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Global Bias-Corrected CORDEX Datasets at Quarter Degree Resolution
No full textAbstract: This dataset provides globally consistent, bias-corrected climate data at 0.25° grid resolution, consisting of a set of five climate variables derived from four General Circulation Models (GCMs) participating in CMIP5 downscaled by 4 CORDEX Regional Climate Model (RCM) simulations and bias-corrected globally for the period 1979–2099 for 7 to 10 CORDEX domains. It includes data from two climate change scenarios, namely RCP2.6 and RCP8.5. The CMIP5 GCMs are: MOHC-HadGEM2-ES, MPI-M-MPI-ESM-LR and MR, and NCC-NorESM1-M. Available here are netCDF files per run, GCM and variable (see Size for the overall sum per GCM).
TableOfContents: daily mean 2m-air temperature (tas); daily minimum 2m-air temperature (tasmin), daily maximum 2m-air temperature (tasmax); daily sum of precipitation (pr); daily mean surface downwelling shortwave radiation (rsds)
TechnicalInfo: dimension: 1440 columns x 720 rows; temporalExtent_startDate_Historlcal: 1979-01-01 00:00:00; temporalExtent_endDate_Historical: 2005-12-31 23:59:59; temporalDuration_Historical: 27; temporalDurationUnit_Historical: a; temporalExtent_startDate_RCPs: 2006-01-01 00:00:00; temporalExtent_endDate_RCPs: 2099-12-31 23:59:59; temporalDuration_RCPs: 94; temporalDurationUnit_RCPs: a; temporalResolution: 1; temporalResolutionUnit: d; spatialResolution: 0.25; spatialResolutionUnit: degree; horizontalResolutionXdirection: 0.25; horizontalResolutionXdirectionUnit: degree; horizontalResolutionYdirection: 0.25; horizontalResolutionYdirectionUnit: degree; verticalResolution: none; verticalResolutionUnit: none
Methods: The ISIMIP3BASD v2.5 bias correction method (see Lange [2019; 2021]) was applied to adjust systematic biases while preserving the climate change signals. This parametric quantile mapping approach:
• Corrects biases across all percentiles of variable distributions
• Preserves trends in these percentiles
• Applies variable-specific treatments (e.g., handling drizzle issues for precipitation)
• Maintains physical relationships between variables (particularly for temperature variables)
using the CHELSA-W5E5 observational reference dataset. The regional climate models (RCMs) used are: (listed are Institution/working group; RCM Models; Driving GCMs):
Climate Service Center Germany (GERICS), Hamburg, Germany; REMO2015 v1; MPI-ESM-LR and NCC-NorESM1-M and MOHC-HadGEM2-ES
Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy; RegCM4-4 v0 and RegCM4-7 v0; MPI-ESM-MR
Centre pour l’Étude et la Simulation du Climat à l’Échelle Régionale (ESCER), Université du Québec à Montréal, Canada; CRCM5 v1; MPI-ESM-MR
The historical runs begin 1979-01-01 and end 2005-12-31. All projection runs begin 2006-01-01 and end 2099-12-31.
