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Abstract The promoter landscape of several non-human model organisms is far from complete. As a part of FANTOM5 data collection, we generated 13 profiles of transcription initiati…

Abstract Open clinical trial data offer many opportunities for the scientific community to independently verify published results, evaluate new hypotheses and conduct meta-analyse…

Abstract Tree peony ( Paeonia suffruticosa Andrew) is a popular ornamental plant due to its large, fragrant and colorful flowers. The floral development is the most important even…

Abstract Compositional analyses have long been used to determine the geological sources of artefacts. Geochemical “fingerprinting” of artefacts and sources is the most effective w…

Abstract We present a long-term and high-resolution phenological dataset from 17 wildflower species collected in Mt. Rainier National Park, as part of the MeadoWatch (MW) communit…

Abstract Scientific data are essential to advancing scientific knowledge and are increasingly valued as scholarly output. Understanding what drives dataset downloads is crucial fo…

Abstract We build a new dataset covering 90 years of Cholera spreading in Hindustan from 1814 to 1904. We gather data from a collection of primary sources issued from medical repo…

Abstract Event-based surveillance (EBS) gathers information from a variety of data sources, including online news articles. Unlike the data from formal reporting, the EBS data are…

Abstract Privacy restrictions hinder the sharing of real-world Water Distribution Network (WDN) models, limiting the application of emerging data-driven machine learning, which ty…

Abstract Climate change is likely to pose enormous challenges for agriculture, water resources, infrastructure, and livelihood of millions of people living in South Asia. Here, we…

Abstract Ehretia macrophylla Wall, known as wild loquat, is an ecologically, economically, and medicinally significant tree species widely grown in China, Japan, Vietnam, and Nepa…

Abstract Many countries are rolling out smart electricity meters. These measure a home’s total power demand. However, research into consumer behaviour suggests that consumers are …

Abstract As fundamental data, gross domestic product (GDP) and electricity consumption can be used to effectively evaluate economic status and living standards of residents. Some …

Abstract In computational pathology, automatic nuclei instance segmentation plays an essential role in whole slide image analysis. While many computerized approaches have been pro…

Abstract Dynamical downscaling is vital for generating finer-scale climate projections. Recently, a set of simulations under four types of 1.5/2 °C global warming scenarios are av…

Abstract Piezoelectric materials are used in numerous applications requiring a coupling between electrical fields and mechanical strain. Despite the technological importance of th…

Abstract A standardized delineation of the world’s mountains has many applications in research, education, and the science-policy interface. Here we provide a new inventory of 861…

Abstract Interdisciplinary approaches are needed to understand the relationship between genetic factors and brain structure and function. Here we describe a database that includes…

Abstract Machine learning (ML) methods for the analysis of electrocardiography (ECG) data are gaining importance, substantially supported by the release of large public datasets. …

Abstract Statistically downscaled climate data have been widely used to explore possible impacts of climate change in various fields of study. Although many studies have focused o…

Abstract The introduction of species to locations where they do not naturally occur (termed aliens) can have far-reaching and unpredictable environmental and economic consequences…

Abstract Accurate detection and classification of lung malignancies are crucial for early diagnosis, treatment planning, and patient prognosis. Conventional histopathological anal…

Abstract Lithium-ion batteries (LIBs) represent the state of the art in high-density energy storage. To further advance LIB technology, a fundamental understanding of the underlyi…

Abstract Traffic flow modeling is essential for transportation engineering and urban planning, particularly in complex scenarios such as lane-changing and movements at ramps. Howe…

Abstract The Schizothoracinae fish are a natural group of cyprinids widely distributed in rivers and lakes in the Qinghai-Tibetan Plateau (QTP) and adjacent regions. These fish pa…

Abstract The vascular flora of Britain and Ireland is among the most extensively studied in the world, but the current knowledge base is fragmentary, with taxonomic, ecological an…

Abstract Air temperature (Ta), snow depth (Sd), and soil temperature (Tg) are crucial variables for studying the above- and below-ground thermal conditions, especially in high lat…

Abstract The vast majority of eukaryotic organisms reproduce sexually, yet the nature of the sexual system and the mechanism of sex determination often vary remarkably, even among…

Abstract Grasspea ( Lathyrus sativus L.) is an underutilised but promising legume crop with tolerance to a wide range of abiotic and biotic stress factors, and potential for clima…

Abstract Detection and diagnosis of colon polyps are key to preventing colorectal cancer. Recent evidence suggests that AI-based computer-aided detection (CADe) and computer-aided…

Abstract To limit energy consumption and peak loads with increased electrification of our society, more information is needed about the energy use in buildings. This article prese…

Abstract As the COVID-19 pandemic unfolds, radiology imaging is playing an increasingly vital role in determining therapeutic options, patient management, and research directions.…

Abstract Patent data is the preferred source of information for tracking technological change. However, the economic impact of patented technologies remains unclear unless patent …

Abstract Generic emotion prediction models based on physiological data developed in the field of affective computing apparently are not robust enough. To improve their effectivene…

Abstract A curated database of shark and ray biological data is increasingly necessary both to support fisheries management and conservation efforts, and to test the generality of…

Abstract The Climate Hazards Center Coupled Model Intercomparison Project Phase 6 climate projection dataset (CHC-CMIP6) was developed to support the analysis of climate-related h…