Metrics
199,291 Downloads
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

There was an error with your search parameters. Please clear your search and try again.

41 to 50 of 72 Results
Jan 20, 2021 - Empirical Linguistics and Computational Language Modeling (LiMo)
van den Berg, Esther; Korfhage, Katharina; Ruppenhofer, Josef; Wiegand, Michael; Markert, Katja, 2020, "German Twitter Titling Corpus", https://doi.org/10.11588/data/AOSUY6, heiDATA, V2, UNF:6:14BxjwJS7Q3mfI6ei7iBBw== [fileUNF]
The German Titling Twitter Corpus consists of 1904 stance-annotated tweets collected in June/July 2018 mentioning 24 German politicians with a doctoral degree. The Addendum contains an additional 296 stance-annotated tweets from each month of 2018 mentioning 10 politicians with a...
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)
Apr 6, 2020 - Anders Group
Roider, Tobias; Seufert, Julian; Uvarovskii, Alexey; Frauhammer, Felix; Bordas, Marie; Abedpour, Nima; Stolarczyk, Marta; Mallm, Jan-Philipp; Herbst, Sophie A.; Bruch, Peter-Martin; Balke-Want, Hyatt; Hundemer, Michael; Rippe, Karsten; Goeppert, Benjamin; Seiffert, Martina; Brors, Benedikt; Mechtersheimer, Gunhild; Zenz, Thorsten; Peifer, Martin; Chapuy, Björn; Schlesner, Matthias; Müller-Tidow, Carsten; Fröhling, Stefan; Huber, Wolfgang; Anders, Simon; Sascha Dietrich, 2020, "Dissecting intratumor heterogeneity of nodal B cell lymphomas at transcriptional, genetic, and drug response levels", https://doi.org/10.11588/data/VRJUNV, heiDATA, V1, UNF:6:AlKw3YwYZ82Ty5CxnC4D5w== [fileUNF]
Tumour heterogeneity encompasses both the malignant cells and their microenvironment. While heterogeneity between individual patients is known to affect the efficacy of cancer therapy, most personalized treatment approaches do not account for intratumor heterogeneity. We addresse...
Apr 2, 2020 - Synthetic Quantum Systems (SynQS)
Hesse, Alexander; Köster, Kerim; Steiner, Jakob; Michl, Julia; Vorobyov, Vadim; Dasari, Durga; Wrachtrup, Jörg; Jendrzejewski, Fred, 2020, "Direct control of high magnetic fields for cold atom experiments based on NV centers [Dataset]", https://doi.org/10.11588/data/W60KUN, heiDATA, V2, UNF:6:3I/nRXdQ66s4MU0XvXd49g== [fileUNF]
In atomic physics experiments, magnetic fields allow to control the interactions between atoms, eg. near Feshbach resonances, or by employing spin changing collisions. The magnetic field control is typically performed indirectly, by stabilizing the current of Helmholtz coils prod...
Feb 6, 2020 - SFB 1036
Haneke, Katharina; Stoecklin, Georg, 2020, "CDK1 couples proliferation with protein synthesis [Repository Tables R1-R4]", https://doi.org/10.11588/data/EFHOBZ, heiDATA, V1, UNF:6:+D39RBZQyWVzfn6Sv1nj+w== [fileUNF]
Cell proliferation exerts a high demand on protein synthesis, yet the mechanisms coupling the two processes are not fully understood. A kinase and phosphatase screen for activators of translation, based on the formation of stress granules in human cells, revealed cell cycle-assoc...
Dec 10, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Becker, Maria, 2019, "GER_SET: Situation Entity Type labelled corpus for German", https://doi.org/10.11588/data/BBQYD0, heiDATA, V1
Semantic clause types, also called Situation Entity (SE) types (Smith, 2003) are linguistic characterizations of aspectual properties shown to be useful for tasks like argumentation structure analysis (Becker et al., 2016), genre characterization (Palmer and Friedrich, 2014), and...
Nov 22, 2019 - heiEDITIONS
Chinca, Mark; Hunter, Helen; Wolf, Jürgen; Young, Christopher, 2018, "Kaiserchronik - digital", https://doi.org/10.11588/data/PEFKJM, heiDATA, V3
The digital edition presents the entire manuscript transmission of the Kaiserchronik, both known and extant, in dual format: digital facsimiles of the manuscripts (where these are still extant) on the one hand, transcriptions of the manuscript text on the other. Manuscripts now l...
Nov 2, 2019 - Cluster of Excellence - Asia and Europe in a Global Context
Arnold, Matthias; Heckmann, Dustin; Gietz, Peter; Frank, Anette; Ursinus, Michael; Roth, Christian; Chitavong, Arina; Hansche, Jens; Bellm, Nicolas; Dolata, Mateusz, 2021, "Turkology Annual Online – Full bibliographic records", https://doi.org/10.11588/data/GH511N, heiDATA, V1, UNF:6:aaqSnQUE8FgNgcR5FZ5pSQ== [fileUNF]
The "Turkologischer Anzeiger/Turkology Annual" (TA), founded by Andreas Tietze (†) and György Hazai (†), is an indispensable systematic bibliography for Turkology and Ottoman Studies. Experts from all over the world contribute to its compilation, which is funded by several instit...
Oct 8, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Ruppenhofer, Josef, 2019, "Affixoid Dataset (DE)", https://doi.org/10.11588/data/QKF4LT, heiDATA, V1, UNF:6:+MGK9lTPTXx7Rclu1BpPnw== [fileUNF]
The dataset contains the manual annotations for the COLING 2018 submission "Distinguishing affixoid formations from compounds" by Josef Ruppenhofer, Michael Wiegand, Rebecca Wilm and Katja Markert. 1788 complex words containing one of 7 German suffixoid candidates (e.g. -hai, -go...
Sep 5, 2019 - Empirical Linguistics and Computational Language Modeling (LiMo)
Wiegand, Michael; Bocionek, Christine; Ruppenhofer, Josef, 2019, "Sentiment Compound Data (DE)", https://doi.org/10.11588/data/LSTRK3, heiDATA, V1
This dataset contains gold standards that are required for building a classifier that automatically extracts opinion (noun) compounds.
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.