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2,118 results for “Metal”
FIGURE 9 in Taxonomy of epilithic diatoms and teratological forms under the presence of metals in surface sediment
FIGURE 9. Epilithic diatoms from Cascavel River micro-watershed in LM. A–B. Pinnularia graciloides var. latecapitata. B. Teratological valve. C. P. graciloides var. triundulata. D. P. viridiformis. E. P. tabellaria. F–G. P. subgibba var. undulata. H. P. subgibba. I. P. stidolphii. J–K. P. laucensis. L–M. P. certa. N. P. microstauron var. rostrata. O. P. subcapitata. P. P. subanglica. Q. P. meridiana. R. P. rumrichae. S–T. P. obscura. U. P. schoenfelderi. V. P. joculata. W. Fallacia insociabilis. X–Y. Sellaphora nigri. Z. S. laevissima. AA. S. rhombicarea. AB. S. pupula. AC–AF. S. saugerresii. AD–AF. Teratological valves. AG. S. sassiana. AH. S. tridentula. AI. Diploneis subovalis. AJ. Caloneis hyalina. AK. C. westii. AL–AM. C. bacillum. AM. Teratological valve. Scale bars: 10 µm.
FIGURE 14 in Taxonomy of epilithic diatoms and teratological forms under the presence of metals in surface sediment
FIGURE 14. Epilithic diatoms from Cascavel River micro-watershed in SEM. A. Achnanthidium caledonicum, rapheless valve. B. A. macrocephalum, rapheless valve. C–E. A. minutissimum. C–D. Raphid and rapheless valve in external view. E. Internal view of rapheless valve. F–G. A. tropicocatenatum, raphid and rapheless valve. H. Brachysira microcephala. I. Luticola ectorii. J. Frustulia weinholdii. K–L. Frustulia australocrassinervia. M. F. neomundana. Scale bars: 2 µm (Figs A–J, M), 5 µm (Fig. K), 1 µm (Fig. L).
FIGURE 7 in Taxonomy of epilithic diatoms and teratological forms under the presence of metals in surface sediment
FIGURE 7. Epilithic diatoms from Cascavel River micro-watershed in LM. A. Placoneis elginensis. B. P. hambergii. C. P. undulata. D. Achnanthes inflata. E–G. Achnanthidium caledonicum. H–P. A. macrocephalum. L–P. Teratological valves. Q–T. A. tropicocatenatum. U–AC. A. minutissimum. X–AC. Teratological valves. AD–AH. A. modestiforme. AF–AH. Teratological valves. AI–AJ. Gogorevia constricta. AK. Planothidium bagualensis. AL. P. lagerheimii. AM–AP. P. rostratum. AO–AP. Teratological valves. AQ–AR. P. frequentissimum. AS–AT. Psammothidium hustedtii. AU–AV. Humidophila arcuatoides. AW. H. implicata. AX–AZ. H. contenta. AAA– AAC. H. subtropica. AAD. Cocconeis fluviatilis. AAE. C. lineata. AAF. Luticola ectorii. AAG. L. hustedtii. AAH. L. charlatii. AAI– AAJ. L. permuticoides. AAK. L. ventricosa. AAL–AAN. L. goeppertiana. Scale bars: 10 µm.
FIGURE 6 in Taxonomy of epilithic diatoms and teratological forms under the presence of metals in surface sediment
FIGURE 6. Epilithic diatoms from Cascavel River micro-watershed in LM. A–B. Gomphonema affine. C–H. G. angustatum. F–H. Teratological valves. I. G. brasiliense. J–K. G. brasiliense subsp. pacificum. L. G. brasiliensoide. M–O. G. exilissimum. P–R. G. parvulum. S. G. frequentiformis. T–Y. G. graciledictum. W–Y. Teratological valves. Z. G. perapicatum. AA–AB. G. hawaiiense. AC. G. guaraniarum. AD–AF. G. saprophilum. AG–AI. G. pseudoaugur. AJ–AM. G. pumilum. AM. Teratological valve. AN–AS. G. lagenula. AQ–AS. Teratological valves. AT–AU. G. naviculoides. AU. Teratological valve. Scale bars: 10 µm.
