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1 to 10 of 95 Results

OpenStreetMap land use for Europe "Research Data" Apr 26, 2024 - GIScience / Geoinformatics Research Group Schultz, Michael; Li, Hao; Wu, Zhaoyhan; Wiell, Daniel; Auer, Michael; Zipf, Alexander, 2024, "OpenStreetMap land use for Europe "Research Data"", https://doi.org/10.11588/data/IUTCDN, heiDATA, V1 OSMLanduse data is a scientific dataset generated within the scope of the Horizon 2020 - LandSense project. It is a classification of Sentinel-2 imagery using a deep learning model trained on OSM landuse and landcover features. The data might contain errorneous classifications. T...
Knowledge-Enhanced Neural Networks for Machine Reading Comprehension [Source Code and Additional Material] Apr 24, 2024 - AIPHES Mihaylov, Todor, 2024, "Knowledge-Enhanced Neural Networks for Machine Reading Comprehension [Source Code and Additional Material]", https://doi.org/10.11588/data/HU3ARF, heiDATA, V1 Machine Reading Comprehension is a language understanding task where a system is expected to read a given passage of text and typically answer questions about it. When humans assess the task of reading comprehension, in addition to the presented text, they usually use the knowled...
DLP 4D Printing of Multi-Responsive Bilayered Structures [data] Apr 22, 2024 - Blasco Group Mainik, Philipp; Hsu, Li-Yun; Zimmer, Claudius W.; Fauser, Dominik; Steeb, Holger; Blasco, Eva, 2024, "DLP 4D Printing of Multi-Responsive Bilayered Structures [data]", https://doi.org/10.11588/data/CVHTJ1, heiDATA, V1 Advances in soft robotics strongly rely on the development and manufacturing of new responsive soft materials. In particular, light-based 3D printing techniques, and especially, digital light processing (DLP), offer a versatile platform for the fast manufacturing of complex 3D/4D...
Tegeder Group(Universität Heidelberg) Mar 27, 2024 Research data publications of tegeder group.
Macromolecular Engineering: From Precise Macromolecular Inks to 3D Printed Microstructures [data] Mar 4, 2024 - 3D Matter Made to Order (3DMM2O) Catt, Samantha; Hackner, Maximillian; Spatz, Joachim P.; Blasco, Eva, 2024, "Macromolecular Engineering: From Precise Macromolecular Inks to 3D Printed Microstructures [data]", https://doi.org/10.11588/data/T2SJZC, heiDATA, V1 Macromolecules with complex, defined structures exist in nature but rarely is this degree of control afforded in synthetic macromolecules. Sequence-defined approaches provide a solution for precise control of the primary macromolecular structure. Despite a growing interest, very...
RATIO_EXPLAIN(Heidelberg University, Department of Computational Linguistics) Feb 26, 2024 Open Research Data from the ExpLAIN project, a joint research project of the NLP Group at the Computational Linguistics Department of Heidelberg University and the Data and Web Science Groupat University of Mannheim.
Gade Group(Universität Heidelberg) Feb 20, 2024 The research focus is the development of the chemistry of azaperylenes with hitherto non-accessible CH/N substitution patterns. The aim in this context is an access to redox-active molecules which may act as multi-electron reservoirs or electron acceptors in n-channel semiconduct...
Integrating VGI contributions for gully mapping using Kalman filter and machine learning Feb 19, 2024 - 3D Spatial Data Processing Vallejo Orti, Miguel; Anders, Katharina; Ajali, Oliubikum; Bubenzer, Olaf; Höfle, Bernhard, 2024, "Integrating VGI contributions for gully mapping using Kalman filter and machine learning", https://doi.org/10.11588/data/UHSQG0, heiDATA, V1, UNF:6:dbfZe/C8CmWXcBEZJg2RPw== [fileUNF] The codes and datsets included are related to experiments and results conducted to integrate different lines digitized by volunteers using Kalman filter with changing amount of input lines. Three approaches are included: i) Kalman filtering integration to investigate the role of...
Triggered contraction of self-assembled micron-scale DNA nanotube rings [Research Data] Feb 16, 2024 - Göpfrich Group - Biophysical Engineering of Life Illig, Maja; Jahnke, Kevin; Weise, Lukas P.; Scheffold, Marlene; Mersdorf, Ulrike; Drechsler, Hauke; Zhang, Yixin; Diez, Stefan; Kierfeld, Jan; Göpfrich, Kerstin, 2024, "Triggered contraction of self-assembled micron-scale DNA nanotube rings [Research Data]", https://doi.org/10.11588/data/ADYUNN, heiDATA, V1, UNF:6:AJdXI51lTUqvs4V/XCVPZQ== [fileUNF] Contractile rings formed from cytoskeletal filaments mediate the division of cells. Ring formation is induced by specific crosslinkers, while contraction is typically associated with motor protein activity. Here, we engineer DNA nanotubes as mimics of cytoskeletal filaments and a...
Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation Jan 18, 2024 - 3D Spatial Data Processing Weiser, Hannah; Ulrich, Veit; Winiwarter, Lukas; Esmorís, Alberto M.; Höfle, Bernhard, 2024, "Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation", https://doi.org/10.11588/data/UUMEDI, heiDATA, V1, UNF:6:9U7BGTgjjsWd1GduT1qXjA== [fileUNF] This dataset contains 11 terrestrial laser scanning (TLS) tree point clouds (in .LAZ format v1.4) of 7 different species, which have been manually labeled into leaf and wood points. The labels are contained in the Classification field (0 = wood, 1 = leaf). The point clouds have a...

