Data in Brief

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ISSN / EISSN : 23523409 / 23523409
Current Publisher: Elsevier BV (10.1016)
Total articles ≅ 4,932
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Tarquinio Mateus Magalhães, Victoria Norberto Cossa, Rosta Simão Mate
Published: 19 January 2020
Data in Brief; doi:10.1016/j.dib.2020.105154

Abstract:Mozambique is composed by the following forest types: Miombo, Mopane, Mecrusse and Mangrove. Data on basic wood density at different height levels, tree component dry-mass, and other dendrometric parameters (root collar diameter, diameter at breast height, crown height, crown diameter, live crown length, and stem volume) for eight species typical of Miombo (Afzelia quanzensis Welw., Millettia stuhlmannii Taub., Pterocarpus angolensis DC., Brachystegia spiciformis Benth., and Julbernardia globiflora (Benth.) Troupin), Mopane (Colophospermum mopane Kirk ex J. Léonard), Mecrusse (Androstachys johnsonii Prain), and Mangrove (Avicennia marina (Forssk.)) forests collected from five provinces (Maputo, Gaza, Inhambane, Sofala, and Manica) of Mozambique are presented in this article. Biomass data of Miombo, Mecrusse, and Mopane woodlands were collected destructively, whereas those of Mangrove forests were collected using non-destructive methods.
Martin Novak, Jan Chysky, Lukas Novak
Published: 15 January 2020
Data in Brief; doi:10.1016/j.dib.2020.105137

Abstract:This is a data set from long time testing of 18650 Lithium polymer batteries. It includes the following batteries: Samsung ICR18650-30B (2950 mAh), Joy NCR18650A300A (3000 mAh), GP 03624RC 3.6 V (3000 mAh) and EVC 200L06C (2000 mAh). For measurement, four batteries are connected in parallel and are charged and discharged with a controlled current of 1 A per battery. The current is controlled with a NI cRIO control system programmed in LabView. Battery current is measured with LEM LA 55-P current transducers; voltage is measured directly with the cRIO´s analog inputs. The data set contains measurement for between 1200 and 1940 full charging/discharging cycles. The data set can be reused to get information about the dependence of battery capacity vs. number of cycles. Temperature of the battery is measured, therefore the dependence of capacity on temperature can be found out as well.
Joshua P. Averett, Lesley R. Morris, Bryan A. Endress
Published: 7 January 2020
Data in Brief; doi:10.1016/j.dib.2019.105104

Abstract:The data and analyses presented here were collected at the Zumwalt Prairie Preserve (ZPP), northeastern Oregon. Vegetation composition was measured within 124 (1-ha) plots using the line point intercept method [1,2]. These data include vascular plant species abundance matrices at two different time periods, seven years apart (2008/2009 & 2015/2016); boxplots of species abundance (cover and frequency) change over time; Non-parametric Multiplicative Regression (NPMR) estimated abundance of Ventenata dubia, an invading non-native annual grass, in geographic and ordination (Non-metric Multidimensional Scaling ordination; NMS) space over time.
Christophe El-Nakhel, Antonio Pannico, Marios C. Kyriacou, Spyridon A. Petropoulos, Maria Giordano, Giuseppe Colla, Antonio Dario Troise, Paola Vitaglione, Stefania De Pascale, Youssef Rouphael
Published: 1 January 2020
Data in Brief; doi:10.1016/j.dib.2020.105135

Abstract:The data presented in this article were derived from dry and fresh soilless-grown butterhead lettuce (Lactuca sativa L. var. Capitata). Organic acids, total nitrogen, sulphate and total chlorophyll concentrations varied in response to cultivar (red or green butterhead Salanova) and to nutrient solution macrocation ratios (proportionally high of K, Ca or Mg). Kjeldahl, spectrophotometry and ion chromatography were the principal methods employed. Data of total nitrogen and sulphate concentrations contribute to the understanding of macrocation uptake by plants and may drive prospective relevant research. Organic acids are indicators of plant tolerance to stress, including nutrient deficiencies, and the variability of their concentrations provide insights to plant stress physiology. The data reported in this paper are related to the research article “The bioactive profile of lettuce produced in a closed soilless system as configured by combinatorial effects of genotype and macrocation supply composition”, authored by El-Nakhel et al. (2020) [1].
Giovanna Wolswijk, Behara Satyanarayana, Le Quang Dung, Yin Fui Siau, Ahmad Nazila Bin Ali, Ibrahim Sunkanmi Saliu, Muhammad Amir Bin Fisol, Cristina Gonnelli, Farid Dahdouh-Guebas
Published: 1 January 2020
Data in Brief; doi:10.1016/j.dib.2020.105134

Abstract:This paper presents the results of mercury analysis on 786 abiotic (surface sediments) and biotic (plant and animal tissues) samples collected from 10 sites at Matang Mangrove Forest Reserve in Peninsular Malaysia. Sediment samples were collected at the surface level from both river bank and forest understory. Whereas plant tissues obtained from Rhizophora apiculata Blume and Rhizophora mucronata L. consisted of leaves (in four stages namely young, mature, senescent and decomposing), bark and roots (divided into xylem, cortex and epidermis), the animal samples were represented by muscle tissue of the gastropod Cassidula aurisfelis Bruguière and the cockle Tegillarca granosa L.. The mercury concentration measurements were obtained through a cold vapor atomic absorption spectrometer. The core data have been analysed and interpreted in the paper “Distribution of mercury in sediments, plant and animal tissues in Matang Mangrove Forest Reserve, Malaysia” [1].
Ronaldo Nuesi, Ryan A. Gallo, Galina Dvoriantchikova, Daniel Pelaez, Sanjoy K. Bhattacharya
Published: 1 January 2020
Data in Brief; doi:10.1016/j.dib.2020.105147

