Spatial variation of population, density, and composition of mosquitoes in mainland China.

Mosquitoes pose a significant threat to global health, impacting over 40% of the world's population. Currently, a dearth of large-scale and long-term data on mosquito populations in China hinders related research and public health endeavors. In response, we meticulously compiled and analyzed existing studies to construct a comprehensive dataset illustrating the spatial variation of mosquito populations, density, and composition across mainland China.

Annotated corpus for traditional formula-disease relationships in biomedical articles.

The Traditional Formula (TF), a combination of herbs prepared in accordance with traditional medicine principles, is increasingly garnering global attention as an alternative to modern medicine. Specifically, there is growing interest in exploring TF's therapeutic effects across various diseases. A significant portion of the state-of-the-art knowledge regarding the relationship between TF and disease is found in scientific publications, where manual knowledge extraction is impractical.

DeepBase: A Deep Learning-based Daily Baseflow Dataset across the United States.

High quality baseflow data is important for advancing water resources modeling and management, as it captures the critical role of groundwater and delayed sources in contributing to streamflow. Baseflow is the main recharge source of runoff during the dry period, particularly in understanding the interaction between surface water and groundwater systems. This study focuses on estimating baseflow using deep learning algorithms that enhance the estimation capabilities in both gauged and ungauged basins.

A large annotated cervical cytology images dataset for AI models to aid cervical cancer screening.

Accurate detection of abnormal cervical cells in cervical cancer screening increases the chances of timely treatment. The vigorous development of deep learning methods has established a new ecosystem for cervical cancer screening, which has been proven to effectively improve efficiency and accuracy of cell detection in many studies. Although many contributing studies have been conducted, limited public datasets and time-consuming collection efforts may hinder the generalization performance of those advanced models and restrict further research.

Chromosome-level genome assemblies of sunflower oilseed and confectionery cultivars.

The sunflower (Helianthus annuus L.), belonging to the Asteraceae family, is the world's fourth most important oil crop. Sunflower cultivars are categorized into oilseed and confectionery types.

Chromosome-level genome assembly of the seasonally polyphenic scorpionfly (Panorpa liui).

Mecoptera is a small relict order of insects within the Holometabola. Panorpidae is the most speciose family in Mecoptera. They are also known as scorpion flies due to the enlarged and upward recurved male genital bulb.

Chromosome-level haplotype-resolved genome of the tropical loach (Oreonectes platycephalus).

The flat-headed loach (Oreonectes platycephalus) is a small fish inhabiting headwaters of hillstreams of southern China. Its local populations are characterized by low genetic diversity and exceptionally high differentiation, making it an ideal model for studying small population isolates' persistence and adaptive potential. However, the lack of Oreonectes reference genomes limits endeavours toward these ambitions.

Australia's marine fishes DNA barcode reference library for integrated taxonomy, metabarcoding & eDNA research.

Over 15 000 species of fishes are found globally in the marine environment and DNA barcodes are used extensively to describe, catalogue, understand and manage this diversity. The dataset outlined here represents a DNA barcode reference library of the mitochondrial cytochrome c oxidase subunit 1 gene (COI) from 9767 voucher specimens (representing at least 2220 species and 288 families) of marine fishes. This publicly available dataset in the Barcode of Life Data System (BOLD) represents 17 years (2005-2022) of barcoding of marine fishes identified from Australian territorial waters.

A chromosome-level genome assembly of wild silkmoth, Bombyx mandarina.

The wild silk moth, Bombyx mandarina, is the closest relative of the domesticated silk moth, Bombyx mori. National BioResource Project of Japan (NBRP) maintains a B. mandarina strain derived from individuals captured at Sakado (Saitama, Japan) in 1982.

A Collaborative and Scalable Geospatial Data Set for Arctic Retrogressive Thaw Slumps with Data Standards.

Arctic permafrost is undergoing rapid changes due to climate warming in high latitudes. Retrogressive thaw slumps (RTS) are one of the most abrupt and impactful thermal-denudation events that change Arctic landscapes and accelerate carbon feedbacks. Their spatial distribution remains poorly characterised due to time-intensive conventional mapping methods.

A multi-feature dataset of coated end milling cutter tool wear whole life cycle.

Deep learning methods have shown significant potential in tool wear lifecycle analysis. However, there are fewer open source datasets due to the high cost of data collection and equipment time investment. Existing datasets often fail to capture cutting force changes directly.

Reconstruction of long-term hourly sea level data for Prince Edward Island, Canada.

Regional sea level rise has been regarded a key factor in understanding of climate change impact to coastal communities. As a vulnerable island to sea level rise and storm surges, the province of Prince Edward Island (PEI) in Canada lacks sufficient long-term island-wide historic record of sea level data. This has become a major challenge for further studies on coastal environments and climate change adaptation.

NEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function.

This paper introduces the "NEBULA101 - Neuro-behavioural Understanding of Language Aptitude" dataset, which comprises behavioural and brain imaging data from 101 healthy adults to examine individual differences in language and cognition. Human language, a multifaceted behaviour, varies significantly among individuals, at different processing levels. Recent advances in cognitive science have embraced an integrated approach, combining behavioural and brain studies to explore these differences comprehensively.

A New Global Mangrove Height Map with a 12 meter spatial resolution.

