cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.933958
title: Increased Ice Thinning over Svalbard measured by ICESat/ICESat-2 Laser Altimetry

description: We used spaceborne laser altimetry data from the ICESat and ICESat-2 missions to obtain ice elevation and mass change rates between 2003-2008 and 2019 over Svalbard. Elevation changes are derived at orbit crossover locations throughout the study area for glaciated and non-glaciated regions. We provide regional filtered crossover data for both surface types as point shapefiles in EPSG 4326 projection. Data is split into a north-western, north-eastern, and southern region in Spitsbergen in addition to measurements for the islands Barentsoya/Edgeoya and Kvitoya, the ice caps of Austfonna and Vestfonna, and seperate acquisitions over the Storisstraumen Glacier (Basin-3) in Austfonna (only glaciated). Data over icefree regions is not available for Kvitoya. Attribute field specifications are as follows: 'dhdt' is the annual elevation change rate in meters per year, 'dh_elv' is the total elevation change in meters, 'dt_year' is the timespan between ICESat and ICESat-2 acquisitions in decimal years, 'elv_IS2' is the interpolated ICESat-2 height value from the two nearest measurements to the crossing position in meters, 'elv_IS' is the interpolated ICESat height value from the two nearest measurements to the crossing position in meters, 'year_IS2' is the interpolated time from the two nearest measurements to the crossing location in decimal years, and 'year_IS' is the interpolated time in decimal years from the two nearest measurements to the crossing location in decimal years.
DOI: 10.1594/pangaea.974592
title: 2023 Glacier surface elevation data from airborne laser scanner survey in Svalbard

description: This dataset contains high resolution surface elevation data of glaciers in Svalbard, collected in aerial surveys of the research aircraft Polar 5. The elevation and near infrared reflectivities provided by the airborne laser scanner RIEGEL VQ-580 are made available as rasterized digital elevation models. The focus during the acquisition was on glaciers with dynamic behavior such as glacial surges. Therefore, the covered area mostly includes selected individual glaciers that were surveyed in July and August 2023. In the region of Heer Land the glaciers Vallåkrabreen, Mettebreen, Ragna-Mariebreen and Scheelebreen are covered. Further, the glaciers Borebreen, Slakbreen and Blankfjellbreen (tributary of Nathorstbreen) were all surveyed.All data are provided with a resolution of 5 meters, projected in EPSG:32633 with EGM2008 as vertical datum.
DOI: 10.1594/pangaea.906896
title: (Figure S4): Concentration of sulfide during the time course anoxic bag incubation from station AC in Van Keulenfjorden, Svalbard
DOI: 10.1594/pangaea.907609
title: (Figure S3): Concentration of 6 M HCl extractable Fe(III) during the time course anoxic bag incubation from station AC in Van Keulenfjorden, Svalbard
DOI: 10.1594/pangaea.907616
title: (Figure 4): Sulfate reduction and oxidation rates from station P in Kongsfjorden, Svalbard
DOI: 10.1594/pangaea.954762
title: Beryllium-10 surface exposure age data for moraines in the Beartooth Mountains, Montana, USA

description: Concentration data of beryllium-10 from samples collected along moraines in the Beartooth Mountains of Montana, United States for surface exposure dating. Resulting ages constrain the timing of glaciation in a valley from the latest Pleistocene through the Late Holocene including the onset of Neoglaciation and the Little Ice Age. Available data can be used to recalculate ages and uncertainties as well as provide location specific information including latitude, longitude, and elevation of individual samples. Beryllium-10 extraction was conducted at the University of Wisconsin - Madison following methods described in Ceperley (2019). Isotopic ratios of 10Be/9Be were measured on the AMS by PRIME Lab at Purdue University. Exposure ages were calculated using the CRONUS online calculator version 3 (Balco et al., 2008, doi:10.1016/j.quageo.2007.12.001) with the Promontory Point production rate (Lifton et al., 2015, doi:10.1016/j.quageo.2014.11.002) and the LSDn scaling scheme (LIfton et al., 2014, doi:10.1016/j.epsl.2013.10.052). Shielding parameters were calculated from field measurements taken with a clinometer and using the CRONUS topographic shielding calculator (Balco et al., 2008. doi:10.1016/j.quageo.2007.12.001).
DOI: 10.1594/pangaea.973637
title: Water stable isotopes at the front of Hisinger Glacier in Dickson Fjord, East Greenland during Greenland Gradients project in summer 2022

