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PANGAEA.
Data Publisher for Earth & Environmental Science

Tools

Advanced Search Tools

The PANGAEA Data Warehouse can be used for highly efficient retrievals and compilations of time slices or surface data matrixes on any measurement parameters out of the whole data continuum. To start a data warehouse query, go to PANGAEA's start page and enter some search keywords to make a selection. Once you have filtered the search results, click on the Data Warehouse button in the tools bar, to start the tool.

If you want use the data warehouse API, see our interoperability / services.

Data Discovery and Retrieval tools for Scripting Languages

The following tools are provided as open source libraries / plugins for your favourite scripting language. They are provided by the community and PANGAEA cannot provide support for them. Please ask questions or open issues on the linked web pages and issue trackers. Documentation is also provided externally.

  • pangaeapy: This Python 3 package allows to download and analyse metadata as well as data from tabular PANGAEA datasets. It can be installed using pip install pangaeapy, e.g. in Jupyter Notebooks. This package is maintained by Robert Huber (PANGAEA). Source code is hosted on GitHub. Please open an issue there in case you have problems with this software. You are also invited to contribute with pull requests.
  • pangaear: This R package is a data retrieval interface for PANGAEA. It supports querying metadata and downloading of tabular PANGAEA datasets. It can be installed using install.packages("pangaear"), e.g. in Jupyter Notebooks. This package is maintained by rOpenSci. Source code is hosted on GitHub. Please open an issue there in case you have problems with this software. You are also invited to contribute with pull requests.

PANGAEA Bathymetry Web Map Service

This PANGAEA OGC Web Map Service (first release 2021) contains bathymetry data archived at PANGAEA (including only data with CC-BY 3.0 and CC-BY 4.0 licenses). This service is developed as part of the German Marine Research Alliance in the core area "Data management and Digitalization" (Deutsche Allianz Meeresforschung, DAM). Note that not all bathymetry data currently archived in PANGAEA are visualized through this service. However, the number of datasets will be continuously increased in the future. As of now, only raw & processed data from multibeam echosounder measurements are incorporated in this service (further developments are in progress). Please acknowledge that each layer of this service contains further usage requirements (e.g. citation rules) provided in the abstract. Data visualized in this service shall not be used for navigational purposes. More information can be found in our Wiki.

This service is still considered a beta version and accessible via https://maps.awi.de/services/common/pangaea_bathymetry/wms.

Please note that a Geographic Information System (GIS) (e.g., QGIS) is required to access this service. However, data of this service can also be explored using the Viewer of the Data Portal German Marine Research.

Other tools provided by PANGAEA

The software below is provided by PANGAEA for the visualization, exploration and interpretation of scientific data. The tools are open source; its use in combination with the PANGAEA Information System is recommended.

  • BSRN Toolbox: The Baseline Surface Radiation Project (BSRN) makes use of the so called station-to-archive format to share the data of one station for one month with the BSRN community. This format cannot be understood without reading the BSRN format manual. So the BSRN Toolbox was developed to convert this format to more readable dataset tables and for creating PANGAEA import files. These tables can be opened with a spreadsheet program like Microsoft Excel or OpenOffice and with PanPlot to visualize the data very easily. With a download manager users can download station-to-archive files from the BSRN ftp-server to the local computer system. The tool can be installed on the local machine and provides a QT based graphical user interface.

    Binary downloads are available for: Windows, macOS, Linux (x86-64) – source code is hosted on GitHub.