All software
admtools
Estimate age-depth models in geology and use them to transform various types of data (fossil ages, phylogenetic trees, trait evolution of lineages) between the time domain and the stratigraphic domain.
- Age-depth modeling
- Geochronology
- Sedimentology
- + 1
- R
asrlitcompare
A tool written in rmarkdown for assessing the level of agreement between two raters following screening in ASReview. Users only need the two .csv files downloaded from ASReview, and the tool will automatically compile a summary report as an HTML file, viewable in your web browser.
- ASReview
- inter-rater reliability
- literature screening
- + 1
- HTML
- C++
- JavaScript
- + 14
BridgeDbR
R package for the BridgeDb Java library making identifier mapping functionality available in the R environment.
- persistent identifiers
- Statistics
- R
- TeX
- HTML
clumped-processing
Clumped isotope measurement processing script for Thermo Fisher MAT 253 plus isotope ratio mass spectrometer with the Kiel IV
- clumped isotope
- Data Analysis
- mass spectrometry
- + 3
- HTML
- R
clumpedr
Clumpedr aims to facilitate analysis of clumped isotope data. It builds on isoreader which is used to import raw data files from the mass spectrometer, and most of the important data processing parts are based on Huntington et al. 2009 and Daëron et al. 2016.
- Data Analysis
- mass spectrometry
- R
- Makefile
- Rez
rcrisp
rcrisp provides tools to automate the morphological delineation of riverside urban areas.
- Data Analysis
- geospatial
- R
- + 1
- R
- TeX
CrowdED
CrowdED is a two-staged statistical guideline for optimal crowdsourcing experimental design in order to a-priori estimate optimal workers and tasks' assignment to obtain maximum accuracy on all tasks.
- Citizen Science
- Crowdsourcing
- Data Simulation
- Python
- R
- Dockerfile
cvasl
This library allows exploration and analyses of neuroimaging datsets. The software was developed to allow implementation of multiple large data harmonization and machine learning algorithms over neuroradiology datasets. The core algorithms are implemented in Python.
- Jupyter Notebook
- Python
- R
- + 3
EEG epilepsy diagnosis
R package developed to extract features from multivariate time series from EEG data and feed them into a random forest classifier.
- Machine learning
- R
- Rebol
grpc4bmi
Run, read and write model state of a numerical simulation written in a variety of languages remotely from Python
- Multi-scale & multi model simulations
- Python
- C++
- Dockerfile
- + 5
H-gear
This tool analyzes the transmission of political ideas during the American Revolution. It enables users to track shifts in concepts in letter correspondence networks, using semi-supervised topic modeling and temporal social network modeling to reveal ideological shifts and identify key influencers.
- American Revolution
- semi-supervised topic modeling
- social network analysis
- + 2
- R
- Python
- Batchfile
m4ma
An R package containing C++ implementations to speed up the simulation and parameter estimation of the Predictive Pedestrian model.
- geospatial
- High performance computing
- Real time data analysis
- C++
- R
- C