StratFreshDB v1.0
Stratified lakes and ponds that feature steep oxygen gradients are known to be significant net sources of greenhouse gases and hotspots in the carbon cycle. Despite their significant biogeochemical roles, the resident microbial communities, especially in the oxygen-depleted hypolimnetic compartments...
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Science for Life Laboratory
2020
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Online Access: | https://dx.doi.org/10.17044/scilifelab.13005311.v1 https://scilifelab.figshare.com/articles/dataset/StratFreshDB_v1_0/13005311/1 |
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ftdatacite:10.17044/scilifelab.13005311.v1 |
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ftdatacite:10.17044/scilifelab.13005311.v1 2023-05-15T18:28:21+02:00 StratFreshDB v1.0 Buck, Moritz 2020 https://dx.doi.org/10.17044/scilifelab.13005311.v1 https://scilifelab.figshare.com/articles/dataset/StratFreshDB_v1_0/13005311/1 unknown Science for Life Laboratory https://dx.doi.org/10.17044/scilifelab.13005311 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY 60504 Microbial Ecology FOS Biological sciences dataset Dataset 2020 ftdatacite https://doi.org/10.17044/scilifelab.13005311.v1 https://doi.org/10.17044/scilifelab.13005311 2021-11-05T12:55:41Z Stratified lakes and ponds that feature steep oxygen gradients are known to be significant net sources of greenhouse gases and hotspots in the carbon cycle. Despite their significant biogeochemical roles, the resident microbial communities, especially in the oxygen-depleted hypolimnetic compartments are poorly known. In this paper, we present a comprehensive metagenome dataset including shotgun metagenomes from 29 stratified lakes and 12 ponds mainly located in the boreal and subarctic regions but also including one reservoir from tropical Puerto Rico and one Swiss lake from the temperate zone. For most lakes and ponds, the data includes a vertical sample set spanning the oxic surface waters to anoxic bottom layers. In addition to the metagenomic sequences, the dataset includes environmental variables for the samples, such as oxygen, nutrient, and carbon concentrations. The dataset is ideal for further exploring the microbial taxonomic and functional diversity in freshwater environments and climate change impacts on the functioning of these ecosystems. Dataset Subarctic DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
60504 Microbial Ecology FOS Biological sciences |
spellingShingle |
60504 Microbial Ecology FOS Biological sciences Buck, Moritz StratFreshDB v1.0 |
topic_facet |
60504 Microbial Ecology FOS Biological sciences |
description |
Stratified lakes and ponds that feature steep oxygen gradients are known to be significant net sources of greenhouse gases and hotspots in the carbon cycle. Despite their significant biogeochemical roles, the resident microbial communities, especially in the oxygen-depleted hypolimnetic compartments are poorly known. In this paper, we present a comprehensive metagenome dataset including shotgun metagenomes from 29 stratified lakes and 12 ponds mainly located in the boreal and subarctic regions but also including one reservoir from tropical Puerto Rico and one Swiss lake from the temperate zone. For most lakes and ponds, the data includes a vertical sample set spanning the oxic surface waters to anoxic bottom layers. In addition to the metagenomic sequences, the dataset includes environmental variables for the samples, such as oxygen, nutrient, and carbon concentrations. The dataset is ideal for further exploring the microbial taxonomic and functional diversity in freshwater environments and climate change impacts on the functioning of these ecosystems. |
format |
Dataset |
author |
Buck, Moritz |
author_facet |
Buck, Moritz |
author_sort |
Buck, Moritz |
title |
StratFreshDB v1.0 |
title_short |
StratFreshDB v1.0 |
title_full |
StratFreshDB v1.0 |
title_fullStr |
StratFreshDB v1.0 |
title_full_unstemmed |
StratFreshDB v1.0 |
title_sort |
stratfreshdb v1.0 |
publisher |
Science for Life Laboratory |
publishDate |
2020 |
url |
https://dx.doi.org/10.17044/scilifelab.13005311.v1 https://scilifelab.figshare.com/articles/dataset/StratFreshDB_v1_0/13005311/1 |
genre |
Subarctic |
genre_facet |
Subarctic |
op_relation |
https://dx.doi.org/10.17044/scilifelab.13005311 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.17044/scilifelab.13005311.v1 https://doi.org/10.17044/scilifelab.13005311 |
_version_ |
1766210786734112768 |