4926 research outputs found
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Atomistic simulation of classical spin dynamics
No full textTool which simulates the time evolution of classical magnetic spins represented by three dimensional vectors. It takes a two dimensional array of 3D vectors, where the position in the array represents the position on a discrete lattice, and iteratively solves the Landau-Lifshitz-Gilbert equation for each vector simultaneously. The parameters are read in from a text document, the input document. The model is based on a classical atomistic spin Hamiltonian consiting of Heisenberg exchange, DMI, external magnetic field, and crystal anisotropy. It only represents the square lattice as geometry.
The simulation software is written in C++ and also uses Cuda and the thrust library. It requires a GPU.
Uploaded in are two versions of the same program. One allows edge spin manipulation for injecting spin waves and uses HDF5 as data storage format. The other do not allow edge spin manipulation. However, it allows to define electric currents separated into sublattice currents. It allows, in addition to storing data via HDF5, data storage via binary files using a self-brewed storage format
Mixed Methods Data on Language Education for Newly Arrived Migrant Students in Turkey and Germany
No full textThis dataset contains qualitative and quantitative data from the doctoral dissertation “Learning the language of instruction in monolingual countries: A mixed methods comparative study on newly arrived migrant students in Turkey and Germany”.
It is available for reuse and reanalysis. Researchers are encouraged to explore the dataset to pose new questions and conduct further analyses from different perspectives.
The study investigated organization of destination language support for newly arrived migrant students in monolingual school contexts and explored contextual factors determining their language proficiency. Istanbul (IST) and Hamburg (HAM) were illustrative cases. Drawing on Bronfenbrenner’s ecological theory, the study focused on students in lower-secondary education through a four-phase mixed methods convergent comparative design.
Qualitative Data
The qualitative data includes:
Interviews with students (n = 22 IST, n = 6 HAM), teachers (n = 15 IST, n = 6 HAM), school administrators (n = 10 IST), parents (n = 6 IST, n = 3 HAM), and key informants (n = 2 IST, n = 7 HAM).
Classroom observation notes from the language preparatory classes, which covers 21 hours in Istanbul and 12 hours in Hamburg.
Interview languages include Turkish, German, and English, depending on the participant group. Classroom observation notes are in Turkish.
Quantitative Data
The quantitative dataset consists of:
Survey data from 245 Syrian refugee students in Istanbul and 189 newly arrived migrant students (mixed-migrant group) in Hamburg
Variables on:
Destination language proficiency (self-assessed Turkish/German skills)
Migration-related individual characteristics (e.g., age at migration, length of stay, prior schooling, first language proficiency)
Family environment (e.g., family language proficiency in Turkish/German, family involvement in education)
Classroom learning environment
Descriptive information (e.g., gender, age, district)
Dataset Files
The dataset includes:
Raw qualitative and quantitative data files
Interview schedules and classroom observation protocols
Participant characteristics for interviews
Documentation of quantitative variables
Access and Further Information
For detailed information on data collection, validation, and research design, please refer to the Method chapter of the open-access dissertation available in the Middle East Technical University Repository.
This space will be regularly updated with relevant publications based on this dataset
The PHOENIX/1D NewEra model atmosphere grid: Access software & GAIA DR4 synthetic spectra/colors
No full textSoftware to access NewEra spectrum files (DOI 10.25592/uhhfdm.16727) from python and an example reader.
get_NewEra_from_FDR.py get a single model from the data repository.
example_read_HSR_H5.py reads data from a single model h5 file.
example_read_structure_from_HSR_H5.py reads and parses model structure data (radii, temperatures etc.)
list_of_available_NewEra_models.txt is a list of all available models, MD checksums, file sizes and download links.
NewEra_for_GAIA_DR4.tar Synthetic spectra, colors and BCs in GAIA DR4 format as tar file, includes Readme
Udmurt dialectal dataset: discourse particles and other clitics
No full textThis is a dataset that contains sentences in various dialects of Udmurt (Permic < Uralic; ISO 639-3 code udm). It mainly contains questionnaire responses collected for the research of the variation in the mutual order of Udmurt clitics in clitic clusters, annotated for clitic order.
This data was collected in 2021-2023 by Timofey Arkhangelskiy. Most responses were collected in the Estonian Udmurt community (Tallinn and Tartu) in 2022. Some were collected in Tatarstan and Bashkortostan (Russia) in 2021 or in Estonia in 2023. Several sentences were taken from transcripts of dialectal texts or produced by consultants without any prompt. Data collection, annotation and publishing were supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) grant — project no. 428175960.
Before proceeding to the dataset, please keep in mind:
Although I provide the questionnaire stimuli, the responses do not always contain their exact translations. Sometimes consultants forgot what exactly they were supposed to translate, added something to their translation, or translated only a part of the stimulus. It was not my goal for the translations to be close to the original. Therefore the stimulus and the response should not be treated as translation pairs.
