2010
Software
Metadata Only Access
gCube ecological niche modelling suite
Sinibaldi F
This suite allows to predict the global distributions of marine species initially designed for marine mammals and subsequently generalised to marine species, that generates color-coded species range maps using a half-degree latitude and longitude blocks by interfacing several scientific species-databases and repository providers. It allows the extrapolation of known species occurrences to determine environmental envelopes (species tolerances) and to predict future distributions by matching species tolerances against local environmental conditions (e.g. climate change and sea pollution)
Sinibaldi F
This suite allows to predict the global distributions of marine species initially designed for marine mammals and subsequently generalised to marine species, that generates color-coded species range maps using a half-degree latitude and longitude blocks by interfacing several scientific species-databases and repository providers. It allows the extrapolation of known species occurrences to determine environmental envelopes (species tolerances) and to predict future distributions by matching species tolerances against local environmental conditions (e.g. climate change and sea pollution)
See at:
CNR IRIS 
2016
Software
Metadata Only Access
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
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 IRIS | wiki.gcube-system.org
2019
Software
Metadata Only Access
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
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 IRIS | wiki.gcube-system.org
2013
Software
Metadata Only Access
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
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 IRIS | wiki.gcube-system.org
2017
Software
Metadata Only Access
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
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 IRIS | wiki.gcube-system.org
2017
Software
Metadata Only Access
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
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 IRIS
2019
Software
Metadata Only Access
PerformFish service
Sinibaldi F
PerformFish Service is a REST Service aimed to anonymize and manage data for the PerformFish projectProject(s): PerformFISH
Sinibaldi F
PerformFish Service is a REST Service aimed to anonymize and manage data for the PerformFish projectProject(s): PerformFISH
See at:
CNR IRIS | maven.research-infrastructures.eu
2021
Software
Metadata Only Access
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
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 IRIS
2016
Other
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.Project(s): EGI-Engage
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.Project(s): EGI-Engage
See at:
CNR IRIS 
| ISTI Repository | CNR IRIS
2022
Software
Metadata Only Access
gCube CMS Suite
Sinibaldi F, Mangiacrapa F
The gCube CMS Suite is a distributed gCube Application designed to manage the publication lifecycle of complex space-temporal documents called Projects, supporting their materialisation and Indexing in different platforms (Databases, Catalogues, OGC Services). In order to maximise reusability, it has been designed as an expandable set of highly configurable modules. It comes from the need of managing Projects publication flow in heterogeneous scenarios and from the will to put in common the various shared features like support to GIS, CRUD, querying and wokflow management. It is the engine behind D4Science Geoportal Solutions.Project(s): ARIADNEplus
Sinibaldi F, Mangiacrapa F
The gCube CMS Suite is a distributed gCube Application designed to manage the publication lifecycle of complex space-temporal documents called Projects, supporting their materialisation and Indexing in different platforms (Databases, Catalogues, OGC Services). In order to maximise reusability, it has been designed as an expandable set of highly configurable modules. It comes from the need of managing Projects publication flow in heterogeneous scenarios and from the will to put in common the various shared features like support to GIS, CRUD, querying and wokflow management. It is the engine behind D4Science Geoportal Solutions.Project(s): ARIADNEplus
See at:
code-repo.d4science.org | CNR IRIS
2022
Software
Metadata Only Access
gCube Accounting Access Lib
Sinibaldi F, E Perrone
Accounting Summary Access is a java library wrapping persistence of accounting summary records in gCube, providing CRUD and report features.
Sinibaldi F, E Perrone
Accounting Summary Access is a java library wrapping persistence of accounting summary records in gCube, providing CRUD and report features.
