Vertebrate and plant taxa recovered from 10 catchments in Vaud using an eDNA-metabarcoding approach
This dataset contains the results of a five-day field excursion which the extent to which eDNA sampling can capture the diversity of a region with highly heterogeneous habitat patches across a wide elevation gradient through multiple hydrological catchments of the Swiss Alps. Using peristaltic pumps, we filtered 60 L of water at five sites per catchment for a total volume of 1 800 L. Using an eDNA metabarcoding approach focusing on vertebrates and plants, we detected 86 vertebrate taxa spanning 41 families and 263 plant taxa spanning 79 families across ten catchments. This dataset includes two sets of data. The first (Genomic data) includes all the necessary data for the bioinformatic pipeline, whereas the second (Analysis Figures) contains tidied data and scripts for the reproduction of all figures/analyses in the article describing this study.
Funding Information:
This work was supported by:
- Swiss Federal Office of the Environment (FOEN)
(link)
Related Datasets
Please see the related publication for a summary of related datasets.
Reji Chacko, M., Altermatt, F., Fopp, F. et al. Catchment-based sampling of river eDNA integrates terrestrial and aquatic biodiversity of alpine landscapes. Oecologia (2023). https://doi.org/10.1007/s00442-023-05428-4
Related Publications
This dataset corrresponds to the study described in the paper:
Reji Chacko, M., Altermatt, F., Fopp, F. et al. Catchment-based sampling of river eDNA integrates terrestrial and aquatic biodiversity of alpine landscapes. Oecologia (2023). https://doi.org/10.1007/s00442-023-05428-4
This dataset is part of the trophiCH project: https://ele.ethz.ch/research/technology-modelling/trophich.html
Citation:
Reji Chacko, Merin; Fopp, Fabian; Keggin, Thomas; Waldock, Conor; Richards, Eilish; Pellissier, Loic (2023). Vertebrate and plant taxa recovered from 10 catchments in Vaud using an eDNA-metabarcoding approach. EnviDat. doi:10.16904/envidat.409.
DataCite
ISO 19139
GCMD DIF
README.txt
BibTex
RIS
Metadata
Field |
Values |
DOI |
10.16904/envidat.409
|
Publication State |
Published |
Authors |
-
Email:
merin.chackofoo(at)wsl.ch
ORCID:
0000-0002-6069-4281
Given Name:
Merin
Family Name:
Reji Chacko
Affiliation:
WSL
DataCRediT:
Validation, Curation, Publication
-
Email:
fabian.foppfoo(at)wsl.ch
ORCID:
0000-0003-0648-8484
Given Name:
Fabian
Family Name:
Fopp
Affiliation:
WSL
DataCRediT:
Collection, Curation, Publication
-
Email:
thomas.kegginfoo(at)usys.ethz.ch
Given Name:
Thomas
Family Name:
Keggin
Affiliation:
WSL, ETH
DataCRediT:
Collection, Publication
-
Email:
conor.waldockfoo(at)unibe.ch
ORCID:
0000-0002-2818-9859
Given Name:
Conor
Family Name:
Waldock
Affiliation:
Unit of Land Change Science, Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
DataCRediT:
Collection, Publication
-
Email:
eilishrichardsfoo(at)gmail.com
Given Name:
Eilish
Family Name:
Richards
Affiliation:
WSL, ETH
DataCRediT:
Collection, Publication
-
Email:
loic.pellissierfoo(at)wsl.ch
ORCID:
0000-0002-2289-8259
Given Name:
Loic
Family Name:
Pellissier
Affiliation:
Landscape Ecology, Institute of Terrestrial Ecosystems, ETH Zürich, 8049 Zürich, Switzerland
DataCRediT:
Publication, Supervision
|
Contact Person |
Given Name:
Merin
Family Name:
Reji Chacko
Email:
merin.rejichackofoo(at)gmail.com
|
Subtitles |
|
Publication |
Publisher:
EnviDat
Year:
2023
|
Dates |
-
Type:
Collected
Date:
2020-06-22
End Date:
2020-06-26
|
Version |
1.0 |
Type |
dataset |
General Type |
Dataset |
Language |
English |
Location |
Switzerland |
Content License |
Creative Commons Attribution Share-Alike (CC-BY-SA)
|
Last Updated |
September 27, 2023, 15:40 (UTC)
|
Created |
June 6, 2023, 19:26 (UTC)
|