Image‐based machine learning tools are an ascendant 'big data'research avenue. Citizen science platforms, like iNaturalist, and museum‐led initiatives provide researchers with an …
W Liu, Y Fu, Q Liu - Data Intelligence, 2023 - direct.mit.edu
Metadata is data about data, which is generated mainly for resources organization and description, facilitating finding, identifying, selecting and obtaining information. With the …
Metadata is a key data source for researchers seeking to apply machine learning (ML) to the vast collections of digitized biological specimens that can be found online. Unfortunately, the …
Metadata are key descriptors of research data, particularly for researchers seeking to apply machine learning (ML) to the vast collections of digitized specimens. Unfortunately, the …
Flexible metadata pipelines are crucial for supporting the FAIR data principles. Despite this need, researchers seldom report their approaches for identifying metadata standards and …
Researchers seeking to apply computational methods are increasingly turning to scientific digital archives containing images of specimens. Unfortunately, metadata errors can inhibit …
A Romero-Marcucci… - Revista Científica …, 2024 - revistas.unachi.ac.pa
The first record in Central America of the species Oxyrhopus occipitalis (Wied-Neuwied, 1824)(Serpentes, Dipsadidae) is presented, with a juvenile collected and photographic …
DE Breen, A Senin, A Levere, J Pepper… - … Conference on Big …, 2023 - ieeexplore.ieee.org
Computational archival science (CAS) provides new pathways for research. Biologists, for example, can perform scientific studies by applying AI/ML to digital biological specimen …
R Riedel - Journal of Northwest Atlantic Fishery Science, 2023 - par.nsf.gov
Discards from commercial fisheries have been linked to detrimental effects on ecosystems and stocks of living marine resources. Understanding spatial and temporal patterns of …