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Bryophytes Occurrences Dataset Based On SYKO Herbarium Moss Collection
Biodiversity Data Journal ( IF 1.3 ) Pub Date : 2020-10-13 , DOI: 10.3897/bdj.8.e57942
Galina Zheleznova 1 , Tatyana Shubina 1 , Mikhail Rubtsov 1 , Galina Litvinenko 1 , Ivan Chadin 1
Affiliation  

Background The dataset with 49,726 bryophytes occurrences (49,261 moss occurrences and 465 liverworts occurrences), located predominantly on the territory European north-east Russia, is described in this data paper. The dataset was based on the digitised moss labels from the Institute of Biology of Komi Scientific Сenter of the Ural Branch of the Russian Academy of Sciences herbarium (SYKO). The information from the labels was recognised, cleaned and brought into compliance with the Darwin Core. More than 99.9% of occurrences were georeferenced with a precision of at least 3 km. For each occurrence, the original label image URL was given. The dataset contains occurrences of 539 moss and liverworts taxa (species and lower ranks) belonging to 190 genera and 75 families. New information Information about 49,726 bryophytes occurrences was published in GBIF. The dataset was based on label data of 94% of SYKO herbarium moss collection specimens. Most of the occurrences were described with the following fields: occurrenceID, institutionID, collectionCode, catalogNumber, basisOfRecord, scientificName, taxonRank, kingdom, phylum, class, order, family, genus, recordedBy, identifiedBy, associatedMedia, day, month, year, country, countryCode, decimalLatitude, decimalLongitude, geodeticDatum, coordinateUncertaintyInMetres, georeferencedBy.

中文翻译:

基于 SYKO Herbarium Moss 采集的苔藓植物发生数据集

背景 本数据文件描述了主要位于俄罗斯东北部地区的 49,726 个苔藓植物(49,261 个苔藓和 465 个地钱)的数据集。该数据集基于俄罗斯科学院植物标本馆 (SYKO) 乌拉尔分院科米科学中心生物研究所的数字化苔藓标签。来自标签的信息被识别、清理并符合达尔文核心。超过 99.9% 的事件都以至少 3 公里的精度进行了地理参考。对于每次出现,都会给出原始标签图像 URL。该数据集包含属于 190 个属和 75 个科的 539 个苔藓和苔类群(种和较低等级)的出现。新信息关于49的信息,GBIF 发表了 726 种苔藓植物。该数据集基于 94% 的 SYKO 植物标本馆标本的标签数据。大多数事件都使用以下字段进行描述:occurrenceID、institutionID、collectionCode、catalogNumber、basicOfRecord、scienceName、taxonRank、王国、门、类、目、科、属、记录者、识别者、关联媒体、日、月、年、国家, countryCode, decimalLatitude, decimalLongitude, geodeticDatum, coordinateUncertaintyInMetres, georeferencedBy。
更新日期:2020-10-13
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