Metrics
2,973 Downloads
ioerDATA is the institutional research data publication repository of the Leibniz Institute of Ecological Urban and Regional Development (IOER). It is managed and curated by the institute's Research Data Centre (IOER FDZ). Please contact us, if you have further questions and feedback.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1,561 to 1,570 of 1,615 Results
Apr 2, 2025 - IOER FDZ
Münzinger, Markus, 2025, "3D Building Metrics Germany 2023", https://doi.org/10.71830/SKBCSI, ioerDATA, V1
EN: The dataset 3D Building Metrics Germany 2023 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...
ZIP Archive - 7.8 GB - MD5: c0a71022aac4aa3b1ec905e76e822be2
Markdown Text - 7.0 KB - MD5: 1e0cde45bac041b5d7801df052cfa2e8
Markdown Text - 6.7 KB - MD5: a939a33998457d5db51be18b416c47a6
PNG Image - 947.8 KB - MD5: a771db562f34c9df8895f7591cf928c8
Adobe PDF - 678.8 KB - MD5: cf2797be0c6c2e9a011c4f018107fdd1
Apr 2, 2025 - IOER FDZ
Münzinger, Markus, 2025, "3D Building Metrics Germany 2022", https://doi.org/10.71830/GVNGUA, ioerDATA, V1
EN: The dataset 3D Building Metrics Germany 2022 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...
ZIP Archive - 7.0 GB - MD5: b3acc69bd8a293b9544b83f60b3d228a
Markdown Text - 7.0 KB - MD5: 524ba6e7b176c740eed06d4abf5da28f
Markdown Text - 6.7 KB - MD5: 8f57e2b681b222ddb9b4b55843e88f30
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.