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1,880 results for “Dimensionality”
Data and code for "Niobium Quantum Interference Microwave Circuits with Monolithic Three-Dimensional (3D) Nanobridge Junctions"
<p>Data and measurements scripts for the paper "Niobium Quantum Interference Microwave Circuits with Monolithic Three-Dimensional (3D) Nanobridge Junctions"</p> <p>The package "stuelab" used in the scripts is also included. <br><br>Funding by the Deutsche Forschungsgemeinschaft (DFG) via Grants No. BO 6068/1-1, No. BO 6068/2-1, and No. KO 1303/13-2, and support from the COST actions NANOCOHYBRI (CA16218) and SUPERQUMAP (CA21144)</p>
Mesosphere/lower thermosphere 3-dimensional spatially resolved winds observed by Chinese multistatic meteor radar network using the newly developed VVP method
<p>This dataset supports the article "Mesosphere/lower thermosphere 3-dimensional spatially resolved winds observed by Chinese multistatic meteor radar network using the newly developed VVP method" . The data are provided in MatLab format.</p>
Data and Code for "A two-site Kitaev chain in a two-dimensional electron gas"
<p>This folder contains the raw data and code used to generate the plots for the paper <em>Engineering Majorana bound states in coupled quantum dots in a two-dimensional electron gas.</em></p> <p>The manuscript can be found <a href="https://arxiv.org/abs/2311.03208">on Arxiv.</a></p> <p>To run the Jupyter notebooks, install Anaconda and execute:</p> <blockquote> <p><em>conda env create -f environment.yml </em></p> </blockquote> <p>followed by:</p> <blockquote> <p><em>conda activate </em>2DEG_Kitaev</p> </blockquote> <p>Finally,</p> <blockquote> <p><em>jupyter notebook</em></p> </blockquote> <p>to launch the notebooks</p> <p>Data is stored in the qcodes '.db' format. Datasets are transformed in the plotting functions to the xarray dataformat, before being processed.</p>
Dataset for Bright Excitonic Fine Structure in Metal-Halide Perovskites: From Two-Dimensional to Bulk
<p>This is the dataset of Posmyk, Katarzyna, et al. "Bright Excitonic Fine Structure in Metal-Halide Perovskites: From Two-Dimensional to Bulk." Journal of the American Chemical Society (2024). It consists of multiple subfolders, in which polarization resolved optical spectra and high magnetic field optical spectra can be found. In each subfolder, one can find raw data for photoluminescence and reflectivity spectra.</p> <p>n1 indicates the thickness of the inorganic quantum well (in this case n=1).</p> <p>filename structure: <br>Spot6_A_pol_win527_1uW_number of aquisitions _ aquisition time _HW_X.csv</p> <p><br>A:photoluminescence (PL) or reflectance (R)<br>X: degree on the half-wave plate</p> <p>pol/nonpol - polarised/nonpolarised<br>Excitation power: x uW <br>Spoty6 - spot on the sample<br>Grating center: win527 - 527 nm</p>
Replication Data for: One-dimensional proximity superconductivity in the quantum Hall regime
Open the record for dataset details and reuse information.
Probing structural superlubricity of two-dimensional water transport with atomic resolution.
