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/bwalker1/nest",4 "url": "https://github.com/bwalker1/NeST",5 "host": "github.com",6 "commit": "331c45508509749553265946fd780a683459eda1",7 "license": "MIT",8 "license_confirmed_by": "license file LICENSE",9 "redistribution": "yes",10 "files": [11 {12 "path": "LICENSE",13 "sha256": "8946fec3aff1064b108dfff65ffae47882298088cf65cbe311704552490dabdd",14 "language": "License",15 "lines": 21,16 "truncated": false,17 "block": 11,18 "row": 1417619 },20 {21 "path": "README.md",22 "sha256": "f07de3324bbf1419b2242dc7aed899c37c013ae94c3532a4d37ac2b089b479c7",23 "language": "Text",24 "lines": 73,25 "truncated": false,26 "block": 13,27 "row": 662128 },29 {30 "path": "examples/Breast Cancer Dataset Analysis.ipynb",31 "sha256": "c93ad2b84c4b0d80ef52eb98011e45c7bc5c20ee0be26323d8283b9ea08da6c7",32 "language": "Jupyter",33 "lines": 186,34 "truncated": false,35 "block": 11,36 "row": 1294037 },38 {39 "path": "examples/Merfish Analysis.ipynb",40 "sha256": "e7ff322ebee41e9632b0557dd17793fb882667a1579d5e43c4ee54038c170609",41 "language": "Jupyter",42 "lines": 678,43 "truncated": false,44 "block": 11,45 "row": 1360746 },47 {48 "path": "examples/Slideseq Analysis.ipynb",49 "sha256": "1efe8a2bb9f045d7780313455ef50ef09a8757ced567a438734711f4cf190ca0",50 "language": "Jupyter",51 "lines": 125,52 "truncated": false,53 "block": 11,54 "row": 1252655 },56 {57 "path": "nest/__init__.py",58 "sha256": "47662f2b72a6d6536a34f4503d4a2b8f1b115ede4896ab619b9dc67b81bc02f0",59 "language": "Python",60 "lines": 8,61 "truncated": false,62 "block": 12,63 "row": 348664 },65 {66 "path": "nest/benchmarks/agglomerative.py",67 "sha256": "f68d00eb646336af762e999cf2ce77d2a2149154acca6117dcdffb3dc4f36975",68 "language": "Python",69 "lines": 111,70 "truncated": false,71 "block": 12,72 "row": 1091673 },74 {75 "path": "nest/benchmarks/comparison.py",76 "sha256": "4e437f3874b441079ca16eef503464342f579ba8421bae80c493e3a8ce956c79",77 "language": "Python",78 "lines": 105,79 "truncated": false,80 "block": 12,81 "row": 1146082 },83 {84 "path": "nest/benchmarks/parameters_synthetic.py",85 "sha256": "2159318fa0634715d37fdfe44ede96d0911cf78ef84f9aec5aca272bd67ce53b",86 "language": "Python",87 "lines": 315,88 "truncated": false,89 "block": 12,90 "row": 1820991 },92 {93 "path": "nest/benchmarks/parameters_synthetic_segmentation.py",94 "sha256": "e5711e146a2a548c5eb019988e3006d23afda171c8e091e67dda67b6181e4379",95 "language": "Python",96 "lines": 197,97 "truncated": false,98 "block": 12,99 "row": 15235100 },101 {102 "path": "nest/benchmarks/subsampling.py",103 "sha256": "3af957e8fecef35dceab2ed1f5b7adc432cb0d730c2c467c7e40968f9968cc70",104 "language": "Python",105 "lines": 172,106 "truncated": false,107 "block": 12,108 "row": 13498109 },110 {111 "path": "nest/benchmarks/synthetic_analysis.py",112 "sha256": "394b7818931aca29420045f25dacd557b59f0466ba23927c24d51b6724231738",113 "language": "Python",114 "lines": 95,115 "truncated": false,116 "block": 12,117 "row": 8899118 },119 {120 "path": "nest/cci/__init__.py",121 "sha256": "06b426a31798d1f0c8b991a7fd5d2c5d0925102221024268deab427be4df96e5",122 "language": "Python",123 "lines": 3,124 "truncated": false,125 "block": 12,126 "row": 3186127 },128 {129 "path": "nest/cci/cci.py",130 "sha256": "349dc0fd90aecc1a1aba24225558f3677b9b33e0623785e6a0fbcdab65ed93c4",131 "language": "Python",132 "lines": 381,133 "truncated": false,134 "block": 12,135 "row": 19221136 },137 {138 "path": "nest/cci/cellchat.py",139 "sha256": "e7002787f59bc47414050d8f2691a73bfddcd1897c61c011228dd5e5db050ad9",140 "language": "Python",141 "lines": 70,142 "truncated": false,143 "block": 12,144 "row": 9179145 },146 {147 "path": "nest/cci/spatial.py",148 "sha256": "b30eca057f6ef03bf7a4b6dbc21dbcef58d9b3f6cd22680b47365f17df37b9f2",149 "language": "Python",150 "lines": 194,151 "truncated": false,152 "block": 12,153 "row": 15120154 },155 {156 "path": "nest/data/__init__.py",157 "sha256": "5e8cca58995346676b40df2f1ee48f03de1ceb38a13260add20c8b60f99ab808",158 "language": "Python",159 "lines": 2,160 "truncated": false,161 "block": 12,162 "row": 3097163 },164 {165 "path": "nest/data/data.py",166 "sha256": "0c60cb0710effe32423a5f997cdf2b8269b2198918a3a41bfb8dd013a52c6f19",167 "language": "Python",168 "lines": 201,169 "truncated": false,170 "block": 12,171 "row": 15048172 },173 {174 "path": "nest/data/database.py",175 "sha256": "3e256e3069a7d4d9dc1aacaf969b9d26149e91e73d6fc2717f90cea488a3e615",176 "language": "Python",177 "lines": 38,178 "truncated": false,179 "block": 12,180 "row": 6402181 },182 {183 "path": "nest/goa.py",184 "sha256": "e21351623039af2268073478345ee2e00386b9d04b18916c25f3cff21f6abdfd",185 "language": "Python",186 "lines": 71,187 "truncated": false,188 "block": 12,189 "row": 9600190 },191 {192 "path": "nest/hmrf/__init__.py",193 "sha256": "961e23945ec662fe04a85e6ab131d6bfdd518b6c77dd533565a60519f90e6861",194 "language": "Python",195 "lines": 1,196 "truncated": false,197 "block": 12,198 "row": 3000199 },200 {201 "path": "nest/hmrf/hmrf.py",202 "sha256": "5779f911ac9f252d832adc0bf492f53ec36cfa2aafba82f1aa069ad432a63ee7",203 "language": "Python",204 "lines": 259,205 "truncated": false,206 "block": 12,207 "row": 16112208 },209 {210 "path": "nest/hotspot/__init__.py",211 "sha256": "db78554926d4159b685426c4049d10240530900b2dce1ab14ae009e4a688fcb6",212 "language": "Python",213 "lines": 5,214 "truncated": false,215 "block": 12,216 "row": 3398217 },218 {219 "path": "nest/hotspot/coexpression.py",220 "sha256": "88c3e1f8b4b1daec31b2d4d34c12f491400e641d16a3f8405823ca52d93aa0f3",221 "language": "Python",222 "lines": 551,223 "truncated": false,224 "block": 12,225 "row": 20653226 },227 {228 "path": "nest/hotspot/geometry.py",229 "sha256": "6c00f5154ef5d690303d80e1a4a6229db1da90514c5d792ce2705a7729041bea",230 "language": "Python",231 "lines": 147,232 "truncated": false,233 "block": 12,234 "row": 14120235 },236 {237 "path": "nest/hotspot/hotspot.py",238 "sha256": "f80116ff5a548a0d9af0eafc51f977189da0ffd218beca2f347d3d74a9c08fb0",239 "language": "Python",240 "lines": 527,241 "truncated": false,242 "block": 12,243 "row": 20120244 },245 {246 "path": "nest/hotspot/hotspots_3d.py",247 "sha256": "6cfba57021a586417c24f3090b0002dad328c30e3001d2c0357a3040daf7eaf0",248 "language": "Python",249 "lines": 148,250 "truncated": false,251 "block": 12,252 "row": 13477253 },254 {255 "path": "nest/hotspot/interaction_hotspot.py",256 "sha256": "c65c57186012dcee1bfbbc8e7e4b123594a9bc42bfc42243f3b1b7be2b7c56f7",257 "language": "Python",258 "lines": 136,259 "truncated": false,260 "block": 12,261 "row": 12828262 },263 {264 "path": "nest/methods.py",265 "sha256": "63582a241e0803e2371d4323d87f9d7236ffe2555c10a550a1b97d5d8c45b6e8",266 "language": "Python",267 "lines": 299,268 "truncated": false,269 "block": 12,270 "row": 17428271 },272 {273 "path": "nest/plot/__init__.py",274 "sha256": "89c9584a8bdc259cd5a50a307eb00fb6e3d27f90db1258f262fa2b500beea49d",275 "language": "Python",276 "lines": 4,277 "truncated": false,278 "block": 12,279 "row": 3276280 },281 {282 "path": "nest/plot/hotspots.py",283 "sha256": "61bf753d1014f0b87b6da85240980e61ac3b7869b7d95d3d195345f9867067b5",284 "language": "Python",285 "lines": 240,286 "truncated": false,287 "block": 12,288 "row": 15646289 },290 {291 "path": "nest/plot/plot.py",292 "sha256": "146dce824f17006eb41e0450b0bd7216784ef7941f95d92f6d515f54f448b0b6",293 "language": "Python",294 "lines": 432,295 "truncated": false,296 "block": 12,297 "row": 18868298 },299 {300 "path": "nest/plot/tracksplot.py",301 "sha256": "00ae2f26e799afd1fc8a03c4e9a8452884ff90f2d7876e5d6502420ba058606f",302 "language": "Python",303 "lines": 233,304 "truncated": false,305 "block": 12,306 "row": 16042307 },308 {309 "path": "nest/synthetic/data.py",310 "sha256": "0a9ee88f9fd0eddfade00cda3ef27e5a38641024e9196584e14c05be0ef7661c",311 "language": "Python",312 "lines": 480,313 "truncated": false,314 "block": 12,315 "row": 19971316 },317 {318 "path": "nest/utility/__init__.py",319 "sha256": "b7ccbfe604f7e641fe705ca017f277eeb4d6cd7f21fad2cb4171b82029543b07",320 "language": "Python",321 "lines": 1,322 "truncated": false,323 "block": 12,324 "row": 3021325 },326 {327 "path": "nest/utility/utility.py",328 "sha256": "c33b1ae36d95430ed3f167fa74d656347fd959ba8e674b6b92577283671c2ac2",329 "language": "Python",330 "lines": 90,331 "truncated": false,332 "block": 12,333 "row": 10623334 }335 ]336}