These files generate data catalogue pages from ISO19139, GMCD-DIF and Datacite metadata by using XSLT stylesheet transformation on XML metadata. This supplement contains four files:* The file "datasetoverview.xslt" is the conversion stylesheet in XSLT 1.0. It is a minified version of the stylesheet we use at GFZ to produce Hypertext Markup Language for presentation in internet browsers.* The file "datasetoverview.css" is the cascading style sheet with the layout definitions.* The file "10.1594.GFZ.SDDB.1409.xml" contains example data from the eSciDoc repository. At the document start there is a reference to the conversion stylesheet to allow an in-browser conversion.* A "README.txt" file.
The Sassen BF1 soil moisture station is part of an agrometeorological test site and aims at supplying environmental data for algorithm development in remote sensing and environmental modelling, with a focus on soil moisture and evapotranspiration.The site is intensively used for practical tests of remote sensing data integration in agricultural land management practices. First measurement infrastructure was installed by DLR in 1999 and instrumentation was intensified in 2011 and later as the site became part of the TERENO-NE observatory.
The soil moisture station station Sassen BF1 was installed in 2012. It is located next to a pylon on a crest of an undulating field. The station is equipped with sensor for measuring the following variables: ScemeSpadeSoilMoisture_Spade_2_Temperature, ScemeSpadeSoilMoisture_Spade_6_Temperature, ScemeSpadeSoilMoisture_Spade_1, ScemeSpadeSoilMoisture_Spade_2, ScemeSpadeSoilMoisture_Spade_3, ScemeSpadeSoilMoisture_Spade_4, ScemeSpadeSoilMoisture_Spade_5 and ScemeSpadeSoilMoisture_Spade_6.
The current version of this dataset is 1.5. This version includes two additional years of data (from-year to-year)and a revised version of the data flags. New authors were added for this new version: Alice Künzel (GFZ Potsdam), Christian Budach (GFZ Potsdam), Nils Brinckmann (GFZ Potsdam), Max Wegener (DLR Neustrelitz) and Klemens Schmidt (DLR Neustrelitz).A detailed overview on all changes is provided in the station description file. Older versions are available in the 'previous_versions' subfolder via the Data Download link. A first version of this data was provided under http://doi.org/ containing the measured data only.
The dataset is also available through the TERENO Data Discovery Portal. The datafile will be extended once per year as more data is acquired at the stations and the metadatafile will be updated. New columns for new variables will be added as necessary. In case of changes in data processing, which will result in changes of historical data, an new Version of this dataset will be published using a new doi. New data will be added after a delay of several months to allow manual interference with the quality control process.
During October 2020 a Bug in the published data was detected and a new version of the datasets was released from beginning until mid 2020.
Data processing was done using DMRP version: 1.8.4. Metadataprocessing was done using DMETA version: 1.2.0.
Preparation of technical reports can be unwieldy. However, a significant proportion of the document structure is often standardised. The GFZ Report Generator is a Python 2.7 application meant to ease this process by (i) automatically generating the standardised figures and tables, (ii) creating a report template pre-filled with this standard content, and which meets the GFZ style requirements, and (iii) providing a browser-based GUI with a text editor where users can add content to the report, generate and inspect the HTML and PDF versions on the fly as they are editing, track changes and revert to previous versions, and easily control the document structure and formatting from within the text by typing special characters in reStructuredText, an easy-to-read, what-you-see-is-what-you-get plaintext markup syntax.
The GFZ Report Generator is quite flexible and by the use of tailor-made templates can be adapted easily to other use cases, where part of a document is based on standardised figures and section structure. For example, the software is deployed at GEOFON to generate both seismic network reports and annual reports. For the former, GEOFON also offers an online service (https://geofon.gfz-potsdam.de/waveform/reportgenerator/) where PIs and others can easily generate report templates pre-filled with network-specific content (e.g., probability density functions plots) and available online for editing. In this process, the deployed instance of the GFZ Report Generator proved to be useful for finding some classes of problems with the data and metadata stored at GEOFON.