ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

X
feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
Collection
Keywords
Publisher
Years
  • 1
    facet.materialart.
    Unknown
    MAAT, MAP and pH in soils and peats (2022)
    PANGAEA
    Details
    Publication Date: 2024-02-24
    Description: Branched glycerol dialkyl glycerol tetraethers (brGDGTs) are a family of bacterial lipids which have emerged over time as robust temperature and pH paleoproxies in continental settings. Despite improvements in brGDGT analytical methods and development of refined models, the root-mean-square error (RMSE) associated with global calibrations between brGDGT distribution and MAAT in soils and peats remains high (~ 5 °C). Here we proposed to extend the global brGDGT terrestrial dataset previously proposed (n = 663; Dearing Crampton-Flood et al., 2019) with 112 soil samples from 6 altitudinal transects located in France (n = 49), Italy (n = 24), Tibet (n = 17), Chile (n = 8) and Peru (n =14). The transects were selected to take into account as much climatic and environmental variability as possible. All of these surficial soil samples (0 -10 cm depth) cover a wide range of temperatures (0°C to 26°C) and pH (3 to 8) and are representative of a wide diversity of environmental variables, vegetation and soil type. These new data were combined with previously published ones. This allowed the development of a new global terrestrial brGDGT temperature calibration from a worldwide extended dataset (i.e. 775 soil and peat samples) using a machine learning algorithm. This new model, called random Forest Regression for PaleOMAAT using brGDGTs (FROG), represents a refined brGDGT temperature calibration (R² = 0.8; RMSE = 4.01°C) for soils and peats, more robust and accurate than previous global soil calibrations while being proposed on an extended dataset.
    Keywords: Area/locality; branched GDGT; Branched GDGTs; Chile; DATE/TIME; ELEVATION; Event label; France; GDGT; GDGTs; global temperature calibration; Italy; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; MAAT; machine learning; MULT; Multiple investigations; peat; Peru; pH; Precipitation, annual, mean; Reference/source; Sample ID; Sample type; Soil; Temperature, air, annual mean; Tibet
    Type: Dataset
    Format: text/tab-separated-values, 725 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 2
    facet.materialart.
    Unknown
    Bulk geochemical data and fractional abundances of brGDGTs and brGMGTs in soils, SPM and sediments in the Seine River basin (NW France) (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-18
    Description: This dataset includes elemental and isotopic data, environmental parameters, and fractional abundances of branched glycerol dialkyl glycerol tetraethers (brGDGTs) and branched glycerol monoalkyl glycerol tetraethers (brGMGTs) in the soils, Suspended Particulate Matter (SPM), and sediments collected along the Seine River basin in Northwest France. Samples (n=237) were collected in high-flow (over 250 m³/s) and low-flow (below 250 m³/s) periods from the three zones (river, upstream estuary and downstream estuary) of the Seine River basin from 2015 to 2021. Elemental and isotopic analyses were performed by an elemental analyzer coupled with an isotope ratio mass spectrometer. The brGDGTs and brGMGTs were analyzed using high pressure liquid chromatography coupled with mass spectrometry with an atmospheric pressure chemical ionization source in selected ion monitoring mode. Using this dataset, we aim to (1) investigate the sources of brGDGTs and brGMGTs along the land-sea continuum, (2) identify the environmental factors influencing the distribution of these molecules, and (3) evaluate the applicability of brGMGTs as an indicator for riverine runoff.
    Keywords: Acyclic glycerol dialkyl glycerol tetraether; Archaeal glycerol dialkyl glycerol tetraether (peak area); Branched and isoprenoid tetraether index; Branched glycerol dialkyl glycerol tetraether, 1036d; Branched glycerol dialkyl glycerol tetraether, 1050d; Branched glycerol dialkyl glycerol tetraether, Ia; Branched glycerol dialkyl glycerol tetraether, Ib; Branched glycerol dialkyl glycerol tetraether, Ic; Branched glycerol dialkyl glycerol tetraether, IIa (5); Branched glycerol dialkyl glycerol tetraether, IIa (6); Branched glycerol dialkyl glycerol tetraether, IIa (7); Branched glycerol dialkyl glycerol tetraether, IIb (5); Branched glycerol dialkyl glycerol tetraether, IIb (6); Branched glycerol dialkyl glycerol tetraether, IIc (5); Branched glycerol dialkyl glycerol tetraether, IIc (6); Branched glycerol dialkyl glycerol tetraether, IIIa (5); Branched glycerol dialkyl glycerol tetraether, IIIa (6); Branched glycerol dialkyl glycerol tetraether, IIIa (7); Branched glycerol dialkyl glycerol tetraether, IIIb (5); Branched glycerol dialkyl glycerol tetraether, IIIb (6); Branched glycerol dialkyl glycerol tetraether, IIIb (7); Branched glycerol dialkyl glycerol tetraether, IIIc (5); Branched glycerol dialkyl glycerol tetraether, IIIc (6); Branched glycerol dialkyl glycerol tetraether (peak area); Branched glycerol monoalkyl glycerol tetraethers, H1020a; Branched glycerol monoalkyl glycerol tetraethers, H1020b; Branched glycerol monoalkyl