Abstract:Traumatic optic neuropathy (TON) is the loss of vision secondary to trauma. Approximately two weeks after traumatic damage, diffuse retinal ganglion cell loss and axon degeneration of the optic nerve are exhibited [1]. Here we present the changes that occur in the optic nerve lipidome of two-month-old C57BL/6J mice following sonication-induced TON (SI-TON), which closely models the indirect clinical mechanism in TON. Optic nerves were harvested at three time points following injury: 1-day, 7-days, and 14-days for comparison with the control group (uninjured optic nerves from 2-month-old mice). The optic nerves were subjected to mass spectrometry and bioinformatic analysis using LipidSearch 4.1.3 and Metaboanalyst 4.0. This data pertains to the lipidome at each time point following indirect trauma to the optic nerve. The data presented here will augment investigation into the neurodegenerative process. The data is available at Metabolomics Workbench [http://www.metabolomics workbench.org (Project ID: PR000859)].
Dennis Ten Choon Yung, Rohana Jani, Ridza Azizi, Mat Naim Ramli, Yang Haidi, Ahmad Nizam Zainudin, Akmal Hadi Samsuddin, Noor Hashida Hashim, Mohd Noor Afiq Ramlee, Muhamad Aidil Zahidin, et al.
Published: 1 January 2020
Data in Brief; doi:10.1016/j.dib.2019.105082

Abstract:In this data article we present the determinations of the diet preference and growth of a pair of the giant panda, Ailuropoda melanoleuca (David, 1869) from Zoo Negara Malaysia. Once considered as endangered, the captive giant pandas were given with nine species of local bamboo in separate indoor enclosures. We recorded data between 25 May 2014 and 31 December 2016 and analyzed it based on food preference, the pattern toward food consumption and body weights using SPSS v25.0 (IBM, USA). Data on the bamboo preference, daily average bamboo provided and consumed, and factors predicting of body weight per individual are reported in this article. The data highlight correlation between panda growth (kg) to the part of bamboo consumed (kg) and exhibit the pattern of preferred part of food (i.e.: either the leaf, culm or shoots of bamboo variety) for panda consumptions. The food consumption toward the body weight was modelled using logistic regression analysis to help determine the pattern of food consumption and body weight of giant panda in the future and based on regression model 1, only consumed variable is significance to the model.
Omar.M.K. Mahasneh
Published: 1 January 2020
Data in Brief; doi:10.1016/j.dib.2020.105119

Abstract:The World Health Organization (WHO) revealed in 2015 that the percentage of smokers in Jordan is one of the highest in the world, reaching 70.2% among males and consequently ranking first in the Middle Eastern region and second in the world [2,3]. Cigarettes are the most widely abused substance among school students in Jordan. This poses severe health risks to the public. The WHO emphasizes that one of the most important public health goals related to smoking is to reduce its harmful effects on the individual as well as society and the prevention and treatment of injuries. This article explores the nature of smoking among school students, binge smoking, and the consequences of smoking. Secondary school students undergo developmental transitions, and this comes with debilitating effects such as the risky use of cigarettes, which adversely affects their health and educational achievements [4,7]. This article comprises data obtained from 1166 participants (ages 14–17 years) from selected schools in Jerash, near Amman, Jordan. For data collection, a youth questionnaire on underage smoking was utilized. The article presents information on the participants’ smoking demographic. Analyses of the data can provide insights into the reasons for the smoking habits of the youth, the negative effects of smoking on school students, strategies to reduce smoking consumption, level of consumption of daily smokers, health issues caused by smoking, the prevalence of smoking, the effect of smoker parents on stimulating their children, and common smoking areas. The data will be useful for institutions dealing with prevalent health problems in society as well as benefit future researchers.
Kai Zhang, Xi Jiang
Published: 1 January 2020
Data in Brief; doi:10.1016/j.dib.2020.105116

Abstract:The dataset presented in this article is related to the uncertainty quantification of fuel variability effect on high hydrogen content syngas combustion physicochemical properties. The 1D flame data included in this dataset are collected using PREMIX module available in Chemkin-Pro. Inputs to and outputs collected from the PREMIX module are generated and post-processed using UQTk-3.0.4, an open-access uncertainty quantification (UQ) toolkit developed at Sandia National Laboratories. The 1D flame data here refers to the calculation of flame speed, flame temperature, NO emission, etc. using three detailed chemical mechanisms: the GRI-Mech 3.0, the San Diego, and the NUI Galway Mechanism. The main analysis performed using UQTk-3.0.4 focuses on obtaining main and joint sensitivity effects (Sobol Indices) of uniformly distributed fuel uncertainty on 1D premixed physicochemical properties. Other parameters such as the resulted probability density function or fluctuation of these properties are also explored. This new and original dataset is suitable for further analyzing fuel variability effect on other significant flame controlling parameters such as Karlovitz number, flame thickness, etc. in the discipline of turbulent combustion simulation.
Cindy A. McKellar, Martin J. Puttkammer
Published: 1 January 2020
Data in Brief; doi:10.1016/j.dib.2020.105146

Abstract:This data article describes the Autshumato machine translation evaluation set. The evaluation set contains data that can be used to evaluate machine translation systems between any of the 11 official South African languages. The dataset is parallel with four reference translations available for each of the following languages: Afrikaans, English, isiNdebele, isiXhosa, isiZulu, Sepedi, Sesotho, Setswana, Siswati, Tshivenḓa and Xitsonga.