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1,980 results for “Oil”
100 geolocated oil spills in the Gulf of Guinea
<p>Shapefile containing 100 geolocated oil spills in the Gulf of Guinea and including oil spill from ship and oil spill from platform</p>
Bio-oil production from biogenic wastes, the hydrothermal conversion step - Data
<p>Food wastes are an abundant resource that can be effectively valorised by hydrothermal liquefaction to produce bio-fuels. The objective of the European project Waste2Road is to demonstrate the complete value chain from waste collection to engine tests. The principle of hydrothermal liquefaction is well known but there are still many factors that make the science very empirical. Most experiments in the literature are performed on batch reactors. Comparison of results from batch reactors with experiments with continuous reactors are rare in the literature.</p> <p>This dataset presents fully documented experiments, performed in this project, on food wastes, with different compositions, conditions and solvents. The data set is extended with data from the literature. This data set also includes bio-oil and aqueous phase analysis by gas chromatography coupled with mass spectrometry.</p>
Supporting Movies from: Seismo-acoustic observations of crashing ocean waves: Investigating surf monitoring at Coal Oil Point Reserve, Santa Barbara, California
<div> <div> <div> <p>This repository includes supplementary movies from the manuscript titled, "Seismo-acoustic observations of crashing ocean waves: Investigating surf monitoring at Coal Oil Point Reserve, Santa Barbara, California," submitted to the Journal of Geophysical Research: Solid Earth.</p> <p> </p> <p>Movies S1 and S2. These two movies taken during array deployment 4 on October 20, 2023 show the NW tip of Coal Oil Point at the left of the field of view and Sands Beach northwest of that toward the right. Frames have the same figure layout as Figure 4 of the main text.</p> <p>Movie S3. Same as Movies S1 and S2 but with the NW tip of Coal Oil Point at the right of the field of view and Devereux Beach southeast of that toward the left.</p> </div> </div> </div>
EFSA Project on the use of NAMs to explore interspecies metabolic differences on essential oils as feed additives (Annexes A, B, C, D)
<p>Raw data of phase I and II experiments and PBK model input data and simulation of the EFSA Project on the use of NAMs to explore interspecies metabolic differences on essential oils as feed additives (OC/EFSA/SCER/2021/14).</p>
CMI: Sea ice properties from mesocosm oil-in-ice experiments at University of Alaska Fairbanks, 2014-15
<p>Sea ice core properties (salinity) and raw ice temperature data measurement collected during the CMI mesocosm experiment aiming at assessing the impacts of crude oil on ice biota lead at UAF in 2014 and 2015.</p>
MOSIDEO: Sea ice properties and oil concentrations measured during the HSVA experiment during MOSIDEO
<p>Physical ice properties (porosity, permeability and brine volume fraction), and oil concentration measured on collected ice cores during the experiments.</p> <ul> <li>Oil concentrations are measured using a UV-fluorescence meter TD500TM (Turner Designs Hydrocarbon Instruments, Inc.)</li> <li>Ice temperature measured in-situ with thermocouple strings</li> <li>Porosity and permeability fields are computed from ice and temperature profiles using semi-empirical equations (Cox and Weeks, 1983; Golden et al., 2009). The oil intake and pore space saturation in oil (oil saturation) are derived from acoustic data of the oil/water and oil/ice interface position.</li> </ul>
Estimated individual methane emission rates for oil and gas facilities from the continental United States in 2021
<p>File containing 500 separate estimates of 673,940 individual facility-level methane emission rates for oil and gas facilities for the year 2021 in the continental United States. Each column contains one full estimate of the individual facility-level emissions, presented in units of kilograms per hour of methane per facility. The facility categories included in these estimates are production well sites, gathering and boosting compressor stations, transmission and storage compressor stations, processing plants, and flares. This data can be used to recreate the 500 emission distributions presented in Figure 3 in the following manuscript (link: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1402) which is currently under review. This dataset may be updated as the review stages progress</p>
