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12,393 results for “Materiality”
Fig. 2 in Materials On Fauna Of Oedemeridae (Hexapoda: Coleoptera) In Latvia. 2. Oedemera Flavipes (Fabricius, 1792), Oedemera Virescens (Linnaeus, 1767) & Oedemera Femorata (Scopoli, 1763)
Fig. 2. Map of distribution Oedemera virescens (L.) in Latvia.
Fig. 1 in Materials On Fauna Of Oedemeridae (Hexapoda: Coleoptera) In Latvia. 2. Oedemera Flavipes (Fabricius, 1792), Oedemera Virescens (Linnaeus, 1767) & Oedemera Femorata (Scopoli, 1763)
Fig. 1. Map of distribution Oedemera flavipes (F.) in Latvia.
Supplementary material: CYB561 supports the neuroendocrine phenotype in castration-resistant prostate cancer
<p>Castration-resistant prostate cancer (CRPC) is associated with resistance to androgen deprivation therapy, and an increase in the population of neuroendocrine (NE) differentiated cells. It is hypothesized that NE differentiated cells secrete neuropeptides that support androgen-independent tumor growth and induce aggressiveness of adjacent proliferating tumor cells through a paracrine mechanism. The cytochrome b561 (<em>CYB561</em>) gene, which codes for a secretory vesicle transmembrane protein, is constitutively expressed in NE cells and highly expressed in CRPC. CYB561 is involved in the α-amidation-dependent activation of neuropeptides and contributes to regulating iron metabolism which is often dysregulated in cancer. These findings led us to hypothesize that CYB561 may be a key player in the NE differentiation process that drives the progression and maintenance of the highly aggressive NE phenotype in CRPC. In our study, we found that <em>CYB561</em> expression is upregulated in metastatic and NE prostate cancer (NEPC) tumors and cell lines compared to normal prostate epithelia and that its expression is independent of androgen regulation. Knockdown of <em>CYB561</em> in androgen-deprived LNCaP cells dampened NE differentiation potential and transdifferentiation-induced increase in iron levels. In NEPC PC-3 cells, depletion of CYB561 reduced the secretion of growth-promoting factors, lowered intracellular ferrous iron concentration, and mitigated the highly aggressive nature of these cells in complementary assays for cancer hallmarks. These findings demonstrate the role of CYB561 in facilitating transdifferentiation and maintenance of NE phenotype in CRPC through its involvement in neuropeptide biosynthesis and iron metabolism pathways.</p>
Supplementary material for: Coral reef potential connectivity in the southwest Indian Ocean
<p>Supplementary datasets and scripts for <em>Coral reef potential connectivity in the southwest Indian Ocean</em>. Please see the readme!</p>
Supplemental Material to Doctoral Thesis "Engineering approach for predicting tunneling crack initiation in trailing-edge adhesive joints of wind turbine blades under mechanical fatigue and thermal residual stresses"
<p>This set supplements the figure data to the doctoral thesis "Engineering approach for predicting tunneling crack initiation in trailing-edge adhesive joints of wind turbine blades under mechanical fatigue and thermal residual stresses", DOI: <a href="https://doi.org/10.14279/depositonce-19144">10.14279/depositonce-19144</a></p>
[Supplementary Material] Personalised Route Training for People with Cognitive Impairments through Co-Creation
<p>Supplementary material for the paper ' Paving the Way: Personalised Route Training for People with Cognitive Impairments through Co-Creation' submitted to MUC 2024.</p>
Material Dependent Influence of Ring/Spot Beam Profiles in Laser Powder Bed Fusion
<p>Raw data associated with a paper submission.<br>"Material Dependent Influence of Ring/Spot Beam Profiles in Laser Powder Bed Fusion"</p> <p>Contained are all the Matlab scripts used for the simulations, as well as csv's of any data plotted in graphs.</p>
From creep to flow: Granular materials under cyclic shear
