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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--ee40f502a5e37caaaa648421d59c1a86
As part of the CODATA-RDA Research Data Science Summer School in Trieste (6-17 Aug 2018), ELIXIR Training has contributed in the organization of the flanking Advanced... -
r37980778c78--407ff8659f7d482eefa5bafddd3f83f7
This project uses bootstrap and html to analyze NFL player data and CTE among athletes. -
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--4de9f6b6fb3918ce5b132f5b6ca58328
This record collates DOIs for the software components used in 'A study of vectorization for matrix-free finite element methods'. The Firedrake components and dependencies used... -
r37980778c78--4ffdef1481ee239cdac5c8e88d0992bc
This release contains the basic code with exemplary data from South Africa -
r37980778c78--83e656acc5d8fc9cf5754cae32fd8738
Wikidata and wikibase description and validation tool using Shapes. -
r37980778c78--a0bcf6504cc06193de8c60b36be72a9d
This Julia code is accompanying the paper Decompounding discrete distributions: a non-parametric Bayesian approach by Shota Gugushvili, Ester Mariucci and Frank van der Meulen.... -
r37980778c78--df6f4c2d732393e7174268128a30e75f
magicCalling v0.0.2 magicCalling is an R package for converting raw marker data into marker alleles. It implements two novel methods. The first is a model-based clustering... -
r37980778c78--e942f6ecaa8b048b1585cab0b0205022
These are the data files associated with the Jupyter notebook analyzing_mutations_with_trained_models in Selene. -
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--a47aecc47606ed5050f2d1d2d1ece66a
A MatLab code producing a model estimate of energy and efficiency in Extended Emission produced in black hole spin-down against a thick torus. It uses numerical integration of... -
r37980778c78--ce3004972cb29d52684392f99fa111c0
This contains the scripts we used while mining git repositories to quantify and characterize three different types of "Ghost Commits": MG 1, MG 2, and FG. -
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--b59768165c3cf15dd2f0f5227ab97081
This rascal project contains the source code used in the "Challenges for Static Analysis of Java Reflection – Literature Review and Empirical Study" paper submitted to ICSE... -
r37980778c78--076c89672b380a6d979f84e5f9d6fd63
This is the initial packaging of the scripts and data sources used to generate the default emissions inventory for MARC; these are intended as supplements or modifications to... -
r37980778c78--a94d60b479819dfd5ce86a9ad943b532
Marine GIS database in Hong Kong This is the graduation project under the Master Program -- Environmental Management (MSc EnvMan) in The University of Hong Kong. The Swire... -
Geant4 10.04.03 Windows Installer (Full functionality)
Alternative Windows installer for Geant4 10.04.03. (see also the official one http://geant4.web.cern.ch/node/1604). It is self-consistent, i.e. it does not require to install... -
r37980778c78--d4efb18619255bf382fc8903cb5349e0
These are Matlab supporting the manuscript `Block-proximal methods with spatially adapted acceleration', available at https://arxiv.org/abs/1609.07373.
