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143
datasets available to search
ShareScore release 0.9.0
Dataset results
143 results for “constructive modeling”
Modelling OB stars with TESS: Construction of an asteroseismic sample
<p>Lack of high-precision continuous space-photometry has slowed the unlocking of OB star interiors in large numbers from asteroseismology. TESS is now providing data for large samples of stars allowing us to calibrate interior physics such as core overshooting, interior rotation and envelope mixing from pulsation frequencies. Calibrations of this kind are of major importance to quantitatively describe and predict subsequent evolutionary stages and ultimately their stellar remnants. In this talk I will present new results on the largest OB asteroseismic sample with TESS, which focuses on high frequency pulsators. The sample is characterised by a diverse variability, including pulsations, binarity, and rotational modulation connected to spots induced by magnetic fields. As an important test against theory I discuss the placement of the stars in the theoretical pulsation instability strips, computed using the stellar evolution code MESA and the stellar pulsation code GYRE. This test reveals that several stars show pulsational variability not predicted by current models and additional physics needs to be taken into account. This includes rotation, which is especially important as many OB stars are known to rotate at significant fractions of their critical rotation rates and has a profound effect on their pulsation physics. Identifying signatures of rotational modulation in the TESS photometry is therefore of paramount importance as it allows us to measure the surface rotation rate accurately, assess the influence of rotation on the pulsation physics, and remove degeneracies in asteroseismic modelling. The new TESS results of pulsating OB stars allow their pulsational and structural properties to be determined for the first time ever for such a large sample.</p>
Data Set Generated by the Fuzzy Model Constructed to Describe Execution Tracing Quality
<p>The uploaded data set was generated by the fuzzy model published in T. Galli, F. Chiclana, and F. Siewe. Genetic algorithm-based fuzzy inference system for describing execution tracing quality. Mathematics, 9(21), 2021. ISSN 2227-7390. doi: https://doi.org/10.3390/ma th9212822. URL https://www.mdpi.com/2571-5577/4/1/20.</p> <p>The goal of the data generation is to make the published model available in the form of data points in a 5D space, which facilitates the construction of simpler models to approximate the original model. The names of the columns in the .csv file constitute the quality properties of execution tracing: (1) accuracy, (2) legibility, (3) implementation, and (4) security, while column (5) contains execution tracing quality derived from the fuzzy model. The indices in brackets show the column indices in the .csv file.</p> <p>All variables lie in the continuous range [0, 100], where 100 means the best possible quality value and 0 the complete lack of quality or the lack of the given quality property. While generating the data, the inputs were increased by a step-size 5 and the model's output was collected, i.e. 4 inputs, from including 0 to 100 with 21 data points (21^4 = 194481).</p> <p> </p>
Constructing a Predictive Model for Differentiating Between Benign and Malignant Solid Pulmonary Nodules Based on Clinical and Imaging Features.
ClinicalTrials.gov study NCT06685458. IPD Sharing: NO. Countries: 0. Publications: 11.
Construction of a Prognostic Model for Severe Brain-Injured Patients Based on Integrated Metabolic-Neurological Monitoring
ClinicalTrials.gov study NCT07198490. IPD Sharing: Not stated. Countries: 0. Publications: 3.
Construction and Application of Pressure Injury Risk Prediction Model for Critically Ill Patients
ClinicalTrials.gov study NCT05564975. IPD Sharing: UNDECIDED. Countries: 0. Publications: 8.
Health Management Model Construction and Effect Evaluation of Hypertension Patients Based on Disease-related Health Literacy
ClinicalTrials.gov study NCT04327102. IPD Sharing: UNDECIDED. Countries: 0. Publications: 12.
Construction of a Prognostic and Prediction Model for Perioperative Immunotherapy in NSCLC: a Multi - Omics Perspective
ClinicalTrials.gov study NCT06856798. IPD Sharing: NO. Countries: 0. Publications: 2.
Research on the Complex Scientific Mechanisms Underlying Exercise and Health: Construction and Application of a Mechanistic Model and Public Database（CISS）
ClinicalTrials.gov study NCT06936982. IPD Sharing: NO. Countries: 1. Publications: 0.
Study on the Construction and Application of Early Warning Model of Sepsis in Critically Ill Patients
ClinicalTrials.gov study NCT06904001. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Positive plant-soil feedbacks trigger tannin evolution by niche construction: a spatial stoichiometric model
Open the record for dataset details and reuse information.
Transcriptome sequencing and microRNA–mRNA regulatory network construction in the lens from a Na2Se03-induced Sprague Dawley rat cataract model [RNA]
GEO Series GSE226273. Rattus norvegicus. 6 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome sequencing and microRNA–mRNA regulatory network construction in the lens from a Na2Se03-induced Sprague Dawley rat cataract model [miRNA]
GEO Series GSE226272. Rattus norvegicus. 6 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data
GEO Series GSE120584. Homo sapiens. 1601 samples. Type: Non-coding RNA profiling by array.
Construction of Human Primary Epidermal Organoids and Modeling of Dermatophyte Infection
GEO Series GSE134403. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
HyDrop v2: Scalable atlas construction for training sequence-to-function models
GEO Series GSE293575. Mus musculus; Drosophila melanogaster. 60 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
RNA sequencing of ex vivo microtumor models embedded in different matrices and constructed from either control or Arpc4-knockout cells.
GEO Series GSE305670. Mus musculus. 18 samples. Type: Expression profiling by high throughput sequencing.
Newly constructed network models of different WNT signaling cascades applied to breast cancer expression data
GEO Series GSE73857. Homo sapiens. 5 samples. Type: Expression profiling by high throughput sequencing.
Comprehensive circRNA expression profile and construction of circRNAs-related ceRNA network in a mouse model of autism
GEO Series GSE163904. Mus musculus. 6 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Data supporting "Constructing Emergent U(1) Symmetries in the Gamma-Prime (Γ′) model"
<p>Frustrated magnets can elude the paradigm of conventional symmetry breaking and instead exhibit signatures<br>of emergent symmetries at low temperatures. Such symmetries arise from “accidental” degeneracies within the<br>ground state manifold and have been explored in a number of disparate models, in both two and three dimen-<br>sions. Here we report the systematic construction of a family of classical spin models that, for a wide variety<br>of lattice geometries with triangular motifs in one, two and three spatial dimensions, such as the kagome or hy-<br>perkagome lattices, exhibit an emergent, continuous U(1) symmetry. This is particularly surprising because the<br>underlying Hamiltonian actually has very little symmetry — a bond-directional, off-diagonal exchange model<br>inspired by the microscopics of spin-orbit entangled materials (the Γ′-model). The construction thus allows<br>for a systematic study of the interplay between the emergent continuous U(1) symmetry and the underlying<br>discrete Hamiltonian symmetries in different lattices across different spatial dimensions. We discuss the impact<br>of thermal and quantum fluctuations in lifting the accidental ground state degeneracy via the thermal and quan-<br>tum order-by-disorder mechanisms, and how spatial dimensionality and lattice symmetries play a crucial role<br>in shaping the physics of the model. Complementary Monte Carlo simulations, for representative one-, two-,<br>and three-dimensional lattice geometries, provide a complete account of the thermodynamics and confirm our<br>analytical expectations.</p>
Constructing a 3-D radially anisotropic crustal velocity model for Oklahoma using full waveform inversion
<p>The CSV file is the inverted 3D shear velocity. It contains absolute horizontally and vertically polarized shear velocity, as well as their relative perturbation with respect to the averaged 1-D velocity profile. The radial anisotropy (RA), which is defined in the paper, is also concluded in the file.</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.