Aboveground biomass density maps for post-hurricane Ian forest monitoring in Florida [0.03%]
佛罗里达州飓风伊安后森林监测地面以上生物量密度地图
Inacio T Bueno,Carlos A Silva,Caio Hamamura et al.
Inacio T Bueno et al.
Hurricane Ian caused aboveground biomass density (AGBD) losses across Florida's forests in the United States, highlighting the need for accurate, large-scale monitoring tools. We combined Global Ecosystem Dynamics Investigation (GEDI) LiDAR...
Maria Popa,Gabriela Adriana Vișa,Ciprian Radu Șofariu
Maria Popa
Multiple Sclerosis (MS) is a chronic autoimmune disease that primarily affects the central nervous system and is predominantly diagnosed in adults, making pediatric cases rare and underrepresented in medical research. This paper introduces ...
High-temporal-resolution dataset of uni-, bidirectional, and dynamic electric vehicle charging profiles [0.03%]
高时间分辨率的统一、双向和动态电动汽车充电档案数据集
Marcel Esser,Stavros Orfanoudakis,Omid Homaee et al.
Marcel Esser et al.
The transition to Electric Vehicles (EVs) introduces challenges for power grid integration, particularly due to the growing demand for charging infrastructure. To support research on smart charging strategies and bidirectional charging appl...
Matt Grossmann,Caleb Lucas,Benjamin Yoel
Matt Grossmann
Social science research into policymaking, electoral processes, and governmental functions is heavily influenced by the availability and usability of specific, granular data. Though vast amounts of data are generated by government and colle...
Chromosome-level genome assembly of an Arctic fish species pale eelpout (Lycodes pallidus) [0.03%]
北极鱼类物种灰eelbeak dogfish（Lycodes pallidus）的染色体水平基因组组装
Ran Zhang,Rui Wang,Xing Miao et al.
Ran Zhang et al.
Eelpouts (Zoarcidae) are known for their bipolar distributions and distinctive biogeographic histories. However, limited genomic data have hindered our understanding of their adaptive evolution. In this study, we present a thoroughly annota...
Wave 2 of the Multilingual Eye-Movement Corpus (MECO): New text reading data across languages [0.03%]
多语言眼动语料库(MECO)第二波：跨语言新的文本阅读数据
Noam Siegelman,Sascha Schroeder,Yaqian Borogjoon Bao et al.
Noam Siegelman et al.
This paper reports the Wave 2 expansion of the Multilingual Eye-Movement Corpus (MECO), a collaborative multi-lab project collecting eye-tracking data on text reading in a variety of languages. The present expansion comes with new eye-track...
Xiaoyuan Geng,Juanxia He,Victoria Grima et al.
Xiaoyuan Geng et al.
With the latest collection of soil point and available co-variables data, 100 m grids of soil type and selected soil attributes of Canada are developed. While model-based statistical validations during the machine learning runs are satisfac...
MMDental - A multimodal dataset of tooth CBCT images with expert medical records [0.03%]
MMDental：具有专家医疗记录的牙科CBCT图像多模态数据集
Chengkai Wang,Yifan Zhang,Chengyu Wu et al.
Chengkai Wang et al.
In the rapidly evolving field of dental intelligent healthcare, where Artificial Intelligence (AI) plays a pivotal role, the demand for multimodal datasets is critical. Existing public datasets are primarily composed of single-modal data, p...
DICOM datasets for reproducible neuroimaging research across manufacturers and software versions [0.03%]
跨制造商和软件版本的神经影像可重复性数据集
Christopher Rorden,Benoît Béranger,Hu Cheng et al.
Christopher Rorden et al.
DICOM is an industry-standard for medical imaging data targeted at interoperability across systems. This enables transfer, storage and processing of imaging data regardless of the manufacturer. Pragmatically, manufacturers often store detai...
SMRFR: A global multilayer soil moisture dataset generated using Random Forest from multi-source data [0.03%]
一种基于随机森林算法的多源土壤湿度数据集（1986-2020）
Yuhan Liu,Yuanyuan Zha,Gulin Ran et al.
Yuhan Liu et al.
Accurate and continuous monitoring of soil moisture (SM) is crucial for a wide range of applications in agriculture, hydrology, and climate modelling. In this study, we present a novel machine learning (ML) based framework for generating a ...