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heiDATA is an institutional repository for Open Research Data from Heidelberg University. It is managed by Heidelberg University's Research Data Unit, a joint institution of the University Library and the Computing Centre. If you are interested in publishing your data here, please have a look at our user guide and get in touch with us. Detailed information on heiDATA can be found in our service description.
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Feb 22, 2017 - Systematic Literature Review on Automated Monument Detection
Plain Text - 197.5 KB - MD5: 68348944755008106df106544bace1fa
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co-auth_out.svg
Feb 22, 2017 - Systematic Literature Review on Automated Monument Detection
Plain Text - 10.9 KB - MD5: 996aa6d70e28fe227b1c577870b809c3
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CO2_HD_GRAMMGRAL.zip
Sep 28, 2023 - Optimising Urban Measurement Networks for CO2 Flux Estimation: A High-Resolution Observing System Simulation Experiment using GRAMM/GRAL [data]
ZIP Archive - 30.7 GB - MD5: 071923318b2069c1862222bbf31e260a
CoCo-Ex_Annotation_Manual.pdf
CoCo-Ex_Annotation_Manual.pdf
Feb 26, 2024 - CoCo-Ex
Adobe PDF - 52.0 KB - MD5: f88bc2d119fdb890044cf0fd647ad12b
CoCo-Ex_entity_extraction.py
Feb 26, 2024 - CoCo-Ex
Python Source Code - 49.4 KB - MD5: ce5bb7938f052a3f76ad9390b0994c3f
CoCo-Ex_overhead_filter.py
Feb 26, 2024 - CoCo-Ex
Python Source Code - 7.5 KB - MD5: becb8559758310682fa23becbde1d481
code.zip
Mar 2, 2023 - Deep learning for the detection of anatomical tissue structures and neoplasms of the skin on scanned histopathological tissue sections [data]
ZIP Archive - 22.3 KB - MD5: 83dc0586d9aa79b05d606578f0b007a6
Code
code.zip
Jun 15, 2021 - M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code]
ZIP Archive - 19.8 KB - MD5: 0c3a30fefb584e1c2e3a72477073679e
Code
Code.zip
Dec 2, 2021 - Correspondence-driven plane-based M3C2 for quantification of 3D topographic change with lower uncertainty [Data and Source Code]
ZIP Archive - 8.5 KB - MD5: b9f528563a1081e7e716d2e3ef1bd033
Code
code.zip
Jul 7, 2023 - Implementation of deep learning in liver pathology optimizes diagnosis of benign lesions and adenocarcinoma metastasis [data]
ZIP Archive - 27.0 KB - MD5: 1d16dcdcba8692606e15ac7aa9d8be04
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