2018 IEEE 14th International Conference on e-Science (e-Science)最新文献_第8页

[Title page i] [标题页i]

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/escience.2018.00001

引用次数: 0

[Copyright notice] (版权)

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/escience.2018.00003

引用次数: 0

Message from the eScience 2018 Program Committee Chairs for the Focused Session on Advances in eScience for the Humanities and Social Sciences eScience 2018项目委员会主席在人文和社会科学领域的电子科学进展专题会议上的致辞

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/eScience.2018.00066

C. D. Vreese, C. Martinez-Ortiz

引用次数: 1

A Research Object-Based Toolkit to Support the Earth Science Research Lifecycle 支持地球科学研究生命周期的基于研究对象的工具箱

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/eScience.2018.00020

Raúl Palma, Andres Garcia-Silva, José Manuél Gómez-Pérez, M. Krystek

{"title":"A Research Object-Based Toolkit to Support the Earth Science Research Lifecycle","authors":"Raúl Palma, Andres Garcia-Silva, José Manuél Gómez-Pérez, M. Krystek","doi":"10.1109/eScience.2018.00020","DOIUrl":"https://doi.org/10.1109/eScience.2018.00020","url":null,"abstract":"Data-intensive science disciplines, like Earth Science, are increasingly producing and consuming a variety of digital resources during the course of a scientific investigation. Instead of having these resources in isolated repositories, scientists are seeking ways for managing and making these resources available from a single place, and at the same time they are also increasingly interested in the adoption of FAIR principles to enhance the visibility and reusability of scientific results. This has called for new methods to improve the access and communication of results. Research Objects are a key building block towards realising this vision. They provide a structured way (a model) to describe scientific resources related to an investigation, along with the context in which they were used and the people involved. But research objects are as useful in practice as the availability of tools supporting their adoption. In this paper, we present a toolkit, tailored for Earth Sciences, comprising a set of services and applications around research objects that support scientists throughout the research lifecycle to manage, share, find and reuse scientific results, and we discuss initial insights into the community adoption.","PeriodicalId":6476,"journal":{"name":"2018 IEEE 14th International Conference on e-Science (e-Science)","volume":"43 1","pages":"50-57"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82537997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Machine Learning for Multi-Omics Data Integration and Variant Pathogenicity Estimation 多组学数据整合与变异致病性估计的机器学习

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/eScience.2018.00062

Shuang Li, K. V. D. Velde, M. Swertz

引用次数: 0

Message from the eScience 2018 Program Committee Chairs for the Focused Session on Data Handling and Analytics for Health 来自eScience 2018项目委员会主席关于健康数据处理和分析的重点会议的信息

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/eScience.2018.00052

J. Heringa, V. V. Hees

引用次数: 0

Visualizing five decades of environmental acoustic data 可视化五十年的环境声学数据

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/ESCIENCE.2018.00140

A. Truskinger, M. Brereton, P. Roe

{"title":"Visualizing five decades of environmental acoustic data","authors":"A. Truskinger, M. Brereton, P. Roe","doi":"10.1109/ESCIENCE.2018.00140","DOIUrl":"https://doi.org/10.1109/ESCIENCE.2018.00140","url":null,"abstract":"Monitoring the environment with acoustic sensors is now practical; sensors are sold as commercial devices, storage is cheap, and the field of ecoacoustics is recognized as an effective way to scale monitoring of the environment. However, a pressing challenge faced in many eScience projects is how to manage, analyze, and visualize very large data so that scientists can benefit, with ecoacoustic data presenting its own particular challenges. This paper presents a new zoomable interactive visualization interface for the exploration of environmental audio data. The interface is a new tool in the Acoustic Workbench, an ecoacoustics software platform built for managing environmental audio data. This Google Maps like interface for audio data, enables zooming in and out of audio data by incorporating specialized, multiresolution, visual representations of audio data into the workbench website. The ‘zooming’ visualization allows scientists to surface the structure, detail, and patterns in content that would otherwise be opaque to them, from scales of seconds through to weeks of data. The Ecosounds instance of the Acoustic Workbench contains 52 years (108 TB) of audio data, from 1016 locations, which results in a 180 million-tile, 8.3 terapixel visualization. The design and implementation of this novel big audio data visualization is presented along with some design considerations for storing visualization tiles.","PeriodicalId":6476,"journal":{"name":"2018 IEEE 14th International Conference on e-Science (e-Science)","volume":"273 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84780462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

SPOT: Open Source Visual Data Analytics Platform for High-Dimensional Scientific Data SPOT:面向高维科学数据的开源可视化数据分析平台

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/eScience.2018.00127

F. Diblen, J. Attema, R. Bakhshi, B. Stienen, L. Hendriks, S. Caron

引用次数: 1

Detecting Probability of Ice Formation on Overhead Lines of the Dutch Railway Network 荷兰铁路网架空线路结冰概率检测

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/eScience.2018.00050

I. G. Martí, G. Schrier, J. Noteboom, P. Diks

引用次数: 4

Social Network-Epistemology 社会Network-Epistemology

2018 IEEE 14th International Conference on e-Science (e-Science) Pub Date : 2018-10-01 DOI: 10.1109/eScience.2018.00073

M. Alfano, S. Cunningham, Wouter Meulemans, Ignaz Rutter, Max Sondag, B. Speckmann, Emily Sullivan

引用次数: 1