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2,118 results for “Metal”
Metal and Metalloid Bioaccumulation in Nodipecten nodosus (Linnaeus, 1758) Scallops (Mollusca: Pectinidae) Cultivated in Southeastern Brazil and Associated Public Health Issues
<p>Supplementary Table S1. Instrumental ICP-MS conditions for metal and metalloid detection in lion’s paw scallops in Southeastern Brazil. <strong>Table S2.</strong> Metal accumulation levels for Cd, Cu, Zn and Ni between scallop species and different locations worldwide. All data are expressed as μg. g<sup>-1</sup>w.w. FAAS - Flame Atomic Absorption Spectrometry, ICP-MS - Inductively Coupled Plasma Mass Spectrometry, ICP-OES - Inductively Coupled Optical Emission Spectrometry, ATFS – Atomic Fluorescence Spectrometry. <strong>Table S3</strong>. Metal accumulation levels for Pb, Cr, Fe and Mn between scallop species and different locations worldwide. All data are expressed as μg. g<sup>-1</sup>w.w. FAAS - Flame Atomic Absorption Spectrometry, ICP-MS - Inductively Coupled Plasma Mass Spectrometry, ICP-OES - Inductively Coupled Optical Emission Spectrometry, ATFS – Atomic Fluorescence Spetrometry</p>
Raw data files for "A Simple, Transition Metal Catalyst-Free Method for the Design of Complex Organic Building Blocks Used to Construct Porous Metal-Organic Frameworks" manuscript
<p>Raw data files for a manuscript "A Simple, Transition Metal Catalyst-Free Method for the Design of Complex Organic Building Blocks Used to Construct Porous Metal-Organic Frameworks".</p> <p>All files are organized by instrumental methods, except Figure 1 in the manuscript and Figure S1, S52 in the SI, plots for which are reported as separate files. The file headers contain the necessary information such as column designations, units, etc.</p> <p> </p>
Metal-organic framework optical thermometer based on Cr3+ ions luminescence - data
<p><strong>Project NCN SONATA 16 2020/39/D/ST5/01289<br><br>Experimental data:</strong> Raman and diffuse reflectance spectra, band gap and crystal field strength, decay profiles and lifetimes, temperature-dependent luminescence and emission maps, thermometric parameters, exemplary system’s luminescent characteristics, unit cell characteristics, powder XRD data, Kubelka-Munk function with band gap estimation, excitation and emission spectra, stability of PL</p>
Output files for Carbon storage in the Earth's deep interior implied by carbonate-silicate-metal melt miscibility
<p>Density and speciation output files for Carbon storage in the Earth's deep interior implied by carbonate-silicate-metal melt miscibility.</p>
Dataset for CFD4NRS-9 conference paper "Simulation of noble metal particle growth and removal in the molten salt fast reactor"
<p>Dataset used for the results presented in the CFD4NRS-9 conference paper "Simulation of noble metal particle growth and removal in the molten salt fast reactor". Also the code used to generate results is included (it is also publicly available at https://github.com/edofrederix/flotationFoam), and contains a README with instructions. The plots can be generated with their respective Python files.</p>
LiMeS-lab: An integrated laboratory for the development of Liquid-Metal Shield technologies for fusion reactors
<p>The liquid metal shield laboratory (LiMeS-Lab) will provide the infrastructure to develop, test, and compare liquid metal divertor designs for future fusion reactors. The main research topics of LiMeS-lab will be liquid metal interactions with the substrate material of the divertor, the continuous circulation and capillary refilling of the liquid metal during intense plasma heat loading and the retention of plasma particles in the liquid metal. To facilitate the research, four new devices are in development at the Dutch Institute for Fundamental Energy Research and the Eindhoven University of Technology: LiMeS-AM: a custom metal 3D printer based on powder bed fusion; LiMeS-Wetting, a plasma device to study the wetting of liquid metals on various substrates with different surface treatments; LiMeS-PSI, a linear plasma generator specifically adapted to operate continuous liquid metal loops. Special diagnostic protection will also be implemented to perform measurements in long duration shots without being affected by the liquid metal vapor; LiMeS-TDS, a thermal desorption spectroscopy system to characterize deuterium retention in a metal vapor environment. Each of these devices has specific challenges due to the presence and deposition of metal vapors that need to be addressed in order to function. In this paper, an overview of LiMeS-Lab will be given and the conceptual designs of the last three devices will be presented.</p>
