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  • 1
    Online Resource
    Online Resource
    Patterns and Processes of Speciation in Ancient Lakes : Proceedings of the Fourth Symposium on Speciation in Ancient Lakes, Berlin, Germany, September 4-8 2006. (2008)
    Dordrecht :Springer Netherlands,
    Details
    Keywords: Species -- Congresses. ; Lakes -- Congresses. ; Lake ecology -- Congresses. ; Biodiversity -- Congresses. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (240 pages)
    Edition: 1st ed.
    ISBN: 9781402095825
    Series Statement: Developments in Hydrobiology Series ; v.205
    URL: https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=438055
    DDC: 576.8
    Language: English
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    GEOMAR EBL
  • 2
    Online Resource
    Online Resource
    EnviMetal - Vegetationsstress als Bio-Indikator von Bodenkontaminationen in Flussauen : Abschlussbericht : Laufzeit des Vorhabens: 01.11.2014-31.03.2018, Berichtszeitraum: 01.11.2014-31.03.2018 (2018)
    [Halle (Saale)] : [Martin-Luther-Universität Halle-Wittenberg, Fachgebiet Geofernerkundung und Thematische Kartographie]
    Details Availability
    Keywords: Forschungsbericht
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (65 Seiten, 3,00 MB) , Illustrationen, Diagramme
    URL: https://doi.org/10.2314/KXP:1693363569
    DOI: 10.2314/KXP:1693363569
    Language: German
    Note: Förderkennzeichen BMWi 50 EE 1346 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden
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  • 3
    Online Resource
    Online Resource
    BMBF Wachstumskern TeMaK: Technologieplattform zum Einsatz von Magnesium-Knetlegierungen für den Fahrzeugbau im Produktionszyklus : Verbundprojekt V 3: Innovative Technologien zum Fügen von Magnesium-Knetlegierungen : Teilprojekt 3.2: Darstellung von Tailored Products (Blanks und Tubes) : Abschlussbericht : Berichtszeitraum: 01.07.2011 - 30.06.2014 (2014)
    Chemnitz
    Details Availability
    Keywords: Forschungsbericht ; Kraftwagen ; Karosserie ; Leichtbau ; Knetlegierung ; Magnesiumlegierung ; Tailored tubes ; Tailored blank
    Type of Medium: Online Resource
    Pages: Online-Ressource (40 Seiten, 2,65 MB) , Illustrationen, graphische Darstellungen
    URL: https://edocs.tib.eu/files/e01fb16/846340798.pdf
    URL: https://doi.org/10.2314/GBV:846340798
    DOI: 10.2314/GBV:846340798
    Language: German
    Note: Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Förderkennzeichen BMBF 03WKCA03B. - Verbund-Nr. 01090705 , Systemvoraussetzungen: Acrobat reader.
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  • 4
    Online Resource
    Online Resource
    BMBF Wachstumskern TeMaK: Technologieplattform zum Einsatz von Magnesium-Knetlegierungen für den Fahrzeugbau im Produktionszyklus, Verbundprojekt V 4: Innovative Technologien zum Fügen von Magnesium-Knetlegierungen, Teilprojekt V 4.2: Innovative Technologien zum Laser- und Laser-MIG-Schweißen sowie zum punktförmigen Umformfügen von Magnesium-Knetlegierungen, Teilprojekt V 4.2.1: Laser- und Laser-MIG-Schweißen, Teilprojekt V 4.2.2: Umformfügen : Abschlussbericht ; Berichtszeitraum: 01.04.2007 - 31.03.2010 (2010)
    Chemnitz : Fraunhofer IWU
    Details Availability
    Keywords: Forschungsbericht
    Type of Medium: Online Resource
    Pages: Online-Ressource (57 S., 6,96 MB) , Ill., graph. Darst.
    URL: https://edocs.tib.eu/files/e01fb11/644465468.pdf
    URL: https://doi.org/10.2314/GBV:644465468
    URL: https://edocs.tib.eu/files/e01fb11/644465468l.pdf
    DOI: 10.2314/GBV:644465468
    Language: German
    Note: Förderkennzeichen BMBF 03WKBF2B. - Verbund-Nr. 01055194 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden. - Auch als gedr. Ausg. vorhanden , Systemvoraussetzungen: Acrobat reader.
