2012
Report
Open Access
Imarine D9.1 - Imarine Data management software
Coro G., De Faveri F., Lelii L.
This deliverable describes the novelties within the iMarine Data Management Software up to M6 (Apr. '12), which include: Data Access, Data Transfer, Assessment,Harmonization and Certification facilities.Source: Project report, iMarine, Deliverable D9.1, 2012
Project(s): IMARINE
Coro G., De Faveri F., Lelii L.
This deliverable describes the novelties within the iMarine Data Management Software up to M6 (Apr. '12), which include: Data Access, Data Transfer, Assessment,Harmonization and Certification facilities.Source: Project report, iMarine, Deliverable D9.1, 2012
Project(s): IMARINE
See at:
ISTI Repository 
| CNR ExploRA
2012
Software
Unknown
gCube Time Series Environment
De Faveri F., Lelii L., Coro G.
The Time Series Environment is an application for Time Series management. The application let the user to import, curate and create a Time Series starting from a CSV document. The Time Series can be analyzed thought a set of functionality that range from simple filtering to chart generation and R Studio integration.Project(s): IMARINE
De Faveri F., Lelii L., Coro G.
The Time Series Environment is an application for Time Series management. The application let the user to import, curate and create a Time Series starting from a CSV document. The Time Series can be analyzed thought a set of functionality that range from simple filtering to chart generation and R Studio integration.Project(s): IMARINE
See at: CNR ExploRA | www.gcube-system.org
2012
Software
Unknown
Generic worker executor library.
Coro G.
The Generic Worker Executor is a Java library used in the gCube framework. It can transform a gCube based e-Infrastructure into a distributed computational infrastructure. The GWEL can be installed on a gCube node and is able to execute scripts on the local machine and read commands from an Active Message Queue instance. The GWEL was developed by extending the interface of the gCube Executor component.Project(s): IMARINE
Coro G.
The Generic Worker Executor is a Java library used in the gCube framework. It can transform a gCube based e-Infrastructure into a distributed computational infrastructure. The GWEL can be installed on a gCube node and is able to execute scripts on the local machine and read commands from an Active Message Queue instance. The GWEL was developed by extending the interface of the gCube Executor component.Project(s): IMARINE
See at: CNR ExploRA | www.gcube-system.org
2012
Software
Unknown
Times Series Geo-Tools and Vessel Information analysis library
Coro G.
Time Series Geo Tools is a java library for transforming a Time Series of observations about fishery catch statistics into a geographical map to be published by a GeoServer software. Furthermore it is able to manage and perform classification on Vessels Activity in the sea and to produce maps for displaying their trajectories and for calculating the fishing monthly effort at 0.5 degree resolutionProject(s): D4SCIENCE-II
Coro G.
Time Series Geo Tools is a java library for transforming a Time Series of observations about fishery catch statistics into a geographical map to be published by a GeoServer software. Furthermore it is able to manage and perform classification on Vessels Activity in the sea and to produce maps for displaying their trajectories and for calculating the fishing monthly effort at 0.5 degree resolutionProject(s): D4SCIENCE-II
See at: CNR ExploRA | www.gcube-system.org
2012
Report
Unknown
IMARINE - Management report
Candela L., Castelli D., Coro G., Ellennbroek A., Farantatos G., Giammatteo G., Hanahoe H., Kakaletris G., Manzi A., Nguyen L., Pagano P., Simi M.
This report describes the developments, achievements and identified risks of the project across all the project activities in the period November 2011-March 2012.Source: Project report, iMarine, Deliverable D2.1, 2012
Project(s): IMARINE
Candela L., Castelli D., Coro G., Ellennbroek A., Farantatos G., Giammatteo G., Hanahoe H., Kakaletris G., Manzi A., Nguyen L., Pagano P., Simi M.
This report describes the developments, achievements and identified risks of the project across all the project activities in the period November 2011-March 2012.Source: Project report, iMarine, Deliverable D2.1, 2012
Project(s): IMARINE
See at: CNR ExploRA
2012
Report
Open Access
iMarine D10.4 - iMarine Data Consumption Software (1.0)
Antoniadis A., Brito F., Coro G., Gerbesiotis J., Marketakis Y.
This document describes the novelties within the iMarine Data Consumption Software which were achieved from the 7th to the 12th month of the project and provide pointers to the documentation and artifacts of the related components.Source: Project report, iMarine, Deliverable D10.4, 2012
Project(s): IMARINE
Antoniadis A., Brito F., Coro G., Gerbesiotis J., Marketakis Y.
This document describes the novelties within the iMarine Data Consumption Software which were achieved from the 7th to the 12th month of the project and provide pointers to the documentation and artifacts of the related components.Source: Project report, iMarine, Deliverable D10.4, 2012
Project(s): IMARINE
See at:
ISTI Repository | CNR ExploRA
2012
Software
Unknown
Ecological Engine Library
Coro G.
