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  • 1
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    Unknown
    PANGAEA
    Publication Date: 2023-03-08
    Keywords: AGE; Age, comment; Age, maximum/old; Age, minimum/young; Interpretation from literature (PKDB); LATITUDE; LONGITUDE; Paleoclimate Database of the Quaternary; PKDB; PKDB9435; Precipitation, relative difference
    Type: Dataset
    Format: text/tab-separated-values, 12 data points
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  • 2
    Publication Date: 2024-05-27
    Keywords: Abrupt Climate Changes and Environmental Responses; Accumulation model; ACER; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Charcoal; Classical age-modeling approach, CLAM (Blaauw, 2010); DEPTH, sediment/rock; Sample ID; Type of age model; Unit; Wonderkrater_borehole_4
    Type: Dataset
    Format: text/tab-separated-values, 243 data points
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  • 3
    Publication Date: 2024-05-27
    Keywords: Abrupt Climate Changes and Environmental Responses; Acacia; Acalypha; Acanthaceae; Accumulation model; ACER; Aizoaceae; Alchornea; Allophylus; Aloe-type; Amaranthaceae/Chenopodiaceae; Anthospermum; Apiaceae; Aquatics; Arecaceae; Artemisia; Asparagus-type; Asteraceae; Bequaertiodendron; Brachystegia; Burkea; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Campanulaceae; Capparaceae; Caryophyllaceae; Celastraceae; Celtis; Cephalaria; Classical age-modeling approach, CLAM (Blaauw, 2010); Cliffortia; Clutia; Combretaceae; Commelinaceae; Commiphora; Convolvulaceae; Counting, palynology; Crassulaceae; Croton; Cyperaceae; DEPTH, sediment/rock; Dichrostachys; Diospyros; Dodonaea; Dombeya; Encephalartos; Ericaceae; Euclea; Euphorbia; Gentianaceae; Grewia; Gunnera; Heteromorpha; Isoglossa; Kiggelaria/Spirostachys; Kirkia; Lamiaceae; Liliaceae; Linaceae; Lycopodium; Malvaceae; Mimosoideae; Mohria; Myrica; Myrothamnus; Myrsine; Myrtaceae; Nyctaginaceae; Nymphaeaceae; Oleaceae; Ophioglossum; Oxygonum; Passerina; Pellaea-type; Peltophorum; Periplocaceae; Phaeoceros; Pinus; Poaceae; Podocarpus; Polygalaceae; Polygonum; Polypodiaceae; Polypodiales; Potamogetonaceae; Proteaceae; Pteris; Ranunculaceae; Restionaceae; Rhamnaceae; Rhus; Riccia; Rosaceae; Rumex; Sample ID; Scabiosa; Sclerocarya; Scrophulariaceae; Stoebe-type; Tarchonanthus; Thymelaeaceae; Tribulus; Tswaing_Crater; Tulbaghia-type; Type of age model; Typha; Unknown; Vangueria
    Type: Dataset
    Format: text/tab-separated-values, 8700 data points
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  • 4
    Publication Date: 2024-05-27
    Keywords: Abrupt Climate Changes and Environmental Responses; Acacia; Acalypha; ACER; Aizoaceae; Alchornea; Aloe; Amaranthaceae; Anthospermum; Apiaceae; Arecaceae; Artemisia afra; Artemisia-type; Ascolepis; Asparagus; Asteraceae; Bequaertiodendron; Berkheya-type; Brachystegia; Burkea; Campanulaceae; Canthium; Capparidaceae; Celastraceae; Celtis; Cephalaria; Chenopodiaceae; Cliffortia; Clutia; Combretaceae; Commelinaceae; Commiphora; Convolvulaceae; Counting, palynology; Crassulaceae; Croton; Cyperaceae; DEPTH, sediment/rock; Dicliptera-type; Dicoma-type; Diospyros; Dombeya; Encephalartos; Ericaceae; Eriocaulon; Euclea; Euphorbia; Gentianaceae; Gerbera-type; Grewia; Gunnera; Haloragaceae; Heteromorpha; Hydrocotyle; Justicia-type; Kiggelaria/Spirostachys; Kirkia; Lamiaceae; Lannea; Lentibulariaceae; Liliaceae; Ludwigia; Lycium; Lycopodium; Macrorungia-type; Malvaceae; Marsilea; Mimosoideae; Mimusops; Mohria; Monechma-type; Myrica; Myrothamnus; Myrsine; Myrtaceae; Nymphaea; Oleaceae; Ophioglossum; Oxygonum; Pacourina-type; Passerina; Pellaea; Peltophorum; Pentzia-type; Phaeoceros; Plantago; Poaceae; Podocarpus; Polygala; Polygonum; Polypodiaceae; Polypodiales; Potamogetonaceae; Proteaceae; Psoralea; Pteris; Ranunculaceae; Restionaceae; Rhamnaceae; Rhus; Riccia; Rubiaceae; Ruschia; Sample