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Beserman multimedia corpus (sound/video)
No full textBeserman multimedia corpus
This deposit contains monologues and conversations in spoken Beserman (formerly classified as a dialect of Udmurt, ISO 639-2 code udm). It contains recordings (audio and video) for 276 recording sessions, archived in a tar.gz format. The transcripts and metadata are published as a separate deposit: https://doi.org/10.25592/uhhfdm.16991 . For more details, see README.md in that deposit. The online version of this corpus, which is updated regularly, can be found at https://beserman.web-corpora.net/index_en.html.
These recordings (audio or video) are stored separately from the transcripts because they have a stricter access policy due to privacy concerns. After you download the transcripts, you can download the recordings and extract them in a directory called sound, which should be located under the same path as the eaf directory with the transcripts. This way, ELAN will be able to open the media files.
Beserman language
The language spoken by the Besermans belongs to the Permic branch of Uralic languages. It is spoken by about 2000 people, who live mainly in the northwest of Udmurtia. Unfortunately, the number of speakers is rapidly decreasing, as the transmission of the language to the younger generation stopped completely between 2000 and 2005.
Beserman has traditionally been regarded as a supradialect (dialectal group, narechiye) of the Udmurt language (as well as the only dialect within this dialect). The linguistic difference between Beserman and Udmurt is small, especially if Beserman is compared to the Northern Udmurt dialects. Nevertheless, the Besermans distinguish their language from Udmurt and consider it an important factor of national identity. Beserman is de facto recognized in Udmurtia as a language different from Udmurt. The Day of Beserman language and writing is celebrated in Udmurtia on October 21. There is no official Beserman orthography at the moment. Those who write in Beserman use slightly different spellings, generally based on the Udmurt Cyrillic script. So far, two books have been published in Beserman: Vortčʼa madʼjos (by Vyacheslav Ar-Sergi and Rafail Dyukin) and Pičʼi princ (The Little Prince by Antoine de Saint-Exupéry, translated by Rafail Dyukin).
Contact
If you have any questions, would like to propose a collaboration, or have noticed an error in the corpus, please email Timofey Arkhangelskiy at [email protected].
References
ELAN (Version 6.9) [Computer software]. (2024). Nijmegen: Max Planck Institute for Psycholinguistics, The Language Archive. Retrieved from https://archive.mpi.nl/tla/ela
Meteorological network observations by MESSI weather stations during FESSTVaL 2021
No full textAbstract: The data set contains meteorological data from a citizen science network that was part of the Field Experiment on Sub-mesoscale Spatio-Temporal Variability in Lindenberg (FESSTVaL) from May to September 2021. The network consists of 56 stations that were mostly set up in gardens of citizen participants of the project around the Meteorological Observatory Lindenberg - Richard-Aßmann-Observatory (MOL-RAO eastern Germany; 52.16°N, 14.12°E). A map of the positions of the stations can be found in this report. One of the goals was to investigate to what extent a data set gathered from a citizen science network can add value in addition to the network of the MOL-RAO and professional networks in general. The main subjects of investigation were sub-mesoscale structures such as cold pools. The 56 stations were equipped with devices called MESSI = "Mein Eigenes SubSkalen Instrument", which is a low-cost, autonomous device planned and built at Freie Universität Berlin for the use case of building meteorological Citizen Science networks. The data set comprises level-1 data, measured every 10 seconds, and level-2 data for which the level-1 data were aggregated to 1-minute time periods.
TableOfContents: Air temperature inside device; Air temperature outside device; Air temperature derived from statistical model; Surface air pressure at station level; Surface downwelling illuminance
Technical Info: dimension: level-1: 8640 x 56, level-2: 1440 x 56; temporalExtent_startDate: 2021-06-10 00:00:10; temporalExtent_endDate: 2021-10-01 00:00:00; temporalResolution: level-1: 10, level-2: 60; temporalResolutionUnit: seconds; spatialResolution: none; spatialResolutionUnit: none; horizontalResolutionXdirection: none; horizontalResolutionXdirectionUnit: none; horizontalResolutionYdirection: none; horizontalResolutionYdirectionUnit: none; verticalResolution: none; verticalResolutionUnit: meters; horizontalStart: 0; horizontalStartUnit: meters; horizontalEnd: 0; horizontalEndUnit: meters; instrumentNames: PT1000 Heraeus M222 ADS114SOxB, BMP38x, Si1151/1145; instrumentType: Resistive temperature sensor, pressure sensor, illuminance sensor; instrumentLocation: Grenzschichtmessfeld Falkenberg, Lindenberg; instrumentProvider: Texas Instruments, Bosch Sensortec, Silicon Labs
Methods: The MESSI measures air temperature, air pressure, surface downwelling illuminance and humidity (humidity data is not being published due to issues with the respective sensor during the campaign). The original time resolution is 10 seconds. As a part of the data processing a statistical model was used to establish a relation to a reference station and use this to adjust the measurements such that bias and conditional bias with respect to a DWD reference is reduced. For this processing step we used reference data of a 1-minute resolution from a ventilated station at MOL-RAO provided by Deutscher Wetterdienst (DWD, no final quality control applied) and similarly aggregated observation data of one particular MESSI position next to the DWD device. Subsequently, this model was applied to all MESSI data to get more accurate values for the air temperature than measured directly. Because the script for quality control and statistical modelling has been optimized for the 1-minute time resolution data it can be assumed that these are more accurate - especially the 3rd temperature quantity: "Air temperature derived from statistical model".
