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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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341 to 350 of 571 Results
Lauchheim II.3. Katalog der Gräber 601–900 [Supplement]
Lauchheim II.3. Katalog der Gräber 601–900 [Supplement]
Sep 21, 2020 - Propylaeum@heiDATA
Höke, Benjamin; Gauß, Florian; Peek, Christina; Stelzner, Jörg, 2020, "Lauchheim II.3. Katalog der Gräber 601–900 [Supplement]", https://doi.org/10.11588/data/NRHERZ, heiDATA, V1
Mit rund 1300 Gräbern aus dem Zeitraum vom späten 5. bis zum späten 7. Jahrhundert ist das Gräberfeld von Lauchheim "Wasserfurche" (Ostalbkreis) bis heute der größte bekannte merowingerzeitliche Bestattungsplatz Süddeutschlands. In den Jahren 1986 bis 1996 wurde das fast vollstän...
Datensatz zum Verbundprojekt GeoSpeicher.bw: Geothermische Speicherung in Baden-Württemberg
Datensatz zum Verbundprojekt GeoSpeicher.bw: Geothermische Speicherung in Baden-Württemberg
Sep 18, 2020 - Hydrogeochemie und Hydrogeologie
Isenbeck-Schröter, Margot; Ritter, Simon Michael, 2020, "Datensatz zum Verbundprojekt GeoSpeicher.bw: Geothermische Speicherung in Baden-Württemberg", https://doi.org/10.11588/data/GLQLSH, heiDATA, V1, UNF:6:yuWXTkgSzO/g/grDjaWLDg== [fileUNF]
Datensatz zu Abschlussbericht des Verbundprojekts GeoSpeicher.bw: Geothermische Speicherung in Baden-Württemberg Teilprojekt Heidelberg: Einfluss der Einspeicherung von Wärme im oberflächennahen Aquifer auf die Hydrogeochemie des Aquifers (Geospeicher.HD)
Copy Trading [Dataset]
Sep 14, 2020 - AWI Experimental Economics
Apesteguia, Jose; Oechssler, Jörg; Weidenholzer, Simon, 2020, "Copy Trading [Dataset]", https://doi.org/10.11588/data/PAMQ0B, heiDATA, V1, UNF:6:GrGXrQgTcdgZl5admIPidA== [fileUNF]
Copy trading allows traders in social networks to receive information on the success of other agents in financial markets and to directly copy their trades. Internet platforms like eToro, ZuluTrade, and Tradeo have attracted millions of users in recent years. The present paper st...
Differentiable RANSAC (DSAC) for Visual Re-Localization [Data]
Sep 7, 2020 - IWR Visual Learning Lab
Brachmann, Eric, 2020, "Differentiable RANSAC (DSAC) for Visual Re-Localization [Data]", https://doi.org/10.11588/data/3JVZSH, heiDATA, V1
Pre-trained models of our camera re-localization method for the MSR 7Scenes dataset. For more information, also see the code documentation: https://github.com/cvlab-dresden/DSAC
DSAC++ Visual Camera Re-Localization [Data]
Sep 7, 2020 - IWR Visual Learning Lab
Brachmann, Eric, 2020, "DSAC++ Visual Camera Re-Localization [Data]", https://doi.org/10.11588/data/EGCMUU, heiDATA, V1
Supplementary training data for visual camera re-localization, particularly rendered depth maps to be used in combination with the Cambridge Landmarks dataset. We also provide pre-trained models of our method for the MSR 7Scenes dataset and the Cambridge Landmarks dataset. For mo...
6D Object Pose Estimation using 3D Object Coordinates [Data]
Sep 7, 2020 - IWR Visual Learning Lab
Brachmann, Eric, 2020, "6D Object Pose Estimation using 3D Object Coordinates [Data]", https://doi.org/10.11588/data/V4MUMX, heiDATA, V1
Supplementary training data and binaries for 6D object pose estimation, particularly a dataset of 20 objects under various lighting conditions with RGB-D images, ground truth poses and segmentation as well as 3D models. Additionally, a collection of RGB-D images showing office ba...
Neural-Guided RANSAC for Estimating Epipolar Geometry [Data]
Sep 7, 2020 - IWR Visual Learning Lab
Brachmann, Eric, 2020, "Neural-Guided RANSAC for Estimating Epipolar Geometry [Data]", https://doi.org/10.11588/data/PCGYET, heiDATA, V1
Pre-computed sparse feature correspondences for pairs of images (outdoor and indoor) to reproduce the experiments described in our paper, particularly to train and evaluate NG-RANSAC. For more information, also see the code documentation: https://github.com/vislearn/ngransac
Expert Sample Consensus (ESAC) for Visual Re-Localization [Data]
Sep 7, 2020 - IWR Visual Learning Lab
Brachmann, Eric, 2020, "Expert Sample Consensus (ESAC) for Visual Re-Localization [Data]", https://doi.org/10.11588/data/GSJE9D, heiDATA, V1
Supplementary training data for visual camera re-localization, particularly pre-computed scene coordinates to the MSR 7Scenes dataset and the Standford 12Scenes dataset. We also provide pre-trained models of our method for the 7Scenes, 12Scenes, Dubrovnik and Aachen (day) dataset...
(MI)MI Model
(MI)MI Model
Aug 27, 2020 - Leuschner Lab
Leuschner, Florian, 2020, "(MI)MI Model", https://doi.org/10.11588/data/Y6Y7P0, heiDATA, V1, UNF:6:+YH2Zdq/RGjq2VJMW9SMQQ== [fileUNF]
Source data for 'A minimal-invasive approach for standardized induction of myocardial infarction in mice'.
Effects of temperature and light on methane production of widespread marine Phytoplankton [Dataset]
Aug 20, 2020 - Biogeochemistry
Klintzsch, Thomas; Keppler, Frank, 2020, "Effects of temperature and light on methane production of widespread marine Phytoplankton [Dataset]", https://doi.org/10.11588/data/AGKWSG, heiDATA, V1, UNF:6:4gqE/aagNenh7Fz17ii/eg== [fileUNF]
In the present study we investigated the effects of temperature and light intensity (including daylength) on CH4 formation from three widespread marine algal species Emiliania huxleyi, Phaeocystis globosa and Chrysochromulina sp.. Rates of E. huxleyi increased by 210 % when tempe...
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