cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.24416/uu01-olmsn0
title: Micro Computational Tomography, Acoustic Emission and rock temperature data from frost weathering tests on Dachstein Limestone

description: We tested the efficacy of frequent diurnal freeze-thaw cycles (FT-1) and sustained freezing cycles (FT-2) on low-porosity Dachstein limestone (0.1 % porosity). For FT-1, we exposed three rock samples with different saturation regimes (30%, 70%, 100%) to 20 freeze-thaw cycles between 10 and -10°C while monitoring rock temperature and acoustic emission (AE). We scanned the rock samples using micro computational tomography (CT) before the first cycle, after 5, 10, 15 and 20 cycles. For FT-2, we exposed three rock samples with different saturation regimes (30%, 70%, 100%) to one sustained freezing cycle with 66 h freezing at -10°C while monitoring rock temperature and AE.  We scanned the rock samples using micro CT before the first cycle and after the end of the experiment. The data set comprises all micro CT scans, rock temperature and AE data.

The data will be provided in 2 subfolders. Detailed information about the files as well as information on how the data is processed is given in the explanatory file ReadMe_Frost.txt. Contact person is: Daniel Draebing - Researcher - d.draebing@uu.nl.
DOI: 10.15468/dl.hh2zz7
title: Occurrence Download

description: A dataset containing 344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is South Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Acacia baileyana",
 "Year 1970-2026"
 ]
}

 The dataset includes 344 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005412-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uvvrhp
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithophyllum pseudoracemus"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005410-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3dedg5
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mongolia",
 "TaxonKey is Artemisia desertorum"
 ]
}

 The dataset includes 16 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005413-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mzrcsn
title: Occurrence Download

description: A dataset containing 1633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gynochthodes umbellata",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1633 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005408-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24416/uu01-by9o4s
title: Output of model simulations used for publication "South Asian agriculture increasingly dependent on meltwater and groundwater"

description: Output of model simulations used for publication "South Asian agriculture increasingly dependent on meltwater and groundwater", published in Nature Climate Change in 2022. Publication doi:10.1038/s41558-022-01355-z

The archive contains outputs of 8 model runs forced with different combinations of GCMs and SSPs. All outputs are stored in NetCDF files at 5 minute spatial resolution covering the downstream spatial model domain (Indus, Ganges and Brahmaputra river basins), and cover the period 1981-2100. See also the readme file included in the archive. Contact person: Arthur Lutz - a.f.lutz@uu.nl
DOI: 10.24416/uu01-m0u1ot
title: Outcome-Driven Microscopy: Optogenetic Control of Biological Processes with Real-Time Feedback

description: Raw data, analysis and supplementary code for Passmore & Rates et. al. (2025) "Outcome-Driven Microscopy: Optogenetic Control of Biological Processes with Real-Time Feedback"
DOI: 10.24416/uu01-t7tvtq
title: Futurestreams dataset

description: Repository of discharge and water temperature scenarios derived from 5 CMIP5 GCMs from the ISI-MIP project computed by the global water balance model PCRGLOBWB and the global water temperature model DynWat.
Data are provided on a weekly temporal resolution and 10km spatial resolution. 4 Representative Concentration Pathways are presented, RCP2.6, RCP4.5, RCP6.0 and RCP8.5, up to 2099. The historical simulations are also provide for 1976 - 2005. A historical simulation derived from E2O reanalysis data is also provided. 

