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251
datasets available to search
ShareScore release 0.9.0
Dataset results
251 results for “Electrolyte”
Effect of Adding Glycerol to Electrolyte Beverages on Fluid Balance in Healthy Euhydrated Men and Women at Rest
ClinicalTrials.gov study NCT06654557. IPD Sharing: NO. Countries: 1. Publications: 0.
Pico-Salax Colonic Preparation Study: Quantifying Electrolyte and Volume Status Changes
ClinicalTrials.gov study NCT00885430. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Fluid-electrolyte homeostasis requires histone deacetylase function
GEO Series GSE148354. Mus musculus. 4 samples. Type: Expression profiling by high throughput sequencing.
FAM111A is dispensable for electrolyte homeostasis in mice
GEO Series GSE196466. Mus musculus. 7 samples. Type: Expression profiling by high throughput sequencing.
The cardioprotective effect of electrolyte solution Ringerfundin and a possible underlying mechanism
GEO Series GSE245917. Mus musculus. 9 samples. Type: Expression profiling by high throughput sequencing.
Electrolyte and Metabolite Composition of Cystic Fluid from a rat model of ARPKD
GEO Series GSE261500. Rattus norvegicus. 10 samples. Type: Expression profiling by high throughput sequencing.
Predictive models for the phase behaviour and solution properties of weak electrolytes: nitric, sulphuric and nitric acids
<p>All computational data for figures presented in the publication. </p>
Development of intermolecular potential models for electrolyte solutions using an electrolyte SAFT-VR Mie equation of state
<p>All computational data presented in the figures of the publication.</p>
Improved Vanadium Flow Battery Performance through a Pulsating Electrolyte Flow Regime
<p><span>The folder contains the processed data of figures 1, 2, 3, 4, S. 7, S. 8, S. 9 and S. 10 that appear in: </span></p> <p><span>R. De Wolf, A. Rossen, M. De Rop, L.F. Arenas, T. Breugelmans, J. Hereijgers, Improved Vanadium Flow Battery Performance through a Pulsating Electrolyte Flow Regime, Batter. Supercaps. 01 (2023) 1–23.</span></p> <p><span><a href="https://doi.org/10.1002/batt.202300382">https://doi.org/10.1002/batt.202300382</a></span></p>
Dataset for article "Water activity: the key to unlocking high-voltage aqueous electrolytes?"
Open the record for dataset details and reuse information.
The Effect of Irrigation Solution Volume on Electrolytes and Acid-Base Balance
ClinicalTrials.gov study NCT01246609. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Electrolytes Disturbance in Infant
ClinicalTrials.gov study NCT07152951. IPD Sharing: NO. Countries: 0. Publications: 0.
An EFS Assessing the Electrolytic eCLIPs System for Treatment of Intracranial Aneurysms
ClinicalTrials.gov study NCT04886505. IPD Sharing: NO. Countries: 0. Publications: 0.
24-hour Urinary Electrolyte Excretion in Chronic Kidney Disease
ClinicalTrials.gov study NCT05550467. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Assessment of Electrolyte Values in the Intensive Care Unit:Comparison Between Arterial and Venous Blood Gas Analysis and Formal Laboratory Testing
ClinicalTrials.gov study NCT00256061. IPD Sharing: Not stated. Countries: 0. Publications: 0.
the Effect of Virtual Reality Exercise on Selected Electrolytes Levels in Intradialytic Patients
ClinicalTrials.gov study NCT07316725. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Adjunctive Benefit of Electrolytic Cleaning on Non-surgical Treatment of Peri-implantitis.
ClinicalTrials.gov study NCT05179746. IPD Sharing: NO. Countries: 0. Publications: 0.
Accelerated Aging in Electrolytic Capacitors for Prognostics
The focus of this work is the analysis of different degradation phenomena based on thermal overstress and electrical overstress accelerated aging systems and the use of accelerated aging techniques for prognostics algorithm development. Results on thermal overstress and electrical overstress experiments are presented. In addition, preliminary results toward the development of physics-based degradation models are presented focusing on the electrolyte evaporation failure mechanism. An empirical degradation model based on percentage capacitance loss under electrical overstress is presented and used in: (i) a Bayesian-based implementation of model-based prognostics using a discrete Kalman filter for health state estimation, and (ii) a dynamic system representation of the degradation model for forecasting and remaining useful life (RUL) estimation. A leave-one-out validation methodology is used to assess the validity of the methodology under the small sample size constrain. The results observed on the RUL estimation are consistent through the validation tests comparing relative accuracy and prediction error. It has been observed that the inaccuracy of the model to represent the change in degradation behavior observed at the end of the test data is consistent throughout the validation tests, indicating the need of a more detailed degradation model or the use of an algorithm that could estimate model parameters on-line. Based on the observed degradation process under different stress intensity with rest periods, the need for more sophisticated degradation models is further supported. The current degradation model does not represent the capacitance recovery over rest periods following an accelerated aging stress period.
Prognostics Health Management and Physics based failure Models for Electrolytic Capacitors
This paper proposes first principles based modeling and prognostics approach for electrolytic capacitors. Electrolytic capacitors and MOSFETs are the two major components, which cause degradations and failures in DC-DC converters. This type of capacitors are known for its low reliability and frequent breakdown on critical systems like power supplies of avionics equipment and electrical drivers of electro-mechanical actuators. Some of the more prevalent fault effects, such as a ripple voltage surge at the power supply output can cause glitches in the GPS position and velocity output, and this, in turn, if not corrected will propagate and distort the navigation solution. Prognostics provides a way to assess remaining useful life of a capacitor based on its current state of health and its anticipated future usage and operational conditions. In this paper, we study the effects of accelerated aging due to thermal stress on sets of capacitors. Our focus is on deriving rst principles degradation models for thermal stress conditions. The degradation data form the basis for developing the model based remaining life prediction algorithm. Our overall goal is to derive accurate models of capacitor degradation, and use them to predict performance changes in DC-DC converters.
Physics Based Electrolytic Capacitor Degradation Models for Prognostic Studies under Thermal Overstress
Electrolytic capacitors are used in several applications rang- ing from power supplies on safety critical avionics equipment to power drivers for electro-mechanical actuators. This makes them good candidates for prognostics and health management research. Prognostics provides a way to assess remaining use- ful life of components or systems based on their current state of health and their anticipated future use and operational con- ditions. Past experiences show that capacitors tend to degrade and fail faster under high electrical and thermal stress condi- tions that they are often subjected to during operations. In this work, we study the effects of accelerated aging due to thermal stress on different sets of capacitors under different conditions. Our focus is on deriving first principles degra- dation models for thermal stress conditions. Data collected from simultaneous experiments are used to validate the de- sired models. Our overall goal is to derive accurate models of capacitor degradation, and use them to predict performance changes in DC-DC converters.
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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.
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DANDI Archive for NWB datasets
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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.