cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.937176
title: Snow height on sea ice, meteorological conditions and drift of sea ice from autonomous measurements from buoy 2020S108, deployed during MOSAiC 2019/20

description: Snow height was measured by the Snow Buoy 2020S108, an autonomous platform, installed on drifting sea ice in the Arctic Ocean during MOSAiC (Leg 5) 2019/20. The resulting time series describes the evolution of snow height as a function of place and time between 30 August 2020 and 07 July 2021 in sample intervals of 1 hour. The Snow Buoy consists of four independent acoustic range finder measurements representing the area (approx. 10 m**2) around the buoy. In addition to snow height, geographic position (GPS), barometric pressure, air temperature, and surface temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy.
description: The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error. Quality flag, position: The geographic position is flagged +1 if the drift velocity, as derived from the GPS longitude and latitude, exceeds a threshold of 10 deg latitude or 50 deg longitude per time step; +2 if the position exceeds extreme values, such as longitude &gt; 360 deg; +4 if the position is exactly 0.0. Quality flag, snow: The snow height is flagged for each sensor +1 for manual corrections during processing (e.g. sensor issues); +2 if the snow accumulation exceeds 0.1 m per hour; +4 if the difference in snow height is larger than 0.03 m compared to values within the last and next 2 hours; +32 if the value exceeds the height of sensor on the platform at 1.5 m. Quality flag, temperature: The air temperature is flagged +1 for manual corrections during processing (e.g. sensor issues); + 32 if the value is below – 50 °C.Quality flag, pressure: The barometric pressure is flagged +1 for manual corrections during processing (e.g. sensor issues).
DOI: 10.1594/pangaea.913958
title: Basic and other measurements of radiation at station Payerne (2020-01)
DOI: 10.1594/pangaea.913967
title: Basic and other measurements of radiation at station Payerne (2020-02)
DOI: 10.1594/pangaea.935675
title: Snow height on sea ice, meteorological conditions and drift of sea ice from autonomous measurements from buoy 2020S97, deployed during MOSAiC 2019/20

description: Snow height was measured by the Snow Buoy 2020S97, an autonomous platform, installed on drifting sea ice in the Arctic Ocean during MOSAiC (Leg 3) 2019/20. The resulting time series describes the evolution of snow height as a function of place and time between 29 April 2020 and 26 August 2020 in sample intervals of 1 hour. The Snow Buoy consists of four independent acoustic range finder measurements representing the area (approx. 10 m**2) around the buoy. In addition to snow height, geographic position (GPS), barometric pressure, air temperature, and surface temperature were measured. Negative values of snow height occur if surface ablation continues into the sea ice. Thus, these measurements describe the position of the sea ice surface relative to the original snow-ice interface. Differences between single sensors indicate small-scale variability of the snow pack around the buoy.
description: The data set has been processed and contains quality flags for different kinds for erroneous data. Flag values are the sum of individual error codes. The value of 0 refers to no error.Quality flag, position: The geographic position is flagged +1 if the drift velocity, as derived from the GPS longitude and latitude, exceeds a threshold of 10 deg latitude or 50 deg longitude per time step; +2 if the position exceeds extreme values, such as longitude &gt; 360 deg; +4 if the position is exactly 0.0.Quality flag, snow: The snow height is flagged for each sensor +1 for manual corrections during processing (e.g. sensor issues); +2 if the snow accumulation exceeds 0.1 m per hour; +4 if the difference in snow height is larger than 0.03 m compared to values within the last and next 2 hours; +32 if the value exceeds the height of sensor on the platform at 1.5 m.Quality flag, temperature: The air temperature is flagged +1 for manual corrections during processing (e.g. sensor issues); + 32 if the value is below – 50 °C.Quality flag, pressure: The barometric pressure is flagged +1 for manual corrections during processing (e.g. sensor issues).
DOI: 10.1594/pangaea.938254
title: Alien species lists for regions: Great Lakes-St. Lawrence River, North and Baltic Seas, and Chesapeake Bay

