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53 results for “electronic material”
Gold, Lanthanum, Gallium, Cobalt and Tantalum quantification performed with relative standardization-NAA in candidate electronic waste (LED) reference material within the METROCYCLEEU project
<p>Datasets containing uncertainty budgets of measurements performed with Neutron Activation Analysis (NAA) on electronic waste materials (specifically light-emitting diodes, LED).</p> <p>Results reported in the datasets are part of the characterization of CRM candidate material LED.</p> <p>Data are elaborated and resulting dataset files are obtained with INAA-INRIM 3.1 software, pre-release development version.</p>
Electronic supplemental material for Mann et al. "Multi-decadal records of shoreline erosion reveal the roles of river delta dynamics, hard protection measures, and other interventions in Eastern Ghana"
<p>Electronic supplemental material for Mann et al. "Multi-decadal records of shoreline erosion reveal the roles of river delta dynamics, hard protection measures, and other interventions in Eastern Ghana"</p> <p><br> The supplemental material comprises the database "Geodatabase Ghana.mdb" and the MSc thesis by Aleksandra Serwa (Serwa 2017), the results of which built the foundation for the paper.</p> <p>The database contains one layer with all digitized shorelines (HWL_END) as indicated in table 1 of the manuscript, and additional baseline and transect layers that are necessary for the shoreline change analyses with DSAS (Thieler & Danforth 1994). Further information can be found in Serwa (2017).</p> <p>References:</p> <p>Serwa, A., 2017. Shoreline changes in the Keta Municipal District (Ghana): Evidence from multi-decadal records. Master Thesis, Department of Geosciences, University of Bremen, 88 p.</p> <p><br> Thieler, E.R. & Danforth, W.W., 1994. Historical Shoreline Mapping ( II ): Application of the Digital Shoreline Mapping and Analysis Systems ( DSMS / DSAS ) to Shoreline Change Mapping in Puerto Rico. Journal of Coastal Research, 10(3), pp.600–620.</p>
Datesets and images of the publication "Probing crystallinity and grain structure of 2D materials and 2D-like van der Waals heterostructures by low-voltage electron diffraction" - DOI: 10.1002/pssa.202300148
<p>Datasets and images of the publication "Probing crystallinity and grain structure of 2D materials and 2D-like van der Waals heterostructures by low-voltage electron diffraction" - DOI: <a href="https://www.doi.org/10.1002/pssa.202300148">10.1002/pssa.202300148</a></p> <p>The Jupyter Notebooks for analyzing the datasets and generating all the figures are available at <a href="https://gitlab.com/JohMu/tds_hios_manuscript">https://gitlab.com/JohMu/tds_hios_manuscript</a>.</p> <p><strong>MoS<sub>2</sub> 4D-STEM dataset:</strong></p> <ul> <li>192x192 scan pixels</li> <li>200x200 camera pixels</li> <li>Acceleration voltage: 20kV</li> <li>Camera length: 10.56 mm</li> <li>Camera pixel size: 4x5.86 µm = 23.44 µm (original dataset with 4x4 binning)</li> <li>File location: Figure 2_3_S1.zip -> 230101205338_20kV_hexz0_camz-10_posi_003_good\scan_data_bin2_centered_crop-imgNx200.h5</li> <li>The original raw dataset (23 GB, 192x192 scan pixels, 800x800 camera pixels, camera pixel size: 5.86 µm), the scan reference dataset and the Jupyter Notebook for the shift-compensation is available from the author. The dataset uploaded here is binned by a factor of 4 and shift-compensated.</li> </ul> <p><strong>C60/MoS<sub>2</sub> 4D-STEM dataset:</strong></p> <ul> <li>113x113 scan pixels</li> <li>512x512 camera pixels</li> <li>Acceleration voltage: 20kV</li> <li>Camera length: 20.56 mm</li> <li>Camera pixel size: 5.86 µm</li> <li>File location: Figure 4.zip -> scan_data_scan113x113_gzip.h5</li> </ul> <p> </p>
An efficient method for higher heating value estimation of municipal solid wastes electronic supplementary material
