Training materials that help end-users use the thematic services that are on-boarded in the NI4OS-Europe pre-production environment

IoT Cloud Platform is a cloud application for allowing users to collect data from internet-connected hardware, and visualise it in near real-time. Collected data will be able to be analysed online in Octave or R programming language (discovering relationships, patterns and trends in data), whereby users will be able to use a pre-written algorithm or develop a new code directly in the web browser. IoT platform will support a variety of hardware devices such as Arduino and Raspberry Pi platforms, mobile devices, PCs, etc. Besides the web interface, an API will be provided, so that the data can be uploaded, stored and accessed by a third party.

For more information please visit the NI4OS-Europe service catalogue.

Title: IoT Cloud Platform
Authors: Kocan, Enis, Zečević, Žarko
URL to Resource: https://training.ni4os.eu/course/view.php?id=135
Resource URL Type: URL
Description: IoT Cloud Platform is a cloud application for allowing users to collect data from internet-connected hardware, and visualise it in near real-time. Collected data will be able to be analysed online in Octave or R programming language (discovering relationships, patterns and trends in data), whereby users will be able to use a pre-written algorithm or develop a new code directly in the web browser. IoT platform will support a variety of hardware devices such as Arduino and Raspberry Pi platforms, mobile devices, PCs, etc. Besides the web interface, an API will be provided, so that the data can be uploaded, stored and accessed by a third party. For more information please visit the NI4OS-Europe service catalogue.
License: https://creativecommons.org/licenses/by/4.0/
Access Rights: Open Access
Version Date(s): Sunday, 4 December 2022, 12:00 AM
Learning Outcome(s): IoT Cloud Platform is a cloud application for allowing users to collect data from internet-connected hardware, and visualise it in near real-time. Collected data will be able to be analysed online in Octave or R programming language (discovering relationships, patterns and trends in data), whereby users will be able to use a pre-written algorithm or develop a new code directly in the web browser. IoT platform will support a variety of hardware devices such as Arduino and Raspberry Pi platforms, mobile devices, PCs, etc. Besides the web interface, an API will be provided, so that the data can be uploaded, stored and accessed by a third party. For more information please visit the NI4OS-Europe service catalogue.
Expertise Level: All
Format: scorm
Language: en
Geographical Availability: World
Scientific Domain: Generic
Scientific Subdomain: Generic

OMApp is a cloud application for automatic image mosaicking and georeferencing. The application is designed to support several users, whereby every user is able to upload a set of captured images via a web interface, begin their processing and make an overview of already created maps. OMApp uses numerous open source image processing tools and libraries, where the most computationally demanding among them are able to perform multi-core parallel processing, which provides better usage of the cloud resources.

For more information please visit the NI4OS-Europe service catalogue.

Title: Cloud application for automatic image mosaicking and georeferencing
Authors: Kocan, Enis, Zečević, Žarko
URL to Resource: https://training.ni4os.eu/course/view.php?id=133
Resource URL Type: URL
Description: OMApp is a cloud application for automatic image mosaicking and georeferencing. The application is designed to support several users, whereby every user is able to upload a set of captured images via a web interface, begin their processing and make an overview of already created maps. OMApp uses numerous open source image processing tools and libraries, where the most computationally demanding among them are able to perform multi-core parallel processing, which provides better usage of the cloud resources. For more information please visit the NI4OS-Europe service catalogue.
License: https://creativecommons.org/licenses/by/4.0/
Access Rights: Open Access
Version Date(s): Friday, 30 December 2022, 12:00 AM
Learning Resource Type: Other, Other
Learning Outcome(s): OMApp is a cloud application for automatic image mosaicking and georeferencing. The application is designed to support several users, whereby every user is able to upload a set of captured images via a web interface, begin their processing and make an overview of already created maps. OMApp uses numerous open source image processing tools and libraries, where the most computationally demanding among them are able to perform multi-core parallel processing, which provides better usage of the cloud resources. For more information please visit the NI4OS-Europe service catalogue.
Expertise Level: All
Format: scorm
Language: en
Geographical Availability: World
Scientific Domain: Generic
Scientific Subdomain: Generic

