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These experimental records can be exploited by researchers employing Raman and Brillouin imaging to discuss the resolution limit of the techniques and to compare the effect of different experimental set-ups. Moreover, thanks to their high spectral resolution they can be useful to researchers working on acoustic phonon transport at interfaces to model the dependency of transmission of long wavelength phonons on the acoustic mismatch.The data presented here is related to the research article titled "Evicting the poor in the 'overriding public interest' Crisis of rights and interests, and contestations in Nigerian cities" [1]. This data brief presents relevant national and sub-national data on patterns, trends, and impacts of reported urban infrastructure-related displacements in Nigeria between 2010 and 2016. The data of reported cases of displacements in Nigeria are presented in tabular matrix. On the horizontal side are nested rows designated as the six geopolitical zones (South East, South South, South West, North Central, North East, and North West), 36 States of the country, and Abuja Federal Capital Territory. It was also necessary to identify particular local government areas where displacements occurred or were imminent (case locations). On the vertical side, 14 columns itemized diverse variables such as type of infrastructure project, as well as the mode/type, status, and mechanisms of displacement. Other columns include reasons given for displacement, project funder/initiator, number of project affected persons (PAPs), reported social characteristics of PAPs, response of PAPs, actions/outcomes, information sources and link, date(s) of reported displacement in addition to a section for notes. Besides chronicling urban infrastructure-related displacement cases in the period under review, this brief might equally serve as a benchmark for a prospective national displacement register. It will also function as a useful information resource not only for facilitating advocacy and research in built environment disciplines and civil rights campaigns, but also serve to conscientize policy makers and development practitioners on the cumulative cost implications of displacement. Further interpretive insights could be achieved through data mining and cross-tabulation.Activity cliffs (ACs) are defined as pairs of structurally similar or analogous active compounds with large potency differences [1]. As such, they provide important information for the exploration of structure-activity relationships (SARs) and chemical optimization. We have introduced a new category of ACs capturing minimal (single-atom) chemical modifications and identified more than 1500 of such ACs in compounds with activity against a variety of target proteins [2]. ACs with single-atom modifications (sam_ACs) include "atom-replacement ACs" (ar_ACs) that contain a single-atom replacement (N to C (N-C), O-C, N-O, or S-O) at a given position and "atom-walk ACs" (aw_ACs), in which two analogs are only distinguished by the position of a single heteroatom (non-carbon atom). For a number of sam_ACs, X-ray structures of complexes between AC targets and AC compounds were identified, which made it possible to explore the formation of sam_ACs on the basis of well-defined ligand-target interactions [2]. Our collection of sam_ACs including associated chemical and X-ray structure information, as described herein, is made freely available.Target detection in remote sensing has vital applications in mineral mapping, law enforcement, precision agriculture, strategic surveillance, etc. We present the acquisition of a first-of-its-kind high-resolution multi-platform (ground, airborne, and space-borne) remote sensing-based benchmark dataset for target detection studies. The dataset includes imagery acquired from terrestrial hyperspectral imager (THI), airborne hyperspectral sensor (AVIRIS-NG), and space-borne multi-spectral (Sentinel-2) sensor on 20th March 2018. Five engineered targets of different materials and colours were placed on different surface backgrounds. Besides, in-situ reflectance spectra of the targets were also acquired using a spectroradiometer for serving as a spectral reference source. [https://www.selleckchem.com/products/indy.html INDY inhibitor purchase] The airborne and space-borne imagery were processed to remove un-calibrated/noisy bands and were atmospherically corrected using a radiative transfer method based Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) model. The in-situ target reflectance spectra were resampled to spectrally match with airborne and space-borne imagery. Further, a target region of interest (ROI) was designated for each of the targets in both airborne and space-borne imagery using the known ground position of targets using a GPS device. This article provides a ground to space integrated target detection dataset, including ground positions ROI of the targets, point, and pixel-based in-situ target reference spectra, and the processed airborne and space-borne imagery to make the dataset ready for use. The data acquired in this experiment is an attempt to assess the potential of engineered material target detection in a multi-scale multi-platform view setup. The dataset is a valuable resource for testing and validation of target detection algorithms from various strategic and civilian application perspectives of remote sensing.The data obtained from banking sector of Pakistan aims to enhance the understanding of the Islamic Piety. A semi-structure questionnaire was used to collect data from banking staff in Pakistan. The variable of the dataset is Islamic Piety which comprises of two sub- constructs that is; Islamic spirituality (IS) and Islamic social responsibility (ISR). Mohsen (2007) questionnaire for Islamic Piety was use and collected data from 500 employees. These employees were affiliated with the top nine credit rated banks of Pakistan in the federal and provincial capitals of the country. The data collected from the survey contributes itself to quantitative analysis using both descriptive as well as inferential statistics both of which are needed to respond to the research questions. The two sub-constructs are established based on the data.