Ecological Engine is a Java library which allows to develop and run algorithms for performing Ecological Modeling experiments. The term Ecological Modeling indicates a set of functionalities for managing complex phenomena in order, for example, to predict the impact of climate changes on biodiversity, prevent the spread of invasive species or disease, help in ecosystems conservation planning. The Ecological Engine allows to dynamically add new algorithms as plug-ins. The algorithms can be executed as sequential or multi-thread computations.Project(s): IMARINE
Coro G.
Ecological Engine is a Java library which allows to develop and run algorithms for performing Ecological Modeling experiments. The term Ecological Modeling indicates a set of functionalities for managing complex phenomena in order, for example, to predict the impact of climate changes on biodiversity, prevent the spread of invasive species or disease, help in ecosystems conservation planning. The Ecological Engine allows to dynamically add new algorithms as plug-ins. The algorithms can be executed as sequential or multi-thread computations.Project(s): IMARINE
See at: CNR ExploRA | www.gcube-system.org
2012
Software
Unknown
Statistical manager service
Gioia A., Coro G.
The Statistical Manager (SM) is a cross usage service aiming at providing users and services with tools for performing data mining operations. The goal of this service is to offer a unique access for performing data mining or statistical operations on heterogeneous data. These can reside on client side in the form of csv files or they can be remotely hosted, possibly in a database. The Service is able to take inputs and execute the operation requested by a client invoking the suited computational infrastructure from a set of available possibilities. Executions can run on multi-core machines or on different computational infrastructures, like the D4Science, Windows Azure and other different private and commercial Cloud providers.Project(s): IMARINE
Gioia A., Coro G.
The Statistical Manager (SM) is a cross usage service aiming at providing users and services with tools for performing data mining operations. The goal of this service is to offer a unique access for performing data mining or statistical operations on heterogeneous data. These can reside on client side in the form of csv files or they can be remotely hosted, possibly in a database. The Service is able to take inputs and execute the operation requested by a client invoking the suited computational infrastructure from a set of available possibilities. Executions can run on multi-core machines or on different computational infrastructures, like the D4Science, Windows Azure and other different private and commercial Cloud providers.Project(s): IMARINE
See at: CNR ExploRA | www.gcube-system.org
2012
Software
Unknown
Environment Explorer Library
Coro G.
The Environment Explorer Library is a Java library for exploring environmental G.I.S. layers. It addresses geographic layers containing physical or chemical characteristics of the world, which can be stored on a Geo Server or on a Thredds Service. The library is able to retrieve the values of NetCDF files residing on Thredds associated to some coordinates, or to get the values of an environmental layer residing on a Geo Server. Furthermore it manages the indexing procedure of those elements on a Geo Network Server, from which it can retrieve information about files or layers locations. The library is part of the gCube framework.Project(s): IMARINE
Coro G.
The Environment Explorer Library is a Java library for exploring environmental G.I.S. layers. It addresses geographic layers containing physical or chemical characteristics of the world, which can be stored on a Geo Server or on a Thredds Service. The library is able to retrieve the values of NetCDF files residing on Thredds associated to some coordinates, or to get the values of an environmental layer residing on a Geo Server. Furthermore it manages the indexing procedure of those elements on a Geo Network Server, from which it can retrieve information about files or layers locations. The library is part of the gCube framework.Project(s): IMARINE
See at: CNR ExploRA | www.gcube-system.org
2012
Report
Open Access
iMarine (D9.2) - iMarine Data Management Software
Coro G., De Faveri F., Lelii L., Manzi A., Drakopoulos N., Marioli V., Simeoni F., Antoniadis A.
The iMarine Data Management Software comprises a number of components and subsystems offering facilities for accessing, transferring and harmonising a rich array of data typologies. This document describes the novelties within the iMarine Data Management Software from M7 (May.'12) to M11 (Sept.'12). It complements D9.1 [10] which describes iMarine Data Management Software up to M6 (Apr.'12). This deliverable is intended for documentation purposes only. The actual deliverable is represented by the software artifacts and their accompanying documentation.Source: Project report, iMarine, Deliverable D9.2, 2012
Project(s): IMARINE
Coro G., De Faveri F., Lelii L., Manzi A., Drakopoulos N., Marioli V., Simeoni F., Antoniadis A.
The iMarine Data Management Software comprises a number of components and subsystems offering facilities for accessing, transferring and harmonising a rich array of data typologies. This document describes the novelties within the iMarine Data Management Software from M7 (May.'12) to M11 (Sept.'12). It complements D9.1 [10] which describes iMarine Data Management Software up to M6 (Apr.'12). This deliverable is intended for documentation purposes only. The actual deliverable is represented by the software artifacts and their accompanying documentation.Source: Project report, iMarine, Deliverable D9.2, 2012
Project(s): IMARINE
See at:
ISTI Repository | CNR ExploRA
2012
Report
Unknown
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: ISTI Technical reports, 2012
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.Source: ISTI Technical reports, 2012
Project(s): IMARINE
See at: CNR ExploRA