<p><span><span>To facilitate the disposal of municipal solid wastes (MSWs) via thermo-chemical approaches, the accurate measurement of MSWs' higher heating value (HHV) plays a key role. This study aims to forecast the HHV of MSWs using the optimized multi-variate grey model (OBGM (1, N)) due to its high accuracy under the condition of scanty data. Results show that POBGM (1, 5) with proximate analysis data is the most accurate model with the least error of 5.41% MAPE (mean absolute percentage error). This model also illustrates that ash is the most important factor affecting HHV due to its significant fraction in MSWs, followed by volatiles, fixed carbon and water contents, respectively. With prediction interval (PI) method, most of the actual data can be included by using the 95% confidence intervals.</span></span></p>
Scanning transmission electron microscopy data of LiNi0.5Co0.2Mn0.3O2 single crystal Cathode materials during degradation process
<p>Scanning transmission electron microscopy data of LiNi0.5Co0.2Mn0.3O2 single-crystal Cathode materials during the degradation process</p>
DFT raw data for "Investigations on electron beam irradiated rare-earth doped SrF2 for application as low fading dosimeter material: Evidence for and DFT simulation of a radiation-induced phase"
<p>This is the DFT data for "<a href="https://pubs.rsc.org/en/content/articlehtml/2022/tc/d2tc01773c">Investigations on electron beam irradiated rare-earth doped SrF2 for application as low fading dosimeter material: Evidence for and DFT simulation of a radiation-induced phase</a>" https://doi.org/10.1039/D2TC01773C . </p> <p>It includes all predicted structures, the structure optimizations and the phonon computations in VASP format. Phonon computations were performed with the finite displacement method.</p>
Electronic Supplementary Material
<p>This supplementary material provides raw data underlying figures in the paper.</p>
Data for PhD Thesis: "Chemical and electronic structure of Cu$_2$O, NiO, and Cu$_2$O-NiO combinatorial material libraries as hole-transport material for halide perovskite solar cells"
<p>Here, the whole data measured during the PhD time of L. CW. Bodenstein-Dresler + Labbook is uploaded. T data in the "data"-folder was measured at HZB with XPS, UPS and IPES. </p> <p> </p> <p>The PEYS and CPD and XRD data was measured by A. Kama at BIU. </p> <p> </p>
Supplemental Material for the paper "Hamiltonian model for electron heating by electromagnetic waves during magnetic reconnection with a strong guide field"
<p>Video clip showing the trajectories of two close particles in the (x,px) phase space while interacting with a wave.</p> <p>Red and green dots are the particle positions, superimposed to the instantaneous energy levels.</p>
FIGURES 13–22. Scanning electron micrographs. Petroplacus lizae from type material. 13−16 in Petroplacus gen. nov. (Bacillariophyta): a new genus of diatom from Lake Baikal
FIGURES 13–22. Scanning electron micrographs. Petroplacus lizae from type material. 13−16. SEM external views of entire valve showing raphe and striae structure. 14. SEM external detail of valve centre with proximal raphe endings expanded into T-shaped grooves, uniseriate striae. 15, 16. SEM external detail of valve apex with terminal fissures. 19–22. SEM views of entire valve showing raphe and striae structure. 20. SEM internal detail of valve centre with proximal raphe endings, volate occlusions of the areolae. 21. SEM internal detail of valve apex with helictoglossa, round pores occluded by volae. 22. SEM internal detail of broken valve showing the pores apertures. 17. SEM detail of girdle band with a single row of pores. 18. SEM detail of two girdle bands. Scale bars = 10 μm (Figs 13, 19), 3 μm (Figs 14, 20, 21), 5 μm (Figs 17–18), 2 μm (Fig.22), 1 μm (Figs 15–16).
FIGURE. View of medullary hyphae in R. subcalcarata covered by a thin layer of secreted material, probably glycoproteins. The presence of small, elongated and electron-dense nodules is also observed. Scale = 12 µm. in The genus Ramalina Acharius (Ascomycota, Lecanoromycetes, Ramalinaceae) in northern South America
FIGURE. View of medullary hyphae in R. subcalcarata covered by a thin layer of secreted material, probably glycoproteins. The presence of small, elongated and electron-dense nodules is also observed. Scale = 12 µm.
