遇见数据集

ECAT: Endemic and sub-endemic Central African Trees

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Zenodo2022-08-18 更新2026-05-25 收录
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This specimen-based occurrence dataset was compiled in the framework of the Conservation of Endemic Central African Trees (ECAT) project with the aim of producing global conservation assessments for the IUCN Red List. Funding for the ECAT project was provided by the Franklinia Foundation. The project targets all tree species endemic or sub-endemic to the Central African region comprising the Democratic Republic of the Congo, Rwanda and Burundi. The dataset contains 6363 records with occurrences of 8904 specimens from 337 taxa belonging to 153 genera in 52 families. Many of these taxa have restricted geographic ranges and are only known from a small number of herbarium specimens. As assessments for such taxa can be compromised by inadequate data, we transcribed and georeferenced label information to obtain a more accurate and complete locality dataset. All specimen data were manually cleaned and verified by botanical experts, resulting in improved data quality and consistency. Character encoding: UTF-8 Format name: Darwin Core Archive format Format version: 1.2 Metadata language: English Provided fields: basisOfRecord, occurrenceID, materialSampleID, catalogNumber, recordNumber, recordedBy, occurrenceStatus, associatedReferences, otherCatalogNumbers, occurrenceRemarks, eventDate, year, month, day, habitat, continent, country, countryCode, stateProvince, locality, verbatimElevation, verbatimCoordinates, decimalLatitude, decimalLongitude, geodeticDatum, georeferenceRemarks, identificationRemarks, scientificName, kingdom, phylum, class, order, family, genus, specificEpithet, infraspecificEpithet, taxonRank, taxonRemarks

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Zenodo
创建时间:
2021-11-05
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