As another step of preprocessing several quality controls were applied. All measurements that did not pass these quality controls have been excluded from the dataset (values set to missing values).
The MESSI device and data processing including the statistical modelling and the applied quality controls is described in more detail in
[http://dx.doi.org/10.17169/refubium-42772].
Quality: Absolute accuracy according to manufacturers of sensors is for the air temperature inside and outside device::+/- 0.15 K and for the surface air pressure at station level: +/- 50 Pa. The actual accuracy is probably lower due to assembly of the devices by the participants and other factors. In the modelling procces a root-mean-square-error of 0.64 K was estimated when comparing the value of the variable "air temperature inside device" of the MESSI with the reference sensor.
The total data availability is 53%. This is because of the filters mentioned above, failures in data transfer (see below) and mainly the fact that measurements started and ended at different times for the different stations. Best data availability is given in July and August (72% and 73%).
At some stations the MESSI had to be exchanged during the campaign due to technical issues. In some cases it can not be guaranteed that
the device was measuring at the respective station position (possible untracked movement of device by citizen participant).
The MESSIs did send their GPS-position to the MESSI database via "LoRaWan" and the "The Things Network" once per day. But in some cases
this data transfer failed, leading to some uncertainty of the station position. These and other information can be found in fesstval_messi_station_list.csv
Units: K; K; K; Pa; lux
geoLocations:
BoundingBox: westBoundLongitude: 13° 43' 28.56'' East; eastBoundLongitude: 14° 25' 59.519'' East; southBoundLatitude: 52° 5' 31.2'' North; northBoundLatitude: 52° 18' 4.68'' North; geoLocationPlace: Germany, UTM zone 33U
Locations: 56 station locations within BoundingBox (see fesstval_messi_station_list.csv); lowerBoundAltitude: 38 meter above MSL; upperBoundAltitude: 98 meter above MSL
Size: Daily files for each quantity provided as one packed tar-archive for either level-1 or level-2 data; total volume level-1 data: 1.23 Gb; total volume level-2 data: 0.37 Gb; total volume of the packed files is about 1/5 of that.
Format: netCDF
DataSources: Multiple site near-surface observations (see fesstval_messi_station_list.csv)
Contact: henning.rust (at) fu-berlin.de
Web page: https://www.cen.uni-hamburg.de/en/icdc/data/atmosphere/samd-st-datasets/samd-st-fesstval/fval-fub-messi.html
see also: https://www.cen.uni-hamburg.de/en/icdc/research/samd/observational-data/short-term-observations/fesstval.htm
Gender als politisches Cleavage? Der Einfluss männlicher Bedrohungsgefühle auf die Wahlabsicht junger Menschen im linken und rechten Spektrum
No full textMänner wählen häufiger rechtsautoritäre Parteien als Frauen, ein Phänomen, das als „Radical Right Gender Gap“ (RRGG) bekannt ist. In der Forschung wird Geschlechterperspektiven jedoch wenig Beachtung geschenkt. Maskulistische Erzählungen verknüpfen antifeministische und autoritäre Haltungen und sprechen gezielt (junge) Männer an, indem sie kulturelle Veränderungen als Bedrohung darstellen. Diese Bedrohungsgefühle können von politischen Akteuren genutzt werden. Während rechtsautoritäre Parteien wie die AfD eine männliche Identitätspolitik verfolgen, richten sich links-progressive Parteien wie die Grünen meist an Frauen und sexuelle Minderheiten. Die Unterschiede im Wahlverhalten junger Männer und Frauen deuten auf eine wachsende Kluft hin. Der Vortrag basiert auf Daten der Studie „JuMiD 2024“ und untersucht, wie Bedrohungsgefühle das Wahlverhalten junger Menschen im linken und rechten Spektrum beeinflussen
The Greek and the Caucasian Alphabets (manuscripts)
No full textThe Greek and the Caucasian Alphabets (manuscripts
Effects of violence by Israeli Defence Forces (IDF) against Palestinian civilians on attitudes towards anti-Semitic protest behavior among people in Germany: Results of two survey experiments conducted before and after October 7th 2023. Paper presented at the 82nd Annual Conference of the Midwest Political Science Association, Chicago (IL), April 5th, 2025.