description: This dataset contains stable water isotope measurements collected in Dickson Fjord, Northeast Greenland, on August 14th and 15th 2022, as part of the Greenland Gradients research project led by Rysgaard, Søren. The data were collected to assess the presence and influence of glacier meltwater, Polar Water, and Atlantic Water, providing insights into the mixing and distribution of freshwater in the fjord system. Water samples were collected at five locations along the fjord, ranging from 500 meters near the glacier terminus to Ella Island, and at standard depths of 1, 5, 10, 20, 30, 50, 75, 100, and 150 m. At Stations 1 and 13, additional samples were taken at depths of 200, 210, 220 (Station 13), and 250 m (Station 1). Samples were collected at Stations 1, 5, 7, and 9 on August 14th, and at Station 13 on August 15th. Each sample was transferred to 2 mL glass vials and stored at room temperature until analysis. The stable hydrogen and oxygen isotope concentrations were determined using a Cavity Ringdown Spectrometer, L2130-i Isotopic H₂O (Picarro Inc., USA). The dataset complements CTD measurements collected during the same field campaign, which took place from July 31st to August 15th 2022.
DOI: 10.1594/pangaea.973704
title: Hydrography based on CTD data from the front of Hisinger Glacier in Dickson Fjord, East Greenland during Greenland Gradients project in summer 2022

description: This dataset contains hydrographic measurements collected in Dickson Fjord, Northeast Greenland, between July 31st and August 15th 2022, as part of the Greenland Gradients research project led by Rysgaard, Søren. The data were collected to address the fate of glacial meltwater and the dynamics between glacier and fjord waters in Dickson Fjord. Measurements were taken using an RBRConcerto CTD, which was deployed from a boat at multiple stations along the fjord. A total of 13 vertical profiles were obtained at locations ranging from the glacier terminus to Ella Island, covering depths from the surface down to approximately 303 m. The measurements at stations 10 to 12 were conducted on July 31st, the stations 2, 4, 6 and 8 on August 2nd, stations 1, 3, 5, 7, and 9 on August 14th and station 13 on August 15th. The data complement drone-deployed CTD measurements and stable isotope analyses collected during the same field campaign, which took place from July 31st to August 15th 2022.
DOI: 10.15468/dl.u3e3v9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
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 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012479-250802193616735/datasets/export for details.
DOI: 10.1594/pangaea.907617
title: (Figure 4): Sulfate reduction and oxidation rates from station J in Smeerenburgfjorden, Svalbard
DOI: 10.1594/pangaea.973716
title: Hydrography based on drone-CTD data from the front of Hisinger Glacier in Dickson Fjord, East Greenland during Greenland Gradients project in summer 2022

description: This dataset contains hydrographic measurements collected in Dickson Fjord, Northeast Greenland, on August 14th 2022, as part of the Greenland Gradients research project led by Rysgaard, Søren. The data were collected to address the fate of glacial meltwater and the dynamics between glacier and fjord waters near the terminus of Hisinger Glacier. Measurements were taken using a SonTek CastAway CTD, which was deployed from a drone platform to access areas close to the glacier front that are otherwise difficult to reach. Three vertical temperature and salinity profiles were obtained at distances of 20, 30, and 50 meters from the glacier terminus, covering depths from the surface down to approximately 98 m. The three profiles were collected on 14 August 2022 at 15:04 (Flight 1), 15:58 (Flight 2), and 16:37 (Flight 3) UTC. The data is complementary to shipborne CTD measurements and stable water isotope analyses collected during the same field campaign, which took place from July 31st to August 15th 2022.
DOI: 10.1594/pangaea.914503
title: Results of the second experiment of the Glacier Model Intercomparison Project

description: The data file contains projections for area and mass change of glaciers on the global scale, from 11 different glacier models, forced by 10 different climate models, under 4 different scenarios. The values are specified by regions, following the region definition of the Randolph Glacier Inventory (https://www.glims.org/RGI/). Values are given annually for the years 2000 to 2100. The data were produced in the second experiment of the Glacier Model Intercomparison Project, based on standardized boundary and initial conditions (http://www.climate-cryosphere.org/mips/glaciermip/activities-experiments).
DOI: 10.1594/pangaea.940994
title: Landsat-based multitemporal glacier inventory data of over four decades (1977-2019) for Ladakh region

