11 to 20 of 106 Results
Jul 5, 2017 -
Ergänzende Materialien zu: Die eisenzeitliche und römische Siedlung von Tönisvorst-Vorst (Kreis Viersen)
Adobe PDF - 89.1 MB -
MD5: 2a5537698449bdfb00657949b38193c3
Tabelle aller Befunde |
Adobe PDF - 46.8 MB -
MD5: 35bc7411d80a2a1031a4871433c247d0
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Sep 20, 2017 -
Nachlass Heinrich Bassermann
ZIP Archive - 4.3 MB -
MD5: 163fc7471afb3dfc79aa959aab17d956
Das zip-Archiv enthält die folgenden Dateien:
"meta_1.1.170915.xlsx", "Nachlassverzeichnis_1.1.170915.xlsx", "Predigten_1.1.170915.xlsx". |
Jul 7, 2017 - Department of Pharmaceutical Biology
Lochead, Julia; Schessner, Julia; Werner, Tobias; Wölfl, Stefan, 2017, "Bioinformatic Tool for the Analysis of Time-Resolved data: the TReCCA Analyser", https://doi.org/10.11588/data/UYHOBR, heiDATA, V1
The TReCCA Analyser is conceived to facilitate, speed up and intensify the analysis and representation of your time-resolved data, more specically in the case of cell culture assays. Without having to type any formula, it will perform at wish the following calculations: Control c... |
Jul 6, 2017 - Department of Pharmaceutical Biology
Holenya, Pavlo; Heigwer, Florian; Wölfl, Stefan, 2017, "Bioinformatic Tools for the Prediction of Key Regulatory Molecules in Signaltransduction Networks", https://doi.org/10.11588/data/10056, heiDATA, V1
Kinetic Operating Microarray Analyzer (KOMA) enables calibration and high-throughput analysis of quantitative microarray data collected by using kinetic detection protocol. This tool can be also helpful for analyzing data from any other analytical assays employing enzymatic signa... |
Feb 22, 2017 -
Systematic Literature Review on Automated Monument Detection
Plain Text - 719.5 KB -
MD5: f7f084973e00d925fef65b385235a2b2
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Feb 22, 2017 -
Systematic Literature Review on Automated Monument Detection
Plain Text - 104.3 KB -
MD5: 91a040aae5c89c90c66eb8ab2d62efa9
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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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Feb 22, 2017 -
Systematic Literature Review on Automated Monument Detection
Plain Text - 10.9 KB -
MD5: 996aa6d70e28fe227b1c577870b809c3
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Jan 26, 2019 - Computer Assisted Clinical Medicine
Gaa, Tanja; Neumann, Wiebke; Sudarski, Sonja; Attenberger, Ulrike I.; Schönberg, Stefan O.; Schad, Lothar R.; Zöllner, Frank G., 2017, "Comparison of perfusion models for quantitative T1 weighted DCE-MRI of rectal cancer [Dataset]", https://doi.org/10.11588/data/NULJJR, heiDATA, V2
Twenty-six patients with newly diagnosed rectal carcinoma underwent 3T MRI of the pelvis including a T1 weighted dynamic contrast enhanced (DCE) protocol before treatment. For eighteen patients, mean values for Plasma Flow (PF), Plasma Volume (PV) and Mean Transit Time (MTT) were... |