Data in Brief最新文献

Tropical cyclones (TCs) are catastrophic phenomena that constantly threaten populations settled in the tropics. Their direct effects (strong winds, storm surges, and intense precipitation) are confined near the TC center. On the other hand, the indirect effects are due to extreme rainfall events associated with rainbands distant from the TC center. Diverse TC-size definitions do not consider these indirect effects, although these definitions are used for disaster risk reduction strategies. Risk management based on TC size needs an appropriate definition of TC hazards for adequately planning early actions. Here, we developed two algorithms, Radius of the Outermost CLOUD (ROCLOUD) and Radius of Precipitation Band (RPB), to define outer TC sizes using the HURDAT data, GPM satellite imagery, and a radial wind profile. We analyzed 191 and 336 TCs over the North Atlantic and the Eastern North Pacific basins, respectively, during the 2000-2020 period. We create a database for outer TC sizes that presents 6-hourly information during the TC lifetime, from pre-cyclonic to decaying states. This database also provides the TC location, TC outer sizes defined by the two algorithms, and TC shape metrics (asymmetry, dispersion and solidity) every 6 h. The database is freely available in a text format at Mendeley data [1]. We present statistics for the four quadrant radii and mean radius defined by the ROCLOUD and RBP algorithms and the shape metrics. We expect this database can be useful to Early Warning Systems for Tropical Cyclones and regional risk management studies in the Middle Americas.

The Ti6Al4V alloy is widely recognized for its extensive industrial applications, particularly in the aeronautics sector, due to its exceptional strength to-weight ratio and corrosion resistance. In this context, many industrial processes depend critically on surface area, topology, and roughness. A promising approach involves combining Ti6Al4V alloy with polymer composites, which offers significant potential for engineers to design parts that are not only high-performing but also environmentally friendly. Friction stir spot welding (FSSW) emerges as a viable technique for achieving a robust bond between the metal and polymer composite materials. However, a critical factor in this process is the surface profile of the metal, which plays a pivotal role in ensuring strong adhesion between the polymer and the titanium substrate. The data provided focus on analyzing the surface profile and roughness achieved through laser ablation, an advanced technique used for surface texturing, and explores spark erosion as an alternative method.

Many scholars argue that there is a deepening crisis of trust in healthcare systems. What is not contested is the centrality of public trust in building reputational value in healthcare organisations. However, there is a dearth of research focused on better understanding how trust in healthcare institutions, and the healthcare workforce, can be sustainably cultivated. To enable the exploration of care-related factors within hospitals and their potential impacts on trust in healthcare workers, this dataset was created based on the 2020 National Maternity Experience Survey data. The survey data include responses to 68 structured, tick-box questions and three open-ended questions prepared with the participation of over 250 healthcare practitioners and experts, patients, as well as policymakers and researchers. The survey covers the full pathway of maternity care from antenatal care, through labour and birth, to postnatal care in the community. A total of 19 maternity hospitals and units participated in the survey which ran from February to April 2020, resulting in a total of 3204 women responses out of an eligible population of 6357. The survey data was extended with contextual information from a monitoring report on the National Maternity Services Standard published in 2020. The additional data includes compliance levels of maternity hospitals with established standards in four key areas including effective care support, safe care support, leadership governance and management, and workforce. This curated dataset can support investigations into a) the factors that determine overall women's care experience, b) factors contributing to building confidence and trust in the maternity care workforce among different groups of women, and c) how hospital environment, processes and governance impact both women's trust in maternity hospitals and their overall satisfaction.

We present a comprehensive dataset comprising head- and eye-centred video recordings from human participants performing a search task in a variety of Virtual Reality (VR) environments. Using a VR motion platform, participants navigated these environments freely while their eye movements and positional data were captured and stored in CSV format. The dataset spans six distinct environments, including one specifically for calibrating the motion platform, and provides a cumulative playtime of over 10 h for both head- and eye-centred perspectives. The data collection was conducted in naturalistic VR settings, where participants collected virtual coins scattered across diverse landscapes such as grassy fields, dense forests, and an abandoned urban area, each characterized by unique ecological features. This structured and detailed dataset offers substantial reuse potential, particularly for machine learning applications. The richness of the dataset makes it an ideal resource for training models on various tasks, including the prediction and analysis of visual search behaviour, eye movement and navigation strategies within VR environments. Researchers can leverage this extensive dataset to develop and refine algorithms requiring comprehensive and annotated video and positional data. By providing a well-organized and detailed dataset, it serves as an invaluable resource for advancing machine learning research in VR and fostering the development of innovative VR technologies.

