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Abstract Sea cucumber is a morphologically diverse and ecologically important clade of echinoderms. The sea cucumber Apostichopus japonicus is the most economically valuable speci…

Abstract Electronic health records (EHR) represent a rich and relatively untapped resource for characterizing the true nature of clinical practice and for quantifying the degree o…

Abstract Gridded high-resolution climate datasets are increasingly important for a wide range of modelling applications. Here we present PISCOt (v1.2), a novel high spatial resolu…

Abstract The Soil Moisture Ocean Salinity (SMOS) was the first mission providing L-band multi-angular brightness temperature (TB) at the global scale. However, radio frequency int…

Abstract The knowledge of the vibrational properties of a material is of key importance to understand physical phenomena such as thermal conductivity, superconductivity, and ferro…

Abstract A climate data record of global sea surface temperature (SST) spanning 1981–2016 has been developed from 4 × 10 12 satellite measurements of thermal infra-red radiance. T…

Abstract Cardiac dysfunction plays a critical role in clinical diagnostics and treatment. Although traditional methods like echocardiography and blood biomarkers are effective, th…

Abstract This dataset contains electroencephalography (EEG) recordings of 127 young adults (18–30 years old), along with retrospective objective and subjective reports of childhoo…

Abstract In this work, we compare the resolution of V2-V3 and V3-V4 16S rRNA regions for the purposes of estimating microbial community diversity using paired-end Illumina MiSeq r…

Abstract The Consistent Artificial Intelligence (AI)-based Soil Moisture (CASM) dataset is a global, consistent, and long-term, remote sensing soil moisture (SM) dataset created u…

Abstract The Hewlett Packard Enterprise–Cray EX Frontier is the world’s first and fastest exascale supercomputer, hosted at the Oak Ridge Leadership Computing Facility in Tennesse…

Abstract Digital radiography is one of the most common and cost-effective standards for the diagnosis of bone fractures. For such diagnoses expert intervention is required which i…

Abstract With the implementation of China’s top-down CO 2 emissions reduction strategy, the regional differences should be considered. As the most basic governmental unit in China…

Abstract AI image classification algorithms have shown promising results when applied to skin cancer detection. Most public skin cancer image datasets are comprised of dermoscopic…

Abstract Plantation is an important land use type that differs from natural forests and affects the economy and the environment. Tree age is one of the key factors used to quantif…

Abstract Sub-Saharan Africa faces severe agricultural data scarcity amidst high food insecurity and a large agricultural yield gap, making crop production data crucial for underst…

Abstract Accurate NMR chemical shift assignments are essential for atomic-resolution characterization of proteins. Especially for intrinsically disordered proteins (IDPs) and regi…

Abstract This paper presents a fine-grained and multi-sourced dataset for environmental determinants of health collected from England cities. We provide health outcomes of citizen…

Abstract Vision science, particularly machine vision, has been revolutionized by introducing large-scale image datasets and statistical learning approaches. Yet, human neuroimagin…

Abstract Potential evapotranspiration plays a crucial role in hydrological analysis. Therefore, reliable projection of potential evapotranspiration and/or reference evapotranspira…

Abstract Efforts to identify meaningful functional imaging-based biomarkers are limited by the ability to reliably characterize inter-individual differences in human brain functio…

Abstract Presented here is a dataset (PhDat) discretizing the aqueous phase behavior of 143 surfactants as a function of temperature and composition. Across the complete dataset, …

Abstract Numerous case studies show that citizens engage in various ways in renewable and low carbon energy projects, thereby contributing to the sustainable energy transition. To…

Abstract Spatially explicit soil information is crucial for comprehending and managing many of Earth´s processes related to carbon, water, and other biogeochemical cycles. We intr…

Abstract Researchers increasingly view animal personality traits as products of natural selection. We present data that describe the personalities of 128 eastern chimpanzees ( Pan…

Abstract Dutch elm disease (DED), caused by Ophiostoma novo-ulmi (ONU), has devastated elm populations across Europe and North America since the 20 th century. In this work, a de …

Abstract The capability to accurately detect and monitor landslides is essential for understanding their dynamics and reducing associated risks. However, existing deep learning mo…

Abstract Fluctuation X-ray scattering (FXS) is an emerging experimental technique in which solution scattering data are collected using X-ray exposures below rotational diffusion …

Abstract Understanding the molecular basis of plant-pathogen interactions is critical for advancing crop protection strategies. Powdery mildew, caused by the obligate fungal patho…

Abstract In plant sciences, curation and availability of interoperable phenotypic and genomic data is still in its infancy and represents an obstacle to rapid scientific discoveri…

Abstract Adult spine deformity (ASD) is prevalent and leads to a sagittal misalignment in the vertebral column. Computational methods, including Finite Element (FE) Models, have e…

Abstract Macro- and microscopic images of organisms are pivotal in biodiversity research. Despite that bioimages have manifold applications such as assessing the diversity of form…

Abstract Expert curation is essential to capture knowledge of enzyme functions from the scientific literature in FAIR open knowledgebases but cannot keep pace with the rate of new…

Abstract The range of applications of digital surface models of the bones in science and industry is wide. Three-dimensional reconstructions of bones are used in biomechanics, bio…

Abstract Granulocyte colony stimulating factor receptor (G-CSFR) plays an important role in the production of neutrophil granulocytes. Mutated G-CSFRs have been directly associate…

Abstract Global production-living-ecology space closely corresponds with sustainable development’s economic, social and ecological elements. The dataset of global production–livin…

Abstract This paper introduces the Combined Drought Indicator dataset, a collection of raster maps generated by the Copernicus European Drought Observatory for monitoring agricult…

Abstract Physical access to health facilities is an important factor in determining treatment seeking behaviour and has implications for targets within the Sustainable Development…

Abstract Asparagus bean ( Vigna . unguiculata ssp. sesquipedialis ), known for its very long and tender green pods, is an important vegetable crop broadly grown in the developing …

Abstract A total of 30 low-cost bottom pressure sensors sampling at 2 Hz were developed and deployed in a nearshore environment during 4.2 months. The experiment took place in Bla…