<p>This document includes all figures (with their captions) and SI for the manuscript entitled 'From creep to flow: Granular materials under cyclic shear' (10.48550/arXiv.2301.07309).</p>
Supplementary materials for the manuscript entitled: "Impacts of creatine on the health of elderly individuals: a bibliometric study"
<p>These images/figures complement what was presented in the results of the manuscript "Impacts of creatine on the health of elderly individuals: a bibliometric study.</p>
CENTRINNO Dissemination - website and social media material
<p>The data bundle contains all supporting visual material for the website and all social media<br>publications deployment, including:<br>- Visual assets, photos, videos, social media posts, newsletters<br>- Pilot contact persons data</p>
Supplementary Materials to Curvature analysis in seed surface of SEM images of Silene species from Turkey
<p><span>(1) JPG files with seed images, Bézier curves and curvature analysis for 40 seeds (one seed of each species); (2) Mathematica files with curvature analysis corresponding to 40 seeds (one seed of each species).</span></p>
Supporting Materials for: The calm before the (next) storm: no third outburst in 2019--2020, and ongoing monitoring of the transient AGN IC 3599
<p>This deposit contains supporting materials for the article "The calm before the (next) storm: no third outburst in 2019--2020, and ongoing monitoring of the transient AGN IC 3599" by Grupe, Komossa, and Wolsing (2024), ApJ. </p> <p>The deposit has the following machine-readable tables:</p> <p><a href="../api/records/10899673/draft/files/MRT_longterm_xray_fig1.txt/content" target="_blank" rel="noopener noreferrer">MRT_longterm_xray_fig1.txt</a>: contains the data used to create Figure 1. These are 0.2-2.0 keV fluxes of IC 3599 fromm ROSAT, Chandra, and Swift observations. </p> <div> </div> <div><a href="../api/records/10899673/draft/files/MRT_swift_observations.txt/content" target="_blank" rel="noopener noreferrer">MRT_swift_observations.txt </a>: contains the information about the Swift XRT and UVOT observations, including the Target ID, segement, start and end times in UT, the MJD of the middle of the exposure times in the XRET and each of the UVOT filters. This table is Table 1 in the Appendix of the paper</div> <div> </div> <div> </div> <div><a href="../api/records/10899673/draft/files/MRT_Swift_results.txt/content" target="_blank" rel="noopener noreferrer">MRT_Swift_results.txt</a> : contains the fluxes measured in the XRT and UVOT filters. These results were used to create Figures 2 - 7. This table is Table 3 in the Appendix of the paper. </div> <div> </div> <p>The deposit conatins the UV W2 image that was use to create Figure 10. This is <a href="../api/records/10899673/draft/files/uvw2_sum_low_2013_2023.fits/content" target="_blank" rel="noopener noreferrer">uvw2_sum_low_2013_2023.fits</a></p> <p> </p> <p>The files <a href="../api/records/10899673/draft/files/arf_pc_2013_2023.fits/content" target="_blank" rel="noopener noreferrer">arf_pc_2013_2023.fits</a> , <a href="../api/records/10899673/draft/files/backgr_spec_pc_2013_2023.fits/content" target="_blank" rel="noopener noreferrer">backgr_spec_pc_2013_2023.fits</a> , <a href="../api/records/10899673/draft/files/source_spec_pc_2013_2023.fits/content" target="_blank" rel="noopener noreferrer">source_spec_pc_2013_2023.fits </a>were used for the X-ray spectral analysis of the low state data between 2013-2023. This low state spectrum is displayed in Figures 8 and 9, and was used for the</p> <p>spectral energy distribution in Fugure 11. </p> <p> </p> <p>The files <span><a href="../api/records/10899673/draft/files/arf_pc_high_2010.fits/content" target="_blank" rel="noopener noreferrer">arf_pc_high_2010.fits</a></span> , <span><a href="../api/records/10899673/draft/files/backgr_spec_high_2010.fits/content" target="_blank" rel="noopener noreferrer">backgr_spec_high_2010.fits</a></span> , <span><a href="../api/records/10899673/draft/files/source_spec_high_2010.fits/content" target="_blank" rel="noopener noreferrer">source_spec_high_2010.fits</a></span> were used to do the X-ray spectral</p> <p>analysis of the 2010 high state data. This spectrum is displayed in Figure 9 and was used in Figure 11 to show the spectral energy distribution. </p> <p> </p>