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  • 5
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    Pollen and non-pollen palynomorph records of the Holocene part of the composite sediment core TMD from lake Tso Moriri (NW India) and of modern surface samples from the Tso Moriri region (2014)
    PANGAEA
    In:  Supplement to: Leipe, Christian; Demske, Dieter; Tarasov, Pavel E; Wünnemann, Bernd; Riedel, Frank (2014): Potential of pollen and non-pollen palynomorph records from Tso Moriri Trans-Himalaya, NW India) for reconstructing Holocene limnology, and human-environmental interactions. Quaternary International, 348, 113-129, https://doi.org/10.1016/j.quaint.2014.02.026
    Details
    Publication Date: 2023-01-13
    Description: The high-altitude lake Tso Moriri (32°55'46'' N, 78°19'24'' E; 4522 m a.s.l.) is situated at the margin of the ISM and westerly influences in the Trans-Himalayan region of Ladakh. Human settlements are rare and domestic and wild animals are concentrating at the alpine meadows. A set of modern surface samples and fossil pollen from deep-water TMD core was evaluated with a focus on indicator types revealing human impact, grazing activities and lake system development during the last ca. 12 cal ka BP. Furthermore, the non-pollen palynomorph (NPP) record, comprising remains of limnic algae and invertebrates as well as fungal spores and charred plant tissue fragments, were examined in order to attest palaeolimnic phases and human impact, respectively. Changes in the early and middle Holocene limnic environment are mainly influenced by regional climatic conditions and glacier-fed meltwater flow in the catchment area. The NPP record indicates low lake productivity with high influx of freshwater between ca. 11.5 and 4.5 cal ka BP which is in agreement with the regional monsoon dynamics and published climate reconstructions. Geomorphologic observations suggest that during this period of enhanced precipitation the lake had a regular outflow and contributed large amounts of water to the Sutlej River, the lower reaches of which were integral part of the Indus Civilization area. The inferred minimum fresh water input and maximum lake productivity between ca. 4.5-1.8 cal ka BP coincides with the reconstruction of greatest aridity and glaciation in the Korzong valley resulting in significantly reduced or even ceased outflow. We suggest that lowered lake levels and river discharge on a larger regional scale may have caused irrigation problems and harvest losses in the Indus valley and lowlands occupied by sedentary agricultural communities. This scenario, in turn, supports the theory that, Mature Harappan urbanism (ca. 4.5-3.9 cal ka BP) emerged in order to facilitate storage, protection, administration, and redistribution of crop yields and secondly, the eventual collapse of the Harappan Culture (ca. 3.5-3 cal ka BP) was promoted by prolonged aridity. There is no clear evidence for human impact around Tso Moriri prior to ca. 3.7 cal ka BP, with a more distinct record since ca. 2.7 cal ka BP. This suggests that the sedimentary record from Tso Moriri primarily archives the regional climate history.
    Type: Dataset
    Format: application/zip, 5 datasets
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    DATA PANGAEA
  • 6
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    Tree-ring width indices (RWI) of an African baobab (Adansonia digitata) tree from Oman (2019)
    PANGAEA
    Details
    Publication Date: 2023-01-13
    Description: The surface of the wood core was prepared with a razor blade perpendicular to the longitudinal stem growth and photographs were taken with a fluorescence microscope (Nikon MULTIZOOM AZ100M, V-2A: 380-420 nm; camera head: Nikon digital sight DS-Fi1c; light source: C-HGFI HG Precenteres Fiber Illumiator (130 W mercury lamp); program: NIS Elements 4.30.01© 1991-2014 Laboratory Imaging). Tree-ring width measurements were performed on a stitched panorama of overlapping core pictures by using Windendro (Regents Inst. Canada). Data was detrended using an exponential fit (R program, package dplR; Bunn et al., 2018) resulting in a dimensionless ring-width index chronology (RWI) for the time period 1911 to 2005CE.