description: This dataset contains Landsat based multitemporal glacier inventories of the four Upper Indus sub-basins (Shayok, Suru, Leh and Zanskar) and three internal drainage basins (Tsokar, Tsomoriri and Pangong) around the Ladakh region for 1977, 1993, 2009 and 2019. The inventory includes all the glaciers (2257) of the region larger than 0.5 km2, covering an area of ~7923 ±106 km2 (equivalent to ~90% of the total glacierised area in the region). The glacier area ranges between 0.5 to 862 km2, most of which belong to the smallest size category (0.5-1 km2). More than 70% of the glaciers are north-facing (NW-N-NE) and concentrated in higher elevation zones between 5000 and 6000m a.s.l. The dataset is a product of a semi-automated approach involving a band ratio approach, manual corrections and quality check.
description: It contains basin wise shapefiles of Ladakh glaciers &gt; 0.5km² for 1977, 1993, 2009 and 2019.
DOI: 10.1594/pangaea.906822
title: (Figure 3 and S1): Stable isotopes (δ18O and δ34S) in porewater sulfate in sediment cores from station P in Kongsfjorden, Svalbard
DOI: 10.1594/pangaea.931159
title: Meteorological Observations at Trakarding Glacier Automatic Weather Station, Rolwaling, Nepal, 2016-2019

description: The data set contains records from an automatic weather station (AWS) installed at the lateral moraine of Trakarding Glacier (4806 m.a.s.l.), Rolwaling, Nepal Himalaya. The station was installed by the authors and has been operating since May 2016, measuring downward and upward solar radiations, albedo, net radiation, surface and air temperatures, relative humidity, air pressure, wind speed, wind direction (degree from north to east), rain by WTX sensor and precipitation by tipping bucket at the one-hour interval. The data provided here represents a cleaned data set extracted from the original data logger files. Radiation data are significant affected by snow. Please see the related journal articles for details on sensors.
DOI: 10.1594/pangaea.946709
title: PISM simulations of idealized shear-margin vs. ice-stream melt

description: PISM model output, runs scripts and plotting scripts. The idealized simulations investigate the influence of basal melting in two different ice-shelf regions on the time-dependent response of an isothermal, inherently buttressed ice-sheet-shelf system. The basal-melt perturbations are applied close to the grounding line in the ice-shelf's 1) ice-stream region, where the ice shelf is fed by the fastest ice masses that stream through the upstream bed trough and 2) shear margins, where the ice flow is slower.
DOI: 10.1594/pangaea.907608
title: (Figure S3): Concentration of 6 M HCl extractable Fe(III) during the time course anoxic bag incubation from station J in Smeerenburgfjorden, Svalbard
DOI: 10.1594/pangaea.907615
title: (Figure 6): Dissolution of Fe(II) for top and bottom anoxic bags at the start and end of the incubations from station AC in Van Keulenfjorden, Svalbard
DOI: 10.1594/pangaea.906893
title: (Figure S4): Concentration of sulfide during the time course anoxic bag incubation from station P in Kongsfjorden, Svalbard
DOI: 10.1594/pangaea.931657
title: Ensemble of 20th century global glacier mass change model reconstruction results

description: The data file contains reconstructions for area, mass, and mass change of glaciers on the global scale, as well as the attached model uncertainties, from 10 model runs, each forced by a different meteorological reanalysis data set. All model setups were statistically optimized regarding the ability to reproduce glaciological mass-balance measurements. The values are specified by regions, following the region definition of the Randolph Glacier Inventory (https://www.glims.org/RGI/). Values are given annually for the years 1901 to 2018, though for the individual model runs they are only given for years in which the respective meteorological data set contains data.
DOI: 10.1594/pangaea.930087
title: A data set of collocated satellite remote sensing reflectance from GlobColour merged products, chlorophyll a concentration of phytoplankton functional types derived from in situ pigment data, and CMEMS sea surface temperature from 2002 to 2012

description: This data set provides the collocated data of remote sensing reflectance (Rrs) at 9 bands extracted from the merged ocean color products from GlobColour archive (https://www.globcolour.info/), satellite sea surface temperature from CMEMS (https://marine.copernicus.eu/), and chlorophyll a concentrations (Chl-a) derived from a global database of in situ HPLC pigment data collected from 2002 to 2012. The total Chl-a, Chl-a of six phytoplankton functional types (PFTs) that are diatoms, dinoflagellates, haptophytes, green algae, prokaryotes and Prochlorococcus, and two fractions of prokaryotes and Prochlorococcus are included in this data set. PFT Chl-a and fractions are derived using an updated diagnostic pigment analysis (DPA) method (Soppa et al., 2014; Losa et al., 2017), that was originally developed by Vidussi et al. (2001), adapted in Uitz et al. (2006) and further refined by Hirata et al. (2011) and Brewin et al. (2015). Matchups of satellite Rrs to in situ PFT data (which were also matchups to SST) were extracted from global 4-km daily merged products. Extraction and averaging protocol including quality control were described in detail in Xi et al. (2020).
DOI: 10.1594/pangaea.949791
title: Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites - Surface energy budget componenent data

