Digital Science has announced a new version of its Dimensions platform - Dimensions Life Sciences & Chemistry - focused on life sciences and chemistry research activities
January 28 2020, London, UK: Digital Science’s Dimensions database will now integrate more than 1.4m datasets as a new content type. The datasets will be available to all users – including those using the free version of Dimensions. Data will be sourced from figshare.com and ...
London-based research technology company Digital Science on January 15 debuted Dimensions, a citation database, discovery platform, and research analytics suite that links 3.6 billion connections among 124 million documents including academic articles, monographs, patents, clinical trials, funded grants, ...
2021年8月19日,Digital Science宣布推出Dimensions平台的新版本:Dimensions Life Sciences & Chemistry(Dimensions L&C),该平台专注于生命科学和化学研究活动。 Dimensions L&C支持分析超过1.2亿份科学出版物、数百万项专利、拨款和临床试验文件。它应用了最...
Dimensions是一个现代的、创新的、相互关联的研究知识系统，它重新想象发现和获取研究。由Digital Science与世界各地的100多个领先的研究机构合作， Dimensions汇集了资助基金，出版物，引文，替代指标，临床试验和专利等信息，为用户更快地找到并访问最相关的信息，分析学术和更广泛的研究结果， 收集见解，为未来的战略提供...
Part of Digital Science, Dimensions is the largest linked research database and data infrastructure provider, re-imagining research discovery with access to grants, publications, clinical trials, patents and policy documents all in one place.www.dimensions.ai. Follow@DSDimensionson Twitter andLinkedIn....
Ideally, the material type making up each pixel of a hyperspectral image can be identified by comparing with a material database. However, the limited resolution of hyperspectral imaging devices causes each pixel to be a mixed with several materials. Thus, an unmixing process is performed to extr...
which is an advanced drafting tool with significant database facilities. Some programming languages, like Pascal, can be effectively used for customizing to fit the requirements of archeologists. The data retrieved from a total station can be easily plotted, and the plotting process can be automated...
Digital health data are multimodal and high-dimensional. A patient’s health state can be characterized by a multitude of signals including medical imaging, clinical variables, genome sequencing, conversations between clinicians and patients, and continu
In addition, the cross-sectional nature of our data does not allow us to make any causal claims about the different participation types. As a consequence, our results are to be interpreted as a descriptive analysis. Furthermore, we specifically assessed various psychological predictors in relation ...