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Use case odv

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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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