Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Nieva De La Hidalga A."'
Autor:
Abraham Nieva de la Hidalga, Josephine Goodall, Richard Catlow, Corinne Anyka, Brian Matthews
Publikováno v:
Research Ideas and Outcomes, Vol 8, Iss , Pp 1-5 (2022)
A research object (RO) is defined as a semantically rich aggregation of (potentially distributed) resources that provide a layer of structure on top of information delivered as linked data (Bechhofer et al. 2013, Soiland-Reyes et al. 2022). A RO prov
Externí odkaz:
https://doaj.org/article/46d66348c96b48d4860ae2bc1e1d5dc3
Autor:
Alex Hardisty, Hannu Saarenmaa, Ana Casino, Mathias Dillen, Karsten Gödderz, Quentin Groom, Helen Hardy, Dimitris Koureas, Abraham Nieva de la Hidalga, Deborah Paul, Veljo Runnel, Xavier Vermeersch, Myriam van Walsum, Luc Willemse
Publikováno v:
Research Ideas and Outcomes, Vol 6, Iss , Pp 1-164 (2020)
DiSSCo, the Distributed System of Scientific Collections, is a pan-European Research Infrastructure (RI) mobilising, unifying bio- and geo-diversity information connected to the specimens held in natural science collections and delivering it to scien
Externí odkaz:
https://doaj.org/article/4e6b7222ee444e2e8ab0269531f25878
Autor:
Abraham Nieva de la Hidalga, Paul Rosin, Xianfang Sun, Ann Bogaerts, Niko De Meeter, Sofie De Smedt, Maarten Strack van Schijndel, Paul Van Wambeke, Quentin Groom
Publikováno v:
Biodiversity Data Journal, Vol 8, Iss , Pp 1-30 (2020)
Digitisation of natural history collections has evolved from creating databases for the recording of specimens’ catalogue and label data to include digital images of specimens. This has been driven by several important factors, such as a need to in
Externí odkaz:
https://doaj.org/article/9ff5ede7823a4fed9b9ac408827695c7
Autor:
Abraham Nieva de la Hidalga, Josephine Goodall, Corinne Anyika, Brian Matthews, C. Richard A. Catlow
Publikováno v:
Catalysis Communications, Vol 162, Iss , Pp 106384- (2022)
The UK Catalysis Hub (UKCH) is designing and implementing an infrastructure to facilitate the management of research data produced by researchers, the Catalysis Data Infrastructure (CDI). The CDI is proposed to encompass the presentation of research
Externí odkaz:
https://doaj.org/article/4d9fcb8a4dfe4d73a9c153f25ddbc8a1
The Physical Sciences Data Infrastructure (PSDI) project aims to accelerate research in the physical sciences by providing a data infrastructure that builds upon the various data systems researchers currently use. In this poster, we are presenting so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12d6864dad442911d996f1c985fbb0ff
Publikováno v:
In Journal of Loss Prevention in the Process Industries May 2014 29:300-312
Report from Case Study 1 of the Physical Sciences Data Infrastructure (PSDI) pilot phase.This case study is intended to show how the combination of existing data repositories can enable research reproducibility (and validation), reuse of data, reuse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f72de1cdc046e9cc93e13698c7d8a44
Autor:
Abraham Nieva de la Hidalga, Donato Decarolis, Shaojun Xu, Santhosh Matam, Willinton Yesid Hernández Enciso, Josephine Goodall, Brian Matthews, C. Richard A. Catlow
The UK Catalysis Hub (UKCH) is designing a virtual research environment to support data processing and analysis, the Catalysis Research Workbench (CRW). The development of this platform requires identifying the processing and analysis needs of the UK
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f62ea3726deb220f0387a669ea1a423
https://orca.cardiff.ac.uk/id/eprint/148610/2/dint_a_00143.pdf
https://orca.cardiff.ac.uk/id/eprint/148610/2/dint_a_00143.pdf
Autor:
Abraham Nieva de la Hidalga, Paul L. Rosin, Xianfang Sun, Laurence Livermore, James Durrant, James Turner, Mathias Dillen, Alicia Musson, Sarah Phillips, Quentin Groom, Alex Hardisty
Semantic segmentation has been proposed as a tool to accelerate the processing of natural history collection images. However, developing a flexible and resilient segmentation network requires an approach for adaptation which allows processing differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b1b7e9f32cd8db67abcdc766891881a
https://orca.cardiff.ac.uk/id/eprint/147699/7/Hidalga2022_Article_Cross-validationOfASemanticSeg.pdf
https://orca.cardiff.ac.uk/id/eprint/147699/7/Hidalga2022_Article_Cross-validationOfASemanticSeg.pdf
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030528287
Towards Interoperable Research Infrastructures for Environmental and Earth Sciences
Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges, 61-81
STARTPAGE=61;ENDPAGE=81;TITLE=Towards Interoperable Research Infrastructures for Environmental and Earth Sciences
Towards Interoperable Research Infrastructures for Environmental and Earth Sciences
Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges, 61-81
STARTPAGE=61;ENDPAGE=81;TITLE=Towards Interoperable Research Infrastructures for Environmental and Earth Sciences
Advances in automation, communication, sensing and computation enable experimental scientific processes to generate data at increasingly great speeds and volumes. Research infrastructures are devised to take advantage of these data, providing advance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a8f08ba89c1c29e85bf68fafc41346a
https://hdl.handle.net/11245.1/d5767fd4-f845-4914-9d55-f2505299c446
https://hdl.handle.net/11245.1/d5767fd4-f845-4914-9d55-f2505299c446