nloaded simultaneously with quality download speed). When connection drops, simultaneous connection was re-established using the ftp software, and drive test was carried out within a planned cluster on a bright and sunny day. Statistical descriptions and probability distribution functions of the KPI data is reported and interdependence amongst the KPIs are presented to ease understanding of the interrelationships among the tested KPIs. The data reported would find useful applications in RF planning, radio channel measurements and modelling, feasibility studies and formulation of appropriate regulatory policies for wireless communication systems. Network operators could leverage on the data for appropriate KPI analyses, radio resources management, and research and development. © 2020 The Author(s).This dataset belongs to a large-scale randomized controlled trial (RCT) in educational research targeting English learning students and their teachers’ instructional capacity. The dataset includes ratings conducted through classroom observations of 45-minute English as a Second language (ESL) blocks. Each coder rated 60 recorded video segments collected from each teacher. During the 20-second segment, ratings of six domains of teachers’ instruction (i.e., ESL Strategies, Group, Activity Structure, Mode, Language Content, Language of Teacher, Language of Student) were collected. The dataset is organized by teacher, by coder, and by domain, for researchers to analyze inter-rater reliability among coders by domain and/or cross-domain. This data article is related to the research article Tong et al. [3] on „The determination of appropriate coefficient indices for inter-rater reliability using classroom observation instruments as fidelity measures in large-scale randomized research”. © 2020 The Authors. Published by Elsevier Inc.With the advent of deep convolutional neural networks, machines now rival humans in terms of object categorization. The neural networks solve categorization with a hierarchical organization that shares a striking resemblance to their biological counterpart, leading to their status as a standard model of object recognition in biological vision. Despite training on thousands of images of object categories, however, machine-learning networks are poorer generalizers, often fooled by adversarial images with very simple image manipulations that humans easily distinguish as a false image. Humans, on the other hand, can generalize object classes from very few samples. Here we provide a dataset of novel object classifications in humans. We gathered thousands of crowd-sourced human responses to novel objects embedded either with 1 or 16 context sample(s). Human decisions and stimuli together have the potential to be re-used (1) as a tool to better understand the nature of the gap in category learning from few samples between human and machine, and (2) as a benchmark of generalization across machine learning networks. © 2020 The Author(s).Birds have often been recognised as the first informants of climatic change in our environment. Bird species recognition has assumed great significance not just for checking the survival of birds but also as an early warning signal of the declining health of earth and its climate. Earlier researchers have established recognition of bird species based on sounds from repository available online which were region-specific. In this article, we have presented the spike-based bird species recognition model, which deals with the process of identifying the bird species based on their vocalization or call. The dataset comprises of 14 bird species vocalizations. These recordings have been taken in their natural environment. The calls were recorded using a digital recorder and a unidirectional microphone at Central Poultry Development Organization (CPDO), Eastern Region, Bhubaneswar, India. The interpretation of this data provided in this article is associated with the research article titled „Automatic Bird Species Recognition System using Neural Network based on Spike” [1]. © 2020 The Authors.This article describes the data generated from multiple approach methodology physico-chemical characterization of a clay mineral from the West-Central region of Morocco, Safi province (https//doi.org/10.1016/j.heliyon.2019.e02281) [1]. cis-diamminedichloroplatinum II Data were generated from classical chemical analytical techniques namely; organic matter content, linear firing and shrinkage analysis, weight loss on ignition, porosity and methylene blue stain tests according to the French Association of Normalization (AFNOR) and American Society for Testing and Materials (ASTM). In addition to data generated using instrumental analytical techniques namely; Infrared spectroscopy (FTIR), thermal gravimetric analysis (TGA) and deferential thermal analysis (DTA), X-ray diffraction (XRD), scanning electron microscopy (SEM) and elemental energy disperse spectroscopy (EDX). © 2020 The Authors.Colombia holds one of the most spectacular biodiversity of the world. Yet, vast aspects of this biodiversity are still poorly inventoried. One of the least known aspects of Colombia’s biodiversity is the sound produced by its animals, even for the most conspicuous ones, the vertebrates. Here we reviewed and compiled the sound records available for the Department of Santander, a region in the North-East of Colombia, gathering the sound records of birds, anurans, mammals, and fishes. By conducting a detailed review in the environmental sound collection of the Humboldt Institute, the Macaulay Library of the Cornell Lab of Ornithology and Xeno-canto platform of the Naturalis Biodiversity Center, we present the first dataset of vertebrate sounds information from the Santander department. We selected recordings with a taxonomic resolution up to species and complete metadata information. Using latitude and longitude information, we assigned each recording to one of the six biotic