SMA libraries for metabolite identification and quantification in antarctic soils

Metabolite libraries built from NMR spectra for the metabolomics analysis of antarctic soils extracts, using the Simple Mixture Analysis (SMA) tool implemented in MestreNova 14.3.0-30573 software. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE...

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Main Author: Airoldi, C (via Mendeley Data)
Language:unknown
Published: 2023
Subjects:
Interdisciplinary sciences
Antarctic
Antarc*
Online Access:http://nbn-resolving.org/urn:nbn:nl:ui:13-gp-1usk
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:300638
id ftdans:oai:easy.dans.knaw.nl:easy-dataset:300638
record_format openpolar
spelling ftdans:oai:easy.dans.knaw.nl:easy-dataset:300638 2024-06-23T07:46:05+00:00 SMA libraries for metabolite identification and quantification in antarctic soils Airoldi, C (via Mendeley Data) 2023-06-07T06:51:48.292Z http://nbn-resolving.org/urn:nbn:nl:ui:13-gp-1usk https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:300638 unknown 1 h2pbhgv9wc http://nbn-resolving.org/urn:nbn:nl:ui:13-gp-1usk doi:10.17632/h2pbhgv9wc.1 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:300638 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Cristina Airoldi Interdisciplinary sciences 2023 ftdans https://doi.org/10.17632/h2pbhgv9wc.1 2024-06-11T04:08:48Z Metabolite libraries built from NMR spectra for the metabolomics analysis of antarctic soils extracts, using the Simple Mixture Analysis (SMA) tool implemented in MestreNova 14.3.0-30573 software. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE Other/Unknown Material Antarc* Antarctic Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) Antarctic
institution Open Polar
collection Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen)
op_collection_id ftdans
language unknown
topic Interdisciplinary sciences
spellingShingle Interdisciplinary sciences
Airoldi, C (via Mendeley Data)
SMA libraries for metabolite identification and quantification in antarctic soils
topic_facet Interdisciplinary sciences
description Metabolite libraries built from NMR spectra for the metabolomics analysis of antarctic soils extracts, using the Simple Mixture Analysis (SMA) tool implemented in MestreNova 14.3.0-30573 software. THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOVE
author Airoldi, C (via Mendeley Data)
author_facet Airoldi, C (via Mendeley Data)
author_sort Airoldi, C (via Mendeley Data)
title SMA libraries for metabolite identification and quantification in antarctic soils
title_short SMA libraries for metabolite identification and quantification in antarctic soils
title_full SMA libraries for metabolite identification and quantification in antarctic soils
title_fullStr SMA libraries for metabolite identification and quantification in antarctic soils
title_full_unstemmed SMA libraries for metabolite identification and quantification in antarctic soils
title_sort sma libraries for metabolite identification and quantification in antarctic soils
publishDate 2023
url http://nbn-resolving.org/urn:nbn:nl:ui:13-gp-1usk
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:300638
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
genre_facet Antarc*
Antarctic
op_relation 1
h2pbhgv9wc
http://nbn-resolving.org/urn:nbn:nl:ui:13-gp-1usk
doi:10.17632/h2pbhgv9wc.1
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:300638
op_rights OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI
https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
Cristina Airoldi
op_doi https://doi.org/10.17632/h2pbhgv9wc.1
_version_ 1802643868141748224

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