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1,880 results for “Dimensionality”
3D-LAKES: A Three-Dimensional Global Lake and Reservoir Bathymetry Utilizing ICESat-2 Altimetry and Landsat Imagery
<p>This study introduces the 3D-Global Lakes (3D-LAKES) dataset, which includes the area-elevation (A-E) relationship and three-dimensional bathymetry for 510,530 global lakes and reservoirs, representing 98.9% of global surface water storage capacity. In this Zenodo, Level 1 (L1) and Level 2 (L2) A-E relationships are provided. L1 products were created using ICESat-2 and Landsat satellites, while L2 products, apply interpolation and extrapolation to L1 products, may contain errors. For detailed structure and format information, please read the "README" file included in the repository.</p> <p>Furthermore,</p> <p>You can view the A–E relationships and 3D bathymetry maps interactively through the Google Earth Engine (GEE) application. Please visit <a href="https://planet-test-projectchi.projects.earthengine.app/view/d-lakes" target="_new" rel="noreferrer">this link</a>.</p> <p>For downloading the 3D Bathymetry maps, please visit either the <strong><a href="https://code.earthengine.google.com/071edead921f56ae44f67888528f854c" target="_blank" rel="noopener">Google Earth Engine (GEE) code</a></strong> or the <strong><a href="https://colab.research.google.com/drive/15yRD3E06zmsm4tAF-mBz-DhHvIKNq1Lh?usp=drive_link" target="_blank" rel="noopener">Python version</a></strong> of the code.</p> <p>For detailed methodology and validation, see Huang (2025)*.</p> <p>Huang, C.H., Zhang, S., Shah, D. <em>et al.</em> 3D-LAKES: Three-Dimensional Global Lake and Reservoir Bathymetry from ICESat-2 Altimetry and Landsat Imagery. <em>Sci Data</em> <strong>12</strong>, 1625 (2025). https://doi.org/10.1038/s41597-025-05911-y</p> <p> </p>
Domain-dependent strain and stacking in two-dimensional van der Waals ferroelectrics
<p>The sample is PVD growth 2D vdW ferroelectric SnSe (Chiu, M. <i>et al.</i> <i>Adv. Electron. Mater.</i> <strong>9</strong>, (2023)). The datasets were collected by electron microscope pixel array detector (EMPAD) under the condition described in this paper (Shi, C. <i>et al.</i> <i>Nat. Commun.</i> <strong>14</strong>, 7168 (2023)). The data analysis code is available in https://github.com/Chuqiao2333/2D_ferroelectric_SnSe </p>
Supplementary Proofs: Quantum Gravitational Cogenesis and Dimensionality in the GOD Framework
<p>This document extends the Gravitational Omnipotent Dimensionality (GOD) framework by presenting supplementary mathematical proofs for Quantum Gravitational Cogenesis (QGC) and Quantum Gravitational Dimensionality (QGD). It explores how memetic forces, cognitive gravity, and quantum coherence interact within multi-dimensional spacetime to unify knowledge propagation and temporal dynamics. The document demonstrates the recursive nature of cognition through gravitational coherence, providing insights into the evolution of knowledge systems and reality’s structure.</p>
Comparison of Approaches for Determining Bioactivity Hits from High-Dimensional Profiling Data
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Constructing a histocytometry pipeline suitable for high dimensional reduction analysis of using graphical user interface software
<p>Image, worksheet and reference files for a Current Protocols journal article</p>
Supporting data set for: Three-dimensional Configuration of Induced Magnetic Fields around Mars
<p>Supplementary data to reproduce figures for: Three-dimensional Configuration of Induced Magnetic Fields around Mars</p>
Quantum circuits reproduce the experimental two-dimensional many-body localization transition point
<p>abstract: While many studies point towards the existence of many-body localization (MBL) in one dimension, the fate of higher-dimensional strongly disordered systems is a topic of current debate. The latest experiments as well as several recent numerical studies indicate that such systems behave many-body localized—at least on practically relevant timescales. However, thus far, theoretical approaches have been unable to quantitatively reproduce experimentally measured MBL features—an important requirement to demonstrate their validity. In this Letter, we use fermionic quantum circuits as a variational method to approximate the full set of eigenstates of two-dimensional MBL systems realized in fermionic optical lattice experiments. Using entanglement-based features, we obtain a phase transition point in excellent agreement with the experimentally measured value. Moreover, we calculate the filling-fraction-dependent MBL phase diagram. We argue that our approach best captures the underlying charge-density-wave experiments and compute the mean localization lengths, which can be compared to future experiments.</p> <p>Access will be granted upon reasonable request.</p>
Variational manifolds for ground states and scarred dynamics of blockade-constrained spin models on two and three dimensional lattices
