Yoda Data Publication Platform of Utrecht University
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632 research outputs found
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Ethnographic data
No full textEthnographic data on the development and implementation of software for telenursing in the Netherlands - following members of a tech startu
Ethnolinguistic Vitality of the Syriac Language in Syria
No full textThe data package contains transcripts of interviews conducted in Syria in February and March in 2021
Dual excitation and dual emission in a 1,4-diazepine bearing an extended π-system
No full textThis datapackage contains (part of) the spectroscopic (NMR, UV-vis absorption, emission, excitation, lifetime), electrochemical (CV, DPV) and computational (DFT, TD-DFT) data for this publication. Published article: https://doi.org/10.1002/chem.20250143
Redox non-innocence in first-row transition metal complexes of a π-extended β-diketiminate
No full textThis datapackage contains (part of) the spectroscopic (NMR, UV-vis absorption, EPR) and electrochemical (CV, DPV) data for this publication
Codes used for fractal magnetization
No full textThis package includes all the codes that were used to compute the results described in our paper. The mathematica codes computed the small ED and SIM-GRAPH results. The python codes computed the QMC, larger ED, and VMF results
Raw data for "Anti-cancer compound screening identifies Aurora Kinase A inhibition as a means to favor CRISPR/Cas9 gene correction over knock-out "
No full textRaw data used in the analyses presented in the manuscript "Anti-cancer compound screening identifies Aurora Kinase A inhibition as a means to favor CRISPR/Cas9 gene correction over knock-out". Data is structured per figure
Unlocking Heterobimetallic Architectures in a Symmetric PNNP ligand Environment
No full textThe data package consists of NMR data, IR-Spectroscopical data associated with the manuscript "Unlocking Heterobimetallic Architectures in a Symmetric PNNP ligand Environment". NMR files are .mnova files that can be opened using the MestreNova software
The human cerebellum in reward anticipation and outcome processing: an activation likelihood estimation meta-analysis
No full textArticle screening information, data (i.e., the coordinates), analysis scripts, results and paper for the study 'The human cerebellum in reward anticipation and outcome processing: an activation likelihood estimation meta-analysis'
Data for: 'The importance of sample-to-sensor distance in quantitative micro(paleo)magnetic analysis.'
No full textThe data in this repository consists of three parts; (1) the magnetic surface scan, (2) the spatial data, and (3) an image of the co-registered data. These data are available for seven different sample-to-sensor distance experiments from the Quantum Diamond Microscope and can be used to replicate the results described in the manuscript. The orientation and scale of the magnetic surface scan matches the orientation and scale of the spatial data. This means that using the combination of these files, an inversion for the magnetic grains can be performed.
(1) processed QDM data (XXX_Sub_MagField.txt)
(2) processed CT data (XXX_Sub_Grains.txt)
(3) co-registered data (XXX_Sub_Area.png)
Detailed information about the files in these subfolders is given in README.txt. Contact person is Rosa de Boer - [email protected] or [email protected]
GLOBGM_CMIP6: A Global Hyper-Resolution Groundwater Dataset for Assessing Historical and Future Groundwater Dynamics Under Climate and Socioeconomic Change - [ssp_rcp_annual]
No full textThis data package contains outputs from the global groundwater flow model GLOBGM, which was used to estimate global water table depth and groundwater heads at 30 arc-seconds (~1 km) resolution. The model was forced with outputs from the PCR-GLOBWB model, obtained through the HYPFLOWSCI6 project.
We provide long-term average, annual, and monthly estimates of water table depth and groundwater heads at the global scale for a historical reference simulation following the ISIMIP3a protocol, which is designed for model evaluation and impact attribution.
Additionally, we provide outputs following the ISIMIP3b protocol, which focuses on impact attribution and climate change impact assessment. These outputs cover the historical baseline period (1960–2014) and future projections (2015–2100) under three SSP-RCP scenarios (SSP1-2.6, SSP3-7.0, and SSP5-8.5), using five GCM models: GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, and UKESM1-0-LL.
This data package contains the data for the annual data. For a comprehensive overview of the entire dataset and where to access the data please see: https://vanjaarsveldbarry.github.io/globgm_cmip6