REVIGO is a Web server that summarizes long, unintelligible lists of Gene Ontology (GO) terms by finding a representative subset of the terms using a simple clustering algorithm that relies on semantic similarity measures. Furthermore, REVIGO visualizes this non-redundant GO term set in multiple ways to assist in interpretation: multidimensional scaling and graph-based visualizations accurately render the subdivisions and the semantic relationships in the data, while treemaps and tag clouds are also offered as alternative views.

For more information please visit the NI4OS-Europe service catalogue.

Title: Reduce and Visualize Gene Ontology
Authors: Smuc, Tomislav
URL to Resource: https://training.ni4os.eu/course/view.php?id=125
Resource URL Type: URL
Description: REVIGO is a Web server that summarizes long, unintelligible lists of Gene Ontology (GO) terms by finding a representative subset of the terms using a simple clustering algorithm that relies on semantic similarity measures. Furthermore, REVIGO visualizes this non-redundant GO term set in multiple ways to assist in interpretation: multidimensional scaling and graph-based visualizations accurately render the subdivisions and the semantic relationships in the data, while treemaps and tag clouds are also offered as alternative views.For more information please visit the NI4OS-Europe service catalogue.
Keywords: EOSC, thematic, REVIGO, gene, ontology, visualisation
License: https://creativecommons.org/licenses/by/4.0/
Access Rights: Open Access
Version Date(s): Thursday, 17 March 2022, 11:47 AM
Learning Resource Type: Other, Other
Learning Outcome(s): REVIGO is a Web server that summarizes long, unintelligible lists of Gene Ontology (GO) terms by finding a representative subset of the terms using a simple clustering algorithm that relies on semantic similarity measures. Furthermore, REVIGO visualizes this non-redundant GO term set in multiple ways to assist in interpretation: multidimensional scaling and graph-based visualizations accurately render the subdivisions and the semantic relationships in the data, while treemaps and tag clouds are also offered as alternative views. For more information please visit the NI4OS-Europe service catalogue.
Expertise Level: All
Format: scorm
Language: en
Geographical Availability: World
Scientific Domain: Generic
Scientific Subdomain: Generic

Training materials for the Air Pollution Prediction service.

The service is a simulation system for generation of prediction of air pollution levels based on WRF-Chem software. The outputs are hourly levels of air pollution for PM10, PM2.5, NO and SO2.

For more information please visit the NI4OS-Europe service catalogue.

Title: Air Pollution Prediction
Authors: Jakimovski, Boro
URL to Resource: https://training.ni4os.eu/course/view.php?id=111
Resource URL Type: URL
Description: Training materials for the Air Pollution Prediction service. The service is a simulation system for generation of prediction of air pollution levels based on WRF-Chem software. The outputs are hourly levels of air pollution for PM10, PM2.5, NO and SO2. For more information please visit the NI4OS-Europe service catalogue.
Keywords: thematic, air pollution, air quality, EOSC
License: https://creativecommons.org/licenses/by/4.0/
Access Rights: Open Access
Version Date(s): Thursday, 17 March 2022, 11:47 AM
Learning Resource Type: Other, Other
Learning Outcome(s): Training materials for the Air Pollution Prediction service. The service is a simulation system for generation of prediction of air pollution levels based on WRF-Chem software. The outputs are hourly levels of air pollution for PM10, PM2.5, NO and SO2. For more information please visit the NI4OS-Europe service catalogue.
Expertise Level: All
Format: scorm
Language: en
Geographical Availability: World
Scientific Domain: Generic
Scientific Subdomain: Generic

Training materials that help you learn what is and how to use the DREAMM service.

