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SpeciesGeoCoder: Fast categorisation of species occurrences for analyses of biodiversity, biogeography, ecology and evolution

Mats Töpel, Maria Fernanda Calió, Alexander Zizka, Ruud Scharn, Daniele Silvestro, Alexandre Antonelli
doi: https://doi.org/10.1101/009274
Mats Töpel
1University of Gothenburg, Department of Biological and Environmental Sciences, Box 461, SE-405 30 Göteborg, Sweden
2Bioinformatics Infrastructure for Life Sciences,
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  • For correspondence: mats.topel@bioenv.gu.se alexandre.antonelli@bioenv.gu.se
Maria Fernanda Calió
1University of Gothenburg, Department of Biological and Environmental Sciences, Box 461, SE-405 30 Göteborg, Sweden
3Universidade de São Paulo, Instituto de Biociências, Departamento de Botânica, Rua do Matão, 277 - Cidade Universitária, CEP: 05508-090, São Paulo, SP, Brazil
4Universidade Federal de São Carlos, Departamento de Botânica, CEP: 13565-905, São Carlos, SP, Brazil
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Alexander Zizka
1University of Gothenburg, Department of Biological and Environmental Sciences, Box 461, SE-405 30 Göteborg, Sweden
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Ruud Scharn
1University of Gothenburg, Department of Biological and Environmental Sciences, Box 461, SE-405 30 Göteborg, Sweden
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Daniele Silvestro
1University of Gothenburg, Department of Biological and Environmental Sciences, Box 461, SE-405 30 Göteborg, Sweden
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Alexandre Antonelli
1University of Gothenburg, Department of Biological and Environmental Sciences, Box 461, SE-405 30 Göteborg, Sweden
5Gothenburg Botanical Garden, Carl Skottsbergs gata 22A, SE-41319, Göteborg, Sweden
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  • For correspondence: mats.topel@bioenv.gu.se alexandre.antonelli@bioenv.gu.se
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Article Information

doi 
https://doi.org/10.1101/009274
History 
  • September 18, 2014.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Mats Töpel1,2,*,
  2. Maria Fernanda Calió1,3,4,
  3. Alexander Zizka1,
  4. Ruud Scharn1,
  5. Daniele Silvestro1 and
  6. Alexandre Antonelli1,5,*
  1. 1University of Gothenburg, Department of Biological and Environmental Sciences, Box 461, SE-405 30 Göteborg, Sweden
  2. 2Bioinformatics Infrastructure for Life Sciences, www.bils.se
  3. 3Universidade de São Paulo, Instituto de Biociências, Departamento de Botânica, Rua do Matão, 277 - Cidade Universitária, CEP: 05508-090, São Paulo, SP, Brazil
  4. 4Universidade Federal de São Carlos, Departamento de Botânica, CEP: 13565-905, São Carlos, SP, Brazil
  5. 5Gothenburg Botanical Garden, Carl Skottsbergs gata 22A, SE-41319, Göteborg, Sweden
  1. ↵*Corresponding authors; mats.topel{at}bioenv.gu.se, alexandre.antonelli{at}bioenv.gu.se
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Posted September 18, 2014.
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SpeciesGeoCoder: Fast categorisation of species occurrences for analyses of biodiversity, biogeography, ecology and evolution
Mats Töpel, Maria Fernanda Calió, Alexander Zizka, Ruud Scharn, Daniele Silvestro, Alexandre Antonelli
bioRxiv 009274; doi: https://doi.org/10.1101/009274
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SpeciesGeoCoder: Fast categorisation of species occurrences for analyses of biodiversity, biogeography, ecology and evolution
Mats Töpel, Maria Fernanda Calió, Alexander Zizka, Ruud Scharn, Daniele Silvestro, Alexandre Antonelli
bioRxiv 009274; doi: https://doi.org/10.1101/009274

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