The norms and institutions of liberal democracy, market economy, and open society have become increasingly contested worldwide. Is the rise of illiberal and authoritarian contestations reflected in a decline of citizens’ acceptance of liberal ideas and values? Are these contestations a response to unfulfilled promises, inherent tensions, or other unresolved challenges? As part of the Cluster of Excellence "Contestations of the Liberal Script (SCRIPTS)", the comparative public opinion survey “Public Attitudes towards the Liberal Script (PALS)" provides data that lets scholars address these questions. The goal of PALS is first and foremost to measure attitudes towards what we call the liberal script. PALS was conducted in 26 countries (+50,000 respondents) using CAWI (quota sampling) and CAPI (random probability sampling) modes of data collection. The sample draws from a diverse set of countries to provide a global perspective.View less
This repository includes a TEI-encoded version of the Kitāb al-ʾInṣāf by Ibn al-Anbārī and an XSLT for the visualization of the resource. Further information is available in the Tei Header.
This repository includes a TEI-encoded version of the Kitāb Sībawayhi and an XSLT for the visualization of the resource. Further information is available in the Tei Header.
Multiplexed cellular imaging typically relies on the sequential application of detection probes, as antibodies or DNA barcodes, which is complex and time-consuming. To address this, we developed here protein nanobarcodes, composed of combinations of epitopes recognized by specific sets of nanobodies. The nanobarcodes are read in a single imaging step, relying on nanobodies conjugated to distinct fluorophores, which enables a precise analysis of large numbers of protein combinations. Fluorescence images from nanobarcodes were used as input images for a deep neural network, which was able to identify proteins with high precision. We thus present an efficient and straightforward protein identification method, which is applicable to relatively complex biological assays. We demonstrate this by a multi-cell competition assay, in which we successfully used our nanobarcoded proteins together with neurexin and neuroligin isoforms, thereby testing the preferred binding combinations of multiple isoforms, in parallel.View less
Bottom-up Wirkungsabschätzung Kaufprämie
Der Datensatz enthält Messwerte im fünf Minuten Takt des 'FU- Microclimate network' (FUMiNET) aus dem Berliner Stadtgebiet. Dieses Messnetz wurde kontinuierlich seit dem Jahr 2016 aufgebaut und dient der skalenübergreifenden Erfoschung des Stadtklimas von Berlin, welches durch das BMBF 'Stadtklima im Wandel Projektes' (https://www.uc2-program.org/) gefördert wurde. Die Stationen sind so aufgebaut, dass die Stadtstruktur von Berlin gut abgebildet wird. Gemessen wird die 2m Temperatur und Feuchte. Im Datenpaket sind die Daten des Jahres 2018 enthalten. Zu jeder der Stationen gibt es eine Datei mit gepackten Daten im CSV Format. In einer Gesamtbeschreibung als eine pdf Datei sind die Standorte expliziert beschrieben.View less
We present an enhanced High-Resolution Imaging Science Experiment (HiRISE) digital terrain model (DTM) mosaic of the Mars 2020 landing site at Jezero crater. Our DTM mosaic is produced using the FUB MIST Toolbox (A Pre-Trained Deep Learning Toolbox for Mars Monocular Image to Surface Topography Estimation, Tao & Walter, 2023), which significantly improves the effective resolution and eliminates artefacts. To generate this product, we use the publicly available Mars 2020 TRN (Terrain Relative Navigation) orthoimage and DTM mosaics, provided by the United States Geological Survey (USGS), as inputs. The resultant HiRISE DTM mosaic is strictly co-aligned with the original USGS DTM and orthoimage mosaics, which are already co-aligned with the USGS Context Camera (CTX) based DTM and orthoimage mosaics, as well as the ESA/DLR/FUB High Resolution Stereo Camera (HRSC) level 5 DTM and orthoimage mosaics that cover the same area.View less
A high-altitude observation campaign with the Mars Express High Resolution Stereo Camera was used to construct five global mosaics of Mars from images captured through each of its five different spectral filters: panchromatic, red, green, blue and infra-red. The substantial overlaps of high-altitude images enable the calculation of a global colour model yielding mosaics which both retain long range colour information and maintain high relative colour accuracy. The mosaics are currently processed at 2 km/pixel.View less
The "Wikidata Revision History Dataset" is a sample created from the Wikidata edit history. It contains details about each edit, including the task performed, the user group responsible, the timestamp, and the specific item and class to which it pertains. By analyzing these details, we can gain insights into the behavior of user groups and their editing patterns.