Data from: A robust model for the assessment of oil spill hazards over land and water bodies
<p>This repository contains all the data required to generate the results and figures reported in the article:</p> <p><strong>A robust model for the assessment of oil spill hazards over land and water bodies. </strong><br>Pablo Vallés, Sergio Martínez-Aranda, Reinaldo García & Pilar García-Navarro <br>Fluid Dynamic Technologies TFD-I3A, Universidad de Zaragoza, Spain, 2024</p> <p><strong>Author:</strong> Sergio Martínez Aranda<br><strong>Email: </strong>sermar@unizar.es</p> <p><strong>Summary of the content:</strong></p> <p>*FILE* BSLmodel_code.c : Implementation of the BSL model in the software OILFlow2D (Hydronia LLC)</p> <p>*ZIP-FOLDER* testOilChannel : Synthetic test 1: Oil spill over water channel with parabolic velocity profile<br> Contains:<br> *FILE* plotter2D.m : Matlab file for plotting the article figures<br> *FILE* readVTK_hu.m : Ad-hoc Matlab function for reading VTK files and extract arrays of x, y, h, modU variables at cells<br> *FOLDER* graphics : Contains the output figures for the article<br> *FILE* free_surface_profiles_impCent.mat : Matlab structure containing the water level results along the longitudinal center profile for all the cases tested<br> *FILE* vel_profiles_impCent.mat : Matlab structure containing the velocity results along the cross-section x=900m for all the cases tested<br> *FOLDER* hydro_shear_layer : Folder with the 2D hydrodynamics fields for the Bottom Shear Layer used in the simulations<br> *FOLDER* BSL_disabled : Folders containing the raw simulation results with the BSL model disabled <br> Contains:<br> *FILES* stgpuXX.vtk : VTK files with the 2D fields of the oil layer variables at different times<br> *FILE* deltat.out : File with the evolution of the time step and the inlet-outlet discharges <br> *FOLDERS* BSL_impCent_CdXpXXXX : Folders containing the raw simulation results with the BSL model enabled for different drag coefficients Cd<br> Contains:<br> *FILES* stgpuXX.vtk : VTK files with the 2D fields of the oil layer variables at different times<br> *FILE* deltat.out : File with the evolution of the time step and the inlet-outlet discharges<br> </p> <p>*ZIP-FOLDER* testOilBay : Synthetic test 2: Oil spill from land to a rotating water bay <br> Contains:<br> *FILE* plotter2D.m : Matlab file for plotting the article figures<br> *FILE* readVTK_zhvel.m : Ad-hoc Matlab function for reading VTK files and extract arrays of x, y, z, h, u, v variables at cells<br> *FOLDER* graphics : Contains the output figures for the article.<br> *FOLDER* hydro_shear_layer : Folder with the 2D hydrodynamics rotating fields, including VTK files, for the Bottom Shear Layer used in the simulations<br> *FOLDER* BSL_disabled : Folders containing the raw simulation results with the BSL model disabled <br> Contains:<br> *FILES* stgpuXX.vtk : VTK files with the 2D fields of the oil layer variables at different times<br> *FILE* deltat.out : File with the evolution of the time step and the inlet-outlet discharges <br> *FOLDERS* BSL_impCent_CdXpXXXX : Folders containing the raw simulation results with the BSL model enabled for different drag coefficients Cd<br> Contains:<br> *FILES* stgpuXX.vtk : VTK files with the 2D fields of the oil layer variables at different times<br> *FILE* deltat.out : File with the evolution of the time step and the inlet-outlet discharges<br> <br> <br>*ZIP-FOLDER* caseSpillTilenga : Realistic case: Oil spill hazard assessment in the White Nile - Tilenga Project <br> Contains:<br> *FILE* Qgis_project.qgz : Portable QGIS project for plotting the article figures<br> *FOLDER* geoData : Contains the georeferenced data used for the simulation setup<br> *FOLDER* images : Contains the output figures for the article<br> *FOLDER* hydro_shear_layer : Folder with the 2D hydrodynamics fields for the Bottom Shear Layer used in the simulations<br> *FOLDER* spills : Folders containing the OilFlow2D project files to perform the simulation of the six spill scenarios reported in the article <br> *FOLDERS* spill_XXX_XX : Folders containing raster files with the oil spreading results at different times for the six spill scenarios reported in the article </p>