Mangrove forests thrive along global tropical coasts, acting as a barrier that protects coastlines against storm surges and as nurseries for an entire food web. They are also known for their high carbon sequestration rates and soil carbon stocks. We introduce a new global mangrove canopy height map generated from TanDEM-X spaceborne elevation measurements collected during the 2011-2013 period with a 12-meter spatial resolution and an accuracy of 2.

Chromosome-level genome assembly of Salvia sclarea.

Salvia sclarea is a medicinal herb from the Lamiaceae family, valued for its essential oil which contains sclareol, linalool, linalyl acetate, and other compounds. Despite its extensive use, the genetic mechanisms of S. sclarea are not well understood.

The first experimentally obtained dataset on processing parameters and properties of soft magnetic composites.

The present work describes the process of the creation and analysis of the first dataset containing processing parameters and functional properties of soft magnetic composites (SMC). All data were obtained experimentally using Fe-3% MgO system. When creating samples, parameters such as a size of MgO nanoparticles, pressing pressure, sintering temperature, time and atmosphere were varied.

One-week test-retest recordings of resting cardiorespiratory data for reliability analysis.

Heart rate variability (HRV) is a key indicator of cardiac autonomic function, making reliable assessment crucial. To examine the test-retest stability of resting HRV in healthy individuals, fifty participants attended two lab sessions within a week, at the same time of day. After a 5-minute acclimatization period, electrocardiogram and respiration were recorded at rest.

Economic preferences and cognitive abilities among teenagers in Spain.

This dataset originates from TeensLab, a consortium of Spanish Universities dedicated to behavioral research involving Spanish teenagers. The dataset contains data from 33 distinct educational institutions across Spain, accounting for a total of 5,890 students aged 10 to 23 (M = 14.10, SD = 1.

Hessian QM9: A quantum chemistry database of molecular Hessians in implicit solvents.

A significant challenge in computational chemistry is developing approximations that accelerate ab initio methods while preserving accuracy. Machine learning interatomic potentials (MLIPs) have emerged as a promising solution for constructing atomistic potentials that can be transferred across different molecular and crystalline systems. Most MLIPs are trained only on energies and forces in vacuum, while an improved description of the potential energy surface could be achieved by including the curvature of the potential energy surface.

WEBA dataset as the Reflection of Work content effect on Workload perception in Real life Working conditions.

The effect of work content on workload, stress, and performance was not well addressed in the literature, due to the lack of comprehensive conceptualization, problem definition, and relevant dataset. The gap between laboratory-simulated studies and real-life working conditions delays the generalization, hindering the development of performance management and monitoring tools. Contributing to this topic, a data collection effort is organized, which considers unique work conditions and work content factors of a coffee shop, to conceptualize scenarios that better highlight their effect on human performance, thus creating the Work content Effect on BAristas (WEBA) dataset.

A membrane permeability database for nonpeptidic macrocycles.

The process of developing new drugs is arduous and costly, particularly for targets classified as "difficult-to-drug." Macrocycles show a particular ability to modulate difficult-to-drug targets, including protein-protein interactions, while still allowing oral administration. However, the determination of membrane permeability, critical for reaching intracellular targets and for oral bioavailability, is laborious and expensive.

Multi-Planar Cervical Motion Dataset: IMU Measurements and Goniometer.

This data descriptor presents a comprehensive and replicable dataset and method for calculating the cervical range of motion (CROM) utilizing quaternion-based orientation analysis from Delsys inertial measurement unit (IMU) sensors. This study was conducted with 14 participants and analyzed 504 cervical movements in the Sagittal, Frontal and Horizontal planes. Validated against a Universal Goniometer and tested for reliability and reproducibility.

A dataset of gridded precipitation intensity-duration-frequency curves in Qinghai-Tibet Plateau.

The Qinghai-Tibet Plateau (QTP), a high mountain area prone to destructive rainstorm hazards and inducing natural disasters, underscores the importance of developing precipitation intensity-duration-frequency (IDF) curves for estimating extreme precipitation characteristics. Here we introduce the Qinghai-Tibet Plateau Precipitation Intensity-Duration-Frequency Curves (QTPPIDFC) dataset, the first gridded dataset tailored for estimating extreme precipitation characteristics in QTP. The generalized extreme value distribution is chosen to fit the annual maximum precipitation samples at 203 weather stations, based on which the at-site IDF curves are estimated; then, principal component analysis is done to identify the southeast-northwest spatial pattern of at-site IDF curves, and its first principal component gives a 96% explained variance; finally, spatial interpolation is done to estimate gridded IDF curves by using the random forest model with geographical and climatic variables as predictors.

Chromosome-level genome assembly of a destructive leaf-mining moth Eriocrania semipurpurella alpina.

Eriocraniidae (Lepidoptera) are widespread leaf miners and have unique adaptability to hypoxia and low temperatures, causing covert but devastating harm to Fagales (Betulaceae and Fagaceae) plants in the Holarctic. However, the lack of a high-quality genome of this most ancient family within the angiosperm-feeding group largely limits the studies on the phylogeny and environmental adaptation of the primitive Lepidoptera. In this study, utilizing Illumina sequencing, PacBio HiFi sequencing, and Hi-C technology, we constructed a chromosome-level genome assembly of E.