2022
Dataset
Open Access
See at:
figshare.com 
| CNR IRIS | CNR IRIS 
2022
Dataset
Open Access
Monthly data at 0.1° resolution
Coro G., Bove P.
Monthly data at 0.1 deg resolutionProject(s): EcoScope
Coro G., Bove P.
Monthly data at 0.1 deg resolutionProject(s): EcoScope
2023
Journal article
Open Access
Editorial: Ecocentric fisheries management in European seas: data gaps, base models and initial assessments, volume I
Tsikliras Ac, Coro G, Daskalov G, Grémillet D, Scotti M, Sylaios G
Source: FRONTIERS IN MARINE SCIENCE, vol. 10
Project(s): EcoScope
Tsikliras Ac, Coro G, Daskalov G, Grémillet D, Scotti M, Sylaios G
Source: FRONTIERS IN MARINE SCIENCE, vol. 10
Project(s): EcoScope
See at:
CNR IRIS | ISTI Repository | www.frontiersin.org | CNR IRIS
2022
Dataset
Open Access
Environmental geophysical marine socioeconomic parameters at 0.1° and 0.5° resolutions
Coro G.
Environmental Geophysical Marine Socioeconomic parameters at 0.1° and 0.5° resolutionsProject(s): EcoScope
Coro G.
Environmental Geophysical Marine Socioeconomic parameters at 0.1° and 0.5° resolutionsProject(s): EcoScope
See at:
figshare.com | CNR IRIS | CNR IRIS
2012
Other
Restricted
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.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.Project(s): IMARINE
2012
Other
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.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.Project(s): IMARINE
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2013
Journal article
Restricted
The iMarine data bonanza: improving data discovery and management through a hybrid data infrastructure
Castelli D, Pagano P, Candela L, Coro G
This paper briefly introduces the iMarine data infrastructure and the services it offers for data discovery and management.Source: BOLLETTINO DI GEOFISICA TEORICA E APPLICATA, vol. 54, pp. 105-107
Project(s): IMARINE
Castelli D, Pagano P, Candela L, Coro G
This paper briefly introduces the iMarine data infrastructure and the services it offers for data discovery and management.Source: BOLLETTINO DI GEOFISICA TEORICA E APPLICATA, vol. 54, pp. 105-107
Project(s): IMARINE
2011
Software
Metadata Only Access
Ecological Modelling Library for gCube VRE
Coro G
The Ecological Modelling library supplies the gCube platform with algorithms for calculating the probability distributions of living species across the world. Data mining and machine learning algorithms as well as expert systems are included for performing implicit or explicit modelling.Project(s): D4SCIENCE-II
Coro G
The Ecological Modelling library supplies the gCube platform with algorithms for calculating the probability distributions of living species across the world. Data mining and machine learning algorithms as well as expert systems are included for performing implicit or explicit modelling.Project(s): D4SCIENCE-II
See at:
CNR IRIS | www.gcube-system.org
2011
Software
Metadata Only Access
Statistical Tools for GCube Platform
Coro G
The Statistical Library is a support library for the gCube platform, which supplies Data Mining functionalities for performing lexical comparisons among user's data as well as data analysis and prevision. Machine Learning algorithms are included with parallel processing procedures, in order to give support for statistical data management and classification.Project(s): D4SCIENCE-II
Coro G
The Statistical Library is a support library for the gCube platform, which supplies Data Mining functionalities for performing lexical comparisons among user's data as well as data analysis and prevision. Machine Learning algorithms are included with parallel processing procedures, in order to give support for statistical data management and classification.Project(s): D4SCIENCE-II
See at:
CNR IRIS
2015
Other
Open Access
A Tutorial on Hybrid Data Infrastructures: D4Science as a case study
Pagano P, Coro G, Castelli D
The document is an abstract of the Tutorial given on Hybrid Data Infrastructures, based on D4Science as a case study.
Pagano P, Coro G, Castelli D
The document is an abstract of the Tutorial given on Hybrid Data Infrastructures, based on D4Science as a case study.
See at:
CNR IRIS | indico.egi.eu | ISTI Repository | CNR IRIS
2023
Other
Open Access
Massaciuccoli Lake Basin - Atlas of agri-environmental spatial data
Vannini Gl, Coro G
Atlas of agri-environmental spatial data developed in the context of the ITINERIS PNRR project. This is a cartographic collection of geospatial data with resolution lower than 50m for the Massaciuccoli Lake Basin.
