Showing 7 open source projects for "data science"

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    iTag

    iTag

    Tag images using various categories and modifiers

    iTag has been designed for researchers that rely on photographic census techniques of animals that are hard to detect via image recognition algorithms and was originally developed for counting Grey Seals in the German wadden sea during March 2013. It has since then been further expanded and has now reached beta status. iTag allows Users to define up to 9 different categories and name them accordingly. In addition, 4 modifiers are available to further increase the options during a tagging...
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    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.
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  • 3
    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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  • 4

    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.
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  • 5
    ECMWF parser is a software made in python (it has a version standalone and another python dependant) to work on the data provided by ECMWF. It uses WGRIB to convert binary data to ascii and operates over the last with several functions available.
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  • 6
    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.
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  • 7

    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. The C functions assume a particular format for the HDF5 file contents, and...
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