93bb37c6-ef86-4386-945d-c1a3d1e2683c English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:21:26 UK GEMINI 2.3 GDA2020/SA Lambert Component model iterations for inputs into a multi-scale model describing the effect of host conditions on Hendra virus shedding, eastern Australia, 2008-2019 2025-03-03 publication https://catalogue.ceh.ac.uk/id/93bb37c6-ef86-4386-945d-c1a3d1e2683c 10.5285/93bb37c6-ef86-4386-945d-c1a3d1e2683c doi: Kramer, A.M., Faust, C.L., Castellanos, A.A., Fischhoff, I.R., Peel, A.J., Eby, P., Ruiz-Aravena, M., Borremans, B., Plowright, R.K., Han, B.A. (2025). Component model iterations for inputs into a multi-scale model describing the effect of host conditions on Hendra virus shedding, eastern Australia, 2008-2019. NERC EDS Environmental Information Data Centre 10.5285/93bb37c6-ef86-4386-945d-c1a3d1e2683c The data provided here are model iteration objects and rasters needed to run the multi-scale modelling process and predict how the host condition affects probability of Hendra virus shedding. The dataset contains predictions of three proxies for host conditions (including food shortage, rehabilitation admissions and formation of a new roost) across eastern Australia in 2008-2019. 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). These 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. Full details about this dataset can be found at https://doi.org/10.5285/93bb37c6-ef86-4386-945d-c1a3d1e2683c Kramer, A.M. University of South Florida amkramer@usf.edu https://orcid.org/0000-0002-9031-6580 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Faust, C.L. University of Glasgow christina.faust@glasgow.ac.uk https://orcid.org/0000-0002-8824-7424 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Faust, C.L. University of Glasgow christina.faust@glasgow.ac.uk https://orcid.org/0000-0002-8824-7424 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information pointOfContact Castellanos, A.A. Cary Institute castellanosa@caryinstitute.org https://orcid.org/0000-0002-3412-0487 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Fischhoff, I.R. Cary Institute fischhoff@gmail.com https://orcid.org/0000-0001-6956-8284 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Peel, A.J. University of Sydney peby@ozemail.com.au https://orcid.org/0000-0003-3538-3550 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Eby, P. University of New South Wales a.peel@griffith.edu.au https://orcid.org/0000-0001-5441-2682 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Ruiz-Aravena, M. Cornell University mir41@msstate.edu https://orcid.org/0000-0001-8463-7858 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Borremans, B. Wildlife Health Ecology Research Organization bennyborremans@wildlifehero.org https://orcid.org/0000-0002-7779-4107 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Plowright, R.K. Cornell University rkp57@cornell.edu https://orcid.org/0000-0002-3338-6590 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Han, B.A. Cary Institute hanb@caryinstitute.org https://orcid.org/0000-0002-9948-3078 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author University of Glasgow christina.faust@glasgow.ac.uk owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian Species Distribution theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication virus GEMET - Concepts, version 4.1.3 2019-01-28 creation Australia black flying fox Hendra virus Pteropus otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Kramer, A.M., Faust, C.L., Castellanos, A.A., Fischhoff, I.R., Peel, A.J., Eby, P., Ruiz-Aravena, M., Borremans, B., Plowright, R.K., Han, B.A. (2025). Component model iterations for inputs into a multi-scale model describing the effect of host conditions on Hendra virus shedding, eastern Australia, 2008-2019. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/93bb37c6-ef86-4386-945d-c1a3d1e2683c grid 5000 English utf8 biota health 2008-01-01 2019-12-31 136.492 154.334 -44.335 -8.836 TIFF rdata NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://catalogue.ceh.ac.uk/datastore/eidchub/93bb37c6-ef86-4386-945d-c1a3d1e2683c Download the data Download a copy of this data fileAccess https://data-package.ceh.ac.uk/sd/93bb37c6-ef86-4386-945d-c1a3d1e2683c.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 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.