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Henry Engledow

Person

  1. 2024
  2. Journeys trough Botany, on the road with King Amaryllo: bee walk. / Postma, Susan; Es, Koen C.R.; Verwaeren, Leen et al.
    24 p. 2024.

    Research output: Other contribution

  3. Ten lessons learned from the mass digitisation of a herbarium collection. / Smedt, Sofie De; Bogaerts, Ann; Meeter, Niko De et al.
    In: PhytoKeys, Vol. 244, 2024, p. 23-37.

    Research output: Contribution to journalA1: Web of Science-articlepeer-review

  4. 2022
  5. poster, Sofie De Smedt: Mass Digitisation of the Meise Botanic Garden Herbarium (BR). / De Smedt, Sofie; Bogaerts, Ann; Engledow, Henry et al.
    ?. 2022.

    Research output: Chapter in Book/Report/Conference proceedingC3: Conference Abstract

  6. Algoliterary Publishing. Engledow, Henry (Adviser); Mertens, An (Designer). 2022.

    Research output: Non-textual formExhibition - Other

  7. Oral presentation, Henry Engledow: Data cleaning an iterative process: lessons learned from the second mass digitization project at Meise Botanic Garden. / Engledow, Henry; Bogaerts, Ann; De Smedt, Sofie et al.
    Society for the Preservation of Natural History Collections (SPNHC) - Annual Meeting 2022. 2022.

    Research output: Chapter in Book/Report/Conference proceedingC3: Conference Abstractpeer-review

  8. Oral presentation, Henry Engledow: Herbarium Specimen Label Interpretation and Transcription: First steps used to clean digitized data. / Engledow, Henry.
    Biodiversity Information Standards Annual Conference 2022: Stronger Together: standards for linking biodiversity data. 2022.

    Research output: Chapter in Book/Report/Conference proceedingC3: Conference Abstractpeer-review

  9. Making the most out of your collection data to assess the extinction risk of endemic plant species. / Tack, Wesley; Engledow, Henry; Sosef, Marc[us] Simon Maria .
    2022. Abstract from Society for the Preservation of Natural History Collections , Edingburgh, United Kingdom.

    Research output: Contribution to conferencePublished abstract

  10. The ECAT dataset: expert-validated distribution data of endemic and sub-endemic trees of Central Africa (Dem. Rep. Congo, Rwanda, Burundi). / Tack, Wesley; Engledow, Henry; Pereira, Nuno Verissimo et al.
    In: PhytoKeys, Vol. 206, 16.09.2022, p. 137-151.

    Research output: Contribution to journalA1: Web of Science-articlepeer-review

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