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Jul 7, 2026 - IOER FDZ
Krüger, Tobias, 2026, "Georeferenced Addresses in Flood-Prone Areas by District in Germany, 2025", https://doi.org/10.71830/X5C7QU, ioerDATA, V1
The dataset summarizes the number of authoritative georeferenced address data within each district or district-free city in Germany that is located within flood risk zones and flood hazard areas. Georeferenced address data is used as provided by the Federal Agency of Cartography and Geodesy (Bundesamt für Kartographie und Geodäsie) and has been com...
Markdown Text - 9.2 KB - MD5: 206565bc6d3e191e76ef3fd8f084a229
Readme
This contains description of the dataset.
Comma Separated Values - 42.7 KB - MD5: af920a3a40e3b7e086547f28fb805b86
Data
contains data as table in .csv format
Unknown - 16.8 MB - MD5: c207b29d483464c261db982112000d55
Data
contains data in geopackage format
Jun 3, 2026 - IOER FDZ
Münzinger, Markus, 2026, "3D Building Metrics Germany 2024", https://doi.org/10.71830/9CBBWV, ioerDATA, V1
EN: The dataset 3D Building Metrics Germany 2024 provides building footprints for Germany, enriched with geometric properties and structural metrics. It is derived from the official 3D building models for Germany in Level of Detail 2 (LoD2) created by the Surveying Authorities of the Laender of the Federal Republic of Germany and represents data fo...
Markdown Text - 8.0 KB - MD5: 0c7d15a7c797be2d14bb823e2b715ea6
Markdown Text - 8.1 KB - MD5: 5b9c3e3096eb2c6848b796c6285e77dd
Unknown - 221.5 MB - MD5: 8ce011dd9f02412817dca9a13b2b7764
Unknown - 71.2 MB - MD5: 9eb3752e898743c23197737266aef460
Unknown - 562.9 MB - MD5: a8c3410afa13a68f6146456f1f5bb817
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