1,441 to 1,450 of 1,615 Results
Jul 22, 2025 -
Replication package for: Climate Regulation in Cities
JPEG Image - 1.6 MB -
MD5: 874ae21fcb05c3cc668e0451dbb2e612
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Jul 22, 2025 -
Replication package for: Climate Regulation in Cities
JPEG Image - 1.7 MB -
MD5: 698c8c58c1a836a2237b687ce691bf78
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Jul 22, 2025 -
Replication package for: Climate Regulation in Cities
Adobe PDF - 10.7 MB -
MD5: 1a28f72ee295d620bae2a19e668e57b5
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Jul 22, 2025 -
Replication package for: Climate Regulation in Cities
Adobe PDF - 15.6 MB -
MD5: 2827faa5afc4bc1dc351cda0a36a10a4
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Jul 22, 2025 -
Replication package for: Climate Regulation in Cities
Markdown Text - 7.1 KB -
MD5: 7db53f8c5d214cb00a795fcf03d91df6
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Jul 22, 2025 -
Replication package for: Climate Regulation in Cities
Plain Text - 54.3 KB -
MD5: 2a1bc4f8eeb1ddca44a1fb6926e3577b
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Jul 17, 2025 - IOER FDZ
Reiter, Denis; Jehling, Mathias; Hecht, Robert, 2025, "Replication package for: Mapping access to medical service provision at micro-scale: Dynamics in supply and demand in Germany", https://doi.org/10.71830/7N8G1E, ioerDATA, V2
EN: This dataset includes a 100 m raster of changes in access to primary care physicians in Germany. It complements the article "Mapping access to medical service provision at micro-scale: Dynamics in supply and demand in Germany". For calculating the change in access, data on physicians and population for the years 2011 and 2022 on the level of in... |
Jul 17, 2025 -
Replication package for: Mapping access to medical service provision at micro-scale: Dynamics in supply and demand in Germany
Markdown Text - 9.5 KB -
MD5: e600deadb1245eb03b83c32f583ba74d
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Jul 17, 2025 -
Replication package for: Mapping access to medical service provision at micro-scale: Dynamics in supply and demand in Germany
Markdown Text - 9.2 KB -
MD5: 7e8ed446a779a4a4732a20fa593fe8e4
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Jul 15, 2025 - IOER FDZ
Münzinger, Markus, 2025, "LiDAR-Based Tree Models for Munich, Germany (2022)", https://doi.org/10.71830/CNC4VU, ioerDATA, V1
EN: This dataset provides detailed tree models for Munich, Germany, derived from airborne LiDAR point clouds collected in February 2022. The data processing follows a comprehensive workflow for mapping and 3D modeling of urban forests. It uses an object‑based data‑fusion approach that integrates multispectral aerial imagery and a semantic 3D buildi... |