Wikidata-Requests-for-Permissions-Dataset is created based on the data from request pages for bot rights on the Wikidata website, spanning the years 2012 to 2018. This dataset aids in comprehending bots from a community perspective, as they have been the most prolific editors on Wikidata since its inception.
The "Wikidata Research Articles Dataset" comprises peer-reviewed full research papers about Wikidata from its first decade of existence (2012-2022). This dataset was curated to provide insights into the research focus of Wikidata, identify any gaps, and highlight the institutions actively involved in researching Wikidata.
The 2023 Disaster Research Journals (DRJ) list builds on the Disaster Research Journals Database (DRJD), which encompasses a curated list of journals dedicated to disaster research and science. The primary objective is to serve as a reliable resource for scholars, practitioners, and students navigating the vast and evolving landscape of disaster research literature. While the DRJ list and database can also assist researchers, professionals, and policymakers in identifying relevant publication outlets and consolidated sources of information in the field, they can be tools to track evolving trends and observe the development of the field, which has drastically expanded in the last decades. By August 2023, the DRJD contains 39 dimensions (or data points) for 111 journals. These data points range from basics such as ‘name’, ‘International Standard Serial Number (ISSN)’, ‘Uniform Resource Locator (URL)’, ‘publisher’, ‘country’, and ‘language’, to more specific details such as ‘short description’, ‘classification’, ‘COPE ethics guidelines’ signatory, ‘Open Access policy’, ‘Author Processing Charges (APC)’, ‘Copyrights’, ‘Turnaround times’, and ‘Periodicity’ (i.e., issues per year). Additionally, the database includes journal metrics like ‘Journal Impact Factor’, ‘CiteScore’, and ‘Google Scholar Metrics’.View less
Der Datensatz enthält Messwerte im fünf Minuten Takt des 'FU- Microclimate network' (FUMiNET) aus dem Berliner Stadtgebiet. Dieses Messnetz wurde kontinuierlich seit dem Jahr 2017 aufgebaut und dient der skalenübergreifenden Erfoschung des Stadtklimas von Berlin, welches durch das BMBF 'Stadtklima im Wandel Projektes' (https://www.uc2-program.org/) gefördert wurde. Die Stationen sind so aufgebaut, dass die Stadtstruktur von Berlin gut abgebildet wird. Gemessen wird die 2m Temperatur und Feuchte. Im Datenpaket sind die Daten des Jahres 2017 enthalten. Zu jeder der Stationen gibt es eine Datei mit gepackten Daten im CSV Format. In einer Gesamtbeschreibung als eine pdf Datei sind die Standorte expliziert beschrieben.View less
High-impact river floods are often caused by very extreme precipitation events with return periods of several decades or centuries, and the design of flood protection measures thus relies on reliable estimates of the corresponding return values. However, calculating such return values from observations is associated with large statistical uncertainties due to the limited length of observational time series. Here, estimates of 100-year return values of daily precipitation on a global grid based on a large data set of model-generated precipitation events from ensemble weather prediction are presented, in which statistical uncertainties of the return values are substantially reduced compared to observational estimates.View less
Governments all over the world are rapidly embracing digital technologies for information collection, governance, and social control. Recent studies suggest citizens may accept or even support digital surveillance. By using an online survey dataset on public opinion about facial recognition technology, contact tracing apps, and the social credit system in China, Germany, the US, and the UK, this paper shows that these studies have overlooked a small yet significant group of digital technology doubters. Our results show that while up to 10% of Chinese citizens belong to the group of “digital doubters,” this group is the largest in Germany with 30% of citizens. The US and the UK are in the middle with approximately 20%. While citizens who belong to this group of digital doubters worry about privacy and surveillance issues, their attitudes can also be explained by them not being convinced of the benefits of digital technologies, including improved efficiency, security, or convenience. We find that the more citizens lack trust in their government, the more likely they are to belong to the group of digital doubters. Our findings demonstrate that in both democratic and authoritarian states, there are citizens opposing the adoption of certain digital technologies. This underscores the importance of initiating societal debate to determine the appropriate regulations that align with these societal preferences.View less