DREAMM is a novel machine learning tool that predicts the protein-membrane interfaces of peripheral membrane protein, and optionally predicts binding sites near the predicted membrane-penetrating residues in protein conformational ensembles. As an output, the user can retrieve the membrane-penetrating residues in a .csv file and if the user's choice was to predict binding sites, a .zip file will be downloaded including the above mentioned .csv file, the binding pocket predictions, the visualizations, and summarized the binding site clustering results.

More information about the service can be found in the NI4OS Service Catalogue.

After completing this course, you will:

  • understand the benefits of the service,
  • be familiar with the main functions of the service.
Title: DREAMM
Authors: Cournia, Zoe
URL to Resource: https://training.ni4os.eu/course/view.php?id=110
Resource URL Type: URL
Description: Training materials that help you learn what is and how to use the DREAMM service. DREAMM is a novel machine learning tool that predicts the protein-membrane interfaces of peripheral membrane protein, and optionally predicts binding sites near the predicted membrane-penetrating residues in protein conformational ensembles. As an output, the user can retrieve the membrane-penetrating residues in a .csv file and if the user's choice was to predict binding sites, a .zip file will be downloaded including the above mentioned .csv file, the binding pocket predictions, the visualizations, and summarized the binding site clustering results. More information about the service can be found in the NI4OS Service Catalogue. After completing this course, you will: understand the benefits of the service, be familiar with the main functions of the service.
Keywords: EOSC, thematic services, proteins, chemical compounds, visualization
License: https://creativecommons.org/licenses/by/4.0/
Access Rights: Open Access
Version Date(s): Monday, 7 March 2022, 7:21 PM
Target Group (Audience): Researchers, Research groups, Research projects
Learning Resource Type: Other, assessment
Learning Outcome(s): Training materials that help you learn what is and how to use the DREAMM service. DREAMM is a novel machine learning tool that predicts the protein-membrane interfaces of peripheral membrane protein, and optionally predicts binding sites near the predicted membrane-penetrating residues in protein conformational ensembles. As an output, the user can retrieve the membrane-penetrating residues in a .csv file and if the user's choice was to predict binding sites, a .zip file will be downloaded including the above mentioned .csv file, the binding pocket predictions, the visualizations, and summarized the binding site clustering results. More information about the service can be found in the NI4OS Service Catalogue. After completing this course, you will: understand the benefits of the service, be familiar with the main functions of the service.
Expertise Level: Beginner
Format: scorm, video
Duration: 2500
Language: en
Geographical Availability: World
Scientific Domain: Generic
Scientific Subdomain: Generic

Training materials that help you learn what is and how to use the ChemBioServer service.

ChemBioServer is a web-server for filtering, clustering and networking of chemical compound libraries facilitating both drug discovery and repurposing. It provides researchers the ability to (i) browse and visualize compounds along with their physicochemical and toxicity properties, (ii) perform property-based filtering of chemical compounds, (iii) explore compound libraries for lead optimization based on perfect match substructure search, (iv) re-rank virtual screening results to achieve selectivity for a protein of interest against different protein members of the same family, selecting only those compounds that score high for the protein of interest, (v) perform clustering among the compounds based on their physicochemical properties providing representative compounds for each cluster, (vi) construct and visualize a structural similarity network of compounds providing a set of network analysis metrics, (vii) combine a given set of compounds with a reference set of compounds into a single structural similarity network providing the opportunity to infer drug repurposing due to transitivity, (viii) remove compounds from a network based on their similarity with unwanted substances (e.g. failed drugs) and (ix) build custom compound mining pipelines.