ID; Scabiosa; Sclerocarya; Selaginella; Selago-type; Solanaceae; Stoebe-type; Tarchonanthus; Thymelaeaceae; Trema; Tribulus; Tulbaghia; Typha; Unknown; Vangueria; Vernonieae; Wonderkrater_borehole_3
    Type: Dataset
    Format: text/tab-separated-values, 6496 data points
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  • 5
    Publication Date: 2024-05-27
    Keywords: Abrupt Climate Changes and Environmental Responses; Acacia; Acalypha; Accumulation model; ACER; Aizoaceae; Alchornea; Aloe; Amaranthaceae; Anthospermum; Apiaceae; Arecaceae; Artemisia afra; Artemisia-type; Ascolepis; Asparagus; Asteraceae; Bequaertiodendron; Berkheya-type; Brachystegia; Burkea; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Campanulaceae; Canthium; Capparidaceae; Celastraceae; Celtis; Cephalaria; Chenopodiaceae; Classical age-modeling approach, CLAM (Blaauw, 2010); Cliffortia; Clutia; Combretaceae; Commelinaceae; Commiphora; Convolvulaceae; Counting, palynology; Crassulaceae; Croton; Cyperaceae; DEPTH, sediment/rock; Dicliptera-type; Dicoma-type; Diospyros; Dombeya; Encephalartos; Ericaceae; Eriocaulon; Euclea; Euphorbia; Gentianaceae; Gerbera-type; Grewia; Gunnera; Haloragaceae; Heteromorpha; Hydrocotyle; Justicia-type; Kiggelaria/Spirostachys; Kirkia; Lamiaceae; Lannea; Lentibulariaceae; Liliaceae; Ludwigia; Lycium; Lycopodium; Macrorungia-type; Malvaceae; Marsilea; Mimosoideae; Mimusops; Mohria; Monechma-type; Myrica; Myrothamnus; Myrsine; Myrtaceae; Nymphaea; Oleaceae; Ophioglossum; Oxygonum; Pacourina-type; Passerina; Pellaea; Peltophorum; Pentzia-type; Phaeoceros; Plantago; Poaceae; Podocarpus; Polygala; Polygonum; Polypodiaceae; Polypodiales; Potamogetonaceae; Proteaceae; Psoralea; Pteris; Ranunculaceae; Restionaceae; Rhamnaceae; Rhus; Riccia; Rubiaceae; Ruschia; Sample ID; Scabiosa; Sclerocarya; Selaginella; Selago-type; Solanaceae; Stoebe-type; Tarchonanthus; Thymelaeaceae; Trema; Tribulus; Tulbaghia; Type of age model; Typha; Unknown; Vangueria; Vernonieae; Wonderkrater_borehole_4
    Type: Dataset
    Format: text/tab-separated-values, 3746 data points
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  • 6
    Publication Date: 2024-05-27
    Keywords: Abrupt Climate Changes and Environmental Responses; Accumulation model; ACER; Calendar age; Calendar age, maximum/old; Calendar age, minimum/young; Charcoal; Classical age-modeling approach, CLAM (Blaauw, 2010); DEPTH, sediment/rock; Sample ID; Tswaing_Crater; Type of age model; Unit
    Type: Dataset
    Format: text/tab-separated-values, 294 data points
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  • 7
    Publication Date: 2019-07-16
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 8
    Publication Date: 2021-03-29
    Description: Aus der Fundschicht des fossilen Menschenschädels von Rhünda wurden C14-Gehalt und C13-Abweichung von Kalksinter-Inkrustationen um Algen und Pflanzenhäcksel gemessen. Die Fundschicht ist danach 9000 Jahre, bei Berücksichtigung von möglicherweise eingelagertem Löß-Kalk mindestens 8500 Jahre alt und stammt somit aus dem späten Präboreal, allenfalls aus dem Beginn des Boreals.
