Sample dataset of occurrence records of plants of the Kostroma Oblast from the MSU herbarium collections
Minin K (2021): Sample dataset of occurrence records of plants of the Kostroma Oblast from the MSU herbarium collections. v1.19. Test Organization #1. Dataset/Occurrence. https://eubon-ipt.gbif-uat.org/resource?r=mw_test_minin&v=1.19
此資料的發布者及權利單位為 Test Organization #1。 This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC) 4.0 License.
Occurrence; Kostroma Oblast; plants; Specimen; Occurrence
|界定座標範圍||緯度南界 經度西界 [57.184, 40.496], 緯度北界 經度東界 [59.767, 47.703]|
|起始日期 / 結束日期||1913-06-12 / 2009-08-06|
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.
|計畫名稱||Digitization of Collections and Publishing Data|
|經費來源||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).|
|研究區域描述||Kostroma Oblast, Russia|
|標本保存方法||Dried and pressed|