Search Results for "mac software"

The Modular System for Shelves and Coasts (MOSSCO) is a coupling framework for Earth System Models. It helps users to integrate their own numerical models with other developments. Quick Start: git clone git://git.code.sf.net/p/mossco/setups mossco-setups git clone git://git.code.sf.net/p/mossco/code mossco-code cd mossco-code cat QuickStart.md or read online https://sf.net/p/mossco/code/ci/master/tree/QuickStart.md Beware: this is alpha software, expect...

Homepage & docs: http://marcoalopez.github.io/GrainSizeTools/ GrainSizeTools is a free, open-source, cross-platform script written in Python that provides several tools for (1) estimating average grain size in polycrystalline materials, (2) characterizing the nature of the distribution of grain sizes (either from apparent distributions or approximating 3D grain size distributions via stereology), and estimating differential stress via paleopizometers. The script requires as the input the...

HistogramsApp is a Python 3.6 application that generates (KDE and PDP) from geochronological data .HistogramsApp allows to interactively setup plot parameters such as the bandwidth and the peak detection sensibility. To cite the application please refer to: 1) https://www.tandfonline.com/doi/abs/10.1080/00206814.2021.1954556?journalCode=tigr20 Rodriguez-Corcho, A. F., Rojas-Agramonte, Y., Barrera-Gonzalez, J. A., Marroquin-Gomez, M. P., Bonilla-Correa, S., Izquierdo-Camacho, D.,...

GEOMS2 is a geostatistics and geosciences modeling software. Provides interface for grid (mesh), point, surface and data (non-spatial) objects. It has a 3D viewer and 2D plots using the well known Python engines Mayavi and Matplotlib. It has several functions to manipulate your data as well as provide univariate and multivariate analysis. NOTE: The software is still an early beta. Please tell us if you found a bug. Download datasets for students of Geostatistics 2017 (Petroleum...

This is a repository for software that is needed to communicate with the data loggers of CORK borehole observatories (mlterm) and to convert and post-process the data. Have a look at http://www.corkobservatories.org/ for an introduction to CORKs.

WeeWX is a free, open source, software program, written in Python, which interacts with your weather station to produce graphs, reports, and HTML pages. Downloads can be found at http://weewx.com/downloads Development happens at https://github.com/weewx/weewx

SnowMicroPyn is an opensource reader for SnowMicroPen® files in binary .pnt format. The reader is Python based and published as source code as well as compiled executable for Windows, Linux and Mac. The software is preliminary, thus please report bugs. For further information, please read the Readme.txt in the download section. The SnowMicroPen® (SMP) is developed by the WSL Institute for Snow and Avalanche Research, Davos. The SMP is the first high-resolution snow penetrometer. It is capable of measuring the bonding force between snow grains, with both high spatial resolution and high speed. ...

Echoproc is a piece of scientific analysis software used to extract physical ice sheet characteristics from radio echograms from experiments like the Center for the Remote sensing of ice sheets (https://www.cresis.ku.edu/)

Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.

Add-ons to the ECMWF GRIB API. This project is about developing and maintaining add-ons to the GRIB API, like language bindings or documentation. The main GRIB API page is at http://www.ecmwf.int/products/data/software/grib_api.html

The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A genetic algorithm and Markov simulations are currently implemented.

PySDB is simple to use field data manager for structural geologists written in Python. Data are traditionally organized by sites and rock units, classified by structural types and could be freely tagged by user-defined labels.