Metadata-Version: 2.1
Name: pangaeapy
Version: 1.0.0b0
Summary: 
        This module allows to download and analyse metadata as
        well as data from tabular PANGAEA (https://www.pangaea.de) datasets.
        
        Usage:
        import pangaeapy.pandataset as pd
        ds= pd.PanDataSet(787140)
        print(ds.title)
        print(ds.data.head())
        
        Please visit the github project page to see more documentation and some examples:
        https://github.com/pangaea-data-publisher/pangaeapy
        
Home-page: https://github.com/pangaea-data-publisher/pangaeapy
Author: Robert Huber, Egor Gordeev, Markus Stocker, Aarthi Balamurugan, & Uwe Schindler
Author-email: rhuber@uni-bremen.de
Maintainer: PANGAEA® - Data Publisher for Earth & Environmental Science
License: UNKNOWN
Description: [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4013941.svg)](https://doi.org/10.5281/zenodo.4013941)
        
        # pangaeapy - a Python module to access and analyse PANGAEA data
        
        ## Background
        
        ![pangaea](https://pangaea.de/assets/v.0163d8ce3a8d13294b065fcbdc04aebc/layout-images/pangaea-logo.png) 
        
        PANGAEA (https://www.pangaea.de) is one of the world's largest archives of this kind offering essential data services such as data curation, long-term data archiving and data publication. PANGAEA hosts about 400,000 datasets comprising around 17.5 billion individual measurements (Aug. 2020) and observations which have been collected during more than 240 international research projects. The system is open to any project, institution or individual scientist using, archiving or publishing research data.
        
        Since the programming languages Python and R have become increasingly important for scientific data analysis in recent years, we have developed 'pangaeapy'  a new, custom Python module that considerably simplifies typical data science tasks. 
        
        Given a DOI, pangaeapy uses PANGAEAâ€™s web services to automatically load PANGAEA metadata into a dedicated python object and tabular data into a Python Data Analysis Library (pandas) DataFrame with a mere call of a specialized function. This makes it possible to integrate PANGAEA data with data from a large number of sources and formats (Excel, NetCDF, etc.) and to carry out data analyses within a suitable computational environment such as Jupyter notebooks in a uniform manner.
        
        ## Installation
        
        * Source code from [github](https://github.com/pangaea-data-publisher/pangaeapy)
            * `pip install git+https://github.com/pangaea-data-publisher/pangaeapy`
        * Wheels for Python from [PyPI](https://pypi.org/project/pangaeapy/)
            * `pip install pangaeapy`
        
        
        
        ## Usage
        ```python
        import pangaeapy.pandataset as pd
        ds= pd.PanDataSet(787140)
        print(ds.title)
        print(ds.data.head())
        ```
        
        ## Examples
        Please take a look at the example Jupyter Notebooks which you can find in the 'examples' folder
        
        ## Documentation
        
        https://github.com/pangaea-data-publisher/pangaeapy/blob/master/docs/pandataset.md
        
        ## Cite as
        Robert Huber, Egor Gordeev, Markus Stocker, Aarthi Balamurugan, & Uwe Schindler. (2020, September 3). pangaeapy - a Python module to access and analyse PANGAEA data (Version 1.0.0-beta). Zenodo. http://doi.org/10.5281/zenodo.4013941
        
        [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4013941.svg)](https://doi.org/10.5281/zenodo.4013941)
        
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering
Description-Content-Type: text/markdown
