cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.859664
title: Permafrost cores and active layer pits on Herschel Island: core attributes

description: Twelve permafrost cores and active layer pits were drilled/dug on Herschel Island in order to estimate the soil organic carbon and total nitrogen contents in the first 30, 100 and 200 cm of ground. The data are the core information obtained during sampling.
description: Supplement to: Obu, Jaroslav; Lantuit, Hugues; Myers-Smith, Isla H; Heim, Birgit; Wolter, Juliane; Fritz, Michael (2017): Effect of Terrain Characteristics on Soil Organic Carbon and Total Nitrogen Stocks in Soils of Herschel Island, Western Canadian Arctic. Permafrost and Periglacial Processes, 28(1), 92-107
DOI: 10.1594/pangaea.870981
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2015-09)
DOI: 10.1594/pangaea.875223
title: Flood layer occurrence in Lake Muzelle sediments
DOI: 10.1594/pangaea.870982
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2015-10)
DOI: 10.1594/pangaea.870983
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2015-11)
DOI: 10.1594/pangaea.870984
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2015-12)
DOI: 10.1594/pangaea.870985
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2016-01)
DOI: 10.1594/pangaea.870986
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2016-02)
DOI: 10.1594/pangaea.870987
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2016-03)
DOI: 10.1594/pangaea.870927
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2014-11)
DOI: 10.1594/pangaea.870928
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2014-12)
DOI: 10.1594/pangaea.870974
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2015-01)
DOI: 10.1594/pangaea.870975
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2015-03)
DOI: 10.1594/pangaea.870976
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2015-04)
DOI: 10.1594/pangaea.870977
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2015-05)
DOI: 10.1594/pangaea.870978
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2015-06)
DOI: 10.1594/pangaea.870979
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2015-07)
DOI: 10.1594/pangaea.870980
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2015-08)
DOI: 10.1594/pangaea.901852
title: Aerial images of eroding permafrost coastline, Qikiqtaruk - Hershel Island, Yukon, Canada

description: Permafrost landscapes are changing around the Arctic in response to climate warming, with coastal erosion being one of the most prominent and hazardous features. Using drone platforms, satellite images, and historic aerial photographs, we observed the rapid retreat of a permafrost coastline on Qikiqtaruk – Herschel Island, Yukon Territory, in the Canadian Beaufort Sea. This coastline is adjacent to a gravel spit accommodating several culturally significant sites and is the logistical base for the Qikiqtaruk – Herschel Island Territorial Park operations. In this study we sought to (i) assess short-term coastal erosion dynamics over fine temporal resolution, (ii) evaluate short-term shoreline change in the context of long-term observations, and (iii) demonstrate the potential of low-cost lightweight unmanned aerial vehicles (“drones”) to inform coastline studies and management decisions. We resurveyed a 500 m permafrost coastal reach at high temporal frequency (seven surveys over 40 d in 2017). Intra-seasonal shoreline changes were related to meteorological and oceanographic variables to understand controls on intra-seasonal erosion patterns. To put our short-term observations into historical context, we combined our analysis of shoreline positions in 2016 and 2017 with historical observations from 1952, 1970, 2000, and 2011. In just the summer of 2017, we observed coastal retreat of 14.5 m, more than 6 times faster than the long-term average rate of 2.2±0.1 m a−1 (1952–2017). Coastline retreat rates exceeded 1.0±0.1 m d−1 over a single 4 d period. Over 40 d, we estimated removal of ca. 0.96 m3 m−1 d−1. These findings highlight the episodic nature of shoreline change and the important role of storm events, which are poorly understood along permafrost coastlines. We found drone surveys combined with image-based modelling yield fine spatial resolution and accurately geolocated observations that are highly suitable to observe intra-seasonal erosion dynamics in rapidly changing Arctic landscapes.
description: This dataset consists of a time-series of twelve co-registered and orthorectified aerial images, which depict the erosion of a permafrost coastline on Qikiqtaruk - Herschel Island in the Canadian Yukon (69.57°N, 138.9°W). They are the core dataset underpinning the analysis published in The Cryosphere. Please refer to the published article for additional information on the origin and production of these geotiffs. All twelve raster files have been clipped to the spatial extent of the study area used in the article.
description: Supplement to: Cunliffe, Andrew M; Tanski, George; Radosavljevic, Boris; Palmer, William; Sachs, Torsten; Lantuit, Hugues; Kerby, Jeffrey T; Myers-Smith, Isla H (2019): Rapid retreat of permafrost coastline observed with aerial drone photogrammetry. The Cryosphere, 13(5), 1513-1528
DOI: 10.1594/pangaea.892797
title: Palaeoflood-layers in sediment core C, lake Tuspan, Central Maya Lowlands, Guatemala
DOI: 10.1594/pangaea.876582
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2016-10)
DOI: 10.1594/pangaea.876583
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2016-11)
DOI: 10.1594/pangaea.876584
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2016-12)
DOI: 10.1594/pangaea.876585
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2017-01)
DOI: 10.1594/pangaea.876586
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2017-02)
DOI: 10.1594/pangaea.876587
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2017-03)
DOI: 10.1594/pangaea.876588
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2017-04)
DOI: 10.1594/pangaea.907822
title: Zinc isotopic variation of water and surface sediments from the German Elbe River in 2015
DOI: 10.1594/pangaea.910700
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2018-04)
DOI: 10.1594/pangaea.908455
title: Hydrochemical analysis of Cyclone Mekunu rainfall samples in 2018, Southern Oman