Data access is currently restricted, and will become directly available once the accompanying Data Descriptor (currently under review) is published. 
Contact persons are: 
- Joyce Bosmans (joyce.bosmans@ru.nl)
- Niko Wanders (n.wanders@uu.nl)
DOI: 10.24416/uu01-kc4dtu
title: Outcome-Driven Microscopy: Optogenetic Control of Biological Processes with Real-Time Feedback

description: Raw data, analysis and supplementary code for Passmore & Rates et. al. (2025) "Outcome-Driven Microscopy: Optogenetic Control of Biological Processes with Real-Time Feedback"
DOI: 10.24416/uu01-z9suz7
title: Outcome-Driven Microscopy: Optogenetic Control of Biological Processes with Real-Time Feedback

description: Raw data, analysis and supplementary code for Passmore & Rates et. al. (2025) "Outcome-Driven Microscopy: Optogenetic Control of Biological Processes with Real-Time Feedback"
DOI: 10.24416/uu01-acsdr4
title: Original microstructural data of altered rocks and reconstructions using generative adversarial networks (GANs)

description: We image two altered rock samples consisting of a meta-igneous and a serpentinite showing an isolated porous and fracture network, respectively. The rock samples are collected during previous visits to Swartberget, Norway in 2009 and Tønsberg, Norway in 2012. The objective is to employ a deep-learning-based model called generative adversarial network (GAN) to reconstruct statistically-equivalent microstructures. To evaluate the reconstruction accuracy, different polytope functions are calculated and compared in both original and reconstructed images. Compared with a common stochastic reconstruction method, our analysis shows that GAN is able to reconstruct more realistic microstructures. The data are organized into 12 folders: one containing original segmented images of rock samples, one with python codes used,  and the other 10 folder containing data and individual figures used to create figures in the main publication.
DOI: 10.5281/zenodo.18595469
title: Enhancing usability of historical geoportal with user survey and focus group interview methods – Atlas Fontium case study
DOI: 10.5281/zenodo.18595470
title: Enhancing usability of historical geoportal with user survey and focus group interview methods – Atlas Fontium case study
DOI: 10.24416/uu01-ilckyc
title: Nature Protocols Supplementary files: A Translatable IR-Chemometrics Model for the Rapid Prediction of Structural and Material Properties of Technical Lignins

description: The datapackage contains property data (molecular weight caracteristics from GPC, linkage abundances from HSQC NMR, and glass transition temperature from MDSC) for 61 unique technical lignins.The sample set is split between 54 calibration samples and 7 test (validation) samples. Important to note, that the validation samples were measured twice by IR, totalling 14 validation spectra. As this data is part of a study investigating the use of calibration transfer methodology, a selection of 10 calibration samples, as well as the 7 validation samples, were measured on 7 other FT-IR instrument set ups across multiple labs. Again, the validation samples were measured twice on each of these instruments, totalling 14 validation spectra on each instrument. The raw spectra are included in this data package as .sp, .0, and .SPA files, as FT-IR spectrometers from PerkinElmer, Bruker, and ThermoFisher Scientific were used, respectively. Furthermore, the PLS models used for prediction of the different properties of the lignin,  have been included as .mat files for those with access to MATLAB that may wish to utilise our models. Additionally, the spectra have been compiled in .mat files for easier use in the MATLAB environment.
DOI: 10.24416/uu01-i358vi
title: Data package on the impact of nanoconfinement on the chemistry of geofluids

description: To determine the effect of nanoconfinement on the geochemistry of water, we incorporate dielectric permittivity data of nanoconfined water into thermodynamic equilibrium models. We explored water self-ionization, ion pairing, pH, and aqueous speciation under nanoconfinement within the Earth. The data is organised into seven folders, each labelled as Figure X, where X corresponds to the figure number in the primary publication. Thermodynamic equilibrium modelling was conducted using the Geochemist Workbench (GWB) software, available at https://www.gwb.com/, and the PyGCC package, available at https://pypi.org/project/pygcc/. Detailed information about the files and methods employed can be found in the accompanying readme file.
DOI: 10.24416/uu01-1082kx
title: Model output for the paper "Estimating Geodynamic Model Parameters from Geodetic Observations Using a Particle Method"

description: This dataset contains the input and output files of the synthetic and real data assimilation experiments for interseismic deformation associated with the 2011 Tohoku-Oki earthquake. All methods, results, bibliography/citations, and figures are described in detail in the publication: Marsman et al., (2023): Estimating Geodynamic Model Parameters from Geodetic Observations Using a Particle Method, Geophysical Journal International (DOI: 10.1093/gji/ggad450).
DOI: 10.24416/uu01-v58p9l
title: Luke Riddell - PhD Thesis Chapter Appendices

