cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.962196
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 06)

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 19.09 pts/m² and 6.52 pts/m², respectively. This dataset covers approximately 8.91 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 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.962222
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 07)

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 19.66 pts/m² and 7.26 pts/m², respectively. This dataset covers approximately 9.94 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 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.962136
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 01)

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 15.83 pts/m² and 5.73 pts/m², respectively. This dataset covers approximately 6.35 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 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.962172
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 02)

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 18.55 pts/m² and 6.54 pts/m², respectively. This dataset covers approximately 11.20 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 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.962225
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 08)

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 19.40 pts/m² and 7.25 pts/m², respectively. This dataset covers approximately 10.06 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 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.742882
title: (Table S2) Core top isotope and Mg/Ca measurements of tropical Pacific region
DOI: 10.15468/dl.tahdk6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Himantidium C.G.Ehrenberg, 1840",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066377-250525065834625/datasets/export for details.
DOI: 10.1594/pangaea.914485
title: Age-depth relation of sediment core Tel2006 Lake Teletskoye, Altai Mountains, south-eastern West Siberia, Russia

description: For calculation wmean was used. Reason: see control 210Pb.
DOI: 10.1594/pangaea.914417
title: Radiocarbon dates of sediment core Tel2006 Lake Teletskoye, Altai Mountains, south-eastern West Siberia, Russia

description: Dating was complicated by the absence of plant macrofossils in the sediments and low bulk TOC.
DOI: 10.1594/pangaea.951242
title: Ground vegetation cover at 47 lake sites in Central and Eastern Yakutia, Siberia, in summer 2021 (RU-Land_2021_Yakutia)

description: The vegetation surveys were carried out in four different study areas in the Sakha Republic, Russia: in the mountainous region of the Verkhoyansk Range within the Oymyakonsky and Tomponsky District (Event EN21402 - EN21415), and in three lowland regions of Central Yakutia within the Churapchinsky, Tattinsky and the Megino-Kangalassky District (Event EN21416 - EN21464). The study area is located within the boreal forest biome that is underlain by permafrost soils. The aim was to record the projective ground vegetation in the shore area of the lakes studied during the RU-Land_2021_Yakutia summer field campaign in August and September 2021. Baisheva et al. (2022) gives an overview of the lakes studied and the corresponding hydrochemistry.The ground vegetation was estimated as a percentage within 2 x 2 m plots. The location of the plots was selected on site at the lake to represent the typical ground cover. Some of the vegetation plots were located directly on the shore in the transition to the water, others were chosen nearby the lakeshore. The elevation corresponds to the lake level, as the plots were in the immediate vicinity.The number of plots per lake depended on the different land cover classes, with more plots selected if the vegetation cover was more heterogeneous. The vegetation cover was estimated for each taxon within the plot. If only a few specimens of a species were represented within the plot (less than 1%), they are marked with '&lt; 1'. If many specimens of a species were represented in a plot (up to 5%), they are designated as '&lt; 5'. Mainly the ground vegetation was recorded. In case of clear height difference of the plants in a plot, the cover was divided into shrubs (approx. &gt; 1.70 m) and trees (&gt; 3-5 m).In total, 92 plots at 47 lakes were investigated. All data were collected by scientists from the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) Germany, the University of Potsdam Germany, and the North-Eastern Federal University of Yakutsk (NEFU) Russia.
description: Baisheva et al. (2022) gives an overview of the lakes studied during the summer field campaign (RU-Land_2021_Yakutia).The column 'Other event - Lake sampling event' refers to the sampled lakes in order to link these datasets.
DOI: 10.1594/pangaea.943484
title: Holocene palynological data of sediment core LdlM-10-02
DOI: 10.1594/pangaea.943475
title: Holocene palynological data of sediment core BdlC-13-01
DOI: 10.1594/pangaea.946644
title: Pollen records from Lake Satagay, Yakutia, Russia

description: These datasets of sediment core EN18224-4 from Lake Satagay (63°04'40.8N 117°59'52.8E), Central Yakutia, Russia, comprise the following data: (I) Radiocarbon age dating results by AWI MICADAS; (II) continuous macroscopic charcoal counts (&gt; 150 µm), including the sum of particles per sample, their respective distributions in size classes (&gt;150 µm, 300-500 µm, &gt; 500 µm) and morphotype groups, as well as a low-resolution record of microscopic charcoal concentration from pollen slides (III) pollen and non-pollen palynomorph counts. The datasets have been described in more detail in the accompanying research paper. Metabarcoding results of sedimentary ancient DNA of terrestrial plants, also featured in the research paper, will be uploaded to the Dryad database (datadryad.org).
DOI: 10.1594/pangaea.898714
title: Magnitude and timing of temperature change in the Indo-Pacific warm pool during deglaciation

description: Ocean-atmosphere interactions in the tropical Pacific region have a strong influence on global heat and water vapour transport and thus constitute an important component of the climate system1,2. Changes in sea surface temperatures and convection in the tropical Indo-Pacific region are thought to be responsible for the interannual to decadal climate variability observed in extratropical regions1,3, but the role of the tropics in climate changes on millennial and orbital timescales is less clear. Here we analyse oxygen isotopes and Mg/Ca ratios of foraminiferal shells from the Makassar strait in the heart of the Indo-Pacific warm pool, to obtain synchronous estimates of sea surface temperatures and ice volume. We find that sea surface temperatures increased by 3.5-4.0 8C during the last two glacial—interglacial transitions, synchronous with the global increase in atmospheric CO2 and Antarctic warming, but the temperature increase occurred 2,000- 3,000 years before the Northern Hemisphere ice sheets melted. Our observations suggest that the tropical Pacific region plays an important role in driving glacial—interglacial cycles, possibly through a system similar to how El Nin˜o/Southern Oscillation regulates the poleward flux of heat and water vapour.
description: Supplement to: Visser, Katherine; Thunell, Robert C; Stott, Lowell D (2003): Magnitude and timing of temperature change in the Indo-Pacific warm pool during deglaciation. Nature, 421(6919), 152-155
DOI: 10.1594/pangaea.935008
title: Bathymetric and structural data of Lake Afdera and surroundings, Afar, Ethiopia

description: We present data from the Lake Afdera (13.26N; 40.90E) and its surrounding. Equipped with a small inflatable boat and an echosounder (Humminbird, 899ci hd si system), we surveyed the lake to obtain its first complete bathymetric map. We further investigated the fault pattern around the lake to interpret the lineaments observed in the bathymetry.
DOI: 10.1594/pangaea.924496
title: Bathymetric grid from Lake Iznik (NW Turkey)

description: The bathymetric survey was completed in April 2019 using a fishing boat with a Kongsberg EM2040 multibeam echosounder (Kongsberg Maritime, Horten, Norway, provided by University of Bern) in a single-head configuration (1° by 1° beam width, 300 kHz standard operating frequency; 400 depth detections per ping). The angular coverage was 148° maximum, with a coverage of up to ~3 times water depth on a flat bottom. The transducers and auxiliary sensors Kongsberg Seatex MRU5+ motion sensor (Kongsberg Seatex, Trondheim, Norway), a Trimble SPS361 heading sensor (Trimble Navigation Limited, Sunnyvale, CA, USA), a Leica GX1230 GNSS receiver (Leica Geosystems, Heerbrugg, Switzerland) using the TUSAGA Aktif GEO real-time positioning service (national active fixed GNSS, Turkey; typical position accuracy 2 to 3 cm) and a Valeport MiniSVS sound velocity sensor (Valeport Limited, Totnes, UK) were used. The transducers, motion sensor, and mini sound velocity sensor were incorporated in a rigid mounting attached to the bow of the ship. The ship speed ranged from 7-9 km/h. The vertical sound velocity in the water column was recorded daily by a Valeport Sound Velocity Profiler (SVP) that recorded pressure, temperature, and the sound velocity in the water column. Sound velocity depends on the temperature and the salinity of the water. The absolute depth accuracy depends on the correctness of the water velocity profiles, the motion sensor's capability to compensate for ship movements due to waves, positioning accuracy, the water depth and is in the range of centimeters (shallow waters) to a few decimeters (&gt;50 m depth). Data were recorded using Kongsberg's SIS software and processed in HIPS/SIPS 10.4.13 software (University of Bern), then interpreted using ArcGIS 10.4.1. The provided file is a 5 m-grid, and the lake-level reference used is 83.5 m a.s.l.
DOI: 10.1594/pangaea.943504
title: Holocene palynological data of sediment core LdlMo-13-02
DOI: 10.1594/pangaea.924497
title: High-resolution seismic profiles from Lake Iznik (NW Turkey)

description: The seismic profiles were acquired in Lake Iznik in 2005, using a 3.5 kHz system (Geopulse, Geoacoustic) with a single channel streamer (20-elements AE5000, GeoAcoustics) and an array of four sub-bottom profiling transducers (Mod. TR-1075A, Massa, USA) as receivers. Shot interval was 1 second. For navigation, a 3x4m UWITEC aluminum platform ("R/V Helga") equipped with 4 inflatable tubes for flotation and a 25 HP outboard engine were used. The average speed of the vessel was 5 km/h. All 3.5 kHz data were digitized (Octopus 360, Octopus Marine Systems, UK) and processed (15 to 5000 Hz filtering) using Reflex software (Sandmeier Software, Germany). All profiles were interpreted using IHS Markit Kingdom v.2015.
DOI: 10.1594/pangaea.948815
title: Age, sea surface temperature and Mg/Ca ratios of sediment core GeoB22202-1
DOI: 10.1594/pangaea.948816
title: Age, sea surface temperature and Mg/Ca ratios of sediment core GeoB22222-1
DOI: 10.1594/pangaea.942199
title: Relative paleointensity of sediment core QH17A from the Tengchong Qinghai lake in Yunnan, China
DOI: 10.1594/pangaea.942200
title: Relative paleointensity of sediment core QH4 from the Tengchong Qinghai lake in Yunnan, China
DOI: 10.1594/pangaea.942411
title: Diatoms from Modern Lake Sediments of Lake Lebedinoe (Yamalo-Nenets Autonomous District, West Siberian Arctic, Russia)

description: Arctic reservoirs are excellent indicators of the ongoing increase in air temperature on the planet. The West Siberian Arctic, especially its northern part, is poorly studied algologically. The aim of this work was to study the taxonomic composition of diatoms in modern sediments of Lake Lebedinoe (YNAD, West Siberian Arctic, Russia). 18 sediment samples were processed in the range from 1 to 36 cm. As a result 60 taxa of diatoms were identified in modern bottom sediments of the Lake Lebedinoe.
DOI: 10.1594/pangaea.967643
title: Planktic foraminiferal oxygen isotopes, Mg/Ca and Mg/Ca-derived SST estimates of sediment cores GeoB22229-1

description: Planktic foraminiferal oxygen isotopes, Mg/Ca and Mg/Ca-derived SST estimates of sediment core SO256_29-1 (GeoB22229-1). Oxygen isotope analyses were carried out by the isotope laboratory of MARUM, University of Bremen, on a Finnigan MAT 251 mass spectrometer, which is connected with automatic lines for carbonate preparation. Isotope data were calibrated against the international Vienna Pee Dee Belemnite (VPDB) standard by using an in‐house carbonate standard, which has been calibrated to the National Bureau of Standards 19 standard. The long‐term analytical standard deviation is below ±0.07‰. Sample preparation for Mg/Ca followed the procedure of Barker et al. (2003, doi:10.1029/2003GC000559). Mg/Ca measurements were performed at MARUM, University of Bremen, on an Agilent Technologies 700 Series Inductively Coupled Plasma Optical Emission Spectrophotometer (ICP-OES), which is connected to a Cetax ASX 520 autosampler. To convert Mg/Ca to temperature, we applied the species-specific Mg/Ca-temperature calibration of Anand et al. (2003; doi:10.1029/2002PA000846) with an assumed exponential constant of 0.09.
DOI: 10.1594/pangaea.946635
title: Macroscopic charcoal record from Lake Satagay, Yakutia, Russia

description: These datasets of sediment core EN18224-4 from Lake Satagay (63°04'40.8N 117°59'52.8E), Central Yakutia, Russia, comprise the following data: (I) Radiocarbon age dating results by AWI MICADAS; (II) continuous macroscopic charcoal counts (&gt; 150 µm), including the sum of particles per sample, their respective distributions in size classes (&gt;150 µm, 300-500 µm, &gt; 500 µm) and morphotype groups, as well as a low-resolution record of microscopic charcoal concentration from pollen slides (III) pollen and non-pollen palynomorph counts. The datasets have been described in more detail in the accompanying research paper. Metabarcoding results of sedimentary ancient DNA of terrestrial plants, also featured in the research paper, will be uploaded to the Dryad database (datadryad.org).
DOI: 10.1594/pangaea.962181
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 04)

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 17.09 pts/m² and 6.12 pts/m², respectively. This dataset covers approximately 9.29 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 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.948829
title: Age, sea surface temperature and Mg/Ca ratios of sediment core GeoB22230-2
DOI: 10.1594/pangaea.962228
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 09)

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 16.79 pts/m² and 6.45 pts/m², respectively. This dataset covers approximately 10.73 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 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.962230
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 10)

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 17.29 pts/m² and 6.46 pts/m², respectively. This dataset covers approximately 9.74 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 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.962174
title: Super-high-resolution aerial imagery, digital surface model and 3D point cloud of the Northern Teshekpuk Lake, Alaska (subset 03)

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 15.65 pts/m² and 5.96 pts/m², respectively. This dataset covers approximately 12.64 km² north of Teshekpuk Lake in Alaska, with all images collected on 23 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.