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...@@ -3,6 +3,7 @@ layout: spotlight ...@@ -3,6 +3,7 @@ layout: spotlight
# Spotlight list attributes # Spotlight list attributes
name: ODV name: ODV
date_added: 2021-12-01
preview_image: odv_plus/odv5-logo.jpg preview_image: odv_plus/odv5-logo.jpg
excerpt: Ocean Data View (ODV) is a software package for the interactive exploration, analysis and visualization of oceanographic and other geo-referenced environmental data. ODV runs on Windows, MacOS, and Linux. ODV data and view files are platform-independent and can be exchanged between different systems. excerpt: Ocean Data View (ODV) is a software package for the interactive exploration, analysis and visualization of oceanographic and other geo-referenced environmental data. ODV runs on Windows, MacOS, and Linux. ODV data and view files are platform-independent and can be exchanged between different systems.
...@@ -13,9 +14,9 @@ keywords: ...@@ -13,9 +14,9 @@ keywords:
- Data Analysis - Data Analysis
- Data Visualization - Data Visualization
- Environmental Data - Environmental Data
hgf_research_field: Earth and Environment hgf_research_field: Earth & Environment
hgf_centers: hgf_centers:
- AWI Bremerhaven - Alfred Wegener Institute for Polar and Marine Research (AWI)
contributing_organisations: contributing_organisations:
scientific_community: Oceanography / Meteorology / Climate Research scientific_community: Oceanography / Meteorology / Climate Research
impact_on_community: impact_on_community:
...@@ -37,8 +38,9 @@ programming_languages: ...@@ -37,8 +38,9 @@ programming_languages:
- C++ - C++
doi: doi:
funding: funding:
name: AWI / EU Horizon2020 - shortname: AWI
link_as: https://awi.de # Optional link_as: https://awi.de # Optional
- shortname: EU Horizon2020
--- ---
# ODV in a nutshell # ODV in a nutshell
......
---
layout: spotlight
###############################################################################
# Template for Software spotlights
###############################################################################
# Templates starting with a _, e.g. "_template.md" will not be integrated into
# the spotlights.
#
# Optional settings can be left empty.
# -----------------------------------------------------------------------------
# Properties for spotlights list page
# -----------------------------------------------------------------------------
# The name of the software
name: openCARP
# The date when the software was added to the spotlights YYYY-MM-DD
date_added: 2022-06-01
# Small preview image shown at the spotlights list page.
# Note: the path is relative to /assets/img/spotlights/
preview_image: openCARP/openCARP_logo.png
# One or two sentences describing the software
excerpt: >
openCARP is a multiscale cardiac electrophysiology
simulator for in silico experiments ranging from single
heart cells and cardiac tissue to organ models up to the body surface ECG.
# -----------------------------------------------------------------------------
# Properties for individual spotlights page
# -----------------------------------------------------------------------------
# Entries here will be shown in the green box on the right of the screen.
# Jumbotron (optional)
# The path is relative to /assets/img/jumbotrons/
title_image: openCARP.jpg
# Title at the top, inside the title-content-container
title: openCARP
# Add at least one keyword
keywords:
- modeling & simulation
- computational cardiology
- electrophysiology
- in silico trials
# The Helmholtz research field
hgf_research_field: Health
# At least one responsible centre
hgf_centers:
- Karlsruhe Institute of Technology (KIT)
# List of other contributing organisations (optional)
contributing_organisations:
- name: Medical University of Graz
link_as: https://ccl.medunigraz.at
- name: Liryc Bordeaux
link_as: https://www.ihu-liryc.fr/en/research/p/le-pole-modelisation-130750-23-07-2019/
- name: Numericor
link_as: https://www.numericor.at
# List of scientific communities
scientific_community:
- Computational Cardiology
# Impact on community (optional, not implemented yet)
impact_on_community:
# An e-mail address
contact: info@opencarp.org
# Platforms (optional)
# Provide platforms in this format
# - type: TYPE
# link_as: LINK
# Valid TYPES are: webpage, telegram, mailing-list, twitter, gitlab, github
# Mailing lists should be added as "mailto:mailinglist@url.de"
# More types can be implemented by modifying /_layouts/spotlight.html
platforms:
