Dataset Information

Dataset on the relation of synthetic super para magnetic nanoparticles coated with various electric charges and fibrillation of albumin protein.

ABSTRACT: The data provided in this article are related to the research article entitled "Effect of Super Magnetic Nanoparticles Coated with Various Electric Charges on ?-Synuclein Protein Fibrillation Process" (Javdani et al.). This article describes how electrically different charged and concentrated iron oxide nanoparticles synthesized using reverse co-precipitation method affects the fibrillation of albumin protein.

SUBMITTER: Javdani N

PROVIDER: S-EPMC6260359 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Dataset on the relation of synthetic super para magnetic nanoparticles coated with various electric charges and fibrillation of albumin protein.

Javdani Negin N Rahpeyma Sayyed Shahryar SS Ghasemi Younes Y Raheb Jamshid J

Data in brief 20181103

The data provided in this article are related to the research article entitled "Effect of Super Magnetic Nanoparticles Coated with Various Electric Charges on α-Synuclein Protein Fibrillation Process" (Javdani et al.). This article describes how electrically different charged and concentrated iron oxide nanoparticles synthesized using reverse co-precipitation method affects the fibrillation of albumin protein. ...[more]

PMID: 30519606

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Project description:Background: The correct design of electric vehicle (EV) charging infrastructures is of fundamental importance to maximize the benefits for users and infrastructure managers. In addition, the analysis and management of recharges can help evaluate integration with auxiliary systems, such as renewable energy resources and storage systems. EV charging data analysis can highlight informative behaviours and patterns for charging infrastructure planning and management. Methods: We present the analysis of two datasets about the recorded energy and duration required to charge EVs in the cities of Barcelona (Spain) and Turku (Finland). In particular, we investigated hourly, daily and seasonal patterns in charge duration and energy delivered. Simulated scenarios for the power request at charging stations (CSs) were obtained using statistical parameters of the Barcelona dataset and non-parametric distributions of the arrivals. Monte Carlo simulations were used to test different scenarios of users' influx at the CSs, and determine the optimal size of an integrated renewable energy system (RES). Results: This study highlighted the difference between fast and slow charging users' habits by analysing the occupancy at the charging stations. Aside from the charge duration, which was shorter for fast charges, distinct features emerged in the hourly distribution of the requests depending on whether slow or fast charges are considered. The distributions were different in the two analysed datasets. The investigation of CS power fluxes showed that results for the investment on a RES could substantially vary when considering synthetic input load profiles obtained with different approaches. The influence of incentives on the initial RES cost were investigated. Conclusions: The novelty of this work lies in testing the impact of different approach to design synthetic profiles in the determination of the optimal size of a photovoltaic (PV) system installed at a charging infrastructure, using the economic criterion of the net present value (NPV).

Dataset Information

Dataset on the relation of synthetic super para magnetic nanoparticles coated with various electric charges and fibrillation of albumin protein.

Publications

Dataset on the relation of synthetic super para magnetic nanoparticles coated with various electric charges and fibrillation of albumin protein.

Similar Datasets

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