TUDOdata (Techn. Univ. Dortmund)
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German News Portals: The Linked Domains In Their Articles
No full textThe dataset was created to investigate the linking behavior of 12 of the largest German news portals, with the goal of understanding how they connect to other online resources. Specifically, this study aims to examine whether the number of links correlates with other variables such as article title, keywords, section, and length. By analyzing these relationships, we hope to gain insights into the factors that influence the linking behavior of news portals. The data was automatically scraped using a web crawler implemented in Python. For copyright reasons, the article texts are not included.
Methods
To collect the data, we employed a web crawling and scraping approach, where the homepages of the 12 news portals were crawled daily at 12 noon during the survey period. We used the Scrapy and Selenium libraries in Python to implement the crawler and scraper, which allowed us to handle cookie banners, interactive elements, and dynamic content when necessary. The crawler extracted all news articles in text form on the homepage, along with the links contained within the article text. The code is available on Github at https://github.com/EstherKuerbis/NewsArticlesScraper.git, allowing other researchers to review, use, and modify the code for their own purposes. To exclude irrelevant links, we filtered out links that appeared alongside the article text, such as advertisements. Where possible, we extracted the articles’ departments from the scraped keywords or URLs. To categorize the domains, we used a Python script to automatically subdivide them into internal and external domains based on the domain name in the URL. This approach enabled us to collect a comprehensive dataset of news articles and links, which can be used to analyze the linking behavior of news portals.</p
Replication Data for: H-Tunneling Rotamerization in Glycine Imine
No full textQuantum mechanical tunneling governs chemical reactivity at cryogenic temperatures. Here we present the near-infrared (NIR) light-induced generation of a higher energy conformer of glycine imine and its H-tunneling CO bond rotamerization in solid argon (Ar), para-hydrogen (p-H2), and dinitrogen (N2) at cryogenic temperatures. The tunneling half-life for the CO bond rotamerization highly depends on the host matrix and is approximately 5 h in Ar and 18 h in both p-H2 and N2. Surprisingly, experiments in p-H2 revealed a much longer half-life than in Ar, possibly due to the formation of a dinitrogen complex. Deuteration of the carboxylic acid group completely inhibits the CO bond D-tunneling rotamerization. We performed Wentzel−Kramers−Brillouin (WKB) and canonical variational transition state theory (CVT) calculations, incorporating multidimensional small curvature tunneling corrections (SCT), using the B3LYP/cc-pVTZ level of theory. The gas-phase tunneling half-life is 11 h according to the one-dimensional WKB model and 1 h according to the multidimensional CVT/SCT model, both aligning well with our experimental results.This dataset contains experimental data of IR and NMR spectra published in the manuscript "H-Tunneling Rotamerization in Glycine Imine".
Spectra labeled as 'Figure...' are presented in the appropriate figures in the main text or the Supporting Information (SI). Spectra without this caption were used solely for the assignment of different conformers of glycine imine and do not have corresponding figures.
All captions, except for NMR and ATR spectra, follow the structure: compound → IR region → matrix host → process. Here, 365, 282, and 254 nm, as well as OPO, indicate photolysis at the respective wavelengths, while 'tunneling' refers to a resulting spectrum recorded after hours in the dark without an IR filter
Supplementary Material of "Early and Late Buzzards: Comparing Different Approaches for Quantile-based Multiple Testing in Heavy-Tailed Wildlife Research Data"
No full textThis is the Supplementary Material of the paper Baumeister, M., Munko, M., Gladow, K.-P., Ditzhaus, M., Chakarov, N., & Pauly, M. (2025). Early and Late Buzzards: Comparing Different Approaches for Quantile-Based Multiple Testing in Heavy-Tailed Wildlife Research Data. Biometrical Journal, 67(4), e70065. https://doi.org/10.1002/bimj.70065
The R code for all simulation results and the data example, the analysed data and further supplementary material can be found here.