Title: ChemBioServer
Authors: Cournia, Zoe
URL to Resource: https://training.ni4os.eu/course/view.php?id=109
Resource URL Type: URL
Description: Training materials that help you learn what is and how to use the ChemBioServer service. ChemBioServer is a web-server for filtering, clustering and networking of chemical compound libraries facilitating both drug discovery and repurposing. It provides researchers the ability to (i) browse and visualize compounds along with their physicochemical and toxicity properties, (ii) perform property-based filtering of chemical compounds, (iii) explore compound libraries for lead optimization based on perfect match substructure search, (iv) re-rank virtual screening results to achieve selectivity for a protein of interest against different protein members of the same family, selecting only those compounds that score high for the protein of interest, (v) perform clustering among the compounds based on their physicochemical properties providing representative compounds for each cluster, (vi) construct and visualize a structural similarity network of compounds providing a set of network analysis metrics, (vii) combine a given set of compounds with a reference set of compounds into a single structural similarity network provi...
Keywords: EOSC, thematic service
License: https://creativecommons.org/licenses/by/4.0/
Access Rights: Open Access
Version Date(s): Monday, 7 March 2022, 7:21 PM
Learning Resource Type: Other, Other
Learning Outcome(s): Training materials that help you learn what is and how to use the ChemBioServer service. ChemBioServer is a web-server for filtering, clustering and networking of chemical compound libraries facilitating both drug discovery and repurposing. It provides researchers the ability to (i) browse and visualize compounds along with their physicochemical and toxicity properties, (ii) perform property-based filtering of chemical compounds, (iii) explore compound libraries for lead optimization based on perfect match substructure search, (iv) re-rank virtual screening results to achieve selectivity for a protein of interest against different protein members of the same family, selecting only those compounds that score high for the protein of interest, (v) perform clustering among the compounds based on their physicochemical properties providing representative compounds for each cluster, (vi) construct and visualize a structural similarity network of compounds providing a set of network analysis metrics, (vii) combine a given set of compounds with a reference set of compounds into a single structural similarity network provi...
Expertise Level: All
Format: scorm
Language: en
Geographical Availability: World
Scientific Domain: Generic
Scientific Subdomain: Generic

Training materials that help you learn what is and how to use the FEPrepare service.

FEP prepare is a webserver, which automates the set-up procedure for performing NAMD/FEP simulations. ​Automating free energy perturbation calculations is a step forward to delivering high throughput calculations for accurate predictions of relative binding affinities before a compound is synthesized, and consequently save enormous time and cost.

Title: FEPrepare
Authors: Cournia, Zoe
URL to Resource: https://training.ni4os.eu/course/view.php?id=106
Resource URL Type: URL
Description: Training materials that help you learn what is and how to use the FEPrepare service. FEP prepare is a webserver, which automates the set-up procedure for performing NAMD/FEP simulations. ​Automating free energy perturbation calculations is a step forward to delivering high throughput calculations for accurate predictions of relative binding affinities before a compound is synthesized, and consequently save enormous time and cost.
License: https://creativecommons.org/licenses/by/4.0/
Access Rights: Open Access
Version Date(s): Monday, 7 March 2022, 7:21 PM
Learning Resource Type: Other, Other
Learning Outcome(s): Training materials that help you learn what is and how to use the FEPrepare service. FEP prepare is a webserver, which automates the set-up procedure for performing NAMD/FEP simulations. ​Automating free energy perturbation calculations is a step forward to delivering high throughput calculations for accurate predictions of relative binding affinities before a compound is synthesized, and consequently save enormous time and cost.
Expertise Level: All
Format: scorm
Language: en
Geographical Availability: World
Scientific Domain: Generic
Scientific Subdomain: Generic

Ingredio application is a natural processing language (NLP) application that offers a pipeline of three services related to biomedical text. The application is able to classify biomedical text based on certain features of its content, extract compound names and infer causal relations from the text, however it is experimental and is not meant to replace human curation. It's main use is to showcase how this can be used as a high-throughput and high precision language filtering software for large scale biomedical data.

For more information please visit the NI4OS-Europe catalogue.

