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476 results for “Erosive”
Cenozoic uplift and erosion of the Norwegian Barents Shelf – A review
<p>We provide Cenozoic erosion maps for the greater Barents Sea and the SW Barents Sea, published in Lasabuda et al., 2021.</p> <p>The files have a projection of "WGS_1984_IBCAO_Polar_Stereographic".</p> <p> </p> <p>Here is the reference to the paper,</p> <p>Authors: Amando P.E. Lasabuda, Nora S. Johansen, Jan Sverre Laberg, Jan Inge Faleide, Kim Senger, Tom Arne Rydningen, Henry Patton, Stig-Morten Knutsen, Alfred Hanssen</p> <p>Title: Cenozoic Uplift and Erosion of the Norwegian Barents Shelf – A Review,<br>Journal: Earth-Science Reviews, Volume 217, 2021, 103609, ISSN 0012-8252,<br>DOI: https://doi.org/10.1016/j.earscirev.2021.103609.</p>
Erosion Ageing of Polymeric Insulation Materials: Dielectric Barrier Discharges on Wet Surfaces under Repetitive Voltage Pulses - Dataset
<p>This data set is the basis for the following paper which will be presented at the VDE Hochspannungstechnik 2024 conference from November 11 to 13 in Berlin. The data set contains the following content:</p> <ul> <li>Microscopic images of surface erosion on aged PTFE, PVC & PA 6.6 test objects</li> <li>The experimental setup for the ageing of these polymers</li> <li>Profilometer measurements of the polymer surfaces at different ageing times</li> </ul> <p>For further details please read the text file within the attached archive.</p> <p> </p> <p> </p> <p> </p>
Data and SI for Controls on erosion and cyclic step-formation upstream of waterfalls
<p>Tables_S2_thru_S4.xlsx contains the data used for the figures in the paper, and PIV_colormap_data.csv contains the PIV analysis results.</p>
Four spatial prediction datasets of susceptibility to gully erosion, comparing machine learning models, in the Piraí drainage basin, southeastern Brazil
<p>The data in this repository refer to the article published in the journal Land, entitled: Machine Learning Models for the Spatial Prediction of Gully Erosion Susceptibility in the Piraí Drainage Basin, Paraíba do Sul Middle Valley, Southeast Brazil.</p>
SERENA EJPSOIL IE EROSION SOIL LOSS
<p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p> <p>The dataset corresponds to a map of potential soil loss (Mg/ha/yr) due to erosion risk. The map is the result of applying the Erosion cookbook developed in SERENA/EJP-Soil. The map is created by calculating the erosion factor by the RUSLE model. </p> <p>Further research into the P-factor and R-factor values is necessary to produce a more reliable erosion map for Ireland. This would enhance the accuracy of soil erosion assessments and support more effective soil conservation strategies.</p>
SERENA EJPSOIL BE Flanders EROSION SOILLOSS cookbook
<p>The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales.</p> <p>The dataset (5m resolution) was mainly produced to test the methodology of the SERENA soil erosion cookbook of the European SERENA EJP SOIL project. The data was prepared according to the methodology of SERENA soil erosion cookbook. The objective of SERENA project was to develop methods to calculate and map soil-based ecosystem services and soil threats. Soil loss was used as an indicator for soil erosion. For Belgium, the application was carried out at regional scale for the Flanders region. To create the soil erosion map, RULSE modelling was done according to the SERENA cookbook using several publicly available datasets. The following auxiliary data was used: K-Factor, Land-Cover Map, Long-term 30 yr averaged monthly rainfall, <br>LS-Factor given by Panagos et al. (2015). The dataset will be mostly useful as a reference result for actors that want to learn to implement the part of the soil erosion cookbook of SERENA dealing with the creation of an erosion map. It has limited use as an erosion map for Flanders because a more detailed and accurate map exists for Flanders based on regional covariates.</p> <p>This dataset is originally hosted at DOV (<a href="https://www.dov.vlaanderen.be/">https://www.dov.vlaanderen.be/</a>), for the most up to date version of the dataset access the data from the DOV repository through the DOV services. The original metdata is accesible through the DOV metadata catalog: <a href="https://www.dov.vlaanderen.be/geonetwork/srv/dut/catalog.search#/metadata/37337449-8bee-420e-9943-81f074c4cbe8">SERENA EJPSOIL BE Flanders EROSION SOILLOSS cookbook</a></p> <p>The DOV services:</p> <ul> <li><a href="https://www.dov.vlaanderen.be/geoserver/bodem/wms?SERVICE=WMS&version=1.3.0&request=GetMap">WMS </a>( OGC:WMS-1.3.0-http-get-map ) </li> <li><a href="https://www.dov.vlaanderen.be/geoserver/bodem/wcs?SERVICE=WCS&version=2.0.1&request=GetCoverage">WCS </a>( OGC:WCS )</li> </ul>
Global warming leads to habitat loss and genetic erosion of alpine biodiversity
<p><span><strong>Aim</strong>:</span><span> Species living on steep environmental gradients are expected to be especially sensitive to global climate change. Here, we combined genetic, ecological niche modelling and climatic niche comparisons to investigate the influence of climate on the biogeography of three alpine species with overlapping ranges.</span></p> <p><span><strong>Location</strong>:</span><span> Te Waipounamu (South Island) Aotearoa</span>–<span>New Zealand.</span></p> <p><span><strong>Taxon</strong>:</span><span> Endemic alpine-adapted Cataontopinae grasshoppers.</span></p> <p><span><strong>Methods</strong>:</span><span> We used niche modelling to estimate and project the potential niche of three focal species under past and future climate scenarios.</span><span> Vulnerability assessments were</span><span> performed using </span><span>niche factor analyses. Demographic trends and phylogeographic structure were investigated using samples from 15 mountain tops to generate mitochondrial DNA haplotype networks and population genetic statistics.