No full textTo assess the potential impact of international developments on public attitudes in Germany, we regularly conduct survey experiments. These experiments are embedded in the representative Survey „Menschen in Deutschland International“ („People in Germany: International) which is conducted bimonthly since November 2022. One important issue are effects of the ongoing military conflict in the Middle East on political attitudes and protest behavior among people living in Germany. At present increases of the prevalence of anti-Semitic prejudice as well as an increase of violence against jewish people and jewish institution are a heavily debated social and political Problem in Germany.
In an initial survey experiment conducted in May 2023 we examined the impact of reports on the use of armed force against Palestinian civilians in the West Bank on antisemitic and anti-Israel protest behavior in Germany. In this experiment, we systematically varied whether the violence described in the scenarios was perpetrated by the Israeli military or by Jewish settlers. We found that violence committed by the Israeli military significantly increased acceptance of antisemitic protest behavior. However, this effect was almost exclusively observed among individuals who already exhibited traditional antisemitic prejudices. No effects were observed for identical violence carried out by Jewish settlers.
In a follow-up study conducted in September 2024, we replicated and expanded this experiment. The new study aimed to examine 1) whether the effects observed in May 2023 were still present in 2024, following Hamas' attack on Israel, 2) whether these findings were region-specific or applicable to attacks by the Israeli military in the West Bank, Gaza Strip, and southern Lebanon, and 3) whether the moderating effect of traditional antisemitic prejudices could also be observed for pre-existing Israel-related antisemitic attitudes
Brassica_napus_Phloem_RNAseq_non-coding
No full textRaw sequencing data of Brassica napus from lnc-RNAseq library, small RNAseq library and a circRNA enriched RNAseq library. All libraries were prepared and sequenced by Novogene
Final report—Public part. Contact-induced language change in situations of non-stable bilingualism—its limits and modelling: Slavic (social) dialects in Albania
No full textThis is a final report for a DFG-supported project. This project aimed to model language contact outcomes using the methods of statistical language research, social dialectology, as well as territorial dialectology in situations of unstable bilingualism among Slavic language varieties that show different degrees of structural affinity to the dominant language, that is, Albanian. Three of the Slavic varieties in question are part of the Balkan sprachbund and are therefore structurally closer to Albanian. Additionally, two Štokavian (non-Balkan Slavic) migrational dialects in Albania were researched. The focus was on identifying contact-induced features that would indicate a structural alignment of the varieties under investigation with either the Balkan sprachbund in general or Albanian in particular, with an investigation of how various sociolinguistic parameters in the linguistic biographies of the speakers and the initial structural affinity to the Balkan sprachbund were relevant to the outcomes of the respective contact. This is the first study of Slavic dialects in Albania and one of the few studies of Slavic dialects in general that focuses on their vertical or social continuity—that is, from the more conservative to the more innovative and contact-influenced sociolinguistic groups.
Their contacts with Albanian and other Balkan languages have led to quantitative and qualitative changes in the studied dialects that have been unevenly distributed across speakers due to a number of sociolinguistic factors. In situations where there was variation in the dialect before the contact, contact supported the structures that showed higher structural affinity to the Balkan sprachbund (e.g., the use of subjunctives instead of infinitives). It also led to the grammaticalization of forms not formerly attested in the varieties (e.g., in Štokavian: future marking with the petrified copula and article-like uses of the demonstrative pronouns; in Balkan Slavic, grammaticalization of the progressive aspect through various matter and pattern borrowings from Albanian).
The main instrument that was created during the project is the Corpus of Slavic Dialects in Albania (~600,000 word forms), which also serves language documentation functions, which is especially relevant as one of the dialects went extinct during the project, so the Corpus documents the speech of its last speakers. The Corpus has been made available online. Part of the data included in the Corpus are narratives on the traditional culture and oral history of the respective communities that should be of interest to not only the researchers, but members of the communities, language activists, and the general public.
Another instrument created during the project is a dataset focusing on Balkan and South Slavic causativity marking in the minority dialects of Albania, which moreover collects quantitative data for the first time regarding one of the least-researched Balkanisms, the so-called labile or ambitransitive verbs
Full metadata for Jerusalem guestbook of Miryam and Moshe Ya'akov Ben-Gavriêl (1927-1966)
No full textThe dataset contains all metadata collected and created in the context of a digital edition of the Jerusalem guestbook (1927-1966) of Miryam and Moshe Ya'akov Ben-Gavriêl, kept at the National Library of Israel, call no. ARC. Ms. Var. 365 1 11. The Excel file contains two spreadsheets: "entries" contains information on almost 1,200 individual entries in the guestbook and "visitors" contains information on the visitors that have been identified by name.