Concentration of metals and base cations in green stormwater infrastructure soils
<p>Green stormwater infrastructure (GSI) is adopted to reduce the impact of stormwater on urban flooding and water quality issues. Traditional methods use inflow versus outflow metal and base cation concentrations from water samples at inlet and outlet to determine accumulation in GSI basins which can be expensive sometimes. Soil sampling could be a more cost-effective and time-averaged approach in evaluating the accumulation of metals and base cations in GSI compared to the traditional methods. This dataset presents data from twenty-one GSI basins soils located in New York and Pennsylvania, USA. The dataset contains a description of GSI basins considered in the study and the concentration of metals and base cations in those basins. The dataset includes concentrations of 3 base cations (Ca, Mg, Na) and 6 metals (Cd, Cr, Cu, Ni, Pb, and Zn). Various GSI basin characteristics are included in the dataset which includes information such as age of the basins, sources of runoff draining into the GSI basins, and drainage area ratio (ratio of the area draining into a GSI basin to the area of the GSI basin itself).</p>
The fifth research task in the project entitled "Tunable liquid metal complexes as catalysts for the model chemical and electrochemical processes" - NCN project OPUS (grant no. 2020/37/B/ST8/00693).
<p>The fifth research task carried out as part of the project concerns the electrochemical characteristics of the obtained liquid metal complexes and the determination of their electrochemical potential. The information relates to study performing for the NCN project OPUS, grant no. 2020/37/B/ST8/00693.</p>
The third research task in the project entitled "Tunable liquid metal complexes as catalysts for the model chemical and electrochemical processes" - NCN project OPUS (grant no. 2020/37/B/ST8/00693).
<p>The third research task carried out under the project concerns the modification of solid carriers (MWCNTs, silica, inorganic oxide) with liquid metal complexes and the physical and chemical properties characterization of obtained materials. The information relates to study performing for the NCN project OPUS, grant no. 2020/37/B/ST8/00693.</p>
The first research task in the project entitled "Tunable liquid metal complexes as catalysts for the model chemical and electrochemical processes" - NCN project OPUS (grant no. 2020/37/B/ST8/00693).
<p>The first research task carried out under the project concerns synthesis of novel solvate ionic liquids and physical and chemical properties characterization of obtained liquid metal complexes. The information relates to study performing for the NCN project OPUS, grant no. 2020/37/B/ST8/00693.</p>
The fourth research task in the project entitled "Tunable liquid metal complexes as catalysts for the model chemical and electrochemical processes" - NCN project OPUS (grant no. 2020/37/B/ST8/00693).
<p>The fourth research task carried out under the project relates to the catalytic performance and activity of obtained in previous tasks liquid metal complexes in homo- and heterogeneous systems in various selected chemical processes. The information correlates to study performing for the NCN project OPUS, grant no. 2020/37/B/ST8/00693.</p>
Nitrate and dissolved trace metal data from Mn nodule reduction experiments under anoxic conditions
<p>The uploaded dataset includes nitrate and dissolved trace metal (Mn, Cd, Co, Cu, Fe, Mn, Ni, Pb, Sc, and Zn) data from laboratory incubation experiments using crushed Mn nodules under anoxic conditions. Please refer to our submitted paper for more details about data interpretations.</p>
Machine learning enabled identification of sheet metal localization