- type: webpage
link_as: https://www.openCARP.org
- type: mailing-list
link_as: https://www.openCARP.org/q2a/
- type: twitter
link_as: https://twitter.com/OpenCarp
- type: gitlab
link_as: https://git.opencarp.org/openCARP
# The software license, please use an SPDX Identifier (https://spdx.org/licenses/) if possible (optional)
license: Academic Public License
# Is the software pricey or free? (optional)
costs:
# What is this software used for in general (e.g. modelling)? (optional, not implemented yet)
software_type:
- Modeling & Simulation
# The applicaiton type (Desktop, Mobile, Web) (optional, not implemented yet)
application_type:
- Desktop
- HPC
# List of programming languages (optional)
programming_languages:
- C++
- Python
# DOI (without URL, just 10.1000/1.0000000 ) (optional)
doi: 10.1016/j.cmpb.2021.106223
# Funding of the software (optional)
funding:
- shortname: DFG
funding_text: German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) -
project 391128822
link_as: https://gepris.dfg.de/gepris/projekt/391128822?language=en
- shortname: EuroHPC
funding_text: European High-Performance Computing Joint Undertaking EuroHPC (JU) under grant agreement No 955495. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and France, Italy, Germany, Austria, Norway, Switzerland.
link_as: http://microcard.eu/index-en.html
---
# openCARP - The open cardiac electrophysiology simulator
openCARP is an open cardiac electrophysiology simulator for in-silico experiments. Its source code is public and the software is freely available for academic purposes. openCARP is easy to use and offers single cell as well as multiscale simulations from ion channel to organ level. Additionally, openCARP includes a wide variety of functions for pre- and post-processing of data as well as visualization. The python-based CARPutils framework enables the user to develop and share simulation pipelines, i.e. automating in-silico experiments including all modeling/simulation steps.
<div class="spotlights-text-image">
<img src="{{ site.directory.images | relative_url}}spotlights/openCARP/openCARP_workflow.png" alt="openCARP workflow">
<span>Overview of typical steps in an advanced cardiac electrophysiology simulation study.</span>
</div>
openCARP offers a wide range of functionality which enables you to create your own in-silico experiments of cardiac electrophysiology. The openCARP ecosystem comprises several components that are visualized below and [briefly introduced here](https://www.openCARP.org/about/opencarp-ecosystem). [This video](https://www.openCARP.org/documentation/video-tutorials#a-tour-through-the-opencarp-org-community-platform) provides a tour through the [openCARP.org](https://opencarp.org/) community platform.
<div class="spotlights-text-image">
<img src="{{ site.directory.images | relative_url}}spotlights/openCARP/openCARP_ecosystem.png" alt="openCARP ecosystem">
<span>The openCARP ecosystem.</span>
</div>
---
layout: spotlight
# Spotlight list attributes
name: OpenGeoSys
preview_image: ogs/ogs_textlogo.png
excerpt: OpenGeoSys (OGS) is a scientific open source project for the development of numerical methods for the simulation of thermo-hydro-mechanical-chemical (THMC) processes in porous and fractured media.
# Title for individual page
title_image: ogs_image.jpg
title: OpenGeoSys
date_added: 2022-06-13
keywords:
- multi-physics
- thmc
- hydrological modeling
- geothermal modeling
- geotechnics
- hpc
- ogs
hgf_research_field: Earth & Environment
hgf_centers:
- Helmholtz Centre for Environmental Research (UFZ)
contributing_organisations:
- name: TU Bergakademie Freiberg
- name: Bundesanstalt für Geowissenschaften und Rohstoffe
- name: TU Dresden
scientific_community:
- Hydrology
- Geothermal energy
- Geotechnics
impact_on_community:
contact: info@opengeosys.org
platforms:
- type: webpage
link_as: https://www.opengeosys.org/
- type: gitlab
link_as: https://gitlab.opengeosys.org/ogs/ogs
- type: github
link_as: https://github.com/ufz/ogs
license: BSD-3-clause
costs: Free
software_type:
- Modelling
- Simulation
application_type:
- Desktop
- HPC
programming_languages:
- C++
- Python
doi: 10.5281/zenodo.6405711
funding:
- shortname: UFZ
link_as: https://www.ufz.de/
---
