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Items tagged with "simulation" (23)

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Files (14)
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Blob Simulation results

Created: 2011-03-23 09:52:21 | Last updated: 2011-03-23 09:52:24

Credits: User John Brookes

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Results from the circle drawing functions RTL simulation.

File type: Trident (Package)

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Project Biovel

Blob TEST DEMO EPC GRASSLAND MuSo v2.2 HARMONY

Created: 2014-05-26 05:55:49

Credits: User Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

TEST DEMO EPC file 'HARMONY' for Biome-BGC MuSo v2.2 simulation runs

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Project Biovel

Blob TEST DEMO EPC GRASSLAND MuSo v2.2 NITROGEN

Created: 2014-05-26 05:57:25

Credits: User Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

TEST DEMO EPC file 'NITROGEN' for Biome-BGC MuSo v2.2 simulation runs

File type: Trident (Package)

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Project Biovel

Blob TEST DEMO EPC GRASSLAND MuSo v2.2 LEAFAREA

Created: 2014-05-26 05:58:54

Credits: User Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

TEST DEMO EPC file 'LEAFAREA' for Biome-BGC MuSo v2.2 simulation runs

File type: Trident (Package)

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Project Biovel

Blob TEST DEMO METDATA FOR Biome-BGC, HHS, 1901-2000

Created: 2014-05-26 06:01:41

Credits: User Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

TEST DEMO METDATA (daily meteorology data) file for Biome-BGC simulation runs

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Project Biovel

Blob TEST DEMO METDATA + FORESEE FOR Biome-BGC, HHS, 190...

Created: 2014-05-26 06:05:43

Credits: User Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

TEST DEMO METDATA (daily meteorology data) file for Biome-BGC simulation runs, HHS (Hegyhátsál, HU), 1901-2100, predictions is came from FORESEE CLM regional model output

File type: Trident (Package)

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Project Biovel

Blob TEST DEMO METDATA FOR Biome-BGC, HHS, 2001-2002

Created: 2014-05-26 06:07:20

Credits: User Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

TEST DEMO METDATA (daily meteorology data) file for Biome-BGC simulation runs, HHS (Hegyhátsál, HU), 2001-2002

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Project Biovel

Blob TEST DEMO Daily Observation Data 2001-2002 - AIR

Created: 2014-05-26 06:39:44

Credits: User Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

TEST DEMO Daily Observation Data 2001-2002 - AIR for GLUE analysis

File type: text/csv

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Project Biovel

Blob TEST DEMO Daily Observation Data 2001-2002 - HUMUS

Created: 2014-05-26 06:40:56

Credits: User Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

TEST DEMO Daily Observation Data 2001-2002 - HUMUS for GLUE analysis

File type: text/csv

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Project Biovel

Blob TEST DEMO Daily Observation Data 2001-2002 - NINE

Created: 2014-05-26 06:42:09 | Last updated: 2014-05-26 09:40:45

Credits: User Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

TEST DEMO Daily Observation Data 2001-2002 - NINE for GLUE analysis

File type: text/csv

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Project Biovel

Blob TEST DEMO Daily Observation Data 2001-2002 - AIR

Created: 2014-05-26 09:43:22

Credits: User Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

TEST DEMO Daily Observation Data 2001-2002 - AIR for GLUE analysis

File type: text/csv

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Project Biovel

Blob TEST DEMO Daily Observation Data 2001-2002 - HUMUS

Created: 2014-05-26 09:44:56

Credits: User Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

TEST DEMO Daily Observation Data 2001-2002 - HUMUS for GLUE analysis

File type: text/csv

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Project Biovel

Blob TEST DEMO Daily Observation Data 2001-2002 - AIR

Created: 2014-05-27 15:18:56

Credits: User Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

TEST DEMO Daily Observation Data 2001-2002 - AIR

File type: text/csv

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Project Biovel

Blob TEST DEMO Daily Observation Data 2001-2002 - HUMUS

Created: 2014-05-27 15:20:38

Credits: User Ferenc HORVATH

License: Creative Commons Attribution-Share Alike 3.0 Unported License

TEST DEMO Daily Observation Data 2001-2002 - HUMUS

File type: text/csv

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Packs (1)
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Project Biovel

Pack Preparatory working with Biome-BGC Projects database...


Created: 2014-05-26 06:10:06 | Last updated: 2014-05-27 15:23:06

Various meteorology, EPC (ecophysiology parameter) and observation files for Biome-BGC simulation runs.

