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<title>7 Mathematisch-Naturwissenschaftliche Fakultät</title>
<link href="http://hdl.handle.net/10900/33646" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/10900/33646</id>
<updated>2026-08-13T12:52:51Z</updated>
<dc:date>2026-08-13T12:52:51Z</dc:date>
<entry>
<title>Crows recognize geometric regularity</title>
<link href="http://hdl.handle.net/10900/182141" rel="alternate"/>
<author>
<name>Schmidbauer, Philipp</name>
</author>
<author>
<name>Hahn, Madita</name>
</author>
<author>
<name>Nieder, Andreas</name>
</author>
<id>http://hdl.handle.net/10900/182141</id>
<updated>2026-08-10T23:00:35Z</updated>
<published>2025-01-01T00:00:00Z</published>
<summary type="text">Crows recognize geometric regularity
Schmidbauer, Philipp; Hahn, Madita; Nieder, Andreas
</summary>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Prediction of lead in agricultural soils : an integrated approach using machine learning, terrain attributes and reflectance spectra</title>
<link href="http://hdl.handle.net/10900/182140" rel="alternate"/>
<author>
<name>Kebonye, Ndiye Michael</name>
</author>
<id>http://hdl.handle.net/10900/182140</id>
<updated>2026-08-10T23:00:36Z</updated>
<published>2025-01-01T00:00:00Z</published>
<summary type="text">Prediction of lead in agricultural soils : an integrated approach using machine learning, terrain attributes and reflectance spectra
Kebonye, Ndiye Michael
</summary>
<dc:date>2025-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>The aggregation of ROAD data in the ARIADNE pipeline : pitfalls and successes</title>
<link href="http://hdl.handle.net/10900/182119" rel="alternate"/>
<author>
<name>Kandel, Andrew W.</name>
</author>
<author>
<name>Haidle, Miriam N.</name>
</author>
<author>
<name>Hochschild, Volker</name>
</author>
<author>
<name>Sommer, Christian</name>
</author>
<author>
<name>Kanaeva, Zara</name>
</author>
<id>http://hdl.handle.net/10900/182119</id>
<updated>2026-08-07T23:00:48Z</updated>
<published>2023-01-01T00:00:00Z</published>
<summary type="text">The aggregation of ROAD data in the ARIADNE pipeline : pitfalls and successes
Kandel, Andrew W.; Haidle, Miriam N.; Hochschild, Volker; Sommer, Christian; Kanaeva, Zara
</summary>
<dc:date>2023-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Buried soils from the Holocene Humid Period in Wadi Shuwayhi, Al-Khashbah (Oman)</title>
<link href="http://hdl.handle.net/10900/182117" rel="alternate"/>
<author>
<name>Pietsch, Dana</name>
</author>
<author>
<name>Schmidt, Conrad</name>
</author>
<author>
<name>Kühn, Peter</name>
</author>
<id>http://hdl.handle.net/10900/182117</id>
<updated>2026-08-07T23:00:50Z</updated>
<published>2026-01-01T00:00:00Z</published>
<summary type="text">Buried soils from the Holocene Humid Period in Wadi Shuwayhi, Al-Khashbah (Oman)
Pietsch, Dana; Schmidt, Conrad; Kühn, Peter
</summary>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</entry>
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