description: Underlying established alien species lists for three recipeint regions: Great Lakes-St. Lawrence River (GLSL), North and Baltic Seas (NBS), and Chesapeake Bay (CB). Each species entry is recorded against its taxonomic grouping and geographic origin.
description: RNC and EB acknowledge funding from the Alexander von Humboldt Foundation via a Humboldt Research Fellowship and Sofja Kovalevskaja Award.
DOI: 10.1594/pangaea.941773
title: Basic and other measurements of radiation at station Payerne (2021-06)
DOI: 10.1594/pangaea.941781
title: Basic and other measurements of radiation at station Payerne (2021-07)
DOI: 10.1594/pangaea.941789
title: Basic and other measurements of radiation at station Payerne (2021-08)
DOI: 10.1594/pangaea.941795
title: Basic and other measurements of radiation at station Payerne (2021-09)
DOI: 10.1594/pangaea.941814
title: Basic and other measurements of radiation at station Payerne (2021-10)
DOI: 10.1594/pangaea.941821
title: Basic and other measurements of radiation at station Payerne (2021-11)
DOI: 10.1594/pangaea.941830
title: Basic and other measurements of radiation at station Payerne (2021-12)
DOI: 10.1594/pangaea.941647
title: Basic and other measurements of radiation at station Payerne (2021-01)
DOI: 10.1594/pangaea.941661
title: Basic and other measurements of radiation at station Payerne (2021-02)
DOI: 10.1594/pangaea.941671
title: Basic and other measurements of radiation at station Payerne (2021-03)
DOI: 10.1594/pangaea.941697
title: Basic and other measurements of radiation at station Payerne (2021-04)
DOI: 10.1594/pangaea.941711
title: Basic and other measurements of radiation at station Payerne (2021-05)
DOI: 10.1594/pangaea.946524
title: Snow temperature- and thermal conductivity data from a tundra and forest vegetation zone in the low-Arctic Tasiapik valley in the forest-tundra ecotone in Northern Quebec

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 temperature- and thermal conductivity measurements from both the tundra and forest vegetation zone.
DOI: 10.1594/pangaea.946439
title: Air temperature and wind speed data from a forest vegetation zone in the low-Arctic Tasiapik valley in the forest-tundra ecotone in Northern Quebec

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 air temperature and wind speed measurements from the forested vegetation zone.
DOI: 10.1594/pangaea.946450
title: Radiation data from a tundra vegetation zone in the low-Arctic Tasiapik valley in the forest-tundra ecotone in Northern Quebec

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 radiation measurements from the tundra vegetation zone.
DOI: 10.1594/pangaea.946452
title: Precipitation data from a tundra vegetation zone in the low-Arctic Tasiapik valley in the forest-tundra ecotone in Northern Quebec

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 precipitation measurements from the tundra vegetation zone.
DOI: 10.1594/pangaea.946453
title: Soil temperature and water content data from a forest, lowshrub and lichen vegetation zone in the low-Arctic Tasiapik valley in the forest-tundra ecotone in Northern Quebec

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 soil temperature and water content measurements from a forest, lowshrub and lichen vegetation zone.
DOI: 10.1594/pangaea.946518
title: Snow surface area data from a tundra and forest vegetation zone in the low-Arctic Tasiapik valley in the forest-tundra ecotone in Northern Quebec

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 surface area measurements at differnt snow heights from both the tundra and forest vegetation zones.
DOI: 10.1594/pangaea.946519
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

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.
DOI: 10.1594/pangaea.946523
title: Snow temperature- and thermal conductivity data from a second station at a tundra vegetation zone in the low-Arctic Tasiapik valley in the forest-tundra ecotone in Northern Quebec

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 temperature- and thermal conductivity measurements from a second station at the tundra vegetation zone.
DOI: 10.1594/pangaea.947561
title: Radiation data from a forest vegetation zone in the low-Arctic Tasiapik valley in the forest-tundra ecotone in Northern Quebec

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 radiation measurements from the forest vegetation zone.
DOI: 10.1594/pangaea.947468
title: Snow height data from a tundra and forest vegetation zone in the low-Arctic Tasiapik valley in the forest-tundra ecotone in Northern Quebec

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 height measurements from both the tundra and forest vegetation zone.
DOI: 10.1594/pangaea.957564
title: Basic and other measurements of radiation at station Payerne (2022-01)
DOI: 10.1594/pangaea.957565
title: Basic and other measurements of radiation at station Payerne (2022-02)
DOI: 10.1594/pangaea.957566
title: Basic and other measurements of radiation at station Payerne (2022-03)
DOI: 10.1594/pangaea.957567
title: Basic and other measurements of radiation at station Payerne (2022-04)
DOI: 10.1594/pangaea.957568
title: Basic and other measurements of radiation at station Payerne (2022-05)
DOI: 10.1594/pangaea.957569
title: Basic and other measurements of radiation at station Payerne (2022-06)
DOI: 10.1594/pangaea.957570
title: Basic and other measurements of radiation at station Payerne (2022-07)
DOI: 10.1594/pangaea.957571
title: Basic and other measurements of radiation at station Payerne (2022-08)
DOI: 10.1594/pangaea.957572
title: Basic and other measurements of radiation at station Payerne (2022-09)
DOI: 10.1594/pangaea.957573
title: Basic and other measurements of radiation at station Payerne (2022-10)
DOI: 10.1594/pangaea.957574
title: Basic and other measurements of radiation at station Payerne (2022-11)
DOI: 10.1594/pangaea.957576
title: Basic and other measurements of radiation at station Payerne (2022-12)
DOI: 10.1594/pangaea.960376
title: Temperature before the heating cycle from the sea ice mass balance buoy DTC08 during MOSAiC 2019/2020

