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  • PANGAEA  (367)
  • Springer Nature  (313)
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  • 1
    Publication Date: 1965-10-01
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 2
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    PANGAEA
    In:  Supplement to: Möller, Marco; Möller, Rebecca (2019): Snow cover variability across glaciers in Nordenskiöldland (Svalbard) from point measurements in 2014–2016. Earth System Science Data Discussions, https://doi.org/10.5194/essd-2018-158
    Publication Date: 2023-01-13
    Description: Snow depths and bulk densities of the annual snow layer were measured at 69 different locations on glaciers across Nordenskiöldland, Svalbard, during the spring seasons of the period 2014–2016. Sampling locations lie along nine transects extending over 17 individual glaciers. Several of the locations were visited repeatedly, leading to a total of 109 point measurements, on which we report in this study. Snow water equivalents were calculated for each point measurement. In the dataset, snow depth and density measurements are accompanied by appropriate uncertainties which are rigorously transferred to the calculated snow water equivalents using a straightforward Monte Carlo simulation-style procedure. The final dataset can be downloaded from the Pangaea data repository (https://www.pangaea.de; https://doi.org/10.1594/PANGAEA.896581). Snow cover data indicate a general and statistically significant increase of snow depths and water equivalents with terrain elevation. A significant increase of both quantities with decreasing distance towards the east coast of Nordenskiöldland is also evident, but shows distinct interannual variability. Snow density does not show any characteristic spatial pattern.
    Keywords: A-01; A-02; A-03; A-04; A-05; A-06; B-01; B-02; B-03; B-04; B-05; B-06; B-07; B-08; B-09; B-10; B-11; C-01; C-02; C-03; C-04; C-05; D-01; D-02; D-03; D-04; D-05; D-06; D-07; DATE/TIME; Density, snow; Density, snow, uncertainty; E-01; E-02; E-03; E-04; E-05; Elevation of event; Event label; F-01; F-02; F-03; F-04; F-05; F-06; F-07; F-08; F-09; F-10; F-11; F-12; Flag; G-01; G-02; G-03; G-04; H-01; H-02; H-03; H-04; H-05; H-06; H-07; H-08; H-09; I-01; I-02; I-03; I-04; I-05; I-06; I-07; I-08; I-09; I-10; ICEM; Ice measurement; Latitude of event; Longitude of event; Number; Randolph Glacier Inventory 6.0, glacier ID; Snow thickness; Snow thickness, uncertainty; Snow water equivalent; Snow water equivalent, uncertainty; Svalbard; Svalbard_A-01; Svalbard_A-02; Svalbard_A-03; Svalbard_A-04; Svalbard_A-05; Svalbard_A-06; Svalbard_B-01; Svalbard_B-02; Svalbard_B-03; Svalbard_B-04; Svalbard_B-05; Svalbard_B-06; Svalbard_B-07; Svalbard_B-08; Svalbard_B-09; Svalbard_B-10; Svalbard_B-11; Svalbard_C-01; Svalbard_C-02; Svalbard_C-03; Svalbard_C-04; Svalbard_C-05; Svalbard_D-01; Svalbard_D-02; Svalbard_D-03; Svalbard_D-04; Svalbard_D-05; Svalbard_D-06; Svalbard_D-07; Svalbard_E-01; Svalbard_E-02; Svalbard_E-03; Svalbard_E-04; Svalbard_E-05; Svalbard_F-01; Svalbard_F-02; Svalbard_F-03; Svalbard_F-04; Svalbard_F-05; Svalbard_F-06; Svalbard_F-07; Svalbard_F-08; Svalbard_F-09; Svalbard_F-10; Svalbard_F-11; Svalbard_F-12; Svalbard_G-01; Svalbard_G-02; Svalbard_G-03; Svalbard_G-04; Svalbard_H-01; Svalbard_H-02; Svalbard_H-03; Svalbard_H-04; Svalbard_H-05; Svalbard_H-06; Svalbard_H-07; Svalbard_H-08; Svalbard_H-09; Svalbard_I-01; Svalbard_I-02; Svalbard_I-03; Svalbard_I-04; Svalbard_I-05; Svalbard_I-06; Svalbard_I-07; Svalbard_I-08; Svalbard_I-09; Svalbard_I-10
    Type: Dataset
    Format: text/tab-separated-values, 981 data points
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  • 3
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    PANGAEA
    In:  Supplement to: Möller, Marco; Möller, Rebecca (2017): Modeling glacier-surface albedo across Svalbard for the 1979-2015 period: The HiRSvaC500-alpha data set. Journal of Advances in Modeling Earth Systems, 9, 19 pp, https://doi.org/10.1002/2016MS000752
    Publication Date: 2023-01-13
