Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Robyn Crowther"'
Autor:
Beulah H. Garner, Thomas J. Creedy, Elizabeth L. Allan, Robyn Crowther, Elizabeth Devenish, Phaedra Kokkini, Laurence Livermore, Krisztina Lohonya, Nicola Lowndes, Peter Wing, Alfried P. Vogler
Publikováno v:
Frontiers in Ecology and Evolution, Vol 12 (2024)
IntroductionHistoric museum collections hold a wealth of biodiversity data that are essential to our understanding of the rapidly changing natural world. Novel curatorial practices are needed to extract and digitise these data, especially for the inn
Externí odkaz:
https://doaj.org/article/fb11107cc9e145f882d526c9e9aa9527
Publikováno v:
Biodiversity Data Journal, Vol 10, Iss , Pp 1-28 (2022)
In 2018, the Natural History Museum (NHMUK, herbarium code: BM) undertook a pilot digitisation project together with the Royal Botanic Gardens Kew (project Lead) and the Royal Botanic Garden Edinburgh to collectively digitise non-type herbarium mater
Externí odkaz:
https://doaj.org/article/10ac562674b34ad2a01f3082732cb6ab
Autor:
Vladimir Blagoderov, Malcolm Penn, Mike Sadka, Adrian Hine, Stephen Brooks, Darrell Siebert, Chris Sleep, Steve Cafferty, Elisa Cane, Geoff Martin, Flavia Toloni, Peter Wing, John Chainey, Liz Duffell, Rob Huxley, Sophie Ledger, Caitlin McLaughlin, Gerardo Mazzetta, Jasmin Perera, Robyn Crowther, Lyndsey Douglas, Joanna Durant, Elisabetta Scialabba, Martin Honey, Blanca Huertas, Theresa Howard, Victoria Carter, Sara Albuquerque, Gordon Paterson, Ian Kitching
Publikováno v:
Biodiversity Data Journal, Vol 5, Iss , Pp 1-25 (2017)
The Natural History Museum, London (NHMUK) has embarked on an ambitious programme to digitise its collections. The first phase of this programme was to undertake a series of pilot projects to develop the workflows and infrastructure needed to support
Externí odkaz:
https://doaj.org/article/c9c95e2f505f4059b6da2c8153043c82
Publikováno v:
Biodiversity Data Journal 10: e94939
In 2018, the Natural History Museum (NHMUK, herbarium code: BM) undertook a pilot digitisation project together with the Royal Botanic Gardens Kew (project Lead) and the Royal Botanic Garden Edinburgh to collectively digitise non-type herbarium mater
Autor:
Rob Huxley, Darrell J. Siebert, Caitlin McLaughlin, Liz Duffell, Martin R. Honey, Theresa M. Howard, Lyndsey Douglas, Gerardo Mazzetta, Mike Sadka, Stephen J. Brooks, Flavia Toloni, Sophie Ledger, Joanna Durant, Malcolm G. Penn, Ian J. Kitching, Adrian Hine, Chris Sleep, Elisa Cane, Victoria Carter, Vladimir Blagoderov, Steve Cafferty, Robyn Crowther, Gordon L.J. Paterson, Elisabetta Scialabba, Sara Albuquerque, Jasmin Perera, John E. Chainey, Peter Wing, Blanca Huertas, Geoff Martin
Publikováno v:
Biodiversity Data Journal
Biodiversity Data Journal, Vol 5, Iss, Pp 1-1 (2017)
Biodiversity Data Journal 5: e21277
Biodiversity Data Journal, Vol 5, Iss, Pp 1-25 (2017)
Biodiversity Data Journal 5: e19893
Biodiversity Data Journal, Vol 5, Iss, Pp 1-1 (2017)
Biodiversity Data Journal 5: e21277
Biodiversity Data Journal, Vol 5, Iss, Pp 1-25 (2017)
Biodiversity Data Journal 5: e19893
The Natural History Museum, London (NHMUK) has embarked on an ambitious programme to digitise its collections. The first phase of this programme was to undertake a series of pilot projects to develop the workflows and infrastructure needed to support
Autor:
Rob Huxley, Darrell J. Siebert, Sara Albuquerque, Joanna Durant, Angela Self, Peter Wing, Robyn Crowther, Blanca Huertas, Malcolm G. Penn, Adrian Hine, Elisa Cane, Vladimir Blagoderov, Lyndsey Douglas, Victoria Carter, Martin R. Honey, Gerardo Mazzetta, Theresa M. Howard, Mike Sadka, Chris Sleep, Elisabetta Scialabba, Geoff Martin, Steve Cafferty, Stephen J. Brooks, Flavia Toloni, Ian J. Kitching, Jasmin Perera, John E. Chainey, Liz Duffell, Caitlin McLaughlin, Sophie Ledger, Gordon L.J. Paterson
Publikováno v:
Biodiversity Data Journal 4: e9559
Biodiversity Data Journal
Biodiversity Data Journal, Vol 4, Iss, Pp 1-21 (2016)
Biodiversity Data Journal
Biodiversity Data Journal, Vol 4, Iss, Pp 1-21 (2016)
Background The Natural History Museum, London (NHMUK) has embarked on an ambitious programme to digitise its collections . The first phase of this programme has been to undertake a series of pilot projects that will develop the necessary workflows an
Autor:
Sophie Ledger, Nicholas Guttenberg, Robyn Crowther, Blanca Huertas, Jennifer F. Hoyal Cuthill
Publikováno v:
Science Advances
Traditional anatomical analyses captured only a fraction of real phenomic information. Here, we apply deep learning to quantify total phenotypic similarity across 2468 butterfly photographs, covering 38 subspecies from the polymorphic mimicry complex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17da53017f4ea7a1cc6d46483ee35846
http://eprints.esc.cam.ac.uk/4522/1/Hoyal_Cuthill190814.pdf
http://eprints.esc.cam.ac.uk/4522/1/Hoyal_Cuthill190814.pdf