description: The additional data pertaining to each of the experimental chapters is contained within.
DOI: 10.24416/uu01-fsnbdk
title: Model output for the paper "Estimating Geodynamic Model Parameters from Geodetic Observations Using a Particle Method"

description: This dataset contains the input and output files of the synthetic and real data assimilation experiments for interseismic deformation associated with the 2011 Tohoku-Oki earthquake. All methods, results, bibliography/citations, and figures are described in detail in the publication: Marsman et al., (2023): Estimating Geodynamic Model Parameters from Geodetic Observations Using a Particle Method, Geophysical Journal International (DOI: 10.1093/gji/ggad450).
DOI: 10.24416/uu01-isq31y
title: Data supplementary to "Transitional polders between double dikes: driving land-level rise and reducing flood propagation"

description: This data set contains supplementary material for the NBS paper Weisscher et al (2022). The supplementary material includes the input files for the Delft3D modelling along with files necessary to reproduce the scenario permutations reported in the associated paper. All files can be opened and changed using Notepad++ or a similar program. For contact, please mail to: s.a.h.weisscher@uu.nl or m.g.kleinhans@uu.nl
DOI: 10.24416/uu01-s5fcm9
title: From aerial drone to QTL: Leveraging next-generation phenotyping to reveal the genetics of color and height in field-grown Lactuca sativa

description: This Dataset contains all the data required to replicate the results presented in the manuscript. A detailed description is available in the readme.txt, the scripts are available at https://github.com/SnoekLab/Dijkhuizen_etal_2025_Drone. The folder R_objects_plots contains the raw data, all the other subfolders contain steps in processing the raw data. All .out objects are R objects that can be loaded into R. The Supplemental_data.xlsx contains the processed data that we use to create all the figures. We also include a weather rapport, this is not used in the manuscript itself but we supply it for if anyone wants to use it. Contact person is Basten Snoek. l.b.snoek@uu.nl

Paper abstract:
In recent years, the automation of genotyping has significantly enhanced the efficiency of genome-wide association studies. Due to this development, phenotyping is now usually the rate-limiting step, especially in the field. Efforts are now focused on further automating in-field phenotyping. Here we present a GWAS study on 194 field-grown accessions of lettuce (Lactuca sativa). These accessions were non-destructively phenotyped at two time points 15 days apart using an unmanned aerial vehicle. Our high throughput phenotyping approach integrates an RGB camera, a multispectral camera to measure the reflectance at 5 wavelengths (blue, green, red, red edge, near-infrared), and precise height estimation. We used the mean and other descriptives such as median, quantiles, minimum and maximum to quantify different aspects of color and height variation in lettuce from the drone images. Using this approach, we confirm several previously described QTLs, now in populations grown under field conditions and identify several new QTLs for plant-height and color.
DOI: 10.24416/uu01-r82twe
title: Data supplementary to "Building and raising land: mud and vegetation effects in infilling estuaries"

description: This data set contains supplementary material and the raw data for the JGR paper Weisscher et al (2022). The supplementary material includes the DEMs of three experiments, which were derived from stereo-photography (TIFF format) and from laser-scanning (TIFF format and MAT format). Also, the data package includes overhead imagery in the form of a movie per experiment (MP4 format) and overhead georeferenced photos (PNG format) of the dry bed of two experiments to classify mud and vegetation distributions. The data package also contains the input files (processed DEMs - CSV format; hydraulic roughness maps - TXT format) needed to remodel the tidal flow in Nays2D using the GUI iRIC (consult data package by Weisscher et al 2020 Esurf for installation and instructions). The data package includes the raw (CSV format) and processed (ASC format) output files of the flow modelling in Nays2D. For contact, please mail to: s.a.h.weisscher@uu.nl or m.g.kleinhans@uu.nl.
DOI: 10.24416/uu01-9363hc
title: SensorFusionInPtychography

