five

Data from: Are traded forest tree seeds a potential source of non-native pests?

收藏
Mendeley Data2024-06-25 更新2024-06-29 收录
下载链接:
https://datadryad.org/stash/dataset/doi:10.5061/dryad.nr51124
下载链接
链接失效反馈
官方服务:
资源简介:
1. Taxonomy and origin of study seed lotsColumn “Seed lot ID” represents the unique identifier of each seed lot included in the study. Taxonomy of tree species to which each seed lot belongs is specified in columns “Species”, “Family” and “Group”. Origin of each seed lot is indicated in columns “Continent” and “Location”. Column “Range” specifies if seeds were collected in their native or non-native range.2. Seed size of selected seed lots and corresponding fungal infestation and richnessThe average size of the seeds in a seed lot is calculated as a mean surface of the intersection area of 100 measured seeds per seed lot (column “Ø Area [mm2]”). Columns “Species”, “Group” and “Continent” indicate taxonomy of tree species to which seed lots belong and continent of origin of each seed lot. Fungal infestation of each seed lot is indicated by the column “Number of isolates” and fungal richness of each seed lot is indicated by columns “Number of morphotypes” and “Number of ESVs”.3. Morphotype assignments of fungal cultures obtained in the studyEach row corresponds to one out of the 4202 fungal cultures obtained in the study. Column “Seed lot ID” specifies the unique identifier of a seed lot, and column “Seed number” specifies from which of 100 assessed seed from a seed lot the culture was obtained. Columns “Species”, “Group” and “Continent” indicate taxonomy of tree species to which seed lots from which the culture was obtained belong and continent of origin of these seed lots. Grouping of obtained cultures was done on a tree species level and each letter-number combination indicates different morphotype. No cultures were obtained from seed lots SL 22 and SL 24 so they are not listed here.4. Sequenced fungal cultures and corresponding ESVs.Each row in the table corresponds to one out of 473 representative fungal cultures that were sequenced. Seed lot and seed number from which the culture was obtained are indicated in the first two columns, and the assigned morphotype in the third column. Column “ESV” indicates the ESV sequence with which the ITS2 region of sequenced fungal culture mapped and the column “Identity (%)” indicates the percentage of the overlap between two sequences. Last six columns indicate the taxonomical assignment ("Division", "Phylum", "Class", "Order", "Family", "Genus", "Species") of each sequenced culture.5. Sample x ESV matrixThe matrix represents number of reads of each fungal ESV (columns) in each seed lot (rows). The information about the taxonomy and origin of each seed lot is provided in last three columns ("Species", "Group" and "Continent").6. ESV taxonomy and guildsThe table provides information about the taxonomy (division; phylum; class; order; family; genus; species) of each of 1905 obtained fungal ESVs in the study and assigned guilds.7. Infestation of seeds with insectsThe table contains the information about presence ("Exit holes PA" and "Larvae PA") and number of exit holes and insect larvae ("Exit holes" and "Larvae") in each of 100 assessed seeds per seed lot. Column "Infestation" indicates combined presence of exit holes and/or larvae in a seed. Columns "Group" and "Species" indicate the taxonomy and column "Continent" the origin of a seed lot.8. Insect taxonomyEach row corresponds to one of 79 insects revealed from seeds in this study. For each insect the seed lot in which it was found ("Seed lot ID"), tree taxonomy (columns "Species" and "Group) and origin of a seed lot (column "Continent") are indicated in first four columns. The information about the insect order as a result of morphological identification (column “Insect order”) and the results of molecular identification (column “Insect taxonomy”) and the percentage of identity match with the reference sequence are provided.
创建时间:
2023-06-28
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作