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The Roost Species Distribution Model (SDM) has predictions of roost suitability. These are monthly, spatially explicit predictions of particular conditions or probability of roost occupations. The model objects are iterations of models that were initially trained on data held in figshare (https://figshare.com/s/ddb5a1584609b20f6596).\nThese data objects are linked with code provided at https://github.com/hanlab-ecol/BatOneHealth to be able to run the models and analyses. This includes comparisons of virus predictions of seven different multiscale model structures to observed Hendra virus shedding in field surveys. The purpose of this study was to determine if quantifying and incorporating host condition into epidemiological models improves predictions of virus shedding in space and time. The data objects relate to the 1,000 iterations run of this process to better able to account for uncertainty.","distributionFormats":[{"name":"TIFF","type":"image/tiff","version":"unknown"},{"name":"rdata","version":"unknown"}],"distributorContacts":[{"organisationName":"NERC EDS Environmental Information Data Centre","organisationIdentifier":"https://ror.org/04xw4m193","role":"distributor","email":"info@eidc.ac.uk"}],"funding":[{"funderName":"U.S. Defense Advanced Research Projects Agency ","funderIdentifier":"https://ror.org/02caytj08","awardNumber":"PREEMPT D18AC00031","orcid":false,"ror":true},{"funderName":"U.S. National Science Foundation EEID program ","funderIdentifier":"https://ror.org/021nxhr62","awardNumber":"DEB-1717282","awardURI":"https://www.nsf.gov/awardsearch/showAward?AWD_ID=1717282&HistoricalAwards=false","orcid":false,"ror":true},{"funderName":"Natural Environment Research Council","funderIdentifier":"https://ror.org/02b5d8509","awardNumber":"NE/V014730/1","awardURI":"https://gtr.ukri.org/projects?ref=NE/V014730/1","orcid":false,"ror":true},{"funderName":"U.S. National Science Foundation CNH","funderIdentifier":"https://ror.org/021nxhr62","awardNumber":"DEB-1716698","awardURI":"https://www.nsf.gov/awardsearch/showAward?AWD_ID=1716698&HistoricalAwards=false","orcid":false,"ror":true},{"funderName":"U.S. National Science Foundation Rules of Life","funderIdentifier":"https://ror.org/021nxhr62","awardNumber":"EF-2133763","awardURI":"https://www.nsf.gov/awardsearch/showAward?AWD_ID=2133763","orcid":false,"ror":true},{"funderName":"U.S. National Science Foundation Rules of Life","funderIdentifier":"https://ror.org/021nxhr62","awardNumber":"EF-2231624","awardURI":"https://www.nsf.gov/awardsearch/showAward?AWD_ID=2231624&HistoricalAwards=false","orcid":false,"ror":true}],"hasOnlineServiceAgreement":false,"id":"93bb37c6-ef86-4386-945d-c1a3d1e2683c","incomingCitationCount":0,"infoLinks":[{"url":"https://data-package.ceh.ac.uk/sd/93bb37c6-ef86-4386-945d-c1a3d1e2683c.zip","name":"Supporting information","description":"Supporting information available to assist in re-use of this dataset","function":"information","type":"OTHER"}],"inspireThemes":[{"theme":"Species Distribution","uri":"http://inspire.ec.europa.eu/theme/sd"}],"keywordsOther":[{"value":"black flying fox"},{"value":"virus","uri":"http://www.eionet.europa.eu/gemet/concept/8976"},{"value":"Hendra virus"},{"value":"Pteropus"}],"keywordsPlace":[{"value":"Australia"}],"licences":[{"value":"This resource is available under the terms of the Open Government Licence","code":"license","uri":"https://eidc.ac.uk/licences/ogl/plain"}],"lineage":"Each of the data objects (1,000 per component model) is related to training a component model using data sampled with replacement. These data objects are trained on field observations of host conditions (food shortage, rehabilitation admissions or formation of new roost) or locations and occupation of roost by black flying foxes (key Hendra virus host). Model parameters, predictor variables, and training are all described in the supplementary information. Each iteration only differs slightly in the training and testing data due to this resampling with replacement, allowing for slight variation in prediction among the runs. 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