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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

Figure 1

Research Object schematic representation.

Figure 2

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

Figure 3

Collaboration Sphere.

Figure 4

EVER-EST overall logic.

Figure 5

EVER-EST overall architecture.

Figure 6

The EVER-EST VRCs.

Figure 7

Land monitoring user interface showing a Detection Map.

Figure 8

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

Figure 9

Visualisation in the VRE of a RO containing executable resources.

Figure 10

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

Figure 11

Land Monitoring Use Case scheme.

Figure 12

Overlay between SM and LM Research Object results.

Figure 13

Jellyfish analysis Dashboard.

Figure 14

Observations density.

Figure 15

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

Figure 16

Schematic view of the RO content.

Figure 17

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

Figure 18

Schematic view of the RO content.

Language: English
Page range: 21 - 21
Submitted on: Jan 26, 2019
Accepted on: Oct 15, 2019
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.