units reported for Santander. link2 We found a total of 1499 recordings, which belong to six biotic units Guane-Yariguíes (597), Middle Magdalena Valley and Mompox Depression (484), High Andes Eastern Cordillera (167), Nechí-San Lucas (150), Middle Magdalena Eastern Cordillera (95), Catatumbo (6). This dataset can have a wide scope of applications, from basic scientific questions, to analyses made by decision makers regarding conservation strategies, to support biodiversity-based economies such as ecotourism. © 2020 Published by Elsevier Inc.In enteric bacteria, DNA supercoiling is highly responsive to environmental conditions. Host specific features of environment serve as cues for the expression of genes required for colonization of host niches via changing supercoiling [1]. It has been shown that substitution at position 87 of GyrA of Salmonella enterica str. SL1344 influences global supercoiling and results in an altered transcriptome with increased expression of stress response pathways [2]. Aminocoumarin antibiotics, such as novobiocin, can be used to relax supercoiling and alter the expression of supercoiling-sensitive genes. Meanwhile, Salmonella enterica demonstrates a significant resistance to this antibiotic and relatively small variability of supercoiling in response to the growth phase, osmotic pressure, and novobiocin treatment. Here we present for the first time transcriptome data of Salmonella enterica subsp. Enterica serovar Typhimurium str. 14028S grown in the presence of novobiocin. These data will help identify genes involved in novobiocin resistance and adaptation processes associated with torsion perturbations in S. enterica. Cleaned FASTQ files for the RNA-seq libraries are deposited in the NCBI Sequence Read Archive (SRA, Identifier SRP239815) and have been assigned BioProject accession PRJNA599397. © 2020 The Authors.The data described here supports a part of the research article „Effect of 4‑HNE Modification on ZU5-ANK Domain and the Formation of Their Complex with β‑Spectrin A Molecular Dynamics Simulation Study” [1]. Dataset on Gaff force field parameters of AMBER is provided for the non-standard arginine resulting of reaction with 4-hydroxy-2-nonenal (4-HNE), the major secondary product of lipids peroxidation. Arg-HNE 2-pentilpyrrole adduct is part of the 4-hydroxyalkenals described in various physiopathological disorders related to increased oxidative stress. Data include a framework for derivation of missing bonds, angles and dihedral parameters for modified arginine, alongside optimized partial charges derived with Restrained Electrostatic Potential (RESP) method and the new force field parameters obtained by quantum mechanicals methods (QM) using Hartree-Fock (HF)/6 – 31G** level of theory. Benchmark as a graphics tutorial summary steps to obtained new parameters and the validation of non-standard amino acids is presented. The new residue constructed is put available to the scientific community to perform molecular dynamics simulations of modified 4-HNE proteins on arginine residue and complete the set of data parameters for nucleophilic residues with this reactive aldehyde ADDIN EN.CITE ADDIN EN.CITE.DATA [2]. Data that could be used for the researchers interested in the role of protein oxidation as mediator in cellular pathophysiological. © 2020 The Authors.The data presented in this article are related to the research article entitled „Mountain pine beetle outbreak duration and pine mortality depend on direct control effort” [1]. This article provides presence of mountain pine beetle infested trees detected by the Saskatchewan Forest Service on a grid covering the spatial extent of the Saskatchewan portion of the Cypress Hills interprovincial park between 2006 and 2018. For each grid cell, associated ecological and environmental covariates, such as topography, weather and vegetation, are also provided. These data cover the spatio-temporal extent of an almost entire mountain pine beetle outbreak and contribute to the understanding of mountain pine beetle outbreak dynamics. © 2020 The Authors.Chromium (Cr) is a widely used metal in metallurgical and chemical industries, whose waste contaminates the surface and groundwater. Cr (VI) is toxic and produces carcinogenic effects owing to its high mobility in water and soil. In this work, computational and experimental studies from the adsorption of Cr(VI) from aqueous solutions on teak wood residues activated with ZnCl2 (AT) are presented. Full interpretation of data can be found in DOI10.1016/j.jece.2020.103702 [1]. Experimental data were adjusted to Langmuir, Freundlich and Temkin isothermal models and the nonlinear and linear forms of the Pseudo-first and Pseudo-second order kinetic models. Computational data allow to understand the adsorption process of Cr(VI) on carbonaceous materials. © 2020 The Author(s).This paper provides additional negative data regarding the paper Evaluation of thermal properties of thin films by IR radiometry using a comprehensive set of Zr-O-N thin films [1]. In that paper, a matrix of samples was prepared to evaluate the so-called Extremum method for the analysis of Infrared (IR) radiometry data. Such matrix was composed by 3 types of films with 4 different thickness in 3 types of substrates, totalizing 36 samples in total. The data of this paper can be divided into three separate categories i) lack of adhesion of the films deposited on Teflon, simultaneously to the films deposited on other substrates. ii) Improvement of the signal and signal-to-noise ratio on samples that did not present an extremum (minimum or maximum) using the initial (more conventional) way of measurement. iii) It is also presented a failed fitting of the IR radiometry data created with entangled material parameters. link3 All this data is relevant for researchers devoted to measurement of thermal properties of thin films by IR radiometry that employ the two layer model and Extremum Method.