Search results for "Darwin Core"

showing 2 items of 2 documents

Keeping Track of Samples in Multidisciplinary Fieldwork

2021

We here present methods, tools and results for efficiently collecting metadata and tracking samples collected in the field. The samples and metadata were collected during scientific cruises conducted by amongst others marine biologists, oceanographers, geochemists and marine geologists in the Nansen Legacy project. It is here reported on the successful development and implementation of a system for labeling, tracking and openly publishing metadata from the cruises. The results and tools have been made openly available, as they are suitable for a range of situations, from the individual scientist working in the field to large research missions.

EngineeringScience (General)business.industryData managementmetadatadata managmentData management marine sciencesVDP::Matematikk og Naturvitenskap: 400Data managment; Sample tracking; Metadata; Darwin Core; CF Standard NamesTrack (rail transport)sample trackingData scienceComputer Science ApplicationsMetadataQ1-390cf standard namesMultidisciplinary approachdarwin coreComputer Science (miscellaneous)Sample trackingDarwin CorebusinessData Science Journal
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A georeferenced dataset of Italian occurrence records of the phylum Rotifera

2023

We report a dataset of known and published occurrence records of Italian taxa from species (and subspecies) to family rank of the phylum Rotifera; we considered only Bdelloidea, Monogononta, and Seisonacea, and did not include Acanthocephala. The dataset in-cludes 15,525 records (12,015 of which with georeferenced coordinates) of 584 valid species and subspecies names and other taxa at family level, gathered from 332 published papers. The published literature spans the period from 1838 to 2022, with the lowest number of papers published during the first half of the twentieth century, followed by an increasing number of papers, from 20 to more than 60 in each decade. The Italian regions with…

Settore BIO/05 - ZOOLOGIAItalyEcologyoccurrence datasetAquatic ScienceDarwin Core GBIFrotifersWater Science and Technology
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