More information on the guestbook and direct access to the exploration environment can be found at https://csmc.demo.hcds.uni-hamburg.de/ The digital edition is part of the research project RFE22 "A Fresh Look. Visualising Digitised German-Jewish Archives" at the Cluster of Excellence Understanding Written Artefacts (UWA) and has been realized in close cooperation with the Hub of Computing and Data Science (HCDS)
Landsat surface type over water from supervised classification of surface broadband albedo estimates - Part II
No full textAbstract: In the framework of the European Space Agency (ESA) Climate Change Initiative Phase 2 (CCI+) sea ice essential climate variable (ECV) project (SICCI) [Climate Change Initiative Sea_Ice_cci_Project] a suite of Landsat images of both hemispheres were used to evaluate sea-ice concentration (SIC) products based on satellite microwave radiometry. First, surface broadband albedo values were estimated based on channels 3,4,5 of the Landsat-8 OLI sensor. Secondly, a supervised classification was employed, classifying the broadband albedo maps into open water, thin/bare ice and thick/snow-covered ice. Thresholds used for the classification are less or equal than 0.07 and greater or than 0.4 for the open water / thin ice and thin ice / thick ice transition, respectively. Metadata files are given for both hemispheres including the sun zenith angle of the Landsat-8 OLI image and the two thresholds used. Resulting maps have been quality checked for artifacts due to cloudy pixels and double scenes. Note that there might a few maps with a slight overlap from two adjacent Landsat images.
TableOfContents: surface type flag (0: open water, 1: thin or bare sea ice, 2: thick or snow-covered ice, 127: missing data or clouds)
Technical Info: dimensions: nominal: 6166 columns x 6000 rows x unlimited; dimensions actual: variable, depends on how the Landsat scene fits into a rectangular bounding box determined by the minimum and maximum values of latitude and longitude of each scene; temporalExtent_startDate: 2019-01-01; temporalExtent_endDate: 2020-12-31; temporalResolution: ~28 s / image; spatialResolution: 30; spatialResolutionUnit: meters; horizontalResolutionXdirection: 30; horizontalResolutionXdirectionUnit: meters; horizontalResolutionYdirection: 30; horizontalResolutionYdirectionUnit: meters; verticalResolution: none; verticalResolutionUnit: none; verticalStart: none; verticalEnd: none; instrumentName: Landsat-8: Operational Land Imager (OLI); instrumentType: optical sensor; instrumentLocation: Landsat-8; instrumentProvider: NASA
Methods: [1] http://esa-cci.nersc.no/?q=documents#/Public/Documents from phase 2/D4.1_SICCI_P2_PVIR-SIC_Issue_1.1.pdf; [2] Knap, W. H., Brock, B. W., Oerlemans, J., and Willis, I. C.: Comparison of Landsat TM-derived and ground-based albedos of Haut Glacier d Arolla, Switzerland. Int. J. Rem. Sens., 20(17), 3293-3310, 1999; [3] Koepke, P., Removal of Atmospheric Effects from AVHRR albedos, J. Appl. Meteorol., 28, 1341-1348, 1989; [4] Barsi, J. A., Kenton, L., Kvaran, G., Markham, B. L., and Pedelty, J. A.: The spectral response of the Landsat-8 operational land imager. Rem. Sens., 6(10), 10232-10251, https://doi.org/10.3390/rs61010232, 2014; [5] Zatko, M. C., and Warren, S. G.: East Antarctic sea ice in spring: spectral albedo of snow, nilas, frost flowers and slush, and light-absorbing impurities in snow. Ann. Glaciol., 56(69), 53-64, https://doi.org/10.3189/2015AoG69A574, 2015.
Units: 1
geoLocations:
Northern Hemisphere: westBoundLongitude: -180.0 degrees East; eastBoundLongitude: 180.0 degrees East; southBoundLatitude: 50.0 degrees North; northBoundLatitude: 90.0 degrees North; geoLocationPlace: Northern Hemisphere over water
Southern Hemisphere: westBoundLongitude: -180.0 degrees East; eastBoundLongitude: 180.0 degrees East; southBoundLatitude: -80.0 degrees North; northBoundLatitude: -60.0 degrees North; geoLocationPlace: Southern Hemisphere over water
Size: (files are packed into one zip-file per year for the Northern Hemisphere and into one zip-file per month for the Southern Hemisphere)
Northern Hemisphere: 80 files in total; about 67 Gbyte (zipped: 27.6 Gbyte) in total
Southern Hemisphere: 209 files in total; about 167 Gbyte (zipped: 75.1 Gbyte) in total
Format: netCDF
DataSources: https://earthexplorer.usgs.gov/ [last access: 2025-09-09]
Contact: stefan.kern (at) uni-hamburg.d
LEO PIAAC 2023 - Level One im deutschsprachigen Raum
No full textLevel One Study based on the PIAAC 2023 dataset