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+---
+title: "Ocean Data View (webODV): Soon in Helmholtz Cloud"
+title_image: "odv5-logo.jpg"
+data: 2022-08-17
+authors:
+  - "Mieruch-Schnülle, Sebastian"
+  - jandt
+layout: blogpost
+additional_css:
+  - image-scaling.css
+categories:
+  - Use-Case
+tags:
+  - Earth & Environment
+excerpt: >
+    webODV — Online extraction, analysis and visualization of environmental data.
+    We already introduced the software amongst the “Helmholtz Software Spotlights” series.
+    Now, we are planning to provide private webODV instances as <a href="https://helmholtz.cloud/services">Helmholtz Cloud service</a>,
+    which can be easily accessed online: Users can login via the Helmholtz AAI and will have a workspace to upload private data.
+---
+
+## webODV — Online extraction, analysis and visualization of environmental data
+
+<div class="floating-boxes">
+<div class="image-box align-right">
+<img
+class="right medium nonuniform"
+alt="webODV logo"
+src="{% link assets/img/posts/2022-08-17-odv/webODV_logo_v3_2_trans.jpg %}"
+/>
+</div>
+<div class="text-box" markdown="1">
+[ODV (Ocean Data View)](https://odv.awi.de/) is a widely used software
+package for the analysis, exploration and visualization of
+oceanographic and other environmental data with more than 10,000
+active users.
+It has been developed at
+[Alfred Wegener Institute for Polar and Marine Research (AWI)](https://awi.de).
+</div>
+<div class="text-box" markdown="1">
+ODV is by design a stand-alone software, which can be
+installed on Windows, Mac and Linux operating systems.  To simplify
+the access to ODV and to strengthen collaborations, reproducibility
+and sharing, we have developed an online version of the ODV software
+called [webODV](https://webodv.awi.de/). Up to now, we are operating
+several **static** webODV instances
+([1](https://geotraces.webodv.awi.de/),
+[2](https://mvre.webodv.cloud.awi.de/),
+[3](https://emodnet-chemistry.webodv.awi.de/),
+[4](https://explore.webodv.awi.de/)),
+which provide large datasets for fast
+and easy data extractions, visualizations and analyses online.
+</div>
+<div class="text-box" markdown="1">
+In the framework of HIFIS, we already introduced the software amongst the ["Helmholtz Software Spotlights" series]({% link spotlights.md %}).
+Now, we are planning to provide **private webODV
+instances as [Helmholtz Cloud service](https://helmholtz.cloud/services)**, which can be easily accessed online: Users can login via the
+Helmholtz AAI and will have a workspace to upload private data.
+</div>
+</div>
+<div class="clear"></div>
+
+### Concept
+
+<div class="floating-boxes">
+<div class="image-box align-left">
+<img
+class="left large nonuniform"
+alt="webODV concept"
+src="{% link assets/img/posts/2022-08-17-odv/concept.jpg %}"
+/>
+</div>
+<div class="text-box" markdown="1">
+The webODV application consists of a browser client (mainly based on
+HTML, CSS and JavaScript) and a server, holding the datasets and
+running a special version of the ODV software. The key to
+make webODV truly interactive and as fast and agile as desktop
+software is the usage of the WebSocket technology for communication
+between client and server.
+</div>
+<div class="text-box" markdown="1">
+WebSockets are permanent, bi-directional connections between client
+and server for transmission of arbitrary text or binary messages with
+very small latency.
+</div>
+</div>
+<div class="clear"></div>
+
+### Services
+
+Presently, webODV provides two complementary services. Users select
+between these services after choosing a dataset.
+
+- **Data Extractor**:
+The Data Extraction service provides data sub-setting as easy and fast
+as possible. A pager on the top of the site guides the user through
+the pages, which includes mainly the selection of stations, variables
+and finally the download of the data as text files, ODV collections or
+netCDF files.
+
+
+- **Data Explorer**:
+The Data Exploration service or ODV-online aims to provide the
+look-and-feel and functionality of the desktop ODV in the browser
+window for creating maps, surface plots, section plots, scatter plots,
+filtering data etc. As in the desktop ODV, left mouse clicks on stations or
+data points select these items. Right-clicks bring up context menus
+providing the familiar ODV functionality.
+
+
+### Reproducibility
+FAIR data is one
+of the key concepts of modern and future oriented data science.
+Analyses and visualizations which have been created with ODV-online
+can be saved or exported and provide full reproducibility.
+
+## Examples
+
+{:.treat-as-figure}
+![webODV section-plot]({% link assets/img/posts/2022-08-17-odv/ODV_image.png %})
+Figure 1: A section plot through the Arctic ocean showing the iron concentration. A highly active hydrothermal vent (e.g. Black Smoker, White Smoker) is visible over an undersea mountain ridge.
+
+{:.treat-as-figure}
+![webODV surface-plot]({% link assets/img/posts/2022-08-17-odv/argo.png %})
+Figure 2: Salinity in about 1250 m depth in the North Atlantic clearly showing the high-salinity plume of the Mediterranean outflow.
+
+## Get in contact
+For webODV: [Sebastian Mieruch-Schnülle](mailto:sebastian.mieruch@awi.de), AWI
+
+For HIFIS: [HIFIS Support](mailto:support@hifis.net)
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