description: This archive contains the ptychograpical reconstruction model called PtychoKeras used for developing a sensor fusion algorithm in ptychography. In the archive, you will find the ptychokeras.py reconstruction model and the folder functions with the supporting scripts that make up the model. You will also find a laboratory data set in the folder ptycho_data that contains the data which was used to verify the model. Lastly, in the folder output, you will find the resulting reconstructions of the data and a script called FringeVisibility.py which was used to analyse the reconstructed output.
DOI: 10.24416/uu01-6spjui
title: Global impact of sea level rise on coastal fresh groundwater resources 

description: This readme.txt file briefly describes the contents of the datapackage containing the model results of the 
Global impact of sea level rise on coastal fresh groundwater resources study (GW_models_SLR). The datapackage
also includes estimates of groundwater recharge for the paleoreconstruction time steps (GW_recharge).
DOI: 10.24416/uu01-5pnsdh
title: Dual excitation and dual emission in a 1,4-diazepine bearing an extended π-system

description: This 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.202501434
DOI: 10.24416/uu01-v6b9ys
title: GLOBGM_CMIP6: A Global Hyper-Resolution Groundwater Dataset for Assessing Historical and Future Groundwater Dynamics Under Climate and Socioeconomic Change - [ssp_rcp_annual]

description: This 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/
DOI: 10.24416/uu01-slrfi7
title: GLOBGM_CMIP6: A Global Hyper-Resolution Groundwater Dataset for Assessing Historical and Future Groundwater Dynamics Under Climate and Socioeconomic Change - [ssp_rcp_average]

description: This 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.

The date here pertains to the long-term average data for the ensemble and GCMSs For a comprehensive overview of the entire dataset and where to access the data please see: https://vanjaarsveldbarry.github.io/globgm_cmip6/
DOI: 10.24416/uu01-rwrtbj
title: Redox non-innocence in first-row transition metal complexes of a π-extended β-diketiminate

description: This datapackage contains (part of) the spectroscopic (NMR, UV-vis absorption, EPR) and electrochemical (CV, DPV) data for this publication.
DOI: 10.24416/uu01-1bxlpd
title: GLOBGM_CMIP6: A Global Hyper-Resolution Groundwater Dataset for Assessing Historical and Future Groundwater Dynamics Under Climate and Socioeconomic Change - [ssp_rcp_monthly]

description: This 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 monthly ensemble data. For a comprehensive overview of the entire dataset and where to access the data please see: https://vanjaarsveldbarry.github.io/globgm_cmip6/
DOI: 10.24416/uu01-16ej3y
title: GLOBGM_CMIP6: A Global Hyper-Resolution Groundwater Dataset for Assessing Historical and Future Groundwater Dynamics Under Climate and Socioeconomic Change - [quality_assurance]

description: This data package forms part of the GLOBGM_CMIP6 dataset which was simulated using GLOBGM, a global groundwater model. GLOBGM was used to 
estimate global water table depth and groundwater heads at a spatial resolution of 30 arc-seconds (~1 km). 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. This protocol 
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. The data include simulations from five Global Climate Models (GCMs):
GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, and UKESM1-0-LL.

The date here pertains to quality assurance. For a comprehensive overview of the entire dataset and where to access 
the data please see: https://vanjaarsveldbarry.github.io/globgm_cmip6/
DOI: 10.24416/uu01-akshox
title: GLOBGM_CMIP6: A Global Hyper-Resolution Groundwater Dataset for Assessing Historical and Future Groundwater Dynamics Under Climate and Socioeconomic Change - [globgm_historical_reference_gswp3-w5e5]

description: This 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 historical reference simulation. For a comprehensive overview of the entire dataset and where to access the data please see: https://vanjaarsveldbarry.github.io/globgm_cmip6/