Nucleotide sequences of archaeal amplicon sequence variants (ASV) from Canadian Prairie groundwater ecosystems

Groundwater ecosystems are globally widespread yet still poorly understood. We investigated the microbiology of >100 groundwater samples from 90 monitoring wells (<250m depth) located in 14 aquifers in the Canadian Prairie. This dataset contains the nucleotide sequences and taxonomy of archaeal 16S rRNA gene amplicons retrieved from groundwater samples of aquifers in the Canadian Prairie, collected between 2015 and 2020. The study area comprised 14 major aquifers and a geographic area of ~210.000 km2. The goal of the study was to understand the links between the biogeochemistry and microbial ecology of groundwater ecosystems in diverse geological settings on a broad spatial scale. Details concerning DNA extraction, sequencing and sequence analyses can be found in the associated publication by Ruff et al. 2023.

Data and Resources

This dataset has no data

Cite this as

Ruff, S Emil, Humez, Pauline, Hrabe de Angelis, Isabella, Diao, Muhe, Nightingale, Michael, Cho, Sara, Connors, Liam, Kuloyo, Olukayode O, Seltzer, Alan, Bowman, Samuel, Wankel, Scott D, McClain, Cynthia N, Mayer, Bernhard, Strous, Marc (2022). Dataset: Nucleotide sequences of archaeal amplicon sequence variants (ASV) from Canadian Prairie groundwater ecosystems. https://doi.org/10.1594/PANGAEA.952291

DOI retrieved: 2022

Additional Info

Field Value
Imported on November 30, 2024
Last update November 30, 2024
License CC-BY-4.0
Source https://doi.org/10.1594/PANGAEA.952291
Author Ruff, S Emil
Given Name S Emil
Family Name Ruff
More Authors
Humez, Pauline
Hrabe de Angelis, Isabella
Diao, Muhe
Nightingale, Michael
Cho, Sara
Connors, Liam
Kuloyo, Olukayode O
Seltzer, Alan
Bowman, Samuel
Wankel, Scott D
McClain, Cynthia N
Mayer, Bernhard
Strous, Marc
Source Creation 2022
Publication Year 2022
Resource Type text/tab-separated-values - filename: GOWN_ASV_Arc_2022
Subject Areas
Name: BiologicalClassification