Ocean drifters from oil-on-water exercise in North Sea (Frigg oil field) June 2019
<p>Ocean drifters from oil-on-water exercise in North Sea (Frigg oil field) June 2019. Described in more detail in Brekke, C., Espeseth, M. M., Dagestad, K.-F., Röhrs, J., Hole, L. R., & Reigber, A. (2021). Integrated analysis of multisensor datasets and oil drift simulations - a free-floating oil experiment in the open ocean. Journal of Geophysical Research: Oceans, 126, e2020JC016499. https://doi.org/10.1029/2020JC016499</p> <p>Work is funded by grant no. 237906 (CIRFA) of the Norwegian Research Council.</p>
High-resolution oil and gas methane emission inventory for the Permian Basin
<p>This dataset consists of a high-resolution (0.01<sup>o</sup> × 0.01<sup>o</sup>) oil and gas methane emission inventory for the Permian Basin, developed at Environmental Defense Fund (<a href="http://www.edf.org">www.edf.org</a>). The Permian Basin in western Texas and southern New Mexico is the largest oil producing basin in the U.S., accounting for more than 40% of national oil production in 2021. It is also the nation's largest methane emitting basin, with recent measurement-based estimates of more than three million metric tons per year. Here, we develop an improved inventory of oil and gas methane emissions for the Permian Basin, based on recent facility-scale measurements and updated oil and gas activity data for the year 2021.</p> <p>Full details for the oil and gas methane emission inventory development and key results can be found in the following journal paper, which is under review at Earth System Science Data journal.</p> <p>Please cite the paper when using the methane inventory dataset:</p> <p>Omara, M., Gautam, R., O'Brien, M.A., Himmelberger, A., Franco, A., Meisenhelder, K., Hauser, G., Lyon, D.R., Chulakadaba, A., Miller, C.C., Franklin, J., Wofsy, S., and Hamburg, S.P. Developing a spatially explicit global oil and gas infrastructure database for characterizing methane emission sources at high resolution. <em>In review</em>, Earth System Science Data journal (2023).</p> <p>Points of Contact at Environmental Defense Fund: Mark Omara (momara@edf.org) and Ritesh Gautam (rgautam@edf.org).</p>
Data, scripts, and figures of the article: The effect of oregano essential oils on Feed Passage Syndrome in broilers: 2. Assessment under a challenge model
<p>This data set contains the data, JMP scripts, and figures of the article titled "The effect of oregano essential oil on Feed Passage Syndrome in broilers: 2. Assessment under a challenge model" to be published in the journal Animal - Open Space.</p>
Data, scripts, and figures of the article: The effect of oregano essential oils on Feed Passage Syndrome in broilers: 1. Assessment under field conditions
<p>This data set contains the data, JMP scripts, and figures of the article titled "The effect of oregano essential oils on Feed Passage Syndrome in broilers: 1. Assessment under field conditions" to be published in the journal Animal - Open Space.</p>
Dataset for article: Structure Formation in Tailor-Made Buriti Oil Emulsion During Simulated Digestion
<p><strong>Dataset for publication:</strong></p> <p>Structure Formation in Tailor-Made Buriti Oil Emulsion During Simulated Digestion<br> <em>Rafael V. M. Freire, Linda Hong, Miroslav Peterek, Stéphane Canarelli, Serge Rezzi, Stefan Salentinig</em><br> Advanced Funtional Materials 2023 (DOI 10.1002/adfm.202303854)</p> <p>Setup and conditions for the experiments are described in the experimental section of the published (open access) manuscript.</p> <p>Data description in README.txt file.</p>
Fig. 2. Relationships concentration x in Anesthesia of tambaqui Colossoma macropomum (Characiformes: Serrasalmidae) with the essential oils of Aniba rosaeodora and Aniba parviflora and their major compound, linalool
Fig. 2. Relationships concentration x anesthesia induction or recovery time in tambaqui, Colossoma macropomum, exposed to the linalools. a. synthetic linalool; light sedation: y=4.4+(4281/x), r2=0.716, deep sedation: y=-22.5+(12252/x), r2=0.773, deep anesthesia:y=15.3+(17878/x), r2=0.669, recovery: y=43.9+0.66x+0.0015x2, r2=0.712. b. linalool extracted from Aniba rosaeodora; deep sedation: y=29.0+(6010/x), r2=0.784, deep anesthesia: y=-151.3+(60541/x), r2=0.873. Light sedation and recovery: no significant relationship. y = time to reach stage or recovery (s) and x = concentration (µL L-1).
