cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.952940
title: Master track of Maria S. Merian cruise MSM111 in 1 sec resolution (zipped, 14.6 MB)

description: Raw data acquired by position sensors on board RV MERIAN during expedition MSM111 were processed to receive a validated master track which can be used as reference of further expedition data. During MSM111 the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and the GPS receivers Trimble SPS855 and SAAB R4 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
DOI: 10.1594/pangaea.962744
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Kivalina, Alaska

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 3.95 pts/m² and 1.46 pts/m², respectively. This dataset covers approximately 4.14 km² of the Kivalina settlement in Alaska, with all images collected on 3 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.937381
title: Master track of Maria S. Merian cruise MSM101 in 1 sec resolution (zipped, 19.4 MB)

description: Raw data acquired by position sensors on board RV MERIAN during expedition MSM101 were processed to receive a validated master track which can be used as reference of further expedition data. During MSM101the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and the GPS receivers Trimble SPS855 and SAAB R4 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
DOI: 10.1594/pangaea.962682
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Selawik Village, Alaska

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 5.81 pts/m² and 2.35 pts/m², respectively. This dataset covers approximately 5.74 km² of Selawik Village in Alaska, with all images collected on 1 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.983118
title: PortMeteO ceilometer measurements during METEOR cruise M207

description: This dataset describes the non-standard meteorological data collected using the newly developed portable meteorological observatory (PortMeteO) during the METEOR Expedition M207 from Belem, Brazil (Jan 3rd, 2025) to Mindelo, Cabo Verde (Feb 11, 2025). Apart from validating the setup, the main purpose was to observe different properties of Saharan dust outbreaks. The ceilometer and disdrometer where operated 24/7 while the sun photometers where used at regular intervals during the day whenever clear sky conditions prevailed. Radiosondes where operated during between Jan 27 and Jan 30, 2025 to capture further details on the dust plume associated with a Saharan dust outbreak.
DOI: 10.1594/pangaea.983119
title: PortMeteO disdrometer measurements during METEOR cruise M207

description: This dataset describes the non-standard meteorological data collected using the newly developed portable meteorological observatory (PortMeteO) during the METEOR Expedition M207 from Belem, Brazil (Jan 3rd, 2025) to Mindelo, Cabo Verde (Feb 11, 2025). Apart from validating the setup, the main purpose was to observe different properties of Saharan dust outbreaks. The ceilometer and disdrometer where operated 24/7 while the sun photometers where used at regular intervals during the day whenever clear sky conditions prevailed. Radiosondes where operated during between Jan 27 and Jan 30, 2025 to capture further details on the dust plume associated with a Saharan dust outbreak.
DOI: 10.1594/pangaea.983120
title: PortMeteO sun photometer measurements during METEOR cruise M207

description: This dataset describes the non-standard meteorological data collected using the newly developed portable meteorological observatory (PortMeteO) during the METEOR Expedition M207 from Belem, Brazil (Jan 3rd, 2025) to Mindelo, Cabo Verde (Feb 11, 2025). Apart from validating the setup, the main purpose was to observe different properties of Saharan dust outbreaks. The ceilometer and disdrometer where operated 24/7 while the sun photometers where used at regular intervals during the day whenever clear sky conditions prevailed. Radiosondes where operated during between Jan 27 and Jan 30, 2025 to capture further details on the dust plume associated with a Saharan dust outbreak.
DOI: 10.1594/pangaea.983389
title: PortMeteO optical particle counter measurements during METEOR cruise M207

