The Australian Microbiome Initiative for accurate detection and ecological modelling of fungi
This repository contains processed topsoil ITS data from the Australian Microbiome Initiative , covering over 2000 plots in Australia and Antarctica. Our bioinformatic analysis followed a conservative approach and best practices in metabarcoding. We paired this dataset with over 100 predictor variab...
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Online Access: | https://doi.org/10.26181/25706673.v1 https://figshare.com/articles/dataset/The_Australian_Microbiome_Initiative_for_accurate_detection_and_ecological_modelling_of_fungi/25706673 |
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ftlatrobeunivfig:oai:figshare.com:article/25706673 2024-06-02T07:56:01+00:00 The Australian Microbiome Initiative for accurate detection and ecological modelling of fungi Luke Florence Jennifer Wood John Morgan Camille Truong Marc Freestone Sean Tomlinson 2024-05-01T05:31:39Z https://doi.org/10.26181/25706673.v1 https://figshare.com/articles/dataset/The_Australian_Microbiome_Initiative_for_accurate_detection_and_ecological_modelling_of_fungi/25706673 unknown doi:10.26181/25706673.v1 https://figshare.com/articles/dataset/The_Australian_Microbiome_Initiative_for_accurate_detection_and_ecological_modelling_of_fungi/25706673 MIT Biological sciences Environmental sciences metabarcoding fungi ITS1 Australia Australian Microbiome soil high-throughput sequencing illumina Dataset 2024 ftlatrobeunivfig https://doi.org/10.26181/25706673.v1 2024-05-06T02:23:19Z This repository contains processed topsoil ITS data from the Australian Microbiome Initiative , covering over 2000 plots in Australia and Antarctica. Our bioinformatic analysis followed a conservative approach and best practices in metabarcoding. We paired this dataset with over 100 predictor variables to fast-track data exploration. Dataset Antarc* Antarctica La Trobe University (Melbourne): Figshare |
institution |
Open Polar |
collection |
La Trobe University (Melbourne): Figshare |
op_collection_id |
ftlatrobeunivfig |
language |
unknown |
topic |
Biological sciences Environmental sciences metabarcoding fungi ITS1 Australia Australian Microbiome soil high-throughput sequencing illumina |
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Biological sciences Environmental sciences metabarcoding fungi ITS1 Australia Australian Microbiome soil high-throughput sequencing illumina Luke Florence Jennifer Wood John Morgan Camille Truong Marc Freestone Sean Tomlinson The Australian Microbiome Initiative for accurate detection and ecological modelling of fungi |
topic_facet |
Biological sciences Environmental sciences metabarcoding fungi ITS1 Australia Australian Microbiome soil high-throughput sequencing illumina |
description |
This repository contains processed topsoil ITS data from the Australian Microbiome Initiative , covering over 2000 plots in Australia and Antarctica. Our bioinformatic analysis followed a conservative approach and best practices in metabarcoding. We paired this dataset with over 100 predictor variables to fast-track data exploration. |
format |
Dataset |
author |
Luke Florence Jennifer Wood John Morgan Camille Truong Marc Freestone Sean Tomlinson |
author_facet |
Luke Florence Jennifer Wood John Morgan Camille Truong Marc Freestone Sean Tomlinson |
author_sort |
Luke Florence |
title |
The Australian Microbiome Initiative for accurate detection and ecological modelling of fungi |
title_short |
The Australian Microbiome Initiative for accurate detection and ecological modelling of fungi |
title_full |
The Australian Microbiome Initiative for accurate detection and ecological modelling of fungi |
title_fullStr |
The Australian Microbiome Initiative for accurate detection and ecological modelling of fungi |
title_full_unstemmed |
The Australian Microbiome Initiative for accurate detection and ecological modelling of fungi |
title_sort |
australian microbiome initiative for accurate detection and ecological modelling of fungi |
publishDate |
2024 |
url |
https://doi.org/10.26181/25706673.v1 https://figshare.com/articles/dataset/The_Australian_Microbiome_Initiative_for_accurate_detection_and_ecological_modelling_of_fungi/25706673 |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_relation |
doi:10.26181/25706673.v1 https://figshare.com/articles/dataset/The_Australian_Microbiome_Initiative_for_accurate_detection_and_ecological_modelling_of_fungi/25706673 |
op_rights |
MIT |
op_doi |
https://doi.org/10.26181/25706673.v1 |
_version_ |
1800752850536497152 |