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150 results for “Cube”
Pyramid Top Anti Tank Cube - 2022-01-01
Set of two pyramid top anti tank cubes which are one form of British Anti-Invasion Obstacles fro the Second World war. These two are located in Kimmerage - Dorset- Uk. Source: Objaverse 1.0 / Sketchfab
Sol Lewitt - Incomplete Open Cube 6/8 (1974)
Painted aluminum, 106.7 x 106.7 x 106.7 cm Solomon R. Guggenheim Foundation, Hannelore B. and Rudolph B. Schulhof Collection, bequest of Hannelore B. Schulhof, 2012 © Sol LeWitt, by SIAE 2012 Source: Objaverse 1.0 / Sketchfab
F-CUBED LCA inventory
<p>This document has the inventory for the life cycle assessment for the F-CUBED process for the target biogenic residue streams: biological paper sludge, olive pomace and orange peels. Life Cycle impacts for each individual category are also included. </p>
CCF cubes
<p>Contains the files for each temporal cube that is cross correlated with a spectrum as descriebed in paper.</p>
China Earth Observation Data Cube: The 30m Seamless Annual Leaf-On Landsat Composites from 1985 to 2024
<p>The <strong>30m seamless annual leaf-on Landsat composites from 1985 to 2024</strong> were generated using a comprehensive framework designed to ensure high-quality, consistent data across decades. Starting with preprocessed Level-2 surface reflectance images from multiple Landsat sensors, the dataset is restricted to the Leaf-On season, with rigorous cloud and shadow masking applied based on quality assessment bands. To maintain consistency across sensors, spectral harmonization is conducted, followed by annual composite generation using the medoid method to capture peak vegetation conditions. The resulting composites are structured into a spatially consistent data cube, facilitating efficient analysis and monitoring of vegetation dynamics over time.</p> <p>The band naming convention follows Landsat TM standards, with bands designated as <strong>Blue (B1), Green (B2), Red (B3), NIR (B4), SWIR1 (B5), and SWIR2 (B7)</strong>. Both qualitative and quantitative evaluations were conducted to validate the data quality. Here, we provide 2023 image data covering southwestern forest regions of China as a sample for testing. For access to the full dataset, please visit <strong>Google Earth Engine</strong> at <a href="https://code.earthengine.google.com/6d1ea26ff4463277840eaf6a2662763c">this link</a>, and <strong>Earth Engine App (<a target="_blank">Landsat Yearly Composite Viewer</a>)</strong> at <a href="https://ee-caiyt33-catcd.projects.earthengine.app/view/landsat-yearly-composite-viewer">this link</a>.</p> <p><strong><a target="_blank">The dataset has now been updated to include data up to 2024.</a></strong></p> <p><a target="_blank"><strong>Data citation:</strong> Cai, Y., Li, X., Zhu, P., Nie, S., Wang, C., Liu, X., & Chen, Y. (2025). China Earth Observation Data Cube: The 30m Seamless Annual Leaf-On Landsat Composites from 1985 to 2023. <em>Journal of Remote Sensing</em>. </a><a href="https://doi.org/10.34133/remotesensing.0698">DOI: 10.34133/remotesensing.0698</a></p> <p>For data-related inquiries, please contact Dr. Yaotong Cai at <a href="mailto:caiyt33@mail2.sysu.edu.cn">caiyt33@mail2.sysu.edu.cn</a>.</p>
VAMPIRES data cube
<p>A single temporal data cube from the VAMPIRES subinstrument on Subaru/SCExAO. This data was taken at high frequency (~40 Hz) and is used to test lucky imaging techniques.</p>
D-Cube TempLab Concurrent Transmission Dataset
<p>Dataset of bit errors generated during temperature controlled Concurrent Transmission (CT) experiments on the D-Cube "TempLab" testbed at Graz University of Technology, Austria.</p>
M-cube-wustl and Sadtler group/Metastable Bi2Se3 growth mechanism
<p>Raw data and code for "Spontaneous Seed Formation During Electrodeposition Drives Epitaxial Growth of Metastable Bismuth Selenide Microcrystals"</p>
Cube with evangelical images
Cube from the exposition of the Museum of Ancient Belarusian Culture of the National Academy of Sciences of Belarus. Excavated by Georgy Stychau in 1986. Material: horn Date: the beginning of the 17 century Location: Belarus, Minsk, сultural layer of the lower market Cube face length: about 4 cm Source: Objaverse 1.0 / Sketchfab
Orion BN/KL ALMA full spectral cubes
<p>Full spectral data cubes of the Orion BN/KL nebula from http://adsabs.harvard.edu/abs/2017ApJ...837...60B</p>
Data and Source Codes used in "Development of a Global Quasi-3-D Multiscale Modeling Framework: I. Vector Vorticity Model on Cubed Sphere as Cloud-Resolving Component"
