cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.a2aj7j
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geranium pusillum L.",
 "Country is Türkiye",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080967-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15769617
title: Front Toolbox benchmark data

description: Fronts-toolbox is a collection of tools to detect oceanic fronts in Python.

Some front-detection algorithms are complex and thus may perform poorly when written directly in Python.This library provides a framework of Numba accelerated functions that can be applied easily to Numpy arrays, Dask arrays, or Xarray data.It could also support Cuda arrays if necessary.This makes creating and modifying those functions easier (especially for non-specialists) than if they were written in Fortran or C extensions.

The data in this repository is to be used to test and showcase the various algorithms.
description: SST4 - MODIS Aqua, L3 Mapped, daily, 4km. Downloaded from Ocean Color

SST - ESA-CCI / C3S, L4, daily, 4km. Downloaded from CDS
DOI: 10.5281/zenodo.15774600
title: Front Toolbox benchmark data

description: Fronts-toolbox is a collection of tools to detect oceanic fronts in Python.

Some front-detection algorithms are complex and thus may perform poorly when written directly in Python.This library provides a framework of Numba accelerated functions that can be applied easily to Numpy arrays, Dask arrays, or Xarray data.It could also support Cuda arrays if necessary.This makes creating and modifying those functions easier (especially for non-specialists) than if they were written in Fortran or C extensions.

The data in this repository is to be used to test and showcase the various algorithms.
description: SST4 - MODIS Aqua, L3 Mapped, daily, 4km. Downloaded from Ocean Color

SST - ESA-CCI / C3S, L4, daily, 4km. Downloaded from CDS
DOI: 10.18150/z2yft6
title: MicroCT of gradient foam

description: Tomographic analysis of scaffolds with gradual porosity variation
DOI: 10.5281/zenodo.15774229
title: Raw data to "Quantum phase diagrams of Dicke-Ising models by a wormhole algorithm"

description: This dataset contains the results and data used to generate these results in the work "Quantum phase diagrams of Dicke-Ising models by a wormhole algorithm" [1].

It contains the QMC data used to derive the results of the paper and used to create the representative data plots. Furthermore, it also contains the results (points of phase transition, criticality) visualized and discussed in [1].

To get an overview of the organization of the directories and a description of the data we recommend the README files in the top- and subdirectories.

[1] A. Langheld et al., Quantum phase diagrams of Dicke-Ising models by a wormhole algorithm, 10.48550/arXiv.2409.15082, 2024
DOI: 10.5281/zenodo.15774230
title: Raw data to "Quantum phase diagrams of Dicke-Ising models by a wormhole algorithm"

description: This dataset contains the results and data used to generate these results in the work "Quantum phase diagrams of Dicke-Ising models by a wormhole algorithm" [1].

It contains the QMC data used to derive the results of the paper and used to create the representative data plots. Furthermore, it also contains the results (points of phase transition, criticality) visualized and discussed in [1].

To get an overview of the organization of the directories and a description of the data we recommend the README files in the top- and subdirectories.

[1] A. Langheld et al., Quantum phase diagrams of Dicke-Ising models by a wormhole algorithm, 10.48550/arXiv.2409.15082, 2024
DOI: 10.34740/kaggle/dsv/12330542
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.18150/xwxkqz
title: MicroCT scan of porous architectures

description: MicroCT scan of internal morphology of the porous architectures, with uniform sphere size distribution
DOI: 10.5281/zenodo.15774390
title: Supplementary data to "Quantum Monte Carlo study of the bond- and site-diluted transverse-field Ising model"

description: This dataset contains the data used to generate the results in the work "Quantum Monte Carlo study of the bond- and site-diluted transverse-field Ising model" [1].

processed_data.zip contains the processed data used for the figures shown in [1], while raw_data.zip contains the original simulation results without further processing.

To get an overview of the organization of the directories and a description of the data we recommend the README file in each directory.

