See at: CNR ExploRA

gCube Data Transfer Suite
Sinibaldi F.
gCube Data Transfer Suite is a collection of software libraries and service aimed to provide gCube Applications with a common layer for efficient and transparent data transfer towards gCube SmartGear nodes. It's designed as a client-server architecture exploiting plugin design pattern.Project(s): BlueBRIDGE

See at: CNR ExploRA | wiki.gcube-system.org

gfeed service
Sinibaldi F.
gFeed is an extendable gCube service which manages both Data Retrieval from multiple sources and Data Transformation and publication towards multiple destinations.Project(s): AGINFRA PLUS

See at: CNR ExploRA | wiki.gcube-system.org

gCube gis-interface
Sinibaldi F.
GIS-Interface is a gCube Java library designed to let gCube applications publish Spatial Data without directly dealing with underlying engines' business logic.Project(s): D4SCIENCE-II

See at: CNR ExploRA | wiki.gcube-system.org

SDI Suite
Sinibaldi F.
SDI Suite is a collection of software aimed to let applications interact with the Spatial Data Infrastructure operated in D4ScienceProject(s): BlueBRIDGE

See at: CNR ExploRA | wiki.gcube-system.org

Gcube 4.8.0 - Ws-Thredds V. 0.0.2
Sinibaldi F.
WS-Thredds is a library dedicated to two-way synchronization of a gCube WS Folder with a THREDDS catalogue, by exploiting Data Transfer Service and SDI Service capabilities.Project(s): BlueBRIDGE

See at: CNR ExploRA

PerformFish service
Sinibaldi F.
PerformFish Service is a REST Service aimed to anonymize and manage data for the PerformFish projectProject(s): PerformFISH

See at: maven.research-infrastructures.eu | CNR ExploRA

Ckan2Zenodo library
Sinibaldi F.
The Java library is a component of gCube framework aimed at translating CKAN items into Zenodo depositions, allowing contextual editing and publication.Project(s): AGINFRA PLUS

See at: code-repo.d4science.org | CNR ExploRA

2016 Report Open Access

EGI-Engage - Deployment of a gCube release with federated cloud support
Fabriani P., Viljoen M., Giammatteo G., Sinibaldi F., Pagano P., Galante N. A.
This document reports on the integration of Federated Cloud resources in the D4Science platform, built on top of the gCube framework. The document introduces the D4Science platform, how it is currently exploited by scientific communities and motivates the need for the integration. The most relevant usage scenarios are analysed and corresponding requirements are identified. The extension to the gCube framework is defined in terms of overall architecture and description of single components. A number of enhancements have been selected for future evaluation and realization.Source: Project report, EGI-Engage, Deliverable D4.5, 2016
Project(s): EGI-Engage

See at: ISTI Repository | CNR ExploRA

gCube CMS Suite
Sinibaldi F., Mangiacrapa F.
gCube CMS Suite e' una applicazione gCube distribuita progettata per gestire il ciclo di pubblicazione di documenti spazio-temporali complessi chiamati Project, supportandone materializzazione e indicizzazione su varie piattaforme (Database, Cataloghi, Servizi OGC) all'interno di una VRE . Per massimizzare la sua riusabilita', e' stata concepita come insieme estendibile di moduli altamente configurabili. Nasce dall'esigenza di gestire il flusso di pubblicazione dei Project in scenari eterogenei, e dalla volonta' di mettere a fattor comune le funzionalita' condivise come il supporto al GIS, operazioni CRUD, query e gestione del flusso. E' il motore dietro le soluzioni Geoportale in D4science.Project(s): ARIADNEplus

See at: code-repo.d4science.org | CNR ExploRA

See at: code-repo.d4science.org | CNR ExploRA

2013 Report Open Access

ENVRI - Integration, Harmonisation and Publication software components - version 1
Candela L., Coro G., Pagano P., Sinibaldi F.
The ENVRI Integration, Harmonisation and Publication software comprises a number of components, services and subsystems offering facilities enabling the integration and harmonization of data. The actual deliverable is thus the software realising such facilities. This document briefly describes the software components realising version 1 of these facilities and offers a series of links to the software itself and its accompanying documentationSource: Project report, ENVRI, Deliverable D4.2, 2013
Project(s): ENVRI

