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150 results for “Cube”
BCD VLA BC configuration cubes
Open the record for dataset details and reuse information.
A global land-use data cube 1992-2020 based on the Human Appropriation of Net Primary Production: Dataset 3
<p>This dataset is part of the LUIcube, a global dataset on land-use at 30 arcsecond spatial resolution. The LUIcube includes information on area, the change in NPP due to land conversions (HANPP<sub>luc</sub>), the harvested NPP (including losses, HANPP<sub>harv</sub>), and the NPP remaining in ecosystems after harvest (NPP<sub>eco</sub>) for 32 land-use classes in annual time-steps from 1992 to 2020. A detailed description of the LUIcube is available in the accompanying publication.</p> <p>The layers of land-use areas are provided in square kilometers (km²) per grid cell. All NPP flows are provided in tC/yr per grid cell. Adding HANPP<sub>harv</sub> to NPP<sub>eco</sub> results in the actual NPP available before harvest (NPP<sub>act</sub>=NPP<sub>eco</sub>+HANPP<sub>harv</sub>), and adding HANPP<sub>luc</sub> to NPP<sub>act</sub> results in the potential NPP available in the hypothetical absence of land use (NPP<sub>pot</sub>=NPP<sub>act</sub>+HANPP<sub>luc</sub>) for the given land-use class. Area-intensive values (in gC/m²/yr) can be calculated by dividing the NPP flows by the area of the respective land-use class per grid cell. HANPP in % of NPP<sub>pot</sub> can be calculated by summing up HANPP<sub>harv</sub> and HANPP<sub>luc</sub> and dividing it by NPP<sub>pot</sub>. Areas and NPP flows of land-use classes can be aggregated to calculate their overall HANPP.</p> <p>This Zenodo repository provides data on following land-use classes: grazing land with (almost) no trees (GL-notrees); cropland used for production of other fibres (CL-OFIB); fallow cropland areas (CL-FALL)</p>
ALMA cubes and integrated maps of the d203-506 protoplanetary disk
<p>These are the ALMA reduced data of the d203-506 protoplanetary disk. The data was obtained as part of the project 2017.1.01478.S (PI J.~Champion). The data was reduced at the ALMA regional node in Grenoble thanks to the help of Edwige Chapillon. </p>
SC4CT-2023: X-ray micro-CT datasets of Rubik's cube, Lego Gandalf, match head and frozen mouse.
<p>Four micro CT datasets acquired at the Technical University of Denmark in January 2023. Each dataset consists of zip-file containing both projection and vendor reconstruction data along with geometric metadata. </p> <p>The datasets were acquired by teachers and students of the DTU course Scientific Computing for Computed Tomography (SC4CT) in January 2023, <a href="https://people.compute.dtu.dk/pcha/HDtomo/SCforCT.html">https://people.compute.dtu.dk/pcha/HDtomo/SCforCT.html</a></p> <p> </p> <p><strong>Rubrics cube:</strong> Nikon micro-CT dataset of a Rubik's cube, showing the internal plastic and metal mechanisms.</p> <p><strong>Frosen mouse:</strong> Nikon micro-CT dataset of a frozen mouse. The sample slipped during the scan so contain a few movement artifacts which may be removed if using only short-scan data.</p> <p><strong>Match:</strong> Zeiss micro-CT dataset of a match head showing the constituents of the head.</p> <p><strong>Wizard:</strong> Zeiss micro-CT dataset of a Lego Gandalf mini figure with cape and staff.</p> <p> </p> <p>Reconstruction from the raw projection data can for example be done using the Core Imaging Library (CIL), <a href="https://ccpi.ac.uk/cil/">https://ccpi.ac.uk/cil/</a>, reading in the data using either the CIL ZeissDataReader or NikonDataReader.</p> <p> </p>
Assessment of the Bioavailability of Iron in Iron Fortified Bouillon Cubes in Healthy Nigerian Women
ClinicalTrials.gov study NCT02815449. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Zhaojie yu G-cubed submitted
<p>Clay minerals data from 77-186 and 77171</p>
Visually Inferring Elasticity from the Motion Trajectory of Bouncing Cubes
<p>Dataset relative to the following publication:</p> <p>Paulun, V.C., & Fleming, R. W. (2020). Visually Inferring Elasticity from the Motion Trajectory of Bouncing Cubes. <em>Journal of Vision, </em>20(6):6, 1–14, https://doi.org/10.1167/jov.20.6.6</p> <p>One folder contains the stimuli, another folder contains data from the main and control experiment.</p>
ALMA Titan image cubes for CH3CN, HC3N and HNC observed August 2016 and May 2017
<p>These 3D FITS files contain spectral line emission flux from Titan (in Janskys per beam) as a function of RA, dec. and frequency, observed using Atacama Large Millimeter/submillimeter Array (ALMA).</p> <p>ALMA observations of Titan were obtained on 2017-05-08 and 2017-05-16 (as part of ALMA program 2016.A.00014.S; PI: Cordiner) and on 2016-08-18 and 2016-08-19 (as part of ALMA program 2015.1.01023.S; PI: Gurwell). The HNC (J=4-3), HC3N (J=40-39) and CH3CN (J=19-18) transitions were observed in 2017, whereas the HNC (J=4-3), HC3N (J=39-38) and CH3CN (J=19-18) were observed in 2016.</p> <p>The raw observations were calibrated using standard scripts supplied by the observatory. The resulting measurement sets were continuum-subtracted using low-order polynomial fits to the line-free spectral regions adjacent to our lines of interest. The data were then imaged and cleaned (deconvolved) using the tclean algorithm in CASA 5.6. This routine implicitly corrects for the time-variability of Titan's position and radial velocity with respect to the observer, so the resulting image cubes are in the rest frame of Titan's center-of-mass. To facilitate meaningful intercomparisons, accounting for Titan's varying Geocentric distance, the 2016 and 2017 datasets were convolved to common circular beam dimensions, as projected in the plane of the sky. The image cubes were then cropped to isolate the emission lines of interest.</p>
