Ulmus minor response to Dutch elm disease: de novo transcriptome assembly and annotation [0.03%]
榆树叶锈病的响应：从头转录组组装与注释
V Chano,J Sobrino-Plata,C Martínez-Arias et al.
V Chano et al.
Dutch elm disease (DED), caused by Ophiostoma novo-ulmi (ONU), has devastated elm populations across Europe and North America since the 20th century. In this work, a de novo transcriptome assembly of Ulmus minor in response to ONU is presen...
Chromosome-level genome assembly of the Vermilion Snapper (Rhomboplites aurorubens) [0.03%]
红带拟石首鱼（Rhomboplites aurorubens）染色体水平基因组组装
A Roa-Varón,P Moulos,S Harter et al.
A Roa-Varón et al.
Vermilion Snapper (Rhomboplites aurorubens, Lutjanidae) inhabits deep waters (20-300 m) from North America to Brazil and supports significant commercial and recreational fisheries. Despite its economic importance, the understanding of its b...
A highly annotated drug combination resource for catalyzing precision combinatorial therapy [0.03%]
一种高度注释的药物组合资源，可催化精准组合疗法
Tianyi You,Lili Wang,Jianhua Wang et al.
Tianyi You et al.
Combinations of cancer drugs have the potential to overcome resistance, improve the response rate of existing drugs and reduce dose-limiting toxicity associated with single agents. Existing drug combination databases only provide response d...
Imanol Miqueleiz,Robin Abell,Carmen Revenga et al.
Imanol Miqueleiz et al.
Large-scale conservation of biodiversity requires understanding how species are distributed around the world. The first global delineation of freshwater ecoregions (Abell et al. 2008) integrated hydrological boundaries and fish biogeographi...
Wiki-Quantities and Wiki-Measurements: Datasets of quantities and their measurement context from Wikipedia [0.03%]
来自维基百科的规模和测量数据集及其测量背景
Jan Göpfert,Patrick Kuckertz,Jann M Weinand et al.
Jan Göpfert et al.
To cope with the large number of publications, more and more researchers are automatically extracting data of interest using natural language processing methods based on supervised learning. Much data, especially in the natural and engineer...
Ethan Dee,Alex Garlick
Ethan Dee
State legislatures in the United States handle a number of important policy issues, but pose a challenge for researchers to observe because they are not organized by any central agency. We use a machine learning model based on the "transfor...
A dataset for understanding self-reported patterns influencing residential energy decisions [0.03%]
一个理解自我报告模式影响居住地能源决策的数据集
Tracy L Fuentes,Kieren H McCord,Max J Martell et al.
Tracy L Fuentes et al.
Household occupant behavior and decision-making dynamics substantially impact technology uptake and residential building energy performance. Although significant research underscores the importance of social science in energy studies, few p...
Qingfeng Tang,Pengcheng Ding,Guowei Dai et al.
Qingfeng Tang et al.
Early assessment of cardiovascular disease risk plays an important role in preventing cardiovascular disease, vascular age (VA) is an important indicator for early screening of cardiovascular disease risk. This study presents a pulse signal...
Updated fine-scale location data for Blantyre district collected using a low-cost approach [0.03%]
利用低成本方法收集的布兰泰尔地区更新后的精细位置数据
Chifuniro Baluwa,Patrick Ken Kalonde,Upendo Lisa Mseka et al.
Chifuniro Baluwa et al.
Knowing up-to-date geographical location of residential areas is crucial for understanding health-related factors and formulating targeted interventions. However, such data are often unavailable or resource-intensive to collect. This study ...
A high-resolution database of historical and future climate for Africa developed with deep neural networks [0.03%]
一种用于非洲的高分辨率历史和未来气候数据库，由深度神经网络构建
Sarah A Namiiro,Andreas Hamann,Tongli Wang et al.
Sarah A Namiiro et al.
This study contributes an accessible, comprehensive database of interpolated climate data for Africa that includes monthly, annual, decadal, and 30-year normal climate data for the last 120 years (1901 to present) as well as multi-model CMI...