Die IGS (Informationssystem gefährliche Stoffe) - Verlinkungsliste ist eine Liste von Stoffnamen / Synonymen, EC- und CAS-Nummern, gekoppelt mit einem Link auf die Anwendung "IGS-Public". Über diesen Link können Informationen (z. B. PC-Daten, Rechtliche Regelungen, Grenzwerte, Gefahrenhinweise, Handlungshilfen, Erste Hilfe ...) zum in der Liste aufgeführten Stoff erhalten werden.
Dieser WebFeatureService (WFS) Grossraum_und_Schwertransport_Routen, stellt Routen für den Großraum- und Schwertransportverkehr in und durch Hamburg zum Download bereit und dient u.a. als Hilfe bei der Umgehung von Baustellen bzw. bei der Baustellenkoordination. Zur genaueren Beschreibung der Daten und Datenverantwortung nutzen Sie bitte den Verweis zur Datensatzbeschreibung.
Dieser WebMapService (WMS), BIS_LBV_Grossraum_und_Schwertransport_Routen, stellt Routen für den Großraum- und Schwertransportverkehr in und durch Hamburg dar und dient u.a. als Hilfe bei der Umgehung von Baustellen bzw. bei der Baustellenkoordination. Zur genaueren Beschreibung der Daten und Datenverantwortung nutzen Sie bitte den Verweis zur Datensatzbeschreibung.
Es handelt sich um eine Zusammenstellung von Routen für den Großraum- und Schwertransportverkehr in und durch Hamburg, welche im Hamburger Verkehrsportal visualisiert werden kann. Sie dient zur Unterstützung von Anträgen von Ausnahmeerlaubnissen und -genehmigungen nach §29 Abs. 3 und §46 Abs. 1 Nr. 5 und Nr. 2 StVO (Straßenverkehrsordnung) bei der Antragstellung in VEMAGS (Verfahrensmanagement für Großraum- und Schwertransporte) sowie als Hilfe bei der Umfahrung von Baustellen bzw. bei der Baustellenkoordination.
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.
These data represent the most complete set of analyses of the Eastern Australian Potassic suite. The data include whole-rock major-, trace-, and volatile-element analyses including loss-on-ignition measurements for 48 samples from 21 spatially distinct leucite-bearing volcanic surface expressions. These expressions range from topographically prominent volcanic edifices and mounds, through to lava flows, with four sample locations (8 samples total) coming from active quarry sites. Location and elevation data as well as methods used are provided. Trace-element data are available for 45 samples and include a total of 41 elements, while volatile-element data are available for 47 samples. All samples have major element analyses (10 elements). This is an update on the dataset provided in version 1 (https://doi.org/10.25625/AB5PLG). Additional information on the sample texture, description, and analytical methods has been added. This update also rectifies mismatches between some trace-element analyses and the corresponding samples. Data for Sn have been removed due to poor accuracy and precision.
GFZ acts as a global analysis center of the International GNSS Service (IGS) and provides ultra-rapid (last 24h), rapid (last day), and final (last week) solutions for GPS and GLONASS. The final solution series is published in daily files with a delay of about two weeks.
The Black Forest Observatory Data collection compiles digital data recorded at Black Forest Observatory (BFO) in Germany and provided through several international data centers. BFO aims to observe the entire geodynamic spectrum. It strives to ensure continuous, uninterrupted operation and is internationally recognized for high signal quality and sensitivity. Observed quantities cover three components of acceleration (including ground motion, gravity and tilt), strain, magnetic field, and others (see description of instruments below). The set of instruments and data recorders in operation provides a significant level of redundancy, which allows to distinguish natural phenomena from possible instrumental artefacts. The Black Forest Observatory (BFO) is a joint research facility of the Karlsruhe Institute of Technology (KIT) and the University of Stuttgart (Duffner et al., 2018; Gottschämmer et al. 2014). Since 1971 it is operated in cooperation of the geophysical and geodetic institutes of both universities (Zürn, 2014). BFO is staffed with two scientists and one technician. Main activities of the observatory fall into four categories, which are (1) observation and publication of a continuously recorded multi-parameter geodynamic data set, (2) research, (3) hosting of guest-experiments, and (4) teaching. The location of the observatory (48.3301 °N, 8.3296 °E) in the middle of the Black Forest was carefully selected at large distances to potential anthropogenic sources of noise. The instruments are deployed in a former silver mine in competent granite rock at a depth of up to 170 m below the surface and at up to 700 m distance from the entrance of the mine. This provides a thermally very stable environment. Two air-locks provide additional protection against air-pressure variations and ensure thermal stability. Because of these favorable conditions and the excellent high precision instruments operated at BFO the observatory is internationally well known as one of the most sensitive sites for long period observations, providing international standards for the scientific community, e.g. for recordings of Earth's free oscillations. The Black Forest Observatory operates broad-band seismometers (STS-1 and STS-2), gravimeters (superconducting gravimeter SG056, LaCoste Romberg earth-tide gravimeter ET-19), tiltmeters (Askania borehole tiltmeter, Horsfall fluid tiltmeter), an array of three invar-wire strainmeters, magnetometers (a scalar GSM-90 Overhauser magnetometer and a three component Rasmussen fluxgate magnetometers) and a permanent GPS-station. These are supplemented by regularly repeated magnetic base-line measurements and observations of absolute gravity as well as the recording of several environmental parameters (air-pressure, infrasound, humidity, wind speed, precipitation and temperature). Some of the latter are used to correct geodynamic recordings for remaining disturbances. The data are published in near-real-time through international data centers (IRIS DMC at Seattle, SZO at the BGR in Hannover, INTERMAGNET, GNSS Data Center at the BKG in Frankfurt, IGETS Database at GFZ Potsdam). Data are made available free of charge to scientific projects as well as to the general public with attribution as defined in the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). An extended review of research at BFO is given by Zürn (2014) and Duffner et al. (2018, in German). Both provide references to published BFO research.
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
Physical samples (or specimen or artefacts) represent the origin of research results in many scientific disciplines. Assigning persistent identifier (PID) to samples is a fundamental step to make them discoverable and traceable in unambiguous way over the Web. The International Generic Sample Number (IGSN) is a PID for physical samples and connecting these with their online description following a dedicated metadata schema. Sample descriptions of samples are available in various formats and detail. In order to publish them in a standardized manner and to automate and standardize the preparation and processing, the software product SAMIRA (Sample IGSN Registration Automation) was created as part of the Project FAIR WISH, funded by the Helmholtz Metadata Collaboration (HMC). SAMIRA aims to automate the generation of Metadata XML-Files for the Registration of PIDs from different input sources (e.g. the FAIR Samples Template, Wiezcorek et al., 2023). This first version of SAMIRA implements the creation of IGSN metadata and Datacite metadata and the respective registration.
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