FIGURE 5 in Taxonomy of epilithic diatoms and teratological forms under the presence of metals in surface sediment
FIGURE 5. Epilithic diatoms from Cascavel River micro-watershed in LM. A. Eunotia ossicula. B–G. E. rhomboidea. E–G. Teratological valves. H. E. tropico-arcus. I–K. E. veneris. L. E. yanomami. M–P. E. yberai. N–P. Teratological valves. Q. Cymbopleura naviculiformis. R–S. Encyonema angustecapitatum. T. E. perpusillum. U. E. neogracile. V–X. E. neomesianum. X. Teratological valve. Y–AA. E. silesiacum. AA. Teratological valve. AB. E. minutiforme. AC–AE. E. exuberans. AF–AH. Navigeia ignota. AI–AK. Placogeia kriegeri. AL–AM. Encyonopsis subminuta. AN–AO. E. difficilis. AP. E. schubartii. AQ–AS. E. thienemannii. AT–AU. Geissleria punctifera. AV. Kurtkrammeria spicula. Scale bars: 10 µm.
FIGURE 4 in Taxonomy of epilithic diatoms and teratological forms under the presence of metals in surface sediment
FIGURE 4. Epilithic diatoms from Cascavel River micro-watershed in LM. A–C. Actinella hermes-moreirae. D–J. Eunotia bilunaris. G–J. Teratological valves. K–P. E. botulitropica. P. Teratological valve. Q–R. E. canicula. S–T. E. desmogonioides. T. Teratological valve. U–X. E. subarcuatoides. W–X. Teratological valves. Y–Z. E. fallax. AA. E. formica. AB. E. formicina. AC. E. karenae. AD. E. intricans. AE. E. longicamelus. AF. E. rabenhorstii var. monodon. AG. E. rabenhorstii var. triodon. AH–AJ. E. juettnerae. AK–AM. E. kruegeri. AN–AO. E. muscicola. AP–AQ. E. monodon. AQ. Teratological valve. AR–AX. E. meridiana. AV–AX. Teratological valves. AY. E. georgii. Scale bars: 10 µm.
FIGURE 1 in Taxonomy of epilithic diatoms and teratological forms under the presence of metals in surface sediment
FIGURE 1. Location of the eight sampling sites (S1–S8) in the Cascavel River micro-watershed, Paraná State, Southern Brazil.
FIGURE 3 in Taxonomy of epilithic diatoms and teratological forms under the presence of metals in surface sediment
FIGURE 3. Epilithic diatoms from Cascavel River micro-watershed in LM. A. Stephanocyclus meneghinianus. B. Cyclotella kingstonii. C–E. Discostella stelligera. D–E. Teratological valves. F. Melosira varians. G. Orthoseira roeseana. H. Aulacoseira ambigua. I. A. brasiliensis. J. A. granulata var. angustissima. K. A. granulata. L–N. A. pusilla. O–Q. A. tenella. R–T. Fragilaria fragilarioides. U–AA. F. radians. X–AA. Teratological valves. AB–AH. F. pectinalis. AE–AH. Teratological valves. AI–AK. F. tenera. AL–AO. F. tenera var. nanana. AN–AO. Teratological valves. AP–AR. F. spectra. AS–AT. Fragilariforma javanica. AU. Ulnaria contracta. AV. U. delicatissima. AW–AZ. U. ulna. AX–AZ. Teratological valves. Scale bars: 10 µm.
FIGURE 2 in Taxonomy of epilithic diatoms and teratological forms under the presence of metals in surface sediment
FIGURE 2. Variability of environmental data for the eight sampling sites in the Cascavel River micro-watershed, Paraná State, Brazil. a) Principal Component Analysis for abiotic data analyzed from water samples (BOD: Biochemical Oxygen Demand; NO: nitrate; 3 Cond: electrical conductivity; DS: dissolved solids; TP: total phosphorus; PO −: Component 4 orthophosphate). b) Principal Analysis for metals data analyzed in the surface sediment (Co: cobalt, Cr: chromium, Cu: copper, Mn: manganese, Ni: nickel, Pb: lead, Zn: zinc). The sampling sites for surface sediment were represented by polygons.
Unsupervised Machine Learning and Cepstral Analysis with 4D-STEM for Characterizing Complex Microstructures of Metallic Alloys
<p>Raw 4D-STEM data of Ni50Ti26Hf20Al4 used for analysis in the publication "Unsupervised Machine Learning and Cepstral Analysis with 4D-STEM for Characterizing Complex Microstructures of Metallic Alloys". Datasets were collected using the electron microscope pixel array detector (EMPAD) with a Themis Z STEM. Custom python scripts used for data analysis are available upon request to one of the corresponding authors.</p>
Nondestructive Fatigue Life Prediction for Additively Manufactured Metal Parts through a Multimodal Transfer Learning Framework
Open the record for dataset details and reuse information.