[1] C. Krämer et al., Quantum Monte Carlo study of the bond- and site-diluted transverse-field Ising model, 10.48550/arXiv.2505.07627, 2025
DOI: 10.5281/zenodo.15774391
title: Supplementary data to "Quantum Monte Carlo study of the bond- and site-diluted transverse-field Ising model"

description: This dataset contains the data used to generate the results in the work "Quantum Monte Carlo study of the bond- and site-diluted transverse-field Ising model" [1].

processed_data.zip contains the processed data used for the figures shown in [1], while raw_data.zip contains the original simulation results without further processing.

To get an overview of the organization of the directories and a description of the data we recommend the README file in each directory.

[1] C. Krämer et al., Quantum Monte Carlo study of the bond- and site-diluted transverse-field Ising model, 10.48550/arXiv.2505.07627, 2025
DOI: 10.6084/m9.figshare.26117287
title: Supplementary data tables "<b>Elucidating the interplay between metabolites and microorganisms in the spermosphere of common bean (</b><b><i>Phaseolus vulgaris</i></b><b> L.) seeds</b>"

description: The spermosphere, the dynamic interface surrounding germinating seeds, is shaped by the intricate interplay between seed-exuded natural compounds and seed-associated microbial communities. In this work we provide the first comprehensive metabolomic and microbiome characterization of common bean (<i>Phaseolus vulgaris</i>) spermosphere of eight genotypes produced in two contrasted production regions. Through an integrated approach, we explored the metabolomic and microbiota composition in the spermosphere of germinating common bean seeds and elucidated their environmental and genotype regulation. We detected and analysed 2,467 metabolite features (Mf) through untargeted metabolomics categorized into fourteen metabolic categories, highlighting the prevalence of amino acids, flavonoids, and terpenoids. Genotype was the key factor influencing the chemical composition of the spermosphere. Furthermore, we identified 19 bacterial families and 23 fungal families inhabiting the spermosphere, with both genotype and seed production location exerting varying degrees of influence on microbial community composition. Through a multiscale integrated approach, we revealed specific associations between metabolites and microorganisms such as negative correlation between flavonoids and <i>Bacillus</i> spp., emphasizing the genotype-dependent nature of these interactions. This comprehensive investigation sheds light on the mechanisms underlying seed germination and the complex interactions between plant genotypes, seed exudates, environmental conditions, and microbial communities in the spermosphere. These findings provide a framework for developing innovative strategies to promote seed health and sustainable crop production.
DOI: 10.6084/m9.figshare.26117287.v1
title: Supplementary data tables "<b>Elucidating the interplay between metabolites and microorganisms in the spermosphere of common bean (</b><b><i>Phaseolus vulgaris</i></b><b> L.) seeds</b>"

description: The spermosphere, the dynamic interface surrounding germinating seeds, is shaped by the intricate interplay between seed-exuded natural compounds and seed-associated microbial communities. In this work we provide the first comprehensive metabolomic and microbiome characterization of common bean (<i>Phaseolus vulgaris</i>) spermosphere of eight genotypes produced in two contrasted production regions. Through an integrated approach, we explored the metabolomic and microbiota composition in the spermosphere of germinating common bean seeds and elucidated their environmental and genotype regulation. We detected and analysed 2,467 metabolite features (Mf) through untargeted metabolomics categorized into fourteen metabolic categories, highlighting the prevalence of amino acids, flavonoids, and terpenoids. Genotype was the key factor influencing the chemical composition of the spermosphere. Furthermore, we identified 19 bacterial families and 23 fungal families inhabiting the spermosphere, with both genotype and seed production location exerting varying degrees of influence on microbial community composition. Through a multiscale integrated approach, we revealed specific associations between metabolites and microorganisms such as negative correlation between flavonoids and <i>Bacillus</i> spp., emphasizing the genotype-dependent nature of these interactions. This comprehensive investigation sheds light on the mechanisms underlying seed germination and the complex interactions between plant genotypes, seed exudates, environmental conditions, and microbial communities in the spermosphere. These findings provide a framework for developing innovative strategies to promote seed health and sustainable crop production.
DOI: 10.48432/4vgsl3
title: Doses of gibberellin influencing the germination of castor seed

