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EVER-EST: The Platform Allowing Scientists to Cross-Fertilize and Cross-Validate Data Cover

EVER-EST: The Platform Allowing Scientists to Cross-Fertilize and Cross-Validate Data

Open Access
|May 2020

Figures & Tables

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Figure 1

Research Object schematic representation.

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Figure 2

Example of a RO, visible troughs the ROHUB platform, encapsulating the deep Sea Habitat suitability model workflow, data, results and papers.

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Figure 3

Collaboration Sphere.

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Figure 4

EVER-EST overall logic.

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Figure 5

EVER-EST overall architecture.

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Figure 6

The EVER-EST VRCs.

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Figure 7

Land monitoring user interface showing a Detection Map.

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Figure 8

Sea monitoring user interface showing the Posidonia regression along Apulian coast.

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Figure 9

Visualisation in the VRE of a RO containing executable resources.

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Figure 10

Visualisation of hazard impact modelling output grid generated using Taverna workflow on VRE.

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Figure 11

Land Monitoring Use Case scheme.

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Figure 12

Overlay between SM and LM Research Object results.

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Figure 13

Jellyfish analysis Dashboard.

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Figure 14

Observations density.

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Figure 15

Map of computation of plume transmittance in the TIR-MODIS.

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Figure 16

Schematic view of the RO content.

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Figure 17

The VSM modelling tool performs geodetic data inversion of magmatic source.

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Figure 18

Schematic view of the RO content.

Language: English
Submitted on: Jan 26, 2019
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Accepted on: Oct 15, 2019
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Published on: May 8, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Mirko Albani, Rosemarie Leone, Federica Foglini, Francesco De Leo, Fulvio Marelli, Iolanda Maggio, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.