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Supplement to: Curating the web’s deep past - Migration strategies for the German Continental Deep Drilling Program web content

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.

gms-index-mediator: a R-tree-based in-memory index for fast spatio-temporal queries for the GeoMultiSens platform

Gms-index-mediator is a standalone index for spatio-temporal data acting as a mediator between an application and a database. Even modern databases need several minutes to execute a spatio-temporal query to huge tables containing several million entries. Our index-mediator speeds the execution of such queries up by several magnitues, resulting in response times around 100ms. This version is tailored towards the GeoMultiSens database, but can be adapted to work with custom table layouts with reasonable effort.

GFZ Metadata Schema for International Generic Sample Numbers (IGSN) and documentation

This publication includes the metadata schema and documentation for the registration of International Generic Sample Numbers (IGSN) by GFZ Data Services between 2015 and 2024. The IGSN schema definitions included here give an overview of the existing elements for sample description used in the different data centres managed by the IGSN Agent GFZ Data Services. To date, GFZ Data Services organises their IGSN collections according to different projects or research groups which are displayed as different datacentres in the catalogue (https://dataservices.gfz-potsdam.de/igsn-new/). The modular IGSN metadata schema, developed by IGSN e.V., formed the basis for the registration of IGSN sample descriptions. Until 2022, the following three modules were used: IGSN Registration Metadata Schema: mandatory metadata properties required for the IGSN registration (Handle Server) IGSN Descriptive Metadata Schema: generic description of a specimen’s core elements as defined by IGSN e.V. These elements were intended to represent the common metadata kernel for all IGSN allocating agents. IGSN Supplemental Metadata Schema: additional, sample-specific metadata elements that can be individually developed by IGSN Allocating Agents. This schema represents a further development of the IGSN metadata schema originally developed by System for Earth Sample Registration (SESAR², www.geosamples.org) in the framework of the IGSN Organisation (IGSN e.V.) with specific additions for the GFZ use case. It was used for IGSN registrations since 2015. As part of the project "FAIR Workflows to establish IGSN for Samples in the Helmholtz Association" (FAIR WISH), funded by the Initiative and Networking Fund of the Helmholtz Association (Helmholtz Metadata Collaboration HMC). these schemes were secured and the documentation for the registration metadata, descriptive metadata documentation was completed.

Petrographic Classification Table for the PetroPhysical Property Database P³

This data publication is part of the 'P³-Petrophysical Property Database' project, which has been developed within the EC funded project IMAGE (Integrated Methods for Advanced Geothermal Exploration, EU grant agreement No. 608553) and consists of a scientific paper, a full report on the database, the database as excel and .csv files and additional tables for a hierarchical classification of the petrography and stratigraphy of the investigated rock samples (see related references). This publication here provides a hierarchical interlinked petrographic classification according to standardized and internationally defined petrographic terms. The petrography or rock type classification scheme is structured based on a hierarchical subdivision with nine different ranks, where the rock description generally becomes more detailed with increasing rank of petrographic classification (based on the well database of the Geological Survey of Hessen, Germany: Hessisches Landesamt für Umwelt, Naturschutz, Umwelt und Geologie (HLNUG)).This hierarchical subdivision and the definitions of the petrographic terms are based on international conventions (e.g. Bates & Jackson 1987, Gillespie & Styles 1999, Robertson 1999, Hallsworth & Knox 1999, Bas & Streckeisen 1991, Schmid 1981, Fisher & Smith 1991). Furthermore, the classification corresponds to the subdivision provided by existing property data compilations such as e.g. Hantschel and Kauerauf (2009), Schön (2011), Rybach (1984) and Clauser and Huenges (1995). Petrographic classifications from rank 1 to rank 4 can usually be identified from macroscopic descriptions of well logs, cores and geological mapping. The petrographic classifications from rank 5 to rank 9 require additional information on the texture or grain size, the modal composition or the geochemistry etc., which can usually only be acquired by microscopic or comparable special investigations. Overall, the nine ranks cover a total of 1494 petrographic terms and thus goes well beyond other standardized catalogues (e.g. 'Simplified Lithology' in GeoSciML).The petrographic classification of a sample in P³ is based on the sample description within the original literature reference. A petrographic ID and a corresponding petrographic parental ID directly correlate the different classifications and their ranks.

