{
    "@context": "http://schema.org/",
    
      "@type": "Dataset",
    
    
    "@id": "https://antcat.antarcticanz.govt.nz/geonetwork/srv/api/records/203387ef-ac62-4fea-84c4-17e52e21a2b8",
    "includedInDataCatalog":[{"@type":"DataCatalog","url":"https://antcat.antarcticanz.govt.nz/geonetwork/srv/search#","name":""}],
    
    "inLanguage":"eng",
    
    "name": "Antarctic Moss Species Distribution Predictions Using Log-Gaussian Cox Process Models",

    
    "alternateName": [
    ],
    "dateCreated": [
    
      "2025-11-24T10:59:26+13:00"],
    "dateModified": [
    ],
    "datePublished": [
    
      "2025-11-24T10:59:27+13:00"],
    "thumbnailUrl": [
    
      "https://antcat.antarcticanz.govt.nz/geonetwork/srv/api/records/203387ef-ac62-4fea-84c4-17e52e21a2b8/attachments/asp_crop.png"],
    "description": "This dataset provides continent-wide predictions of moss species distributions across Antarctica, derived using Log-Gaussian Cox Process (LGCP) models. Occurrence records for 28 moss species were combined with key environmental covariates, including topographic wetness index, distance to seabird colonies, and surface temperature, to generate spatially explicit distribution estimates. The resulting bias-corrected predictions are supplied as shapefiles representing modeled presence probability surfaces and derived species-richness layers.\n\nGET DATA: https:\/\/doi.org\/10.5061\/dryad.wstqjq2zf\n\nRelated Publication:\nKoerich, G., Lai, H.R., Lee, C.K., Morgan, F.J. and Tonkin, J.D. (2025), Proximity to seabird colonies and water availability shape moss distributions in Antarctica. Ecography e08166. https:\/\/doi.org\/10.1002\/ecog.08166",

    
    
    
      "identifier": "https://doi.org/10.5061/dryad.wstqjq2zf",
    


    
    "keywords":[
    "","SPECIES DISTRIBUTION","MOSSES\/HORNWORTS\/LIVERWORTS","COMPUTERS","Models","Environmental Modeling","ANTARCTICA","ANTARCTIC PENINSULA","ASP"
    ]


    
    ,"creator": [

          {
          
          
          "@type":"Person"
          
            ,"name": "Koerich, G."
            ,"email":  ["gabrielle.koerich@eawag.ch"]
          

          
          ,"contactPoint": {
          "@type" : "PostalAddress"
          
          }
          }

          ]
        ,"publisher": [

          {
          

          
          "@type":"Organization"
          
            ,"name": "DRYAD"
            ,"email":  [""]
          

          
          ,"contactPoint": {
          "@type" : "PostalAddress"
          
          }
          }


          ]

        

    
    
    ,"distribution": [
    
      {
      "@type":"DataDownload",
      "contentUrl": "https:\/\/doi.org\/10.5061\/dryad.wstqjq2zf",
      "encodingFormat": "WWW:LINK-1.0-http--link",
      "name": "Distribution Metadata"
      
      }]
    
      ,"encodingFormat": [
      
      ]
    


    ,"spatialCoverage": [
    
      {"@type":"Place",
      "description": [
      
      ],
      "geo": [
      
        {"@type":"GeoShape",
        "box": "-90.00 -160.00 -55.00 -40.00"
        },
        {"@type":"GeoShape",
        "box": "-90.00 40.00 -55.00 160.00"
        }
      ]
      }]

    ,"temporalCoverage": [
    
      "2025-11-01/2025-11-01"
      ]


    
      ,"license": [
          {
          "@type": "CreativeWork",
          "name": "This data set conforms to the CC BY Attribution License (https:\/\/creativecommons.org\/licenses\/by\/4.0\/)"
          }
        ]
    
    
    
    

    , "citation": "Koerich, G., Ran Lai, H.,  (
    2025
    ) Antarctic Moss Species Distribution Predictions Using Log-Gaussian Cox Process Models.
    DRYAD.
        https://doi.org/10.5061/dryad.wstqjq2zf,
    Accessed: 2026-07-07+12:00"

    }