See at: envri.eu | ISTI Repository | CNR ExploRA

2023 Report Open Access

See at: ISTI Repository | CNR ExploRA

2023 Journal article Open Access

ARIADNE Plus e il D4GNA-Dataset per il Geoportale Nazionale per l'Archeologia
Acconcia V., Boi V., Candela L., Falcone A., Mangiacrapa F., Massara F., Pagano P., Sinibaldi F.
L'articolo racconta l'esperienza del D4GNA - Dataset per il Geoportale Nazionale dell'Archeologia nato nell'ambito del progetto ARIADNEplus (Advanced Research Infrastructure for Archaeological Dataset Networking in Europe - plus), conclusosi lo scorso 31 dicembre. Il contributo parte dal contesto più ampio del progetto europeo per addentrarsi nel mondo dei dati archeologici italiani; la soluzione tecnologica, la standardizzazione, la dematerializzazione e la condivisione in rete dei dati sono i temi toccati in questo percorso che ci illustra il procedere verso un obiettivo virtuoso: il Geoportale Nazionale per l'Archeologia (GNA). Il GNA, realizzato dall'Istituto Centrale per l'Archeologia (ICA) e che sarà in rete dal 10 luglio 2023, è il punto di accesso nazionale per accogliere e consultare gli interventi archeologici svolti sotto la direzione scientifica del Ministero della Cultura (MiC), le indagini archeologiche condotte da università e altri enti di ricerca, nonché altre banche dati territoriali.Source: Digitalia (Online) 1 (2023): 129–140. doi:10.36181/digitalia-00064
DOI: 10.36181/digitalia-00064
Project(s): ARIADNEplus
Metrics:

See at: digitalia.cultura.gov.it | ISTI Repository | CNR ExploRA

Cloud Computing for Ecological Modeling in the D4Science Infrastructure
Pagano P., Coro G., Castelli D., Candela L., Sinibaldi F.
Species distribution modeling is a process aiming at computationally predicting the distribution of species in geographic areas on the basis of environmental parameters including climate data. In order to further promote the diffusion of such an approach it is fundamental to develop a flexible, comprehensive, and robust environment enabling practitioners to produce species distribution models more efficiently. A promising way to build such an environment is offered by modern infrastructures promoting the sharing of resources, including hardware, software, data and services. We describe an approach to species distribution modeling based on the D4Science Infrastructure that can offer a rich array of data and data management services by leveraging other infrastructures (including Cloud), by discussing the services needed to support the phases of such a complex process.Source: EGI Community Forum 2013, Manchester, 8 April 2013
Project(s): D4SCIENCE

See at: CNR ExploRA

2013 Journal article Open Access

Species distribution modeling in the cloud
Candela L., Castelli D., Coro G., Pagano P., Sinibaldi F.
Species distribution modeling is a process aiming at computationally predicting the distribution of species in geographic areas on the basis of environmental parameters including climate data. Such a quantitative approach has a lot of potentialities in many areas that include setting up conservation priorities, testing biogeographic hypotheses, assessing the impact of accelerated land use. In order to further promote the diffusion of such an approach it is fundamental to develop a flexible, comprehensive, and robust environment capable of enabling practitioners and communities of practice to produce species distribution models more efficiently. A promising way to build such an environment is offered by modern infrastructures promoting the sharing of resources, including hardware, software, data and services. This paper describes an approach to species distribution modeling based on a Hybrid Data Infrastructure that can offer a rich array of data and data management services by leveraging other infrastructures (including Cloud). It discusses the whole set of services needed to support the phases of such a complex process including access to occurrence records and environmental parameters and the processing of such information to predict the probability of a species' occurrence in given areas. Copyright c 0000 John Wiley & Sons, Ltd.Source: Concurrency and computation (Online) (2013). doi:10.1002/cpe.3030
DOI: 10.1002/cpe.3030
Project(s): ENVRI , IMARINE , EUBRAZILOPENBIO
Metrics:

See at: ISTI Repository | Concurrency and Computation Practice and Experience | Concurrency and Computation Practice and Experience | onlinelibrary.wiley.com | CNR ExploRA

2013 Report Open Access

IMARINE - Cloud Computing for Ecological Modeling in the D4Science Infrastructure
Pagano P., Coro G., Castelli D., Candela L., Sinibaldi F.
Species distribution modeling is a process aiming at computationally predicting the distribution of species in geographic areas on the basis of environmental parameters including climate data. In order to further promote the diffusion of such an approach it is fundamental to develop a flexible, comprehensive, and robust environment enabling practitioners to produce species distribution models more efficiently. A promising way to build such an environment is offered by modern infrastructures promoting the sharing of resources, including hardware, software, data and services. We describe an approach to species distribution modeling based on the D4Science Infrastructure that can offer a rich array of data and data management services by leveraging other infrastructures (including Cloud), by discussing the services needed to support the phases of such a complex process.Source: ISTI Technical reports, 2013
Project(s): IMARINE