<p>Data and Source Codes used in the paper "Development of a Global Quasi-3-D Multiscale Modeling Framework: I. Vector Vorticity Model on Cubed Sphere as Cloud-Resolving Component"</p> <p>Advection Test (ADV): East-West A_TST (100km, Cube), C_TST (25km, Cube), E_TST (5km, Cube),</p> <p> North-South K_TST (100km, Cube), M_TST (25km, Cube), O_TST (5km, Cube) </p> <p>Barotropic Test (BAR): A_TST5 (100km, Cube), Y_TST4 (100km, RLL), C_TST3 (5km, Cube), C_TST1 (5km, RLL)</p> <p>Baroclinic Test (BCL): J_TST30 (100km, Cube), J_TST20 (100km, RLL)</p>
Data set associated with the paper "Implementation of the Vector Vorticity Dynamical Core on Cubed Sphere for Use in the Quasi-3-D Multiscale Modeling Framework"
<p>New data set associated with the revision of the paper "Development of a Global Quasi-3-D Multiscale Modeling Framework: <br> I. Vector Vorticity Model on Cubed Sphere as Cloud-Resolving Component"</p> <p>The title of the paper has been changed to "Implementation of the Vector Vorticity Dynamical Core on Cubed Sphere for Use in the Quasi-3-D Multiscale Modeling Framework"</p> <p>New simulated data set of the advection test is in the folder ADVEC_NEW; New simulated data set of the barotropic instability test is in the folder BARO_NEW; New simulated data set of the baroclinic instability test is in the folder BCL_NEW</p>
Reference Spectra, Laboratory Mixture Spectra, list of NIMS cubes used in this study and the manual corrections to these NIMS cubes for better alignment.
<p>Reflectance spectra for the endmember library, including both the public data and data made in this study. <br><br>Reflectance spectra for the 100% SAO, 10% SAO, 25% SAO, 80% SAO, and 100% Water ice mixtures.<br><br>Text File of the PDS IDs of NIMS data cubes analyzed in this study.</p> <p>(X,Y) offsets applied to each data cube for better alignment between NIMS data and the Global Mosaic.</p>
Escape Game "Sortez du Cube", une initiation à la documentation en médecine
<p><strong>Présentation</strong></p> <p>L’Escape Game “Sortez du Cube” est un Escape Game physique à destination des étudiants en santé mais ouvert à tous les étudiants. Il se compose d’une succession linéaire d’énigmes dont l’objectif de leur accomplissement est de trouver l’indice suivant puis, en dernier lieu, la clé pour sortir du Cube, la salle d’Innovation pédagogique des bibliothèques de l’UVSQ, et donc finir le jeu. L’Escape Game est chronométré et doit être terminé en 30 minutes maximum. Il peut être joué à 8 joueurs en même temps en pleine jauge (6 est le chiffre optimal).</p> <p><strong>Objectif</strong></p> <p>L’Escape Game porte autant un objectif pédagogique que de valorisation documentaire. Les énigmes permettent en effet de signaler et d’apprendre à manipuler de la documentation en santé, physique et électronique, de la DBIST de l’UVSQ (la base de données Visible Body est au centre de ce produit de valorisation). Elles permettent également aux étudiants de travailler en collaboration et de se former entre eux (“va voir le sommaire” ; “ScienceDirect ? Ce doit être une base de données…”) plutôt que de recevoir l’information de manière verticale. De plus, leur posture de recherche est active et donc propice à une meilleure intégration des connaissances.</p> <p><strong>Déroulé</strong></p> <p>On fait entrer le groupe dans la salle, puis on leur demande de mettre une tenue de médecin (ou d’infirmier) que l’on met à leur disposition (Photo 1). La séance commence par l’inscription des joueurs (nom, prénom, numéro étudiant, classe et adresse email). On leur explique ensuite qu’ils n’ont pas besoin de casser ou d’arracher le matériel : les énigmes sont documentaires. </p> <p>On commence ensuite le scénario (Document 1) puis on leur donne la lettre (Document 2). Ils doivent trouver le mot de passe sur un écran pour accéder à l’énigme suivante sur un Genially (Lien 1). Cela continue ainsi, d’énigmes en énigmes jusqu'à la fin du jeu.</p> <p>A la fin du jeu, nous leur faisons un point sur le site de la BU et nos ressources électroniques, puis nous leur demandons de remplir une évaluation de l’activité. Enfin, nous leur remettons un sac de goodies.</p> <p><strong>Retours</strong></p> <p>Sur les 85 évaluations reçues pour le moment, 100% sont positives. Les étudiants apprécient autant le jeu en lui-même que son utilité dans le cadre de l’apprentissage aux compétences informationnelles. Les commentaires des étudiants du parcours santé sont particulièrement élogieux.</p> <p><strong>Organisation et ressources</strong></p> <p>Cet Escape Game a été créé par une équipe de 6 agents. 2 personnels de catégorie A, 3 personnels de catégorie B, 1 personnel de catégorie C. Sa conception a demandé la maîtrise de l’outil Genially, une technicité pour la création d’énigmes (technicité acquise en amont grâce à la conception d’autres produits ludopédagogiques) et beaucoup de bricolages. Le montant dépensé pour cet Escape Game s’élève à moins de 50 euros (achat d’un minuteur).</p>
