CC* Networking Infrastructure: A Science DMZ For Quantitative Biology and Precision Agriculture
CC* 网络基础设施:定量生物学和精准农业的科学 DMZ
基本信息
- 批准号:2018432
- 负责人:
- 金额:$ 48.31万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-07-01 至 2022-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Moore’s Law has ushered in a scientific data revolution. This is particularly acute in the life sciences, where the devices used to collect data and the theoretical tools used to generate models have benefited tremendously from the advent of inexpensive digital sensors and general-purpose graphics processing units, which have led to an explosive increase in the volume of high-quality data. Sharing large amounts of this data for analysis by other researchers will result in tremendous benefits to the scientific community.This project creates a Science DMZ at Michigan State University, which will facilitate MSU researchers’ ability to share huge volumes of data with the external research community at very high bandwidth. The project supports the networking hardware and software necessary to implement up to 100Gbps network connections used for sharing data already stored at MSU’s High Performance Computing System and on the NSF-funded MI-OSIRIS file system. The project uses data provided by four research groups on campus as a testbed, making cryo-electron microscopy images, hyperspectral imaging of crops using drones, three-dimensional volumetric images of plants generated via X-ray computed tomography, and a databank of biomolecular simulation data available to other researchers and the public. This project enhances the impact of MSU scientists and leverages prior NSF scientific and cyberinfrastructure investments. In addition, it involves the participation of students in the deployment and usage of the science DMZ.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
摩尔定律带来了一场科学数据革命。 这在生命科学中尤为严重,因为用于收集数据的设备和用于生成模型的理论工具极大地受益于廉价数字传感器和通用图形处理单元的出现,从而导致高质量数据量的爆炸性增长。 分享大量的这些数据供其他研究人员分析将给科学界带来巨大的好处。该项目在密歇根州立大学创建了一个科学DMZ,这将有助于密歇根州立大学的研究人员以非常高的带宽与外部研究界分享大量数据。 该项目支持必要的网络硬件和软件,以实现高达100 Gbps的网络连接,用于共享已存储在密歇根州立大学的高性能计算系统和NSF资助的MI-OSIRIS文件系统上的数据。 该项目使用校园内四个研究小组提供的数据作为试验平台,制作低温电子显微镜图像,使用无人机对农作物进行高光谱成像,通过X射线计算机断层扫描生成的植物三维体积图像,以及其他研究人员和公众可用的生物分子模拟数据库。该项目增强了MSU科学家的影响力,并利用了NSF先前的科学和网络基础设施投资。 此外,它还涉及学生参与科学DMZ的部署和使用。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Measuring hidden phenotype: quantifying the shape of barley seeds using the Euler characteristic transform
- DOI:10.1093/insilicoplants/diab033
- 发表时间:2022-01-01
- 期刊:
- 影响因子:3.1
- 作者:Amezquita, Erik J.;Quigley, Michelle Y.;Chitwood, Daniel H.
- 通讯作者:Chitwood, Daniel H.
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Brian O'Shea其他文献
RWD109 Trends in the Global Drug Development Pipeline 2024
《RWD109:2024 年全球药物研发管道趋势》
- DOI:
10.1016/j.jval.2025.04.1692 - 发表时间:
2025-07-01 - 期刊:
- 影响因子:6.000
- 作者:
Brian O'Shea;Allison Carey - 通讯作者:
Allison Carey
A review of Huntington's disease.
亨廷顿舞蹈症综述。
- DOI:
10.3109/13651509709024715 - 发表时间:
1997 - 期刊:
- 影响因子:3
- 作者:
Brian O'Shea - 通讯作者:
Brian O'Shea
Brian O'Shea的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Brian O'Shea', 18)}}的其他基金
CC* Compute: The MSU Data Machine - a high-memory, GPU-enabled compute cluster for data-intensive and AI applications
CC* 计算:MSU 数据机 - 一个高内存、支持 GPU 的计算集群,适用于数据密集型和人工智能应用程序
- 批准号:
2200792 - 财政年份:2022
- 资助金额:
$ 48.31万 - 项目类别:
Standard Grant
REU Site: iCER ACRES: iCER Advanced Computational Research Experience for Students
REU 网站:iCER ACRES:为学生提供 iCER 高级计算研究体验
- 批准号:
1949912 - 财政年份:2020
- 资助金额:
$ 48.31万 - 项目类别:
Standard Grant
Travel grant for LRAC proposal AST20004: The role of low collisionality in compressible, magnetized turbulence
LRAC 提案 AST20004 的旅费补助:低碰撞性在可压缩、磁化湍流中的作用