description: This data was collected in an experiment for measuring the effect of the hormone gibberellin on the germination of castor seed cultivar Mia (Kaiima Seeds). The test was made in plastic boxes, incubated at 30 °C for nine days, exposing the seeds to 11 doses of gibberellin varying from zero to 133 mg/L. Addtional experimental details and the analysis of the data can be found in the published article.
DOI: 10.17638/datacat.liverpool.ac.uk/2846
title: UPDATE - Superstructure Formation through Coupled Anion and Cation Ordering in Cu-substituted Lead Oxyapatites

description: UPDATE - Apatites are an important mineral-based materials family with huge chemical and structural diversity. They were recently implicated in the of claims of high temperature superconductivity in materials labelled LK-99 that display complex phase mixtures containing Pb, Cu, phosphate, and oxide components. We report Cu substituted lead apatite solid solutions Pb10-xCux(PO4)6O that display two distinct compositional ranges differentiated by structural ordering. For x &gt; 0.5, we observe substitution in the apatite archetype structure, whereas for x &lt; 0.5, we find a new apatite structure type with coupled anion and cation ordering. The new 1 × 1 × 2 superstructure in the noncentrosymmetric space group P6 ̅ (no. 174) for Pb10-xCux(PO4)6O with x &lt; 0.5 exhibits a unique oxygen ordering motif in the hexagonal channels and selective Cu substitution only on two out of seven Pb-sites. At x &gt; 0.5 in Pb10-xCux(PO4)6O Cu cations are introduced onto all Pb sites which triggers the transition to the archetypical apatite structure , reflecting the coupling of the core structural components of the apatite framework in the ordering pattern .
DOI: 10.5281/zenodo.14677551
title: Alignment across taxonomic levels in strategies but not in traits along elevational gradients

description: Data and code for the manuscript "Alignment across taxonomic levels in strategies but not in traits along elevational

gradients"
DOI: 10.15468/dl.6nvgy5
title: Occurrence Download

description: A dataset containing 716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lamium amplexicaule L.",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 716 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080976-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f8ye3c
title: Occurrence Download

description: A dataset containing 418 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lamium amplexicaule L.",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 418 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080975-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15727482
title: OHHR – The Oldenburg Hearing Health Record [Dataset]

description: Description of the dataset

The Oldenburg Hearing Health Record (OHHR) provides a publicly accessible dataset that can be used to advance hearing health research. It includes a constellation of data collected from 581 participants (aged 18–86 years; 255 female; Mean age = 67.31 years; SD = 11.93) between 2013 and 2015 at the Hörzentrum Oldenburg in collaboration with the Cluster of Excellence "Hearing4all". The data was anonymized in accordance with the General Data Protection Regulation (GDPR; Regulation (EU) 2016/679). Each participant was assigned a unique identifier to maintain anonymity while enabling multivariate individualized analyses. 

All the different data types are listed below:Subjective Measures



Home Questionnaire

SF-12 Health Survey

Technology Readiness Questionnaire

Anamnesis


Audiological Tests



Pure Tone Audiometry

Adaptive Categorical Loudness Scaling

Digit Triplet Test (Speech Reception Threshold in Noise: Screening)

Göttingen Sentence Test (Speech Reception Threshold in Noise)


Cognitive Measures



DemTect

WortSchatz


Demographic Information



Socio-economic data

Scheuch-Winkler Index (calculated)


Supporting Documentation

MethodsDescription.rtf/.pdf: Provides detailed explanations of data type and collection procedures.data.zip/metadata: Includes schema and description files for all data tables.

