R2R+BCO-DMO-linked oceanographic datasets

Adila Krisnadhi; Robert Arko; Suzanne Carbotte; Cynthia Chandler; Michelle Cheatham; Pascal Hitzler; Yingjie Hu; Krzysztof Janowicz; Peng Ji; Nazifa Karima; Adam Shepherd; Peter Wiebe

R2R+BCO-DMO-linked oceanographic datasets

Adila Krisnadhi
, Robert Arko
, Suzanne Carbotte
, Cynthia Chandler
, Michelle Cheatham
, Pascal Hitzler
, Yingjie Hu
, Krzysztof Janowicz
, Peng Ji
, Nazifa Karima
, Adam Shepherd
, Peter Wiebe

Geography

Wright State University
University of Indonesia
Columbia University
Woods Hole Oceanographic Institution
University of California at Santa Barbara

Research output: Contribution to journal › Conference article › peer-review

Abstract

The Biological and Chemical Oceanography Data Management Office (BCO-DMO) and the Rolling Deck to Repository (R2R) program are two key data repositories for oceanographic research, supported by the U.S. National Science Foundation (NSF). R2R curates digital data and documentation generated by environmental sensor systems installed on vessels from the U.S. academic research eet, with support from the NSF Oceanographic Technical Services and Arctic Research Logistics Programs. BCO-DMO human-curates and maintains data and metadata including biological, chemical, and physical measurements and results from projects funded by the NSF Biological Oceanography, Chemical Oceanography, and Antarctic Organisms & Ecosystems Programs. These two repositories have a strong connection, and document several thousand U.S. oceanographic research expeditions since the 1970's. Recently, R2R and BCO-DMO have made their metadata collections available as Linked Data, accessible via public SPARQL endpoints. In this paper, we report on these datasets.

Original language	English
Pages (from-to)	15-24
Number of pages	10
Journal	CEUR Workshop Proceedings
Volume	1501
State	Published - 2015
Event	1st International Diversity++ Workshop, Diversity++ 2015 - co-located with the 14th International Semantic Web Conference, ISWC 2015 - Bethlehem, United States Duration: Oct 12 2015 → …

Cite this

@article{f9835cdfb71b4b05953198eba1bb20ae,

title = "R2R+BCO-DMO-linked oceanographic datasets",

abstract = "The Biological and Chemical Oceanography Data Management Office (BCO-DMO) and the Rolling Deck to Repository (R2R) program are two key data repositories for oceanographic research, supported by the U.S. National Science Foundation (NSF). R2R curates digital data and documentation generated by environmental sensor systems installed on vessels from the U.S. academic research eet, with support from the NSF Oceanographic Technical Services and Arctic Research Logistics Programs. BCO-DMO human-curates and maintains data and metadata including biological, chemical, and physical measurements and results from projects funded by the NSF Biological Oceanography, Chemical Oceanography, and Antarctic Organisms \& Ecosystems Programs. These two repositories have a strong connection, and document several thousand U.S. oceanographic research expeditions since the 1970's. Recently, R2R and BCO-DMO have made their metadata collections available as Linked Data, accessible via public SPARQL endpoints. In this paper, we report on these datasets.",

author = "Adila Krisnadhi and Robert Arko and Suzanne Carbotte and Cynthia Chandler and Michelle Cheatham and Pascal Hitzler and Yingjie Hu and Krzysztof Janowicz and Peng Ji and Nazifa Karima and Adam Shepherd and Peter Wiebe",

year = "2015",

language = "English",

volume = "1501",

pages = "15--24",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

note = "1st International Diversity++ Workshop, Diversity++ 2015 - co-located with the 14th International Semantic Web Conference, ISWC 2015 ; Conference date: 12-10-2015",

}

TY - JOUR

T1 - R2R+BCO-DMO-linked oceanographic datasets

AU - Krisnadhi, Adila

AU - Arko, Robert

AU - Carbotte, Suzanne

AU - Chandler, Cynthia

AU - Cheatham, Michelle

AU - Hitzler, Pascal

AU - Hu, Yingjie

AU - Janowicz, Krzysztof

AU - Ji, Peng

AU - Karima, Nazifa

AU - Shepherd, Adam

AU - Wiebe, Peter

PY - 2015

Y1 - 2015

N2 - The Biological and Chemical Oceanography Data Management Office (BCO-DMO) and the Rolling Deck to Repository (R2R) program are two key data repositories for oceanographic research, supported by the U.S. National Science Foundation (NSF). R2R curates digital data and documentation generated by environmental sensor systems installed on vessels from the U.S. academic research eet, with support from the NSF Oceanographic Technical Services and Arctic Research Logistics Programs. BCO-DMO human-curates and maintains data and metadata including biological, chemical, and physical measurements and results from projects funded by the NSF Biological Oceanography, Chemical Oceanography, and Antarctic Organisms & Ecosystems Programs. These two repositories have a strong connection, and document several thousand U.S. oceanographic research expeditions since the 1970's. Recently, R2R and BCO-DMO have made their metadata collections available as Linked Data, accessible via public SPARQL endpoints. In this paper, we report on these datasets.

AB - The Biological and Chemical Oceanography Data Management Office (BCO-DMO) and the Rolling Deck to Repository (R2R) program are two key data repositories for oceanographic research, supported by the U.S. National Science Foundation (NSF). R2R curates digital data and documentation generated by environmental sensor systems installed on vessels from the U.S. academic research eet, with support from the NSF Oceanographic Technical Services and Arctic Research Logistics Programs. BCO-DMO human-curates and maintains data and metadata including biological, chemical, and physical measurements and results from projects funded by the NSF Biological Oceanography, Chemical Oceanography, and Antarctic Organisms & Ecosystems Programs. These two repositories have a strong connection, and document several thousand U.S. oceanographic research expeditions since the 1970's. Recently, R2R and BCO-DMO have made their metadata collections available as Linked Data, accessible via public SPARQL endpoints. In this paper, we report on these datasets.

UR - https://www.scopus.com/pages/publications/84961346411

M3 - Conference article

AN - SCOPUS:84961346411

SN - 1613-0073

VL - 1501

SP - 15

EP - 24

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 1st International Diversity++ Workshop, Diversity++ 2015 - co-located with the 14th International Semantic Web Conference, ISWC 2015

Y2 - 12 October 2015

ER -

R2R+BCO-DMO-linked oceanographic datasets

Abstract

Other files and links

Fingerprint

Cite this