- 批准号:
2031219 - 财政年份:2020
- 资助金额:
$ 48.31万 - 项目类别:
Standard Grant
Collaborative Research: The Spatially Resolved Circumgalactic Medium of Galaxies
合作研究:空间分辨的环绕星系介质
- 批准号:
1908109 - 财政年份:2019
- 资助金额:
$ 48.31万 - 项目类别:
Standard Grant
Probing the Fossils of the Local Group using Petascale Adaptive Mesh Galaxy Simulations
使用 Petascale 自适应网格星系模拟探测本地群的化石
- 批准号:
1810584 - 财政年份:2018
- 资助金额:
$ 48.31万 - 项目类别:
Standard Grant
Collaborative Research:Framework:Software:NSCI:Enzo for the Exascale Era (Enzo-E)
合作研究:框架:软件:NSCI:Exascale时代的Enzo(Enzo-E)
- 批准号:
1835426 - 财政年份:2018
- 资助金额:
$ 48.31万 - 项目类别:
Standard Grant
Collaborative research: Multiscale physics and feedback in real and simulated circumgalactic gas over cosmic time
合作研究:宇宙时间内真实和模拟的环绕星系气体的多尺度物理和反馈
- 批准号:
1514700 - 财政年份:2015
- 资助金额:
$ 48.31万 - 项目类别:
Continuing Grant
Petascale Adaptive Mesh Simulations of Milky Way-type Galaxies and Their Environments
银河系及其环境的千万亿次自适应网格模拟
- 批准号:
1514580 - 财政年份:2015
- 资助金额:
$ 48.31万 - 项目类别:
Standard Grant
Annual National Science Foundation Astronomy and Astrophysics Postdoctoral Fellows Symposium
年度国家科学基金会天文学和天体物理学博士后研讨会
- 批准号:
1612964 - 财政年份:2015
- 资助金额:
$ 48.31万 - 项目类别:
Standard Grant
Collaborative Research: Software Institute for Abstractions and Methodologies for HPC Simulation Codes on Future Architectures
合作研究:未来架构 HPC 模拟代码抽象和方法学软件研究所
- 批准号:
1228667 - 财政年份:2012
- 资助金额:
$ 48.31万 - 项目类别:
Standard Grant
相似海外基金
CC* Networking Infrastructure: YinzerNet: A Multi-Site Data and AI Driven Research Network
CC* 网络基础设施:YinzerNet:多站点数据和人工智能驱动的研究网络
- 批准号:
2346707 - 财政年份:2024
- 资助金额:
$ 48.31万 - 项目类别:
Standard Grant
CC* Networking Infrastructure: Building a Scalable and Polymorphic Cyberinfrastructure for Diverse Research and Education Needs at Illinois State University
CC* 网络基础设施:为伊利诺伊州立大学的多样化研究和教育需求构建可扩展和多态的网络基础设施
- 批准号:
2346712 - 财政年份:2024
- 资助金额:
$ 48.31万 - 项目类别:
Standard Grant
CC* Networking Infrastructure: Enhancing network connectivity for data-intensive, multi-institution collaborative science
CC* 网络基础设施:增强数据密集型、多机构协作科学的网络连接
- 批准号:
2346718 - 财政年份:2024
- 资助金额:
$ 48.31万 - 项目类别:
Standard Grant
CC* Networking Infrastructure: Enabling Big Science and Big Data Projects at the University of Massachusetts
CC* 网络基础设施:支持马萨诸塞大学的大科学和大数据项目
- 批准号:
2346286 - 财政年份:2024
- 资助金额:
$ 48.31万 - 项目类别:
Standard Grant
CC* Regional Networking: Connecting Colorado's Western Slope Small Institutions of Higher Education to the Front Range GigaPoP Regional R&E Infrastructure
CC* 区域网络:将科罗拉多州西坡小型高等教育机构与前沿 GigaPoP 区域 R 连接起来
- 批准号:
2346635 - 财政年份:2024
- 资助金额:
$ 48.31万 - 项目类别:
Standard Grant
Research Infrastructure: CC*Networking Infrastructure: Deep Soil to Supercomputing - Infrastructure Enhancements as a Force Multiplier for Idaho Research
研究基础设施:CC*网络基础设施:从深层到超级计算 - 基础设施增强是爱达荷州研究的力量倍增器
- 批准号:
2346652 - 财政年份:2024
- 资助金额:
$ 48.31万 - 项目类别:
Standard Grant
CC* Networking Infrastructure: FAN4Science: Flow-Aware Networking for Data-Intensive Science
CC* 网络基础设施:FAN4Science:数据密集型科学的流感知网络
- 批准号:
2346681 - 财政年份:2024
- 资助金额:
$ 48.31万 - 项目类别:
Standard Grant
CC* Networking Infrastructure: University of Hawaii Manoa Research Networking Upgrades
CC* 网络基础设施:夏威夷大学马诺阿研究网络升级
- 批准号:
2321877 - 财政年份:2023
- 资助金额:
$ 48.31万 - 项目类别:
Standard Grant
Research Infrastructure: CC* Regional Networking: The Pennsylvania Science DMZ supporting under resourced colleges and universities (PA Science DMZ)
研究基础设施:CC* 区域网络:宾夕法尼亚科学 DMZ 在资源充足的学院和大学的支持下 (PA Science DMZ)
- 批准号:
2346589 - 财政年份:2023
- 资助金额:
$ 48.31万 - 项目类别:
Standard Grant
CC* Networking Infrastructure: Improving Science Data Flows with Advanced Networking and Cyberinfrastructure at Manhattan College
CC* 网络基础设施:利用曼哈顿学院的先进网络和网络基础设施改善科学数据流
- 批准号:
2322110 - 财政年份:2023
- 资助金额:
$ 48.31万 - 项目类别:
Standard Grant