description: Despite the importance of surface energy budgets (SEBs) for land-climate interactions in the Arctic, uncertainties in their prediction persist. In situ observational data of SEB components - useful for research and model validation - are collected at relatively few sites across the terrestrial Arctic, and not all available datasets are readily interoperable. Furthermore, the terrestrial Arctic consists of a diversity of vegetation types, which are generally not well represented in land surface schemes of current Earth system models.This dataset comprises harmonized, standardized and aggregated in-situ observations of surface energy budget components measured at 64 sites on vegetated and glaciated sites north of 60° latitude, in the time period from 1994 till 2021. The surface energy budget components include net radiation, sensible heat flux, latent heat flux, ground heat flux, net shortwave radiation, net longwave radiation, surface temperature and albedo, which were aggregated to daily mean, minimum and maximum values from hourly and half-hourly measurements. Data were retrieved from the monitoring networks FLUXNET, AmeriFlux, AON, GC-Net and PROMICE.
description: List of Ameriflux, AON and FLUXNET sites contained in this dataset and their corresponding siteid's and doi's: CA-SCB (https://doi.org/10.17190/AMF/1498754), FI-Lom (https://doi.org/10.18140/FLX/1440228), GL-NuF (https://doi.org/10.18140/FLX/1440222), GL-ZaF (https://doi.org/10.18140/FLX/1440223), GL-ZaH (https://doi.org/10.18140/FLX/1440224), RU-Che (https://doi.org/10.18140/FLX/1440181), RU-Cok (https://doi.org/10.18140/FLX/1440182), RU-Sam (https://doi.org/10.18140/FLX/1440185), RU-Tks (https://doi.org/10.18140/FLX/1440244), RU-Vrk (https://doi.org/10.18140/FLX/1440245), SE-St1 (https://doi.org/10.18140/FLX/1440187), SJ-Adv (https://doi.org/10.18140/FLX/1440241), SJ-Blv (https://doi.org/10.18140/FLX/1440242), US-A03 (https://doi.org/10.17190/AMF/1498752), US-A10 (https://doi.org/10.17190/AMF/1498753), US-An1 (https://doi.org/10.17190/AMF/1246142), US-An2 (https://doi.org/10.17190/AMF/1246143), US-An3 (https://doi.org/10.17190/AMF/1246144), US-Atq (https://doi.org/10.17190/AMF/1246029), US-Brw (https://doi.org/10.17190/AMF/1246041), US-EML (https://doi.org/10.17190/AMF/1418678), US-HVa (https://doi.org/10.17190/AMF/1246064), US-ICh (https://doi.org/10.17190/AMF/1246133), US-ICs (https://doi.org/10.17190/AMF/1246130), US-ICt (https://doi.org/10.17190/AMF/1246131), US-Ivo (https://doi.org/10.17190/AMF/1246067), US-NGB (https://doi.org/10.17190/AMF/1436326), US-Upa (https://doi.org/10.17190/AMF/1246108), US-xHE (https://doi.org/10.17190/AMF/1617729), US-xTL (https://doi.org/10.17190/AMF/1617739).
DOI: 10.15468/dl.bbmg9h
title: Occurrence Download

description: A dataset containing 90557 species occurrences available in GBIF matching the query:
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 The dataset includes 90557 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012449-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.906791
title: (Figure 2): Porewater sulfate concentrations in sediment cores from station AC in Van Keulenfjorden, Svalbard
DOI: 10.1594/pangaea.906886
title: (Table S2): Porosity in anoxic bag incubation experiments from station P in Kongsfjorden, Svalbard
DOI: 10.1594/pangaea.948198
title: Correlation of Glacier ELA/Snowlines & Temperature Station data with ERA5 Temperature and Wind Speed, 1979 to 2017