    Keywords: Age; AGE; Oman; Species; TREE; Tree ring sampling; Tree-ring width indices; Wadi_Hinna_Adansonia_digitata
    Type: Dataset
    Format: text/tab-separated-values, 282 data points
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  • 7
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    Normalized 14C activity ratios (F14C), tree-ring width indices (RWI) and subseasonal δ13C and δ18O of tree-ring cellulose of an African baobab (Adansonia digitata) tree from Oman (2019)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Normalized 14C activity ratios (F14C), tree-ring width indices (RWI) and subseasonal δ13C and δ18O of tree-ring cellulose of an African baobab (Adansonia digitata) analyses were performed on a ca. 80cm long, SW oriented wood increment core (12mm OD) sampled in April 2015.
    Keywords: Adansonia digitata; baobab; cellulose; d13C; d18O; Oman; tree rings
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 8
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    Subseasonal δ13C and δ18O of tree-ring cellulose of an African baobab (Adansonia digitata) tree from Oman (2019)
    PANGAEA
    Details
    Publication Date: 2023-01-30
    Description: Carbon and oxygen stable isotope data of tree-ring cellulose covers the period from 1941 to 2005CE. Tangential wood slices of approximately 1 mm were cut parallel to the fiber orientation, in radial direction from the cambial zone towards the pith resulting in resolutions from 1 up to 11 samples per year. Visible rays and other identified parenchymatous structures were removed from the wood slices to minimize possible contamination. Cellulose was extracted from wood samples after Wieloch et al. (2011). After extraction cellulose samples were homogenized by ultrasonic treatment (Laumer et al., 2009), and freeze-dried for at least 48 h. 130 180 μg of cellulose were packed in silver capsules and stored over night at 100 °C in a vacuum drying oven (ThermoFisher Heraeus VT 6060) prior to isotope ratio mass spectrometry. δ13C and δ18O were measured simultaneously by reduction of cellulose samples to carbon monoxide in a high temperature TC/EA converter (1400 °C) coupled online to an IRMS Delta V Plus (Thermo Fisher Scientific, Bremen, Germany). Values are referred to VPDB and VSMOW, respectively with a reproducibility of ≤ 0.15 for δ13C and ≤ 0.25 for δ18O.
    Keywords: Adansonia digitata; Age; AGE; baobab; cellulose; d13C; d18O; Oman; TREE; tree rings; Tree ring sampling; Wadi_Hinna_Adansonia_digitata; δ13C, tree rings; δ18O, tree rings
    Type: Dataset
    Format: text/tab-separated-values, 1023 data points
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    DATA PANGAEA
  • 9
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    Stable water isotopes of precipitation and different surface waters in southern Africa, sampled from 2016 to 2021 (2022)
    PANGAEA
    Details
    Publication Date: 2023-02-12
    Description: Water samples of precipitation and different surface waters were collected between 2016 and 2021 in southern Africa using narrow-neck bottles of 300 ml volume. The bottles were stored in a refrigerator until measurements. The stable isotope ratios of oxygen (18O/16O) and hydrogen (2H/1H) of the water samples were measured using a PICARRO L1102-i isotope analyzer (WS-CRDS). Calibration of the measurements was done with VSMOW, SLAP and GISP standards from the IAEA. A total of six replicate injections were performed for each sample and mean and standard deviations (1 sigma) were calculated, resulting in a reproducibility of the replicate measurements of generally better than 0.1 ‰ for oxygen and 0.5 ‰ for hydrogen. The aim of this data collection is to fill a gap in southern Africa, where isotopic data on precipitation and surface waters do not have sufficient spatial coverage and are mainly sampled before 2013. Regional studies of meteorology, hydrology, environmental geochemistry and paleoclimate may benefit from this dataset.