Vannini Gl, Coro G
Atlas of agri-environmental spatial data developed in the context of the ITINERIS PNRR project. This is a cartographic collection of geospatial data with resolution lower than 50m for the Massaciuccoli Lake Basin.
See at:
data.d4science.net | CNR IRIS | CNR IRIS
2012
Software
Metadata Only Access
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 IRIS | www.gcube-system.org
2012
Software
Metadata Only Access
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 IRIS | www.gcube-system.org
2012
Software
Metadata Only Access
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 IRIS | www.gcube-system.org
2013
Journal article
Restricted
A service for statistical analysis of marine data in a distributed e-infrastructure
Coro G, Gioia A, Pagano P, Candela L
This paper introduces a specific workbench software, named Statistical Manager (SM), that aids in the application of statistical computing and data mining to a variety of biological and marine related problems.Source: BOLLETTINO DI GEOFISICA TEORICA E APPLICATA, vol. 54, pp. 68-70
Project(s): IMARINE
Coro G, Gioia A, Pagano P, Candela L
This paper introduces a specific workbench software, named Statistical Manager (SM), that aids in the application of statistical computing and data mining to a variety of biological and marine related problems.Source: BOLLETTINO DI GEOFISICA TEORICA E APPLICATA, vol. 54, pp. 68-70
Project(s): IMARINE
See at:
CNR IRIS | CNR IRIS | www2.ogs.trieste.it
2012
Other
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.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.Project(s): IMARINE
See at:
CNR IRIS | ISTI Repository | CNR IRIS
2013
Other
Restricted
IMarine - Management report, November 2013
Candela L, Castelli D, Coro G, Ellenbroek A, Fabriani P, Garavelli S, Gerbesiotis J, Kakaletris G, Manzi A, Michel Assoumou J, Pagano P
This deliverables is a project management report describing the developments, achievement and identified risks of the iMarine project across all activities performed in the period July '13 (M21)-November '13 (M24).Project(s): IMARINE
Candela L, Castelli D, Coro G, Ellenbroek A, Fabriani P, Garavelli S, Gerbesiotis J, Kakaletris G, Manzi A, Michel Assoumou J, Pagano P
This deliverables is a project management report describing the developments, achievement and identified risks of the iMarine project across all activities performed in the period July '13 (M21)-November '13 (M24).Project(s): IMARINE
2020
Journal article
Open Access
Predicting the spread of COVID-19 through Marine Ecological Niche Models
Coro G
Researchers from ISTI-CNR (Italy) used marine models, designed to monitor species habitats and invasions, to identify the countries with the highest risk of COVID-19 spread due to climatic and human factors. The model correctly identified most locations where large outbreaks were recorded, independent of population density and dynamics, and is a valuable source of information for smaller-scale population models.Project(s): EOSCsecretariat.eu
Coro G
Researchers from ISTI-CNR (Italy) used marine models, designed to monitor species habitats and invasions, to identify the countries with the highest risk of COVID-19 spread due to climatic and human factors. The model correctly identified most locations where large outbreaks were recorded, independent of population density and dynamics, and is a valuable source of information for smaller-scale population models.Project(s): EOSCsecretariat.eu
See at:
ercim-news.ercim.eu | CNR IRIS | ISTI Repository | CNR IRIS
2012
Software
Metadata Only Access
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 IRIS | www.gcube-system.org
2013
Other
Open Access
A Lightweight Guide on Gibbs Sampling and JAGS
Coro G
In this document we give some insight about how Gibbs Sampling works and how the JAGS modelling framework implements it. The hope is that, once the reader will have understood these concepts, building a model to perform Bayesian Inference with JAGS should be much easier or, at least, the reader should be more aware of what happens behind the scenes. We assume the reader to have basic knowledge about probability, sucient to understand the dierence between a probability and a probability density.
Coro G
In this document we give some insight about how Gibbs Sampling works and how the JAGS modelling framework implements it. The hope is that, once the reader will have understood these concepts, building a model to perform Bayesian Inference with JAGS should be much easier or, at least, the reader should be more aware of what happens behind the scenes. We assume the reader to have basic knowledge about probability, sucient to understand the dierence between a probability and a probability density.
See at:
CNR IRIS | ISTI Repository | CNR IRIS