Dataset landingpage: GeoBasis Zackenberg - Snow properties - Spring_snow_cover

This is the landing page for a dataset in the Greenland Ecosystem Monitoring (GEM) database. This page embeds schema.org metadata as JSON-LD, describing the dataset in machine readable and interoperable format.

Dataset specification

  • Title: GeoBasis Zackenberg - Snow properties - Spring_snow_cover
  • Description: Spring snow cover. Yearly estimated of percentage of snow cover on 10 June in thirteen sections covering the monitoring area at Zackenberg (i.e. valley lowland and Aucella slopes). Estimated using either automatic cameras (early years) and satellite imagery (recent years). Snow properties:Snow properties GeoBasis Zackenberg:The GeoBasis monitoring programme focuses on selected abiotic characteristics in order to describe the state of Greenlandic terrestrial environments and their potential feedback effects in a changing climate. Monitored plot data is up-scaled to a landscape level and is used to improve ecosystem models to be able to quantify these feedback mechanisms. The GeoBasis programme provides an active response to recommendations in international assessments such as ACIA and SWIPA; and is continuously being adapted based on AMAP and other international founded recommendations. Furthermore, the GeoBasis programme is directly involved in several international networks and research projects (e.g. the Circumpolar Active Layer Monitoring (CALM) programme, the Nordic Centre of Excellence DEFROST, the Danish Centre of Excellence CENPERM, the EU-projects PAGE21 and INTERACT, and the Arctic Research Centre at Aarhus University). The GeoBasis programme is divided into a number of sub-groups, including:
  • DOI: 10.17897/M7Y2-TK96 - https://doi.org/10.17897/M7Y2-TK96
  • Location/site: GeoBasis Zackenberg (Accurate site unknown) - -20.57, 74.47 (lon-lat wgs84)
  • Date span of the dataset: 1995 - 2022

Data originator, license and how to download the dataset

The dataset is a product of the Greenland Ecosystem Monitoring program (GEM): https://grid.ac/institutes/grid.507580.f. It is free and open data, licensed with terms of use under the Creative Commons CC-BY-SA license: https://creativecommons.org/licenses/by-sa/4.0/ When downloading you will automatically get a terms of use document, describing how to cite the data and other important information.

Download the dataset via this link (registration needed): http://data.g-e-m.dk/log-in/data-tables?doi=10.17897/M7Y2-TK96

Variables measured / columns in dataset

ID Name Unit Data Type Description