Title: Ingredio
Authors: Cournia, Zoe
URL to Resource: https://training.ni4os.eu/course/view.php?id=105
Resource URL Type: URL
Description: Ingredio application is a natural processing language (NLP) application that offers a pipeline of three services related to biomedical text. The application is able to classify biomedical text based on certain features of its content, extract compound names and infer causal relations from the text, however it is experimental and is not meant to replace human curation. It's main use is to showcase how this can be used as a high-throughput and high precision language filtering software for large scale biomedical data. For more information please visit the NI4OS-Europe catalogue.
License: https://creativecommons.org/licenses/by/4.0/
Access Rights: Open Access
Version Date(s): Monday, 7 March 2022, 12:51 PM
Learning Resource Type: Other, Other
Learning Outcome(s): Ingredio application is a natural processing language (NLP) application that offers a pipeline of three services related to biomedical text. The application is able to classify biomedical text based on certain features of its content, extract compound names and infer causal relations from the text, however it is experimental and is not meant to replace human curation. It's main use is to showcase how this can be used as a high-throughput and high precision language filtering software for large scale biomedical data. For more information please visit the NI4OS-Europe catalogue.
Expertise Level: All
Format: scorm
Language: en
Geographical Availability: World
Scientific Domain: Generic
Scientific Subdomain: Generic

Self-paced course that introduces you to the Clowder flexible and extensible online content management system for Digital Cultural Heritage.

For more details on the service please visit the NI4OS-Europe service catalogue.

Title: Clowder
Authors: Artopoulos, George, Artopoulos, Georgios
URL to Resource: https://training.ni4os.eu/course/view.php?id=99
Resource URL Type: URL
Description: Self-paced course that introduces you to the Clowder flexible and extensible online content management system for Digital Cultural Heritage. For more details on the service please visit the NI4OS-Europe service catalogue.
Keywords: data, thematic service, content management, digital cultural heritage
License: https://creativecommons.org/licenses/by/4.0/
Access Rights: Open Access
Version Date(s): Thursday, 27 January 2022, 2:57 PM
Learning Resource Type: Other, Other
Learning Outcome(s): Self-paced course that introduces you to the Clowder flexible and extensible online content management system for Digital Cultural Heritage. For more details on the service please visit the NI4OS-Europe service catalogue.
Expertise Level: All
Format: scorm
Language: en
Geographical Availability: World
Scientific Domain: Generic
Scientific Subdomain: Generic

Training materials on how to use the Gaussian API service from the field of Computational Physics. This is a service for fitting repulsive potentials in density-functional tight-binding with Gaussian process regression.

For more details on the service please visit the NI4OS-Europe service catalogue.


Title: Gaussian API
Authors: Koteska, Bojana
URL to Resource: https://training.ni4os.eu/course/view.php?id=95
Resource URL Type: URL
Description: Training materials on how to use the Gaussian API service from the field of Computational Physics. This is a service for fitting repulsive potentials in density-functional tight-binding with Gaussian process regression. For more details on the service please visit the NI4OS-Europe service catalogue.
Keywords: service, thematic, computational physics, Gaussian
License: https://creativecommons.org/licenses/by/4.0/
Access Rights: Open Access
Version Date(s): Friday, 28 January 2022, 10:53 AM
Learning Resource Type: Other, Other
Learning Outcome(s): Training materials on how to use the Gaussian API service from the field of Computational Physics. This is a service for fitting repulsive potentials in density-functional tight-binding with Gaussian process regression. For more details on the service please visit the NI4OS-Europe service catalogue.
Expertise Level: All
Format: scorm
Language: en
Geographical Availability: World
Scientific Domain: Generic
Scientific Subdomain: Generic

Self-paced course that introduces you to the Live Access Server used for flexible access and visualization of geo-referenced scientific data.

For more details on the service please visit the NI4OS-Europe service catalogue.

