The rasdaman endpoint hosted by Constructor University Bremen provides access to a diverse collection of geospatial datacubes ranging from global climate models and satellite imagery to localized digital surface models. The catalog includes high-dimensional datasets such as Temperature4D, which offers four-dimensional atmospheric temperature data spanning time, elevation, latitude, and longitude, alongside multi-temporal global coverages like AvgLandTemp and AvgTemperatureColor that track environmental changes from 2000 to 2015. Additionally, the service hosts a sample of Sentinel-2 Level-2A imagery (S2_L2A_32631_*) for a specific region in Europe, capturing multiple spectral bands (B01, B03, B04, B08, B12) and true color composites with high temporal resolution from April 2021.

The available datacubes vary in dimensionality, spatial extent, and format support, accommodating both global grids and localized rectified grids. While many datasets utilize the standard WGS84 coordinate system (EPSG:4326), others are projected using UTM zones (e.g., EPSG:32631, EPSG:32632) or abstract index spaces for specific analytical needs, such as the 1D time-series test_365_days_irregular or the 3D climate models climate_cloud and climate_earth. The service supports a wide array of output formats including NetCDF, JPEG2000, GeoTIFF, and JSON, and offers advanced processing capabilities such as interpolation, scaling, and subsetting, enabling users to retrieve tailored subsets of large-scale datasets like the multi-gigabyte land_cover_class__esa_test_6 or the high-resolution global temperature map world_temp_high_res.