# OpenGeoSys - Open-source multi-physics
OpenGeoSys (OGS) is a scientific open source project for the development of numerical methods for the simulation of thermo-hydro-mechanical-chemical (THMC) coupled processes in porous and fractured media. OGS has been successfully applied in the fields of regional, contaminant and coastal hydrology, fundamental and geothermal energy systems, geotechnical engineering, energy storage, CO2 sequestration/storage and nuclear waste management and disposal.
<div class="spotlights-text-image">
<img src="{{ site.directory.images | relative_url}}spotlights/ogs/ogs_image.jpg" alt="Schematic of resolution levels, data, processes and states in mHM.">
<span>Scientists discuss the OpenGeoSys simulation results of a geothermal model in the <a href="https://www.ufz.de/vislab">Visualization Centre of the UFZ</a>.</span>
</div>
OpenGeoSys provides a flexible simulation framework, a wide array of pre- and postprocessing tools to implement comprehensive simulation workflows as well as the possibility to utilize HPC environments for very large simulations runs. It is developed as an [open-source community project](https://gitlab.opengeosys.org/ogs/ogs). Limited support is available at the [community forum](https://discourse.opengeosys.org).
...@@ -33,13 +33,16 @@ hgf_research_field: Information ...@@ -33,13 +33,16 @@ hgf_research_field: Information
# At least one responsible centre # At least one responsible centre
hgf_centers: hgf_centers:
- "KIT" - "Karlsruhe Institute of Technology (KIT)"
# List of other contributing organisations (optional) # List of other contributing organisations (optional)
contributing_organisations: contributing_organisations:
- Karlsruhe Institute of Technology (KIT) - name: Karlsruhe Institute of Technology (KIT)
- FZI Research Center for Information Technology link_as: https://www.kit.edu/
- University of Stuttgart - name: FZI Research Center for Information Technology
link_as: https://www.fzi.de/
- name: University of Stuttgart
link_as: https://www.uni-stuttgart.de/
# List of scientific communities # List of scientific communities
scientific_community: scientific_community:
...@@ -82,8 +85,9 @@ doi: ...@@ -82,8 +85,9 @@ doi:
# Funding of the software (optional) # Funding of the software (optional)
funding: funding:
name: KIT, DFG, State of Baden-Württemberg - shortname: KIT
link_as: # Link (optional) - shortname: DFG
- shortname: State of Baden-Württemberg
--- ---
# Palladio # Palladio
......
...@@ -3,12 +3,14 @@ layout: spotlight ...@@ -3,12 +3,14 @@ layout: spotlight
# Spotlight list attributes # Spotlight list attributes
name: PIConGPU name: PIConGPU
date_added: 2022-02-03
preview_image: picongpu/picongpu-logo.png preview_image: picongpu/picongpu-logo.png
excerpt: PIConGPU is a relativistic Particle-in-Cell code running on graphic processing units as well as regular multi-core processors. It is Open Source und is freely available for download. PIConGPU is developed and maintained by the Computational Radiation Physics Group at the Institute for Radiation Physics at HZDR in close collaboration with the Center for Advanced Systems Understanding (CASUS). excerpt: PIConGPU is a relativistic Particle-in-Cell code running on graphic processing units as well as regular multi-core processors. It is Open Source und is freely available for download. PIConGPU is developed and maintained by the Computational Radiation Physics Group at the Institute for Radiation Physics at HZDR in close collaboration with the Center for Advanced Systems Understanding (CASUS).
# Title for individual page # Title for individual page
title_image: title_image:
title: PIConGPU - A Heteregeneous Particle-in-Cell Code title: PIConGPU - A Heteregeneous Particle-in-Cell Code
date_added: 2022-02-03
keywords: keywords:
- GPU - GPU
- CPU - CPU
...@@ -16,11 +18,11 @@ keywords: ...@@ -16,11 +18,11 @@ keywords:
- Simulation - Simulation
hgf_research_field: Matter hgf_research_field: Matter
hgf_centers: hgf_centers:
- HZDR - Helmholtz-Zentrum Dresden-Rossendorf (HZDR)
contributing_organisations: contributing_organisations:
- Center for Advanced Systems Understanding - name: Center for Advanced Systems Understanding
- University of Delaware - name: University of Delaware
- Oak Ridge National Laboratory - name: Oak Ridge National Laboratory
scientific_community: scientific_community:
- Matter / Photon Science - Matter / Photon Science