9 items in this pack

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Workflows (8)
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Workflow FIELD-II ultrasound simulation (1)

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Workflow implementing ultrasound simulation using FIELD-II http://server.electro.dtu.dk/personal/jaj/field/. Developped by the Virtual Imaging Platform (http://www.creatis.insa-lyon.fr/vip).

Created: 2011-04-18

Credits: User Glatard

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Workflow Computed Tomography with Sindbad (1)

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This workflow implements computed tomography (CT) simulation with the Sindbad software. It is developped by the Virtual Imaging Platform (http://www.creatis.insa-lyon.fr/vip).

Created: 2011-04-18 | Last updated: 2011-04-18

Credits: User Glatard

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Workflow Positron Emission Tomography simulation wi... (1)

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This workflow implements Positron Emission Tomography simulation with PET-Sorteo http://sorteo.cermep.fr/. It is developped by the Virtual Imaging Platform (http://www.creatis.insa-lyon.fr/vip).

Created: 2011-04-18 | Last updated: 2011-04-18

Credits: User Glatard

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Workflow Magnetic Resonance Image simulation with S... (1)

This workflow implements MRI simulation with SIMRI (http://simri.eu). It is developped by the Virtual Imaging Platform (http://www.creatis.insa-lyon.fr/vip).

Created: 2011-04-18 | Last updated: 2011-04-18

Credits: User Glatard

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Project Biovel

Workflow Biome-BGC MCE 1.4.1 (4)

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Biome-BGC is a process-based biogeochemical model that can be used to simulate carbon, nitrogen and water fluxes of different terrestrial ecosystems. Two models were implemented: Biome-BGC 4.1.1 MPI (Trusilova et al. 2009) and Biome-BGC MuSo 3.0 (Hidy & Barcza 2014). Its has about 40 and 60 various parameters. The only way to estimate or set these parameters is "calibration" (data-model-harmonization or model-data-fusion), which demands a hugh amount of computational capacity. Monte Carlo Exp...

Created: 2013-06-04 | Last updated: 2014-10-04

Credits: User Ferenc HORVATH User Zoltan BARCZA User Dora Krasser User Peter Ittzes Network-member BioVeL

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Project Biovel

Workflow Biome-BGC ESI version 1.4.1 (3)

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Biome-BGC is a process-based biogeochemical model that can be used to simulate carbon, nitrogen and water fluxes of different terrestrial ecosystems. The model can help us to quantify a broad range of ecosystem service indicators. These newly developed measures include: annual wood increment, yearly production of grasslands or croplands, total average carbon stock, annual evapotranspiration, damping of ecosystem daily water outflow, living and dead biomass protecting the soil against erosion,...

Created: 2013-08-12 | Last updated: 2014-10-04

Credits: User Ferenc HORVATH User Dora Krasser User Peter Ittzes Network-member BioVeL

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Project Biovel

Workflow Biome-BGC CARBON 1.2 (4)

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Biome-BGC is a process-based biogeochemical model that can be used to simulate carbon, nitrogen and water fluxes of different terrestrial ecosystems. A new version of the model, called Biome-BGC MuSo was developed to perform more realistic simulations in terms of soil hydrology, and improved ecosystem management options essentially (Hidy et al. 2012; Hidy & Barcza 2014). The Biome-BGC CARBON service executes a single simulation run at a given geographic location under that distinctive environ...

Created: 2013-06-04 | Last updated: 2015-06-12

Credits: User Ferenc HORVATH User Dora Krasser User Peter Ittzes User Zoltan BARCZA Network-member BioVeL

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Project Biovel

Workflow Biome-BGC SA 1.3 (1)

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Biome-BGC is a process-based biogeochemical model that can be used to simulate carbon, nitrogen and water fluxes of different terrestrial ecosystems. Two models have been implemented: the Biome-BGC v4.1.1 Max Planck Institute model, and the newly developed Biome-BGC MuSo 3.0 model. Performance, success or failure of these models are highly dependent on parameter settings and variation. Due to the high number of parameters (around 40 and 60 for 4.1.1 MPI and MuSo respectively) and the non-line...

Created: 2014-10-04

Credits: User Ferenc HORVATH User Dora Krasser User Peter Ittzes User Zoltan BARCZA Network-member BioVeL

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