<p>Abstract: We introduce a variational manifold of simple tensor network states for the study of a family of constrained models that describe spin-<span><span><span><span><span><span><span><span>1/</span></span></span><span><span><span>2</span></span></span></span></span></span></span></span> systems as realized by Rydberg atom arrays. Our manifold permits analytical calculation via perturbative expansion of one- and two-point functions in arbitrary spatial dimensions and allows for efficient computation of the matrix elements required for variational energy minimization and variational time evolution in up to three dimensions. We apply this framework to the PXP model on the hypercubic lattice in one, two, and three dimensions and show that, in each case, it exhibits quantum phase transitions breaking the sublattice symmetry in equilibrium, and hosts quantum many-body scars out of equilibrium. We demonstrate that our variational ansatz qualitatively captures all these phenomena and predicts key quantities with an accuracy that increases with the dimensionality of the lattice, and conclude that our method can be interpreted as a generalization of mean-field theory to constrained spin models.</p> <p>Access will be granted upon reasonable request.</p>
Spatially-diverse High-dimensional Channel State Information (CSI) based Dataset for Human Activity Recognition (HAR)
<p><strong>Introduction</strong></p> <p>The data collection for this novel channel state information (CSI)-based human activity recognition (HAR) dataset was conducted in a rigorously controlled laboratory environment. The space, measuring 5 meters x 8 meters x 3 meters, served as a well-defined testing ground. Four strategically positioned ESP32 devices formed transceiver pairs in a diagonal network, functioning as both transmitters and receivers, which are separated by a distance of 1.5 meters. The transmitters, powered by external power banks for consistent operation, were mounted on tripods at a height of 1.5 meters on the north and east corners. Their corresponding receivers, connected to laptops via USB for real-time CSI data acquisition, were positioned on the south and west corners.</p> <p>This dataset captures a wider range of activities (including subtle movements) and accounts for variations in body type and environmental conditions. It achieves this by collecting CSI data in a controlled environment using multiple transmitter-receiver pairs positioned at different orientations. This setup captures CSI information across 166 subcarriers used in Wi-Fi Wi-Fi IEEE 802.11n on channel 11, providing a richer and more nuanced view of human movement compared to traditional datasets. This data is expected to lead to the development of more robust and generalizable HAR models with higher accuracy and real-world applicability.</p> <p><strong>Description of Dataset</strong></p> <p>The dataset is housed within a directory named "SHD-HAR-Dataset-main" in the repository. This directory is further divided into "raw" and "amplitude" subdirectories. Data in "raw" and "amplitude" directories is further categorized based on participant orientation relative to the transceivers ("front/side"). It's important to note that the samples are synchronized between the "front" and "side" folders. This is because both devices collected data simultaneously for a particular activity. To summarize, the file "activityX.csv" in the "front" folder was collected at the same time as the corresponding "activityX.csv" file in the "side" folder, where "X" represents a unique identifier for each sample. </p> <p>The "raw" directory stores the unprocessed CSI data for each activity sample. These samples are stored as individual CSV files ("activityX.csv") containing 300-450 packets of CSI data obtained within 5 seconds. Each packet encompasses 25 distinct data fields, resulting in a total of 300-450 x 25 data entries per activity stored within the ".csv" file. </p> <p>The "amplitude" directory contains the processed signal amplitude data for 166 subcarriers. This directory mirrors the structure of the "raw" directory, with subdirectories for "front" and "side" orientations and "activityX.csv" files for each sample. However, the data within these files is transformed into a 300-450 x 166 matrix, representing the extracted signal amplitudes from the original CSI data. This format significantly reduces dimensionality while preserving key information for HAR analysis.</p>
Streamlining Linear Free Energy Relationships of Proteins through Dimensionality Analysis and Linear Modeling
<p><span>This dataset and accompanying R code support the manuscript titled "Streamlining Linear Free Energy Relationships of Proteins through Dimensionality Analysis and Linear Modeling," submitted to the Journal of Chemical Information and Modeling. The dataset primarily contains tables detailing the various chemicals, dependent, and independent variables used to develop two-parameter linear models for predicting muscle protein-water and serum albumin-water partition coefficients in this study. Additionally, it includes information on both observed and predicted values of these partition coefficients by newly developed models. The R code comprises scripts used for generating figures and results presented in the manuscript.</span></p> <p><span>The R code comprises scripts used for generating figures and results presented in the manuscript.</span></p> <p><span>These files are currently under restricted access for peer review purposes and will be made publicly available upon acceptance of the manuscript.</span></p>
Flow cytometry data of intestinal immune cells related to Seumetry toolkit for analysis of high-dimensional flow and mass cytometry data
Open the record for dataset details and reuse information.
