Webpages tagged with «Data publication»

Data and Stats Forum at NMBU MINA, 26th April 2023.

GBIF data mobilization and publication course for the Tajikistan GBIF Node at the Institute of Botany, Plant Physiology and Genetics, Tajikistan National Academy of Sciences, Tajikistan (3 days).

GBIF and OBIS (marine data infrastructure) aimed to merge infrastructure services to reduce duplication of efforts. OBIS required the WoRMS taxon LSIDs to be published as scientificNameID. The MOD database has an API towards the Worms database. The taxonomy in the Worms database is the reference taxonomy used for naming macrobenthos on the Norwegian continental shelf. All taxonomies in the MOD database were updated according to Worms. Different categories for non-compliance were gone through and updated. After updating, MOD data were exported, including the unique AphiaID from the Worms database, which is the same as the LSID referred to in OBIS. The dataset was handed over to GBIF, which published it.

Akvaplan-niva has published marine zooplankton samples from the North Atlantic and the Arctic.

Follow the live webcast from the OpenPSD workshop on the 5th of February 2020 here https://www.gbif.no/events/2020/webcast-openpsd.html. Questions can be sent by email to helpdesk@gbif.no or by connecting to the Zoom video-conference software (more login details here). Information on the consent to be part of the webcast.

Regional GBIF data mobilization course for M.Sc. and Ph.D. students with expert trainers and trainers-in-training - Ukraine (4 days). More information from the course home page. Postponed course dates because of the Russian war in Ukraine. The new course dates are 15 to 19 August 2022.

Regional GBIF data mobilization course for M.Sc. and Ph.D. students with expert trainers and trainers-in-training - Yerevan, Armenia (5 days). More information from the course home page.

A new report summarizes results from cooperation among all the Nordic countries during the period 2015 – 2019. The work has focused on the conservation of Crop Wild Relatives (CWR), i.e. wild plant species closely related to crops, including establishing the data flow through the GBIF data infrastructure.

Full-day workshop 3. July 2018 for improving the data export from the national University Museum database system to Darwin Core for import to GBIF. By invitation (but participation is possible if you express interest and describe your contribution).