description: This dataset describes the non-standard meteorological data collected using the newly developed portable meteorological observatory (PortMeteO) during the METEOR Expedition M207 from Belem, Brazil (Jan 3rd, 2025) to Mindelo, Cabo Verde (Feb 11, 2025). Apart from validating the setup, the main purpose was to observe different properties of Saharan dust outbreaks. The ceilometer, flat plate sampler, optical particle counter and disdrometer where operated 24/7 while the sun photometers where used at regular intervals during the day whenever clear sky conditions prevailed.
description: Optical particle counter from Grimmcruise_date-C.dat: raw particle counts ordered by size bincruise_date-dM.dat: particle mass [micrograms/m3] per size bincruise_date-L.dat: position and standard meteorological datacruise_date-M.dat: particle mass [micrograms/m3] in standard particulate matter size bins (TSP, PM10, PM2.5, PMCoarse, ...) as defined by WMO and other public bodies.
DOI: 10.1594/pangaea.972801
title: Glacier mass balance of Hallstäter Glacier, Austria, 2007/2008

description: Shape files of Hallstätter Glacier, Austria. Coordinate System: GK M31 (EPSG: 31258). Mass balance: fixed date mass balance distribution Attribute table: cm_we; elevation cm_we: mass balance [cm water equivalent] elevation: mid. elevation [m] of the 50-m elevation bandsMass balance year is hydrological year (for example 2007 = hydrological year 2006/2007)
DOI: 10.1594/pangaea.972806
title: Glacier mass balance of Hallstäter Glacier, Austria, 2021/2022

description: Shape files of Hallstätter Glacier, Austria. Coordinate System: GK M31 (EPSG: 31258). Mass balance: fixed date mass balance distribution Attribute table: cm_we; elevation cm_we: mass balance [cm water equivalent] elevation: mid. elevation [m] of the 50-m elevation bandsMass balance year is hydrological year (for example 2007 = hydrological year 2006/2007)
DOI: 10.1594/pangaea.972808
title: Glacier mass balance of Hallstäter Glacier, Austria, 2010/2011

description: Shape files of Hallstätter Glacier, Austria. Coordinate System: GK M31 (EPSG: 31258). Mass balance: fixed date mass balance distribution Attribute table: cm_we; elevation cm_we: mass balance [cm water equivalent] elevation: mid. elevation [m] of the 50-m elevation bandsMass balance year is hydrological year (for example 2007 = hydrological year 2006/2007)
DOI: 10.1594/pangaea.972809
title: Glacier mass balance of Hallstäter Glacier, Austria, 2019/2020

description: Shape files of Hallstätter Glacier, Austria. Coordinate System: GK M31 (EPSG: 31258). Mass balance: fixed date mass balance distribution Attribute table: cm_we; elevation cm_we: mass balance [cm water equivalent] elevation: mid. elevation [m] of the 50-m elevation bandsMass balance year is hydrological year (for example 2007 = hydrological year 2006/2007)
DOI: 10.1594/pangaea.972810
title: Glacier mass balance of Hallstäter Glacier, Austria, 2009/2010

description: Shape files of Hallstätter Glacier, Austria. Coordinate System: GK M31 (EPSG: 31258). Mass balance: fixed date mass balance distribution Attribute table: cm_we; elevation cm_we: mass balance [cm water equivalent] elevation: mid. elevation [m] of the 50-m elevation bandsMass balance year is hydrological year (for example 2007 = hydrological year 2006/2007)
DOI: 10.1594/pangaea.972811
title: Glacier mass balance of Hallstäter Glacier, Austria, 2018/2019

description: Shape files of Hallstätter Glacier, Austria. Coordinate System: GK M31 (EPSG: 31258). Mass balance: fixed date mass balance distribution Attribute table: cm_we; elevation cm_we: mass balance [cm water equivalent] elevation: mid. elevation [m] of the 50-m elevation bandsMass balance year is hydrological year (for example 2007 = hydrological year 2006/2007)
DOI: 10.1594/pangaea.933670
title: Master track of SONNE cruise SO279 in 1 sec resolution (zipped, 17.7 MB)

description: Raw data acquired by position sensors on board RV SONNE during expedition SO279 were processed to receive a validated master track which can be used as reference of further expedition data. During SO279 the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and two GPS receivers SAAB MGL-4 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
DOI: 10.1594/pangaea.972812
title: Glacier mass balance of Hallstäter Glacier, Austria, 2012/2013