See at:
code-repo.d4science.org | CNR IRIS
2013
Other
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 documentationProject(s): ENVRI
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 documentationProject(s): ENVRI
See at:
envri.eu | CNR IRIS | ISTI Repository | CNR IRIS
2023
Other
Open Access
Definition of a new model of communication: Secure Application Email (SAE)
Gennai F, Sinibaldi F, Buzzi M, Martusciello L
In this technical report, we define a Secure Application Email model and protocol that works on top of existing Internet email architecture that can be used in the development of new services with enanched security. The new Secure Application Email model could represent an evolution of the current Internet email model while keeping a deep level of interoperability between the two models.DOI: 10.32079/isti-tr-2023/002
Metrics:
Gennai F, Sinibaldi F, Buzzi M, Martusciello L
In this technical report, we define a Secure Application Email model and protocol that works on top of existing Internet email architecture that can be used in the development of new services with enanched security. The new Secure Application Email model could represent an evolution of the current Internet email model while keeping a deep level of interoperability between the two models.DOI: 10.32079/isti-tr-2023/002
Metrics:
See at:
CNR IRIS | ISTI Repository | CNR IRIS
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
The article describes the experience of the D4GNA - Dataset for the National Geoportal for Archaeology born within the framework of the ARIADNEplus (Advanced Research Infrastructure for Archaeological Dataset Networking in Europe, plus) project, which ended last 31 December. The contribution starts from the broader context of the European project to delve into the world of Italian archaeological data; the technological solution, standardization, dema- terialisation and network sharing of data are the topics touched upon in this journey that illustrates the progress towards a virtuous objective: the Geoportale Nazionale per l'Archeologia, GNA. The GNA, created by the Istituto Centrale per l'Archeologia (ICA), released online july 10, 2023, is the national access point for receiving and consulting both archaeological interventions carried out under the scientific direction of the Ministry of Culture (MiC) as well as archaeological investigations conducted by universities and other re- search institutions.Source: DIGITALIA (ONLINE), vol. 1 (issue 2023), pp. 129-140
DOI: 10.36181/digitalia-00064
Project(s): ARIADNEplus
Metrics:
Acconcia V, Boi V, Candela L, Falcone A, Mangiacrapa F, Massara F, Pagano P, Sinibaldi F
The article describes the experience of the D4GNA - Dataset for the National Geoportal for Archaeology born within the framework of the ARIADNEplus (Advanced Research Infrastructure for Archaeological Dataset Networking in Europe, plus) project, which ended last 31 December. The contribution starts from the broader context of the European project to delve into the world of Italian archaeological data; the technological solution, standardization, dema- terialisation and network sharing of data are the topics touched upon in this journey that illustrates the progress towards a virtuous objective: the Geoportale Nazionale per l'Archeologia, GNA. The GNA, created by the Istituto Centrale per l'Archeologia (ICA), released online july 10, 2023, is the national access point for receiving and consulting both archaeological interventions carried out under the scientific direction of the Ministry of Culture (MiC) as well as archaeological investigations conducted by universities and other re- search institutions.Source: DIGITALIA (ONLINE), vol. 1 (issue 2023), pp. 129-140
DOI: 10.36181/digitalia-00064
Project(s): ARIADNEplus
Metrics:
See at:
digitalia.cultura.gov.it | CNR IRIS | ISTI Repository | CNR IRIS
2012
Other
Restricted
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.Project(s): IMARINE
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.Project(s): IMARINE
2013
Conference article
Restricted
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.Project(s): D4SCIENCE
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.Project(s): D4SCIENCE
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)
DOI: 10.1002/cpe.3030
Project(s): ENVRI, IMARINE , EUBRAZILOPENBIO
Metrics:
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)
DOI: 10.1002/cpe.3030
Project(s): ENVRI
, IMARINE , EUBRAZILOPENBIO Metrics:
See at:
CNR IRIS | onlinelibrary.wiley.com | ISTI Repository | Concurrency and Computation Practice and Experience | Concurrency and Computation Practice and Experience | CNR IRIS | CNR IRIS
2013
Other
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.Project(s): IMARINE
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.Project(s): IMARINE
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2013
Other
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.Project(s): IMARINE
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.Project(s): IMARINE
See at:
CNR IRIS | www.edizioni.cnr.it | CNR IRIS
2014
Other
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 documentationProject(s): ENVRI
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 documentationProject(s): ENVRI
See at:
CNR IRIS | ISTI Repository | CNR IRIS