glycerol tetraethers, H1020c; Branched glycerol monoalkyl glycerol tetraethers, H1034a; Branched glycerol monoalkyl glycerol tetraethers, H1034b; Branched glycerol monoalkyl glycerol tetraethers, H1034c; Branched glycerol monoalkyl glycerol tetraethers, H1048; Branched glycerol monoalkyl glycerol tetraethers (peak area); brGDGTs; brGMGTs; Carbon, organic, total; Chlorophyll a; Comment of event; Crenarchaeol; Crenarchaeol regio-isomer; CTD, Sea-Bird; Date/Time of event; Dicyclic glycerol dialkyl glycerol tetraether; Elemental analyzer coupled with an isotope ratio mass spectrometer, Thermo Fisher Scientific, Delta V Advantage; Estuary; Event label; Fluorometer, Cyclops, Turner Design; France; High pressure liquid chromatography coupled with mass spectrometry with an atmospheric pressure chemical ionization source (HPLC-APCI-MS), Shimadzu, LCMS 2020; Isomer ratio; Latitude of event; Longitude of event; Monocyclic glycerol dialkyl glycerol tetraether; Month; MULT; Multiparametric probe (600QS, YSI Inc.); Multiple investigations; Nitrogen, total; Organic Geochemistry; Oxygen saturation; Period; pH; river; Riverine Index; River kilometer; Salinity; Sample ID; Sample type; Seine_site1; Seine_site10; Seine_site11; Seine_site12; Seine_site13; Seine_site14; Seine_site15; Seine_site16; Seine_site17; Seine_site18; Seine_site19; Seine_site2; Seine_site3; Seine_site4; Seine_site5; Seine_site6; Seine_site7; Seine_site8; Seine_site9; Seine_siteA; Seine_siteB; Seine_siteC; Seine_siteD; Seine_siteE; Temperature, water; Tricyclic glycerol dialkyl glycerol tetraether; Turbidity (Nephelometric turbidity unit); Year of observation; Zone; δ13C, organic carbon; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 12192 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    DATA PANGAEA
  • 3
    facet.materialart.
    Unknown
    Knowledge formalization for product–process integration applied to forging domain (2009)
    Springer
    Details
    Publication Date: 2009-01-29
    Print ISSN: 0268-3768
    Electronic ISSN: 1433-3015
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Published by Springer
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    PAPER CURRENT
  • 4
    facet.materialart.
    Unknown
    Dynamics of organic matter in the Seine Estuary (France): Bulk and structural approaches (2019)
    Elsevier
    Details
    Publication Date: 2019-05-01
    Print ISSN: 0304-4203
    Electronic ISSN: 1872-7581
    Topics: Geosciences
    Published by Elsevier
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    PAPER CURRENT
  • 5
    facet.materialart.
    Unknown
    High-resolution sedimentary record of anthropogenic deposits accumulated in a sewer decantation tank (2020)
    Elsevier
    Details
    Publication Date: 2020-06-01
    Print ISSN: 2213-3054
    Topics: Geography
    Published by Elsevier
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    PAPER CURRENT
  • 6
    facet.materialart.
    Unknown
    A User-Oriented Local Coastal Flooding Early Warning System Using Metamodelling Techniques (2021)
    Molecular Diversity Preservation International
    Details
    Publication Date: 2021-10-27
    Description: Given recent scientific advances, coastal flooding events can be properly modelled. Nevertheless, such models are computationally expensive (requiring many hours), which prevents their use for forecasting and warning. In addition, there is a gap between the model outputs and information actually needed by decision makers. The present work aims to develop and test a method capable of forecasting coastal flood information adapted to users’ needs. The method must be robust and fast and must integrate the complexity of coastal flood processes. The explored solution relies on metamodels, i.e., mathematical functions that precisely and efficiently (within minutes) estimate the results that would provide the numerical model. While the principle of relying on metamodel solutions is not new, the originality of the present work is to tackle and validate the entire process from the identification of user needs to the establishment and validation of the rapid forecast and early warning system (FEWS) while relying on numerical modelling, metamodelling, the development of indicators, and information technologies. The development and validation are performed at the study site of Gâvres (France). This site is subject to wave overtopping, so the numerical phase-resolving SWASH model is used to build the learning dataset required for the metamodel setup. Gaussian process- and random forest classifier-based metamodels are used and post-processed to estimate 14 indicators of interest for FEWS users. These metamodelling and post-processing schemes are implemented in an FEWS prototype, which is employed by local users and exhibits good warning skills during the validation period. Based on this experience, we provide recommendations for the improvement and/or application of this methodology and individual steps to other sites.
    Electronic ISSN: 2077-1312
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Published by Molecular Diversity Preservation International
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    PAPER CURRENT
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...