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/downstream navigation, manual/autonomous drive, and drone turning, that represent a ground truth for validation purposes. Finally, the real-world nature of the dataset makes it more challenging for machine learning methods because it contains noisy samples collected while the drone was exposed to atmospheric agents and uncertain water flow conditions. © 2020 The Author(s).Lignocellulosic biomass can provide a consistent and sustainable source of bioenergy. Degraded empty fruit bunch (DEFB) from oil palm is a suitable candidate for biofuels and biochemicals production by using alkaline ethylene glycol pretreatment and two-staged acid hydrolysis. This paper provided several important physical and chemical properties of treated DEFB after alkaline ethylene glycol pretreatment. The dataset for analysis methods which were used in two-staged acid hydrolysis for the determination of reducing sugars, phenolic compounds, furfural and hydroxymethyfurfural (HMF) in the acid hydrolysate was also provided. The key information and dataset provided in this article can be useful for researchers to determine the product compositions from lignocellulosic biomass after the pretreatment and acid hydrolysis processes in the future. © 2020 The Author(s).This dataset describes data obtained from a multi-day World Wide Web (WWW) measurement campaign distributed internationally across multiple Amazon Web Service (AWS) datacentres. The Chrome web browser was controlled by the Selenium framework to make repetitive requests to several popular websites; the resulting webobjects were captured by a proxy server and details about them stored in the provided SQLite3 databases. A Python script is provided to evaluate the webobjects with respect to their configured as well as their actual expiration times, as part of our more detailed analysis that we provide in [1]. Researchers and practitioners can readily employ this dataset in their own research endeavours with little efforts for avenues of inquiry beyond webobject expiration times we described in [1], as we provide additional information about each webobject and each website visit during the measurement campaign time horizon. © 2020 The Author(s).Previous literature has analysed the effects of establishment regressors on different measures of restaurant financial performance [1,2]. However, as [3] stated, these studies have focused on the analysis at establishment level rather than at corporate level. Determining the factors that explain the restaurant profitability is not only an important phenomenon for establishments but also for companies because they adapt their products, services and strategies to obtain additional benefits and cash flow [1]. Additionally, progressive globalization has forced companies to operate in countries with environments that differ from the companies' country of origin [4]. In this context, the dataset presented in this paper sought to contribute to the existing literature in two ways. First, it allows us to investigate the factors that determine the profitability of restaurant corporations using advanced measures of financial performance. click here Second, a multilevel experimental design may be helpful when understanding country heterogeneity in companies´ profitability. The dataset contains a sample of 860 restaurant corporations operating in 18 European countries. From each corporation in the sample 6 financial variables were collected, and from each country, 10 context variables associated with economic conditions and tourism environment were considered. Due to the lack of data that allow a global analysis of the factors that determine profitability in the restaurant industry, this dataset can play an important role for business management, which should control not only their financial ratios but also the macroeconomic conditions and tourism environment where the companies operate. © 2020 The Author(s).The authors have recently reported the enhanced thermal stability of silver nanowire (AgNW) network transparent electrodes by electrodeposition method [1]. AgNW networks are known to break into droplets at elevated temperatures (spherodization temperature) that are still much lower than the bulk Ag melting temperature. This phenomenon is known as Rayleigh instability. As the diameter of individual AgNW in the network increases by electrodeposited Ag on the AgNW surface, the thermal stability of AgNW network can be enhanced. Here, we provide the data on the spherodization temperature depending on AgNW diameter. We also report the calculated activation energy required to induce the spherodization of AgNW network. © 2020 The Author(s).Workers movements and their body mechanics during work, design of tools as well as work layout is important to fit the task to match differences between human capabilities. The data set examined 40 physically disabled workers from different areas and background in Jordan. It consists of anthropometric measurements that are categorized into 7 key measures namely weight, stature, hip height, knee height, elbow height, hand length and Elbow-fingertip length. Also, it includes information on the most parts that cause pain for the same participants using the discomfort questionnaire. The dataset supports the article " An integration of a QFD model with Fuzzy-ANP approach for determining the importance weights for engineering characteristics of the proposed wheelchair design"[1]. The obtained dataset can also be used to support an ergonomic and bio-mechanical evaluation performance of physically disabled workers as well as using it in conjunction with ISO standards for equipment design and safety. Moreover, This dataset is useful for optimizing the dimensions' design for the physically disabled workplace as well as preparing the House of Quality to prioritize the final design requirements. © 2020 The Author.In this data article, we present a dataset made up of personal, social and clinical records related to patients undergoing a rehabilitation program. Data refers to records registered in the "Acceptance/Discharge Report for the rehabilitation area" (ADR) which implements the Italian law (DGR 731/2005) and refer to hospitalization at the rehabilitation hospital of Rome "San Raffaele" in the years from 2015 to 2018 of patients suffering from orthopedic and neurological pathologies. For each ADR report, the clinical status of the patient at the date of acceptance and discharge is reported using, among other, the Barthel index as a measure of the Activities Daily Living of the patient. These data can be used to understand the influence of many different factors in the rehabilitation progress of clinical patients. © 2020 The Authors. Published by Elsevier Inc.