Observation of Order and Disorder in Solid-Electrolyte Interphases of Lithium-Metal Anodes
<p>This data was collected by Hyeongjun Koh and made publicly available. It was also used as a dataset for an article submission.</p> <p> </p> <p>Please cite this reference when you would like to use it.</p>
Spin waves and orbital contribution to ferromagnetism in a topological metal
<p>The dataset contains the data for the paper "Spin waves and orbital contribution to ferromagnetism in a topological metal". The data are stored in .txt or excel form.</p> <p>There are two folders:<br>The "experiment_data" folder contains the unprocessed (not corrected by self-absorption correction or polarization factors) RXIS and XAS spectra.</p> <p>The "figure_source_data" folder contains the processed data shown in the figures of the paper. The data processing (self-absorption correction or polarization factor correction) is described in the paper and supplementary information.</p> <p>----------------------------------------------<br>Under "experiment_data" folder:<br>-The "XAS" folder contains the XAS spectra collected at the ADRESS beamline of the Swiss Light Source.</p> <p>-The "XMCD_sample_surface" folder contains the XMCD scans across the sample surfaces with/without magnetic field</p> <p>-The "RIXS_spectra_SLS" folder contains the RIXS spectra collected at ADRESS beamline of Swiss Light Source. The spectral Intensity is normalized to 5 minutes per CCD, and there are 3 CCDs. The "resolution.txt" is the resolution function measured on a carbon tap for RIXS measurements at fixed scattering angle = 130 deg. "rixs_cl(cr)_H0L_x.txt" files are the momentum dependence RIXS along H0L direction with left(right)-hand circular polarization. x = -1, 1, 2,..., 9, 10 represents (H, 0, L) = (-0.163, 0, 1.92), (0.017, 0, 2.04), (0.042, 0, 2.03), (0.083, 0, 2.01), (0.123, 0, 1.97), (0.2, 0, 1.85), (0.239, 0, 1.77), (0.273, 0, 1.67), (0.307, 0, 1.56), (0.336, 0, 1.44), (0.39, 0, 1.17), respectively. Similar to "rixs_cl(cr)_HHL_x.txt" files, where x = 1, ..., 4 here represents (H, H, L) = (0.024, 0.024, 2.03), (0.071, 0.071, 1.97), (0.116, 0.116, 1.85), (0.158, 0.158, 1.67). For "rixs_cl(cr)_phi_x.txt" files, x = 1, 2, 3, 4, 5, 6 represents phi = 0, 30, 45, 60, 75, 90 deg. The file "rixs_cl_2theta_90_H0p2_L1p34.txt" contains the RIXS spectrum for (H, 0, L) = (0.2, 0, 1.34) and left-hand circular polarization measured with scattering angle 2theta = 90 deg, and the similar meanings for the rest. The "E_detuning_map" folder contains the data of incident energy detuning measurement.</p> <p>-"RIXS_spectra_ESRF" contains the RIXS spectra collected at ID32 of ESRF in names of "rixs_cl(cr)_HHL_x.txt". Here x = 1, 2, ..., 6 represents L = 2.1 1.9, 1.7, 1.5, 1.3, 1.1, respectively. The intensity is in units of counts/40 minutes.</p> <p>--------------------------------------------<br>The "figure_source_data" folder contains the experimental data plotted in Figure 2 - 5. </p>
Accelerating Discovery of Mechanically Stable Metal−Organic Frameworks for Vinylidene Fluoride Storage by Active Learning
<p><span>Supplementary data including dataset and python scripts for "<strong>Accelerating Discovery of Mechanically Stable </strong></span><strong><span>Metal−Organic Frameworks </span></strong><span><strong>for Vinylidene Fluoride Storage by Active Learning</strong>"</span></p>
Incorporation of trace metals into land snail shells on the Chinese Loess Plateau as proxies for paleo-precipitation
<p><span>This dataset provides the results of trace metal compositions of modern snail shells (<em>Cathaica sp.</em>) collected from </span><span>sixteen sites </span><span>on the Chinese Loess Plateau.</span></p>
Contact mechanics analyis for chip tool contact in metal cutting of AISI4140
<p>Collection of files to reproduce the contact mechanics analysis in:</p> <p>"Multiscale parametrization of a friction model for metal cutting using contact mechanics, atomistic simulations, and experiments"</p> <p>Authors:<br>Hannes Holey, Florian Sauer, Prasanth Babu Ganta, Leonhard Mayrhofer, Martin Dienwiebel, Volker Schulze, Michael Moseler</p> <p>Tribology Letters 72 (2024)</p> <p>DOI: 10.1007/s11249-024-01906-9</p>
Non-fluorinated electrolytes with micelle-like solvation for ultrahigh energy density lithium metal batteries
<p>Electrolyte engineering plays a critical role in enabling lithium (Li) metal batteries. However, the simultaneous realization of anion-rich solvation structure and high ionic conductivity of electrolytes via solvation structure design remains challenging. Here, we report a low-cost, non-fluorinated electrolyte with a micelle-like solvation structure by introducing amphiphilic n-butyl methyl ether (MNBE) into lithium bis(fluorosulfonyl)imide (LiFSI)/1,2-dimethoxyethane (DME) for stable Li metal batteries. MNBE can effectively promote Li+-FSI- coordination through steric crowding. Meanwhile, the inert alkyl chains of MNBE can mitigate the reaction between electrolyte and Li metal due to their lithiophobicity. Specifically, the micelle-like, non-fluorinated electrolyte exhibits an ionic conductivity as high as 12.55 mS cm-1 and its anion-rich solvation structure promotes the formation of LiF-rich solid-electrolyte-interphase. We constructed a 7.3 Ah Li||NMC811 pouch cell employing this electrolyte under harsh conditions, exhibiting ultrahigh specific energy of 503.7 Wh kg-1 with impressive cycling stability of 84.1% capacity retention after 100 cycles. </p>
Data underlying the paper titled "Strong coupling in metal-semiconductor microcavities featuring Ge quantum wells: a perspective study"
Open the record for dataset details and reuse information.