description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC08 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 28 January 2020. The thermistor chain was 2.56 m long and included sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 5 February 2020 and 1 July 2020 in sample intervals of 6 hours. It also contains manually estimated position of air-snow, snow-ice, and ice-water interfaces. The DTCs was installed in level first-year ice next to the Fort Ridge. Ice mass balance SIMBA 2020T60 was installed at the Fort Ridge: doi:10.1594/PANGAEA.924269. Radiation station 2020R10 was installed in level first-year ice next to the Fort Ridge: doi:10.1594/PANGAEA.949124.
description: Temperature after the cooling cycle and temperature before the heating cycle both represent in situ temperature. The temperature before the heating cycle may contain errors in measurements and is provided for reference. It is recommended to use temperature after the cooling cycle and temperature difference after the heating cycle for further analysis.
DOI: 10.1594/pangaea.960378
title: Temperature after the cooling cycle from the sea ice mass balance buoy DTC08 during MOSAiC 2019/2020

description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC08 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 28 January 2020. The thermistor chain was 2.56 m long and included sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 5 February 2020 and 1 July 2020 in sample intervals of 6 hours. It also contains manually estimated position of air-snow, snow-ice, and ice-water interfaces. The DTCs was installed in level first-year ice next to the Fort Ridge. Ice mass balance SIMBA 2020T60 was installed at the Fort Ridge: doi:10.1594/PANGAEA.924269. Radiation station 2020R10 was installed in level first-year ice next to the Fort Ridge: doi:10.1594/PANGAEA.949124.
description: Temperature after the cooling cycle and temperature before the heating cycle both represent in situ temperature. The temperature before the heating cycle may contain errors in measurements and is provided for reference. It is recommended to use temperature after the cooling cycle and temperature difference after the heating cycle for further analysis.
DOI: 10.1594/pangaea.960379
title: Temperature difference after the heating cycle from the sea ice mass balance buoy DTC08 during MOSAiC 2019/2020

description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC08 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 28 January 2020. The thermistor chain was 2.56 m long and included sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 5 February 2020 and 1 July 2020 in sample intervals of 6 hours. It also contains manually estimated position of air-snow, snow-ice, and ice-water interfaces. The DTCs was installed in level first-year ice next to the Fort Ridge. Ice mass balance SIMBA 2020T60 was installed at the Fort Ridge: doi:10.1594/PANGAEA.924269. Radiation station 2020R10 was installed in level first-year ice next to the Fort Ridge: doi:10.1594/PANGAEA.949124.
description: Temperature after the cooling cycle and temperature before the heating cycle both represent in situ temperature. The temperature before the heating cycle may contain errors in measurements and is provided for reference. It is recommended to use temperature after the cooling cycle and temperature difference after the heating cycle for further analysis.
DOI: 10.1594/pangaea.962472
title: Temperature difference after the heating cycle from the sea ice mass balance buoy DTC22 during MOSAiC 2019/2020

description: Temperature and heating-induced temperature were measured along a chain of thermistors. Digital Thermistor Chain DTC22 is an autonomous instrument that was installed on drifting sea ice in the Arctic Ocean during the MOSAiC expedition on 08 December 2019. The thermistor chain was 4.16 m long and included sensors with a regular spacing of 2 cm. The resulting time series describes the evolution of temperature during the heating cycle of 20 s and after the heating cycle during the following 40 s as a function of geographic position (GPS), depth, and time between 08 December 2019 and 12 May 2020 in sample intervals of 6 hours. It also contains manually estimated positions of air-snow, snow-ice, and ice-water interfaces. The DTC was installed in the undeformed second-year ice ridge next to RV Polarstern, remote sensing site RS2 and L-band scatterometer.
description: Temperature after the cooling cycle and temperature before the heating cycle both represent in situ temperature. The temperature before the heating cycle may contain errors in measurements and is provided for reference. It is recommended to use temperature after the cooling cycle and temperature difference after the heating cycle for further analysis.