</span></p> <p><span><strong>Results</strong>:</span><span> Niche models and genetic data suggest suitable habitat for all three alpine species was more widespread and contiguous in the past than today. Demographic analyses indicate in situ survival rather than post-Pleistocene colonisation of current habitat. Population structuring and genetic divergence suggest that mountain uplift during the Pliocene and environmental barriers during Pleistocene glacial and interglacial stages shaped contemporary population structure of each species. Though geographically overlapping, niche analyses suggest these alpine species are not ecologically identical, and each shows similar but distinct responses to environmental change, but all will lose intraspecific diversity through population extinction.</span></p> <p><span><strong>Main</strong> <strong>conclusions</strong>:</span><span> Climatic, biological and geophysical factors controlled population structuring of three cold-adapted species during the Pleistocene with a legacy of spatially separate intraspecific lineages. Ecological niche models for each species emphasise distinct combinations of environmental proxies, but all are expected to experience severe habitat reduction during climate warming. Increased global temperatures drive available habitat to higher elevation resulting in population contractions, range shifts, habitat fragmentation, local extinctions, and genetic impoverishment. Despite alpine species not being ecologically identical, we predict all mountain biota will lose significant genetic diversity due to global warming.</span></p>
Results from a National Survey of Canadian Perspectives on Predicting River Channel Migration and River Bank Erosion
<p>This dataset contains findings from a national survey of Canadian perspectives on predicting river channel migration and river bank erosion. The online survey was conducted by researchers from the University of Guelph from November 2, 2021 through January 31, 2022 and received more than 40 responses from regions across Canada.</p>
Past, present and future rainfall erosivity in Central Europe
<p>Past, present and future rainfall erosivity in central Europe calculated from convection-permitting climate simulations in COSMO-CLM using emission scenario RCP 8.5. A description of the dataset and methodology is given in the article "Past, present and future rainfall erosivity in central Europe based on convection-permitting climate simulations" by Magdalena Uber et al. (2024) in Hydrology and Earth System Sciences (https://doi.org/10.5194/hess-28-87-2024).</p> <p>This work was funded by the German Federal Ministry for Digital and Transport Network of Experts.</p> <p> </p> <p> </p>
Effects of hydrogen jet fires on the erosion of tunnel road materials and lining materials
<p>This HSE test programme investigated erosive effects of an ignited high pressure hydrogen jet impinging onto concrete and tarmac structural materials. The chosen test conditions mimicked the scenario where a high-pressure release (700bar) occurs from a fuel cell hydrogen (FCH) car as a result of activation of the thermal pressure relief device (TPRD) on the fuel tank. Two nozzle sizes were used for the releases; the first had a diameter of 2.1mm (mimicking existing TPRD) and the second had a diameter of 0.57mm (mimicking a proposed alternative TPRD diameter. The reduced diameter is suggested as a strategy to reduce release hazard safety distances).</p>
Global Rainfall Erosivity database (GloREDa)
<p>Table with the data of annual rainfall erosivity and auxiliary information for 3,939 stations.</p> <p>Table with the data of monthly erosivity.</p> <p>Shape file with all the stations and their erosivity values.</p> <p>12 Raster (GeoTIFF) with global monthly erosivity at 1km x 1km resolution</p> <p>Relevant publication to cite for those datasets:</p> <p>Panagos, P., Hengl, T., Wheeler, I., Marcinkowski, P., Rukeza, M.B., Yu, B., Yang, J.E., Miao, C., Chattopadhyay, N., Sadeghi, S.H. and Levi, Y., et al. 2023. <a href="https://www.sciencedirect.com/science/article/pii/S2352340923005826">Global Rainfall Erosivity database (GloREDa) and monthly R-factor data at 1km spatial resolution</a>. <em>Data in Brief</em>, <strong>50</strong>, Art.no.109482. DOI: 10.1016/j.dib.2023.109482</p>
Soil erosion by water in the 1980s-2020s in the steppe region of the southeast of the East European Plain (Volgograd region, Russia)
<p>The dataset contains rasters with a 30m resolution of the distribution of soil erosion by water. Raster "Soil Losses 1980s" has shown the average soil losses by water erosion in the 1980-1990s, and raster "Soil Losses 2020s" has shown average soil losses by water erosion in the 2010-2020s.</p>
Targeted social immunity is associated with a pathogen-specific erosion of individual immune function in ants - dataset
<p>Complete dataset of quantitative data and R scripts used to generate the figures and statistics of the publication, sorted by figure panel number. Information about data structure are including in the scripts. </p>
Vonoprazan Study in Patients With Erosive Esophagitis to Evaluate Long-term Safety
ClinicalTrials.gov study NCT02679508. IPD Sharing: YES. Countries: 1. Publications: 1.
Genotyping results of the FabaPanel for: Genetic erosion within the Fabada dry bean market class revealed by high-throughput genotyping
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Climate is more influential to vegetation green-up than factors that contribute to erosion following high-severity wildfire
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Numerical model of the Messinian Mediterranean combining hydrological water balance, river erosion, and flexural isostasy: TISC code and input dataset for the Lago-Mare
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Global warming leads to habitat loss and genetic erosion of alpine biodiversity
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Data from: Translocations spur population growth but fail to prevent genetic erosion in imperiled Florida Scrub-Jays
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Data from: How density dependence, genetic erosion, and the extinction vortex impact evolutionary rescue
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