",319 "sha256": "3855f4d8e51ee0f48625febc678b42f35b4a3e13425e1eaa013d6a2d3348c90f",320 "language": "Python",321 "lines": 148,322 "truncated": false,323 "block": 15,324 "row": 16912325 },326 {327 "path": "python/run_sims_5_snr_threshold.py",328 "sha256": "b5154aee5937cca1d545c70b3d1f46d70c02332c9cc5315a25fff80b5777e06a",329 "language": "Python",330 "lines": 106,331 "truncated": false,332 "block": 15,333 "row": 13761334 },335 {336 "path": "python/surrogate_comparison.ipynb",337 "sha256": "6089132847de2b339d902a3614919320e2c5ea76dc7069e6aa49a9d3b56175f9",338 "language": "Jupyter",339 "lines": 136,340 "truncated": false,341 "block": 14,342 "row": 15109343 },344 {345 "path": "python/utils.py",346 "sha256": "c1df8efb6ab4956158c422780e287e7b22c694b029d05377c9db4c82c4049439",347 "language": "Python",348 "lines": 180,349 "truncated": false,350 "block": 15,351 "row": 17814352 }353 ]354}