Supplementary Data Tables for Stolper et al. (2022) Constraints on Early Paleozoic deep-ocean oxygen concentrations from the iron geochemistry of the Bay of Islands ophiolite in G-Cubed
<p>Supplementary data tables for Stolper et al. (2022) associated with the paper entitled "Constraints on Early Paleozoic deep-ocean oxygen concentrations from the iron geochemistry of the Bay of Islands ophiolite" published in <em>G-Cubed</em>.</p>
Data cubes corresponding to the article "Three-dimensional Structure of the Corona during WHPI Campaign Rotations CR-2219 and CR-2223"
<p>CONTENTS of REPOSITORY:</p> <p>The shared data corresponds to 3D tomographic reconstructions and 3D MHD simulations of the solar corona and solar wind of WHPI targets CR-2219 and CR-2223. Each 3D cube of data is specified in a uniform spherical grid, as described in the IDL codes that allow reading the cubes into memory. The specific shared products are: </p> <p>3D Tomographic reconstructions:<br> * DEMT: Electron density (Ne) and temperature (Te) in the height range 1.02-1.25 Rsun (based on AIA images).<br> * WL-SRT: Electron density (Ne) in the height range 2.5-6.0 Rsun (based on LASCO-C2 data). </p> <p>3D MHD steady-state simulations using the AWSoM model:<br> * Electron density (Ne) and temperature (Te).<br> * Magnetic field components (Br, Bth, Bph).<br> * Radial component of the solar wind velocity (Vr).</p> <p>INSTRUCTIONS: The IDL script included contains comments describing how to read into memory the data.<br> </p>
Stimuli Data Experiment on LEV (IEM CUBE)
<p>Loudspeaker stimuli of experiment.</p>
Dataset for "The Role of Upper Mantle Forces in Post-Subduction Tectonics: Plumelet and Active Rifting in the East Anatolian Plateau" (G-Cubed, 2024).
<p>This archive contains datasets related to the manuscript “The Role of Upper Mantle Forces in Post-Subduction Tectonics: Plumelet and Active Rifting in the East Anatolian Plateau” by Uluocak et al., (G-cubed). It contains input data, codes, and outputs for the numerical model shown and discussed in the paper. Please read the README.txt file for more information, and feel free to contact the corresponding author (Ebru Şengül Uluocak, ebrusengul@gmail.com) who is an open-source advocate and a supporter of open- science.</p>
Enhanced grasp WTS-FT cube trial 1
<p>Enhanced grasp using the WTS-FT cube trial 1</p>
USING THE "BLOOM'S CUBE" IN LITERATURE LESSONS
Open the record for dataset details and reuse information.
Dataset for paper: Multi-Fidelity Surrogate Modelling of Wall Mounted Cubes
<p>Dataset including samples of LES and RANS data of the flow around tandem wall mounted cubes.</p> <p>Samples are taken as lines along the centre of the domain and a number of slices.</p> <p>This data is used in the paper "Multi-Fidelity Surrogate Modelling of Wall Mounted Cubes".</p> <p>The data is used by code found in the repository https://github.com/admole/Multi-Fidelity-Surrogate/tree/FTaC</p>
alm_cube
<p>Maillage msh cube 4 couches avec support h=0.2</p>
A Multi-loop, Double-cube Microarray Design Applied to Prostate Cancer Cell Lines with Variable Sensitivity to Histone Deacetylase Inhibitors
GEO Series GSE34452. Homo sapiens. 22 samples. Type: Expression profiling by array.
Rubik Cube with PBR (ish)
Made this for testing some stuff, colours are accurate and based on a real cube. Is not modelled to turn, you'll have to slice yourself. Placed under 'Cultural' as there's no category for Toys/Puzzles. Source: Objaverse 1.0 / Sketchfab
G0.412+0.052 continuum image & data cubes (ALMA project 2016.1.00949.S)
<p>This dataset contains data from the ALMA project 2016.1.00949.S for G0.412+0.052 as presented in Williams et al. (2022). These data include the dust continuum, and data cubes for SiO (5-4), 13CO (2-1), and three transitions of H2CO. Both primary beam- and non primary beam-corrected data are included.</p>
Archimedes Cube Key
Archimedes Cube Key from echoflowers.org The Holograpohic Technology comes from Geometric Drawing, as Leonardo da Vinci within the 3D computer space. The Craft of Drawing is the only way of seeing the realtionships of Dynamic Symetry, which show the Holographic Reflection. The computer animates in milliseconds what would take a top Architectural Geometer days to redraw in one fixed position. The gateway to the Holographic is The Three Dimentional Golden Section, show in VIDEO TUTORIAL link. The Science of Drawing Geometry is extended significantly when drawn Three Dimensionally in the Computer, with the most simple of understandings; The End Point The Mid Point The Centre Point The computer finds these points exactly every time, with a precision unheard of. This simple precision unlocks the Holographic Vocabulary of Reflected Space within the Platonic Solids. Source: Objaverse 1.0 / Sketchfab
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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.