April 9, 2026 Dataset Open Access

Tahmasbi, Hossein; Knüpfer, Andreas; Kühne, Thomas Dae-Song; Mir Hosseini, Seyed Hossein

JSON Export

{
  "id": 4596, 
  "revision": 4, 
  "updated": "2026-04-10T10:10:31.995567+00:00", 
  "created": "2026-04-10T09:15:24.898416+00:00", 
  "conceptrecid": "4595", 
  "links": {
    "badge": "https://rodare.hzdr.de/badge/doi/10.14278/rodare.4596.svg", 
    "doi": "https://doi.org/10.14278/rodare.4596", 
    "conceptbadge": "https://rodare.hzdr.de/badge/doi/10.14278/rodare.4595.svg", 
    "conceptdoi": "https://doi.org/10.14278/rodare.4595", 
    "bucket": "https://rodare.hzdr.de/api/files/8f232daa-8c06-4cf1-a212-e5504add827f", 
    "html": "https://rodare.hzdr.de/record/4596", 
    "latest": "https://rodare.hzdr.de/api/records/4596", 
    "latest_html": "https://rodare.hzdr.de/record/4596"
  }, 
  "files": [
    {
      "checksum": "md5:1ea5cc0b010ef998c4c90800cb995e60", 
      "type": "gz", 
      "key": "Unary_Benchmark.tar.gz", 
      "links": {
        "self": "https://rodare.hzdr.de/api/files/8f232daa-8c06-4cf1-a212-e5504add827f/Unary_Benchmark.tar.gz"
      }, 
      "bucket": "8f232daa-8c06-4cf1-a212-e5504add827f", 
      "size": 13795417
    }
  ], 
  "stats": {
    "volume": 82772502.0, 
    "unique_downloads": 6.0, 
    "version_unique_downloads": 6.0, 
    "unique_views": 124.0, 
    "downloads": 6.0, 
    "version_unique_views": 124.0, 
    "version_views": 129.0, 
    "version_downloads": 6.0, 
    "version_volume": 82772502.0, 
    "views": 129.0
  }, 
  "metadata": {
    "access_right_category": "success", 
    "publication_date": "2026-04-09", 
    "communities": [
      {
        "id": "matter"
      }, 
      {
        "id": "rodare"
      }
    ], 
    "related_identifiers": [
      {
        "scheme": "url", 
        "relation": "isIdenticalTo", 
        "identifier": "https://www.hzdr.de/publications/Publ-43234"
      }, 
      {
        "scheme": "doi", 
        "relation": "isVersionOf", 
        "identifier": "10.14278/rodare.4595"
      }
    ], 
    "description": "<p>Reference data and scripts generated for&nbsp;the &quot;Benchmarking Universal Machine Learning Interatomic<br>\nPotentials on Elemental Systems&quot; manuscript.</p>", 
    "title": "Benchmarking Universal Machine Learning Interatomic Potentials on Elemental Systems", 
    "doi": "10.14278/rodare.4596", 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "creators": [
      {
        "name": "Tahmasbi, Hossein", 
        "orcid": "0000-0002-3072-8217"
      }, 
      {
        "name": "Kn\u00fcpfer, Andreas", 
        "orcid": "0000-0003-3591-397X"
      }, 
      {
        "name": "K\u00fchne, Thomas Dae-Song"
      }, 
      {
        "name": "Mir Hosseini, Seyed Hossein"
      }
    ], 
    "doc_id": "1", 
    "pub_id": "43234", 
    "access_right": "open", 
    "relations": {
      "version": [
        {
          "count": 1, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "4596"
          }, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "4595"
          }, 
          "index": 0
        }
      ]
    }, 
    "keywords": [], 
    "resource_type": {
      "title": "Dataset", 
      "type": "dataset"
    }
  }, 
  "owners": [
    839
  ], 
  "conceptdoi": "10.14278/rodare.4595", 
  "doi": "10.14278/rodare.4596"
}