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Clastic rock / claystone / mudrock simulation at the microscale: different modeled forms of geological detritus for weathering simulation
No full textAn actual problem of the natural weathering modeling is separation of chemical weathering and physical erosion in the framework of complex dynamics of the atmosphere and the Earth surface, despite the fact of a close coupling between the chemical weathering and physical erosion in natural landscapes. It's intuitively obvious that the multifactor nature of the weathering pattern generation is the cause of the impossibility of experimental reproduction of the complexity of the global weathering using singular factor experiments. Different factors (cryo-, glacio-, hydro-, photo-, chemo-, etc.) can be simulated using specified weatherometers, but the large size of the samples and the long timescale of their weathering usually provide very poor reproducibility of the natural weathering patterns in such experiments. Thus, it is necessary to provide the lowest spatial level of the model (using similarity criteria and dimensional analysis) and the lowest timescale of the full erosion and weathering process of the samples. We propose the integration of ESEM (environmental scanning electron microscopy) and CLEM (correlated light and electron microscopy) with the high power light sources for synchronous observation and weathering-like processing of the model geological or synthetic weatherable and erodible materials. Also we propose the cryogenic (and thermo-cryo cycled) electron microscopy variations for modeling of glatiological phenomena of weathering and erosion – for example, for modeling of periglacial weathering and headwall erosion in glaciers and modeling of selective or combined glacial erosion and weathering in the coastal mountains. The effect of hydrochemical factors can be modeled using CLESEM with stopped-flow and continuous flow subchambers, including our mesofluidic modifications of such instruments
Relation between Corythucha ciliata, tree DBH and leaf area
No full textThe data was used to see the relationship between the number and density of Corythucha ciliata and leaf area and tree DBH. Sampling took place in Ljubljana, Slovenia. Seventeen plane trees from different DBH were surveyed 10 times from June till August 2019. On every tree every time three leaves were randomly choosen and the leaf area measured. Every time the number of adults and the nymphs were counted
Effects of drought on generation 1 Lupinus nipomensis (Fabaceae)
No full textData are for Lupinus nipomensis grown in a dry-down drought experiment at UC Santa Barbara. Plants were grown in dry-down and well-watered conditions in order to simulate potential maternal effects. Data collected include seed production and vegetative traits.The seeds were collected by hand between 2016-12-01 and 2017-02-28 near UC Santa Barbara Greenhouses. The greenhouse had climate controlled conditions with an average temperature of 21.1°C – 22.2°C
Annotated Southern Ocean diatom LM micrographs from POLARSTERN cruise PS79, 10 p - unmasked
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Age model of sediment core 2018_R2_2F from Sheldon Cove, Antarctic Peninsula
No full textSediment core 2018_R2_2F was collected from Sheldon Cove, Antarctic Peninsula (67.55°S 68.27°W) from a water depth of 177 m, on 2018-12-21 as part of expedition JR18003 by the British Antarctic Survey aboard RV James Clark Ross (Sands et al. 2019). The sample was taken with multicorer. The total core length was 25 cm. The dataset with raw data on gamma spectrometry measurements of excess 210Pb and 137Cs, total organic carbon (TOC) content, biogenic silica, and biomarkers is presented by Pieńkowski et al. (submitted to PANGAEA: PDI-37565). Here is presented an age model based on the constant flux constant sedimentation rate (CFCS) model verified with 137Cs downcore distribution. The excess 210Pb and 137Cs data were measured in the Institute of Geology at Adam Mickiewicz University, Poznań, Poland using a gamma detector Canberra BE3830 (Szczuciński, submitted). The model was calculated using serac code (Bruel and Sabbatier, 2020). The obtained average sediment accumulation rate is 1.9±0.4 mm/year