A supporting paper of the same name detailing the dataset and methodologies will be published and made publicly available soon.
DOI: 10.15468/dl.aedcmt
title: Occurrence Download

description: A dataset containing 42052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lamium amplexicaule L.",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 42052 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080977-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15632214
title: Checkerboard Dataset: hyperspectral unmixing dataset with ground truth

description: Description

This dataset contains seven hyperspectral images of a printed checkerboard pattern, specifically designed for research into mixed pixels and spectral unmixing in the presence of spectral variability. Each hyperspectral image was acquired using an Imec Snapscan VNIR camera under varying illumination conditions (different incident light angles and intensities). This controlled variability in lighting was introduced to generate spectral diversity within the scenes, mimicking real-world complexities.

The checkerboard pattern itself is composed of four distinct colors: black, yellow, red, and blue. It is designed to include all possible mixtures of these four colors at 25% intervals, allowing for the generation of mixed pixels with known abundance values.

The primary purpose of this dataset is to provide a controlled environment for studying mixed pixels that exhibit spectral variability. The varying illumination conditions applied during image acquisition lead to changes in the spectral signatures of the pure endmembers across the scenes, which is crucial for developing and testing robust unmixing algorithms. The known abundance values of the mixed pixels (due to the checkerboard design) provide ground truth for quantitative analysis.

Structure

The dataset is organized into the following components:



images/: This folder contains:



.mat files, each representing a hyperspectral image of the checkerboard (dimensions: 400x400 pixels, 150 spectral bands)

Matlab scripts designed to extract mixed and pure pixels from these images. Each image yields 42 distinct mixed and pure pixel samples.



whitepanels/: This folder contains:



.mat files corresponding to scans of a diffuse white panel. These scans can be used to empirically determine the intensity of a given scene and to assess the degree of sensor-induced spectral variability.



load_checkerboard.m: This is a Matlab function that facilitates the extraction of the entire dataset from the raw data. It offers several configurable options. Refer to this function's documentation for more details.

data.mat: This file contains a Matlab struct, which is the result of running the load_checkerboard.m function with all its default options. This provides a pre-processed version of the dataset for quick access and initial exploration.


Citation

If you use this dataset in your research or work, please cite it using the corresponding DOI: doi.org/10.5281/zenodo.15632215

Changes

Version 2 corrects small bugs in the MATLAB scripts, more specifically a bug in the extract_squares scripts which led to wrong ground truth abundances for pure pixels.
DOI: 10.5281/zenodo.15774726
title: Checkerboard Dataset: hyperspectral unmixing dataset with ground truth

description: Description

This dataset contains seven hyperspectral images of a printed checkerboard pattern, specifically designed for research into mixed pixels and spectral unmixing in the presence of spectral variability. Each hyperspectral image was acquired using an Imec Snapscan VNIR camera under varying illumination conditions (different incident light angles and intensities). This controlled variability in lighting was introduced to generate spectral diversity within the scenes, mimicking real-world complexities.

The checkerboard pattern itself is composed of four distinct colors: black, yellow, red, and blue. It is designed to include all possible mixtures of these four colors at 25% intervals, allowing for the generation of mixed pixels with known abundance values.

The primary purpose of this dataset is to provide a controlled environment for studying mixed pixels that exhibit spectral variability. The varying illumination conditions applied during image acquisition lead to changes in the spectral signatures of the pure endmembers across the scenes, which is crucial for developing and testing robust unmixing algorithms. The known abundance values of the mixed pixels (due to the checkerboard design) provide ground truth for quantitative analysis.

