Webpages tagged with «data publication»

Published Jan. 12, 2021 10:20 AM

DNV-GL will publish marine benthic fauna data from the Norwegian continental shelf. The project will develop APIs to enable efficient data flow to GBIF. The database is the data repository for environmental impact and biodiversity monitoring data from a number of sub-contractors and is funded by the Norwegian Oil and Gas and the Norwegian Environment Agency.

Published Jan. 12, 2021 10:20 AM

Akvaplan-niva will publish marine zooplankton from the North Atlantic and the Arctic, and fresh-water species from the north of Norway. Species data originates from different projects between 2010 and the present, including approximately 90 000 identified samples and another 130 000 samples pending treatment.

Published Jan. 21, 2020 9:30 AM

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.

Published Nov. 4, 2019 3:35 PM

Regional GBIF training 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].

Published Nov. 4, 2019 3:27 PM

Regional GBIF training 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].

Published Nov. 4, 2019 11:59 AM

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.

Published June 6, 2018 9:52 AM

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).