41 to 50 of 707 Results
Apr 30, 2021 - Division of Infectious Disease and Tropical Medicine
Krüger, Lisa J.; Gaeddert, Mary; Tobian, Frank; Lainati, Federica; Gottschalk, Claudius; Klein, Julian A.F.; Schnitzler, Paul; Kräusslich, Hans-Georg; Nikolai, Olga; Lindner, Andreas K.; Mockenhaupt, Frank P.; Seybold, Joachim; Corman, Victor M.; Drosten, Christian; Pollock, Nira; Knorr, Britta; Welker, Andreas; de Vos, Margaretha; Sacks, Jilian A.; Denkinger, Claudia M., 2021, "The Abbott PanBio WHO emergency use listed, rapid, antigen-detecting point-of-care diagnostic test for SARS-CoV-2 - Evaluation of the accuracy and ease-of-use [Research Data]", https://doi.org/10.11588/data/FSPQL4, heiDATA, V1
This repository includes data from a prospective, multi-centre diagnostic accuracy study. The study was conducted at two sites in Germany, Heidelberg and Berlin. Following routine testing with reverse-transcriptase polymerase chain reaction (RT-PCR), a second study-exclusive swab... |
Jul 27, 2021 -
Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset]
ZIP Archive - 2.3 GB -
MD5: 01bb715dff9720785dd9d26fa1f34503
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Jul 27, 2021 -
Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset]
ZIP Archive - 2.5 GB -
MD5: b3fc5a1fc1d73e60dca168ecc9a5444c
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Jul 27, 2021 -
Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset]
ZIP Archive - 1.8 GB -
MD5: 71429fb3621f7fe242a07a67537c9547
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Jul 27, 2021 -
Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset]
ZIP Archive - 2.5 GB -
MD5: 2668ed17e55a81c4192acd99fe96dc2f
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Jul 27, 2021 -
Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset]
ZIP Archive - 2.5 GB -
MD5: d57cbcd445abf0eface3b6d06556d25d
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Jul 5, 2021 -
Research data for dissertation project "The dynamic preferences and incentives of natural resource users".
Comma Separated Values - 476.1 KB -
MD5: 7522c0adc4cba72875d706e4ec4aecc7
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Plain Text - 290 B -
MD5: bb2de3e179afd69401989be692454e3e
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Mar 19, 2021 -
Turkology Annual Online – Full bibliographic records
Tabular Data - 16.2 KB - 7 Variables, 221 Observations - UNF:6:tlInMOs+CJsTr+gZTqoYww==
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Mar 19, 2021 -
Turkology Annual Online – Full bibliographic records
Tabular Data - 16.2 KB - 7 Variables, 220 Observations - UNF:6:3czeiaShNDBHNyEcHUewyg==
TA specific categories, full list, German and English (MS Excel Format) |