Effect of Performance Enhancing Treatment on Ga-Pt Supported Catalytically Active Liquid Metal Solutions (SCALMS) for Propane Dehydrogenation
<p>The dataset for manuscript entitled 'Effect of Performance Enhancing Treatment on Ga-Pt Supported Catalytically Active Liquid Metal Solutions (SCALMS) for Propane Dehydrogenation'</p> <p> </p> <p>The raw data in ‘Dataset of Figure 2a-c.rar’ is used for plotting the spectra in Fig. 2 and Fig. S1, S2, S3 and S5</p> <p>The raw data in ‘t1-t7_Fig. 3 & Fig. S6-S13.rar’ is used for plotting the spectra in Fig. 3 and Fig. S6-S13</p> <p>The raw data in 'Fig S14.rar' is used for plotting the spectra in Fig. S14</p> <p>The raw data in 'Fig S15.rar' is used for plotting the spectra in Fig. S15</p>
Global extraction accounts of crude metal ores, 1970-2022
<p><span>This data file contains an update of the global accounts for crude metal ore extraction as compiled for the ‘Global Material Flows Database’ of the UN International Resource Panel (IRP) (<a href="https://www.resourcepanel.org/global-material-flows-database">https://www.resourcepanel.org/global-material-flows-database</a>). </span></p> <p><span>The accounts of the 07.2024 update cover the period of 1970 to 2022 and contain data for 47 metal ores extracted in 151 countries. </span></p> <p><span>The 07.2024 update followed the method for compiling economy-wide material flow accounts as described in the Technical Annex of the IRP database (CSIRO, 2024). </span></p> <p><span>Primary data on the extraction of metal ores was obtained from three major international data sources: the World Mining Data (WMD) published by the Federal Ministry of Finance of Austria, the British Geological Survey (BGS) and the United States Geological Survey (USGS). WMD was used as the main data source, which was then complemented with data from BGS and USGS. The primary data source for each data point is indicated in the data file. </span></p> <p><span>In cases primary sources reported the extraction of crude ores, these values were directly used. Material names in the data file indicate those cases as “ores”. </span></p> <p><span>However, data on metal production is often reported in terms of net-metal contents, i.e., metal quantity after the processing and concentration of crude ores. In those cases, factors were applied that represent ore grades and compensate for losses in recovery. These factors were compiled from the SNL Metal and Mining database (SNL, 2024) and own research based on company reports (Jasansky et al., 2023). </span></p> <p><span>Further, in case of polymetallic extractions, a price allocation approach was applied. Average prices for each metal ore in the period of 1990-2020 were combined with metal production data to allocate crude ore extraction to each metal produced, proportional to the total value of each metal. Thereby, double counting is avoided. </span></p> <p><span>After this recalculation, each metal has been allocated a share of the corresponding crude ore. Material names in the data file indicate those cases as “associated ores”. </span></p> <p><span><br>References:</span></p> <p><span>CSIRO, 2024. Technical Annex for Global Material Flows Database - 2024 edition. Available at: https://www.resourcepanel.org/sites/default/files/technical_annex_for_global_material_flows_database_-_vers_4_june_2024.pdf. Australia National Science Agency, Canberra.</span></p> <p><span>Jasansky, S., Lieber, M., Giljum, S., Maus, V., 2023. </span><span>An open database on global coal and metal mine production. Scientific Data 10 (1), 1–12. DOI: 10.1038/s41597-023-01965-y.</span></p> <p><span>SNL, 2024. Metals and Mining Database. S&P Global Market Intelligence, New York.</span></p>
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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
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.