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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Bibliographic Details
Main Authors: Luke Florence, Jennifer Wood, John Morgan, Camille Truong, Marc Freestone, Sean Tomlinson
Format: Dataset
Language:unknown
Published: 2024
Subjects:
Biological sciences
Environmental sciences
metabarcoding
fungi
ITS1
Australia
Australian Microbiome
soil
high-throughput sequencing
illumina
Antarc*
Antarctica
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
id ftlatrobeunivfig:oai:figshare.com:article/25706673
record_format openpolar
spelling 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
spellingShingle 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

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