OpenStreetMap land use for Europe "Research Data"

Apr 26, 2024 - GIScience / Geoinformatics Research Group

Schultz, Michael; Li, Hao; Wu, Zhaoyhan; Wiell, Daniel; Auer, Michael; Zipf, Alexander, 2024, "OpenStreetMap land use for Europe "Research Data"", https://doi.org/10.11588/data/IUTCDN, heiDATA, V1

OSMLanduse data is a scientific dataset generated within the scope of the Horizon 2020 - LandSense project. It is a classification of Sentinel-2 imagery using a deep learning model trained on OSM landuse and landcover features. The data might contain errorneous classifications. T...

Knowledge-Enhanced Neural Networks for Machine Reading Comprehension [Source Code and Additional Material]

Apr 24, 2024 - AIPHES

Mihaylov, Todor, 2024, "Knowledge-Enhanced Neural Networks for Machine Reading Comprehension [Source Code and Additional Material]", https://doi.org/10.11588/data/HU3ARF, heiDATA, V1

Machine Reading Comprehension is a language understanding task where a system is expected to read a given passage of text and typically answer questions about it. When humans assess the task of reading comprehension, in addition to the presented text, they usually use the knowled...

DLP 4D Printing of Multi-Responsive Bilayered Structures [data]

Apr 22, 2024 - Blasco Group

Mainik, Philipp; Hsu, Li-Yun; Zimmer, Claudius W.; Fauser, Dominik; Steeb, Holger; Blasco, Eva, 2024, "DLP 4D Printing of Multi-Responsive Bilayered Structures [data]", https://doi.org/10.11588/data/CVHTJ1, heiDATA, V1

Advances in soft robotics strongly rely on the development and manufacturing of new responsive soft materials. In particular, light-based 3D printing techniques, and especially, digital light processing (DLP), offer a versatile platform for the fast manufacturing of complex 3D/4D...

Tegeder Group(Universität Heidelberg)

Mar 27, 2024

Research data publications of tegeder group.

Macromolecular Engineering: From Precise Macromolecular Inks to 3D Printed Microstructures [data]

Mar 4, 2024 - 3D Matter Made to Order (3DMM2O)

Catt, Samantha; Hackner, Maximillian; Spatz, Joachim P.; Blasco, Eva, 2024, "Macromolecular Engineering: From Precise Macromolecular Inks to 3D Printed Microstructures [data]", https://doi.org/10.11588/data/T2SJZC, heiDATA, V1

Macromolecules with complex, defined structures exist in nature but rarely is this degree of control afforded in synthetic macromolecules. Sequence-defined approaches provide a solution for precise control of the primary macromolecular structure. Despite a growing interest, very...

RATIO_EXPLAIN(Heidelberg University, Department of Computational Linguistics)

Feb 26, 2024

Open Research Data from the ExpLAIN project, a joint research project of the NLP Group at the Computational Linguistics Department of Heidelberg University and the Data and Web Science Groupat University of Mannheim.

Gade Group(Universität Heidelberg)

Feb 20, 2024

The research focus is the development of the chemistry of azaperylenes with hitherto non-accessible CH/N substitution patterns. The aim in this context is an access to redox-active molecules which may act as multi-electron reservoirs or electron acceptors in n-channel semiconduct...

Integrating VGI contributions for gully mapping using Kalman filter and machine learning

Feb 19, 2024 - 3D Spatial Data Processing

Vallejo Orti, Miguel; Anders, Katharina; Ajali, Oliubikum; Bubenzer, Olaf; Höfle, Bernhard, 2024, "Integrating VGI contributions for gully mapping using Kalman filter and machine learning", https://doi.org/10.11588/data/UHSQG0, heiDATA, V1, UNF:6:dbfZe/C8CmWXcBEZJg2RPw== [fileUNF]

The codes and datsets included are related to experiments and results conducted to integrate different lines digitized by volunteers using Kalman filter with changing amount of input lines. Three approaches are included: i) Kalman filtering integration to investigate the role of...

Triggered contraction of self-assembled micron-scale DNA nanotube rings [Research Data]

Feb 16, 2024 - Göpfrich Group - Biophysical Engineering of Life

Illig, Maja; Jahnke, Kevin; Weise, Lukas P.; Scheffold, Marlene; Mersdorf, Ulrike; Drechsler, Hauke; Zhang, Yixin; Diez, Stefan; Kierfeld, Jan; Göpfrich, Kerstin, 2024, "Triggered contraction of self-assembled micron-scale DNA nanotube rings [Research Data]", https://doi.org/10.11588/data/ADYUNN, heiDATA, V1, UNF:6:AJdXI51lTUqvs4V/XCVPZQ== [fileUNF]

Contractile rings formed from cytoskeletal filaments mediate the division of cells. Ring formation is induced by specific crosslinkers, while contraction is typically associated with motor protein activity. Here, we engineer DNA nanotubes as mimics of cytoskeletal filaments and a...

Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation

Jan 18, 2024 - 3D Spatial Data Processing

Weiser, Hannah; Ulrich, Veit; Winiwarter, Lukas; Esmorís, Alberto M.; Höfle, Bernhard, 2024, "Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation", https://doi.org/10.11588/data/UUMEDI, heiDATA, V1, UNF:6:9U7BGTgjjsWd1GduT1qXjA== [fileUNF]

This dataset contains 11 terrestrial laser scanning (TLS) tree point clouds (in .LAZ format v1.4) of 7 different species, which have been manually labeled into leaf and wood points. The labels are contained in the Classification field (0 = wood, 1 = leaf). The point clouds have a...

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