Showing papers in "Data in Brief in 2019"

TL;DR: The dataset holds citrus fruits and leaves images of healthy and infected plants with diseases such as Black spot, Canker, Scab, Greening, and Melanose and would potentially be helpful to researchers who use machine learning and computer vision algorithms to develop computer applications to help farmers in early detection of plant diseases.

TL;DR: Intention to use, interaction, engagement, motivations and satisfaction were five dynamics assessed in relation to the improvement of MOOCs.

TL;DR: The ICLabel dataset is comprised of training and test sets of a set of spatiotemporal features of electroencephalographic (EEG) independent components (IC) that were computed for over 200,000 EEG ICs from more than 6,000 existing EEG recordings.

TL;DR: The dataset described in this paper contains ship information collected through the AIS, prepared together with spatially and temporally correlated data characterising the vessels, the area where they navigate and the situation at sea, and is proposed for an easy integration with relational databases.

TL;DR: The DroneRF dataset is described: a radio frequency (RF) based dataset of drones functioning in different modes, including off, on and connected, hovering, flying, and video recording.

TL;DR: This data article describes the analysis of 56 MCDA (Multi-Criteria Decision Analysis) methods in regards to 9 decision-making problem characteristics structured into 3 levels and creates an exemplary decision support system based on the presented data.

TL;DR: A fully-labelled dataset of Arabic Sign Language (ArSL) images is developed for research related to sign language recognition and will provide researcher the opportunity to investigate and develop automated systems for the deaf and hard of hearing people using machine learning, computer vision and deep learning algorithms.

TL;DR: The morphological features of the samples exhibited a more densely packed microstructure at the highest sintering temperature (1100 °C) and the elemental composition as evaluated by EDX on a weight and atomic basis for all samples provided information on the calcium to phosphate transforms into apatite.

TL;DR: A large Single-labeled Arabic News Articles Dataset (SANAD) of textual data collected from three news portals that would make a great aid for a variety of NLP tasks on Modern Standard Arabic textual data, especially for single label text classification purposes.

TL;DR: A robusta coffee leaf images dataset called RoCoLe is introduced, which contains 1560 leaf images with visible red mites and spots (denoting coffee leaf rust presence) for infection cases and images without such structures for healthy cases.

TL;DR: The data presented in this article was used to validate automatic segmentation algorithms (Lang et al., 2013) and was independently reviewed and edited.

TL;DR: Data for the estimation of obesity levels in individuals from the countries of Mexico, Peru and Colombia, based on their eating habits and physical condition is presented to generate intelligent computational tools to identify the obesity level of an individual and to build recommender systems that monitor obesity levels.

TL;DR: The manuscript describes and visualizes datasets from the datasets package in the R statistical software, focusing on descriptive statistics and visualizations that provide insights into the clusterability of these datasets.

TL;DR: Investigation of the quality of surface water in Kalingarayan Canal for heavy metal pollution, Tamil Nadu found that the canal is affected by anthropogenic activities and industrialization in terms of heavy metals.

TL;DR: To evaluate the current state-of-the-art in formaldehyde research and to identify the plethora of regulated and unregulated formaldehyde sources in indoor and outdoor spaces, an extensive literature search was carried out.

TL;DR: This dataset disclose the investigational data on the extraction of bio-oil from seeds of Vitis vinifera through combination of mechanical pressing and soxhlet solvent extractor and the results are compared with the experimental data.

TL;DR: An annotated dataset of measurements obtained using the EurValve Smart Home In a Box (SHIB) rehabilitation monitoring system is presented, intended to evaluate room level indoor localization methods.

TL;DR: Overall groundwater quality is not suitable for drinking purpose in Obulavaripalli Mandal YSR district based on water quality Index (WQI).

TL;DR: This article presents the raw and analysed data on the absorption features of 30 pigments commonly occurring in phytoplankton together with associated magnitudes of the concentration-specific absorption coefficient.

TL;DR: This data article describes two datasets with hotel demand data, one of the hotels (H1) is a resort hotel and the other is a city hotel, which can have an important role for research and education in revenue management, machine learning, or data mining, as well as in other fields.

TL;DR: The HUE dataset contains donated data from residential customers of BCHydro, a provincial power utility, that helps research simulate and test systems for microgrid, off-grid communities, and alternative energy production.

TL;DR: This article describes the data used in analyses and modelled sex-specific change in 11 key measures of cardiovascular health from birth/early childhood to age 18 years in a British birth cohort study, the Avon Longitudinal Study of Parents and Children (ALSPAC).

TL;DR: The twelve Weredas (third-level administrative divisions) of Ethiopia which are highly prone to drought were selected to investigate decadal land surface temperature variations and its impact on the surrounding environment, especially on vegetation cover.

TL;DR: The readiness assessment was based on three main elements and six Smart City Pillars taken from Smart City Master Plan Preparation Guidance Book prepared by Ministry of Communication and Information Technology of the Republic of Indonesia to determine the readiness of the cities.

TL;DR: It was showed that majority of nurses had favorable attitude but poor knowledge and practice towards palliative care and the importance and need for developing palliatives care services in the authors' hospitals was emphasized.

TL;DR: Monomer-by-monomer HOR annotation used for this dataset as opposed to annotation of whole HOR repeats provides for mapping and quantification of various structural variants of AS HORs which can be used to collect data on inter-individual polymorphism of AS.

TL;DR: The findings reveal an evolution of the research field based on the concepts in the Brundtland Commission report to considering sustainability Triple Bottom Line in project management activities.

TL;DR: A comprehensive data set acquired in a healthy human brain using linear, planar and spherical diffusion tensor encoding at multiple b-values and diffusion encoding directions is shared to facilitate exploration and development of analysis techniques based on tensor-valued diffusion encoding.

TL;DR: A dataset acquired with a full multi-parameter mapping protocol is presented, made freely available to be used as a tutorial by following instructions provided on the associated toolbox wiki pages.

TL;DR: The dataset is the culmination of extensive data collection efforts using peer-reviewed and grey literature, national budgets, online databases, websites and other relevant sources, in order to estimate the scope and magnitude of global fisheries subsidies.