    Description: research
    Keywords: 551.7 ; VAR 000 ; Glazialgeologie ; pflanzenrest ; C-14 ; schädel von rhünda iii ; kalksinter-inkrustination ; algen ; löß-kalk ; boreal
    Language: German
    Type: article , publishedVersion
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  • 9
    Publication Date: 2021-03-29
    Description: The St. Servatius Church in Quedlinburg (UNESCO’s World Heritage Site, Germany) is characterised by long-standing stability problems and structural damages, which have been known over the last several centuries. The monotonous Cretaceous sandstone with its poor lithification is considered to be the main factor. The sandstone is characterised by a high porosity of around 30 Vol.% (max. ca. 35 Vol.%) and a corresponding high w-value. The porosity and the degree of cementation are responsible for the very low compressive strength of around 8 MPa at maximum, whereas under moisture these values are significantly reduced up to 40%. The freeze–thaw tests indicate a very poor resistance to frost weathering, which may explain the near-surface softening of the sandstone. Direct shear experiments with an approximate 60° angle of friction on the sandstone clearly demonstrate the safety margins. Initial geotechnical modelling does not favour the hypothesis that a landslide of the hill parallel to the southward dipping bedding planes (i.e. shear failure along weak zones) can occur. A prominent clay layer (also with a southward dip) below the entire castle hill is monitored to determine the possible amount of movement with respect to the geological discontinuities (e.g. joints, fractures). At present, a combination of foundation problems are being considered for the stability situation at the church. These include construction deficiencies due to deformation or softening of the foundation of the forerunner churches and missing or faulty connections from building additions. Geological factors responsible for the stability problems include the softening of the sandstone by the influence of weathering and penetrating water as well as the presence of possible shear planes and joints.
    Keywords: Cretaceous sandstone; Lithology; Diagenetic processes; Weathering; Petrophysical properties; Stability assessment ; 551 ; Earth Sciences; Geology
    Language: English
    Type: article , publishedVersion
    Format: application/pdf
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  • 10
    Publication Date: 2022-05-25
    Description: Author Posting. © The Natural History Museum, 2012. This article is posted here by permission of Taylor & Francis for reuse for non-commercial purposes only. The definitive version was published in Systematics and Biodiversity 10 (2012): 1-20, doi:10.1080/14772000.2012.665095.
    Description: The time is ripe for a comprehensive mission to explore and document Earth's species. This calls for a campaign to educate and inspire the next generation of professional and citizen species explorers, investments in cyber-infrastructure and collections to meet the unique needs of the producers and consumers of taxonomic information, and the formation and coordination of a multi-institutional, international, transdisciplinary community of researchers, scholars and engineers with the shared objective of creating a comprehensive inventory of species and detailed map of the biosphere. We conclude that an ambitious goal to describe 10 million species in less than 50 years is attainable based on the strength of 250 years of progress, worldwide collections, existing experts, technological innovation and collaborative teamwork. Existing digitization projects are overcoming obstacles of the past, facilitating collaboration and mobilizing literature, data, images and specimens through cyber technologies. Charting the biosphere is enormously complex, yet necessary expertise can be found through partnerships with engineers, information scientists, sociologists, ecologists, climate scientists, conservation biologists, industrial project managers and taxon specialists, from agrostologists to zoophytologists. Benefits to society of the proposed mission would be profound, immediate and enduring, from detection of early responses of flora and fauna to climate change to opening access to evolutionary designs for solutions to countless practical problems. The impacts on the biodiversity, environmental and evolutionary sciences would be transformative, from ecosystem models calibrated in detail to comprehensive understanding of the origin and evolution of life over its 3.8 billion year history. The resultant cyber-enabled taxonomy, or cybertaxonomy, would open access to biodiversity data to developing nations, assure access to reliable data about species, and change how scientists and citizens alike access, use and think about biological diversity information.
    Description: Funds for the ‘Sustain What?’ workshop were provided by Arizona State University (Office of the President, International Institute for Species Exploration and Global Institute of Sustainability) and a grant from the US National Science Foundation (DEB-1102500 to QDW). Further support was provided by the College of Liberal Arts and Sciences, Arizona State University and NSF (DEB-0316614 to SK).
    Keywords: Biodiversity ; Bioinformatics ; Biomimicry ; Biosphere ; Conservation ; Cyberinfrastructure ; Ecology ; Evolution ; International collaboration ; Organization of science ; Origins ; Species ; Sustainability ; Systematics ; Taxonomy ; Team work
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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