<p>Here lies the tabulated data used to create the Figures for the Science manuscript ado1544 titled "Probing structural superlubricity of two-dimensional water transport with atomic resolution".</p>
Presentation in HEARING: High-resolution structural and functional EAR imaging 2023: Three-dimensional vibration of the human tympanic membrane using a scanning laser doppler vibrometer
<p>This is for Bastian Baselt's poster presentation in HEARING: High-resolution structural and functional EAR imaging, Ascona, Switzerland in 2023, and the related data.</p>
Two-dimensional metalorganic ferromagnets
<p>Dataset of NiTCNE on Au(111).</p> <p>XPS, STM, nc-AFM data, XAS/XMCD/XLD spectra and XMCD magnetization data.</p>
Three-dimensional Unfolding and Unfaulting Dataset for Structural Interpretation Using Self-Supervised Learning
<p>This dataset accompanies the study "Three-dimensional unfolding and unfaulting for structural interpretation using self-supervised learning." It provides synthetic data used to develop and validate a novel 3-D lightweight neural network framework for restoring deformed geological structures to their flattened state. The data include highly deformed examples with complex faulting and folding, designed to test the model's ability to compute precise shifts that realign stratigraphic layers. </p>
Investigation of two-dimensional radio-frequency sheath properties using a microscale fluid model
<p>In previous work (Kohno H. and Myra J.R. 2023 Comput. Phys. Commun. 291 108841), we developed a numerical scheme based on a two-dimensional microscale radio-frequency (RF) sheath model with periodically curved wall boundaries. Here, we expand the capability of this scheme through modification of the boundary conditions (BCs) on the conducting walls, which allows the ion flow to turn back to the plasma at locations on the walls where the electromagnetic force on the ions is reversed from its usual direction. Numerical simulations are carried out to investigate the dependences of the surface-integrated admittances on the wall bump height, ion magnetization, ion mobility, and the magnetic field angle, and to visualize the sheath structures in several cases. One of the main results is the ion cyclotron admittance resonance observed under the condition of low ion mobility (high normalized frequency). It is shown that the amplitude of the resonance peak depends on the wall bump height and the ion velocity is reversed on the sides of the bump in an RF cycle for the resonance cases. Furthermore, the differences in the admittances between the one- and two-dimensional microscale models are assessed for the purpose of understanding non-locality of the sheath near the wall surface for the parameters considered in this study. This information will be essential for improving the sheath BC for macroscale calculations in the future.</p>
Vertices of the Birkhoff polytope of 3-dimensional matrices of order 4
<p>533 equivalence classes of vertices of the polytope of 3-dimensional polystochastic matrices of order 4 in lexicographic order (including 21 vertices missed in first version).</p> <p>Format of data: entries of matrix / common denominator; size of support; value of permanent rounded to four decimals; exact value of permanent; number of automorphims</p>
Three-dimensional crustal channel flows beneath the southeastern Tibetan Plateau revealed by full-waveform ambient noise tomography
<p>This is a new version of Vp and Vs models for paper titled "Three‐Dimensional Crustal Channel Flows Beneath the Southeastern Tibetan Plateau Revealed by Full‐Waveform Ambient Noise Tomography" published in Geophysical Research Letters.</p> <p>Modification history: new Vs model includes from surface downward to 120 km depth.</p> <p>Please ignore the models in version 1 and 2.</p>
Single-Shot Three-Dimensional Orientation Imaging of Nanorods Using Spin to Orbital Angular Momentum Conversion_experimental_dataset
<p>This is the datafile containing the raw experimental data to the article Fordey et al., Single-Shot Three-Dimensional Orientation Imaging of Nanorods Using Spin to Orbital Angular Momentum Conversion, <em>Nano Lett.</em> 2021, 21, 17, 7244–7251. </p>
Data from: Human face-off: a new method for mapping evolutionary rates on three-dimensional digital models
<p>Modern phylogenetic comparative methods allow estimating evolutionary rates of phenotypic change, how these rates differ across clades, and assessing whether the rate remained constant over time. Unfortunately, currently available phylogenetic comparative tools express the rate in terms of a scalar dimension, hence they do not allow us to determine rate variations among different parts of a single, complex phenotype, or charting of realized rate variation directly onto the phenotype. Herein, we present a new method which allows the mapping of evolutionary rate variation directly on three-dimensional phenotypes, informing on the direction and magnitude of trait change automatically.</p> <p>This new method, implemented by the function rate.map embedded in the R package 'RRphylo', is based on phylogenetic ridge regression rate estimates. Since the latter represent ridge regression slopes, they possess sign and magnitude. In 'RRphylo', different rates are calculated for different districts of the phenotype, which can then be visualized directly onto the phenotype itself. We present the application of rate.map to the evolution of facial skeleton in Hominoidea (the clade including living and fossil apes), the primate clade inclusive of Homo and the greater apes. We found that the highly derived, unique shape of the face in modern humans evolved through rapid phenotypic changes affecting the nasal bones, the brow ridge and the maxillary region. The canine fossa, a facial feature unique to Homo sapiens, did not belong to a region of rapid phenotypic change, and could be seen as the by-product of midface evolution as suggested by previous studies.</p>
