Aquatic Data is an open access journal that publishes peer-reviewed articles describing research data from fundamental and applied research, as well as citizens' involvement in the field of aquatic sciences.We publish three novel publication types:Data in Context Articles are the perfect companion to books, journal articles, presentations, or posters that contain research data. They are short and include a preformatted table that characterises your data. Please use our https://www.elsevier.com/\_\_data/assets/file/0004/222556/Aquatic-Data-in-Context-Article-template\_20161113.zipData in Context Article template;Data in Focus Articles bring together and harmonise collections of research data from already published and unpublished sources. They are more detailed and include statistical distributions of data. Please use our https://www.elsevier.com/\_\_data/assets/file/0008/222578/Aquatic-Data-in-Focus-Article-template2\_20161113.zipData in Focus Article template;Data Perspective Articles highlight the latest initiatives, tools and opportunities that may improve data sharing, discovery and reuse in aquatic sciences. They are short review type articles. Please use our https://www.elsevier.com/\_\_data/assets/file/0006/222567/Aquatic-Data-in-Perspective-Article-template\_20161113.docxData Perspective Article template.Aquatic Data Articles follow Creative Commons user licenses CC-BY 4.0 permitting third party (re)use (see https://www.elsevier.com/openaccesslicenseshttps://www.elsevier.com/openaccesslicenses).Aquatic Data has an open access fee, also known as article publishing charge (APC), which needs to be paid by the authors or on their behalf e.g. by their research funder or institution. The discounted fee per Open Access Article for 2016 and 2017 is 500 US Dollars per Article.Research data refers to the results of observations or experimentation that are necessary to validate research findings, including raw and processed data, video, code, software, algorithms, protocols, and methods.Aquatic Data is the place to publish your research data describing:Pelagic, deep sea, benthic, coastal and shore habitats;Oceanic, shelf, estuarine, brackish, freshwater river and lake systems;Interactions with ice, land and atmosphere systems, and global climate.Before submitting your article, you must deposit your data in a free-to-use, open access repository. Elsevier Database Linking services are available for supported data repositories, offering easy access to data from your published article online. Aquatic Data recommends the following data archives:Mendeley offers basic curation services for any type of research data. You can also deposit your data at the same time as your article using Elsevier's integrated Mendeley Data upload system. Your data can be deposited privately at Mendeley. Private access will be given to the reviewers of the article and your data will become publicly available when the article is published.PANGAEA offers advanced curation services for environmental data.INSDC offers advanced curation services for nucleotide sequence data.Contextual data improves sharing, discovery and reuse of your research data. Aquatic Data enriches them with FAIR (Findable, Accessible, Interoperable, Reusable) contextual data. The Article templates include an Excel file that we ask you to fill as best as you can and to submit along with the manuscript. The editorial team will assist you in improving your contextual data and will generate corresponding tables online. The costs of this service are currently included in the open Access fee.Contextual Data comprises the following 7 components:Environments provide a list of geographic places, political and economic zones, ecosystems, habitats, and any environmental features that relate to your data. It includes links to quality-controlled terms in gazetteers and ontologies;Events provide spatial and/or temporal references for any field and/or experimental work. The granularity of an event can range from an entire study/experiment to each deployment/use of an instrument over the course of a study. Events with different granularity can be organised in a hierarchical way as needed;Methods provide a list of sampling and/or experimental protocols, instrumentation, formulae, equations, codes, or models used in your work. It includes links to methods published in specialised journals such as MethodsX and SoftwareX or registered in online resources such as GitHub and Protocols.io;Samples provide a list of physical samples used in your work, including those used-up during analyses and those preserved in collections. It includes links to sample descriptors registered in online resources;Entities provide a list of chemical and biological entities described in your work (e.g. proteins, organisms), including "sub" entities (e.g. molecular bonds, body parts) and "super" entities (e.g. "algae", "colony"). It includes links