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application/x-dbf - 218.9 KB - MD5: 76e5c813390d3323f7363e089320f674
Soviet Union
GIS/Shapefile format
Unknown - 812 B - MD5: 8cfc0744a31bb62b5fc9b655a3ff1aff
Soviet Union
GIS/Shapefile format
Unknown - 156 B - MD5: 1b556ff1c15bf3a691f060598393e0a8
Soviet Union
GIS/Shapefile format
application/x-qgis - 726.4 KB - MD5: 564ad25918c71e8563c9bd61bfec0356
Soviet Union
GIS/Shapefile format
application/x-qgis - 636 B - MD5: 2b820479d4c6043c1af75b51770f71c4
Soviet Union
GIS/Shapefile format
Adobe PDF - 55.0 KB - MD5: 6cc6a98e99680c82638ac2d70e8ad9d9
Description
Description
Plain Text - 134 B - MD5: deb636da0fc54baeccfc10ae0b2e69ed
Description
Documentation
Feb 16, 2018 - Cluster of Excellence - Asia and Europe in a Global Context
Franziska Koch, 2018, "GECCA mapped", https://doi.org/10.11588/data/6JTPWL, heiDATA, V1
GECCA mapped is a pilot project that visualizes and provides geo-referential metadata of sixty exhibition entries collected in the larger GECCA data base (more than 700 entries). The exhibition sample is limited to Western, i.e. Western European and Northern American group exhibi...
Feb 16, 2018 - GECCA mapped
Google Earth Archive - 5.1 MB - MD5: 0d26da46cb467d58ea284b9e5654a9c9
KMZ file of GECCA mapped
Feb 22, 2017 - Cluster of Excellence - Asia and Europe in a Global Context
Raun, Karl H.; Paterson, Duncan, 2017, "Systematic Literature Review on Automated Monument Detection", https://doi.org/10.11588/data/10083, heiDATA, V2
This study measures the state of automated procedures within cultural heritage detection and management by correlating key terms for LiDAR data by citations. To reveal the evolution of the field, we conduct a Systematic Literature Review (SLR) using standardized search structures...
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