Regularized quantum periods for two-dimensional Fano manifolds
<p><strong>The database smooth_fano_2</strong></p> <p>This is a database of regularized quantum periods for two-dimensional Fano manifolds. There are ten entries in the database.</p> <p>Each entry in the database is a key-value record with keys and values as described in the paper:</p> <p><em>Databases of Quantum Periods for Fano Manifolds</em>, Tom Coates and Alexander M. Kasprzyk, 2021.</p> <p>If you make use of this data, please cite the above paper and the DOI for this data:</p> <p>doi:10.5281/zenodo.5708232</p>
Regularized quantum periods for three-dimensional Fano manifolds
<p><strong>The database smooth_fano_3</strong></p> <p>This is a database of regularized quantum periods for three-dimensional Fano manifolds. There are 105 entries in the database.</p> <p>Each entry in the database is a key-value record with keys and values as described in the paper:</p> <p><em>Databases of Quantum Periods for Fano Manifolds</em>, Tom Coates and Alexander M. Kasprzyk, 2021.</p> <p>If you make use of this data, please cite the above paper and the DOI for this data:</p> <p>doi:10.5281/zenodo.5708272</p>
ZEO-1, A Stable Zeolite Catalyst with Intersecting Three-Dimensional extralarge Plus Large Pores
<p>ZEO-1 is an aluminosilicate zeolite with a multidimensional system of interconnected extra-large pores. This aluminosilicate has a high silica content and a zeolitic, non-interrupted framework, with high thermal and hydrothermal stability. The pore system of ZEO-1 contains both 3D 16MR and large 3D 12MR channels with high interconnectivity that results in three types of supercages with four windows of 16MR and/or 12MR. </p>
The Three-Dimensional Collapse Of A Rapidly Rotating 16 $M_{\odot}$ Star
<p>Data products from ApJL article The Three-Dimensional Collapse Of A Rapidly Rotating 16 $M_{\odot}$ Star, 2022. 3D rapidly rotating core-collapse supernova progenitor model at two different times. MESA inlist and model at time of mapping also included. All 3D data are in FLASH4 format using the HDF5 data structure. </p>
Projection of high-dimensional genome-wide expression on SOM transcriptome landscapes: supplementary datasets
<p>This is a supplementary dataset with raw data, scripts, and complete analysis results for the paper "Supervised projection of high-dimensional genome-wide expression on SOM transcriptome landscapes". </p> <p>The archive contains three folders:</p> <p>1. "Simdata" folder contains data, scripts, and results of performance evaluation of extension SOM and supervised SOM with simulated data. </p> <p>2. "IBD" - folder contains data, scripts, and results of analysis of Inflammatory bowel disease datasets.</p> <p>3. "BC" - folder contains data, scripts, and results of analysis of breast cancer datasets.</p>
Leaf economics in a three‐dimensional environment: Testing leaf trait responses in vascular epiphytes to land use, climate, and tree zone
<p>1. The study of functional traits offers predictive power for community ecology. Particularly in cases where individual species are difficult to study, known properties of trait spectra, such as the leaf economics spectrum (LES), and trait-environment relationships can provide crucial generalizable information that can contribute to forecasts of distributional shifts in response to the abiotic effects of climate and land use changes.</p> <p>2. Vascular epiphytes have been proposed as indicators of environmental change, but we know little about the ecology of most species. Key functional trait assumptions are based on terrestrial plants; testing these in epiphytes verifies their universality and will inform applying functional traits in predicting epiphyte responses to climate and land use change.</p> <p>3. In this study, we use functional traits from 37 vascular epiphyte species from forests and shade coffee farms at two sites in northern Nicaragua. We compare correlations among traits and intraspecific trait variances with those of terrestrial plants and among epiphyte taxonomic groups. We also test trait responses to environmental differences between sites and land use types, and within zones of the tree.</p> <p>4. We find that epiphyte leaf traits fall toward the slower end of the LES, but with about one-third lower leaf nitrogen per change in specific leaf area (SLA) relative to terrestrial herbaceous plants. Bromeliads show less relationship between these traits than other epiphyte groups and also deviate in other trait interrelationships, suggesting unique leaf construction.</p> <p>5. Trait-environment relationships varied most strongly along vertical gradients within trees, but some traits, including SLA and carbon isotope ratio, also responded to land use and site differences.</p> <p>6. We present evidence that trait relationships established for terrestrial plants appear to translate to epiphytes, but identify some possible caveats. Strong trait response to vertical gradients within trees suggests that within-canopy shifts could provide resilience to climate and land use changes for some epiphyte species.</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.