Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
89
datasets available to search
ShareScore release 0.9.0
Dataset results
89 results for “Experimental mechanics”
Experimental evolution of a hyperthermophilic archaeon on carbon monoxide enhanced hydrogen productivity through novel mechanisms associated with genome, transcriptome and epigenome changes
GEO Series GSE73031. Thermococcus onnurineus NA1. 7 samples. Type: Expression profiling by high throughput sequencing.
NRSF mediated epigenetic mechanisms of ion channel dysfunction in experimental temporal lobe epilepsy [Control vs. Kainate, scrambled ODNs]
GEO Series GSE22896. Rattus norvegicus. 7 samples. Type: Expression profiling by array.
An Investigation of the Anticancer Mechanism of Caesalpinia sappan L. Extract Against Colorectal Cancer by Integrating a Network Pharmacological Analysis and Experimental Validation
GEO Series GSE313097. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Mechanisms underlying the sparing of masticatory muscle function relative to biceps femoris muscle in an experimental critical illness model
GEO Series GSE24239. Sus scrofa. 18 samples. Type: Expression profiling by array.
Mechanisms of Action of Fu Fang Gang Liu Liquid in Treating Condyloma Acuminatum by Network Pharmacology and Experimental Validation
GEO Series GSE223380. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
NRSF mediated epigenetic mechanisms of ion channel dysfunction in experimental temporal lobe epilepsy [Control vs. Kainate, NRSE ODNs]
GEO Series GSE22894. Rattus norvegicus. 8 samples. Type: Expression profiling by array.
Data for Impact of nano-dopants on the mechanical and physical properties of magnesium oxychloride cement composites – experimental assessment
<p>The importance of the World’s reduction of CO2 emissions is inevitable as CO2 is one of the main contributors to climate change. As the Portland cement (PC) industry is a non-negligible contributor to the World’s CO2 emissions, a sustainable PC substitute must be implemented. Previous scientific studies suggest that magnesium oxychloride cement (MOC) – an eco-friendly binder based on reactive magnesia – could be a suitable alternative. This contribution studies the influence of various nanoadditives on the mechanical and physical properties of MOC-based composites. The nanoadditives introduced to the MOC composite were the following: multi-walled carbon nanotubes, oxidized multi‑walled carbon nanotubes, graphene oxide, graphene nanoplatelets, and alumina nanosheets. Ahead of the composite preparation, the nanoadditives were analysed with a wide spectrum of analytical methods to study their composition and microstructure in detail. The used amount of nanoadditive was 1.0 wt.%, relative to the cement paste weight. After a curing period of 28 days, the prepared composite samples underwent a comprehensive analysis of their microstructure, phase, and chemical composition, as well as micro- and macrostructural parameters and mechanical properties. Additionally, the research studied the effects of nanoadditives on the hygric properties and water resistance of the MOC composites after 24-h immersion in water. The findings revealed a noteworthy increase in mechanical performance with the addition of nano-dopants. The highest compressive strength of 85.4 MPa was obtained for the MOC composite enriched with the addition of oxidized multi-walled carbon nanotubes. MOC doped with alumina nanosheets exhibited the best flexural strength (20.99 MPa) and dynamic modulus of elasticity (38.85 GPa). The resistance of MOC composites to deterioration in water was also improved by all the nanoadditives investigated. The softening coefficient determined for samples immersed in water for 24 h varied from 62.7 to 74.8. The best resistance to water degradation was obtained for MOC with alumina nanoadditive, which showed a softening coefficient value about 23.2% higher than that of the reference sample. Thus, the incorporation of nanomaterials as functional nanoadditives in MOC-based composites shows promising advances in both mechanical properties and water resistance, contributing to the development of environmentally sustainable building materials.</p>
Data Set_Exploring the Molecular Mechanisms of Endothelial Dysfunction Affecting Myocardial Infarction by Integrating Multiple Datasets with In Vivo Experimental Validation
Open the record for dataset details and reuse information.
Data set for "Experimental investigation and constitutive description of mechanical anisotropy in soft, porous rocks"
<p>Experimental results</p>
Experimental data of "Nanoconfinement geometry of pillared V2O5 determines electrochemical ion intercalation mechanism, storage sites, and diffusion pathway"
<p>Improving electrochemical ion intercalation capacity and kinetics in layered host materials is a critical challenge to further develop lithium-ion batteries, as well as emerging cell chemistries based on ions beyond lithium. Modification of the nanoconfined interlayer space within host materials by synthetic pillaring approaches has emerged as a promising strategy, however, the resulting structural properties of host materials, host-pillar interaction, as well as evolving structure-functionality relations remain poorly understood. Herein, a series of bilayered V2O5 host materials pillared with alkyldiamine molecules of different lengths is systematically studied, resulting in tunable nanoconfinement geometry with interlayer spacings in the range of 1.0-1.9 nm. The electrochemical Li+ intercalation capacity is increased from approx. 1 to 1.5 Li+ per V2O5 in expanded host materials, and the intercalation kinetics improve with larger expansion. Operando X-ray diffraction reveals a transition of the charge storage mechanism from solid-solution Li+ intercalation in V2O5 hosts with small and medium interlayer spacings, to cointercalation of Li+ and solvent in V2O5 with the largest interlayer spacing. Density functional theory reveals a transition in Li+ diffusion pathways from 1D to 2D diffusional networks for expanded interlayers. The work reveals the impact of nanoconfinement geometry within bilayered V2O5 on the resulting Li+ intercalation properties, providing insights into both the microstructure and related functionality of pillared materials.</p>
NRSF mediated epigenetic mechanisms of ion channel dysfunction in experimental temporal lobe epilepsy [Kainate, NRSE ODNs vs. Kainate, scrambled ODNs]
GEO Series GSE22897. Rattus norvegicus. 7 samples. Type: Expression profiling by array.