Supplementary materials for "Zur Schreibung türkischer Familiennamen in deutschen Zeitungstexten. Indexikalisches Potential als Auslöser von graphematischem Wandel", published in Zeitschrift für germanistische Linguistik
<p>Supplementary materials for "Zur Schreibung türkischer Familiennamen in deutschen Zeitungstexten. Indexikalisches Potential als Auslöser von graphematischem Wandel", published in Zeitschrift für germanistische Linguistik</p>
Supplementary materials for "Operando phase mapping in multi-material laser powder bed fusion"
<p>This dataset includes the experimental data for the paper: "Operando phase mapping in multi-material laser powder bed fusion" by S. Sumarli, F. Malamud, S. Van Petegem, S. Gaudez, A. Baganis, M. Busi, E. Polatidis, C. Leinenbach, R. Logé, and M. Strobl. For more information, see the "Open data structure.pdf" file.</p>
Fault zone material files for dynamic rupture modeling of the 2019 Ridgecrest earthquakes
<p>This repository contains the material files used to add a low-velocity fault zone to a dynamic rupture model of the 2019 Ridgecrest sequence (Taufiqurrahman et al., 2023, Nature).</p>
University of Arizona Planetary Photogrammetry Workshop Materials
<p><strong>Workshop Materials Directory Overview</strong></p> <p>This directory contains a collection of workshop materials and resources for training sessions focused on planetary photogrammetric techniques. It includes step-by-step guides, exercises, installation instructions, presentations, and supplementary data files to support participants in utilizing software for photogrammetry.</p> <p><strong>Contents:</strong></p> <ul> <li> <p><strong>Workshop Materials</strong><br>Includes resources on NASA’s Ames Stereo Pipeline (ASP), structure-from-motion (SfM) techniques, photogrammetry basics, and HiRISE DTM analysis in QGIS. Key files:</p> <ul> <li><strong>ASP</strong>: Installation notes, introductory slides, support files, command guide, Docker setup, and stereopipeline documentation.</li> <li><strong>SfM</strong>: Resources and guides on GCPs, surveying, exercise materials, and installation/setup instructions.</li> <li><strong>Additional Materials</strong>: Workshop agenda, QGIS HiRISE DTM analysis guide, and introduction presentations.</li> </ul> </li> <li> <p><strong>Elysium Planitia Lava Preprocessing Data</strong><br>A zip file containing preprocessing data for analyzing the Elysium Planitia region on Mars, useful for DTM and geospatial applications.</p> </li> </ul> <p>Each sub-directory provides targeted resources designed to aid participants in learning digital elevation modeling for planetary surfaces. This structured, multi-session dataset supports both beginners and advanced users in photogrammetry, geospatial analysis, and terrain modeling applications, with a focus on Martian data.</p>
Dataset for Direct Chemical Lithography Writing on 2D Materials by Electron Beam Induced Chemical Reactions
<p>The dataset contains all relevant data and figures regarding the Figure 4, S4 and S5 of manuscript "Direct Chemical Lithography Writing on 2D Materials by Electron Beam Induced Chemical Reactions".</p> <p>All Figures are in tiff format and all relevant data are in csv formats. </p> <p>The data in csv format are labelled as specified in the corresping images (e.g. Figure4a.csv file corresponds to data used to plot graphs from Figure4a etc.). </p> <p>Axis labeling and units are always specified at the beginning of individual columns. If more than one curve was plotted from the csv file, the conditions can also be found at the beginning of corresponding columns.</p>
