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124
datasets available to search
ShareScore release 0.9.0
Dataset results
124 results for “quantitative modeling”
Figure 1 from: Desvignes V, Buschhardt T, Guillier L, Sanaa M (2019) Quantitative microbial risk assessment for Salmonella in eggs. Food Modelling Journal 1: e39643. https://doi.org/10.3897/fmj.1.39643
Figure 1 Global method of risk assessment.
Figure 7 from: Basak S, Christy J, Guillier L, Audiat-Perrin F, Sanaa M, Tenenhaus-Aziza F, Bect J, Vazquez E (2024) Quantitative risk assessment of Haemolytic and Uremic Syndrome (HUS) from consumption of raw milk soft cheese. Food and Ecological Systems Modelling Journal 5: e109502. https://doi.org/10.3897/fmj.5.109502
Figure 7 Output module.
Evolving geometries, topologies, and apertures in fracture networks: Quantitative insights from lattice modeling
<p>Fracture networks are crucial in controlling rock mass permeability. Some of the important features of the fracture networks like the density, interconnectivity, spatial distribution, and fracture apertures determine the success of the subsurface operations. Fracture networks can be studied with analogue studies, physical experiments, and numerical modeling. In this study, we analyse the evolution of a two-dimensional fracture network under gravitational and shear loads using the lattice modeling capabilities of the microstructural modeling environment “Elle”. The simulation cases include varying gravitational loads and Young’s moduli of the formations. The topological progression of the modeled fracture network from isolated to interconnected nodes depicts a realistic network evolution process. The study shows that the rock stiffness exhibits a direct correlation with the number of fractures influencing the average aperture size of the network. A higher gravity load resulted in the development of a sparse fracture network. Stiffer rock models also showed an early onset of fracturing.</p>
Modelling in the Quantitative Analysis of Brain PET Scans in Patients With Alzheimer's Disease
ClinicalTrials.gov study NCT04718207. IPD Sharing: NO. Countries: 1. Publications: 0.
The Quantitative Study of the Habenula Based on Multi-channel Cascaded Neural Network and the Establishment of the Prediction Model of the Curative Effect in Patients With Depression
ClinicalTrials.gov study NCT05872607. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluating DyNamic Myocardial Blood Flow QUantitation As a Cost Effective Care ModeL for DiabEtic Patients With Coronary Artery DiSease
ClinicalTrials.gov study NCT05343884. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Real-time quantitative PCR analysis of U87ΔEGFR intracranial mouse models treated with bevacizumab
GEO Series GSE126168. Homo sapiens. 7 samples. Type: Expression profiling by RT-PCR.
Data from: Ancestral character estimation under the threshold model from quantitative genetics
Open the record for dataset details and reuse information.
Data from: Genetic evolution, plasticity and bet-hedging as adaptive responses to temporally autocorrelated fluctuating selection: a quantitative genetic model
Open the record for dataset details and reuse information.
A modified bacterial one-hybrid system yields improved quantitative models of transcription factor specificity
GEO Series GSE26767. synthetic construct. 53 samples. Type: Other.
Next Generation Sequencing For Quantitative Analysis Of Hepatic Transcriptomes In Response To Squalene in Swine model
GEO Series GSE214732. Sus scrofa. 8 samples. Type: Expression profiling by high throughput sequencing.
Real-time quantitative PCR analysis of microRNAs in a mice model of Neurogenic Heterotopic Ossifications (NHOs)
GEO Series GSE241333. Mus musculus; Rattus norvegicus. 8 samples. Type: Other.
Next Generation Sequencing Facilitates Quantitative Analysis of SPS and Control Rats Model
GEO Series GSE153081. Rattus norvegicus. 6 samples. Type: Expression profiling by high throughput sequencing.
Next Generation Sequencing Facilitates Quantitative Analysis of control and AOM+DSS mouse model Transcriptomes
GEO Series GSE127946. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Next Generation Sequencing Facilitates Quantitative Analysis of hepatic macrophages Transcriptomes in dnTGFβRII(TG) cholangitis model
GEO Series GSE186712. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Quantitative Modeling of the Short-Term Response to Nitrogen Availability that Coordinates Early Events in Lateral Root Initiation
GEO Series GSE283555. Arabidopsis thaliana. 36 samples. Type: Expression profiling by high throughput sequencing.
Next Generation Sequencing Facilitates Quantitative Analysis of mRNA expression prolifes in placentas from wild Type,early-onset and later-onset PE mouse models
GEO Series GSE168702. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
Laser fixed-point timing and quantitatively induce venous thrombosis in zebrafish as a general model system to address the essential initial inflammation cytokines
GEO Series GSE309638. Danio rerio. 15 samples. Type: Expression profiling by high throughput sequencing.
Next Generation Sequencing Facilitates Quantitative Analysis of s.c. tumors from nude mouse allografted by R728T1 (non-SMCs derived from Rb/P53 mouse model) with and without Taz knockdown
GEO Series GSE84741. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
Next Generation Sequencing Facilitates Quantitative Analysis of ALDH+ E-BCSC, CD24-CD44+ M-BCSC and Bulk tumor cell Transcriptomes from MC1 and Vari068 PDX models of TNBC
GEO Series GSE115302. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
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.