Structure

The dataset is organized into the following components:



images/: This folder contains:



.mat files, each representing a hyperspectral image of the checkerboard (dimensions: 400x400 pixels, 150 spectral bands)

Matlab scripts designed to extract mixed and pure pixels from these images. Each image yields 42 distinct mixed and pure pixel samples.



whitepanels/: This folder contains:



.mat files corresponding to scans of a diffuse white panel. These scans can be used to empirically determine the intensity of a given scene and to assess the degree of sensor-induced spectral variability.



load_checkerboard.m: This is a Matlab function that facilitates the extraction of the entire dataset from the raw data. It offers several configurable options. Refer to this function's documentation for more details.

data.mat: This file contains a Matlab struct, which is the result of running the load_checkerboard.m function with all its default options. This provides a pre-processed version of the dataset for quick access and initial exploration.


Citation

If you use this dataset in your research or work, please cite it using the corresponding DOI: doi.org/10.5281/zenodo.15632215

Changes

Version 2 corrects small bugs in the MATLAB scripts, more specifically a bug in the extract_squares scripts which led to wrong ground truth abundances for pure pixels.
DOI: 10.34847/nkl.60679o2r
title: Vocabulaire du football "nationalisé"
title: "Nacionalização" da terminologia do futebol

description: Le lexique publié par les journaux paulistes dans les années 1920 pour "nationaliser" (traduire en portugais) les termes anglais utilisés jusqu'alors pour parler du football.
DOI: 10.5281/zenodo.15753796
title: Effects of hybridization on chemical diversity and plant-insect herbivore interactions in Salix alba × fragilis

description: This database integrates the data tables and some unpublished datasets from the forthcoming paper, “Effects of Hybridization on Chemical Diversity and Plant-Insect Herbivore Interactions in Salix alba × fragilis,” soon to be published in the Journal of Experimental Botany.

Abstract :Hybridization can create novel chemical traits and enhance plant adaptability to diverse environments. This study examined the effects of hybridization on chemical diversity and ecological interactions in Salix alba × fragilis hybrids from the Elbe River basin (Czechia). We analysed leaf metabolites of hybrids and their parental species for concentration, richness, and structural α- and β-diversity, linking them to herbivorous insect assemblages and soil conditions. Hybrids exhibited intermediate metabolite concentration and richness but showed higher structural α-diversity and distinct structural β-diversity compared to parents. Hybrid-specific metabolites were structurally related to parental metabolites, indicating minor structural modifications rather than major changes to metabolic pathways following hybridization. Herbivore assemblages were influenced by metabolite richness or structural α-diversity. However, insect group responses varied, and herbivory damage did not correlate with leaf chemistry or differ between hybrids and parents.  Soil nitrogen correlated with metabolite structural β-diversity, with hybrids displaying greater chemical variation along nitrogen gradients. These results highlight that hybridization significantly altered structural metabolite diversity.  Yet, the structural changes were relatively minor, which together with group-specific responses of herbivores, could explain their modest effect on herbivory. Instead, they may enable these hybrids to flexibly respond to soil conditions, possibly contributing to their widespread occurrence.
description: Authors list : 

Sofian A. Renoult1,2*, Jing V. Leong1,2, Priscila Mezzomo1,2, Pavel Sebek1, Petr Koutecký2, Jaroslav Kukla3, Petr Nguyen1,2, Martin Moos1,4, Václav Pokorny1,2, Natascha D. Wagner5, Jan Frouz3,6, Nicole M. van Dam7,8, Martin Volf1,2

1Biology Centre CAS, Institute of Entomology, Ceske Budejovice, Czechia; 2University of South Bohemia, Faculty of Science, Ceske Budejovice, Czechia; 3Charles University, Institute for Environmental Studies, Praha, Czechia; 4University of South Bohemia, Faculty of Agriculture and Technology, Ceske Budejovice, Czechia; 5Department of Systematics, Biodiversity and Evolution of Plants (With Herbarium), University of Goettingen, Göttingen, Germany; 6Biology Centre CAS, Institute of Soil Biology and Biogeochemistry, Ceske Budejovice, Czechia; 7Leibniz Institute for Vegetable and Ornamental Crops (IGZ) e.V., Großbeeren, Germany; 8German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany