cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.957622
title: Insoluble dust, ammonium, calcium, conductivity, peroxide and acid measured in firn cores in Northern Greenland in 2015: T2015-A6

description: Results from six firn cores obtained during a 426 km long northern Greenland traverse in 2015 between the NEEM and the EGRIP deep drilling stations situated on the Western and Eastern side of the Greenland ice sheet, respectively. The cores (9 to 14 m long) are analysed for chemical impurities by means of Continuous Flow Analysis (CFA); Insoluble dust, ammonium, calcium, acid, conductivity and peroxide. The data was dated by means of annual layer counting of mainly peroxide supplemented by calcium seasonal cycles and spans 18 to 53 years (±3 yrs) depending on local snow accumulation that decreases from west to east. Insoluble dust, ammonium, and calcium concentrations in the 6 firn cores overlap, and also the seasonal cycles are similar in timing and magnitude across sites, while peroxide (H2O2) and conductivity both have spatial variations. H2O2 is driven by the accumulation pattern and conductivity is likely influenced by sea salt. Data is published as part of Kjær et al. 2022, Climate of the past, https://doi.org/10.5194/cp-2021-99
DOI: 10.1594/pangaea.935340
title: Hydrogen peroxide and conductivity measurements at 7 ice core drilling sites in northern Greenland

description: This is accumulation data is derived from the Light weight In Situ Analysis (LISA) box at the EastGRIP ice coring site in Greenland in summer 2019, H2O2 is analysed by means of continuous flow analysis, but no standards were analysed for calibration and is thus represented as light counts in arbitrary units as described in Kaufmann et al., 2008; Röthlisberger et al., 2000. Conductivity is the electrical melt water conductivity as detected using a 3082 with micro flow cell 829 from Amber Science similarly to Bigler et al. 2011.
DOI: 10.1594/pangaea.944836
title: Coccolith abundances and calcite mass of sediment core MD04-2718
DOI: 10.1594/pangaea.903231
title: Weather station (Meteo Buoy WeatherStation Instrument 150WX) measurements collected at the OBSEA underwater observatory buoy during October, 2014
DOI: 10.1594/pangaea.903245
title: Weather station (Meteo Sarti Vantage Pro2) measurements collected at the OBSEA shore station (UPC) during March, 2015
DOI: 10.1594/pangaea.903304
title: Weather station (Meteo Sarti Vantage Pro2) measurements collected at the OBSEA shore station (UPC) during August, 2018
DOI: 10.1594/pangaea.908994
title: Wave measurements (Nortec AWAC 1 Mhz ADCP) collected at the OBSEA underwater observatory during July, 2016
DOI: 10.1594/pangaea.959023
title: Measured friction coefficients during laboratory shear experiments
DOI: 10.1594/pangaea.903227
title: Weather station (Meteo Buoy WeatherStation Instrument 150WX) measurements collected at the OBSEA underwater observatory buoy during August, 2014
DOI: 10.1594/pangaea.897521
title: High-resolution bathymetry data of the Witch Ground Basin (central North Sea) aquired during research cruise MSM63

description: Bathymetric data were acquired with the EM712 system mounted to the hull of RV Maria S. Merian (Figure 1). The survey was designed to provide high-resolution bathymetry with 5 x 5 m resolution. We processed the data using MB Systems software (Caress & Chayes, 2017) and included statistical evaluation of soundings that increased the signal-to-noise ratio. The sound velocity profile for multibeam processing was measured at the beginning and at the end of the cruise.
DOI: 10.1594/pangaea.903215
title: Weather station (Meteo Sarti Vantage Pro2) measurements collected at the OBSEA shore station (UPC) during February, 2014
DOI: 10.1594/pangaea.897522
title: Sub-bottom profiler data of the Witch Ground Basin (central North Sea) acquired during cruise MSM63

description: Sub-bottom profiler data acquired during cruise MSM63 using Parasound P70 with 4 kHz as the secondary low frequency to obtain seismic images of the upper 100 m below the seafloor with very high vertical resolution (&lt; 15 cm). We applied a frequency filter (low cut 2 kHz, high cut 6 kHz, 2 iterations) and calculated the envelope within the seismic interpretation software IHS Kingdom.
DOI: 10.1594/pangaea.896539
title: North Atlantic seawater bottle data collected from Tow fish during RRS Discovery cruise DY081

description: Please note: Parameter Nitrate was changed to "Nitrate and Nitrite" on 2019-07-12.
DOI: 10.1594/pangaea.937403
title: Concentrations of levoglucosan, black carbon and ammonium from the RECAP ice core, East Greenland, for the last 5000 years in 20 years bins

description: This dataset presents the fire proxies levoglucosan, black carbon and ammonium measured in the RECAP ice core, in coastal East Greenland. The datasets cover a period of 5000 years and are averaged in 20 years bins. Levoglucosan has been determined using high performance liquid chromatography/negative ion electrospray ionization – tandem mass spectrometry (HPLC/(-)ESI-MS/MS). Black carbon has been measured using a BC analyzer connected to the Continuous Flow Analysis system. Ammonium (NH4+) has been measured by fluorescence within the Continuous Flow Analysis setup.
DOI: 10.1594/pangaea.937429
title: Black carbon raw data in the RECAP ice core, East Greenland,for the past 5000 years

description: This dataset presents the fire proxy black carbon (BC) measured in the RECAP ice core, in coastal East Greenland. The datasets cover a period of 5000 years. Black carbon has been measured using a BC analyzer connected to the Continuous Flow Analysis system.
DOI: 10.1594/pangaea.937433
title: Levoglucosan raw data in the RECAP ice core, East Greenland, for the past 5000 years

description: This dataset presents the fire proxy levoglucosan measured in the RECAP ice core, in coastal East Greenland. The datasets cover a period of 5000 years. Levoglucosan has been determined using high performance liquid chromatography/negative ion electrospray ionization – tandem mass spectrometry (HPLC/(-)ESI-MS/MS).
DOI: 10.1594/pangaea.897916
title: Landcover derived from Sentinel-1 and Sentinel-2 satellite data (2015-2018) for subarctic and arctic environments

description: Landcover classes have been derived from bands of Sentinel-2 (3 (green, 10m), 4 (red, 10m), 8 (near infrared, 10m), 11 (SWIR, 20m) and 12 (SWIR, 20m)) as well as Sentinel-1 VV (IW mode) using a combined approach of unsupervised and supervised classification. The dataset comprises the classification result as well as the signature file for the Maximum Likelihood Classification. Covered areas are: Western Siberia (Russia), Barrow (Alaska), Teshekpuk (Alaska), Mackenzie Delta (Canada), Umiuaq (Canada), Kytalyk (Russia), Lena Delta (Russia), Seward peninsula (Alaska), Yukon Delta (Alaska) For more information see the product documentation.
DOI: 10.1594/pangaea.908995
title: Current measurements (Nortec AWAC 1 Mhz ADCP) collected at the OBSEA underwater observatory during February, 2017
DOI: 10.1594/pangaea.946741
title: Processed sensible and latent heat flux, friction velocity and stability at EastGRIP site on Greenland Ice Sheet

description: Processed 30 minute surface sensible and latent heat flux measured at 180cm above snow surface. The eddy covariance system included a Campbell Scientific CSAT3 and a Krypton Hygrometer KH20 which were directed into the mean wind. The latent heat flux was calculated assuming a latent heat of sublimation of 2835 J/g snow. Friction velocity and Monin-Obukhov stability parameter estimates are provided for convenience. The integration time was 10 minutes which was averaged to 30 minute resolution with the timestamps indicating the beginning of the 30 minute averaging period.
description: Start: 19.05.2018 12:00 End: 13.08.2018 12:00 Timezone: UTC-2 Coordinates: Latitude: 75.627209 * Longitude: -35.987600
DOI: 10.1594/pangaea.908924
title: Current measurements (Nortec AWAC 1 Mhz ADCP) collected at the OBSEA underwater observatory during February, 2012
DOI: 10.1594/pangaea.909243
title: Barometer measurements collected during the first MARUM Waveglider, OpenDAM demo mission

description: Air pressure data at the ocean surface have been collected by utilizing an autonomous surface vehicle, the Wave Glider® SV3 of Liquid Robotics operated by MARUM. The Vaisala PTB 220 sensor had been provided and calibrated by the German Weather Service DWD (Henry Kleta). The real-time data coming from the surface drone were transmitted via an Iridium satellite using the OpenDAM module and subsequently reformatted to be directly fed the data into GTS and PANGAEA.
DOI: 10.1594/pangaea.909326
title: CTD measurements collected during the first MARUM Waveglider, OpenDAM demo mission

description: CTD data near the ocean surface have been collected by utilizing an autonomous surface vehicle, the Wave Glider® SV3 of Liquid Robotics operated by MARUM. The real-time data coming from the surface drone were transmitted via an Iridium satellite using the OpenDAM module and subsequently reformatted to be directly fed the data into PANGAEA.
DOI: 10.1594/pangaea.912014
title: Turbidity and chlorophyll measurements collected during the first MARUM Waveglider, OpenDAM demo mission

description: Turbidity and chlorophyll data near the ocean surface have been collected by utilizing an autonomous surface vehicle, the Wave Glider® SV3 of Liquid Robotics operated by MARUM. The real-time data coming from the surface drone were transmitted via an Iridium satellite using the OpenDAM module and subsequently reformatted to be directly fed the data into PANGAEA.
DOI: 10.1594/pangaea.922825
title: Turbidity and chlorophyll measurements collected during the MARUM Waveglider Adelante mission

description: During the Adelante Mission, Turbidity and Chlorophyll data near the ocean surface have been collected by utilizing an autonomous surface vehicle, the Wave Glider® SV3 of Liquid Robotics operated by MARUM. The real-time data coming from the surface drone were transmitted via an Iridium satellite using the OpenDAM module and subsequently reformatted to be directly fed the data into PANGAEA.
DOI: 10.5281/zenodo.17595249
title: A Universal Information-Capacity Bound Governing the Structure and Stability of Finite Quantum Systems

description: We present a universal information-capacity bound (UICB) that constrains the structural complexity and stability of finite quantum systems independently of their microscopic dynamics. Based on an operator-algebraic formulation using C*-algebras and the CCR/Weyl algebra, the bound establishes a maximal admissible information load I_max, limiting the internal relational complexity of any finite quantum configuration. When the structural complexity C_phys approaches this threshold, the system becomes unstable or ceases to admit a consistent quantum state, providing a unified explanation for collapse phenomena, fragmentation, and drip-line behavior.

The UICB yields concrete, falsifiable predictions across several domains: (i) termination of neutron drip-lines in medium and heavy nuclei, (ii) collapse thresholds in bosonic condensates, (iii) saturation of configurational complexity in amorphous solids, and (iv) limits on global entanglement growth in quantum networks. These predictions offer experimentally testable signatures for validating or refuting the universality of the bound.

This work proposes a structural, model-independent constraint that complements and extends existing theoretical frameworks in nuclear physics, many-body quantum systems, and quantum information theory.
DOI: 10.5281/zenodo.17595250
title: A Universal Information-Capacity Bound Governing the Structure and Stability of Finite Quantum Systems

description: We present a universal information-capacity bound (UICB) that constrains the structural complexity and stability of finite quantum systems independently of their microscopic dynamics. Based on an operator-algebraic formulation using C*-algebras and the CCR/Weyl algebra, the bound establishes a maximal admissible information load I_max, limiting the internal relational complexity of any finite quantum configuration. When the structural complexity C_phys approaches this threshold, the system becomes unstable or ceases to admit a consistent quantum state, providing a unified explanation for collapse phenomena, fragmentation, and drip-line behavior.

The UICB yields concrete, falsifiable predictions across several domains: (i) termination of neutron drip-lines in medium and heavy nuclei, (ii) collapse thresholds in bosonic condensates, (iii) saturation of configurational complexity in amorphous solids, and (iv) limits on global entanglement growth in quantum networks. These predictions offer experimentally testable signatures for validating or refuting the universality of the bound.

This work proposes a structural, model-independent constraint that complements and extends existing theoretical frameworks in nuclear physics, many-body quantum systems, and quantum information theory.
DOI: 10.1594/pangaea.909007
title: Current measurements (Nortec AWAC 1 Mhz ADCP) collected at the OBSEA underwater observatory during March, 2018
DOI: 10.1594/pangaea.922828
title: Barometer measurements collected during the MARUM Waveglider Adelante mission

description: During the Adelante Mission, Air pressure data near the ocean surface have been collected by utilizing an autonomous surface vehicle, the Wave Glider® SV3 of Liquid Robotics operated by MARUM. The Vaisala PTB 220 sensor had been provided and calibrated by the German Weather Service DWD (Henry Kleta). The real-time data coming from the surface drone were transmitted via an Iridium satellite using the OpenDAM module and subsequently reformatted to be directly fed the data into GTS and PANGAEA.
DOI: 10.1594/pangaea.903275
title: Weather station (Meteo Sarti Vantage Pro2) measurements collected at the OBSEA shore station (UPC) during November, 2016
DOI: 10.15468/dl.c5cj9g
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bouvet Island",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 85 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029802-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.907801
title: Hydrochemistry and carbonate chemistry measured on water bottle samples during POSEIDON cruise POS518/2
DOI: 10.1594/pangaea.908963
title: Current measurements (Nortec AWAC 1 Mhz ADCP) collected at the OBSEA underwater observatory during June, 2014
DOI: 10.1594/pangaea.883682
title: CTD measurements collected during the first EGIM deployment at the OBSEA cabled observatory, April, 2017

description: Uncalibrated sensor data
DOI: 10.1594/pangaea.902391
title: CTD (SBE 16 PLUS V2) measurements collected at the OBSEA underwater observatory during March, 2011
DOI: 10.1594/pangaea.903120
title: Weather station (Meteo Sarti Vantage Pro2) measurements collected at the OBSEA shore station (UPC) during November, 2010
DOI: 10.1594/pangaea.954945
title: Snow height information derived from Digital Elevation Models from the summer season 2019 at the EastGRIP deep drilling site

description: Snow height information derived from digital elevation models (DEMs) from the summer season of 2019 at the EastGRIP deep drilling site (75° 38'N, 36° 00'W, ~2,700 m altitude) in the accumulation zone of the Greenland Ice Sheet. The DEMs cover an area of 400 m^2 (x = 40 m, y = 10 m). A representative area of 20 cm width from y = 1.9 to y = 2.1 m along the 40 m transect was chosen in order to study the snow height evolution throughout the 2019 season (mid-May to the beginning of August). The largest gap between consecutive DEMs is three days and happened once. Gaps of two days occurred five times and a one-day gap seven times. A 20-point moving average is used to provide snow height information for stable water isotope data sampled in the same transect.
description: DEM-derived snow height information along a 20 cm band from 1.9 to 2.1 m within the 400 m^2 area (= 40 x 10 m).
DOI: 10.1594/pangaea.967448
title: Annual patterns in algal pigment distribution in Arctic first year ice during the MOSAiC expedition 2019/2020

description: Algal pigment concentrations were retrieved from samples from first-year (FYI) ice, during the whole MOSAiC expedition (Multidisciplinary drifting Observatory for the Study of Arctic Climate) in 2019 to 2020. During MOSAiC, RV Polarstern anchored into an ice floe to gain new insights into Arctic climate over a full annual cycle. Sea ice data were collected starting with the onset of the study, at 85 degrees north and 137 degrees east, following the drift towards the Fram Strait, and returning to the North Pole in the last leg of the expedition. Ice cores were collected at the various coring sites together with teams ICE and BGC (Nicolaus et al. 2022), to study the development of pigment patterns over time, on 3 specific ice-locations. Altogether, 292 samples have been collected and analysed. Ice cores were sliced in sections of 5-10 cm before analyses. Each of the sections was melted at room temperature after additions of filtered ambient seawater, under dark conditions. After extraction in 90 % acetone, samples were analysed using high-performance liquid chromatography (HPLC) on a Waters system (AWI). Algal pigments contain a multiple set of information. Firstly, pigment concentrations can show the presence of algal biomass in the various domains sampled. Secondly, marker pigments can reveal seasonal and temporal dynamics in algal community structure, by discerning specific algal classes like diatoms, cryptophytes, haptophytes and chlorophytes that have specific roles in biogeochemical cycles. Thirdly, certain pigments are indicative of the (photo)-physiological state of micro-algae and fourth, degradation products of the main chlorophyll a pigment further give an indication about senescence and grazing in the various habitats.
DOI: 10.1594/pangaea.910547
title: Sample preparation and laboratory measurement values for fine-grain meteoric Beryllium 10 concentrations before and after Hurricane Maria in Dominica and the percent difference between the two time periods

description: Comments:1) "Fine-grain" refers to sediment grain size &lt;63 μm.2) July 2017 refers to samples collected before Hurricane Maria and January 2018 refers to samples collected after Hurricane Maria.3) Samples were measured at Lawrence Livermore National Laboratory. Ratios were normalized against standard 07KNSTD3110 with an assumed ratio of 2.85 x 10^12 (Nishiizumi et al., 2007).4) Measured ratios were corrected for backgrounds using the average of blanks and 1SD: 6.61 ± 0.70 x 10^-15 (average ± 1SD). See doi:10.1594/PANGAEA.918099.5) Percent difference equals (after-hurricane measurement – before-hurricane measurement)/((after-hurricane measurement + before-hurricane measurement)/2)*100.
DOI: 10.1594/pangaea.927935
title: Physical oceanography at station GS2018108-14-CTD-05 during G. O. Sars cruise GS2018108
DOI: 10.1594/pangaea.940098
title: TALDICE deep1 ice core chronology for the TALDICE ice core

description: TALDICE deep1 ice core chronology (years) for the TALDICE ice core for ice and gas matrix between 1438 m depth and 1548 m depth at 1 m resolution. The chronology is correlated with accumulation rate, thinning function and LIDIE (lock-in-depth in ice equivalent). The TALDICE deep1 chronology is defined for both gas and ice matrix between 1438 m depth and 1548 m depth with the application of the IceChrono1 model (Parrenin et al. 2015). The age scale is defined at 1 m resolution and gas and ice age ages (expressed in years) with their respective uncertainties. The chronology is correlated with accumulation rate, thinning function and LIDIE (lock-in-depth in ice equivalent).
DOI: 10.1594/pangaea.940068
title: Stable nitrogen isotopes measured on TALDICE ice core reaching back to MIS 10.1

description: d15N (permill) measured on TALDICE ice core between 1356 and 1617 m depth. The data set includes new data published in Crotti et al. (2021), Bazin et al. (2013) and Buiron et al. (2011).The d15N, d18Oatm and dO2/N2 (permill) ratios are measured in the air extracted from 81 ice samples between 1356 m depth and 1620 m depth. The extraction of air trapped in the ice is performed at LSCE, using a semi-automatic extraction line (Capron et al., 2010), and δ18Oatm, δ15N and δO2/N2 of air are measured using a dual inlet Delta V plus (Thermo Electron Corporation) mass spectrometer.
DOI: 10.1594/pangaea.940097
title: High-resolution deuterium measured on TALDICE ice core reaching back to MIS 10.1

description: dD (permill) measured on TALDICE ice core at 5 cm resolution between 1438 m depth and 1619 m depth associated with ice age defined by the TALDICE 1a chronology.The dD measurements (permill) are performed between 1438 m depth until 1620 m depth at 5 cm and 10 cm resolution. Discrete samples at 10 cm-resolution between 1438 m and 1486 m depth are measured at the University of Venice using a Thermo Fisher Delta Plus Advantage mass spectrometer coupled with a HDO device. The precision of δD measurements is ± 0.7‰ (1σ). Below 1486 m depth, discrete 5 cm-resolution analyses are carried out the University of Venice and LSCE using the Cavity Ring Down Spectroscopy technique (CRDS). Analysis are performed using a Picarro isotope water analyser (L2130-i version) for both laboratories. The data are calibrated using a linear calibration with three lab-standards periodically calibrated vs V-SMOW.
DOI: 10.1594/pangaea.940090
title: dO2/N2 records of TALDICE ice core reaching back to MIS 10.1

description: d18O atmospheric (permill) and dO2/N2 atmospheric (permill) measured on TALDICE ice core between 1356 and 1617 m depth.The d15N, d18Oatm and dO2/N2 (permill) ratios are measured in the air extracted from 81 ice samples between 1356 m depth and 1620 m depth. The extraction of air trapped in the ice is performed at LSCE, using a semi-automatic extraction line (Capron et al., 2010), and δ18Oatm, δ15N and δO2/N2 of air are measured using a dual inlet Delta V plus (Thermo Electron Corporation) mass spectrometer.
DOI: 10.1594/pangaea.902639
title: CTD (SBE 16 PLUS V2) measurements collected at the OBSEA underwater observatory during July, 2015
DOI: 10.1594/pangaea.927940
title: Physical oceanography at station GS2018108-30-CTD-10 during G. O. Sars cruise GS2018108
DOI: 10.1594/pangaea.883678
title: CTD measurements collected during the first EGIM deployment at the OBSEA cabled observatory, December, 2016

description: Uncalibrated sensor data
DOI: 10.1594/pangaea.902372
title: CTD (SBE 37 SMP) measurements collected at the OBSEA underwater observatory during October, 2009
DOI: 10.1594/pangaea.957089
title: SST Proxies of ODP Site 202-1235