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156
datasets available to search
ShareScore release 0.9.0
Dataset results
156 results for “explorative modeling”
Exploration of the Predictive Marker and Establishment of Predictive Models of Checkpoint Inhibitor Pneumonitis
ClinicalTrials.gov study NCT04734067. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Exploring the Knowledge, Attitudes, Behaviors and Perceived Barriers of Hepatologists Towards Non-invasive Hepatocellular Carcinoma Prediction Models in Hepatitis C Patients Who Achieved Sustained Vir
ClinicalTrials.gov study NCT06872047. IPD Sharing: Not stated. Countries: 0. Publications: 0.
To Explore the Functional Connectivity Pattern of Cortical Swallowing Network in the Oral Phase of Post-stroke Dysphagia Based on Dynamic Causal Modelling
ClinicalTrials.gov study NCT06564688. IPD Sharing: NO. Countries: 0. Publications: 0.
Exploration of Management Model and Intervention Research on Fear of Cancer Recurrence
ClinicalTrials.gov study NCT05922423. IPD Sharing: YES. Countries: 0. Publications: 0.
Exploring the Model Design Space for Battery Health Management
Battery Health Management (BHM) is a core enabling technology for the success and widespread adoption of the emerging electric vehicles of today. Although battery chemistries have been studied in detail in literature, an accurate run-time battery life prediction algorithm has eluded us. Current reliability-based techniques are insufficient to manage the use of such batteries when they are an active power source with frequently varying loads in uncertain environments. The amount of usable charge of a battery for a given discharge profile is not only dependent on the starting state-of-charge (SOC), but also other factors like battery health and the discharge or load profile imposed. This paper presents a Particle Filter (PF) based BHM framework with plug-and-play modules for battery models and uncertainty management. The batteries are modeled at three different levels of granularity with associated uncertainty distributions, encoding the basic electrochemical processes of a Lithium-polymer battery. The effects of different choices in the model design space are explored in the context of prediction performance in an electric unmanned aerial vehicle (UAV) application with emulated flight profiles.
NASA 3D Models: Advanced Composition Explorer (ACE)
Advanced Composition Explorer (ACE) observes particles of solar, interplanetary, interstellar, and galactic origins.
Exploring and Validating the Marmoset as a Primate Model for Chromosomal Instability in Early Development
GEO Series GSE283673. Callithrix jacchus. 8 samples. Type: Expression profiling by high throughput sequencing.
Exploring the Differential Host Responses to DSS and UC-Derived Microbiota in a Mouse Model of Colitis
GEO Series GSE305760. Mus musculus. 14 samples. Type: Expression profiling by high throughput sequencing.
Exploring the Impact of the Output Format on the Evaluation of Large Language Models for Code Translation
<p>Please find the most up to date version of the dataset at<br>https://github.com/RISElabQueens/forge24-code-translation</p> <p> </p> <p>Thank you</p>
Exploring the Influence of GenAI-based Tools on Student's Planning and Decision Making in Software Modeling
<p>The file describes our sample modelling problem used for the controlled experiment with students. Also, the file contains two sets of initial questions for students to use to interact with their respective product owners and domain experts. </p>
High-throughput explorations of Drosophila models of AKT1 variants associated with juvenile ovarian granula cell tumors provide insights into their pathogenesis mechanisms.
GEO Series GSE251846. Drosophila melanogaster. 6 samples. Type: Expression profiling by high throughput sequencing.
Exploring the anti-breast cancer effects of Thai traditional formulary medicine (TTFM) extracts using gut microbiota and gene expression profiles in CLDX mouse models
GEO Series GSE282235. Mus musculus. 6 samples. Type: Expression profiling by array.
Single-cell RNA sequencing explores the mechanisms underlying the protective effects of myeloid cell-specific Pkm gene knockout in ALF-modeling mice
GEO Series GSE254497. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
data: Exploring neural field theory: Modeling consciousness states and criticality in the brain
Open the record for dataset details and reuse information.
Exploration of the genes affecting the compound acting against emphysema development in a mouse model of elastase-induced emphysema.
GEO Series GSE85962. Mus musculus. 5 samples. Type: Expression profiling by array.
Evaluation of therapeutic efficacy of Sodium thiosulfate in combating I/R injury in rat brain: Exploring its efficiency further in vascular calcified brain slice model
<p>Cerebral ischemia reperfusion injury (CIR) is one of the clinical manifestations encountered during the management of stroke. High prevalence of intracranial arterial calcification is reported in stroke patients. However, the impact of vascular calcification (VC) in the outcome of CIR and therapeutic interventions remains unclear. Two different experimental models namely carotid artery occlusion and brain slice models were used to evaluate the efficacy of STS in male Wistar rats. IR was inflicted in rat by occluding carotid artery for 30 minutes followed by 24 hr reperfusion after STS (100 mg/kg) administration. Brain slice model was used to reconfirm the results to account blood brain barrier permeability. Further, brain slice tissue was utilised to evaluate the efficacy of STS in VC rat brain by measuring the histological alterations and biochemical parameters.</p> <p> </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.