Showing 13 of total 13 results (show query)
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kinematics:Studying Sampled Trajectories
Allows analyzing time series representing two-dimensional movements. It accepts a data frame with a time (t), horizontal (x) and vertical (y) coordinate as columns, and returns several dynamical properties such as speed, acceleration or curvature.
Maintained by Pablo Rodriguez-Sanchez. Last updated 8 months ago.
60.0 match 1 stars 4.00 score 9 scriptsbioc
flowcatchR:Tools to analyze in vivo microscopy imaging data focused on tracking flowing blood cells
flowcatchR is a set of tools to analyze in vivo microscopy imaging data, focused on tracking flowing blood cells. It guides the steps from segmentation to calculation of features, filtering out particles not of interest, providing also a set of utilities to help checking the quality of the performed operations (e.g. how good the segmentation was). It allows investigating the issue of tracking flowing cells such as in blood vessels, to categorize the particles in flowing, rolling and adherent. This classification is applied in the study of phenomena such as hemostasis and study of thrombosis development. Moreover, flowcatchR presents an integrated workflow solution, based on the integration with a Shiny App and Jupyter notebooks, which is delivered alongside the package, and can enable fully reproducible bioimage analysis in the R environment.
Maintained by Federico Marini. Last updated 3 months ago.
softwarevisualizationcellbiologyclassificationinfrastructureguishinyappsbioconductorfluorescencemicroscopyparticlestracking
6.4 match 4 stars 5.62 score 8 scriptsjuergenknauer
bigleaf:Physical and Physiological Ecosystem Properties from Eddy Covariance Data
Calculation of physical (e.g. aerodynamic conductance, surface temperature), and physiological (e.g. canopy conductance, water-use efficiency) ecosystem properties from eddy covariance data and accompanying meteorological measurements. Calculations assume the land surface to behave like a 'big-leaf' and return bulk ecosystem/canopy variables.
Maintained by Juergen Knauer. Last updated 8 months ago.
4.3 match 7.23 score 124 scripts 17 dependentsstefanocoretta
rticulate:Articulatory Data Processing in R
A tool for processing Articulate Assistant Advanced™ (AAA) ultrasound tongue imaging data and Carstens AG500/1 electro-magnetic articulographic data.
Maintained by Stefano Coretta. Last updated 25 days ago.
phoneticssoftwaretongue-imageultrasoundultrasound-tongue-imaging
3.3 match 5 stars 5.88 score 17 scriptsbczernecki
thunder:Computation and Visualisation of Atmospheric Convective Parameters
Allow to compute and visualise convective parameters commonly used in the operational prediction of severe convective storms. Core algorithm is based on a highly optimized 'C++' code linked into 'R' via 'Rcpp'. Highly efficient engine allows to derive thermodynamic and kinematic parameters from large numerical datasets such as reanalyses or operational Numerical Weather Prediction models in a reasonable amount of time. Package has been developed since 2017 by research meteorologists specializing in severe thunderstorms. The most relevant methods used in the package based on the following publications Stipanuk (1973) <https://apps.dtic.mil/sti/pdfs/AD0769739.pdf>, McCann et al. (1994) <doi:10.1175/1520-0434(1994)009%3C0532:WNIFFM%3E2.0.CO;2>, Bunkers et al. (2000) <doi:10.1175/1520-0434(2000)015%3C0061:PSMUAN%3E2.0.CO;2>, Corfidi et al. (2003) <doi:10.1175/1520-0434(2003)018%3C0997:CPAMPF%3E2.0.CO;2>, Showalter (1953) <doi:10.1175/1520-0477-34.6.250>, Coffer et al. (2019) <doi:10.1175/WAF-D-19-0115.1>, Gropp and Davenport (2019) <doi:10.1175/WAF-D-17-0150.1>, Czernecki et al. (2019) <doi:10.1016/j.atmosres.2019.05.010>, Taszarek et al. (2020) <doi:10.1175/JCLI-D-20-0346.1>, Sherburn and Parker (2014) <doi:10.1175/WAF-D-13-00041.1>, Romanic et al. (2022) <doi:10.1016/j.wace.2022.100474>.
Maintained by Bartosz Czernecki. Last updated 12 months ago.