    Description: Albedo is an important quantity for determining the energy balance of snow and ice surfaces and thus also for the mass balance of glaciers. It is especially important in polar regions where shortwave radiation fluxes typically provide most of the energy input to a glacier. In order to use albedo data in any spatially distributed glaciological modeling, it is vital that the albedo fields are not only of high accuracy, but also available on sufficiently high spatial resolution and in a manner that is consistent over time. This article presents the newly developed data set HiRSvaC500-alpha which provides daily updated, gapless albedo fields for all glacierized areas of the Arctic archipelago Svalbard on a 500 m resolution over the period 1979–2015. Albedo modeling for creation of the data set is done using a multi-step geostatistical approach on the basis of remotely-sensed Moderate Resolution Imaging Spectroradiometer (MODIS) albedo data and gridded ERA-Interim climate data. Validation of the modeled HiRSvaC500-alpha albedo fields against in situ albedo measurements at automatic weather stations operated on two different glaciers suggests that the accuracy of the newly developed data set lies close to that of remotely-sensed MODIS albedo data. An analysis of the HiRSvaC500-alpha albedo data set yields a mean annual-average albedo of 0.754 across all glaciers of Svalbard over 1979–2015. A decrease of albedo with time is found, following a highly significant (95% level) trend of -0.010 per decade. For certain subregions, this trend even reaches up to -0.014 per decade.
    Keywords: Date/time end; Date/time start; File format; File name; File size; MULT; Multiple investigations; Svalbard; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 216 data points
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  • 4
    Publication Date: 2023-01-13
    Keywords: Ablation; Automatic weather station; AWS; Comment; DATE/TIME; HEIGHT above ground; Humidity, relative; Iceland_AWS; Precipitation; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Surface temperature; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 43854 data points
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  • 5
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    PANGAEA
    In:  Supplement to: Möller, Marco; Möller, Rebecca; Beaudon, Emilie; Mattila, Olli-Pekka; Finkelnburg, Roman; Braun, Matthias Holger; Grabiec, Mariusz; Jonsell, Ulf; Luks, Bartłomiej; Puczko, Dariusz; Scherer, Dieter; Schneider, Christoph (2011): Snowpack characteristics of Vestfonna and De Geerfonna (Nordaustlandet, Svalbard) - a spatiotemporal analysis based on multiyear snow-pit data. Geografiska Annaler Series A-Physical Geography, 93(4), 273-285, https://doi.org/10.1111/j.1468-0459.2011.00440.x
    Publication Date: 2023-12-13
    Description: Extensive glaciological field measurements were carried out on the ice cap Vestfonna as well as on the minor ice body De Geerfonna (Nordaustlandet, Svalbard) within the framework of IPY Kinnvika. Field campaigns were conducted during the period 2007-2010 in spring (April/May) and summer (August). In this study we compile and present snow cover information obtained from 22 snow pits that were dug on Vestfonna during this period. Locations are along two transects on the northwestern, land terminating slope of the ice cap, on its central summit, Ahlmann Summit, and at a set of several other locations in the eastern and northern part of the ice cap. Snow-cover information acquired from four snow pits on adjacent De Geerfonna is also incorporated in this study. Field data are analysed regarding snow stratigraphy, snow density, snow hardness and snow temperature. Results reveal mean snow densities of around 400 kg/m**3 for the snowpack of Vestfonna with no apparent spatial or interannual variability. A distinctly higher value of more than 450 kg/m**3 was obtained for De Geerfonna. A spatial comparison of snow water equivalents above the previous end-of-summer surface serves for obtaining insights into the spatial distribution of snow accumulation across Vestfonna. Altitude was found to be the only significant spatial parameter for controlling snow accumulation across the ice cap.