FIG. 2. — Oil painting from a in The wonder whale: a commodity, a monster, a show and an icon
FIG. 2. — Oil painting from a private collection depicting the shore-based sperm-whaling off the Azores (19 th century). Photo by the authors.
Fig 1 in Essential oils from Citrus x aurantium and Citrus x latifolia (Rutaceae) have anesthetic activity and are effective in reducing ion loss in silver catfish (Rhamdia quelen)
Fig 1. Net ion (Na+, K+, Cl̅) fluxes (a-b) and ammonia excretion (c-d) in silver catfish through 8 h of exposure to essential oils of Citrus x aurantium (EOCA) and Citrus x latifolia (EOCL). Values are means ± SEM. Different letters indicate significant differences between treatments (P <0.05). Positive values indicate net influxes and negative values net effluxes.
Figure 2 in Food niche of Exomalopsis (Exomalopsis) fulvofasciata Smith (Hymenoptera: Apidae) in Brazilian savannah: the importance of oil-producing plant species as pollen sources
Figure 2. Estimated number of pollen types in each study area using extrapolation curves. ESP: Ecological Station of Panga, MG and SPSCN: State Park of Serra de Caldas Novas, GO.
Figure 2 in Morphology of oil-collecting pilosity of female Rediviva bees (Hymenoptera: Apoidea: Melittidae) reflects host plant use
Figure 2. Oil-secreting flowers of the family Scrophulariaceae (sensu stricto). (A) Alonsoa unilabiata; (B) Diascia 'floribunda'; (C) A. unilabiata, detail of oil-containing pouch; (D) Hemimeris racemosa, flower around openings of spurs with hemispherical oil droplets covered by a cuticle; (E) Diascia insignis, longitudinal section of flower with oil droplets in apex of opened floral spur; (F) D. insignis, detail of dissected floral spur with oil droplets on top of trichome elaiophores. Scale bars: 1 mm.
Computational modelling of metal soap formation in historical oil paintings: the influence of fatty acid concentration and nucleus geometry on the induced chemo-mechanical damage.
<p>Metal soap formation is one of the most wide-spread degradation mechanisms observed in historical oil paintings, affecting works of art from museum collections worldwide. Metal soaps develop from a chemical reaction between metal ions present in the pigments and saturated fatty acids, which are released by the oil binder. The presence of large metal soap crystals inside paint layers or at the paint surface can be detrimental for the visual appearance of artworks. Moreover, metal soaps can possibly trigger mechanical damage, ultimately resulting in flaking of the paint. This paper departs from a recently proposed computational model to predict chemo-mechanical degradation in historical oil paintings, as presented in Eumelen et al. (J Mech Phys Solids 132:103683, 2019). The model describes metal soap formation and growth, which are phenomena that are driven by the diffusion of saturated fatty acids and proceed by a nucleation process from a crystalline nucleus of small size. This results into a chemically-induced strain in the paint, which may promote crack nucleation and propagation. The proposed model is here used to investigate the effects of saturated fatty acid concentration and initial nucleus geometry on the amount of chemo-mechanical damage generated. Numerical simulations show that both factors have a marginal influence on the growth rate of the metal soap crystal, but play a significant role on the extent of fracture induced in the paint.</p>
UV-Vis spectral dataset of distillation wastewaters from the production of essential oils of lavender cultivars and other aromatic plant species
<pre>The present database provides a set of 16 ultraviolet-visible (UV-Vis) spectra characterizing the residual by-products (distillation wastewaters) of the production of essential oils from lavender (<em>Lavandula angustifolia</em> Mill.) and other aromatic plant species, including interspecific hybrids and cultivars.</pre>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.