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nmrshiftdb is a NMR database (web database) for organic structures and their nuclear magnetic resonance (nmr) spectra. It allows for spectrum prediction (13C, 1H and other nuclei) as well as for searching spectra, structures and other properties. Last not least, it features peer-reviewed submission of datasets by its users. The nmrshiftdb2 software is open source, the data is published under an open content license. Please consult the documentation for more detailed information. nmrshiftdb2 is the continuation of the NMRShiftDB project with additional data and bugfixes and changes in the software.
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>>>This repository is no longer available<<< Go-Geo is an online resource discovery tool which allows for the identification and retrieval of records describing the content, quality, condition and other characteristics of geospatial data that exist with UK tertiary education and beyond. The portal supports geospatial searching by interactive map, grid co-ordinates and place name, as well as the more traditional topic or keyword forms of searching. The portal is a key component of the UK academic Spatial Data Infrastructure.
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The GAVO data centre at Zentrum für Astronomie Heidelberg publishes astronomical data of all kinds – e.g., catalogues, images, spectra, time series, simulation results – in accordance with Virtual Observatory standards, making them findable and immediately usable through popular clients like TOPCAT, Aladin, or programatically through the astropy-affiliated package pyVO or the Java library STIL. We pay particular attention to providing thorough metadata to the VO Registry in order to facilitate discovery and reuse. While we have a clear focus on data produced with German contributions, we will usually publish data of other provenance, too. See https://docs.g-vo.org/DaCHS/data_checklist.html for an overview of what resource-level metadata we ask for; contact us for further information on how to publish through the German Astronomical Virtual Observatory.
ScienceBase provides access to aggregated information derived from many data and information domains, including feeds from existing data systems, metadata catalogs, and scientists contributing new and original content. ScienceBase architecture is designed to help science teams and data practitioners centralize their data and information resources to create a foundation needed for their work. ScienceBase, both original software and engineered components, is released as an open source project to promote involvement from the larger scientific programming community both inside and outside the USGS.
Within WASCAL a large number of heterogeneous data are collected. These data are mainly coming from different initiated research activities within WASCAL (Core Research Program, Graduate School Program) from the hydrological-meteorological, remote sensing, biodiversity and socio economic observation networks within WASCAL, and from the activities of the WASCAL Competence Center in Ouagadougou, Burkina-Faso.