capecinconvective-parametersdownload-soundinghodographrawinsondesevere-weatherthundertornadocpp
2.1 match 45 stars 6.31 score 7 scriptsmladenjovanovic
shorts:Short Sprints
Create short sprint acceleration-velocity (AVP) and force-velocity (FVP) profiles and predict kinematic and kinetic variables using the timing-gate split times, laser or radar gun data, tether devices data, as well as the data provided by the GPS and LPS monitoring systems. The modeling method utilized in this package is based on the works of Furusawa K, Hill AV, Parkinson JL (1927) <doi: 10.1098/rspb.1927.0035>, Greene PR. (1986) <doi: 10.1016/0025-5564(86)90063-5>, Chelly SM, Denis C. (2001) <doi: 10.1097/00005768-200102000-00024>, Clark KP, Rieger RH, Bruno RF, Stearne DJ. (2017) <doi: 10.1519/JSC.0000000000002081>, Samozino P. (2018) <doi: 10.1007/978-3-319-05633-3_11>, Samozino P. and Peyrot N., et al (2022) <doi: 10.1111/sms.14097>, Clavel, P., et al (2023) <doi: 10.1016/j.jbiomech.2023.111602>, Jovanovic M. (2023) <doi: 10.1080/10255842.2023.2170713>, Jovanovic M., et al (2024) <doi: 10.3390/s24092894>, and Jovanovic M., et al (2024) <doi: 10.3390/s24196192>.
Maintained by Mladen Jovanović. Last updated 5 months ago.
2.5 match 14 stars 4.45 score 4 scriptsroaldarbol
animovement:An R toolbox for analysing animal movement across space and time
An R toolbox for analysing animal movement across space and time.
Maintained by Mikkel Roald-Arbøl. Last updated 2 months ago.
animal-behaviouranimal-movementneuroethologyneuroscience
1.9 match 10 stars 4.81 score 8 scriptsshivaway
IAPWS95:Thermophysical Properties of Water and Steam
Functions for Water and Steam Properties based on the International Association for the Properties of Water (IAPWS) Formulation 1995 for the Thermodynamic Properties of Ordinary Water Substance for General and Scientific Use and on the releases for viscosity, conductivity, surface tension and melting pressure.
Maintained by Shawn Way. Last updated 2 years ago.
1.8 match 4.76 score 116 scriptsnoctiluc3nt
meteoEVT:Computation and Visualization of Energetic and Vortical Atmospheric Quantities
Energy-Vorticity theory (EVT) is the fundamental theory to describe processes in the atmosphere by combining conserved quantities from hydrodynamics and thermodynamics. The package 'meteoEVT' provides functions to calculate many energetic and vortical quantities, like potential vorticity, Bernoulli function and dynamic state index (DSI) [e.g. Weber and Nevir, 2008, <doi:10.1111/j.1600-0870.2007.00272.x>], for given gridded data, like ERA5 reanalyses. These quantities can be studied directly or can be used for many applications in meteorology, e.g., the objective identification of atmospheric fronts. For this purpose, separate function are provided that allow the detection of fronts based on the thermic front parameter [Hewson, 1998, <doi:10.1017/S1350482798000553>], the F diagnostic [Parfitt et al., 2017, <doi:10.1002/2017GL073662>] and the DSI [Mack et al., 2022, <arXiv:2208.11438>].
Maintained by Laura Mack. Last updated 10 months ago.
atmospheric-dynamicsdsimeteorologyvorticity
2.0 match 4.18 scoremarcoklh
afpt:Tools for Modelling of Animal Flight Performance
Allows estimation and modelling of flight costs in animal (vertebrate) flight, implementing the aerodynamic power model described in Klein Heerenbrink et al. (2015) <doi:10.1098/rspa.2014.0952>. Taking inspiration from the program 'Flight', developed by Colin Pennycuick (Pennycuick (2008) "Modelling the flying bird". Amsterdam: Elsevier. ISBN 0-19-857721-4), flight performance is estimated based on basic morphological measurements such as body mass, wingspan and wing area. 'afpt' can be used to make predictions on how animals should adjust their flight behaviour and wingbeat kinematics to varying flight conditions.
Maintained by Marco KleinHeerenbrink. Last updated 1 years ago.
2.0 match 2 stars 4.14 score 23 scriptsmkoohafkan
rivr:Steady and Unsteady Open-Channel Flow Computation
A tool for undergraduate and graduate courses in open-channel hydraulics. Provides functions for computing normal and critical depths, steady-state water surface profiles (e.g. backwater curves) and unsteady flow computations (e.g. flood wave routing) as described in Koohafkan MC, Younis BA (2015). "Open-channel computation with R." The R Journal, 7(2), 249–262. <doi: 10.32614/RJ-2015-034>.
Maintained by Michael C Koohafkan. Last updated 7 months ago.
1.3 match 20 stars 5.71 score 17 scriptsateshkoul
PredPsych:Predictive Approaches in Psychology
Recent years have seen an increased interest in novel methods for analyzing quantitative data from experimental psychology. Currently, however, they lack an established and accessible software framework. Many existing implementations provide no guidelines, consisting of small code snippets, or sets of packages. In addition, the use of existing packages often requires advanced programming experience. 'PredPsych' is a user-friendly toolbox based on machine learning predictive algorithms. It comprises of multiple functionalities for multivariate analyses of quantitative behavioral data based on machine learning models.
Maintained by Atesh Koul. Last updated 6 years ago.
3.1 match 1.60 score 9 scripts