impact_on_community: impact_on_community:
...@@ -40,10 +42,10 @@ programming_languages: ...@@ -40,10 +42,10 @@ programming_languages:
- C++ - C++
doi: 10.1109/TPS.2010.2064310 doi: 10.1109/TPS.2010.2064310
funding: funding:
name: HZDR, CASUS, ORNL CAAR project - shortname: HZDR, CASUS, ORNL CAAR project
--- ---
# PIConGPU # PIConGPU
[PIConGPU](https://github.com/ComputationalRadiationPhysics/picongpu) is an extremely scalable and platform portable application for particle-in-cell simulations. While we mainly use it for studying laser-plasma interactions, it has also been used for astrophysics studies of the Kelvin-Helmholtz-instability. [PIConGPU](https://github.com/ComputationalRadiationPhysics/picongpu) is an extremely scalable and platform portable application for particle-in-cell simulations. While we mainly use it for studying laser-plasma interactions, it has also been used for astrophysics studies of the Kelvin-Helmholtz-instability.
......
...@@ -3,6 +3,7 @@ layout: spotlight ...@@ -3,6 +3,7 @@ layout: spotlight
# Spotlight list attributes # Spotlight list attributes
name: RCE name: RCE
date_added: 2021-11-18
preview_image: rce/rce-logo.png preview_image: rce/rce-logo.png
excerpt: RCE is a distributed integration environment for scientists and engineers to analyze, optimize, and design complex systems like aircraft, ships, or satellites. excerpt: RCE is a distributed integration environment for scientists and engineers to analyze, optimize, and design complex systems like aircraft, ships, or satellites.
...@@ -14,7 +15,7 @@ keywords: ...@@ -14,7 +15,7 @@ keywords:
- Workflow Execution - Workflow Execution
- Collaboration - Collaboration
- Distributed Execution - Distributed Execution
hgf_research_field: Aeronautics, space, and transport hgf_research_field: Aeronautics, Space and Transport
hgf_centers: hgf_centers:
- German Aerospace Center (DLR) - German Aerospace Center (DLR)
contributing_organisations: contributing_organisations:
...@@ -40,7 +41,7 @@ programming_languages: ...@@ -40,7 +41,7 @@ programming_languages:
- Java - Java
doi: 10.5281/zenodo.3691674 doi: 10.5281/zenodo.3691674
funding: funding:
name: Several DLR, BMBF, BMWi, and EU projects - shortname: Several DLR, BMBF, BMWi, and EU projects
--- ---
# RCE in a nutshell # RCE in a nutshell
......
...@@ -3,6 +3,7 @@ layout: spotlight ...@@ -3,6 +3,7 @@ layout: spotlight
# Spotlight list attributes # Spotlight list attributes
name: SaQC name: SaQC
date_added: 2022-01-17
preview_image: saqc/SaQC-Image.png preview_image: saqc/SaQC-Image.png
excerpt: A consistent, extensible, easy-to-use tool/framework for reproducible quality control of time series data. excerpt: A consistent, extensible, easy-to-use tool/framework for reproducible quality control of time series data.
...@@ -13,13 +14,13 @@ keywords: ...@@ -13,13 +14,13 @@ keywords:
- Time series - Time series
- Quality control - Quality control
- Data analysis - Data analysis
hgf_research_field: Earth and Environment hgf_research_field: Earth & Environment
hgf_centers: hgf_centers:
- Helmholtz Centre for Environmental Research (UFZ) - Helmholtz Centre for Environmental Research (UFZ)
contributing_organisations: contributing_organisations:
scientific_community: scientific_community:
impact_on_community: impact_on_community:
contact: contact:
- david.schaefer@ufz.de - david.schaefer@ufz.de
platforms: platforms:
- type: webpage - type: webpage
...@@ -39,8 +40,8 @@ programming_languages: ...@@ -39,8 +40,8 @@ programming_languages:
- Python - Python
doi: 10.5281/zenodo.5888548 doi: 10.5281/zenodo.5888548
funding: funding:
name: UFZ - shortname: UFZ
link_as: https://www.ufz.de link_as: https://www.ufz.de
--- ---
# SaQC in a nutshell # SaQC in a nutshell
......
---
layout: spotlight
# -----------------------------------------------------------------------------
# Properties for spotlights list page
# -----------------------------------------------------------------------------
# The name of the software
name: TRIDEC Cloud
date_added: 2022-06-13
# Small preview image shown at the spotlights list page.
# Note: the path is relative to /assets/img/spotlights/
preview_image: trideccloud/TRIDEC-Cloud-Logo-250x125.png