NRSF mediated epigenetic mechanisms of ion channel dysfunction in experimental temporal lobe epilepsy
GEO Series GSE22899. Rattus norvegicus. 22 samples. Type: Expression profiling by array.
Regulation effect and mechanism of Sheng-Hua-Tang on female reproductive system: from experimental transcriptomic analysis to clinical applications
GEO Series GSE135608. Mus musculus. 6 samples. Type: Expression profiling by array.
Neuroendocrine Mechanisms in Adiposity: An Integrated Approach to the Characterization of Potential Pharmacological Novel Targets Based on Experimental and Clinical Models
ClinicalTrials.gov study NCT06326853. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Experimental and Analytical Development of a Health Management System for Electro-Mechanical Actuators
Expanded deployment of Electro-Mechanical Actuators (EMAs) in critical applications has created much interest in EMA Prognostic Health Management (PHM), a key enabling technology of Condition Based Maintenance (CBM). As such, Impact Technologies, LLC is collaborating with the NASA Ames Research Center to perform a number of research efforts in support of NASA’s Integrated Vehicle Health Management (IVHM) initiatives. These efforts have combined experimental test stand development, laboratory seeded fault testing, and physical model-based health monitoring in a comprehensive PHM system development strategy. This paper discusses two closely related EMA research programs being conducted by Impact and NASA Ames. The first of these efforts resulted in the creation of an electro-mechanical actuator test stand for the Prognostics Center of Excellence at the NASA Ames Research Center. The second effort is ongoing and is utilizing physics-based modeling techniques to develop an algorithm and software package toolset for PHM of aircraft EMA systems using a hybrid (virtual sensor) approach.
Experimental Data Collection and Modeling for Nominal and Fault Conditions on Electro-Mechanical Actuators
Being relatively new to the field, electromechanical actuators in aerospace applications lack the knowledge base compared to ones accumulated for the other actuator types, especially when it comes to fault detection and characterization. Lack of health monitoring data from fielded systems and prohibitive costs of carrying out real flight tests push for the need of building system models and designing affordable but realistic experimental setups. This paper presents our approach to accomplish a comprehensive test environment equipped with fault injection and data collection capabilities. Efforts also include development of multiple models for EMA operations, both in nominal and fault conditions that can be used along with measurement data to generate effective diagnostic and prognostic estimates. A detailed description has been provided about how various failure modes are inserted in the test environment and corresponding data is collected to verify the physics based models under these failure modes that have been developed in parallel. A design of experiment study has been included to outline the details of experimental data collection. Furthermore, some ideas about how experimental results can be extended to real flight environments through actual flight tests and using real flight data have been presented. Finally, the roadmap leading from this effort towards developing successful prognostic algorithms for electromechanical actuators is discussed.*
Experimental Validation of a Prognostic Health Management System for Electro-Mechanical Actuators
The work described herein is aimed to advance prognostic health management solutions for electro-mechanical actuators and, thus, increase their reliability and attractiveness to designers of the next generation aircraft and spacecraft. In pursuit of this goal the team adopted a systematic approach by starting with EMA FMECA reviews, consultations with EMA manufacturers, and extensive literature reviews of previous efforts. Based on the acquired knowledge, nominal/off-nominal physics models and prognostic health management algorithms were developed. In order to aid with development of the algorithms and validate them on realistic data, a testbed capable of supporting experiments in both laboratory and flight environment was developed. Test actuators with architectures similar to potential flight-certified units were obtained for the purposes of testing and realistic fault injection methods were designed. Several hundred fault scenarios were created, using permutations of position and load profiles, as well as fault severity levels. The diagnostic system was tested extensively on these scenarios, with the test results demonstrating high accuracy and low numbers of false positive and false negative diagnoses. The prognostic system was utilized to track fault progression in some of the fault scenarios, predicting the remaining useful life of the actuator. A series of run-to-failure experiments were conducted to validate its performance, with the resulting error in predicting time to failure generally lesser than 10% error. While a more robust validation procedure would require dozens more experiments executed under the same conditions (and, consequently, more test articles destroyed), the current results already demonstrate the potential for predicting fault progression in this type of devices. More prognostic experiments are planned for the next phase of this work, including investigation and comparison of other prognostic algorithms (such as various types of Particle Filter and GPR), addition of new fault types, and execution of prognostic experiments in flight environment.
Experimental and Computational Insights into the Mechanism that CHRONO Regulates the Circadian Clock
GEO Series GSE237793. Homo sapiens. 16 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Comprehensive multi-omics analyses elucidate the mechanism of male sexual dysfunction induced by chronic prostatitis/chronic pelvic pain syndrome in the experimental autoimmune prostatitis rat model
GEO Series GSE315564. Rattus norvegicus. 6 samples. Type: Expression profiling by high throughput sequencing.
Multiomics coupled with vibrational spectroscopy identify early mechanisms of experimental aortic valve stenosis [RNA]
GEO Series GSE267949. Oryctolagus cuniculus. 27 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.