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DataCC BY V4.0, Open Access
Dataset
Record of DNA Barcoded rainforest plant species for the creation of the dated phylogeny of the Central Queensland Coast
University of the Sunshine Coast
2024
DOI:
https://doi.org/10.25907/00879
Appears in UniSC Research Data Collection
Abstract
A list of 1208 Queensland rainforest species used to create the CSEQ and CQC phylogenies, showing the available GenBank Accession numbers for the 3 standard sequence markers matK, rbcL or psbA-trnH. All sequences with Accession numbers are publicly available from the open access sequence database, GenBank (https://www.ncbi.nlm.nih.gov/genbank/).
(*) Indicates DNA barcode sequences produced at the University of the Sunshine Coast (UniSC) that have been submitted to the BOLD database and awaiting publication.
(**) Indicates unpublished DNA barcode sequences produce in the laboratories of the National Museum of Natural History, Smithsonian Institution, Washington D.C., U.S.A.
(#) Indicates sequences produced at the Australian Tropical Herbarium (ATH) Cairns, Queensland, Australia, available from the Public Data Portal of the BOLD SYSTEMS database (https://www.boldsystems.org/).
(C) Indicates species that have one congener sequence included in the 3 gene DNA barcode when only one marker existed for that species.
Details
- Title
- Record of DNA Barcoded rainforest plant species for the creation of the dated phylogeny of the Central Queensland Coast
- Authors
- Marion Howard (Data Collector) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringHilary Pearl (Data Collector) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringBill McDonald (Data Collector) - Queensland HerbariumAlison Shapcott (Data Collector) - University of the Sunshine Coast, Queensland, Centre for Bioinnovation
- Format
- 1 MS Excel file; 82.7 KB
- Location
- Location: Queensland, Australia.
- Publisher
- University of the Sunshine Coast
- Date collected
- 30-Jan-2018–30-May-2020
- Date published
- 2024
- DOI
- 10.25907/00879
- Grant note
- Australian Flora Foundation
- Organisation Unit
- School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 991067192302621
- Output Type
- Dataset
Metrics
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