Sample dataset of occurrence records of plants of the Kostroma Oblast from the MSU herbarium collections
Version 1.18 published by Test Organization #1 on 19 September 2021 Test Organization #1

Test dataset, prepared at GBIF training school at Shirshov Institute of Oceanology, Moscow (15 - 17 Jun 2018).

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How to cite

Please be aware, this is an old version of the dataset.  Researchers should cite this work as follows:

Minin K (2021): Sample dataset of occurrence records of plants of the Kostroma Oblast from the MSU herbarium collections. v1.18. Test Organization #1. Dataset/Occurrence. https://eubon-ipt.gbif-uat.org/resource?r=mw_test_minin&v=1.18

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The publisher and rights holder of this work is Test Organization #1. This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC) 4.0 License.

GBIF Registration

This resource has not been registered with GBIF

Keywords

Occurrence; Kostroma Oblast; plants; Specimen; Occurrence

Contacts

Who created the resource:

Kirill Minin
research scientist
Shirshov Institute of Oceanology RAS
Nakhimovsk pr., 36
117333 Moscow
RU
+71234567

Who can answer questions about the resource:

Kirill Minin
research scientist
Shirshov Institute of Oceanology RAS
Nakhimovsk pr., 36
117333 Moscow
RU
+71234567

Who filled in the metadata:

Kirill Minin
research scientist
Shirshov Institute of Oceanology RAS
Nakhimovsk pr., 36
117333 Moscow
RU
+71234567
Geographic Coverage

Kostroma Oblast

Bounding Coordinates South West [57.184, 40.496], North East [59.767, 47.703]
Taxonomic Coverage

Plants

Kingdom  Plantae
Temporal Coverage
Start Date / End Date 1913-06-12 / 2009-08-06
Project Data

Three-days on-site course in Moscow with reading task before and data publishing task after. An intensive on-site training will be comprised of i) general introduction to the world of global biodiversity data and GBIF, ii) starting and managing digitisation projects at the collection or institutional scale, general principles of digitisation and practical advice, and iii) data publishing through GBIF. The latter part of the course in particular aims at the beginners who would like to learn publishing biodiversity data through GBIF, but do not know how it is done. This part will enhance the capacity of experts trained for biodiversity data digitization and to expose data in the global pool. The datasets are published as digital authored academic products with DOIs from the organisational accounts and in-built data citation mechanism. Participants will be introduced to GBIF supported data standards and support available in Russia. The course will have a strong focus on the technical aspects of data mobilization through GBIF.org. The event will have a strong practical approach and will include the study key concepts of biodiversity informatics, introduction to the Darwin Core Standard, data standardisation, data publishing utilizing GBIF’s Integrated Publishing Toolkit (IPT). As a result, attendees of the course would be able to comfortably navigate through global biodiversity data, set a local digitisation project, manage an IPT account, and to prepare datasets for online publication.

Title Digitization of Collections and Publishing Data
Identifier DCPD
Funding The event is funded by a GBIF - FinBIF data mobilization grant for European Russia and through Multidisciplinary EDUcation and reSearch in mArine biology in Norway and Russia (MEDUSA) project funded by the Norwegian Centre for International Cooperation in Education (SIU).
Study Area Description Kostroma Oblast, Russia

The personnel involved in the project:

Publisher
Kirill Minin
Collection Data
Collection Name MSU Herbarium
Collection Identifier MW
Specimen preservation methods Dried and pressed
Additional Metadata