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r37980778c78--ac9b9bea256b618273d284ce29bd73e8
See the improved changelog-detailed.md for a detailed list of semantic changes in the EDAM ontology. Summary of changes 20 formats added (listed in changelog-detailed.md)... -
r37980778c78--a7007b3b8857f74a7474f892a71f9acf
This record collates DOIs for the software components used in 'Code generation for generally mapped finite elements'. The Firedrake components and dependencies used were:... -
r37980778c78--1e9eab8c44414354f10670a159aac769
This is the analysis code for our paper at https://doi.org/10.1016/j.bbagrm.2019.194444 It was used to generate all figures in the article (report directory). -
r37980778c78--244fc452eb6de2b084fa15e99c118fa1
SMPS toolkit is a handy tool (Igor Pro based) to process SMPS data exported by TSI AIM software. Multiple files (*.csv; *.txt) can be imported at one time and then generate... -
r37980778c78--905748fea9521b1bf8cb506b658c4d2b
This file contains all the scripts and formated data that were used for the ms entitled "The quiescent X, the replicative Y and the Autosomes" by Achaz et al. The biorxiv... -
r37980778c78--ed36eca0b84c4f8c82532ac4f8793114
This record collates DOIs for the software components used in 'Goal-Oriented Error Estimation and Mesh Adaptation for Shallow Water Modelling'. The Firedrake components and... -
r37980778c78--9155fc8f5584b9bb5351aac10365452e
This file or directory contains supplementary material (code) for Chapter 7 in 'Modeling excitable tissue - the EMI framework' by A. P. Buccino, M. Kutcha, J. Schreiner, and K.... -
r37980778c78--d4ea2563bf9c9a1dbbbdf8378c47ac91
Se ha propuesto muchos modelos para determinar el comportamiento epidemiológico del Covid-19 . Aquí proponemos un modelo sigmoidal que sus parámetros son ajustados mediante un... -
r37980778c78--4d9232bd7b670907cdd7dab087011712
Modified WRF-Chem v3.7.1 described in Lupascu and Butler, Atmos. Chem. Phys. -
r37980778c78--5f47dce6e6b28ad7798b61bf59bc4756
Opportunistically collected photographs can be used to estimate large-scale phenological trends This is the code used the above analysis. The preprint for the manuscript is... -
r37980778c78--e9d8580007a36032d0b9ce329cb7b01c
DOWNLOAD THE TUTORIAL FROM: https://bitbucket.org/orianif/g2s_time_series_tutorial/downloads/ GIT repository: https://bitbucket.org/orianif/g2s_time_series_tutorial/src/master/ -
r37980778c78--40e5a69092f83f2b0db2246b18e0a2d3
BIOTHINGS comes to the rescue of the distressed novice bioinformatics scientific. It helps to build working pipelines minimizing the delay to bring your ideas into action.... -
r37980778c78--2d0cf5363e798e0b723a4b88be3d38a6
This record collates DOIs for the software components used in 'Code generation for generally mapped finite elements'. The Firedrake components and dependencies used were:... -
r37980778c78--88fb9cb056322c62e7ee9de1a8aafcf3
This records collates DOIs for the software components used in 'Code generation for generally mapped finite elements'. The Firedrake components and dependencies used were:... -
r37980778c78--5de8624cc6c0946264644d8be85e0541
Python code to teach NAO to answer questions. Actually, Alexander achieved the first steps of communication. current status of development:... -
r37980778c78--963d18f2f29e1e5ffc34e69658b8a8ac
This script is a modified version of the script implemented by Leighton Pritchard (https://github.com/widdowquinn/scripts/blob/master/bioinformatics/run_...) for the MLST... -
r37980778c78--640cbe0f77afa963c6b2a7ff51934013
This entry contains legacy code that was used to perform the experiments for the paper Ackermann M.R., Märtens M., Raupach C., Swierkot K., Lammersen C., Sohler C.,... -
r37980778c78--d146f1f623b49dfab0dca0d60da418b3
Python code to teach NAO to answer questions. Actually, Alexander achieved the first steps of communication. current status of development:... -
r37980778c78--139f33293a193cef5c20b9097df3c79c
This record collates DOIs for the software components used in 'Anisotropic Goal Oriented Mesh Adaptation in Firedrake'. The Firedrake components and dependencies used were:... -
r37980778c78--5650e659d96b15f01047e462478a0538
The Audio Commons Ontology provides main concepts and properties for describing audio content, both musical and non-musical, on the Semantic Web. It has been developed as part...