Chemical imaging data collected on small wood cubes after impregnation-treatment with phenol formaldehyde resin
<p>This dataset contains UV microspectrophotometry (UMSP) and near infrared (NIR) imaging data from the following publication: Altgen M., Awais M. Altgen D., Klüppel A., Koch G., Mäkelä M., Olbrich A., Rautkari L. (2022) Chemical imaging to reveal the resin distribution in impregnation-treated wood at different spatial scales. Materials & Design, DOI: <a href="https://doi.org/10.1016/j.matdes.2022.111481">https://doi.org/10.1016/j.matdes.2022.111481</a>.</p> <p>The data was measured on small beech wood cubes (15x15x15 mm<sup>3</sup>) that were impregnation-treated with a low molecular weight phenol formaldehyde resin. Experimental details can be found in the publication.</p> <p>The file “NIR sample IDs with weight and dimensional changes.csv” contains the sample IDs as well as the weight percent gains and dimensional changes caused by the resin treatment of each sample in the dataset. To generate the NIR image files, a region of interest of 881 x 384 pixels was selected from the raw image files to produce an image that contains the sample surrounded by background. The spectral data was corrected using the calibration reflectance target values and then converted to absorbance. Each NIR image is stored in a separate MATLAB file (.mat) with the sample ID as the file name.</p> <p>The file "UMSP sample IDs.csv" contains the sample IDs of the UMSP images. The folder "UMSP image profiles.zip" contains the corresponding UMSP image profiles, which are stored as excel files (.xlsx) with the sample IDs as file names. The files contain the absorbance at 278 nm per pixel with a pixel resolution of 0.25 x 0.25 µm<sup>2</sup>.</p>
Supplementary Information Materials for the G-Cubed submission by Zakharov et al.
<p>The supporting information is provided for the publication <a href="https://doi.org/10.1029/2022GC010741">https://doi.org/10.1029/2022GC010741</a><em>. </em>The upload contains identification of MGL opal-CT as well as the results of the SIMS and EMPA measurements in cherts. This file also features δD values plotted against the triple O-isotope values of cherts. The Secondary Ion Probe Mass Spectrometry (SIMS) measurements are included as the .xslx table (Data Set S1) with analytical conditions, raw measurements and VSMOW-calibrated values. The Electron Microprobe (EMPA) analyses are provided in the .xslx file (Data Set S2). The Data Set S2 is separated by tabs for individual sample. Images feature the analyzed areas, including petrographic image, reflected light and the SIMS points.</p>
Wi-Fi (CSI and RSSI) data of six basic knife activities for cooking (chopping, cubing, French cutting, julienning, mincing, and slicing)
<p>To gather the dataset, we asked two participants to perform six basic knife activities. The layout of the system experiment is provided in Fig. 4. As it illustrates, we put the receiver on the right side and the ESP32 transceiver on the left side of the performing area. The performing area is a cutting board (30 x 46 cm) in this experiment. Each participant performs each activity five times in the performing area. The data is recorded using a customized version of ESP32-CSI-tool [38] on the laptop that helps us to record and save each data in a separate file. After recording all 60 data entries, we used Python code to extract the clean data from all generated text by the tool. The clean data is stored in a database and creates the dataset.</p>
Digital Detection of Dementia (D Cubed) Studies: D2
ClinicalTrials.gov study NCT05231954. IPD Sharing: NO. Countries: 1. Publications: 2.
Acceptability of Fortified Bouillon Cubes in Northern Ghana
ClinicalTrials.gov study NCT05177614. IPD Sharing: YES. Countries: 1. Publications: 1.
Bowles et al. (2020) - G-Cubed - XRD data
<p>X-ray diffraction (XRD) data set associated with the manuscript:</p> <p>Bowles, J.A., A. Morris, M.A. Tivey, and I. Lascu (2020), Magnetic mineral populations in lower oceanic crustal gabbros (Atlantis Bank, SW Indian Ridge): Implications for marine magnetic anomalies, <em>Geochemistry, Geophysics, Geosystems, doi:</em>10.1029/2019GC008847.</p> <p>See README file for additional details.</p>
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.