Three-dimensional interdigitated micro-supercapacitors with record areal cell capacitance
<p>Figues 1, 2 and 4</p>
Data from: Inferring the history of interchromosomal gene transposition in Drosophila using n-Dimensional parsimony
Gene transposition puts a new gene copy in a novel genomic environment. Moreover, genes moving between the autosomes and the X chromosome experience change in several evolutionary parameters. Previous studies of gene transposition have not utilized the phylogenetic framework that becomes possible with the availability of whole genomes from multiple species. Here we used parsimonious reconstruction on the genomic distribution of gene families to analyze interchromosomal gene transposition in Drosophila. We identified 782 genes that have moved chromosomes within the phylogeny of 10 Drosophila species, including 87 gene families with multiple independent movements on different branches of the phylogeny. Using this large catalog of transposed genes, we detected accelerated sequence evolution in duplicated genes that transposed when compared to the parental copy at the original locus. We also observed a more refined picture of the biased movement of genes from the X chromosome to the autosomes. The bias of X-to-autosome movement was significantly stronger for RNA-based movements than for DNA-based movements, and among DNA-based movements there was an excess of genes moving onto the X chromosome as well. Genes involved in female-specific functions moved onto the X chromosome while genes with male-specific functions moved off the X. There was a significant overrepresentation of proteins involving chromosomal function among transposed genes, suggesting that genetic conflict between sexes and among chromosomes may be a driving force behind gene transposition in Drosophila.
Field observations of the three dimensional wind velocity over a nebkha
<p>We set 15 sampling points along the centreline of the nebkha . Two 3D sonic anemometers (Gill-WindMaster) were used to collect the 3D velocity components (<em>u</em>, horizontal; <em>v</em>, spanwise; and <em>w</em>, vertical) at a sampling frequency of 10 Hz . One anemometer was buried in the surface sand to obtain wind velocities at 0.30 m height at each position.Another anemometer was mounted at 0.30 m height, 50 m upwind and 50 m to the side of the nebkha in a non-distorted environment.Both anemometers were aligned horizontally and parallel to the prevailing wind direction. The in this dataset were the raw observations. In this dataset, the data marked with 1 means that they are measured from the mobile anemometer. The data marked with 2 means that they are measured from the reference anemometer.</p>
Data for "Bidirectional phonon emission in two-dimensional heterostructures triggered by ultrafast charge transfer"
<p>Data plotted in Figs. 1-4 and Supplementary Figs. 3-17 for the article, "Bidirectional phonon emission in two-dimensional heterostructures triggered by ultrafast charge transfer". </p>
Supplemental data for "Polarons in two-dimensional atomic crystals"
<p>Supplemental data for "Polarons in two-dimensional atomic crystals"</p>
Addendum Data for "Three-Dimensional Reconnection Spreading in Current Sheets of Non-Uniform Thickness"
<p>This contains the processed simulation data in normalized units (see Sec. 3 for details)</p> <p>by-yzcuts-csv.zip contains the 2D data used for the ZY cuts of the reconnected (normal) component of the magnetic field By for two 3-D simulations shown in Fig. 5. These are CSV arrays with size 256 x 1024 (Z x Y) where by-yz336.csv (fig. 5 panel a) is for the simulation with uniform current sheet thickness 2di taken at a time t=280, and by-yz345.csv (fig. 5 panel b) is for the simulation with non-uniform thickness varying from 1 to 2di taken at a time t = 170. The z coordinate ranges from -127 to 128 in steps of size 1, the y coordinate ranges from -25.6 to 25.55 in steps of size 0.05, and both cuts are for the x = -27.6 plane (2 di downstream from the x-line location). The color bar is saturated at a value of B_y = 0.01 to resolve the very weak magnetic fields spreading in the out-of-plane direction.</p>
Three dimensional videos of anti-GluA2, anti-GluA3 and anti-calbindin staining in vertical slices of the mouse retina
<p>Three dimensional videos of anti-GluA2, anti-GluA3 and anti-calbindin staining in vertical slices of the mouse retina</p>
Many-core algorithms for high-dimensional gradients on phylogenetic trees
<p>XMLs, trees, and log files for "Many-core algorithms for high-dimensional gradients on phylogenetic trees". </p>
Modelagem dimensional do Cadastro Geral de Empregados e Desempregados (CAGED)
<p>The Brazilian Ministry of Labor and Employment (MTE) has a permanent registry of data regarding admissions and dismissals of employees under the Brazilian Consolidation of Labor Laws (CLT) regime, called CAGED (General Register of Employed and Unemployed). Its information is used by the Unemployment Insurance Program, among other social programs, and is<br> published for society's reuse. In this paper, CAGED’s microdata from January 2020 to May 2023 is enriched and consolidated on a dataset, using Kimball’s dimensional modeling technique, and is made available on a binary, open, and columns-oriented data file type, in order to allow simple and efficient data storage and retrieval. This approach was adopted because it is a massive dataset, with more than 123 million records, which presents a technical challenge for manipulation using traditional formats tabular text (CSV).</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.