    Keywords: 18K1; 18K10; 18K11; 18K12; 18K13; 18K2; 18K3; 18K4; 18K5; 18K6; 18K7; 18K8; 18K9; 19KHJA1; 19KHJA2; 19KHJA3; 19KHJA4; 19KHS1W; 19KHS2W; 19KHS3W; 19KHS4W; 19KHS5W; 19KHS6W; 19KHW01; 19KHW02; 19KHW03; 19KHW04; 19KHW05; 19KHW06; 19KHW07; 19KHW08; 19KHW09; 19KHW10; 19KHW11; 19KHW12; 19KHW13; 19KHW14; 19KHW15; 19KHW16; 19KHW17; 19KHW18; 19KHW19; 19KHW20; 19KHW21; 19KHW22; 19KHW23; 19KHW24; 19KHW25; 19KHW26; 19KHW27; 19KHW28; 19KHW29; 19KHW30; 19KHW31; 19KHW32; 19KHW33; 19KHW34; 19KHW35; 19KHW36; 19KHW37; 19KHW38; 19KHW39; 19KHW40; 19KHW41; 19KHW42; 19LESSA10W; 19LESSA11W; 19LESSA12W; 19LESSA13W; 19LESSA14W; 19LESSA15W; 19LESSA16W; 19LESSA17W; 19LESSA18W; 19LESSA19W; 19LESSA1W; 19LESSA20W; 19LESSA21W; 19LESSA22W; 19LESSA23W; 19LESSA24W; 19LESSA25W; 19LESSA26W; 19LESSA27W; 19LESSA28W; 19LESSA29W; 19LESSA2W; 19LESSA30W; 19LESSA31W; 19LESSA32W; 19LESSA33W; 19LESSA34W; 19LESSA35W; 19LESSA36W; 19LESSA3W; 19LESSA4W; 19LESSA5W; 19LESSA6W; 19LESSA7W; 19LESSA8W; 19LESSA9W; 20KHW1; 20KHW10; 20KHW11; 20KHW12; 20KHW13; 20KHW14; 20KHW15; 20KHW16; 20KHW17; 20KHW18; 20KHW19; 20KHW2; 20KHW3; 20KHW4; 20KHW5; 20KHW6; 20KHW7; 20KHW8; 20KHW9; 21KHW1; 21KHW10; 21KHW11; 21KHW12; 21KHW13; 21KHW14; 21KHW15; 21KHW16; 21KHW17; 21KHW18; 21KHW19; 21KHW2; 21KHW20; 21KHW21; 21KHW22; 21KHW23; 21KHW24; 21KHW25; 21KHW26; 21KHW27; 21KHW28; 21KHW29; 21KHW3; 21KHW30; 21KHW31; 21KHW32; 21KHW33; 21KHW34; 21KHW35; 21KHW36; 21KHW37; 21KHW38; 21KHW39; 21KHW4; 21KHW5; 21KHW6; 21KHW7; 21KHW8; 21KHW9; ANW1; ANW2; ANW3; ANW4; ANW5; ANW6; ANW7; ANW8; DATE/TIME; DBW1; DBW2; DBW3; DBW4; DBW5; DBW6; Event label; GABORONEW3; GABORONEW5; GABORONEW6; GABORONEW7; GABORONEW8; LATITUDE; LO1; LONGITUDE; MAHALAPYERIVERW4; MOREMIGORGEW1; MOREMIGORGEW2; Picarro L1102-i instrument; Sample comment; Sample ID; Sample type; SLW1; SLW10; SLW11; SLW12; SLW13; SLW14; SLW15; SLW16; SLW17; SLW18; SLW19; SLW2; SLW20; SLW21; SLW22; SLW23; SLW24; SLW25; SLW26; SLW27; SLW28; SLW29; SLW3; SLW30; SLW31; SLW32; SLW33; SLW34; SLW35; SLW36; SLW37A; SLW37B; SLW38; SLW4; SLW5; SLW6; SLW7; SLW8; SLW9; Southern Africa; SSW1; SSW10; SSW11; SSW12; SSW13; SSW14; SSW15; SSW16; SSW17; SSW2; SSW3; SSW4; SSW5; SSW6; SSW7; SSW8; SSW9; stable water