TY - GEN
T1 - Preparing, storing, and distributing multi-dimensional scientific data
AU - Devarakonda, Ranjeet
AU - Wei, Yaxing
AU - Thornton, Michele
AU - Mayer, Ben
AU - Thornton, Peter
AU - Cook, Bob
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/22
Y1 - 2015/12/22
N2 - Data of all sizes, generated by simulation and observation (i.e., instruments and satellites) activities, should be collected, stored, and organized, along with associated tools and research results, so that they are easily discoverable and accessible. Most observational data capture conditions at an exact point in time and are thus not reproducible, therefore it is imperative that initial data be captured and stored correctly the first time. In this paper, we will discuss how NASA's Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) is preparing, storing, and distributing large volumes of multi-dimensional scientific data using Daily Surface Weather Data and a corresponding Climatological Summaries Dataset (Daymet) as an example.
AB - Data of all sizes, generated by simulation and observation (i.e., instruments and satellites) activities, should be collected, stored, and organized, along with associated tools and research results, so that they are easily discoverable and accessible. Most observational data capture conditions at an exact point in time and are thus not reproducible, therefore it is imperative that initial data be captured and stored correctly the first time. In this paper, we will discuss how NASA's Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) is preparing, storing, and distributing large volumes of multi-dimensional scientific data using Daily Surface Weather Data and a corresponding Climatological Summaries Dataset (Daymet) as an example.
KW - Daymet
KW - ORNL DAAC
KW - Single Pixel Tool
KW - THREDDS
UR - http://www.scopus.com/inward/record.url?scp=84963731657&partnerID=8YFLogxK
U2 - 10.1109/BigData.2015.7364085
DO - 10.1109/BigData.2015.7364085
M3 - Conference contribution
AN - SCOPUS:84963731657
T3 - Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015
SP - 2811
EP - 2813
BT - Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015
A2 - Luo, Feng
A2 - Ogan, Kemafor
A2 - Zaki, Mohammed J.
A2 - Haas, Laura
A2 - Ooi, Beng Chin
A2 - Kumar, Vipin
A2 - Rachuri, Sudarsan
A2 - Pyne, Saumyadipta
A2 - Ho, Howard
A2 - Hu, Xiaohua
A2 - Yu, Shipeng
A2 - Hsiao, Morris Hui-I
A2 - Li, Jian
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE International Conference on Big Data, IEEE Big Data 2015
Y2 - 29 October 2015 through 1 November 2015
ER -