Are evolutionary transitions in sexual size dimorphism related to sex determination in reptiles? - Electronic supplementary material
<p class="western"><span><span><span><span>Sex determination systems are highly variable in vertebrates, although neither the causes nor the implications of this diversity are fully understood. Theory suggests that sex determination is expected to relate to sexual size dimorphism, because environmental sex determination promotes sex-specific developmental bias in embryonic growth rates. Furthermore, selection for larger size in one sex or the other has been proposed to drive the evolution of different genetic sex determination systems. Here we investigate whether sex determination systems relate to adult sexual size dimorphism, using 250 species of reptiles (Squamata, Testudines, Crocodylia) representing 26 families. Using phylogenetically informed analyses, we find that sexual size dimorphism is associated with sex determination: species with TSDIa sex determination (i.e. in which the proportion of female offspring increases with incubation temperature), have more female-biased size dimorphism than species with TSDII (i.e., species in which males are produced at mid temperatures). We also found a trend that species with TSD ancestors had more male-biased size dimorphism in XY sex-chromosome systems than in ZW sex-chromosome systems. Taken together, our results support the prediction that sexual size dimorphism is linked to sex-dependent developmental variations caused by environmental factors and also by sex chromosomes. Since the extent of size dimorphism is related to various behavioural, ecological and life-history differences between sexes, our results imply profound impacts of sex determination systems for vertebrate diversity.</span></span></span></span></p>
Supplementary materials for "Machine Learning Electronic Structure Methods Based On The One-Electron Reduced Density Matrix"
<p><strong>Supplementary materials for "Machine Learning Electronic Structure Methods Based On The One-Electron Reduced Density Matrix"</strong></p> <p>by X. Shao, L. Paetow, M. E. Tuckerman and M. Pavanello</p> <p><strong>The QMLearn software</strong></p> <p>A current snapshot of the QMLearn software is available on GitLab at https://gitlab.com/pavanello-research-group/qmlearn. Video tutorials and other examples (including Jupyter Notebooks) are available at http://qmlearn.rutgers.edu</p> <p><strong>Data availability</strong></p> <p>We share all training/test sets and notebooks needed to reproduce Table II and Figures 1-7. For all figures, we provide Jupyter notebooks and the needed data to exactly reproduce the figures. Trajectory files for all IR spectra are shared. The collection of all materials is available in this dataset.</p> <p>The QMLearn version used for this work is 0.0.1.</p> <p>Specific QMLearn dependencies and their version used for all calculations are listed as follows:<br> - ase (3.22.1)<br> - h5py (3.7.0)<br> - numpy (1.23.1)<br> - pyscf (2.0.1)<br> - scikit-learn (1.1.1)<br> - scipy (1.8.1)</p>
Supplementary Material: A novel coupled-cluster singles and doubles implementation that combines the exploitation of point-group symmetry and Cholesky decomposition of the two-electron integrals
<p>This dataset contains all molecular geometries (in Angstrom) used to test the CD-CCSD implementation.</p>
Eggs of extinct dwarf island emus retained large-size: Electronic supplementary material
Open the record for dataset details and reuse information.
An efficient method for higher heating value estimation of municipal solid wastes electronic supplementary material
Open the record for dataset details and reuse information.
Are evolutionary transitions in sexual size dimorphism related to sex determination in reptiles? - Electronic supplementary material
Open the record for dataset details and reuse information.