The routines (python) used to create and work with the data sets are available from this web page as well: Discontinuity_Analyses_GloBCORD-QD.py
Quality: Not all of the domains have been downscaled by CORDEX RCMs. Therefore, data files for MPI-M-MPI-ESM-MR only contain 8 (rcp26: 7) CORDEX domains; all other files contain 10 domains (see also https://cordex.org/domains/cordex-domain-description/)
Units: K; K; K; kg m-2 s-1; W m-2
GeoLocation: westBoundCoordinate: -165.0; westBoundCoordinateUnit: degrees East; eastBoundCoordinate: 179.0; eastBoundCoordinateUnit: degrees East; southBoundCoordinate: -55.0; southBoundCoordinateUnit: degrees North; northBoundCoordinate: 76.0; northBoundCoordinateUnit: degrees North
Size: MOHC-HadGEM2-ES: 280.3 GByte, MPI-M-MPI-ESM-LR: 271.0 GByte, MPI-M-MPI-ESM-MR: 214.3GByte, NCC-NorESM1-M: 280.4 GByte
Format: netCDF
DataSources: See the file "GloBCORD-QD_Description.pdf"
Contact: fuseini.yakubu (at) uni-hamburg.de; shabeh.hasson (at) uni-hamburg.de
Webpage: https://www.geo.uni-hamburg.de/geographie/abteilungen/physische-geographie/arbeitsgruppen/ag-hareme.htm
Poster for "Making Sign Language Research Findable: The sign-lang@LREC Anthology and the Sign Language Dataset Compendium"
No full textThis is the conference poster for the publication "Making Sign Language Research Findable: The sign-lang@LREC Anthology and the Sign Language Dataset Compendium", presented at the 5th Conference on Language, Data and Knowledge (LDK 2025)
Figure data for publication "High order strong-coupling expansion for X-ray absorption on a dynamically screened impurity"
No full textThese datasets contain simulation data which are shown in Fig.s (5)-(9) in the publication mentioned above.
The publication can be found here
DGS-Korpus SessionDirector elicitation materials
No full textElicitation materials for DGS-Korpus data collections. All materials are contained in a Keynote presentation file, used as part of SessionDirector during recording sessions. Backwards compatible with all previous recording sessions
Design principles for social action encompassing cultural and linguistic diversity
No full textThis document presents the foundational principles outlined for service-learning in higher education following the BOLD round tables and questionnaires. These guidelines provide a framework for integrating service-learning initiatives that not only enrich academic experiences but also actively engage with diverse linguistic and cultural backgrounds
The Albanian Palimpsests of Mt Sinai
No full textThe Albanian Palimpsests of Mt Sinai: Reconstruction of the Original Code
Locative and existential predication in languages of the Ob-Yenisey area: dataset
No full textDataset on Locative and Existential Predication
This dataset provides a comprehensive collection of annotated linguistic data on locative, existential, and possessive predication across various languages. Developed within the research project "Lokative und existentiale Prädikation in Sprachen des Ob-Jenissei-Areals: Typologie und
Informationsstruktur" (07/2022-06/2025, 490822200), the dataset includes digital corpora from 16 Siberian languages, enabling typological and pragmatic analysis.
Key features of the dataset include:
Corpus-based annotation of existential, locative, and possessive clauses
Detailed linguistic categorization, including morphosyntactic structures and information status
Multi-layer annotation using XML-based EXMARaLDA framework
Statistical analysis-ready data, structured in SPSS format
Languages covered in the dataset:
Uralic languages: Khanty, Mansi, Nenets, Enets, Nganasan, Selkup, Kamas
Turkic languages: Dolgan, Sakha, Chulym Turkic, Khakas
Tungusic languages: Evenki, Even
Yeniseian languages: Ket, Yugh
Yukaghi
Old Testament Quotations in the New Testament (by Old Testament Books)
No full textOld Testament Quotations in the New Testament (by Old Testament Books
Data to publication regarding spin wave driven antiferromagnetic skyrmions
No full textSimulation data for antiferromagnetic skyrmions driven by spin waves. This includes the data from which the figures in Ref. [1] are constructed.
[1] M. Lau, W. Hausler, and M. Thorwart, Spin wave driven skyrmions in a bipartite antiferromagnetic lattice, Phys. Rev. B 109, 014435 (2024)
Response: "The Pseudo-Epiphanian Homily Ի Թաղումն Տեառն and Its Relationship with the Greek Original: The Resilience of a Disrupted Text?" by Lorenzo Colombo, and "The Armenian Acts of Thomas: Textual Transmission and Fluidity" by Mari Mamyam
No full textResponse: “The Pseudo-Epiphanian Homily Ի Թաղումն Տեառն and Its Relationship with the Greek Original: The Resilience of a Disrupted Text?” by Lorenzo Colombo, and “The Armenian Acts of Thomas: Textual Transmission and Fluidity” by Mari Mamyam, graduate and early career international workshop Armenian & Byzantium V, University of Oxford