The speakers were instructed to make translations in their own dialect rather than in the standard language. My transcriptions of their oral responses reflect all dialectal features and deviate from the standard language (sometimes significantly).
As a consequence:
If you want to use this dataset for its original purpose, you can just take the annotation and do not look at the actual examples. If you need it for anything beyond that purpose, you will only be able to do so if you have a reasonable command of Udmurt. There are English translations of the stimuli, but you should not rely on them alone.
DO NOT USE THIS DATASET FOR TRAINING MACHINE TRANSLATION OR UDMURT LANGUAGE MODELS!
The dataset has a TSV format (tab-delimited values). Please refer to readme.txt for further information.
If you have any questions or require help with processing the data, please feel free to contact Timofey Arkhangelskiy: [email protected]
Spoken corpus of Udmurt dialects
No full textThis deposit contains transcriptions of oral interviews and conversations in various dialects of Udmurt (Permic < Uralic; ISO 639-2 code udm). It contains 25 recordings with transcripts with a total of 93.6 thousand words.
Description of the contents
The contents are as follows:
eaf (directory as ZIP archive): sound files and their transcripts in ELAN
metadata_texts.csv: tab-delimited metadata for the transcriptions
metadata_speakers.csv: tab-delimited metadata for speakers
readme.txt: documentation
Transcriptions
All sound recordings are in WAV format, although some of them were originally recorded in a format with compression (see metadata). Transcriptions are stored in ELAN files. Each ELAN file is linked to one recording. The transcriptions were not thoroughly proofread and may contain mistakes. Please listen to the relevant segments to make sure their transcription is accurate. See readme.txt for further details.
Metadata
The transcript-level metadata are:
filename (without the extension);
code of the collector (TA: Timofey Arkhangelskiy; NA: Nikolai Anisimov; YZ: Iuliia Zubova);
name of the place where recording was made (in Russian);
original format of the recording (wav/wma/mp3);
genre;
date of the recording.
The speaker-level metadata are:
code of the speaker;
speaker type: native vs. (non-native) linguist;
sex (F/M);
year of birth (when known);
variety of Udmurt they represent; usually this is the settlement where the speaker was born or spent their formative years.
The recordings were transcribed by Tatiana Anisimova and Nikolai Anisimov. Sound-alignment was performed by Timofey Arkhangelskiy and Marina Pankova.
References
ELAN (Version 6.9) [Computer software]. (2024). Nijmegen: Max Planck Institute for Psycholinguistics, The Language Archive. Retrieved from https://archive.mpi.nl/tla/elan
Contact
If you have any questions or would like to propose a collaboration, please email Timofey Arkhangelskiy at [email protected]
The Influence of Global Crises on Acceptance of Autocracy in Germany. Paper presented at the 82nd Annual Conference of the Midwest Political Science Association, Chicago (IL), April 3rd, 2025.
No full textThis paper investigates how global conflicts and crises influence public attitudes toward democracy in Germany, particularly fears related to war, climate change, and migration.
As part of the study "People in Germany: International", online surveys are conducted every two to three months. Our data tracks how perceptions of societal challenges and associated concerns shape attitudes toward democracy over time.
A new measurement is used to gauge acceptance of autocracy, defined by the rejection of democratic norms like open debate and parliamentary oversight, and support for more authoritarian leadership.
Results indicate that about 30% of the German population exhibits some level of autocracy acceptance, with variations across political affiliations—from 14.8% among Green Party voters to 50.1% among AfD (a far right party) supporters.
Acceptance of autocracy is not confined to right-wing or lower-educated groups but spans various social demographics.
Concerns over access to necessities—housing, energy, work, and food—aggravated by fears of war, climate change, or migration, increase the likelihood of supporting autocracy.
Those who view political leaders as incompetent are even more inclined toward authoritarian preferences.
Finally, we present results from vignette experiments which are used to assess whether experimentally manipulated perceptions of military conflicts, such as the Russian war in Ukraine or the Israeli-Palestinian conflict, have a causal effect on autocracy acceptance among respondents
The Gospel of Luke and its Parallels (on the Basis of the Eusebian Canons)
No full textThe Gospel of Luke and its Parallels (on the Basis of the Eusebian Canons
An Interview About The History of The Maane Clan in Berefet (NCAC_RDD_TAPE_0226B)
No full textno audio available
Berefet
Maane clan
Alternative names: Manneh, Sanyang, Son
METADATA: Population dynamics and production of Eurytemora affinis in the Elbe estuary
No full textMeta data for the thesis chapter "Population dynamics and production of Eurytemora affinis in the Elbe estuary"
An Interview About The History of Kachically in Bakau (NCAC_RDD_TAPE_0239A)
No full textno audio available
Katchically
Alternative names: Janne