Numerous coastal and marine actors, from both the public and private sectors, require bathymetric and surface sedimentological data for a wide range of economic applications and scientific analyses. With this publication, we establish an open-access, integrated marine data collection for the German Bight from 1996 to 2016 with bathymetric and sedimentological models that provide base data in an unprocessed form, as well as a range of base analysis products for easy accessibility.

Integration of drill core and Earth observation data is critical for cost-effective mineral exploration and mining. Publicly accessible data sets to evaluate analytical tools and their effectiveness for characterisation of mineral assemblages and lithologies or discrimination of ore from waste are however scarce. The open-access Rocklea Dome 3D Mineral Mapping Test Data Set allows an evaluation of subsurface and surface information for exploration of mineral resources and their characterisation.

Mineral resource exploration and mining is an essential part of today's high-tech industry. Modern remote-sensing exploration techniques from multiple platforms (e.g., satellite) to detect the spectral characteristics of the surface require spectral libraries as an essential reference. To enable remote mapping, the spectral libraries for rare-earth-bearing minerals, copper-bearing minerals and surface samples from a copper mine are presented here with their corresponding geochemical validation.

Petrophysical and mechanical rock properties are essential for reservoir characterization of the deep subsurface and are commonly used for the population of numerical models or the interpretation of geophysical data. The database presented here aims at providing easily accessible information on rock properties and chemical analyses complemented by extensive metadata (location, stratigraphy, petrography) covering volcanic, sedimentary, metamorphic and igneous rocks from Jurassic to Holocene age.

Kerala in India was subjected to an extreme rainfall event in the monsoon season of 2018 which triggered extensive floods and landslides. In order to study whether the landslides were related to recent land use changes, we generated an accurate and almost complete landslide inventory based on two existing datasets and the detailed interpretation of images from the Google Earth platform. The final dataset contains 4728 landslides with attributes of land use in 2010 and land use in 2018.