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  • PANGAEA  (44)
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  • 1
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    PANGAEA
    In:  Supplement to: Hämmerle, Martin; Höfle, Bernhard; Fuchs, Johannes; Schröder-Ritzrau, Andrea; Vollweiler, Nicole; Frank, Norbert (2014): Comparison of kinect and terrestrial LiDAR capturing natural karst cave 3-D objects. IEEE Geoscience and Remote Sensing Letters, 11(11), 1896-1900, https://doi.org/10.1109/LGRS.2014.2313599
    Publication Date: 2023-03-06
    Description: Modeling natural phenomena from 3D information enhances our understanding of the environment. Dense 3D point clouds are increasingly used as highly detailed input datasets. In addition to the capturing techniques of point clouds with LiDAR, low-cost sensors have been released in the last few years providing access to new research fields and facilitating 3D data acquisition for a broader range of applications. This letter presents an analysis of different speleothem features using 3D point clouds acquired with the gaming device Microsoft® Kinect. We compare the Kinect sensor with terrestrial LiDAR reference measurements using the KinFu pipeline for capturing complete 3D objects (〈 4m**3). The results demonstrate the suitability of the Kinect to capture flowstone walls and to derive morphometric parameters of cave features. Although the chosen capturing strategy (KinFu) reveals a high correlation (R2=0.92) of stalagmite morphometry along the vertical object axis, a systematic overestimation (22% for radii and 44% for volume) is found. The comparison of flowstone wall datasets predominantly shows low differences (mean of 1 mm with 7 mm standard deviation) of the order of the Kinect depth precision. For both objects the major differences occur at strongly varying and curved surface structures (e.g. with fine concave parts).
    Keywords: Dechen_Cave; Dechen Cave, Iserlohn, Germany
    Type: Dataset
    Format: application/zip, 4 datasets
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2023-03-06
    Keywords: Dechen_Cave; Dechen Cave, Iserlohn, Germany; Distance, relative, X; Distance, relative, Y; Distance, relative, Z; Structured light camera Microsoft Kinect for XBOX360
    Type: Dataset
    Format: text/tab-separated-values, 189255 data points
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  • 3
    Publication Date: 2023-03-06
    Keywords: Dechen_Cave; Dechen Cave, Iserlohn, Germany; Distance, relative, X; Distance, relative, Y; Distance, relative, Z; Terrestrial Laser Scanner RIEGL VZ-400
    Type: Dataset
    Format: text/tab-separated-values, 389514 data points
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  • 4
    Publication Date: 2023-03-06
    Keywords: Dechen_Cave; Dechen Cave, Iserlohn, Germany; Distance, relative, X; Distance, relative, Y; Distance, relative, Z; Structured light camera Microsoft Kinect for XBOX360
    Type: Dataset
    Format: text/tab-separated-values, 602550 data points
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  • 5
    Publication Date: 2023-03-06
    Keywords: Dechen_Cave; Dechen Cave, Iserlohn, Germany; Distance, relative, X; Distance, relative, Y; Distance, relative, Z; Terrestrial Laser Scanner RIEGL VZ-400
    Type: Dataset
    Format: text/tab-separated-values, 472470 data points
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  • 6
    Publication Date: 2023-02-12
    Keywords: Acanthocorys umbellifera; Actinomma arcadophorum; Actinomma borealis; Amphimelissa setosa; Artostrobus annulatus; Artostrobus borealis; Artostrobus joergenseni; Botryostrobus aquilionaris; Calculated; Campylacantha cladophora; Challengeron spp.; Cladoscenium tricolpium; Collosphaera huxleyi; Cornutella profunda; Corocalyptra craspedota; Counting 〉45 µm fraction; Cycladophora davisiana; DATE/TIME; Date/time end; DEPTH, water; Dictyoceras acanthicum; Dictyophimus histricosus; Duration, number of days; Euphysetta spp.; Euscenium corynephorum; Factor; Global Environmental Change: The Northern North Atlantic; Helotholus histricosa; Hexacontium enthacanthum; Hexacontium pachydermum; Hymeniastrum euclidis; Jan-Mayen Current; Larcopyle buetschlii; Lirella bullata; Lirella melo; Litharachnium tentorium; Lithelius spiralis; Lithomelissa hystrix; Lithomelissa setosa; Lithomitra lineata; Lithostrobus botryocyrtis; Lop. hyperborea; Lophospyris pentagona; MOOR; Mooring; Nassellaria spp.; OG3; Peridium longispinum; Phormacantha hystrix; Phorticium clevei; Plagiacantha arachnoides; Plectacantha oikiskos; Porospathis holostoma; Protocystis spp.; Pseudodictyophimus gracilipes; Radiolarians; Radiolarians valves, flux; Rhizoplegma boreale; Sample code/label; Sethophormis cf. rotula; Sethophormis rotula; SFB313; SFB313Moorings; Spongodiscus resurgens; Spongotrochus glacialis; Spumellaria spp.; Stichocorys seriatus; Streblacantha circumtexta; Zygocircus spp.
