4926 research outputs found
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Evaluating Augmented Locomotion and Range of Reachable Objects for Older Adults in a Virtual Reality Exergame
No full textVirtual reality (VR) exergames are increasingly used to support user motivation and retention. Similarly, virtual augmentation---virtually adjusting players' abilities in virtual environments---of user abilities can elicit motivation and empowerment. However, research on augmented VR interaction with older adults is limited. We designed an exergame for older adults with augmented interaction, specifically augmented locomotion and augmented reachable range for object manipulation. In two user studies, we explored how augmentation affects player experience and performance with younger adults (aged 18--35 years, N=29) and older adults (aged 69--89 years, N=24), respectively. Our study with younger adults indicates that augmentation (primarily locomotion) significantly contributed to intrinsic motivation, physical activity enjoyment, and game performance without increasing cybersickness or diminishing physical activity. However, augmentation did not yield the same effects for older adults, and even decreased physical activity. Our work suggests exploration of different augmented interaction types and carefully considering age group differences when implementing augmented interaction in VR exergames
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.
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
MODIS Collection 6.1 sinusoidal tiles yearly Forest and Vegetation Cover Fraction Extension 02
No full textAbstract: Original forest cover fraction, vegetation cover fraction and fraction of non-vegetated area on 250m grid resolution sinusoidal grid were obtained in HDF file format from https://lpdaac.usgs.gov/mod44bv061/, read together with the bit-encoded quality information and converted into netCDF file format with latitude/longitude coordinates of every 250m x 250m pixel, and decoded quality flag information included (see https://www.cen.uni-hamburg.de/en/icdc/data/land/modis-vcf-forest.html).
TableOfContents: forest cover fraction; other vegetation cover fraction; non-vegetated land cover fraction; forest cover fraction standard deviation; quality flag
Technical Info: dimension: 4800 columns x 4800 rows x unlimited; temporalExtent_startDate: 2023-03-06; temporalExtent_endDate: 2024-03-04; temporalResolution: yearly; spatialResolution: 250; spatialResolutionUnit: meters; horizontalResolutionXdirection: 250; horizontalResolutionXdirectionUnit: meters; horizontalResolutionYdirection: 250; horizontalResolutionYdirectionUnit: meters; verticalResolution: none; verticalResolutionUnit: none; verticalStart: none; verticalEnd: none; instrumentName: MODerate Resolution Spectroradiometer (MODIS); instrumentType: visible_to_infrared_spectroradiometer; instrumentLocation: Earth Observation Satellite (EOS) Terra; instrumentProvider: NOAA/NASA
Methods: [1] https://lpdaac.usgs.gov/products/mod44bv061/; [2] Townshend, J., et al., User Guide for the MODIS Vegetation Continuous Fields product Collection 6.1, verison 1, https://lpdaac.usgs.gov/documents/1494/MOD44B_User_Guide_V61pdf; [3] Algorithm Theoretical Basis Document (ATBD), https://lpdaac.usgs.gov/documents/113/MOD44B_ATBD.pdf; [4] Carroll, M., et al., 2011. Vegetative Cover Conversion and Vegetation Continuous Fields. In: Ramachandran, B., C. O. Justice, and M. Abrams (eds.), Land Remote Sensing and Global Environment Change: NASA's Earth Observing System and the Science of ASTER and MODIS. Springer Verlag.; [5] Hansen, M., et al., 2005. Estimation of tree cover using MODIS data at global, continental and regional/local scales. Int. J. Rem. Sens., 26(19), 4359-4380.
Units: Units for all variables (see TableOfContents): percent; percent; percent; percent; 1
geoLocations: westBoundLongitude:depends on tile; eastBoundLongitude: depends on tile; southBoundLatitude: depends on tile; northBoundLatitude: depends on tile; geoLocationPlace: global on land, see: https://modis-land.gsfc.nasa.gov/MODLAND_grid.html
Size: files are packed into one zip-archive per year with an average size of about 25.6 GByte.
