727 research outputs found
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Post-communist countries and their participation in international forums on energy [Dataset]
No full textThis dataset acompanies the paper "Post-communist countries and their participation in international forums on energy". This explorative analysis investigates in which international forums on energy Post-Communist countries participate and what motivates their participation. Theoretically, the article draws from theories of policy diffusion to explain why the Post-Communist countries have joined the 11 international forums on climate governance selected. It contends that the wish to follow the example of high-status countries or organizations, considerations concerning economic competitiveness, and the wish to obtain access to knowledge are potential factors explaining membership. Empirically, the article uses explorative methods to probe the plausibility of the three hypotheses. The database comprises information on the participation of 28 Post-Communist countries in 11 pertinent international forums, which are all characterized by a low degree of formalization and voluntary cooperation. Our findings show that neither the European Union nor Russia as a high-status organization or country had a robust impact on the Post-Communist countries’ decision to join the international forums on energy of interest. Instead, our indicative and preliminary findings suggest that access to knowledge was the most relevant driver of participation
Evaluation of the accuracy, exclusivity, limit-of-detection and ease-of-use of the LumiraDx SARS-CoV-2 test - A rapid, antigen-detecting point-of-care tool for the diagnosis of SARS-CoV-2 [Research Data]
No full textThis repository includes data from a prospective, multi-centre diagnostic accuracy study. The study was conducted at two sites in Germany, Heidelberg and Berlin. Following routine testing with reverse-transcriptase polymerase chain reaction (RT-PCR), a second study-exclusive swab was performed for Ag-RDT testing. Routine swabs were nasopharyngeal (NP) or combined NP/oropharyngeal (OP) whereas the study-exclusive swabs were NP. To evaluate performance, sensitivity and specificity were assessed overall and in predefined sub analyses accordingly to viral load, days of symptoms and symptoms. In addition, further data from the participants were collected during interview
Heidelberg Cyber Conflict Dataset (HD-CY.CON)
No full textThe Heidelberg Cyber Conflict Dataset (HD-CY.CON) has been developed at the Institute for Political Science, Heidelberg University, under the guidance of Prof. Dr. Sebastian Harnisch. HD-CY.CON is a comprehensive dataset on malicious cyber operations, integrating categories of offline conflict research with characteristics of online conflicts. Drawing on a broad variety of news sources, technical threat research reports by IT-companies and information offered by state security agencies, HD-CY.CON (currently) comprises data on 1265 cyber incidents from 2000 – 2019. The data set includes operations by states and various non-state-actors, both as attackers and victims. While existing cyber conflict datasets focus on generic categories, such as "state or state-supported" cyber operations, the Heidelberg data set offers a more nuanced differentiation of political and technical attribution statements, including the attributing initiator and its characteristics. In addition, HD-CY.CON uses conflict categories of the Conflict Barometer by the Heidelberg Institute for International Conflict Research (HIIK), thus allowing a closer examination of interaction between between offline-, and online conflict dynamics. Cyber incidents are coded according to categories of the HD.CY-CON codebook and differentiated into three main incident types: data theft, disruption and hijacking. Moreover, they are accredited an intensity score, based on technical and socio-political indicators
The Influence of Social Information on Norms of Cooperation [research data PhD project]
No full textReplication package for the dissertation titled "The Influence of Social Information on Norms of Cooperation" by Tillmann Eymess, Heidelberg University.
The package includes all replication files for the individual chapters of the dissertation as well as supplementary material. Provided are .csv files with the minimal data sets necessary to replicate all results, as well as scripts (for Stata and R), and readme files
Macro-event recognition in healthy aging, Alzheimer's disease, and mild cognitive impairment [Data]
No full textThe data set contains the data associated with the study on "Macro-event recognition in healthy aging, Alzheimer's disease, and mild cognitive impairment". The files include the javascript codes for running the experiments, the data, and example stimuli
Stochastic dynamics of a few sodium atoms in presence of a cold potassium cloud [data]
No full textWe provide the data and our jupyter notebooks used to generate the figures of our publication.
Abstract: Single particle resolution is a requirement for numerous experimental protocols that emulate the dynamics of small systems in a bath. Here, we accurately resolve through atom counting the stochastic dynamics of a few sodium atoms in presence of a cold potassium cloud. This capability enables us to rule out the effect of inter-species interaction on sodium atom number dynamics, at very low atomic densities present in these experiments. We study the noise sources for sodium and potassium in a common framework. Thereby, we assign the detection limits to 4.3 atoms for potassium and 0.2 atoms (corresponding to 96% fidelity) for sodium. This opens possibilities for future experiments with a few atoms immersed in a quantum degenerate gas
X-SRL Dataset and mBERT Word Aligner
No full textThis code contains a method to automatically align words from parallel sentences by using multilingual BERT pre-trained embeddings. This can be used to transfer source annotations (for example labeled English
sentences) into the target side (for example a German translation of the
sentence) by transferring the label into the best-aligned target word.
This newly labeled data can be used to train different multilingual SOTA models to improve performance, especially for the lower-resource languages
Research data for dissertation project "The dynamic preferences and incentives of natural resource users".
No full textContained in this datset are the data from the surveys in Chile and Tanzania and the replication files for the analysis conducted in the doctoral dissertation: "The dynamic preferences and incentives of natural resource users". The project is centered around the management of natural resources and the behaviours of resource users, such as small-scale fishers. The papers within the dissertation touch on subjects such as endogenous risk- and social preference, prudence, precautionary savings and social norms of cooperation
Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning [Research Data]
No full textDATASET FOR JOURNAL PAPER (https://doi.org/10.1016/j.jag.2021.102571)
Large-scale mapping activities can benefit from the vastly increasing availability of earth observation (EO) data, especially when combined with volunteered geographical information (VGI) using machine learning (ML). High-resolution maps of inland surface water bodies are important for water supply and natural disaster mitigation as well as for monitoring, managing, and preserving landscapes and ecosystems. In this paper, we propose an automatic surface water mapping workflow by training a deep residual neural network (ResNet) based on OpenStreetMap (OSM) data and Sentinel-2 multispectral data, where the Simple Non-Iterative Clustering (SNIC) superpixel algorithm was employed for generating object-based training samples. As a case study, we produced an open surface water layer for Germany using a national ResNet model at a 10m spatial resolution, which was then harmonized with OSM data for final surface water products. Moreover, we evaluated the mapping accuracy of our open water products via conducting expert validation campaigns and comparing to existing water products, namely the WasserBLIcK and Global Surface Water Layer (GSWL). Using 4,600 validation samples in Germany, the proposed model (ResNet+SNIC) achieved an overall accuracy of 86.32% and competitive detection rates over the WasserBLIcK (87.47%) and GSWL (98.61%). This study provides comprehensive insights into how to best explore the synergy of VGI and ML of EO data in a large-scale surface water mapping task
Digital Elevation Model "Ville" from 1893
No full textThe area of the Ville in western Germany is of particular importance for studying anthropogenic induced relief changes, as it belongs to the largest and oldest historic lignite mining areas worldwide. Comparison of topographic data from the first geodetic mapping in 1893 to 2015 allows the quantification of relief changes in a completed example of a post-mining landscape.
The dataset "Digital Elevation Model "Ville" from 1893" is computed based on the digitized contour lines of the historic map Preußische Neuaufnahme, which is the first geodetic mapping in the area. The DEM has a spatial resolution of 30 m