Zobrazeno 1 - 10
of 13
pro vyhledávání: '"GHML"'
Autor:
D Sloan, F Kuznetsov, K Lal, R Loewner, Y Makogon, G Moridis, J Ripmeester, Jean-Jacques Royer, T Smith, B Tohidi, T Uchida, J Wang, W Wang, Y Xiao
Publikováno v:
Data Science Journal, Vol 6 (2007)
Natural gas hydrates may contain more energy than all the combined other fossil fuels, causing hydrates to be a potentially vital aspect of both energy and climate change. This article is an overview of the motivation, history, and future of hydrate
Externí odkaz:
https://doaj.org/article/e7b14ed244b749049aec59ce629024c2
Publikováno v:
Data Science Journal, Vol 6 (2007)
Data and information exchange are crucial for any kind of scientific research activities and are becoming more and more important. The comparison between different data sets and different disciplines creates new data, adds value, and finally accumula
Externí odkaz:
https://doaj.org/article/1cbc07c11c584d64abafafa98f4d751f
Publikováno v:
Data Science Journal, Vol 6 (2007)
Laboratory Hydrate Data is one of the three constituent modules comprising the XML based Gas Hydrate Markup Language (a.k.a. GHML) schema, the others being Field Hydrate data by L&oumul;wner et al. and Hydrate Modeling by Wang et al. This module desc
Externí odkaz:
https://doaj.org/article/69c6fab246f14bef8943e989136e2782
Publikováno v:
Data Science Journal, Vol 6 (2007)
Natural gas hydrates, as an important potential fuels, flow assurance hazards, and possible factors initiating the submarine geo-hazard and global climate change, have attracted the interest of scientists all over the world. After two centuries of hy
Externí odkaz:
https://doaj.org/article/a918164c73c8422194a93c8e6b6a530e
Publikováno v:
Data Science Journal; Vol 6 (2007): Special Issue; GH18-GH24
Data Science Journal, Vol 6 (2007)
Data Science Journal, Vol 6 (2007)
Laboratory Hydrate Data is one of the three constituent modules comprising the XML based Gas Hydrate Markup Language (a.k.a. GHML) schema, the others being Field Hydrate data by L&oumul;wner et al. and Hydrate Modeling by Wang et al. This module desc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41e60add5c4f2f12dae263cb33000a19
https://doi.org/10.2481/dsj.6.gh18
https://doi.org/10.2481/dsj.6.gh18
Autor:
Kroenlein, K., Löwner, R., Wang, W., Dikya, V., Smith, T., Muznya, C.D, Chiricoa, R.D., Kazakov, A., Sloan, E. Dendy, Frenkel, M.
Gas Hydrates Markup Language (GHML) has been under development since 2003 by the CODATA Task Group “Data for Natural Gas Hydrates” as an international standard for data storage and transfer in the gas hydrates community. We describe the developme
Externí odkaz:
http://hdl.handle.net/2429/1150
Autor:
Y. F. Makogon, Yun Xiao, W. Wang, K. Lal, Tsutomu Uchida, Dendy Sloan, Juanle Wang, George J. Moridis, R. Loewner, Bahman Tohidi, F. Kuznetsov, Jean Royer, John A. Ripmeester, Thomas G. Aguierre Smith
Publikováno v:
Data Science Journal; Vol 6 (2007): Special Issue; GH1-GH5
Data Science Journal, Vol 6 (2007)
Data Science Journal, Vol 6 (2007)
Natural gas hydrates may contain more energy than all the combined other fossil fuels, causing hydrates to be a potentially vital aspect of both energy and climate change. This article is an overview of the motivation, history, and future of hydrate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba4ac770126d45f1088af73809cb2473
https://datascience.codata.org/jms/article/view/dsj.6.GH1
https://datascience.codata.org/jms/article/view/dsj.6.GH1
Publikováno v:
Data Science Journal, Vol 6 (2007)
Data Science Journal; Vol 6 (2007): Special Issue; GH25-GH36
Data Science Journal; Vol 6 (2007): Special Issue; GH25-GH36
Natural gas hydrates, as an important potential fuels, flow assurance hazards, and possible factors initiating the submarine geo-hazard and global climate change, have attracted the interest of scientists all over the world. After two centuries of hy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1c3d80b32b640ccd19a4808bc0d5d2b
http://datascience.codata.org/articles/536
http://datascience.codata.org/articles/536
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.