See at: ISTI Repository | CNR ExploRA

2013 Contribution to book Open Access

Modellazione della nicchia ecologica di specie marine = Marine species ecological niche modelling
Castelli D., Candela L., Coro G., Pagano P., Sinibaldi F.
A certain species' niche, i.e. those environmental conditions and resources which permit that species can survive and reproduce, is a basic piece of knowledge for monitoring ocean's populousness from both commercial point of view (to steer fishery activities to defined areas) and from the biological one (to monitor dying species). In the context of the European iMarine project (www.i-marine.eu), the Networked Multimedia Information Systems Laboratory (NeMIS) of the CNR Institute of Information Science and Technology (ISTI) has developed a tool for generating probabilistic species distribution maps that are proved to closely involve the interest of both industrial and scientific communities. This tool exploits Cloud Computing techniques to compare systems able to calculate the probability that a certain species can thrive in a given ocean's area, i.e., the probability that such a zone corresponds to its ecological niche.Source: Le tecnologie del CNR per il mare / Marine Technologies, edited by Marco Faimail, pp. 140–140. Roma: CNR, 2013
Project(s): IMARINE

See at: www.edizioni.cnr.it | CNR ExploRA

2018 Report Open Access

BlueBRIDGE - BlueBRIDGE VRE commons facilities: revised version
Assante M., Candela L., Coro G., Koltsida P., Laskaris N., Marketakis Y., Sinibaldi F., Pagano P.
Deliverable D9.2 - "BlueBRIDGE VRE Commons Facilities: Revised Version" is the revised version of the D9.1 deliverable, intended to report the release of the BlueBRIDGE facilities for Data Access, Data Discovery, Data Storage, Data Analytics and Data Publishing. It is conceived to include the latest developments and releases that took place between the 2 versions of the reports. The deliverable is of type "Other" and the following document is intended to provide its readers with an easy-to-use description of the actual components, services and systems contributing to form the BlueBRIDGE VRE Commons Facilities. This document is structured as follows: a description for each facility is available, in conjunction with links to the project's wiki, providing more detailed descriptions and additional information for each component. This revised version of the document aims at providing a complete picture of the available facilities for Accessing, Discovering, Storing Data, Analysing and Publishing Data developed through the project's lifetime. The deliverable is divided in two main sections. The first one follows the structure of Work Package 9; specifically, it documents the various releases and versions of the facilities available for Accessing, Discovering and Storing Data (T9.1), for Analysing Data (T9.2) and for Publishing Data (T9.3). The second section comprises facilities for managing and using VREs that span across all the three WP9 tasks. Specifically, it includes dedicated parts documenting the various releases and versions of services for defining, creating and deploying VREs (VRE Management facilities) together with a set of applications allowing to use the VRE through a thin client (VRE Enabling facilities). The deliverable provides, for each facility, a description, the documentation for developers and system administrators, how-to guides and usage instructions for different use cases and links to open source code and binaries. Further details and the complete documentation for the facilities are available on the gCube wiki at https://wiki.gcube-system.org/gcube/About_gCube. The intended readers of this deliverable are (a) the community in the large willing to be informed on the solutions BlueBRIDGE offers for VRE management, Data Access, Discovery, Storage, Analytics and Publishing, and (b) the gCube developer community to know how to integrate, use and build on top of the facilities described by the document.Source: Project report, BlueBRIDGE, Deliverable D9.2, 2018
Project(s): BlueBRIDGE

See at: ISTI Repository | CNR ExploRA

2014 Report Open Access

ENVRI - Integration, harmonisation and publication software components - version 2
Candela L., Coro G., Italiano A., Mangiacrapa F., Pagano P., Sinibaldi F.
The ENVRI Integration, Harmonisation and Publication software comprises a number of components, services and subsystems offering facilities enabling the integration and harmonization of data. The actual deliverable is thus the software realising such facilities. This document briefly describes the software components realising version 2 of these facilities and offers a series of links to the software itself and its accompanying documentationSource: Project report, ENVRI, Deliverable D4.5, 2014
Project(s): ENVRI

See at: ISTI Repository | CNR ExploRA