# One or two sentences describing the software
excerpt: TRIDEC Cloud merges several complementary external and in-house cloud-based services into one platform for automated background computation, for web-mapping of hazard specific geospatial data, and for serving relevant functionality to handle, share, and communicate threat specific information in a collaborative and distributed environment.
# -----------------------------------------------------------------------------
# Properties for individual spotlights page
# -----------------------------------------------------------------------------
# Entries here will be shown in the green box on the right of the screen.
# Jumbotron (optional)
# The path is relative to /assets/img/jumbotrons/
title_image: spotlight_tridec.jpg
# Title at the top, inside the title-content-container
title: TRIDEC Cloud & GeoPeril
# Add at least one keyword
keywords:
- tsunami
- early warning
- simulation system
- scenario computation
- impact analysis
- GPU
- SaaS
- virtual scenario training
# The Helmholtz research field
hgf_research_field: Earth & Environment
# At least one responsible centre
hgf_centers:
- Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences
# List of other contributing organisations (optional)
contributing_organisations:
# List of scientific communities
scientific_community:
- Simulation and Modelling
# Impact on community (optional, not implemented yet)
impact_on_community:
# An e-mail address
contact: tridec-cloud-support@gfz-potsdam.de
# Platforms (optional)
# Provide platforms in this format
# - type: TYPE
# link_as: LINK
# Valid TYPES are: webpage, telegram, mailing-list, twitter, gitlab, github
# Mailing lists should be added as "mailto:mailinglist@url.de"
# More types can be implemented by modifying /_layouts/spotlight.html
platforms:
- type: webpage
link_as: https://www.gfz-potsdam.de/en/software/tsunami-early-warning-tridec-cloud-geoperil
- type: github
link_as: https://github.com/locationtech/geoperil
- type: webpage
link_as: https://trideccloud.gfz-potsdam.de
# The software license, please use an SPDX Identifier (https://spdx.org/licenses/) if possible (optional)
license: Apache-2.0
# Is the software pricey or free? (optional)
costs: Access available on request
# What is this software used for in general (e.g. modelling)? (optional, not implemented yet)
software_type:
-
# The applicaiton type (Desktop, Mobile, Web) (optional, not implemented yet)
application_type:
- Web
# List of programming languages (optional)
programming_languages:
- Python, JavaScript/TypeScript
# DOI (without URL, just 10.1000/1.0000000 ) (optional)
doi:
# Funding of the software (optional)
funding:
- shortname: GFZ in-house
- shortname: Helmholtz Enterprise
---
# TRIDEC Cloud & GeoPeril
In times of cloud computing and ubiquitous computing the use of state of the art technology concepts and paradigms have to be considered even for early warning and fast response systems. Based on the experiences and the knowledge gained in three research projects new technologies are exploited to implement a cloudbased and web-based platform to open up new prospects for tsunami early warning and mitigation systems (TEWS).
**TRIDEC Cloud** merges several complementary external and in-house cloud-based services into one platform for automated background computation with graphics processing units (GPU), for web-mapping of hazard specific geospatial data, and for serving relevant functionality to handle, share, and communicate threat specific information in a collaborative and distributed environment.
**GeoPeril** is the framework of TRIDEC Cloud. This implementation of an early warning system for tsunamis includes, among other things, the harvesting of earthquake events from catalogs or APIs, the automatic execution of simulations for events with given thresholds, remote execution of simulations with [EasyWave](https://git.gfz-potsdam.de/id2/geoperil/easyWave) or HySEA and the modifying of earthquake parameters or creating fictional earthquakes to simulate a scenario.
## User group
The platform is meant for researchers and authorities around the world to make use of cloud-based GPU computation, to analyze tsunamigenic events, and react upon the computed situation picture with a web-based GUI in a web browser at remote sites.
Features
- Global coverage, and applicable for any region in the world
- Workflow implemented following operators’ or users’ needs, even in stressful situation
- Integrated threat management & tracing of information, activities, and sequences related to an event