isotopes; UW1; UW2; UW3; UW4; UW5; WaterSA_18K1; WaterSA_18K10; WaterSA_18K11; WaterSA_18K12; WaterSA_18K13; WaterSA_18K2; WaterSA_18K3; WaterSA_18K4; WaterSA_18K5; WaterSA_18K6; WaterSA_18K7; WaterSA_18K8; WaterSA_18K9; WaterSA_19KHJA1; WaterSA_19KHJA2; WaterSA_19KHJA3; WaterSA_19KHJA4; WaterSA_19KHS1W; WaterSA_19KHS2W; WaterSA_19KHS3W; WaterSA_19KHS4W; WaterSA_19KHS5W; WaterSA_19KHS6W; WaterSA_19KHW01; WaterSA_19KHW02; WaterSA_19KHW03; WaterSA_19KHW04; WaterSA_19KHW05; WaterSA_19KHW06; WaterSA_19KHW07; WaterSA_19KHW08; WaterSA_19KHW09; WaterSA_19KHW10; WaterSA_19KHW11; WaterSA_19KHW12; WaterSA_19KHW13; WaterSA_19KHW14; WaterSA_19KHW15; WaterSA_19KHW16; WaterSA_19KHW17; WaterSA_19KHW18; WaterSA_19KHW19; WaterSA_19KHW20; WaterSA_19KHW21; WaterSA_19KHW22; WaterSA_19KHW23; WaterSA_19KHW24; WaterSA_19KHW25; WaterSA_19KHW26; WaterSA_19KHW27; WaterSA_19KHW28; WaterSA_19KHW29; WaterSA_19KHW30; WaterSA_19KHW31; WaterSA_19KHW32; WaterSA_19KHW33; WaterSA_19KHW34; WaterSA_19KHW35; WaterSA_19KHW36; WaterSA_19KHW37; WaterSA_19KHW38; WaterSA_19KHW39; WaterSA_19KHW40; WaterSA_19KHW41; WaterSA_19KHW42; WaterSA_19LESSA10W; WaterSA_19LESSA11W; WaterSA_19LESSA12W; WaterSA_19LESSA13W; WaterSA_19LESSA14W; WaterSA_19LESSA15W; WaterSA_19LESSA16W; WaterSA_19LESSA17W; WaterSA_19LESSA18W; WaterSA_19LESSA19W; WaterSA_19LESSA1W; WaterSA_19LESSA20W; WaterSA_19LESSA21W; WaterSA_19LESSA22W; WaterSA_19LESSA23W; WaterSA_19LESSA24W; WaterSA_19LESSA25W; WaterSA_19LESSA26W; WaterSA_19LESSA27W; WaterSA_19LESSA28W; WaterSA_19LESSA29W; WaterSA_19LESSA2W; WaterSA_19LESSA30W; WaterSA_19LESSA31W; WaterSA_19LESSA32W; WaterSA_19LESSA33W; WaterSA_19LESSA34W; WaterSA_19LESSA35W; WaterSA_19LESSA36W; WaterSA_19LESSA3W; WaterSA_19LESSA4W; WaterSA_19LESSA5W; WaterSA_19LESSA6W; WaterSA_19LESSA7W; WaterSA_19LESSA8W; WaterSA_19LESSA9W; WaterSA_20KHW1; WaterSA_20KHW10; WaterSA_20KHW11; WaterSA_20KHW12; WaterSA_20KHW13; WaterSA_20KHW14; WaterSA_20KHW15; WaterSA_20KHW16; WaterSA_20KHW17; WaterSA_20KHW18; WaterSA_20KHW19; WaterSA_20KHW2; WaterSA_20KHW3; WaterSA_20KHW4; WaterSA_20KHW5; WaterSA_20KHW6; WaterSA_20KHW7; WaterSA_20KHW8; WaterSA_20KHW9; WaterSA_21KHW1; WaterSA_21KHW10; WaterSA_21KHW11; WaterSA_21KHW12; WaterSA_21KHW13; WaterSA_21KHW14; WaterSA_21KHW15; WaterSA_21KHW16; WaterSA_21KHW17; WaterSA_21KHW18; WaterSA_21KHW19; WaterSA_21KHW2; WaterSA_21KHW20; WaterSA_21KHW21; WaterSA_21KHW22; WaterSA_21KHW23; WaterSA_21KHW24; WaterSA_21KHW25; WaterSA_21KHW26; WaterSA_21KHW27; WaterSA_21KHW28; WaterSA_21KHW29; WaterSA_21KHW3; WaterSA_21KHW30; WaterSA_21KHW31; WaterSA_21KHW32; WaterSA_21KHW33; WaterSA_21KHW34; WaterSA_21KHW35; WaterSA_21KHW36; WaterSA_21KHW37; WaterSA_21KHW38; WaterSA_21KHW39; WaterSA_21KHW4; WaterSA_21KHW5; WaterSA_21KHW6; WaterSA_21KHW7; WaterSA_21KHW8; WaterSA_21KHW9; WaterSA_ANW1; WaterSA_ANW2; WaterSA_ANW3; WaterSA_ANW4; WaterSA_ANW5; WaterSA_ANW6; WaterSA_ANW7; WaterSA_ANW8; WaterSA_DBW1; WaterSA_DBW2; WaterSA_DBW3; WaterSA_DBW4; WaterSA_DBW5; WaterSA_DBW6; WaterSA_GABORONEW3; WaterSA_GABORONEW5; WaterSA_GABORONEW6; WaterSA_GABORONEW7; WaterSA_GABORONEW8; WaterSA_LO1; WaterSA_MAHALAPYERIVERW4; WaterSA_MOREMIGORGEW1; WaterSA_MOREMIGORGEW2; WaterSA_SLW1; WaterSA_SLW10; WaterSA_SLW11; WaterSA_SLW12; WaterSA_SLW13; WaterSA_SLW14; WaterSA_SLW15; WaterSA_SLW16; WaterSA_SLW17; WaterSA_SLW18; WaterSA_SLW19; WaterSA_SLW2; WaterSA_SLW20; WaterSA_SLW21; WaterSA_SLW22; WaterSA_SLW23; WaterSA_SLW24; WaterSA_SLW25; WaterSA_SLW26; WaterSA_SLW27; WaterSA_SLW28; WaterSA_SLW29; WaterSA_SLW3; WaterSA_SLW30; WaterSA_SLW31; WaterSA_SLW32; WaterSA_SLW33; WaterSA_SLW34; WaterSA_SLW35; WaterSA_SLW36; WaterSA_SLW37A; WaterSA_SLW37B; WaterSA_SLW38; WaterSA_SLW4; WaterSA_SLW5; WaterSA_SLW6; WaterSA_SLW7; WaterSA_SLW8; WaterSA_SLW9; WaterSA_SSW1; WaterSA_SSW10; WaterSA_SSW11; WaterSA_SSW12; WaterSA_SSW13; WaterSA_SSW14; WaterSA_SSW15; WaterSA_SSW16; WaterSA_SSW17; WaterSA_SSW2; WaterSA_SSW3; WaterSA_SSW4; WaterSA_SSW5; WaterSA_SSW6; WaterSA_SSW7; WaterSA_SSW8; WaterSA_SSW9; WaterSA_UW1; WaterSA_UW2; WaterSA_UW3; WaterSA_UW4; WaterSA_UW5; WaterSA_WindhoekRain1a; WaterSA_WindhoekRain1b; Water sample; Water sample, precipitation; WindhoekRain1a; WindhoekRain1b; WS; WSP; δ18O; δ18O, water; δ18O, water, standard deviation; δ2H; δ Deuterium, water; δ Deuterium, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 1715 data points
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  • 10
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    Oxygen and carbon isotope values of shells from Radix sp., lake Donggi Cona
    PANGAEA
    Details
    Publication Date: 2023-05-12
    Keywords: LAKE; Lake_DonggiCona; Mass spectrometer MAT-253 ThermoFisher Scientific; Radix sp., δ13C; Radix sp., δ18O; Sample code/label; Sampling lake; Tibetan Plateau
    Type: Dataset
    Format: text/tab-separated-values, 87 data points
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    DATA PANGAEA
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