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GBIF Occurrence Download
- 负责人：
- DOI：
- doi:10.15468/dl.z87yfv
- 摘要：
- [2006-2008]. 6 records from UF Invertebrate Zoology. 3231 records from Banco de Datos de la Biodiversidad de la Comunitat Valenciana. 10 records from
GBIF Occurrence Download
- 负责人：
- DOI：
- doi:10.15468/dl.bmiamp
- 摘要：
- DOF. 17 records from Gunma Museum of Natural History, Mammal Specimen. 4 records from DOF 2001-2006. 2 records from Geographically tagged INSDC
GBIF Occurrence Download
- 负责人：
- DOI：
- doi:10.15468/dl.ckewue
- 摘要：
- -AF2015-0066-REG project funded by EU. 12 records from Inventario de corales pétreos, anélidos, crustáceos decápodos, moluscos, equinodermos y peces óseos
GBIF Occurrence Download
- 负责人：
- DOI：
- doi:10.15468/dl.o8zhik
- 摘要：
- of the threatened species of Benin. Data mobilized in the framework of BID-AF2015-0066-REG project funded by EU. 1 records from MBML-Peixes - Cole??o de Peixes. 2 records
Data from: Effective implementation of age restrictions increases selectivity of sport hunting of the African lion
- 负责人：
- DOI：
- doi:10.5061/dryad.17fk2
- 摘要：
- ) trophy individuals’ ages pre- and post-mortem, respectively. Analysis of 138 lion hunts and 87 lion trophies from 2003-2015 revealed that after enforcement
Data from: Incorporating sampling uncertainty in the geospatial assignment of taxa for virus phylogeography
- 负责人：
- DOI：
- doi:10.5061/dryad.7jr85rj
- 摘要：
- Discrete phylogeography using software such as BEAST considers the sampling location of each taxon as fixed; often to a single location without uncertainty. When studying viruses, this implies that there is no possibility that the location of the infected host for that taxa is somewhere else. Here, we relaxed this strong assumption and allowed for analytic integration of uncertainty for discrete virus phylogeography. We used automatic language processing methods to find and assign uncertainty to alternative potential locations. We considered two influenza case studies: H5N1 in Egypt; H1N1 pdm09 in North America. For each, we implemented scenarios in which 25% of the taxa had different amounts of sampling uncertainty including 10%, 30%, and 50% uncertainty and varied how it was distributed for each taxon. This includes scenarios that: (i) placed a specific amount of uncertainty on one location while uniformly distributing the remaining amount across all other candidate locations (correspondingly labeled 10, 30, and 50); (ii) assigned the remaining uncertainty to just one other location; thus “splitting” the uncertainty among two locations (i.e. 10/90, 30/70, and 50/50) and; (iii) eliminated uncertainty via two pre-defined heuristic approaches: assignment to a centroid location (CNTR) or the largest population in the country (POP). We compared all scenarios to a reference standard in which all taxa had known (absolutely certain) locations. From this, we implemented five random selections of 25% of the taxa and used these for specifying uncertainty. We performed posterior analyses for each scenario, including: (a) virus persistence, (b) migration rates, (c) trunk rewards, and (d) the posterior probability of the root state. The scenarios with sampling uncertainty were closer to the reference standard than CNTR and POP. For H5N1, the absolute error of virus persistence had a median range of 0.005 – 0.047 for scenarios with sampling uncertainty – (i) and (ii) above - versus a range of 0.063 – 0.075 for CNTR and POP. Persistence for the pdm09 case study followed a similar trend as did our analyses of migration rates across scenarios (i) and (ii). When considering the posterior probability of the root state, we found all but one of the H5N1 scenarios with sampling uncertainty had agreement with the reference standard on the origin of the outbreak whereas both CNTR and POP disagreed. Our results suggest that assigning geospatial uncertainty to taxa benefits estimation of virus phylogeography as compared to ad-hoc heuristics. We also found that, in general, there was limited difference in results regardless of how the sampling uncertainty was assigned; uniform distribution or split between two locations did not greatly impact posterior results. This framework is available in BEAST v.1.10. In future work, we will explore viruses beyond influenza. We will also develop a web interface for researchers to use our language processing methods to find and assign uncertainty to alternative potential locations for virus phylogeography.
GBIF Occurrence Download
- 负责人：
- DOI：
- doi:10.15468/dl.0qcgxu
- 摘要：
- Tua: Arthropoda \u2013 Environmental Impact Assessment [2006-2008]. 6 records from UF Invertebrate Zoology. 3232 records from Banco de Datos de la
GBIF Occurrence Download
- 负责人：
- DOI：
- doi:10.15468/dl.u3acdz
- 摘要：
- Tua: Arthropoda \u2013 Environmental Impact Assessment [2006-2008]. 6 records from UF Invertebrate Zoology. 3232 records from Banco de Datos de la
GBIF Occurrence Download
- 负责人：
- DOI：
- doi:10.15468/dl.8w4no7
- 摘要：
- , the Biodiversity Information System for Cheshire, Halton, Warrington and the Wirral - RECORD other mammal data up to current day. 4 records from DOF 2001-2006
GBIF Occurrence Download
- 负责人：
- DOI：
- doi:10.15468/dl.z3nvek
- 摘要：
- [2006-2008]. 61 records from Biodiversity Research and Teaching Collections - TCWC Marine Invertebrates. 2 records from Recent Invertebrates Specimens
