Dataset Open Access
{ "owners": [ 289 ], "links": { "badge": "https://rodare.hzdr.de/badge/doi/10.14278/rodare.2289.svg", "doi": "https://doi.org/10.14278/rodare.2289", "conceptbadge": "https://rodare.hzdr.de/badge/doi/10.14278/rodare.2288.svg", "conceptdoi": "https://doi.org/10.14278/rodare.2288", "bucket": "https://rodare.hzdr.de/api/files/74128a4b-a7d6-4525-b8f1-ba9799c8fe10", "html": "https://rodare.hzdr.de/record/2289", "latest": "https://rodare.hzdr.de/api/records/2289", "latest_html": "https://rodare.hzdr.de/record/2289" }, "revision": 5, "created": "2023-12-08T08:53:07.524946+00:00", "files": [ { "links": { "self": "https://rodare.hzdr.de/api/files/74128a4b-a7d6-4525-b8f1-ba9799c8fe10/atoMEC_data.tar.gz" }, "bucket": "74128a4b-a7d6-4525-b8f1-ba9799c8fe10", "checksum": "md5:abef0601267cf65d204411a618f761c8", "size": 3479529517, "key": "atoMEC_data.tar.gz", "type": "gz" }, { "links": { "self": "https://rodare.hzdr.de/api/files/74128a4b-a7d6-4525-b8f1-ba9799c8fe10/trained_models.tar" }, "bucket": "74128a4b-a7d6-4525-b8f1-ba9799c8fe10", "checksum": "md5:50ebce2c59cdb13d3b8ed4759ad00c4c", "size": 7157760, "key": "trained_models.tar", "type": "tar" } ], "id": 2289, "updated": "2023-12-18T12:07:34.978346+00:00", "conceptrecid": "2288", "metadata": { "access_right_category": "success", "contributors": [ { "name": "Cangi, Attila", "affiliation": "Center for Advanced Systems Understanding (CASUS), Helmholtz-Zentrum Dresden-Rossendorf", "orcid": "0000-0001-9162-262X", "type": "Supervisor" }, { "name": "Kraisler, Eli", "affiliation": "The Hebrew University of Jerusalem", "orcid": "0000-0003-0139-258X", "type": "Researcher" }, { "name": "Nikl, Jan", "affiliation": "Center for Advanced Systems Understanding (CASUS), Helmholtz-Zentrum Dresden-Rossendorf", "orcid": "0000-0003-0131-0628", "type": "Researcher" } ], "description": "<p>Data for the paper "Physics-enhanced neural networks for equation-of-state calculations"</p>\n\n<p>There are two tar folders:</p>\n\n<ol>\n\t<li>\n\t<p> trained_models.tar: This contains the final trained models</p>\n\t</li>\n\t<li>\n\t<p>atoMEC_data.tar.gz: This contains the output from the average-atom calculations.</p>\n\t</li>\n</ol>\n\n<p>For a more detailed explanation of the contents of these folders, please consult the README.md file of this <a href=\"https://github.com/atomec-project/neuralEOS\">GitHub repository</a></p>", "resource_type": { "title": "Dataset", "type": "dataset" }, "relations": { "version": [ { "parent": { "pid_value": "2288", "pid_type": "recid" }, "index": 0, "last_child": { "pid_value": "2289", "pid_type": "recid" }, "is_last": true, "count": 1 } ] }, "access_right": "open", "creators": [ { "affiliation": "Center for Advanced Systems Understanding (CASUS), Helmholtz-Zentrum Dresden-Rossendorf", "name": "Callow, Timothy James", "orcid": "0000-0002-4878-3521" } ], "doi": "10.14278/rodare.2289", "pub_id": "38068", "related_identifiers": [ { "relation": "isIdenticalTo", "identifier": "https://www.hzdr.de/publications/Publ-38068", "scheme": "url" }, { "relation": "isReferencedBy", "identifier": "https://www.hzdr.de/publications/Publ-37955", "scheme": "url" }, { "relation": "isReferencedBy", "identifier": "https://www.hzdr.de/publications/Publ-37075", "scheme": "url" }, { "relation": "isVersionOf", "identifier": "10.14278/rodare.2288", "scheme": "doi" } ], "publication_date": "2023-05-04", "license": { "id": "CC-BY-4.0" }, "communities": [ { "id": "rodare" } ], "title": "Data publication: Physics-enhanced neural networks for equation-of-state calculations", "keywords": [], "doc_id": "1" }, "doi": "10.14278/rodare.2289", "conceptdoi": "10.14278/rodare.2288", "stats": { "volume": 45283988041.0, "unique_downloads": 19.0, "version_unique_downloads": 19.0, "unique_views": 130.0, "downloads": 20.0, "version_unique_views": 130.0, "version_views": 138.0, "version_downloads": 20.0, "version_volume": 45283988041.0, "views": 138.0 } }
All versions | This version | |
---|---|---|
Views | 138 | 138 |
Downloads | 20 | 20 |
Data volume | 45.3 GB | 45.3 GB |
Unique views | 130 | 130 |
Unique downloads | 19 | 19 |