Format: netCDF
DataSources:
Original data on sinusoidal grid tiles in hdf-format: https://doi.org/10.5067/MODIS/MOD44B.061 (last accessed 2024-12-27), see also https://lpdaac.usgs.gov/products/mod44bv061/ (last accessed: 2024-12-27)
Contact: stefan.kern (at) uni-hamburg.de
Web page: https://www.cen.uni-hamburg.de/en/icdc/data/land/modis-vcf-forest.htm
An Interview About Kombo Silla (NCAC_RDD_TAPE_0225A_B)
No full textKombo Silla
Alternative names: Sillah, Janne
QCFD Project, Deliverable 7.1, Core flagship QCFD set - Nonlinear Schrodinger Equation
No full textA subset of the WP Flagship hardware calculations: Deliverable 7.1., in relation to the European Union's Horizon Europe research and innovation program (HORIZON-CL4-2021-DIGITAL-EMERGING-02-10) under grant agreement No. 101080085 QCFD (https://doi.org/10.3030/101080085). The dataset covers the computation of small academic examples, namely the Nonlinear Schrodinger equation simulations for different quantum computing platforms under different noise models provided, and on different IBM quantum devices, paving the way for future demonstrations
WWW-Archiv-Backup
No full textBackup des Webseiten-Archivs
Die hier abgelegten Archive sind eingepackte Kopien des WWW-Archivs des Zentrums für nachhaltiges Forschungsdatenmanagement. Beim WWW-Archiv handelt es sich um archivierte, statische HTML Seiten abgelaufener Projekte, vergangener Veranstaltungen oder universitärer Einrichtungen, die nicht länger gepflegt werden, deren Inhalte aber aus verschiedenen Gründen noch nützlich sind.
Die Webseiten und deren Unterseiten werden nicht weiter gepflegt, so dass Links auf Inhalte außerhalb der Seite möglicherweise nicht mehr funktionieren. Die Seiten und deren Unterseiten entsprechen nicht den aktuellen Standards zur Barrierefreiheit und sind nach heutigem Stand nicht vollständig, was Angaben zu Impressum, Datenschutzerklärung und Kontakt betrifft. Für diese Angaben ist die Übersichtsseite des Archivs heranzuziehen.
Eine Haftung für die Inhalte der kuratierten Seiten ist ausgeschlossen.
Folgende Seiten befinden sich im Archiv:
BIOGUM - Forschungsschwerpunkt Biotechnik, Gesellschaft und Umwelt (BIOGUM, geschlossen 2016)
DaZiel - Deutsch als Zielsprache: Zweisprachige Bildungsarbeit mit gehörlosen ArbeitnehmerInnen (2008)
DH2012 - Digital Humanities Conference 2012 (dh2012, archiviert 2022)
Disticha Catonis - Datenbank der deutschen Übersetzungen (2011)
GSCL 2011 - Jahrestagung der Gesellschaft für Sprachtechnologie und Computerlinguistik 2011
Hanselexikon.de - das Nachschlagewerk zur Hansegeschichte im Internet (Archiviert 2014)
ICN - Interdisciplinary Center for Narratology
isb6.org - The 6th International Symposium on Bilingualism (2007)
EIEW-Downloads - Downloads des Early Islamic Empire at Work-Projektes (2019)
Kampf um die Zukunft - Auflärungskampagne „Kampf um die Zukunft“ (2011)
LHN - the living handbook of narratology
LREC 2012 Workshop 'Best Practices for Speech Corpora in Linguistic Research'
MIMS - International Conference on Multilingual Individuals and Multilingual Societies
OR2019 - The 14th International Conference on Open Repositories (2019)
SFB 538 - Sonderforschungsbereich 538 "Mehrsprachigkeit" (2017
UHH Sea Ice Area Product
No full textAbstract: This data set comprises time series of the monthly sea-ice area (SIA) in the Northern Hemisphere (1 file) and in the Southern Hemisphere (1 file). SIA is derived from sea-ice concentration (SIC, also sea-ice area fraction) data of the following products: OSI SAF OSI-450a SIC climate data record / OSI-430a SIC interim climate data record, NOAA-NSIDC CDR, NASA-Team and Comiso-Bootstrap - all three from the NOAA/NSIDC SIC climate data record (version 4.0). The monthly SIA is either directly computed from monthly SIC data or is derived as the mean of all daily SIA values. If required, the observational gap at the pole is interpolated. If required, temporal interpolation is applied - both to fill temporal (up to a maximum of 7 consecutive days) and spatial (if less than 1000 non-contiguous missing grid cells per day) gaps.