A versatile mechanized setup for controlled experiments in archeology [Electronic Supplementary Material]
<p><strong>Supplementary Material 1. </strong>Preliminary tests on the Universal Robot UR5 <strong>(top)</strong> and inotec SMARTTESTER<sup>®</sup> <strong>(bottom)</strong>. Each machine was programmed to move a scriber (needle) uni-directional linear motion from a starting point to an ending point (distance ≈ 19 cm) with a 50 N (UR5) or 5 kg (SMARTTESTER<sup>®</sup>) load applied onto the tip. One and five programmatically identical strokes were performed on an aluminum plate. The red dotted lines are straight lines drawn from the starting point to the end point. The arrows indicate the direction of the movement.</p> <p>The width of each groove was measured around the middle (where the black marks are) and are, from top to bottom: 407, 587, 814 and 961 µm.</p> <p>The images were acquired with a digital microscope Smartzoom 5 (Carl Zeiss Microscopy GmbH, Jena, Germany) equipped with a Plan Apo D 1.6×/0.1 objective, at 34× total on-screen (17.5”) resolution. Each image was acquired in two parts, each part being itself an automatically stitched image. The two parts were then manually stitched together in GIMP 2.10.14.</p> <p>The grooves being very long and thin, the reader is advised to digitally zoom into the images to see the details. The resolution of 1200 dpi should allow a great level of details to be visible.</p> <p> </p> <p><strong>Supplementary Material 2. </strong>Scripts of the experiments used for the present paper:</p> <p>(1) Linear setup (Fig. 3 and Supplementary Material 4)</p> <p>(2) Rotary setup (Fig. 4 and Supplementary Material 5)</p> <p>(3) Percussion setup (Fig. 5 and Supplementary Material 6)</p> <p>(4) Oscillating setup (Fig. 6 and Supplementary Material 7)</p> <p>(5) Test of parallelism (Supplementary Material 1)</p> <p> </p> <p><strong>Supplementary Material 3. </strong>Specifications of drives and sensors.</p> <p> </p> <p><strong>Supplementary Material 4.</strong> Video of the linear setup: flint flake cutting a pine board in uni-directional movements. Three strokes (357 mm each at 600 mm.s<sup>-1</sup> and 4,000 mm.s<sup>-2</sup>), with 2 kg weights, were cutting into a pine board. Each stroke cut into a fresh portion of the board thanks to the movement of the table (Y direction).</p> <p> </p> <p><strong>Supplementary Material 5. </strong>Video of the rotary setup: limestone pebbles grinding linseeds. 30 rotations at 300°.s<sup>-1</sup> and 600°.s<sup>-2</sup>; 1 kg weight.</p> <p> </p> <p><strong>Supplementary Material 6. </strong>Video of the percussion setup: limestone pebbles cracking the tibia of a juvenile roe deer previously used in gnawing experiments. Dropping height ≈ 20 cm; 1 kg weight.</p> <p> </p> <p><strong>Supplementary Material 7. </strong>Video of the oscillating setup: shaking sand with two flint flakes. 20 rotations at 600°.s<sup>-1</sup> and 600°.s<sup>-2</sup>; linear movement amplitude approximately 16 cm.</p> <p> </p> <p>Instructions to download all files at once are given here: <a href="https://doi.org/10.5281/zenodo.4011952">https://doi.org/10.5281/zenodo.4011952</a></p>
Supplementary material 2 from: Vilizzi L, Piria M, Pietraszewski D, Kopecký O, Špelić I, Radočaj T, Šprem N, Ta KAT, Tarkan AS, Weiperth A, Yoğurtçuoğlu B, Candan O, Herczeg G, Killi N, Lemić D, Szajbert B, Almeida D, Al-Wazzan Z, Atique U, Bakiu R, Chaichana R, Dashinov D, Ferincz Á, Flieller G, Gilles Jr AS, Goulletquer P, Interesova E, Iqbal S, Koyama A, Kristan P, Li S, Lukas J, Moghaddas SD, Monteiro JG, Mumladze L, Olsson KH, Paganelli D, Perdikaris C, Pickholtz R, Preda C, Ristovska M, Švolíková KS, Števove B, Uzunova E, Vardakas L, Verreycken H, Wei H, Zięba G (2022) Development and application of a multilingual electronic decision-support tool for risk screening non-native terrestrial animals under current and future climate conditions. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 211-236. https://doi.org/10.3897/neobiota.76.84268
Combined TAS-ISK report
Supplementary material 1 from: Vilizzi L, Piria M, Pietraszewski D, Kopecký O, Špelić I, Radočaj T, Šprem N, Ta KAT, Tarkan AS, Weiperth A, Yoğurtçuoğlu B, Candan O, Herczeg G, Killi N, Lemić D, Szajbert B, Almeida D, Al-Wazzan Z, Atique U, Bakiu R, Chaichana R, Dashinov D, Ferincz Á, Flieller G, Gilles Jr AS, Goulletquer P, Interesova E, Iqbal S, Koyama A, Kristan P, Li S, Lukas J, Moghaddas SD, Monteiro JG, Mumladze L, Olsson KH, Paganelli D, Perdikaris C, Pickholtz R, Preda C, Ristovska M, Švolíková KS, Števove B, Uzunova E, Vardakas L, Verreycken H, Wei H, Zięba G (2022) Development and application of a multilingual electronic decision-support tool for risk screening non-native terrestrial animals under current and future climate conditions. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 211-236. https://doi.org/10.3897/neobiota.76.84268
Table S1
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.