    Keywords: DATE/TIME; DeGeerfonna_DG; Density, snow; Density, standard deviation; Depth, relative; Depth water equivalent; ELEVATION; Event label; Glacier; Hardness description; Identification; International Polar Year (2007-2008); International Polar Year 2007-2008; IPY; IPY-4; Latitude of event; Longitude of event; Nordaustlandet, Svalbard; SNOWPIT; Snow pit; Standard deviation; Temperature, air; Temperature, ice/snow; Temperature, ice/snow, maximum; Temperature, ice/snow, minimum; Temperature, ice/snow, standard deviation; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; UTM Zone, Universal Transverse Mercator; Vestfonna_V1; Vestfonna_V10; Vestfonna_V11; Vestfonna_V12; Vestfonna_V13; Vestfonna_V14; Vestfonna_V15; Vestfonna_V16; Vestfonna_V17; Vestfonna_V18; Vestfonna_V2; Vestfonna_V3; Vestfonna_V4; Vestfonna_V5; Vestfonna_V6; Vestfonna_V7; Vestfonna_V8; Vestfonna_V9
    Type: Dataset
    Format: text/tab-separated-values, 454 data points
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  • 6
    Publication Date: 2024-04-07
    Description: Mathematics Education, Philosophy of Education, Educational Philosophy
    Keywords: Mathematics Education ; Philosophy of Education ; Educational Philosophy ; thema EDItEUR::P Mathematics and Science
    Language: English
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  • 7
    Publication Date: 2024-04-06
    Description: ​Dieses Open-Access-essential schafft Orientierung, wenn Künstliche Intelligenz im klinischen Alltag eingesetzt wird. Die Herausforderungen werden anhand zweier Beispiele aus dem Bereich der Nephrologie erläutert, die ethisch und rechtlich reflektiert werden. Ein umfangreicher Empfehlungsteil schließt diesen durchweg interdisziplinär erarbeiteten Band ab.
    Keywords: Künstliche Intelligenz ; Maschinelles Lernen ; Medizin ; Klinik ; Entscheidungsfindung ; Meaningful Human Control ; Bedeutsame menschliche Kontrolle ; Governance ; Medizinische Unterstützungssysteme ; thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVJ Health economics ; thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQC Nursing ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTQ Ethics and moral philosophy ; thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJR Renal medicine and nephrology
    Language: German
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  • 8
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    Springer Nature | J.B. Metzler
    Publication Date: 2024-04-05
    Description: Das vorliegende Open-Access-Buch zeigt, wie Kinder im Grundschulalter auf philosophische Gedanken reagieren. Diese werden den Kindern in Form von Kürzesttexten dargeboten. Auf Veranschaulichungen wird bewusst verzichtet. Dieser Zugang zum Philosophieren erscheint ungewöhnlich, wird doch in der Regel beim Philosophieren mit Kindern auf anschauliche Zugänge zurückgegriffen. Es zeigt sich jedoch, dass Kinder auf diese ungewöhnliche Einladung auf ebenso ungewöhnliche, eigenwillige und kreative Weise reagieren. Die vorliegende empirische Studie kommt mithin zu dem Ergebnis: Der Einsatz von Kürzesttexten erweist sich als lohnend.
    Keywords: Philosophieren mit Kindern ; Qualitative Inhaltsanalyse ; Kürzesttexte ; Philosophiedidaktik ; empirische Bildungsforschung ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy
    Language: German
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  • 9
  • 10
    Publication Date: 2015-08-02
    Description: Article G protein-coupled receptors (GPCRs) are the largest family of transmembrane signaling proteins in humans and exhibit diverse activation mechanisms. Here, the authors combine electron microscopy, hydrogen deuterium exchange and Molecular dynamics simulations to gain insight into the activation mechanism of the glucagon receptor. Nature Communications doi: 10.1038/ncomms8859 Authors: Linlin Yang, Dehua Yang, Chris de Graaf, Arne Moeller, Graham M. West, Venkatasubramanian Dharmarajan, Chong Wang, Fai Y. Siu, Gaojie Song, Steffen Reedtz-Runge, Bruce D. Pascal, Beili Wu, Clinton S. Potter, Hu Zhou, Patrick R. Griffin, Bridget Carragher, Huaiyu Yang, Ming-Wei Wang, Raymond C. Stevens, Hualiang Jiang
    Electronic ISSN: 2041-1723
    Topics: Biology , Chemistry and Pharmacology , Natural Sciences in General , Physics
    Published by Springer Nature
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