description: Cyclone Mekunu precipitation has been collected at three stations in southern Oman.
description: For electrical conductivity (EC) measurements, a handheld unit was used (Multi 3430 by WTW) and major ion concentrations were analyzed by ion chromatography (882 Compact IC plus by Metrohm) with a precision higher than ± 3 %.
DOI: 10.1594/pangaea.908620
title: Thickness and properties of sea ice and snow of land-fast sea ice in Atka Bay in 2018

description: Manual measurements of sea ice thickness, sub-ice platelet layer thickness, freeboard, and snow thickness are distributed evenly and repeated along a 25km-long transect across Atka Bay every 2 to 4 weeks. At each measurement location, 5 holes were drilled through the ice in order to determine the aforementioned parameters, one in the center and one in a distance of five meters in each direction, to cover their small-scale spatial variabilities. The measurements have been mainly conducted by the meteorologist (Hanno Müller) and Matthias Maasch, Mirco Czerwonka, Helene Hoffmann of the overwintering team.
DOI: 10.1594/pangaea.910702
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2017-05)
DOI: 10.1594/pangaea.910703
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2017-04, part 2)
DOI: 10.1594/pangaea.910704
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2017-06)
DOI: 10.1594/pangaea.910705
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2018-03)
DOI: 10.1594/pangaea.910706
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2018-05)
DOI: 10.1594/pangaea.910708
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2018-06)
DOI: 10.1594/pangaea.910709
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2018-07)
DOI: 10.1594/pangaea.910710
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2018-08)
DOI: 10.1594/pangaea.910711
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2018-09)
DOI: 10.1594/pangaea.910712
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2018-10)
DOI: 10.1594/pangaea.910713
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2018-11)
DOI: 10.1594/pangaea.910714
title: Continuous meteorological observations at BEFmate automatic weather station, Spiekeroog, Germany (2018-12)
DOI: 10.1594/pangaea.910736
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2019-01)
DOI: 10.1594/pangaea.910737
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2019-02)
DOI: 10.1594/pangaea.910743
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2019-03)
DOI: 10.1594/pangaea.910745
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2019-05)
DOI: 10.1594/pangaea.910746
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2019-04)
DOI: 10.1594/pangaea.910747
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2019-06)
DOI: 10.1594/pangaea.910748
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2019-07)
DOI: 10.1594/pangaea.910749
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2019-08)
DOI: 10.1594/pangaea.910750
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2019-09)
DOI: 10.1594/pangaea.924209
title: Colored dissolved organic matter (CDOM) and dissolved organic carbon (DOC) measured during cruise TRANSDRIFT-XIX, Laptev Sea

description: The data set includes the light absorption coefficient of colored dissolved organic matter (CDOM) from 200 nm to 700 nm wavelength and dissolved organic carbon (DOC) together with physical oceanographic observations (temperature and salinity) from the Laptev Sea. Sampling was carried out August and September 2011. During the ship-based expedition, we operated a CTD profiler (conductivity temperature-depth; Seabird 19+) to sample the basic hydrographic parameters. The CTD is operated on a carousel water sampler (SBE 32SC) allowing automated water sampling at pre-selected depths.The dataset is part of a multi-year study (different seasons over a period of 9 years: 2010-2019) of the dissolved organic matter (CDOM), which includes observations in marine waters from the coastal zone to the shelf edge of the Laptev Sea and East Siberian Sea, the river Lena and ice and water samples from the land-fast in the south-eastern Laptev Sea.
DOI: 10.1594/pangaea.924228
title: Colored dissolved organic matter (CDOM) and dissolved organic carbon (DOC) measured during helicopter/ice camp TRANSDRIFT-XX, Laptev Sea