description: This dataset contains the gridded correlation results from a study that sought to better understand the climatic footprint monitored by antipodal mid-latitude glacier populations. Understanding the links between glaciers and climate is critical for accurately interpreting contemporary cryosphere changes, and interrogating the causes of past glacier behavior. However, work is still needed to refine the extent to which they capture regional to hemisphere-scale atmospheric processes. A Pearson's correlation was performed between yearly summer seasonal data from the ERA5 gridded reconstructions of global temperature and wind changes on each available ERA5 pressure level and yearly glacier snowline/ELA elevations in the Southern Alps of New Zealand and in the European Alps. December-Febuary austral summer data was correlated with the Southern Alps records and June-August Northern Hemisphere summer data was correlated with the European Alps. The ERA5 input dataset was regridded onto a new monthly axis representing the true month lengths. Then the weighted seasonal average (December-February and June-August) was calculated. Individuals glaciers with Equilibrium Line Altitude (ELA; European Alps) and End of Summer Snowlines (EOSS; Southern Alps) were selected with respective records covering at least 80% of the 1979-2017/15 analysis period. The records from each glacier were then standardized and an EOF analysis was performed to obtain each location's First Principle Component for input into the Pearson's Correlation. A nearly identical set of analyses was performed using weather stations temperature data instead of glacier ELA/snowlines. The New Zealand station equivalent is from the National Institute of Water and Atmospheric Research (NIWA) New Zealand seven-station (NZ7S) series. The European Alps equivalent is from the HistAlp regional weather station syntheses. This companion analysis allows the glacier's ability to record the climate to be compared to that of meteorological instruments.
DOI: 10.1594/pangaea.904168
title: Hydrological, biogeochemical and carbonate system data in coastal waters and in glacier drainage systems in Kongsfjorden (Svalbard), during July-August 2016: land stations (drainage)

description: Freshwater samples and physical parameterswere also collectedin theglacial drainages surrounding the fjordin 55 sampling points. This included supraglacial streams and proglacial watercourses from the moraines to the coast (0-5 km in length). Temperature and conductivityin freshwaterwere measured with a portable Conductivity-Meter (LF325, WTW). For chemical parameters, a 10 L carboy was submerged in streams until the bubbles were removed. Subsamples were then collected using a silicone tube for the determination of nutrients, DOC, DON, DIC, pH and TA.
DOI: 10.1594/pangaea.906895
title: (Figure S4): Concentration of sulfide during the time course anoxic bag incubation from station J in Smeerenburgfjorden, Svalbard
DOI: 10.1594/pangaea.835495
title: Chlorophyll measurements during POSEIDON cruise POS324
DOI: 10.1594/pangaea.906772
title: (Figure 2): Porewater sulfate concentrations in sediment cores from station P in Kongsfjorden, Svalbard
DOI: 10.1594/pangaea.907607
title: (Figure S3): Concentration of 6 M HCl extractable Fe(III) during the time course anoxic bag incubation from station P in Kongsfjorden, Svalbard
DOI: 10.1594/pangaea.907618
title: (Figure 4): Sulfate reduction and oxidation rates from station AC in Van Keulenfjorden, Svalbard

description: #0 = below detection
DOI: 10.1594/pangaea.907059
title: (Figure S2): Concentration of sulfate during the time course anoxic bag incubation from station J in Smeerenburgfjorden, Svalbard
DOI: 10.1594/pangaea.899252
title: Attenuation of Sound in Glacier Ice from 2 kHz to 35 kHz

description: The acoustic damping of sound waves in natural glaciers is a largely unexplored physical property that has relevance for various applications. We present measurements of the attenuation of sound in ice with a dedicated measurement setup in situ on the Italian glacier Langenferner. The tested frequency ranges from 2 kHz to 35 kHz and probed distances between 5 meter and 90 meter. The attenuation length has been determined by two different methods and detailed investigations of systematic uncertainties. The attenuation length decreases slowly with increasing frequencies. Observed values range between 13 meter for low frequencies and 5 meter for high frequencies.The here presented results strongly improve in accuracy with respect to previous measurements. However, quantitatively the found attenuation is remarkably similar to observations at very different locations.
description: The dataset contains results in machine-readable form (table 5 in the publication), as well as measurment data to allow for additional analysis and reproduction of the results.
description: Supplement to: Meyer, Alexander; Eliseev, Dmitry; Heinen, Dirk; Linder, Peter; Scholz, Franziska; Weinstock, Lars Steffen; Wiebusch, Christopher; Zierke, Simon (2019): Attenuation of sound in glacier ice from 2 to 35 kHz. The Cryosphere, 13(4), 1381-1394