JN2-low
Ancient DNA sequences extracted from sediment sample 'JN2-low' from J.A.D. Jensen's Nunataks (Greenland). Sequences are amplified with the trnL g and h primers and sequenced on the Roche 454 Sequencing Platform. The results are trimmed for primers and tags, and only sequences found in...
Main Authors: | , , , , , , , , , , , |
---|---|
Format: | Dataset |
Language: | unknown |
Published: |
Dryad Digital Repository
2011
|
Subjects: | |
Online Access: | https://dx.doi.org/10.5061/dryad.1dv51/4 http://datadryad.org/resource/doi:10.5061/dryad.1dv51/4 |
id |
ftdatacite:10.5061/dryad.1dv51/4 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.5061/dryad.1dv51/4 2023-05-15T14:54:57+02:00 JN2-low Jørgensen, Tina Kjær, Kurt H Haile, James Rasmussen, Morten Boessenkool, Sanne Andersen, Kenneth Coissac, Eric Taberlet, Pierre Brochmann, Christian Orlando, Ludovic Gilbert, M. Thomas P. Willerslev, Eske 2011 https://dx.doi.org/10.5061/dryad.1dv51/4 http://datadryad.org/resource/doi:10.5061/dryad.1dv51/4 unknown Dryad Digital Repository https://dx.doi.org/10.5061/dryad.1dv51 http://creativecommons.org/publicdomain/zero/1.0 CC0 sedimentary plant DNA meta-barcoding Nunatak Arctic Greenland J.A.D. Jensen's Nunataks 62.49N 48.45W Holocene Magnoliophyta dataset Dataset DataFile 2011 ftdatacite https://doi.org/10.5061/dryad.1dv51/4 https://doi.org/10.5061/dryad.1dv51 2021-11-05T12:55:41Z Ancient DNA sequences extracted from sediment sample 'JN2-low' from J.A.D. Jensen's Nunataks (Greenland). Sequences are amplified with the trnL g and h primers and sequenced on the Roche 454 Sequencing Platform. The results are trimmed for primers and tags, and only sequences found in more than 5 copies per amplicon are included. Dataset Arctic Greenland DataCite Metadata Store (German National Library of Science and Technology) Arctic Greenland |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
sedimentary plant DNA meta-barcoding Nunatak Arctic Greenland J.A.D. Jensen's Nunataks 62.49N 48.45W Holocene Magnoliophyta |
spellingShingle |
sedimentary plant DNA meta-barcoding Nunatak Arctic Greenland J.A.D. Jensen's Nunataks 62.49N 48.45W Holocene Magnoliophyta Jørgensen, Tina Kjær, Kurt H Haile, James Rasmussen, Morten Boessenkool, Sanne Andersen, Kenneth Coissac, Eric Taberlet, Pierre Brochmann, Christian Orlando, Ludovic Gilbert, M. Thomas P. Willerslev, Eske JN2-low |
topic_facet |
sedimentary plant DNA meta-barcoding Nunatak Arctic Greenland J.A.D. Jensen's Nunataks 62.49N 48.45W Holocene Magnoliophyta |
description |
Ancient DNA sequences extracted from sediment sample 'JN2-low' from J.A.D. Jensen's Nunataks (Greenland). Sequences are amplified with the trnL g and h primers and sequenced on the Roche 454 Sequencing Platform. The results are trimmed for primers and tags, and only sequences found in more than 5 copies per amplicon are included. |
format |
Dataset |
author |
Jørgensen, Tina Kjær, Kurt H Haile, James Rasmussen, Morten Boessenkool, Sanne Andersen, Kenneth Coissac, Eric Taberlet, Pierre Brochmann, Christian Orlando, Ludovic Gilbert, M. Thomas P. Willerslev, Eske |
author_facet |
Jørgensen, Tina Kjær, Kurt H Haile, James Rasmussen, Morten Boessenkool, Sanne Andersen, Kenneth Coissac, Eric Taberlet, Pierre Brochmann, Christian Orlando, Ludovic Gilbert, M. Thomas P. Willerslev, Eske |
author_sort |
Jørgensen, Tina |
title |
JN2-low |
title_short |
JN2-low |
title_full |
JN2-low |
title_fullStr |
JN2-low |
title_full_unstemmed |
JN2-low |
title_sort |
jn2-low |
publisher |
Dryad Digital Repository |
publishDate |
2011 |
url |
https://dx.doi.org/10.5061/dryad.1dv51/4 http://datadryad.org/resource/doi:10.5061/dryad.1dv51/4 |
geographic |
Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Arctic Greenland |
genre_facet |
Arctic Greenland |
op_relation |
https://dx.doi.org/10.5061/dryad.1dv51 |
op_rights |
http://creativecommons.org/publicdomain/zero/1.0 |
op_rightsnorm |
CC0 |
op_doi |
https://doi.org/10.5061/dryad.1dv51/4 https://doi.org/10.5061/dryad.1dv51 |
_version_ |
1766326717840883712 |