    Type: Dataset
    Format: text/tab-separated-values, 2603 data points
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  • 7
    Publication Date: 2023-02-12
    Keywords: Acanthocorys umbellifera; Actinomma arcadophorum; Actinomma borealis; Amphimelissa setosa; Artostrobus annulatus; Artostrobus borealis; Artostrobus joergenseni; Botryostrobus aquilionaris; Calculated; Campylacantha cladophora; Ceratocyrtis histricosa; Challengeron spp.; Cladoscenium tricolpium; Collosphaera huxleyi; Cornutella profunda; Corocalyptra craspedota; Counting 〈45 µm fraction; Counting 〉45 µm fraction; Cycladophora davisiana; DATE/TIME; Date/time end; DEPTH, water; Dictyoceras acanthicum; Duration, number of days; Euphysetta spp.; Euscenium corynephorum; Factor; Global Environmental Change: The Northern North Atlantic; Helotholus histricosa; Hexacontium enthacanthum; Hexacontium pachydermum; Hymeniastrum euclidis; Jan-Mayen Current; Larcopyle buetschlii; Lirella bullata; Lirella melo; Litharachnium tentorium; Lithelius spiralis; Lithomelissa hystrix; Lithomelissa setosa; Lithomitra lineata; Lithostrobus botryocyrtis; Lop. hyperborea; Lophospyris pentagona; MOOR; Mooring; Nassellaria, juvenile; Nassellaria indeterminata; OG5; Peridium longispinum; Phormacantha hystrix; Phorticium clevei; Plagiacantha arachnoides; Plectacantha oikiskos; Porospathis holostoma; Protocystis spp.; Pseudodictyophimus gracilipes; Radiolarians; Radiolarians valves, flux; Rhizoplegma boreale; Sample code/label; Sethophormis cf. rotula; Sethophormis rotula; SFB313; SFB313Moorings; Spongodiscus resurgens; Spongotrochus glacialis; Spumellaria indeterminata; Stichocorys seriatus; Streblacantha circumtexta; Zygocircus spp.
    Type: Dataset
    Format: text/tab-separated-values, 3363 data points
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  • 8
    Publication Date: 2023-02-12
    Keywords: Acanthocorys umbellifera; Actinomma arcadophorum; Actinomma borealis; Amphimelissa setosa; Artostrobus annulatus; Artostrobus borealis; Artostrobus joergenseni; Botryostrobus aquilionaris; Calculated; Campylacantha cladophora; Ceratocyrtis histricosa; Challengeron spp.; Cladoscenium tricolpium; Collosphaera huxleyi; Cornutella profunda; Corocalyptra craspedota; Counting 〈45 µm fraction; Counting 〉45 µm fraction; Cycladophora davisiana; DATE/TIME; Date/time end; DEPTH, water; Dictyoceras acanthicum; Duration, number of days; Euphysetta spp.; Euscenium corynephorum; Factor; Global Environmental Change: The Northern North Atlantic; Gonosphaera primoridalis; Helotholus histricosa; Hexacontium enthacanthum; Hexacontium pachydermum; Hymeniastrum euclidis; Larcopyle buetschlii; Lirella bullata; Lirella melo; Litharachnium tentorium; Lithelius spiralis; Lithomelissa hystrix; Lithomelissa setosa; Lithomitra lineata; Lithostrobus botryocyrtis; Lofoten Basin; Lop. hyperborea; Lophospyris pentagona; MOOR; Mooring; Nassellaria, juvenile; Nassellaria indeterminata; NB6; Peridium longispinum; Phormacantha hystrix; Phorticium clevei; Plagiacantha arachnoides; Plectacantha oikiskos; Porospathis holostoma; Protocystis spp.; Pseudodictyophimus gracilipes; Radiolarians; Radiolarians valves, flux; Rhizoplegma boreale; Sample code/label; Sethophormis cf. rotula; Sethophormis rotula; SFB313; SFB313Moorings; Spongodiscus resurgens; Spongopyle osculosa; Spongotrochus glacialis; Spumellaria indeterminata; Stichocorys seriatus; Streblacantha circumtexta; Stylodictya validispina; Zygocircus spp.
    Type: Dataset
    Format: text/tab-separated-values, 3720 data points
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  • 9
    Publication Date: 2023-07-14
    Description: We present the first high-resolution trace element (Mg/Ca, Sr/Ca, Ba/Ca) record from a stalagmite in southwestern Romania covering the last 3.6 ka, which provides the potential for quantitative climate reconstruction. Precise age control is based on three independent dating methods, in particular for the last 250 yr, where chemical lamina counting is combined with the identification of the 20th century radiocarbon bomb peak and 230Th/U dating. Long-term cave monitoring and model simulations of drip water and speleothem elemental variability indicate that precipitation-related processes are the main drivers of speleothem Mg/Ca ratios. Calibration against instrumental climate data shows a significant anti-correlation of speleothem Mg/Ca ratios with autumn/winter (October to March) precipitation (r = −0.61, p 〈 0.01), which is statistically robust when considering age uncertainties and auto-correlation. This relationship is used to develop a quantitative reconstruction of autumn/winter precipitation. During the late Holocene, our data suggest a heterogeneous pattern of past regional winter hydroclimate in the Carpathian/Balkan realm, along with intermittent weakening of the dominant influence of North Atlantic forcing. In agreement with other regional paleo-hydrological reconstructions, the observed variability reveals periodically occurring strong NW-SE hydro-climate gradients. We hypothesize, that this pattern is caused by shifts of the eastern edge of the area of influence of the NAO across central-eastern Europe due to the confluence of North Atlantic forcing, and other climatic features such as the East Atlantic/Western Russia (EAWR) pattern.
    Keywords: CC_C09-2; Closani Cave, Romania; North Atlantic forcing; precipitation reconstruction; proxy calibration; Romania; speleothem; Speleothem sample; SPS; Stalagmite C09-2; trace elements
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 10
    Publication Date: 2023-07-14
    Keywords: Age; AGE; Age, error; CC_C09-2; Closani Cave, Romania; DISTANCE; North Atlantic forcing; precipitation reconstruction; proxy calibration; Romania; speleothem; Speleothem sample; SPS; Stalagmite C09-2; trace elements; δ13C, carbonate; δ18O, carbonate
    Type: Dataset
    Format: text/tab-separated-values, 7328 data points
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