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Dataset results
150 results for “data fusion”
Multimodal omics data fusion for cancer prognosis with co-attention-based variational autoencoder
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Optical Emission and Reflection Data for Melting Regime Classification in Laser Powder Bed Fusion of 316L Stainless Steel and Ti-6Al-4V
<p>This dataset and accompanying code repository contain the experimental data and analysis scripts used in the study of real-time melting regime classification in Laser Powder Bed Fusion (LPBF) processes. The data includes optical sensor measurements (emission and reflection) collected during LPBF printing of 316L stainless steel and Ti-6Al-4V specimens, along with corresponding process parameters.</p>
Raw data from Fast generation of a metamodel for conduction mode melt pool dimensions in Laser Powder Bed Fusion
<p>This is the raw data repository for the submission of the Manuscript <span>"Fast generation of a metamodel for conduction mode melt pool dimensions in Laser Powder Bed Fusion"</span></p>
An Integrated Approach for enhanced SMAP Soil Moisture Retrieval: Multi-Source Data Fusion and Data-Driven Machine Learning
<p><span>Accurate satellite-based soil moisture (SM) retrieval is essential for hydrometeorological and agroecological applications, yet traditional physical models for L-band SM retrieval are hindered by uncertainties stemming from inaccuracies in prior parameters. This work combines multi-source data fusion and a physically-guided machine learning framework to develop a Soil Moisture Active Passive (SMAP) SM retrieval model (Fusion-LightGBM, F-LGB) that bypasses the need for static prior parameters, resulting in a new SM product. The retrieval benchmark is a new seamless SM data constructed by combining Triple Collection correlation coefficients (TC-R) and the Maximized-R method, which demonstrates superior temporal correlation on 20 International Soil Moisture Network (ISMN) <em>in-situ</em> networks compared to existing SM data, including ECMWF Reanalysis v5-Land (ERA5-Land), SMAP Level 4 (SMAP L4), and Global Land Data Assimilation System (GLDAS) Noah. The machine learning model incorporates input variables that represent the Tau-Omega model’s radiative transfer process, including brightness temperature, vegetation optical depth, soil temperature, and an external variable for precipitation. In the 2015-2020 validation set, F-LGB demonstrated the highest correlation (mean R = 0.72, significantly surpassing the second-best SMAP-INRAE-BORDEAUX (SMAP-IB) SM and deep neural network (DNN) SM at 0.67) and the lowest ubRMSE (mean value of 0.052 m<sup>3</sup>/m<sup>3</sup>, better than 0.055 m<sup>3</sup>/m<sup>3</sup> for both DNN and SMAP-IB). F-LGB performed well across diverse land covers, vegetation densities, and climates, with SHAP analysis showing H-polarized brightness temperature as crucial, especially in areas with low to moderate vegetation. This new machine learning-based SMAP SM product may improve global satellite-based SM estimation capabilities.</span></p>
Data from: Multiple origins of sex chromosome fusions correlated with chiasma localization in Habronattus jumping spiders (Araneae: Salticidae)
Entelegyne spiders rarely show fusions yielding neo-Y chromosomes, which M. J. D. White attributed to a constraint in spiders, namely their proximal chiasma localization acting to upset meiotic segregation in males with fusions. Of the 75 taxa of Habronattus and outgroups studied, 47 have X1X20 sex chromosomes in males, 10 have X1X2Y, 15 have X1X2X3Y, 2 have X0, and one has both X1X20 and X1X2X3Y. Chromosome numbers and behavior suggest neo-Ys formed by an autosome-X fusion to make X1X2Y, with a second fusion to an autosome to make X1X2X3Y. Phylogeny shows at least 8-15 gains (or possibly some losses) of neo-Y (i.e. X-autosome fusions), a remarkable number for such a small clade. In contrast to the many X-autosome fusions, at most one autosome-autosome fusion is indicated. Origins of neo-Y are correlated significantly with distal localization of chiasmata, supporting White's hypothesis that evolution of neo-Y systems is facilitated by looser pairing (distal chiasmata) at meiosis. However, an alternative (or contributing) explanation for the correlation is that X-autosome fusions were selected to permit isolation of male-favored alleles to the neo-Y chromosome, aided by distal chiasmata limiting recombination. This intralocus sexual conflict hypothesis could explain both the many X-autosome fusions, and the stunning complexity of male Habronattus courtship displays.