Table of contents:
Northern Hemisphere: Comiso-Bootstrap monthly sea-ice area; NOAA-NSIDC CDR monthly sea-ice area; NASA-Team monthly sea-ice area; OSI SAF monthly sea-ice area
Southern Hemisphere: Comiso-Bootstrap monthly sea-ice area; NOAA-NSIDC CDR monthly sea-ice area; NASA-Team monthly sea-ice area; OSI SAF monthly sea-ice area
Technical Info: standard_name: sea-ice area; long_name: algorithm_specific hemispheric sea-ice area time-series; dimension: 2100; temporalExtent_startDate: 1850-01-01; temporalExtent_endDate: 2024-12-31; temporalResolution: monthly; spatialResolution: none; spatialResolutionUnit: none; horizontalResolutionXdirection: none; horizontalResolutionYdirection: none; verticalResolution: none; verticalResolutionUnit: none; verticalStart: none; verticalEnd: none; instrumentName: various SMMR SSM/I SSMIS; instrumentType: various multifrequency_microwave_radiometer; instrumentLocation: various Nimbus-7 DMSP-f8 DMSP-f11 DMSP-f13 DMSP-17; instrumentProvider: various
Methods: See description on https://www.cen.uni-hamburg.de/en/icdc/data/cryosphere/uhh-sea-ice-area-product.html
Units (all variables): 1e6 km2
geoLocations:
Northern Hemisphere: westBoundLongitude: -180.0 degrees East; eastBoundLongitude: 180.0 degrees East; southBoundLatitude: 35.0 degrees North; northBoundLatitude: 90.0 degrees North; geoLocationPlace: Northern Hemisphere
Southern Hemisphere: westBoundLongitude: -180.0 degrees east; eastBoundLongitude: 180.0 degrees East; southBoundLatitude: -90.0 degrees North; northBoundLatitude: -35.0 degrees North; geoLocationPlace: Southern Hemisphere
Size:
Northern Hemisphere: 1 file, 4 variables, 2100 elements each (latest month with valid data is element 2099)
Southern Hemisphere: 1 file, 4 variables, 2100 elements each (latest month with valid data is element 2099)
Format: netCDF
DataSources:
https://doi.org/10.15770/EUM_SAF_OSI_0013 [last accessed: 2025-01-17]
https://doi.org/10.15770/EUM_SAF_OSI_0014 [last accessed: 2025-01-17]
https://nsidc.org/data/g02202 [last accessed: 2025-04-16]
Contact: uhhsia.ifm (at) uni-hamburg.de
Web page: https://www.cen.uni-hamburg.de/en/icdc/data/cryosphere/uhh-sea-ice-area-product.htm
Extracellular enzyme kinetics and nutrient dynamics in a sandy soil amended with biochar and basanite
No full textThe data set (lab data, code,...) regarding my paper about enzyme kinetics in a sandy agricultural soil, amended with both biochar and basanite.
Paper title: Biochar dominated the combined effect of silicate rock powder and biochar application on extracellular enzyme kinetics and nutrient dynamics in a sandy soil
Stuck in the middle: Optimization of long-haul trucking with battery trailer support - instance data
No full textThe data set contains the instance data for the publication "Stuck in the middle: Optimization of long-haul trucking with battery trailer support"
The DLA-RMR dataset: Annotated subset of RMR notebooks for CVC development
No full textWhat’s new in this version: Some annotations were missing one of the visual attributes (orientation or writing implement). All missing attributes have been added in this version.
This dataset is structured into four components, each serving a distinct role in the development of a document analysis system.
Word-level annotations are provided in the file word_annotations_for_cropped_images.json. These annotations describe the images contained in the cropped_images folder. Each entry specifies the location of a word as a polygon, together with its orientation (horizontal, vertical, or tilted) and the type of writing implement used (ink or pencil). Additional metadata, such as bounding boxes and segmentation areas, is also included.
Cropped images are stored in the cropped_images folder. This set comprises 50 images, each containing only the primary page extracted from the corresponding full notebook scans.
Full images are located in the full_images folder. This collection also contains 50 items, representing the complete notebook scans in which the primary page appears alongside other material.
Page-level annotations are contained in the page_annotations folder. These are provided in YOLO format, with a single class (page) defined in classes.txt. Each annotation file specifies the bounding box of the primary page within the corresponding image in the full_images folder.
Examples illustrate the annotation structure. In the JSON file, a typical word annotation records polygon coordinates, the attribute "orientation": "horizontal", and "writing_tool": "pencil". In the YOLO annotations, a sample entry such as 0 0.499023 0.500776 0.777344 0.816912 denotes the normalised coordinates of the primary page bounding box.
Acknowledgement:
The research for this work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy - EXC 2176 ‘Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures’, project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg.
The images are taken from notebook pages of Rainer Maria Rilke, from the Deutsche Literaturarchiv Marbach (DLA), A:Rilke-Archiv Gernsbach.
We thank Hui Xu for her support in annotating the images