Sampling event

eDNA along Houdong riverine zonation in Taiwan

Latest version published by Taiwan Biodiversity Information Facility (TaiBIF) on 16 May 2023 Taiwan Biodiversity Information Facility (TaiBIF)

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The dataset presented here includes detection of species in the Houdong River (猴洞坑) located in Jiaoxi Township, Yilan, Taiwan. Fieldwork was conducted on April 28th, 2022. The primary objective of this study was to determine the occurrence of species in riverine ecosystems through the use of environmental DNA methodology.

Data Records

The data in this sampling event resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 4 records.

4 extension data tables also exist. An extension record supplies extra information about a core record. The number of records in each extension data table is illustrated below.

Event (core)

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.


The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

Hoh D (2023): eDNA along Houdong riverine zonation in Taiwan. v1.2. Taiwan Biodiversity Information Facility (TaiBIF). Dataset/Samplingevent.


Researchers should respect the following rights statement:

The publisher and rights holder of this work is Taiwan Biodiversity Information Facility (TaiBIF). This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: 2615342d-7349-4e75-ae34-cda6cb403e2e.  Taiwan Biodiversity Information Facility (TaiBIF) publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Taiwan Biodiversity Information Facility.




Daphne Hoh
  • Metadata Provider
  • Originator
  • Point Of Contact
Postdoctoral Researcher
Taiwan Biodiversity Information Facility
Min-Chen Wang
  • Point Of Contact
Postdoctoral Researcher
Institute of Cellular and Organismic Biology, Academia Sinica

Geographic Coverage

Houdong River (猴洞坑), Jiaoxi Township, Yilan County, Taiwan

Bounding Coordinates South West [24.824, 121.768], North East [24.871, 121.846]

Taxonomic Coverage

We detected eukaryotic organisms in the water samples using the cytochrome oxidase subunit 1 (COI) mitochondrial gene. A total of 2,736 operational taxonomic units (OTUs) were identified, but only 421 of these could be successfully assigned to a taxonomic group at (at least) the kingdom level.

Domain Eukaryota
Kingdom Animalia, Chromista, Fungi, Plantae, Protozoa
Phylum Amoebozoa, Bryophyta, Cryptophyta, Nemertea, Sulcozoa, Annelida, Bryozoa, Gastrotricha, Ochrophyta, Tracheophyta, Arthropoda, Chaetognatha, Glomeromycota, Oomycota, Zygomycota, Ascomycota, Chlorophyta, Haptophyta, Platyhelminthes, Basidiomycota, Chordata, Mollusca, Rhodophyta, Blastocladiomycota, Cnidaria, Mycetozoa, Rotifera

Temporal Coverage

Start Date 2022-04-28

Project Data

No Description available

Title Environmental DNA-based biodiversity profiling along Houdong riverine zonation in Taiwan

The personnel involved in the project:

John Wang
  • Author
Chung-Hsin Huang
  • Author
Min-Chen Wang

Sampling Methods

Surface water was collected from each site on the same day, and various water quality parameters were measured on site, including temperature, pH, dissolved oxygen (DO) content, turbidity, and salinity, with three replicate measurements taken for each parameter. Samples were processed at the Marine Research Station of the Institute of Cellular and Organismic Biology and the Biodiversity Research Centre at Academia Sinica in Taiwan. To prepare the samples for eDNA metabarcoding analysis, each water sample was filtered twice. The first filtration step involved using a 75 µm pore size sieve to remove larger materials, such as debris. Next, a 0.22 μm PES filter membrane with a vacuum pump was used to collect eDNA from the filtered water. Two PES filter membranes were used at each site and each membrane was used to filter 2 L of water. The filtered membranes were then placed in sterile petri dishes and stored at -80 °C until DNA extraction.

Study Extent This is a one-time sampling event. Water samples were collected from four sites along the Houdong Riverine zonation: the upstream waterfall (sample name: WF), river (FR), estuary (ES), and river mouth (RM).

Method step description:

  1. Wet lab process description: pending.
  2. Dry lab process description: pending.
  3. Lowest taxon level-annotation of each OTU was extracted to perform a secondary species mapping to GBIF Backbone using the rgbif package (Chamberlain et al., 2023; version 3.7.7) in R (R Core Team, 2022; version 4.2.2).
  4. Open data and code: We converted the occurrence data into Darwin Core Archive standard and validated data in both event and occurrence data sheets using the Data Validator developed by GBIF (Global Biodiversity Information Facility, 2017). We then published the dataset containing one event core and four extensions: occurrence, DNA derived data, extended measurement or facts, and resource relationship using The Integrated Publishing Toolkit (IPT) of GBIF installed under the Taiwan Biodiversity Information Facility (TaiBIF). DNA sequence data was submitted to European Nucleotide Archive under project accession PRJEB60905. All source codes used in the project can be found in the project GitHub repository (tbc link).

Bibliographic Citations

  1. European Nucleotide Archive EMBL-EBI Project.
  2. Chamberlain S, Barve V, Mcglinn D, Oldoni D, Desmet P, Geffert L, Ram K (2023). rgbif: Interface to the Global Biodiversity Information Facility API. R package version 3.7.7.
  3. R Core Team (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.

Additional Metadata

Alternative Identifiers 2615342d-7349-4e75-ae34-cda6cb403e2e