- Integration of different observational networks and services
- Integration of different computation engines, i.e. simulation software and hardware (CPU, GPU)
- Provision of different input data for computations, e.g. different resolutions
- Generation of pre-defined, internationally agreed messages with dynamic content provided by observations and computations
- Dissemination via E-mail, Fax, FTP/GTS, SMS, Cloud Messages, Shared Maps
<div class="spotlights-text-image">
<img width="500" alt="Screenshot of the TRIDEC Cloud website" src="{{ site.directory.images | relative_url}}spotlights/trideccloud/TRIDEC-1.jpg">
<span>Using TRIDEC Cloud to monitor possible tsunamis (early warning).</span>
</div>
In monitoring mode a list displays earthquake events with information on magnitude, location, time, and depth, as well as dip, strike, and rake. An earthquake classification is provided based on a simplified decision matrix and a tsunami prediction is available for critically classified earthquakes based on an attached simulation either computed automatically or manually in the background. Information on earthquakes is complemented by historic and real-time sea level data. The map displays the position of the sea level stations and small diagrams below the map display the measurements for each sea level station.
<div class="spotlights-text-image">
<img width="500" alt="Screenshot about sending information about a tsunami with TRIDEC Cloud" src="{{ site.directory.images | relative_url}}spotlights/trideccloud/TRIDEC-2.jpg">
<span>Sending information about a tsunami with TRIDEC Cloud.</span>
</div>
Interactive diagrams allow a detailed analysis and picking of values that are available for automated integration in warning messages. The generation of warning messages is based on internationally agreed message structures and includes static and dynamic information based on earthquake information, instant computations of tsunami simulations, and actual measurements. Generated messages are served for review, modification, and addressing in one simple form for dissemination.
The exercise and training mode enables training and exercises with virtual scenarios. This mode disconnects real world systems and connects with a virtual environment that receives virtual earthquake information and virtual sea level data re-played by a scenario player. The exercise and training mode has been used in an opportunity provided by the international NEAMWave14 tsunami exercise to test the TRIDEC Cloud as a collaborative activity based on previous partnerships and commitments at the European scale (Hammitzsch et al. 2014). For the NEAMWave21 exercise the modelling of the KOERI-NOA scenario had been done by KOERI through the easyWave tsunami modelling tool embedded in the TRIDEC Cloud. During the conduct of the NEAMWave21 exercise, TRIDEC Cloud was also utilized by KOERI for the real-time simulation of the sea-level readings.
<div class="spotlights-text-image">
<iframe width="560" height="315" src="https://www.youtube.com/embed/CaRXYR4PE8s" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
</div>
...@@ -54,11 +54,28 @@ ...@@ -54,11 +54,28 @@
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border: 1px solid #ced4da;
border-radius: .25rem;
transition: border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out;
padding: .25rem;
}
article.new .badge {
position: absolute;
top: 0px;
right: 0px;
z-index: 1;
overflow: hidden;
width: 80px;
height: 80px;
text-align: center;
}
article.new .badge span {
display: block;
position: absolute;
bottom: 40px;
left: 3px;
width: 120px;
line-height: 30px;
transform: rotate(45deg);
-webkit-transform: rotate(45deg);
text-align: center;
color: #495e12;
background-color: #e8f0d3;
}
assets/img/jumbotrons/ogs_image.jpg

240 KiB

assets/img/jumbotrons/openCARP.jpg

271 KiB

assets/img/jumbotrons/spotlight_tridec.jpg

324 KiB

assets/img/spotlights/ogs/ogs_image.jpg

240 KiB

assets/img/spotlights/ogs/ogs_textlogo.png

44.5 KiB

assets/img/spotlights/openCARP/openCARP_ecosystem.png

37.3 KiB

assets/img/spotlights/openCARP/openCARP_logo.png

50.4 KiB

assets/img/spotlights/openCARP/openCARP_workflow.png

196 KiB

assets/img/spotlights/trideccloud/TRIDEC-1.jpg

182 KiB

assets/img/spotlights/trideccloud/TRIDEC-2.jpg

108 KiB

assets/img/spotlights/trideccloud/TRIDEC-Cloud-Logo-250x125.png

4.93 KiB