There was an error with your search parameters. Please clear your search and try again.
11 to 20 of 294 Results
De la Rosa, Javier; Suárez, Juan-Luis, 2015, "A Quantitative Approach to Beauty [Dataset]", https://doi.org/10.11588/data/10057, heiDATA, V1
The purpose of the the data collection was to determine the shape of the change in beauty in depicted faces over time. The dataset is comprised by almost 120,000 paintings from different times and styles. |
Dec 13, 2023 - Auditory Cognition Laboratory
Das, Diptyajit; Shaw, Marnie E.; Hämäläinen, Matti S.; Dykstra, Andrew R.; Doll, Laura; Gutschalk, Alexander, 2023, "A role for retro-splenial cortex in the task-related P3 network [Research Data]", https://doi.org/10.11588/data/YB9SQI, heiDATA, V1
Objective: The P3 is an event-related response observed in relation to task-relevant sensory events. Despite its ubiquitous presence, the neural generators of the P3 are controversial and not well identified. Methods: We compared source analysis of combined magneto- and electroen... |
Nov 23, 2022 - Institute of Organic Chemistry - AK Mastalerz
Yang, Xuan; Elbert, Sven Michael; Rominger, Frank; Mastalerz, Michael, 2022, "A Series of Soluble Thieno-fused Coronene Nanoribbons of Precise Lengths [Data]", https://doi.org/10.11588/data/30AOAT, heiDATA, V1
Among graphene nanoribbons (GNRs), reports on coronene-based GNRs were very rare, despite the unique optoelectronic properties of coronene. Herein, the synthesis of a series of structurally precise and soluble thieno-fused coronene nanoribbons (CR-1 to CR-4) with up to four coron... |
Kops, Christopher; Pasichnichenko, Illia, 2020, "A Test of Information Aversion", https://doi.org/10.11588/data/G0RNAZ, heiDATA, V1, UNF:6:GkvwqL6qHXH4RRvkp1xJWA== [fileUNF]
The standard Bayesian model implies that information can never have a negative value. We put this implication to the proof. Our paper provides the first test of the value (positive or negative) of information under uncertainty. We show that the ``Bayesian implication'' stands in... |
Aug 31, 2015 - AWI Experimental Economics
Oechssler, Jörg; Roomets, Alex, 2015, "A Test of Mechanical Ambiguity [Dataset]", https://doi.org/10.11588/data/10059, heiDATA, V1, UNF:5:0TQJ35gJjj9nUWl9FiZstA== [fileUNF]
We implement an experiment to elicit subjects’ ambiguity attitudes in the spirit of Ellsberg's three-color urn. The procedure includes three design elements that (together) have not been featured in similar experiments: Strict ambiguity preferences, a single decision, and a mecha... |
Feb 4, 2019 - AIPHES
Marasovic, Ana, 2019, "Abstract Anaphora Resolution [Source Code]", https://doi.org/10.11588/data/UDMPY5, heiDATA, V1
Abstract Anaphora Resolution (AAR) aims to find the interpretation of nominal expressions (e.g., this result, those two actions) and pronominal expressions (e.g., this, that, it) that refer to abstract-object-antecedents such as facts, events, plans, actions, or situations. The f... |
Feb 25, 2022 - Division of Infectious Disease and Tropical Medicine
Brümmer, Lukas E.; Katzenschlager, Stephan; McGrath, Sean; Schmitz, Stephani; Gaeddert, Mary; Erdmann, Christian; Bota, Marc; Grilli, Maurizio; Larmann, Jan; Weigand, Markus A.; Pollock, Nira R.; Macé, Aurélien; Erkosar, Berra; Carmona, Sergio; Sacks, Jilian A.; Ongarello, Stefano; Denkinger, Claudia M., 2022, "Accuracy of rapid point-of-care antigen-based diagnostics for SARS-CoV-2: an updated systematic review and meta-analysis with meta regression analyzing influencing factors [Research Data]", https://doi.org/10.11588/data/T3MIB0, heiDATA, V1
Background Comprehensive information about the accuracy of antigen rapid diagnostic tests (Ag-RDTs) for SARS-CoV-2 is essential to guide public health decision makers in choosing the best tests and testing policies. In August 2021, we published a systematic review and meta-analys... |
Sep 18, 2023 - Functional Neuroanatomy
Johannes Knabbe, 2023, "Accurate classification of major brain cell types using in vivo imaging and neural network processing", https://doi.org/10.11588/data/L3PITA, heiDATA, V1, UNF:6:j36lvBMAVhENUbq1px2P/Q== [fileUNF]
This dataset accompanies the article of the same title in the journal Plos Biology. It includes a) Ground truth datasets for the training of the StarDist neuronal network for nucleus segmentation (StardistTraining.tar.gz) b) The trained Stardist nucleus segmentation model (Stardi... |
Mar 21, 2024 - AG Weinhardt
Erozan, Ayse; Heuveline, Vincent; Weinhardt, Venera, 2024, "ACSeg: Automated 3D Cytoplasm Segmentation in Soft X-Ray Tomography [Jurkat T cell data]", https://doi.org/10.11588/data/XEBZLL, heiDATA, V1
The structure of cells is a key to understanding cellular function, diagnosing diseases, and developing new treatments. Soft X-ray tomography is uniquely used to access 3D cellular structure of various cells at statistically significant sample sizes. These datasets are reconstruc... |
Sep 22, 2022 - Bothlab
Hodapp, Alexander; Kaiser, Martin E.; Thome, Christian; Ding, Lingjun; Rozov, Andrei; Klumpp, Matthias; Stevens, Nikolas; Stingl, Moritz; Sackmann, Tina; Lehmann, Nadja; Draguhn, Andreas; Burgalossi, Andrea; Engelhardt, Maren; Both, Martin, 2022, "Activity of AcD and nonAcD cells during high-frequency network oscillations [data]", https://doi.org/10.11588/data/JWLFFZ, heiDATA, V1, UNF:6:IbIOEy1OPRgP05Qd2QIN4w== [fileUNF]
Information processing in neuronal networks involves the recruitment of selected neurons into coordinated spatiotemporal activity patterns. This sparse activation results from widespread synaptic inhibition in conjunction with neuron-specific synaptic excitation. We report the se... |
