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Enregistrement W4383067240 · doi:10.3389/fmars.2023.1221674

Editorial: The discovery of the unknown planet: the ocean

2023· editorial· en· W4383067240 sur OpenAlexaboutno aff
Paolo Favali, Juan José Dañobeitia, Bruce M. Howe, Henry A. Ruhl

Notice bibliographique

RevueFrontiers in Marine Science · 2023
Typeeditorial
Langueen
DomaineEarth and Planetary Sciences
ThématiqueMarine Biology and Ecology Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPlanetAstrobiologyOceanographyData scienceGeographyHistoryGeologyComputer scienceAstronomyBiologyPhysics

Résumé

récupéré en direct d'OpenAlex

Seventy per cent of the Earth's volcanism occurs on the ocean floor, which together with large seismic events and submarine landslides, are the main sources of earthquakes and tsunamis causing catastrophic damage as well as having a high socio-economic impact. As a result, there is great interest to both explore and understand the biogeochemical processes within the ocean. This also involves research into what has been an unexplored area of the Earth, the 'deep ocean'. As part of this desire to understand all aspects of the ocean, the United Nations (UN) launched the '2021-2030 Decade of Ocean Science for Sustainable Development'. This initiative and associated challenges are expected to mobilize the global ocean community to provide answers and possible solutions that will ensure the sustainability and protection of the seas and coastlines of the world.In this special issue we have papers that discuss: innovative concept of SMART 4 telecommunication cables which house various oceanographic and seismic sensors to improve real-time knowledge of many natural phenomena, and are an improvement on the present tsunami early warning systems. ' Data management aspects, such as the Oceans 2.0/3.0 data management and archival system for the internet-connected ocean implemented in Canada. Organizational Perspectives, discussing the collaborative efforts required from local/regional and global communities. An example is the role of marine infrastructures in the European marine observation landscape that stresses the importance of an integration process with co-design and co-development as central features.The advantage of a modular type of platform, including diverse suites of underwater sensors, like EGIM 2 is clear; these can be further optimized using artificial intelligence. This scientific work stresses the importance of continuous monitoring from smaller observatories dedicated specifically to the monitoring of volcanoes and other earth or ocean features of interest. Some examples of this have already started at Santorini, and other areas of biodiversity observations, where it is seen as both feasible and complementary to the ocean observations that include regional, cabled observatories. These include, for example, ONC 5 in Canada, EMSO 1 in Europe, DONET 6 in Japan, and some variants of SMART 4 cables on a global scale.Expanding deep-sea observations and broadening underwater installations that include dedicated infrastructures, special laboratories and multi-platform observatories is the way forward to a better understanding of our oceans. This has been a long-term European commitment effort led by EMSO ERIC 7 involving a number of European countries.The research infrastructure for deep ocean fixed observations plays a key role in obtaining the requisite scientific understanding, because it is the infrastructure and platforms, with the associated operations and maintenance that drives the cost. There already exists the capability to collect long-term time series and spatial data from the surface, through the water column and down to the deep seafloor. This infrastructure with the sensing can make fundamental and unique contributions in the understanding and promotion of the necessity of a multidisciplinary approach that includes all parties that use, utilise, develop and depend on the oceans of the world.There are many global scientific and technological infrastructure programmes that already monitor and study the ocean. providing a better understanding of how it plays its part in all aspects of life, whether in the sea or on land. The aims of many of these programmes are already perfectly aligned with the key priorities of the UN Agenda 2030, European Commission (EC) Horizon Europe framework programme (2021)(2022)(2023)(2024)(2025)(2026)(2027), and strongly Nonetheless, what has been outlined above requires an effective and efficient data management that will enable and ensure quality control on a massive scale as well as disseminating this underwater data through a transparent and known management, providing a clearer 4D view of the ocean. This will result in a better understanding of the complex natural and anthropogenic phenomena taking place in the deep ocean that ultimately affects climate, coastal and open sea habitats, natural resources, health and ocean sustainability.The work and research already completed by the bodies mentioned, indicate that the science, the technology and a greater will from government bodies provide an excellent opportunity to more fully understand the waters that cover the globe, and where encouraged by SDGs 9 It will be possible to foster the 'blue economy' which is based on greater knowledge and understanding and a friendlier use of the oceans.This research topic, within the sections 'Deep-Sea Environments and Ecology', and 'Ocean Observation', consequently highlights the benefits of having an integrated and interdisciplinary approach. The papers have in accordance with this included local and global observations from some of the main worldwide actors in the field of better understanding and protecting the oceans of the world. The results of this have produced themes that are all in agreement and need to be addressed. These are: Highlighting the application of international and European ocean observing strategies. Showcasing recent and on-going infrastructure program developments. Sharing scientific and technology development results that advance integrative assessment. Realising use of best practices, data quality control and FAIR 10 principles. Documenting data life cycles -origination to delivering analysed information to users. Synthesising perspectives on the present and future.This special issue has brought together original research along with technological papers, perspectives, and reviews that focus on delivering integrated ocean observing information to allow for sustainability from the coast to the deep sea. It attracted 16 contributions and involved 178 authors, these can be found in the following link: https://www.frontiersin.org/research-topics/18542/the-discovery-of-the-unknown-planet-theocean.The response to 'The Discovery of the Unknown Planet: The Ocean' from within the scientific world and those working in other areas has been extremely positive and it has had a very significant impact with the total number of views presently that of over 38,000.8 Joint Programming Initiative 9 Sustainable Development Goals 10 Findable, Accessible, Interoperable and Reusable

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,019
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,024
Score d'incertitude au seuil0,081

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,019
Méta-épidémiologie (sens strict)0,0060,002
Méta-épidémiologie (sens large)0,0050,004
Bibliométrie0,0040,002
Études des sciences et des technologies0,0040,004
Communication savante0,0090,008
Science ouverte0,0060,002
Intégrité de la recherche0,0190,024
Charge utile insuffisante (le modèle a refusé de juger)0,0240,024

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,006
Tête enseignante GPT0,228
Écart entre enseignants0,222 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2023
Routes d'admission1
Résumé présentoui

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