For running the R files, the working directory need to be set to the path of this unpacked folder
W. A. Mozart's 24 Thoroughbass Exercises for his Pupil, Thomas Attwood: A Pedagogical Edition
No full textThis is a pedagogical edition of W. A. Mozart's 24 thoroughbass exercises for his pupil, Thomas Attwood. Editorial text appears in square brackets. The files are given in PDF, Sibelius, and musicxml formats
Anhänge zur Dissertationsschrift: Respekt und Tanz
No full textAnhang A)_Abbildungen
Anhang C)_Komplexe Analyse
Anhang E)_Studie 1: Fragebogenstudie
Anhang G)_Studie 3: ExpertInnen Interviews
Read_me_Respekt und Tanz_MJ
Replication Data for: Mapping urban building material stocks to understand potentials for circular construction: A case study in Germany’s Ruhr area
No full textThe building sector is responsible for the accumulation of the largest material inventories in industrialised societies. Buildings embody temporal and spatial lock-ins concerning emissions, while representing a reservoir of secondary materials. Spatial material stock analysis is an instrument for comprehending the composition of building stocks and building material distribution to facilitate transition towards sustainable cities. Several studies have presented methods for quantifying material stocks in Germany. Building on these this study applies a bottom-up approach to analyse the building and material stock by integrating spatial data with information on 35 different building typologies and age-cohorts for residential building focussing on the Ruhr area in Germany. Building foundation area and material intensity coefficients were applied to estimate the building material stock. The methodology follows a computational approach using ArcGIS Pro and Python. This data publication contains the original data, derived input data, source code and result data on which the related publication is based on. The generated spatial high-resolution datasets, which is also provided in this replication data, provides a detailed basis that inform end-of-life material recovery strategies in the context of circular construction by establishing a link between primary material resources and projected flows of secondary resources.
All data was obtained or generated in 2024
Data associated with the publication "Temperature-dependent magnetocrystalline anisotropy of Fe2AlB2 single crystals"
No full textThis dataset was created to determine the temperature-dependence of the magnetocrystalline anisotropy constants of Fe2AlB. The dataset includes data from magnetometry and ferromagnetic resonance measurements on Fe2AlB2 single crystals. The dataset was produced experimentally and post-processed with Origin and Mathematica.
Methods
The magnetometry measurements were conducted using a custom-built insert for the VSM option of a Quantum Design PPMS-14T system. Temperature was monitored with a Cernox CX-1050-BC resistive temperature sensor. The ferromagnetic resonance measurements were conducted using a custom-built insert for a Quantum Design PPMS DynaCool system consisting of a coplanar waveguide (CPW) connected to two semi-rigid coaxial cables. The FMR microwave absorption was detected via a Keysight N5227B PNA vector network analyzer (VNA). Temperature was monitored with a Cernox CX-1050-SD.</p
Electronic supporting information to Galazzo et al. - Origin of the pH dependency of EPR parameters: The case of a protonatable nitroxide in aqueous solution
No full text(Dataset) Snapshots from AIMD simulations of 2,2,3,4,5,5-hexamethylimidazolidin-1-oxyl in its neutral (HMI) and protonated form (HMIH+) in water with corresponding calculated EPR parameters (g-tensor and 14N hyperfine coupling constant A) using the following solvation methods:
Vertically desolvated (VD) structures containing just HMI.
HMI with an explicit second solvation shell (SSS) taken from AIMD.
HMI with the explicit second solvation shell and an additional EC-RISM background (EC-RISM).
HMI with the explicit second solvation shell and an additional QM/MM backround (QM/MM).
For EC-RISM and QM/MM the point charges necessary to reproduce the EPR calculation are included.
Optimized structures and corresponding energies for diastereomers of HMIH+ that validate the simulated diastereomer as the main diastereomer of HMIH+ are included.
The dataset contains example inputs to reproduce all energy and EPR calculations
Useful Python Tools for Research Data Management
No full textA (growing) collection of useful python scripts to be used in context with Research data handling and dataset preparation:
foldersplitter.py:
A simple tool to compress folders into tar archives with a given total uncompressed file size. Supported compression algorithms: None, bzip2, gzip, xzip
Prerequisites: Python3, a POSIX compatible implementation of "tar"
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Replication Data for: "Bridging the Attitude-Behaviour Gap. An explanation of travel mode choice using analytical sociology"
No full textThe dataset contains a selection of raw, processed and aggregated survey data as supplementary material for the publication "Bridging the Attitude-Behaviour Gap. An explanation of travel mode choice using analytical sociology".
The data was collected in spring 2021 through a large-scale mobility survey among members of three major universities in the Ruhr district (Bochum, Dortmund and Duisburg-Essen). The survey was part of the InnaMoRuhr project ('Concept of an integrated, sustainable mobility for the University Alliance Ruhr'). A total of 10,782 students and employees participated in the survey.
The data includes both attitudinal and behavioural data (e.g. subjective expected utility of different modes of transport, and main mode of transport)