Dataset Open Access

Artificial COVID-19 Cases in Paris and Geographic Data Useful for Geomasking

Guillaume Touya; Walid Houfaf-Khoufaf


JSON-LD (schema.org) Export

{
  "inLanguage": {
    "alternateName": "fra", 
    "@type": "Language", 
    "name": "French"
  }, 
  "description": "<p>Artificial dataset of addresses of COVID-19 cases in Paris. The dataset was created to test geomasking techniques to be used on the real data collected by the French health administration. The dataset was used in the paper &quot;Geographically Masking Addresses to Study COVID-19 Clusters&quot; by Walid Houfaf-Khoufaf and Guillaume Touya. The dataset contains the following files:</p>\n\n<ul>\n\t<li>roads_paris_IGN.shp contains the road lines from IGN France in Paris;</li>\n\t<li>buildings_paris_IGN.shp contains the building polygons from IGN France in Paris (useful to aggregate points to building groups);</li>\n\t<li>faces.shp contains the blocks built from the roads (useful to aggregate points to blocks);</li>\n\t<li>ban_75.shp contains all the address points in Paris from the open BAN database.</li>\n\t<li>artificial_COVID_cases.csv&nbsp; contains the artificial COVID cases generated from 3 months in 2020 in the Paris area.</li>\n</ul>\n\n<p>&nbsp;</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "LASTIG, IGN, Univ Gustave Eiffel", 
      "@id": "https://orcid.org/0000-0001-6113-6903", 
      "@type": "Person", 
      "name": "Guillaume Touya"
    }, 
    {
      "affiliation": "ENSG, Univ Gustave Eiffel", 
      "@type": "Person", 
      "name": "Walid Houfaf-Khoufaf"
    }
  ], 
  "url": "https://zenodo.org/record/4498855", 
  "datePublished": "2021-02-03", 
  "version": "1", 
  "keywords": [
    "COVID-19", 
    "Geomasking"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/cd85de71-3c5e-4888-b5e4-4990400a10e0/artificial_COVID_cases.csv", 
      "encodingFormat": "csv", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/cd85de71-3c5e-4888-b5e4-4990400a10e0/ban_75.dbf", 
      "encodingFormat": "dbf", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/cd85de71-3c5e-4888-b5e4-4990400a10e0/ban_75.prj", 
      "encodingFormat": "prj", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/cd85de71-3c5e-4888-b5e4-4990400a10e0/ban_75.qpj", 
      "encodingFormat": "qpj", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/cd85de71-3c5e-4888-b5e4-4990400a10e0/ban_75.shp", 
      "encodingFormat": "shp", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/cd85de71-3c5e-4888-b5e4-4990400a10e0/ban_75.shx", 
      "encodingFormat": "shx", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/cd85de71-3c5e-4888-b5e4-4990400a10e0/buildings_IGN.dbf", 
      "encodingFormat": "dbf", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/cd85de71-3c5e-4888-b5e4-4990400a10e0/buildings_IGN.prj", 
      "encodingFormat": "prj", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/cd85de71-3c5e-4888-b5e4-4990400a10e0/buildings_IGN.shp", 
      "encodingFormat": "shp", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/cd85de71-3c5e-4888-b5e4-4990400a10e0/buildings_IGN.shx", 
      "encodingFormat": "shx", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/cd85de71-3c5e-4888-b5e4-4990400a10e0/faces.dbf", 
      "encodingFormat": "dbf", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/cd85de71-3c5e-4888-b5e4-4990400a10e0/faces.prj", 
      "encodingFormat": "prj", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/cd85de71-3c5e-4888-b5e4-4990400a10e0/faces.shp", 
      "encodingFormat": "shp", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/cd85de71-3c5e-4888-b5e4-4990400a10e0/faces.shx", 
      "encodingFormat": "shx", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/cd85de71-3c5e-4888-b5e4-4990400a10e0/roads_paris_IGN.dbf", 
      "encodingFormat": "dbf", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/cd85de71-3c5e-4888-b5e4-4990400a10e0/roads_paris_IGN.prj", 
      "encodingFormat": "prj", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/cd85de71-3c5e-4888-b5e4-4990400a10e0/roads_paris_IGN.shp", 
      "encodingFormat": "shp", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/cd85de71-3c5e-4888-b5e4-4990400a10e0/roads_paris_IGN.shx", 
      "encodingFormat": "shx", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.4498855", 
  "@id": "https://doi.org/10.5281/zenodo.4498855", 
  "@type": "Dataset", 
  "name": "Artificial COVID-19 Cases in Paris and Geographic Data Useful for Geomasking"
}
25
85
views
downloads
All versions This version
Views 2525
Downloads 8585
Data volume 1.7 GB1.7 GB
Unique views 2424
Unique downloads 4848

Share

Cite as