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版本
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如何引用
研究者應依照以下指示引用此資源。:
Sawe T, Kaniki A, Gideon H, Kissima A, Munishi P, Mbwambo J, Jang’andu M, David B, Sigani B, Uisso A, Njovangwa G, Massawe J, Nkya S, Kajembe J (2022): Occurrence and distribution of spores producing plants in Tanzania: Collection of Preserved Specimens at TAFORI herbarium
權利
研究者應尊重以下權利聲明。:
此資料的發布者及權利單位為 TanBIF。 This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License.
GBIF 註冊
此資源已向GBIF註冊，並指定以下之GBIF UUID: 8f1f1bf0-99f8-4ee6-b02f-6c5b570203d6。 TanBIF 發佈此資源，並經由Tanzania Biodiversity Information Facility同意向GBIF註冊成為資料發佈者。
關鍵字
Occurrence; Pteridophytes; Dataset; Specimen
聯絡資訊
資源建立者:
可回覆此資源相關問題者:
元數據填寫者:
與此資源的相關者:
地理涵蓋範圍
Data presented in this dataset were collected in different location in Tanzania
| 界定座標範圍 | 緯度南界 經度西界 [-90, -180], 緯度北界 經度東界 [90, 180] |
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分類群涵蓋範圍
The dataset has 21 families whereby Aspleniaceae (25.6%), Pteridaceae (18.8%) and Polypodiaceae (9.3%) are the dominant.
時間涵蓋範圍
| 彙整期間 | 1920 - 20000 |
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計畫資料
無相關描述
| 計畫名稱 | Enhancing accessibility of forest flora data in Tanzania |
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| 辨識碼 | BID-AF2020-038-INS |
參與計畫的人員:
取樣方法
Data presented in this data set were collected during implementation of various research projects in Tanzania. Plant materials were collected and pressed in the field, dried, identified and mounted on sheet bearing detailed labels, preserved and fixed into folders, then stored in cabinet’s cardboards systematically and sequentially (Alexiades, 1996). Every sheet of specimens contains standard information for herbarium collections, including; taxonomic identification, locality information, geographical coordinates, collector information, and ecological data. In addition, the specimens have been treated to prevent pests damage.
| 研究範圍 | Specimen preserved at Lushoto Silviculture Research Center comes from all regions of Tanzania. |
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方法步驟描述:
- The information on the specimen labels was our data source. To digitize each specimen, we followed three steps: data capture, data cleaning, and data publication. In the data capture process, we extracted all the information on the specimen’s label, and we input the information into Microsoft Excel spreadsheets using Darwin-Core format. In this process, we grouped the specimen information into specific categories of Darwin Core data standards. We used “GEOlocate” (https://www.geo-locate.org/default.html) to acquire the coordinates of the specimens lacking geographical coordinates. We obtained the coordinates by geo-referencing the name of the village or location written on the preserved specimen. Afterwards, we conducted data cleaning to ensure data consistency and adherence to Darwin Core standards. We mainly used “data validator” tool available under GBIF website (https://www.gbif.org/tools/data-validator) to identify missing or incorrect information in our data set. To verify the taxonomic nomenclature, we used “species matching” tool available under GBIF website (https://www.gbif.org/tools/species-lookup), the Plant list (http://www.theplantlist.org/), and World flora Online (http://www.worldfloraonline.org/). All the tools we used are open-source software or available as an open online platform.