Francisco Pando
  • Investigador titular
  • Línea de investigación: Hongos y briófitos
  • Grupo de Investigación:

    Biodiversidad, biogeografía y sistemática molecular de hongos.

  • Selección de publicaciones
  • Assou, D.; Segniagbeto, G.H.; Radji, R.; Akiti, J.; Pando, F. 2018. Monitoring data of marine turtles on the Togolese coast during 2012–2013. ZooKeys 779:109-118. 

    https://doi.org/10.3897/zookeys.779.26967
  • Pando, F. 2018. Comparison of species information TDWG standards from the point of view of the Plinian Core specification. Biodiversity Information Science and Standards 2:e25869. 

    https://doi.org/10.3897/biss.2.25869
  • Pando, F.; Heredia I, Aedo, C.; Velayos, M.; lloreet, I.; Calvo, J. 2018. Deep learning for weed identification based on seed images. Biodiversity Information Science and Standards 2:25749. 

    https://doi.org/10.3897/biss.2.25749
  • Radji, R.; Adjonou, K.; Quashie. M.L.A.; Sodjinou, K.E.; Pando, F.; Kokou, K. 2018. Togo National Herbarium database. PhytoKeys 109:1-16. 

    https://doi.org/10.3897/phytokeys.109.25385
  • Aedo, C.; Pando, F. 2017. A distribution and taxonomic reference dataset of Geranium in the New World. Scientific Data 4: e170049.

    https://doi.org/10.1038/sdata.2017.49
  • Heredia, I.; Lloret, L.; Marco, J.; Pando, F. 2017. A workbench for species identification based on images and deep learning techniques. Biodiversity Information Science and Standards 1:e20569. 

    https://doi.org/10.3897/tdwgproceedings.1.20569
  • Izquierdo, J.L.; Pando, F. 2017. The algae names and collection of the Spanish Phycologist Pedro González Guerrero. Anales del Jardin Botanico de Madrid 74(1):e47.

    https://doi.org/10.3989/ajbm.2462
  • Pando, F. 2017. Quantifying quality: the "Apparent Quality Index", a measure of data quality for occurrence datasets. Biodiversity Information Science and Standards 1:e20533. 

    https://doi.org/10.3897/tdwgproceedings.1.20533
  • Pando F.; Dueñas M.; Lado C.; Telleria M.T. 2016. The Flora Mycologica Iberica Project fungi occurrence dataset. MycoKeys 15:59-72.

    https://doi.org/10.3897/mycokeys.15.9765
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