Limiting the level of piglet losses before weaning is a growing demand from producers and society to improve the welfare and health of sows and piglets. In particular, perinatal mortality, which can be defined as the complete development allowing survival at birth, is mostly due to reduced piglet maturity that occurs at the end of gestation. Fetal growth and maturation depend on a fine balance between the nutrient requirements for optimal fetal growth and the maternal nutrient requirements. This balance occurs at the feto-maternal interface, defined as the interaction between the mother (uterus/endometrium) and the fetus (placenta). Thus, the CO-LOCATION project (ANR20-CE20-0020-01) studies the feto-maternal system in relation to fetal maturation and piglet survival at birth. To this end, we documented the transcriptome of endometrial and placental tissues in late gestation from pure and reciprocal crossbred fetuses using two breeds with extreme fetal maturity: Large White and Meishan, showing substantial and low neonatal mortality, respectively. 224 endometrial and 224 placental samples were selected from the PORCINET tissue collection (ANR-09-GENM-005) together with sow breed, day of gestation, sex, fetal genotypes and maturity. RNA was processed for RNA-seq analysis using NovaSeq6000. with an average of 107 and 105 million reads per endometrial and placental sample, respectively. Sequences were processed using the Nextflow nf-core/rnaseq pipeline for transcript and gene quantification. The average mapping rate was 91 % and 86 % for endometrial and placental samples, respectively. Then, the TAGADA pipeline was used to reconstruct RNA-seq de novo, predict lncRNA and quantify them. The data generated from this analysis provides a complete transcriptional profile of the feto-maternal interface during late gestation. These data sets are the starting point for further analyses, including differential expression analysis, enrichment analysis and investigation of the feto-maternal dialog.

This data article summarizes the material properties of some added-lignin thermoformed pulps (ALTPs). This type of molded pulp is particularly suited for replacing plastics in environments, where moisture is encountered, as the lignin reduces the transport and adsorption of water. The dataset was measured on wet formed substrates with either softwood chemi-thermomechanical pulp (CTMP) or northern bleached softwood Kraft pulp (NBSK). To the basis weight of 500 g/m² pulp fibers (6 g pulp per 15 cm by 8 cm substrate area) were added 0.8 g of lignin, constituting a loading of 13.33 % added lignin per dry fibers. Right after forming, the sheets were pressed at 20 bar and room temperature between blotting paper to remove excess water, air dried overnight, and subsequently thermopressed at 175 °C and 200 bar. The resulting materials were measured and weighed, cut into test stripes with 15 mm width, and tensile tested. The absorption of water (water uptake) was measured after immersing the test pieces (15 mm by 15 mm) in distilled water for 24 h. The data shows slight increases in density after lignin addition and, on average, a reduction in water absorption. In particular, adding acetylated lignin significantly lowered the water uptake, as compared to the regular soda or Kraft lignin. The tensile strength and stiffness of CTMP was the same or lower after lignin addition, whereas NBSK showed increases in both stiffness and strength.

Cone and spectral opponency are fundamental to colour processing in many species and are well studied in primates. The data required to make interspecific comparisons of the neural mechanisms associated with colour processing is spread across a broad body of literature reaching back to the 1950's across four retinal cell types and multiple brain regions. We aimed to produce a comprehensive dataset of all known cone opponent cells in non-primate vertebrates in image forming visual pathways. We completed a systematic literature search of two databases, Web of Science and Scopus, following PRISMA guidelines. From the data collected, we produced three datasets. One dataset contains cone opponency data that indicates which photoreceptors drive cell light responses. The second dataset contains spectral opponency data that represents the cell electrical responses to different wavelengths of light. Additionally, we developed a third database of photoreceptor data for the species for which cone or spectral opponency was reported to supplement the first two. These datasets will provide a synthesis of the data in the field of colour processing, can be used for interspecific and intraspecific meta-analyses, and can provide a starting point for understanding neural mechanisms behind wavelength comparisons in non-primate vertebrates.