Snow density data from a tundra and forest vegetation zone in the low-Arctic Tasiapik valley in the forest-tundra ecotone in Northern Quebec ...

The data collection contains meteorological, soil and snow measurements from two nearby sites in the forest-tundra ecotone in the Tasiapik valley near Umiujaq in northern Quebec, Canada. One site is on a mixture of lichen and shrub tundra and the data set there comprises 9 years of meteorological, s...

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Bibliographic Details
Main Authors: Lackner, Georg, Domine, Florent, Sarrazin, Denis, Nadeau, Daniel, Belke-Brea, Maria
Format: Dataset
Language:English
Published: PANGAEA 2022
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.946519
https://doi.pangaea.de/10.1594/PANGAEA.946519
id ftdatacite:10.1594/pangaea.946519
record_format openpolar
spelling ftdatacite:10.1594/pangaea.946519 2024-04-28T08:10:27+00:00 Snow density data from a tundra and forest vegetation zone in the low-Arctic Tasiapik valley in the forest-tundra ecotone in Northern Quebec ... Lackner, Georg Domine, Florent Sarrazin, Denis Nadeau, Daniel Belke-Brea, Maria 2022 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.946519 https://doi.pangaea.de/10.1594/PANGAEA.946519 en eng PANGAEA https://dx.doi.org/10.1594/pangaea.946538 https://dx.doi.org/10.1594/pangaea.964748 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 dataset forest-tundra ecotone meteorological data snow Soil Umiujaq Event label DATE/TIME LATITUDE LONGITUDE Location Vegetation type Snow height Density, snow Field measurement Sonic Ranging Sensor, Campbell Scientific, SR50 dataset Dataset 2022 ftdatacite https://doi.org/10.1594/pangaea.94651910.1594/pangaea.94653810.1594/pangaea.964748 2024-04-02T10:19:34Z The data collection contains meteorological, soil and snow measurements from two nearby sites in the forest-tundra ecotone in the Tasiapik valley near Umiujaq in northern Quebec, Canada. One site is on a mixture of lichen and shrub tundra and the data set there comprises 9 years of meteorological, soil and snow data as well as 3 years of eddy covariance data. The other site, 850 m away, features vegetation consisting mostly of tall shrubs and black spruce. There, 6 years of meteorological, soil and snow data are available. In addition to the data from the automated stations, profiles of snow density and specific surface area were collected during field campaigns.This data set comprises snow density measurements from both the tundra and forest vegetation zones. ... Dataset Arctic Tundra Umiujaq DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic dataset
forest-tundra ecotone
meteorological data
snow
Soil
Umiujaq
Event label
DATE/TIME
LATITUDE
LONGITUDE
Location
Vegetation type
Snow height
Density, snow
Field measurement
Sonic Ranging Sensor, Campbell Scientific, SR50
spellingShingle dataset
forest-tundra ecotone
meteorological data
snow
Soil
Umiujaq
Event label
DATE/TIME
LATITUDE
LONGITUDE
Location
Vegetation type
Snow height
Density, snow
Field measurement
Sonic Ranging Sensor, Campbell Scientific, SR50
Lackner, Georg
Domine, Florent
Sarrazin, Denis
Nadeau, Daniel
Belke-Brea, Maria
Snow density data from a tundra and forest vegetation zone in the low-Arctic Tasiapik valley in the forest-tundra ecotone in Northern Quebec ...
topic_facet dataset
forest-tundra ecotone
meteorological data
snow
Soil
Umiujaq
Event label
DATE/TIME
LATITUDE
LONGITUDE
Location
Vegetation type
Snow height
Density, snow
Field measurement
Sonic Ranging Sensor, Campbell Scientific, SR50
description The data collection contains meteorological, soil and snow measurements from two nearby sites in the forest-tundra ecotone in the Tasiapik valley near Umiujaq in northern Quebec, Canada. One site is on a mixture of lichen and shrub tundra and the data set there comprises 9 years of meteorological, soil and snow data as well as 3 years of eddy covariance data. The other site, 850 m away, features vegetation consisting mostly of tall shrubs and black spruce. There, 6 years of meteorological, soil and snow data are available. In addition to the data from the automated stations, profiles of snow density and specific surface area were collected during field campaigns.This data set comprises snow density measurements from both the tundra and forest vegetation zones. ...
format Dataset
author Lackner, Georg
Domine, Florent
Sarrazin, Denis
Nadeau, Daniel
Belke-Brea, Maria
author_facet Lackner, Georg
Domine, Florent
Sarrazin, Denis
Nadeau, Daniel
Belke-Brea, Maria
author_sort Lackner, Georg
title Snow density data from a tundra and forest vegetation zone in the low-Arctic Tasiapik valley in the forest-tundra ecotone in Northern Quebec ...
title_short Snow density data from a tundra and forest vegetation zone in the low-Arctic Tasiapik valley in the forest-tundra ecotone in Northern Quebec ...
title_full Snow density data from a tundra and forest vegetation zone in the low-Arctic Tasiapik valley in the forest-tundra ecotone in Northern Quebec ...
title_fullStr Snow density data from a tundra and forest vegetation zone in the low-Arctic Tasiapik valley in the forest-tundra ecotone in Northern Quebec ...
title_full_unstemmed Snow density data from a tundra and forest vegetation zone in the low-Arctic Tasiapik valley in the forest-tundra ecotone in Northern Quebec ...
title_sort snow density data from a tundra and forest vegetation zone in the low-arctic tasiapik valley in the forest-tundra ecotone in northern quebec ...
publisher PANGAEA
publishDate 2022
url https://dx.doi.org/10.1594/pangaea.946519
https://doi.pangaea.de/10.1594/PANGAEA.946519
genre Arctic
Tundra
Umiujaq
genre_facet Arctic
Tundra
Umiujaq
op_relation https://dx.doi.org/10.1594/pangaea.946538
https://dx.doi.org/10.1594/pangaea.964748
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.1594/pangaea.94651910.1594/pangaea.94653810.1594/pangaea.964748
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