Stratigraphic Classification Table for the PetroPhysical Property Database P³

This data publication is part of the 'P³-Petrophysical Property Database' project, which was developed within the EC funded project IMAGE (Integrated Methods for Advanced Geothermal Exploration, EU grant agreement No. 608553) and consists of a scientific paper, a full report on the database, the database as excel and .csv files and additional tables for a hierarchical classification of the petrography and stratigraphy of the investigated rock samples (see related references). This publication here provides a hierarchical interlinked stratigraphic classification according to the chronostratigraphical units of the international chronostratigraphic chart of the IUGS v2016/04 (Cohen et al. 2013, updated) according to international standardisation. As addition to this IUGS chart, which is also documented in GeoSciML, stratigraphic IDs and parent IDs were included to define the direct relationships between the stratigraphic terms.The P³ database aims at providing easily accessible, peer-reviewed information on physical rock properties relevant for geothermal exploration and reservoir characterization in one single compilation. Collected data include hydraulic, thermophysical and mechanical properties and, in addition, electrical resistivity and magnetic susceptibility. Each measured value is complemented by relevant meta-information such as the corresponding sample location, petrographic description, chronostratigraphic age and, most important, original citation. The original stratigraphic and petrographic descriptions are transferred to standardized catalogues following a hierarchical structure ensuring intercomparability for statistical analysis, of which the stratigraphic catalogue is presented here. These chronostratigraphic units are compiled to ensure that formations of a certain age are connected to the corresponding stratigraphic epoch, period or erathem. Thus, the chronostratigraphic units are directly correlated to each other by their stratigraphic ID and stratigraphic parent ID and can thus be used for interlinked data assessment of the petrophysical properties of samples of an according stratigraphic unit.

SEMISYS - Sensor Meta Information System

SEMISYS is the Sensor Meta Information System of the German Research Centre for Geosciences. The precise analysis of GNSS observation data is based upon a variety of metadata from different sources, including station and satellite metadata. A high evaluation quality must be ensured by the consistency and integrity of this metadata. The station and satellite metadata are currently maintained in ASCII based files that make the extraction of key information used for the data evaluation difficult. To get rid of the restrictions caused by the file based metadata management, the Operational Data Center (ODC) group of the GFZ developed a Sensor Meta Information System (semisys) for the central, format independent and validated storage of station and satellite metadata based upon client/server technology and an object-relational database. The following processing related metadata is currently stored in semisys: * Station metadata extracted from IGS site logs (for different projects) * Processed station coordinates (EPOS) and ocean loading values (calculated by Onsala Space Observatory) * Hardware metadata (receiver, antenna, radome) * Satellite parameter for GPS, GLONASS, Galileo, BeiDou, QZSS and SBAS * Notice Advisories for GPS, GLONASS and Galileo (NANU, NAGU) * ANTEX for GPS, GLONASS and Galileo

P³ - PetroPhysical Property Database

Petrophysical properties are key to populate numerical models of subsurface process simulations and for the interpretation of many geophysical exploration methods. They are characteristic for specific rock types and may vary considerably as a response to subsurface conditions (e.g. temperature and pressure). Hence, the quality of process simulations and geophysical data interpretation critically depend on the knowledge of in-situ physical properties that have been measured for a specific rock unit.Inquiries for rock property values for a specific site might become a very time-consuming challenge given that such data are (1) spread across diverse publications and compilations, (2) heterogeneous in quality and (3) continuously being acquired in different laboratories worldwide. One important quality factor for the usability of measured petrophysical properties is the availability of corresponding metadata such as the sample location, petrography, stratigraphy, or the measuring method, conditions and authorship.The open-access database presented here aims at providing easily accessible, peer-reviewed information on physical rock properties in one single compilation. As it has been developed within the scope of the EC funded project IMAGE (Integrated Methods for Advanced Geothermal Exploration, EU grant agreement No. 608553), the database mainly contains information relevant for geothermal exploration and reservoir characterization, namely hydraulic, thermophysical and mechanical properties and, in addition, electrical resistivity and magnetic susceptibility.The uniqueness of this database emerges from its coverage and metadata structure. Each measured value is complemented by the corresponding sample location, petrographic description, chronostratigraphic age and original citation. The original stratigraphic and petrographic descriptions are transferred to standardized catalogues following a hierarchical structure ensuring intercomparability for statistical analysis. In addition, information on the experimental set-up (methods) and the measurement conditions are given for quality control. Thus, rock properties can directly be related to in-situ conditions to derive specific parameters relevant for modelling the subsurface or interpreting geophysical data.

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