to quality-controlled terms in online resources such as chemical registers and taxonomic registers;Qualities provide a list of qualitative parameters (e.g. colour, shape, treatment) and their values used in your work, including traits (e.g. blue, red, round, elongated), and natural or artificial conditions used during experiments (e.g. elevated CO2 levels). It provides links to quality-controlled terms in morphological traits data bases and ontologies;Quantities provide a list of quantitative parameters/variables used in your work, detailing their quantity kind, name, abbreviation, dimension, units, quartiles, accuracy and precision. It includes links to quality-controlled terms in online ontologies.Elsevier's Content Innovation apps allows you to enrich the content of your online article. Aquatic Data encourages you to use the following apps:AudioSlides are brief, webinar-style presentations that are shown next to the online article on ScienceDirect. This gives authors the opportunity to summarize their research in their own words and to help readers understand what the paper is about;Interactive Map Viewer (Google) provides annotated geospatial information on an interactive (Google) map. This is enabled by listing events in the Data in Context Section of the manuscript. You can also include KML or KMZ files with your article submission;Interactive Graphic Viewer (.csv) provides easy visualisation and access to data used in online Figures. Readers can switch between plots and table view, download data or hover over data points to see the value. This is enabled when your data is archived in .csv or tab-delimited format;Interactive Graphic Viewer (MATLAB) provides easy visualisation and access to figures created in MATLAB. This is enabled by submitting figures in .fig format with your article.Interactive 2D Viewer The award winning Virtual Microscope lets your reader explore high resolution microscopic images that are featured in your article. This is enabled by submitting 2D images with your article;Interactive 3D Viewer lets your reader explore high resolution 3D images that are featured in your article. This is enabled by submitting 3D images with your article.
Ocean Modelling is an international journal that highlights the significant findings and breakthroughs in all aspects of ocean modelling research to support the advancement of ocean sciences.Ocean Modelling welcomes submissions in various forms of mechanism analysis, laboratory experiments, ocean model development, improvements and applications, as well as model-observation synergies. In particular, ocean model applications at different scales that aim at understanding the ocean and Earth system and its coupling to biological, geological and chemical systems are welcome. Special attention can be also given to interdisciplinary contributions focusing on interactions between physics, biology and chemistry, cross-scale processes, and machine learning.The journal publishes topics including:Models of ocean circulation, surface waves, tides and sea ice, marine ecosystems, biogeochemical processes, sediment processes, and coastal morphology.Earth system models, ocean-atmosphere coupled models, and climate models with a special emphasis on the role of the ocean.Innovative modelling, combined with observational, theoretical studies concerning physical and biogeochemical processes in different time and space scales.Technologies associated with ocean model development, (e.g., model framework, coupler, data assimilation, high-performance computing, and artificial intelligence).Simulation, prediction and response strategy of ocean and climate disasters like tsunamis, flooding, volcano eruptions, float stone, marine heat waves, oil spill movements, etc.Improved understanding of the variability in the ocean and its past, present and future role in the wider climate system using models and observations.Topical Collections will be envisaged for timely topics, related to ocean modelling, to promote key advances in specific research areas in ocean modelling and to bring together high-quality contributions in the collection's domain. Ocean Modelling welcome submissions to the 3 ongoing Topical Collections: Cross-Scale Processes in Ocean Modelling, Artificial Intelligence (AI) Methods and Applications for Ocean Modelling, Advancements in Earth System Modelling with Ocean Components.Ocean Modelling publishes 12 issues per year with 4 categories of articles, including:1. Research Papers form the core of the journal, with a typical length of 6000 words and a maximum of 10000 words.2. Reviews are between 8000 and 20000 words, on topics cross traditional lines.3. Short Communications are short research papers, with a typical length of 2000 words, and a maximum of 5000 words, 3 Figures or Tables.4. Perspective papers discuss about subjective positions, viewpoints or new concepts within less than 2000 words.
