MalaMix dataset: contextual and metabarcoding data ...
1. INTRODUCTION MalaMix is a compiled metabarcoding dataset composed of 451 marine samples collected from a range of depths - from the surface (3m) to deep waters (as far down as 4800m). This dataset covers three ocean layers: the epi- (0-200m – including DCM), meso- (200-1000m) and bathypelagic (10...
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ftdatacite:10.5281/zenodo.8363877 2023-12-03T10:27:39+01:00 MalaMix dataset: contextual and metabarcoding data ... Junger, Pedro C. Sarmento, Hugo Giner, Caterina R. Mestre, Mireia Sebastián, Marta Moran, Xosé A. G. Arístegui, Javier Agustí, Susana Duarte, Carlos M. Acinas, Silvia G. Massana, Ramon Gasol, Josep M. Logares, Ramiro 2023 https://dx.doi.org/10.5281/zenodo.8363877 https://zenodo.org/record/8363877 en eng Zenodo https://dx.doi.org/10.1101/2023.01.13.523743 https://dx.doi.org/10.5281/zenodo.8363876 Open Access Creative Commons Attribution Non Commercial 4.0 International https://creativecommons.org/licenses/by-nc/4.0/legalcode cc-by-nc-4.0 info:eu-repo/semantics/openAccess Marine microbial community 16S rRNA 18S rRNA Plankton Ocean dataset Dataset 2023 ftdatacite https://doi.org/10.5281/zenodo.836387710.1101/2023.01.13.52374310.5281/zenodo.8363876 2023-11-03T10:32:50Z 1. INTRODUCTION MalaMix is a compiled metabarcoding dataset composed of 451 marine samples collected from a range of depths - from the surface (3m) to deep waters (as far down as 4800m). This dataset covers three ocean layers: the epi- (0-200m – including DCM), meso- (200-1000m) and bathypelagic (1000-4000m). MalaMix combines samples obtained during two oceanographic expeditions with similar sampling strategies: i) the Malaspina-2010 global expedition that produced 263 samples collected between December 2010 and July 2011 from 120 stations distributed along the tropical and subtropical portions (latitudes between 35° N and 40° S) of the Pacific, Atlantic and Indian oceans; and ii) the HotMix trans-Mediterranean cruise that produced 188 samples collected between April and May 2014 in 29 stations distributed along the whole Mediterranean Sea (from -5° W to 33° E) and the adjacent Northeast Atlantic Ocean. MalaMix comprises: a 16S-V4V5 rRNA gene ASV table (MalaMix_16S.csv); an 18S-V4 rRNA gene ASV table ... Dataset Northeast Atlantic DataCite Metadata Store (German National Library of Science and Technology) Pacific Indian |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Marine microbial community 16S rRNA 18S rRNA Plankton Ocean |
spellingShingle |
Marine microbial community 16S rRNA 18S rRNA Plankton Ocean Junger, Pedro C. Sarmento, Hugo Giner, Caterina R. Mestre, Mireia Sebastián, Marta Moran, Xosé A. G. Arístegui, Javier Agustí, Susana Duarte, Carlos M. Acinas, Silvia G. Massana, Ramon Gasol, Josep M. Logares, Ramiro MalaMix dataset: contextual and metabarcoding data ... |
topic_facet |
Marine microbial community 16S rRNA 18S rRNA Plankton Ocean |
description |
1. INTRODUCTION MalaMix is a compiled metabarcoding dataset composed of 451 marine samples collected from a range of depths - from the surface (3m) to deep waters (as far down as 4800m). This dataset covers three ocean layers: the epi- (0-200m – including DCM), meso- (200-1000m) and bathypelagic (1000-4000m). MalaMix combines samples obtained during two oceanographic expeditions with similar sampling strategies: i) the Malaspina-2010 global expedition that produced 263 samples collected between December 2010 and July 2011 from 120 stations distributed along the tropical and subtropical portions (latitudes between 35° N and 40° S) of the Pacific, Atlantic and Indian oceans; and ii) the HotMix trans-Mediterranean cruise that produced 188 samples collected between April and May 2014 in 29 stations distributed along the whole Mediterranean Sea (from -5° W to 33° E) and the adjacent Northeast Atlantic Ocean. MalaMix comprises: a 16S-V4V5 rRNA gene ASV table (MalaMix_16S.csv); an 18S-V4 rRNA gene ASV table ... |
format |
Dataset |
author |
Junger, Pedro C. Sarmento, Hugo Giner, Caterina R. Mestre, Mireia Sebastián, Marta Moran, Xosé A. G. Arístegui, Javier Agustí, Susana Duarte, Carlos M. Acinas, Silvia G. Massana, Ramon Gasol, Josep M. Logares, Ramiro |
author_facet |
Junger, Pedro C. Sarmento, Hugo Giner, Caterina R. Mestre, Mireia Sebastián, Marta Moran, Xosé A. G. Arístegui, Javier Agustí, Susana Duarte, Carlos M. Acinas, Silvia G. Massana, Ramon Gasol, Josep M. Logares, Ramiro |
author_sort |
Junger, Pedro C. |
title |
MalaMix dataset: contextual and metabarcoding data ... |
title_short |
MalaMix dataset: contextual and metabarcoding data ... |
title_full |
MalaMix dataset: contextual and metabarcoding data ... |
title_fullStr |
MalaMix dataset: contextual and metabarcoding data ... |
title_full_unstemmed |
MalaMix dataset: contextual and metabarcoding data ... |
title_sort |
malamix dataset: contextual and metabarcoding data ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.8363877 https://zenodo.org/record/8363877 |
geographic |
Pacific Indian |
geographic_facet |
Pacific Indian |
genre |
Northeast Atlantic |
genre_facet |
Northeast Atlantic |
op_relation |
https://dx.doi.org/10.1101/2023.01.13.523743 https://dx.doi.org/10.5281/zenodo.8363876 |
op_rights |
Open Access Creative Commons Attribution Non Commercial 4.0 International https://creativecommons.org/licenses/by-nc/4.0/legalcode cc-by-nc-4.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.836387710.1101/2023.01.13.52374310.5281/zenodo.8363876 |
_version_ |
1784277496460476416 |