Title: Live Access Server
Authors: Christoudias, Theodoros
URL to Resource: https://training.ni4os.eu/course/view.php?id=94
Resource URL Type: URL
Description: Self-paced course that introduces you to the Live Access Server used for flexible access and visualization of geo-referenced scientific data. For more details on the service please visit the NI4OS-Europe service catalogue.
Keywords: thematic service, LAS, visualization, data
License: https://creativecommons.org/licenses/by/4.0/
Access Rights: Open Access
Version Date(s): Thursday, 27 January 2022, 2:57 PM
Learning Resource Type: Other, Other
Learning Outcome(s): Self-paced course that introduces you to the Live Access Server used for flexible access and visualization of geo-referenced scientific data. For more details on the service please visit the NI4OS-Europe service catalogue.
Expertise Level: All
Format: scorm
Language: en
Geographical Availability: World
Scientific Domain: Generic
Scientific Subdomain: Generic

Training materials on how to use the Schrödinger thematic service used in Computational Physics. This is a service for advanced methods for solving of multidimensional time-independent Schrödinger equation.

For more information about the service please visit the NI4OS-Europe service catalogue.

After completing the course, you will: 

  • understand the scientific background of the service; 
  • gain the basic familiarity with Jupyter Notebooks; 
  • be familiar with the characteristics of the service, 
  • be familiar with the common workflows. 
Title: Schrödinger API
Authors: Koteska, Bojana
URL to Resource: https://training.ni4os.eu/course/view.php?id=87
Resource URL Type: URL
Description: Training materials on how to use the Schrödinger thematic service used in Computational Physics. This is a service for advanced methods for solving of multidimensional time-independent Schrödinger equation.For more information about the service please visit the NI4OS-Europe service catalogue. After completing the course, you will: understand the scientific background of the service; gain the basic familiarity with Jupyter Notebooks; be familiar with the characteristics of the service, be familiar with the common workflows.
Keywords: EOSC, Schrödinger, API, thematic, service, computational physics
License: https://creativecommons.org/licenses/by/4.0/
Access Rights: Open Access
Version Date(s): Tuesday, 23 November 2021, 11:59 AM
Target Group (Audience): Researchers, Research groups, Research projects
Learning Resource Type: Other, assessment
Learning Outcome(s): Training materials on how to use the Schrödinger thematic service used in Computational Physics. This is a service for advanced methods for solving of multidimensional time-independent Schrödinger equation.For more information about the service please visit the NI4OS-Europe service catalogue. After completing the course, you will: understand the scientific background of the service; gain the basic familiarity with Jupyter Notebooks; be familiar with the characteristics of the service, be familiar with the common workflows.
Expertise Level: Beginner
Format: scorm
Duration: 4000
Language: en
Geographical Availability: World
Scientific Domain: Generic
Scientific Subdomain: Generic

Self-paced course that introduces you to NanoCrystal.

NanoCrystal is a novel web-based crystallographic tool that creates nanoparticle coordinates from any material crystal structure.

For more information please visit the NI4OS-Europe catalogue.

Title: Nanocrystal
Authors: Cournia, Zoe
URL to Resource: https://training.ni4os.eu/course/view.php?id=56
Resource URL Type: URL
Description: Self-paced course that introduces you to NanoCrystal. NanoCrystal is a novel web-based crystallographic tool that creates nanoparticle coordinates from any material crystal structure. For more information please visit the NI4OS-Europe catalogue.
Keywords: end-user, nanocrystal, service
License: https://creativecommons.org/licenses/by/4.0/
Access Rights: Open Access
Version Date(s): Thursday, 19 November 2020, 10:07 AM
Learning Resource Type: Other, Other
Learning Outcome(s): Self-paced course that introduces you to NanoCrystal. NanoCrystal is a novel web-based crystallographic tool that creates nanoparticle coordinates from any material crystal structure. For more information please visit the NI4OS-Europe catalogue.
Expertise Level: All
Format: scorm
Language: en
Geographical Availability: World
Scientific Domain: Generic
Scientific Subdomain: Generic