A non-intrusive nuclear data uncertainty propagation study for the ARC fusion reactor design
<p>Dataset of perturbed nuclear data files employed in the Serpent Monte Carlo code for the nuclear data uncertainty propagation analysis of the Affordable, Robust and Compact (ARC) fusion reactor. </p>
Movies and data to accompany "Single-virus fusion measurements reveal multiple mechanistically equivalent pathways for SARS-CoV-2 entry"
<p>Movies and data to accompany "Single-virus fusion measurements reveal multiple mechanistically equivalent pathways for SARS-CoV-2 entry".</p> <p>AVI files contain movies of video micrographs</p> <p>TIFF files contain primary micrographs for representative experiments</p> <p>XLS file contains analyzed data with individual fusion waiting times (as well as locations of fusion events)</p>
Vacuole fusion in fluorescent images training data
<p>Fluorescent image training data for classification tasks associated with the paper ‘<strong><em>Automated quantification of vacuole fusion and lipophagy in Saccharomyces cerevisiae from fluorescence and cryo-soft X-ray microscopy data using deep learning</em></strong>’ https://doi.org/10.1101/2023.02.27.530171</p> <p>All images contain a ROI with FM4-64 and BODIPY 493/503 channels. Images are placed in folders corresponding to their respective classes.</p>
gmastrantoni/MultiHazard: Multi-Risk Ranking for Ground Instabilities through Geohazards and InSAR Ground Motion Data Fusion to Enhance Urban Resilience
<p>This release is a direct link with a Zenodo repository containing the input data.</p>
Data Fusion for Signalized Arterial Performance Measurement - ATSPM Dataset
<p>This dataset is used for the STRIDE N2 project titled "Data Fusion for Signalized Arterial Performance Measurement". This dataset is a crucial part of the ATSPM (Automated Traffic Signal Performance Measures) project and consists of high-resolution vehicle detection data. Provided by Utah's Department of Transportation (UDOT), the data covers two significant corridors: corridor-1, 300W (US-89), and corridor-2, 700E (UT-71).</p> <p><strong>Details:</strong></p> <ol> <li> <p><strong>Intersection Specific Data:</strong> A particular focus of the dataset is on an intersection at corridor-2, located at 700 East and 500 South. The data here is meticulously prepared using detector data and signal timing (phase) data.</p> </li> <li> <p><strong>Event-Based Time Stamps:</strong> The time stamps are event-based, featuring an accuracy of 0.1 seconds, and consist of two main variables: event parameter and event code.</p> <ul> <li><strong>Event Parameter:</strong> Represents a detector or phase ID, crucial in identifying specific locations and functions within the intersection.</li> <li><strong>Event Code:</strong> Defines the condition of the detector or phase, indicating whether it is "on" or "off."</li> </ul> </li> <li> <p><strong>Cycle by Cycle Data</strong></p> </li> <li> <p><strong>Applications:</strong> The high granularity of this dataset makes it an essential resource for transportation researchers, traffic engineers, urban planners, and policymakers, seeking to enhance the efficiency, safety, and sustainability of road networks.</p> </li> <li> <p><strong>Access and Usage:</strong> The dataset is available in a machine-readable format, and users are encouraged to refer to the UDOT's web page on ATSPM to download the entire dataset. </p> </li> </ol>
Data from: Do males form social associations based on sexual attractiveness in a fission-fusion fish society?
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Data from: Are fission-fusion dynamics consistent among populations? A large-scale study with Cape buffalo
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Data from: Major improvements to the Heliconius melpomene genome assembly used to confirm 10 chromosome fusion events in 6 million years of butterfly evolution
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Data from: Applying the resource dispersion hypothesis to a fission–fusion society: A case study of the African lion (Panthera leo).
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Data from: Quantifying uncertainty due to fission-fusion dynamics as a component of social complexity
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Data from: Characterization of a novel fusion gene EML4-NTRK3 in a case of recurrent congenital fibrosarcoma
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Data from: Wolves at the crossroad: fission-fusion range biogeography in the Western Carpathians and Central Europe
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Data from: Multiple origins of sex chromosome fusions correlated with chiasma localization in Habronattus jumping spiders (Araneae: Salticidae)
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Data from: Lineage fusion in Galápagos giant tortoises
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Data from: Insight into genomic changes accompanying divergence: genetic linkage maps and synteny of Lucania goodei and L. parva reveal a Robertsonian fusion
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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.