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Showing 38 results. Use the filters on the left and the search box below to refine the results.
Tag: biovel Licence: by-sa
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Project Biovel

Workflow BioVeL ESW DIFF - ENM Statistical Workflow... (16)

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The ENM Statistical Difference Workflow (ESW DIFF) allows the computation of the extent and intensity of change in species potential distribution through computation of the differences between two raster layers using the R statistical environment (R Core Team 2013). The difference file is computed from two input files (in this case present projection and 2050 projection) coming from the Ecological Niche Modelling (ENM) Workflow (http://www.myexperiment.org/workflows/3355). The difference bet...

Created: 2013-07-08 | Last updated: 2016-06-22

Credits: User Robert Kulawik

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Project Biovel

Workflow BioVeL ESW STACK - ENM Statistical Workflo... (5)

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The ENM Statistical Stack Workflow (ESW STACK) allows the computation of the extent, intensity and a cummulated potential species distribution through computation of an average sum layer from the input raster layers using the R statistical environment (R Core Team 2013). The sum layer is computed from all input files. e.g from different distribution of species as a mean value from each corresponding raster cell values, coming from the Ecological Niche Modelling (ENM) Workflow (http://www.myex...

Created: 2013-10-13 | Last updated: 2016-06-22

Credits: User Robert Kulawik

Workflow Microbial Metagenomic Trait Statistical An... (9)

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This workflow retrieves the following microbial metagenomic traits from the Microbial Metagenomic Trait Database: -GC content -Variance of GC content -Dinucleotides -Number of rRNA -Codon usage -Amino acid composition -Acidic to basic amino acids ratio -% of Transcriptional factors -% of classified reads -Functional content -Functional diversity -Taxonomic content -Taxonomic diversity After the retrieval performs the ecological analyses described in Barberan et al. 2012 (http://dx.doi.or...

Created: 2012-12-19 | Last updated: 2014-11-12

Credits: User Antonio Fernandez-Guerra User Renzo User Peliny 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

Attributions:

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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

Workflow Species Occurrence (1)

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Retrieve the first 100 occurrences of a species in Darwin format

Created: 2014-10-03

Credits: User Alan Williams

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Project Biovel

Workflow Biome-BGC GLUE 1.3 (2)

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Biome-BGC is working with a lots of ‘a priori’ unknown and hard to obtain model parameters. Therefore the parameterization is a critical step of using the model. Parameteres can be estimated using inverse calibration techniques based on measurement data, which means that the model is being calibrated. Measurement data have to be collected with respect to the model in order to compare them. Comparison is based on misfit measure (e.g. a sort of likelihood value), which is the function of the di...

Created: 2014-10-02 | Last updated: 2014-10-09

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

Workflow Exploration of fishing scenarios (1)

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This workflow must run after the workflow: Resident killer whale-chinook salmon interactions. The interaction workflows generates a PostWorkspace file, this is a zip file and it is an R Workspace that transfers values from the Resident killer whale-chinook salmon interactions (main) workflow to the Exploration of fishing scenario (post-processing) workflow. This workflow merges statistical inference derived from linkages between RKW vital rates (survival probability and fecundity rates) a...

Created: 2014-09-26

Credits: User Maria Paula Balcazar-Vargas User Antonio Velez-Espino User Andres Araujo User Jon Giddy User Francisco Quevedo

Attributions: Workflow Resident killer whale-chinook salmon interactions

Workflow Resident killer whale-chinook salmon inter... (1)

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The resident killer whale-chinook salmon interactions workflow provides an environment to calculate a two-sex stage-structured matrix with no density dependence and with vital rates as random variables or as functions of Chinook abundance from specific stock aggregates and to (i) quantify the differences in demographic rates between killer whale (Orcinus orca) population that explain population growth; (ii) to determine the relative influence of vital rates and Chinook (Oncorhynchus tshawytsc...

Created: 2014-09-26

Credits: User Maria Paula Balcazar-Vargas User Antonio Velez-Espino User Andres Araujo User Jon Giddy User Francisco Quevedo

Attributions: Workflow Killer whale demography

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