description: Shape files of Hallstätter Glacier, Austria. Coordinate System: GK M31 (EPSG: 31258). Mass balance: fixed date mass balance distribution Attribute table: cm_we; elevation cm_we: mass balance [cm water equivalent] elevation: mid. elevation [m] of the 50-m elevation bandsMass balance year is hydrological year (for example 2007 = hydrological year 2006/2007)
DOI: 10.1594/pangaea.933708
title: Master track of Maria S. Merian cruise MSM98/2 in 1 sec resolution (zipped, 13.6 MB)

description: Raw data acquired by position sensors on board RV MERIAN during expedition MSM98_2 were processed to receive a validated master track which can be used as reference of further expedition data. During MSM98_2 the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and the GPS receivers Trimble SPS855 and SAAB R4 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
DOI: 10.1594/pangaea.933784
title: Master track of METEOR cruise M169 in 1 sec resolution (zipped, 7.0 MB)

description: Raw data acquired by position sensors on board RV METEOR during expedition M169 were processed to receive a validated master track which can be used as reference of further expedition data. During M169 the motion reference unit Kongsberg SeaTex AS MRU-5 combined with Kongsberg SeaTex AS Seapath 320 and two C and C Technologies GPS receivers C-NAV3050 were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
DOI: 10.1594/pangaea.962677
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Baldwin Peninsula, Alaska

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 8.43 pts/m² and 2.94 pts/m², respectively. This dataset covers approximately 16.68 km² of the northern Baldwin Peninsula in Alaska, with all images collected on 28 June 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.979876
title: UAV-based optical imagery, digital elevation models and hillshades of Dos Lenguas rock glacier / Argentinean Dry Andes (30ºS, 69ºW; 2016, 2018, 2022, 2024) and daily static optical imagery (2023-2024)

description: This dataset spans UAV-based optical imagery for Dos Lenguas rock glacier in the Dry Andes of Argentina (30ºS and 69ºW) for the austral summers of 2016, 2018, 2022 and 2024; the DGNSS measurements used for georeferencing, the DEMs (11cm resolution) generated based on the UAV data, and hillshades (25cm resolution), also based on the flight campaigns. The datasets cover the surface and slopes of Dos Lenguas rock glacier (length, width, size: 1500m, 500m, approx. 0.35km^2) together with surrounding stable terrain. The imagery was collected with a DJI Phantom 3 Advanced in 2D mode (2016, 2018) and a DJI Phantom 4 RTK in terrain awareness mode (TA mode; 2022, 2024). DEMs are generated in Agisoft Metashape Professional (version 2.0.4) and georeferenced with DGNSS measurements. All DEMs are resampled to the dataset with lowest resolution (2016, 11cm). Hillshades are obtained in ArcGIS (version 10.7.1) at a resolution of 25cm. The dataset also includes daily repeated static optical imagery taken with SESACAM Plus Pro cameras at two locations in Agua Negra catchment where Dos Lenguas rock glacier is located, covering approximately 1 year (Feb 2023-Feb 2024).While the UAV datasets allow for a detailed investigation of rock glacier kinematics and for method-oriented comparisons with other remotely sensed data alike, the daily static imagery can, for example, provide insight in snow conditions; helpful for the interpretation of Dos Lenguas rock glacier kinematics.
DOI: 10.1594/pangaea.962014
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Inuvik-Tuktoyaktuk-Highway, Canada

description: As part of the MOSES airborne campaign led by the Alfred Wegener Institute in 2018, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 10.28 px/m³ and 3.86 px/m³ respectively. This dataset covers approximately 15.03 km² of the Inuvik-Tuktoyaktuk-Highway in Canada, with all images collected on 22 August 2018. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962745
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Noatak Coast, Alaska

