Showing 18 open source projects for "python data analysis"

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  • 1
    PAMGUARD

    PAMGUARD

    Detection Classification and Localisation of marine mammals

    The PAMGUARD project develops software to help detect, locate and classify marine mammals using Passive Acoustic Monitoring. This project is being migrated to github at https://github.com/PAMGuard. Please go there for the latest updates. thank you sourceforge for hosting us for all these years.
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    Downloads: 0 This Week
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  • 2

    GenoCline

    GenoCline is a free Java software for genetic cline analysis

    Identification of clines from allele frequency or genome-wide databases. Angular transformation. Sigmoid function. Parameterization of a cline: orientation, Pearson’s product-moment correlation coefficient, linear and sigmoid regression and coefficient of determination. Graphical representation of the cline. Confidence limits. Spatial autocorrelation. Moran's index. Isolation by distance. Exponential regression. Correlation Fst/Distance. Centroid method. Cline's expected vs. predicted...
    Downloads: 0 This Week
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  • 3

    Piko stats

    Piko solar inverter data communicator and manager

    Piko solar inverter interface. Get online real time data and status. Get also history data. Database management of data. Exports, graphs, ... Manage data and stats using a SQLite or MySQL database. Third party intergration. See the Wiki home page for more informations.
    Downloads: 1 This Week
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  • 4
    Hydroponic Automation Platform (HAPI)

    Hydroponic Automation Platform (HAPI)

    Technologies for automating food production on various scales

    The Hydroponic Automation Platform Initiative (HAPI) develops and provides hardware and software components for automating food production using hydroponic, aquaponics, and precision agriculture techniques. High-yield production in urban settings is one of the primary goals. Artifacts include hardware design (mainly Arduino-based), firmware, management software and reporting modules.
    Downloads: 0 This Week
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  • 5
    phenotemp

    phenotemp

    phenological trends using NOAA AVHRR time series

    Starting from GIMMS values as ascii data (each line will be treated as individual time series), the application can smooth the ts - values by applying different algorithm that are based on Fouriertransformation. Separation of seasonal figure as well as the detection of linear trends is possible. Possible breaks in longterm mean can be detected with a change-point analysis using CuSum algorithms.
    Downloads: 0 This Week
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  • 6
    PyRadMon

    PyRadMon

    Automated reporting of Geiger Muller counter readings to RadMon.org

    This project includes several Python and bash scripts designed to connect Geiger Muller counters to report their results to RadMon.org. Soon the script will also feature local logging, graphing and alerting. Just because the Cold War is "over" does not mean that there is no more threat of a radiological attack. In fact, the U.S. Homeland Security Council lists the "Detonation of a 10 Megaton Improvised Nuclear Device" as "Scenario #1" among the top 15 threats to American security. Or,...
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  • 7
    PyPak is a Python library for communication with Campbell Scientific dataloggers through the PakBus interface over TCP/IP or serial lines.
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  • 8

    u/sbmv2012

    Taxonomy assignment of metazoans using a python based pipeline

    The aim of this project is to create an automated pipeline for taxonomic assignment of DNA sequences obtained from environmental samples. We develop a series of python scripts to process the raw sequence data obtained from benthic environmental samples and to taxonomical assignment of these sequences and finally to integrate all data in a relational database.
    Downloads: 0 This Week
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  • 9
    R package for analysis of ichthyoplanckton data. Please visit the ichthyoanalysis WIKI for more information and for collaboration
    Downloads: 0 This Week
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  • 10
    EDAS2 is a web-based environmental quality data management and decision support framework
    Downloads: 0 This Week
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  • 11
    A toolbox of open source geospatial essentials
    Downloads: 0 This Week
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  • 12
    BioMa is a specimen based Biodiversity database Manager. It is designed to store, organize, and manipulate biodiversity-related scientific data, either for the purposes of museums, scientific collections, or research projects.
    Downloads: 0 This Week
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  • 13
    birdweights is a a package of scripts to analyze data from an automated system for the measurement of mass and identification of birds at perches.
    Downloads: 0 This Week
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  • 14
    Framework for storing and editing Forestry-related XML data, with a specialised graphical interface for each object type. Plug-in API for adding functionality. Coded in Java, uses WebStart for distribution, swing GUI, ~100k lines of code.
    Downloads: 0 This Week
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  • 15
    MBAS -- Macro-Biological Analysis System -- provides a set of interoperable tools for aid in the analysis of biological data. The backing database is currently PostgreSQL and the primary language is C, though some data entry tools are written in Java.
    Downloads: 0 This Week
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  • 16
    This is a collection of Python functions, with which data can be exported from the Python environment to a file which can be viewed in GoogleEarth.
    Downloads: 0 This Week
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  • 17

    geoscipy

    Python-accessible toolkit for Geoscience & Remote Sensing Applications

    GeoSciPy is a set of C and Python functions that provide an API for all aspects of Geoscience and Remote Sensing Applications. Functions include reading/writing of many data formats, images, vectors, ..., and processing of images, vectors, ... including map projections, ... The library is written C, using HDF5 as the file format for storage of all remotely-sensed data and ancillary data, as well as processed data.
    Downloads: 0 This Week
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  • 18
    Obs-dm aims to provide a robust and reliable way to collect, analyze, and share observational data. It is being designed for extendability into other areas such as fisheries and habitat science.
    Downloads: 0 This Week
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