June 7, 2022 Dataset Open Access

Zhdanov, Maksim; Ganeva, Marina; Randolph, Lisa; Kluge, Thomas; Hoffmann, Nico

JSON Export

{
  "id": 1687, 
  "created": "2022-06-08T10:35:00.987480+00:00", 
  "revision": 5, 
  "files": [
    {
      "type": "zip", 
      "links": {
        "self": "https://rodare.hzdr.de/api/files/e67cfc74-53d0-4c1e-8f1b-f520c265e644/layer_1.zip"
      }, 
      "bucket": "e67cfc74-53d0-4c1e-8f1b-f520c265e644", 
      "checksum": "md5:e0ec297be4e0378a32da2d8719579f1d", 
      "size": 993282068, 
      "key": "layer_1.zip"
    }
  ], 
  "stats": {
    "volume": 268186158360.0, 
    "unique_downloads": 27.0, 
    "version_unique_downloads": 27.0, 
    "unique_views": 273.0, 
    "downloads": 270.0, 
    "version_unique_views": 273.0, 
    "version_views": 621.0, 
    "version_downloads": 270.0, 
    "version_volume": 268186158360.0, 
    "views": 621.0
  }, 
  "links": {
    "badge": "https://rodare.hzdr.de/badge/doi/10.14278/rodare.1687.svg", 
    "doi": "https://doi.org/10.14278/rodare.1687", 
    "conceptbadge": "https://rodare.hzdr.de/badge/doi/10.14278/rodare.1686.svg", 
    "conceptdoi": "https://doi.org/10.14278/rodare.1686", 
    "bucket": "https://rodare.hzdr.de/api/files/e67cfc74-53d0-4c1e-8f1b-f520c265e644", 
    "html": "https://rodare.hzdr.de/record/1687", 
    "latest": "https://rodare.hzdr.de/api/records/1687", 
    "latest_html": "https://rodare.hzdr.de/record/1687"
  }, 
  "owners": [
    568
  ], 
  "metadata": {
    "doc_id": "1", 
    "title": "Dataset for Inversion of GISAXS data (1 layer)", 
    "access_right_category": "success", 
    "communities": [
      {
        "id": "matter"
      }, 
      {
        "id": "rodare"
      }
    ], 
    "creators": [
      {
        "affiliation": "Helmholtz-Zentrum Dresden Rossendorf", 
        "name": "Zhdanov, Maksim", 
        "orcid": "0000-0003-3832-2577"
      }, 
      {
        "affiliation": "Forschungszentrum J\u00fclich GmbH, J\u00fclich Centre for Neutron Science (JCNS) at Heinz Maier-Leibnitz Zentrum (MLZ), Garching, Germany", 
        "name": "Ganeva, Marina"
      }, 
      {
        "affiliation": "Department Physik, Universit\u00e4t Siegen, Siegen, Germany", 
        "name": "Randolph, Lisa"
      }, 
      {
        "affiliation": "Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany", 
        "name": "Kluge, Thomas"
      }, 
      {
        "affiliation": "Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany", 
        "name": "Hoffmann, Nico"
      }
    ], 
    "keywords": [
      "GISAXS", 
      "Inverse problems"
    ], 
    "resource_type": {
      "type": "dataset", 
      "title": "Dataset"
    }, 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "version": "0.1", 
    "publication_date": "2022-06-07", 
    "access_right": "open", 
    "pub_id": "34769", 
    "doi": "10.14278/rodare.1687", 
    "relations": {
      "version": [
        {
          "is_last": true, 
          "count": 1, 
          "index": 0, 
          "parent": {
            "pid_value": "1686", 
            "pid_type": "recid"
          }, 
          "last_child": {
            "pid_value": "1687", 
            "pid_type": "recid"
          }
        }
      ]
    }, 
    "description": "<p>The dataset consists of 50000 X-ray diffraction patterns simulated by BornAgain [1] software. For each simulation, a multilayer sample model of the following structure was used: air, tantalum oxide, silicon dioxide, and substrate. Parameters of each layer but tantalum oxide were kept fixed. Hence, each diffraction pattern depends on the parameters of the tantalum oxide layer: real and complex part of refractive index, thickness, roughness, Hurst parameter, and correlation length. Each simulation output is stored in an h5py file consisting of 1) diffraction image as a NumPy array of shape [1024, 512]; 2) sample parameters as a NumPy array with 6 elements. For further details regarding simulation, see https://github.com/maxxxzdn/gisaxs-reconstruction/simulation/simulation.</p>\n\n<p>[1] Pospelov, G., Van Herck, W., Burle, J., Carmona Loaiza, J.M., Durniak, C., Fisher, J., Ganeva, M., Yurov, D., &amp; Wuttke, J. (2020). BornAgain: software for simulating and fitting grazing-incidence small-angle scattering.&nbsp;<em>Journal of Applied Crystallography, 53</em>, 262 - 276.</p>", 
    "related_identifiers": [
      {
        "relation": "isIdenticalTo", 
        "identifier": "https://www.hzdr.de/publications/Publ-34769", 
        "scheme": "url"
      }, 
      {
        "relation": "isVersionOf", 
        "identifier": "10.14278/rodare.1686", 
        "scheme": "doi"
      }
    ]
  }, 
  "conceptrecid": "1686", 
  "updated": "2022-06-10T11:17:34.475969+00:00", 
  "doi": "10.14278/rodare.1687", 
  "conceptdoi": "10.14278/rodare.1686"
}