Download manifests/2f/github.com__tomasberjagabuisan__thermo-consciousness.json from OpenScientificCodeRegistry/Database: direct link, hf CLI and curl.
- Browser
- Download file 3.79 kB
-
https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/2f/github.com__tomasberjagabuisan__thermo-consciousness.json
- Command line
-
hf download hf://datasets/OpenScientificCodeRegistry/Database/manifests/2f/github.com__tomasberjagabuisan__thermo-consciousness.json
-
curl -L -o github.com__tomasberjagabuisan__thermo-consciousness.json https://huggingface.co/datasets/OpenScientificCodeRegistry/Database/resolve/main/manifests/2f/github.com__tomasberjagabuisan__thermo-consciousness.json
3.79 kB
| { | |
| "format": "oscr-script-manifest/1", | |
| "repository": "github.com/tomasberjagabuisan/thermo-consciousness", | |
| "url": "https://github.com/tomasberjagabuisan/Thermo-Consciousness", | |
| "host": "github.com", | |
| "commit": "7d604646ae36fab50829437977a037abce5963f3", | |
| "license": "MIT", | |
| "license_confirmed_by": "license file LICENSE", | |
| "redistribution": "yes", | |
| "files": [ | |
| { | |
| "path": "1. Generative Effective Connectivity/Functions/demean.m", | |
| "sha256": "a78184675a584591a60662ab256a9449381fe2a2ff23994a366cdbf7a58a6b1b", | |
| "language": "MATLAB", | |
| "lines": 23, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 3602 | |
| }, | |
| { | |
| "path": "1. Generative Effective Connectivity/Functions/derivative.m", | |
| "sha256": "796cd39a52e98648f6380dda9b66d6bdfa9568e098a20cd504ba3c4ea8c3e3a3", | |
| "language": "MATLAB", | |
| "lines": 74, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 11136 | |
| }, | |
| { | |
| "path": "1. Generative Effective Connectivity/Functions/linear_int.m", | |
| "sha256": "19e787e1f58e97b8f16564fadad737b9b65f51b5ef8f657c485fd80e2eb9cf72", | |
| "language": "MATLAB", | |
| "lines": 37, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 7845 | |
| }, | |
| { | |
| "path": "1. Generative Effective Connectivity/Functions/linear_linfit_sub.m", | |
| "sha256": "4a37f3550a96a7a69cafb6df3bbb800d7b716b54eecad497cd1054d46b3dd6c7", | |
| "language": "MATLAB", | |
| "lines": 163, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 16460 | |
| }, | |
| { | |
| "path": "1. Generative Effective Connectivity/GEC.m", | |
| "sha256": "b4c3c763e35370a5f507fbfe42205ba0ea2b7390b7127500a1468fbbf85e5302", | |
| "language": "MATLAB", | |
| "lines": 202, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 17072 | |
| }, | |
| { | |
| "path": "2. Analytical Thermodynamics/Analytical_Thermo_NoneqMetrics.ipynb", | |
| "sha256": "04764ad8217efbd514e5808446f6f9dfd97bd4c47d24304f7e85ba691776e120", | |
| "language": "Jupyter", | |
| "lines": 466, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 504 | |
| }, | |
| { | |
| "path": "3. FDT Violations/Functions/demean.m", | |
| "sha256": "a78184675a584591a60662ab256a9449381fe2a2ff23994a366cdbf7a58a6b1b", | |
| "language": "MATLAB", | |
| "lines": 23, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 3602 | |
| }, | |
| { | |
| "path": "3. FDT Violations/Functions/derivative.m", | |
| "sha256": "796cd39a52e98648f6380dda9b66d6bdfa9568e098a20cd504ba3c4ea8c3e3a3", | |
| "language": "MATLAB", | |
| "lines": 74, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 11136 | |
| }, | |
| { | |
| "path": "3. FDT Violations/Functions/funcs_FDT_CAR_sim.m", | |
| "sha256": "d5af6757761388ebd7876ad3aaa57f38472e4045325a92640f217ba003b67c95", | |
| "language": "MATLAB", | |
| "lines": 75, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 12567 | |
| }, | |
| { | |
| "path": "3. FDT Violations/Functions/linear_sim_0init.m", | |
| "sha256": "5cf5232083de069b533cf270b3f66b98dafaac20cc404fd23bec784b8b1e7ec8", | |
| "language": "MATLAB", | |
| "lines": 55, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 10388 | |
| }, | |
| { | |
| "path": "3. FDT Violations/Functions/linear_sim_1start.m", | |
| "sha256": "c3b9e53ebbedaf16409bb7cdd2d042a29a72f0aa27f462117c3ff1d8d156c0fe", | |
| "language": "MATLAB", | |
| "lines": 76, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 11950 | |
| }, | |
| { | |
| "path": "3. FDT Violations/slurm.sbatch_FDT_HPC_example.m", | |
| "sha256": "e709fca8cbb309144034a9ea8fd40b141fe6fd7c4f03c6bff7cb08ad08e23ac8", | |
| "language": "MATLAB", | |
| "lines": 332, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 17822 | |
| }, | |
| { | |
| "path": "LICENSE", | |
| "sha256": "64d33f19581d1fdf6b768d3e8cb4e29d8c8f1883adef6ecf7dba24504acc653b", | |
| "language": "License", | |
| "lines": 21, | |
| "truncated": false, | |
| "block": 6, | |
| "row": 1758 | |
| }, | |
| { | |
| "path": "README.md", | |
| "sha256": "6b2bdc4244d41d7b2ad5588cd0588be335e0189e4e836ef502199bc758eb8163", | |
| "language": "Text", | |
| "lines": 58, | |
| "truncated": false, | |
| "block": 8, | |
| "row": 10278 | |
| } | |
| ] | |
| } |