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 10.21 pts/m² and 3.58 pts/m², respectively. This dataset covers approximately 27.46 km² of the Noatak Coast in Alaska, with all images collected on 3 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962759
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Lake Basins on the Northern Seward Peninsula, Alaska (East)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 10 cm, as well as photogrammetric point clouds in RGB and NIR at 8.95 pts/m² and 3.16 pts/m², respectively. This dataset covers approximately 22.13 km² of drained thermokarst lake basins on the northern Seward Peninsula in Alaska, with all images collected on 9 July 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962582
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Ikpikpuk Delta, Alaska

description: As part of the ThawTrend-Air airborne campaign led by the Alfred Wegener Institute in 2019, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 7 cm, as well as photogrammetric point clouds in RGB and NIR at 22.73 pts/m² and 8.83 pts/m², respectively. This dataset covers approximately 14.16 km² of the Ikpikpuk Delta in Alaska, with all images collected on 31 July 2019. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.962594
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of Cape Blossom, Alaska (20 cm)

description: As part of the Perma-X airborne campaign led by the Alfred Wegener Institute in 2021, we collected super-high-resolution multispectral imagery of permafrost landscapes with the Modular Aerial Camera System (MACS), developed by the German Aerospace Center. From these images, we photogrammetrically processed four-band orthophotos (blue, green, red, near-infrared) and digital surface models at a spatial resolution of 20 cm, as well as photogrammetric point clouds in RGB and NIR at 3.66 pts/m² and 1.34 pts/m², respectively. This dataset covers approximately 25.22 km² of Cape Blossom in Alaska, with all images collected on 25 June 2021. This super-high-resolution dataset provides opportunities for generating detailed training datasets of permafrost landform inventories, a baseline for change detection for thermokarst and thermo-erosion processes, and upscaling of field measurements to lower-resolution satellite observations.
DOI: 10.1594/pangaea.983887
title: Field based and laboratory data of sediment cores from the Lower Havel Inner Delta near Lake Gülpe, Brandenburg (Germany)

description: Sediment cores were recovered using a hand-held Cobra Pro (Atlas Copco) core drilling system with a 60 mm diameter open corer. One-meter segments were retrieved and assessed in the field for sedimentological features, including estimations of grain size, carbonate content, humus content, and redox features (AG Boden 2005, 2024). Colour descriptions were carried out using the Munsell Soil Color Chart. The exact positions of the drilling points were recorded using a differential GPS device (TOPCON HiPer II). The cores were photographed, documented and sampled at 5–10 cm intervals for subsequent laboratory analyses.Bulk samples from five selected cores (RK1, RK3, RK13, RK15, RK17) were freeze-dried, sieved (2 mm), and weighed. Total carbon (TC), total nitrogen (TN), and total sulfur (TS) contents were measured using a CNS analyzer (Vario EL cube, Elementar). Inorganic carbon (TIC) was determined using calcimeter measurements (Scheibler method, Eijkelkamp). Organic carbon (TOC) was calculated as TOC = TC − TIC.For the grain size analyses, sediment samples were first sieved to &lt;2 mm and subsamples of 10 g were treated with 50 ml of 35% hydrogen peroxide (H₂O₂) and gently heated to remove organic matter. Following this, 10 ml of 0.4 N sodium pyrophosphate solution (Na₄P₂O₇) was added to disperse the particles, and the suspension was subjected to ultrasonic treatment for 45 minutes. The sand fraction was analysed by dry sieving and classified into four size classes: coarse sand (2000–630 µm), medium sand (630–200 µm), fine sand (200–125 µm), and very fine sand (125–63 µm). Finer fractions were determined using X-ray granulometry (XRG) with a SediGraph III 5120 (Micromeritics). These included coarse silt (63–20 µm), medium silt (20–6.3 µm), fine silt (6.3–2.0 µm), coarse clay (2.0–0.6 µm), medium clay (0.6–0.2 µm), and fine clay (&lt;0.2 µm).