description: The data set includes the light absorption coefficient of colored dissolved organic matter (CDOM) from 200 nm to 700 nm wavelength and dissolved organic carbon (DOC) from the land-fast ice in the Laptev Sea. Sampling was carried out March and April 2012. Samples were collected with the help of helicopters in March and April 2012 from camps on the land-fast ice of the south eastern Laptev Sea. During the winter expedition a standalone CTD (Seabird 19+) was lowered through an ice hole along with Nansen water samplers. Six Ice cores (9 cm diameter) from different ice types were collected in 2012 at three sampling sites. Subsamples from the ice cores were taken at 10 cm intervals to represent the different periods in which the ice formed, with the youngest ice occurring in the lower section and the oldest ice from the first phases of ice formation during early winter in the uppermost sections of the ice core. In addition to the CDOM, DOC and salinity measurements in the ice cores, we measured CDOM, DOC, temperature and salinity in the water column under the ice.
DOI: 10.1594/pangaea.928196
title: Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2018S56, deployed for Antarctic Fast Ice Network (AFIN) 2018

description: Snow height was measured by the Snow Depth Buoy 2018S56, an autonomous platform, drifting on Antarctic sea ice, deployed for the Antarctic Fast Ice Network (AFIN) 2018 at Atka Bay. The resulting time series describes the evolution of snow depth as a function of place and time between 14 June 2018 and 24 January 2020 in sample intervals of 1 hour. The Snow Depth Buoy consists of four independent sonar measurements representing the area (approx. 10 m**2) around the buoy. The buoy was installed on fast ice. In addition to snow depth, geographic position (GPS), barometric pressure, air temperature, and an internal ice 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. The data set has been processed, including the removal of obvious inconsistencies (missing values). Records without any snow depth may still be used for sea ice drift analyses.
DOI: 10.1594/pangaea.945087
title: Thickness and properties of sea ice and snow of land-fast sea ice in Atka Bay in 2021

description: Manual measurements of sea ice thickness, sub-ice platelet layer thickness, freeboard, and snow thickness are distributed evenly and repeated along a 25km-long transect across Atka Bay every 2 to 4 weeks. At each measurement location, 5 holes were drilled through the ice in order to determine the aforementioned parameters, one in the center and one in a distance of five meters in each direction, to cover their small-scale spatial variabilities. The measurements have been mainly conducted by the meteorologist (Paul Ockenfuß) and Jess Bunchek, Tanguy Doron and Linda Ort of the overwintering team.
DOI: 10.1594/pangaea.934107
title: Thickness and properties of sea ice and snow of land-fast sea ice in Atka Bay in 2020

description: Manual measurements of sea ice thickness, sub-ice platelet layer thickness, freeboard, and snow thickness are distributed evenly and repeated along a 25km-long transect across Atka Bay every 2 to 4 weeks. At each measurement location, 5 holes were drilled through the ice in order to determine the aforementioned parameters, one in the center and one in a distance of five meters in each direction, to cover their small-scale spatial variabilities. The measurements have been mainly conducted by the meteorologist (Anna-Marie Jörss) and Klaus Guba, Ina Wehner, Julia Loftfield, Noah Trumpik, Roman Ackle, Wanderson Divino de Almeida Santos of the overwintering team.
DOI: 10.1594/pangaea.935036
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2020-09)

description: Meteorological data were collected near the DynaCom experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline of Spiekeroog. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system.Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
DOI: 10.1594/pangaea.935042
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2020-10)

description: Meteorological data were collected near the DynaCom experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline of Spiekeroog. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system.Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
DOI: 10.1594/pangaea.935043
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2020-11)

description: Meteorological data were collected near the DynaCom experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline of Spiekeroog. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system.Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
DOI: 10.1594/pangaea.935044
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2020-12)

description: Meteorological data were collected near the DynaCom experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline of Spiekeroog. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system.Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
DOI: 10.1594/pangaea.939769
title: Geochemical and isotope data from shallow aquifers in the Bas-Saint-Laurent area (Qc, Canada)

description: In this study, we combined radon in water activity (222Rn), stable isotopes of inorganic carbon (δ13CDIC), water stable isotopes (δ18O; δ2H) as well as major and trace ions measured in 161 private wells to develop a conceptual hydrogeochemical model of the groundwater flow in this region. More specifically, the applied method consists of (1) analyses of the hydrogeochemical facies and their spatial distribution, (2) sequential multivariate analyses of the groundwater geochemistry and assessment of the evolutionary processes, (3) origin and distribution of 222Rn in the study area and (4) a conceptual model of the groundwater flowpath and mixing processes combining geochemistry and isotopes.
DOI: 10.1594/pangaea.945459
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2021-01)

description: Data presented here were collected within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.