Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Earth Science Information"'
Autor:
Margaret O’Brien, Ruth Duerr, Riley Taitingfong, Andrew Martinez, Lourdes Vera, Lydia L. Jennings, Robert R. Downs, Erin Antognoli, Talya ten Brink, Nicole B. Halmai, Dominique David-Chavez, Stephanie Russo Carroll, Maui Hudson, Pier Luigi Buttigieg
Publikováno v:
Data Science Journal, Vol 23, Pp 37-37 (2024)
Datasets carry cultural and political context at all parts of the data life cycle. Historically, Earth science data repositories have taken their guidance and policies as a combination of mandates from their funding agencies and the needs of their us
Externí odkaz:
https://doaj.org/article/6ca7b6518c0a4fef822a5a3c698dfdf7
Autor:
Ge Peng, Robert R. Downs, Carlo Lacagnina, Hampapuram Ramapriyan, Ivana Ivánová, David Moroni, Yaxing Wei, Gilles Larnicol, Lesley Wyborn, Mitch Goldberg, Jörg Schulz, Irina Bastrakova, Anette Ganske, Lucy Bastin, Siri Jodha S. Khalsa, Mingfang Wu, Chung-Lin Shie, Nancy Ritchey, Dave Jones, Ted Habermann, Christina Lief, Iolanda Maggio, Mirko Albani, Shelley Stall, Lihang Zhou, Marie Drévillon, Sarah Champion, C. Sophie Hou, Francisco Doblas-Reyes, Kerstin Lehnert, Erin Robinson, Kaylin Bugbee
Publikováno v:
Data Science Journal, Vol 20, Iss 1 (2021)
Knowledge about the quality of data and metadata is important to support informed decisions on the (re)use of individual datasets and is an essential part of the ecosystem that supports open science. Quality assessments reflect the reliability and us
Externí odkaz:
https://doaj.org/article/5f274ca3244e4fb2bdd03698c02c4dad
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
World Economy. Mar2013, Vol. 36 Issue 3, p331-348. 18p. 8 Charts, 5 Maps.
Autor:
O'Brien, Margaret, Stall, Shelley, Duerr, Ruth, Downs, Robert R., Tarrant, Philip, Antognoli, Erin
Presentation to Research Data Alliance, April 2021, at this session "Stewardship of Indigenous Peoples’ Data: Use Cases for Repositories and Collections",https://www.rd-alliance.org/plenaries/rda-17th-plenary-meeting-edinburgh-virtual/stewardship-i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73902c4d5950a7043a1b31fbbf6c12b5
Publikováno v:
Earth Island Journal. Autumn2002, Vol. 17 Issue 3, p15. 1/5p.
Autor:
Gilles Larnicol, David Moroni, Carlo Lacagnina, Lucy Bastin, Dave Jones, Iolanda Maggio, Mingfang Wu, Lihang Zhou, Yaxing Wei, Marie Drévillon, Shelley Stall, Siri Jodha Singh Khalsa, Ge Peng, Nancy A. Ritchey, Jörg Schulz, Sarah M Champion, Lesley Wyborn, Ivana Ivánová, Francisco J. Doblas-Reyes, Mitch Goldberg, Irina Bastrakova, Chung-Lin Shie, Christina Lief, Mirko Albani, Erin Robinson, Kerstin Lehnert, Kaylin Bugbee, Ted Habermann, C. Sophie Hou, Robert R. Downs, Anette Ganske, Hampapuram Ramapriyan
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Data Science Journal; Vol 20 (2021); 19
Data Science Journal, Vol 20, Iss 1 (2021)
Universitat Politècnica de Catalunya (UPC)
Data Science Journal; Vol 20 (2021); 19
Data Science Journal, Vol 20, Iss 1 (2021)
Knowledge about the quality of data and metadata is important to support informed decisions on the (re)use of individual datasets and is an essential part of the ecosystem that supports open science. Quality assessments reflect the reliability and us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0388d68a740d1220528fff59af9073b2
http://hdl.handle.net/2117/345153
http://hdl.handle.net/2117/345153
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation Volume 82, October 2019, 101887
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
International journal of applied earth observation and geoinformation 82 (2019). doi:10.1016/j.jag.2019.05.020
info:cnr-pdr/source/autori:Turco M.[1], Herrera S.[2], Tourigny E.[1], Chuvieco E.[3], Provenzale A.[4]/titolo:A comparison of remotely-sensed and inventory datasets for burned area in Mediterranean Europe/doi:10.1016%2Fj.jag.2019.05.020/rivista:International journal of applied earth observation and geoinformation/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume:82
International Journal of Applied Earth Observation and Geoinformation
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
International journal of applied earth observation and geoinformation 82 (2019). doi:10.1016/j.jag.2019.05.020
info:cnr-pdr/source/autori:Turco M.[1], Herrera S.[2], Tourigny E.[1], Chuvieco E.[3], Provenzale A.[4]/titolo:A comparison of remotely-sensed and inventory datasets for burned area in Mediterranean Europe/doi:10.1016%2Fj.jag.2019.05.020/rivista:International journal of applied earth observation and geoinformation/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume:82
International Journal of Applied Earth Observation and Geoinformation
Quantitative estimate of observational uncertainty is an essential ingredient to correctly interpret changes in climatic and environmental variables such as wildfires. In this work we compare four state-of-the-art satellite fire products with the gri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::979447254718093ccea16d7e1af3c881
http://arxiv.org/abs/1906.06121
http://arxiv.org/abs/1906.06121
Autor:
Daniel San-Martín, Rodrigo Manzanas, Joaquín Bedia, José M. Gutiérrez, Sixto Herrera, Maialen Iturbide
Publikováno v:
Environmental Modelling and Software, 2019, 119, 445-457
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
Digital.CSIC. Repositorio Institucional del CSIC
instname
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Having an effective way of dealing with data provenance is a necessary condition to ensure reproducibility, helping to build trust and credibility in research outcomes and the data products delivered. METACLIP (METAdata for CLImate Products) is a lan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::920819c0e0a3e1abf47b608b790202db
http://hdl.handle.net/10902/20670
http://hdl.handle.net/10902/20670