Supporting materials for: pKa Prediction in Non-Aqueous Solvents
<p>This repository includes datasets and supplementary materials for the manuscript: "pKa Prediction in Non-Aqueous Solvents" by Jonathan W. Zheng, Emad Al Ibrahim, and William H. Green. <strong>Citations should refer directly to the manuscript:</strong></p> <blockquote> <p>Zheng, J. W., Al Ibrahim, E., Kaljurand, I., Leito, I., & Green, W. H. (2024). pKa Prediction in Non-Aqueous Solvents. <em>Journal of Computational Chemistry (2024), </em>doi:10.1002/jcc.27517</p> </blockquote> <p>This compilation includes the predicted and experimental pKa values for all compounds studied in the corresponding work, as well as .xyz files corresponding to all conformers used in the COSMO-RS calculations. </p> <p>For the <strong>.csv </strong>files, column <code>pKa_exp</code> corresponds to the originally-reported experimental value whereas <code>pKa_OK</code> corresponds to the corrected value.</p> <p>The data from <strong>low_error_solvent_preds.csv</strong> and <strong>high_error_solvent_preds.csv</strong> and <strong>unreliable_solvent_preds.csv</strong> are formatted in part based on their compilation in the source manuscript: <em>Busch, M., Ahlberg, E., Ahlberg, E., & Laasonen, K. (2022). How to Predict the pKa of Any Compound in Any Solvent. ACS Omega, 7(20), 17369-17383.</em></p> <p> </p> <ul> <li>Note on version Aug. 28, 2024: fixed erroneous SMILES for several of the benzoic acids in the test set.</li> <li>Note on version Nov. 18, 2024: updated many of the values in the training and test sets, excluding some values and correcting others. SMILES (and corresponding .xyz files) for two values in the test set were updated. </li> </ul>
Supplemental Material for "Anomalous Shear Stress Variation in Wet Granular Medium: Implications for Landslide Lateral Faults"
<p>Dataset and Constrained Parameters for "<strong><em>Anomalous Shear Stress Variation in Wet Granular Medium: Implications for Landslide Lateral Faults</em></strong>" by Chang et al.</p> <p>This dataset comprises 64 rheological experiments, which have been encapsulated in four experimental groups: Full Height, Half Height, Half Height & Load, and Ethanol-Water. </p> <p>The experiments were conducted using a double-cylinder geometry on three-phase granular media to simulate the lateral faults of slow-moving landslides. The dataset includes Mechanical Data for time-evolution measurements of shear stress, fluid volume fraction under varying conditions, and Image Data for velocity fields derived from PIV (Particle Image Velocimetry) analysis.</p> <p>In addition, it provides constrained parameters, such as steady-state shear stress and the characteristics of the flow structure.</p> <p>Article information:</p> <div> <div>Chang, C., Ohno, K., Schulz, W. H., & Yamaguchi, T. (2025). Anomalous Shear Stress Variation in Wet Granular Medium: Implications for Landslide Lateral Faults. <em>Geophysical Research Letters</em>, <em>52</em>(7), e2024GL113816. <a href="https://doi.org/10.1029/2024GL113816">https://doi.org/10.1029/2024GL113816</a></div> </div>
Supplementary material for Petricca et al. (2024), "Partial Differentiation of Europa and Implications for the Origin of Materials in the Jupiter System", Nature Astronomy
<p>This dataset contains the supplementary material data files associated with the <em>Nature Astronomy </em>article "Partial Differentiation of Europa and Implications for the Origin of Materials in the Jupiter System". Each folder contains the interior models associated to every case presented in the paper. The interior properties are listed in text files and can be used to reproduce most of the figures in the main text and supplementary information. The hot and cold labels refer to the different reference temperature profiles.</p>
ScienceDex guides
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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.