The data presented in this article are relevant to the research article, “Electrochemistry of Os bipyridyl and phenanthroline complexes, comparison with Ru and Fe” (van der Westhuizen, 2020). Cyclic voltammograms illustrating OsII/III oxidations of eight osmium(II) complexes are presented in this article. The data were obtained under similar experimental conditions, at scan rates with magnitudes ranging from 0.05 V.s-1 to 10.00 V.s-1, in acetonitrile as solvent and tetrabutylammonium hexafluorophosphate as supporting electrolyte. Potentials are reported versus the iron(II) redox couple in ferrocene.Methylmalonic acidemia is a rare inborn error of metabolism with severe clinical complications and poor outcome. The present data article is related to a proteomic investigation conducted on a HEK 293 cell line which has been genetically modified using CRISPR-CAS9 system to knockout the methylmalonyl-CoA mutase enzyme (MUT-KO). Thus, the generated cell model for methylmalonic acidemia was used for a proteomic comparison with respect to HEK 293 wild type cells performing a label-free quantification (LFQ) experiment. A comparison between FASP and S-Trap digestion methods was performed on protein extracts before to proceed with the proteomic analysis of the samples. Four biological replicates were employed for LC-MS/MS analysis and each was run in technical triplicates. MaxQuant and Perseus platforms were used to perform the LFQ of the proteomes and carry out statistical analysis, respectively. Globally, 4341 proteins were identified, and 243 as differentially regulated, of which 150 down-regulated and 93 up-regulated in the MUT-KO condition. MS proteomics data have been deposited to the ProteomeXchange Consortium with the dataset identifier PXD017977. The information provided in this dataset shed new light on the cellular mechanisms altered in this rare metabolic disorder, highlighting quantitative unbalances in proteins acting in cell structure and architecture organization and response to the stress. This article can be used as a new source of protein actors to be validated and a starting point for the identification of clinically relevant therapeutic targets.Data on growth performance, proximate composition and fatty acid content of Edible oysters (Crassostrea spp.) were collected to evaluate the spatial variation in growth performance, proximate composition and fatty acid content of oyster. The oyster was farmed on shellstring for 120 days in the three sites Nunia chara, Chowfoldandy and Sonadia Island. Oysters were marked into six different age classes T1 31-45 days; T2 46-60 days; T3 61-75 days; T4 76-90 days; T5 91-105 days and T6 106-120 days. Data on environmental variables were collected in every 15 days. Oysters were collected for physical measurements and biochemical analysis after 120 days. Data on growth performance showed spatial variation. Withal, data on proximate composition and fatty acid content were significantly different (p less then 0.05) among the three sites. This data could contribute in oyster aquaculture development.Areca is a genus comprising about 50 species endemic to the humid tropics. Arecanut (Areca catechu L.) is a commercially and economically important crop in South and Southeast Asia. In addition to its contribution to the agricultural economies of countries where the crop is grown, arecanut holds an important place in the religious, cultural, and social milieu of the rural folks. The nuts have been used since time immemorial in traditional Indian (Unani and Ayurveda) and Chinese herbal systems of medicine for the treatment of various disorders like rheumatism, parasitic infection, diseases of gastrointestinal tracts, and depression. selleck inhibitor Here, we report the complete chloroplast (cp) genome sequence of arecanut. The cp genome of A. catechu was a typical circular DNA molecule with a size of 158,689 bp in length. The genome possessed a typical quadripartite structure composed of a pair of inverted repeats (IRa and IRb) of 27,137 bp separated by a large single-copy (LSC) region of 86,814 bp and a small single-copy (SSC) region of 17,601 bp and a GC content of 37.3%. The cp genome of arecanut encodes a set of 133 genes, comprising 88 protein-coding genes, 37 tRNA genes, and eight rRNA genes; among these, 21 contained introns. A total of 70 SSR loci were detected, the majority being in inter-genic regions. Phylogenetic analysis revealed that A. catechu was closely related to A. vestiaria.Nowadays, advanced metal components with high geometrical complexity can be 3D printed by using the Selective Laser Melting (SLM) technology. Despite SLM resolution and accuracy are generally limited to some tenths of mm, it should be possible to produce finer and more precise details by applying lasers with a small spot diameter. However, to present date the data collected with small laser spot diameters are poor. In this work, experimental data describing the effects of laser power and scan speed on single track formation when applying a small laser spot diameter of 50 µm on Ti6Al4V powder are reported. SEM images and the extracted geometrical data characterizing the obtained single tracks are provided here, as well as their microstructural analysis and microhardness measurements.Phishing stands for a fraudulent process, where an attacker tries to obtain sensitive information from the victim. Usually, these kinds of attacks are done via emails, text messages, or websites. Phishing websites, which are nowadays in a considerable rise, have the same look as legitimate sites. However, their backend is designed to collect sensitive information that is inputted by the victim. Discovering and detecting phishing websites has recently also gained the machine learning community’s attention, which has built the models and performed classifications of phishing websites. This paper presents two dataset variations that consist of 58,645 and 88,647 websites labeled as legitimate or phishing and allow the researchers to train their classification models, build phishing detection systems, and mining association rules.Based on the Programme for International Student Assessment (PISA) 2015 dataset, the information and communication technology (ICT) dataset focuses specifically on ICT-related constructs in the context of educational technology. It includes a wide range of student-level variables collected from 30 Economic Co-operation and Development (OECD) countries, which pertain to students’ motivational and behavioural characteristics in relation to their ICT self-efficacy. In total, it comprises 201, 652 students from 7708 schools. As technology has become an integral component of education, the ICT dataset can serve as a handy resource for studying ICT-related constructs. Besides, the ICT dataset holds advantages over the original PISA dataset for its intensive focus and easy readability. With this important resource, researchers can undertake their own research in the neighbouring fields of ICT, developing their own theories or validating existing theoretical frameworks and statements. The focus of this study is to identify the antecedents of adolescent students’ ICT self-efficacy and illuminate potential mechanisms at work.