<p>Data and Machine Learning codes for:</p> <ul> <li><strong>Machine learning enabled identification of sheet metal localization</strong></li> <li>Journal: <strong>International Journal of Solids and Structures</strong></li> </ul> <p><strong>Abstract</strong>: The Forming Limit Curve (FLC), which describes the maximum applicable strain before localization, depends on the particular material, but also on the applied load and history of the load. Recent investigations have shown that the non-<br> proportional loading effect on the FLC can be predicted with data-driven or machine-learning-based methods. Here<br> we compare different ML methods to their applicability in predicting localization point under multi-segmented non-<br> proportional loading. Therefore, a FE-based metamodel is developed that allows imposing an arbitrary loading history<br> on a sheet metal to predict the point of localization. A series of virtual experiments are conducted with this metamodel<br> to generate a database of bi-linear loading paths that are used for training. Different ML-based methods were used<br> to predict the localization point based on the strain history data. The 1D-Convolutional Neural Network (1D-CNN),<br> with an ability to learn dependency between input features, has the best accuracy in predicting the localization point.</p>
Data for: Coupled anaerobic methane oxidation and metal reduction in soil under elevated CO2
<p><span>Continued current emissions of carbon dioxide (CO<sub>2</sub>) and methane (CH<sub>4</sub>)</span><span> by human activities will increase global atmospheric CO<sub>2</sub> and CH<sub>4</sub> concentrations and surface temperature significantly. Fields of paddy rice, the most important form of anthropogenic wetlands, account for about 9% of anthropogenic sources of CH<sub>4</sub>. Elevated atmospheric CO<sub>2</sub> may enhance CH<sub>4</sub> production in rice paddies, potentially reinforcing the increase in atmospheric CH<sub>4</sub>. </span><span>However, what is not known is whether and how elevated CO<sub>2</sub> influences CH<sub>4</sub> consumption under anoxic soil conditions in rice paddies, as the net emission of CH<sub>4</sub> is a balance of methanogenesis and methanotrophy. In this study, we used a long-term free-air CO<sub>2</sub> enrichment experiment to examine the impact of elevated CO<sub>2</sub> on the transformation of CH<sub>4</sub> in a paddy rice agroecosystem. We demonstrate that elevated CO<sub>2</sub> substantially increased anaerobic oxidation of methane (AOM) coupled to manganese and/or iron oxides reduction in the calcareous paddy soil. We further show that elevated CO<sub>2</sub> may stimulate the growth and metabolism of Candidatus Methanoperedens nitroreducens, which is actively involved in catalyzing AOM when coupled to metal reduction, mainly through enhancing the availability of soil CH<sub>4</sub>. These findings suggest that a thorough evaluation of climate-carbon cycle feedbacks may need to consider the coupling of methane and metal cycles in natural and agricultural wetlands under future climate change scenarios.</span></p>
Fourier-transformed infrared (FTIR) spectra of the paper "Untangling the role of biotic and abiotic ageing of various environmental plastics toward the sorption of metals"
<p>The dataset include Fourier-transformed infrared (FTIR) spectra of UV aged and biofouled environmental plastics, used for the publication "Untangling the role of biotic and abiotic ageing of various environmental plastics toward the sorption of metals" (the paper is available at the following link: <a href="https://doi.org/10.1016/j.scitotenv.2023.164807">https://doi.org/10.1016/j.scitotenv.2023.164807</a>).</p> <p>The dataset is organized as follows:</p> <p>-All samples contains metadata considering polymer type (polylactic acid (PLA), polypropylene (PP), and polyethylene (PE)), the type of ageing treatment (UV ageing, biofouling and UV ageing-biofouling), the amount of time (in hours) of treatment and the number of replicate sample analyzed.</p> <p>-for every sample the raw data (scaled for the maximum absorbance value) of the FT-IR spectrum is given.</p> <p>Further experimental details are listed in the manuscript text.</p>
Figure 6 in Metal-Age Maritime Culture at Jareng Bori Rockshelter, Pantar Island, Eastern Indonesia
Figure 6. Mollusc habitats (NISP) at Jareng Bori.
Figure 15 in Metal-Age Maritime Culture at Jareng Bori Rockshelter, Pantar Island, Eastern Indonesia
Figure 15. Ferrous metal artefact cf. knife from Jareng Bori.
Figure 5 in Metal-Age Maritime Culture at Jareng Bori Rockshelter, Pantar Island, Eastern Indonesia
Figure 5. Major mollusc taxa (NISP) at Jareng Bori.
Figure 12 in Metal-Age Maritime Culture at Jareng Bori Rockshelter, Pantar Island, Eastern Indonesia
Figure 12. Slipped sherds by spit at Jareng Bori.
Figure 11 in Metal-Age Maritime Culture at Jareng Bori Rockshelter, Pantar Island, Eastern Indonesia
Figure 11. Average sherd thickness (mm) by spit at Jareng Bori.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.