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

description: A dataset containing 1023 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oophaga sylvatica (Funkhouser, 1956)"
 ]
}

 The dataset includes 1023 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012890-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kv9a5d
title: Occurrence Download

description: A dataset containing 1725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.54908425141714",
 "DecimalLongitude is less than 7.55214380460153",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1725 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005321-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbsbmd
title: Occurrence Download

description: A dataset containing 9953 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andropogon virginicus L."
 ]
}

 The dataset includes 9953 records from 188 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099031-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rr9ey4
title: Occurrence Download

description: A dataset containing 13467 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Ecuador",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 13467 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012900-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive17464.20241212.9.2
title: Luteibacter yeojuensis (Kim et al. 2006) Kämpfer et al. 2009

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17465.20241212.9.2
title: Luteibacter anthropi Kämpfer et al. 2009

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.2dasbn
title: Occurrence Download

description: A dataset containing 1369863 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Europe",
 "CoordinateUncertaintyInMeters 0.0-250.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2004-2010"
 ]
}

 The dataset includes 1369863 records from 493 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010272-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive17466.20241212.9.2
title: Luteimonas mephitis Finkmann et al. 2000 emend. Lin et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17468.20241212.9.2
title: Luteimonas aestuarii Roh et al. 2009

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17469.20241212.9.2
title: Luteimonas aquatica Chou et al. 2008 emend. Lin et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17470.20241212.9.2
title: Luteimonas marina Baik et al. 2008

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17473.20241212.9.2
title: Luteimonas terricola Zhang et al. 2010

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17474.20241212.9.2
title: Lysobacter antibioticus Christensen and Cook 1978

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17476.20241212.9.2
title: Lysobacter enzymogenes Christensen and Cook 1978 emend. Lin et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive17483.20241212.9.2
title: Lysobacter concretionis Bae et al. 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.sdykz6
title: Occurrence Download

description: A dataset containing 15769 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Swiss National Mammal Databank: Larger Carnivores Monitoring Program (KORA)",
 "TaxonKey is Canis lupus"
 ]
}

 The dataset includes 15769 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069432-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18086904
title: Replication Package - Inter-Organizational Collaborations in Open-Source Software Ecosystems

description: This release provides the complete replication package for the research article "Inter-Organizational Collaborations in Open-Source Software Ecosystems", accepted for publication in Journal of Systems and Software.

The replication package supports transparency and reproducibility of the empirical analyses presented in the article. It documents the full research workflow and includes the data artifacts, analysis scripts, and documentation required to reproduce the reported results.

This release includes:



Processed and aggregated datasets derived from longitudinal mining of GitHub repositories

Documentation of data collection, preprocessing, and affiliation disambiguation procedures

Supplementary materials supporting figures and tables reported in the manuscript


The study examines inter-organizational collaboration across five major open-source software ecosystems (React, Vue, TensorFlow, Bootstrap, and Flutter) over a ten-year observation period. It aims to identify key contributing and influential organizations, analyze collaboration patterns, and understand their evolution over time based on co-editing relationships in source code repositories and established social network analysis metrics.

Version note: This release corresponds to the author accepted manuscript that led to acceptance at Journal of Systems and Software. No further changes affecting the reported analyses or results are expected.

License: All materials are released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

This release is intended for long-term archiving and citation and is archived via Zenodo, where it has been assigned a persistent DOI.Archived on Zenodo: https://doi.org/10.5281/zenodo.18086905
DOI: 10.5281/zenodo.18086905
title: Replication Package - Inter-Organizational Collaborations in Open-Source Software Ecosystems

description: This release provides the complete replication package for the research article "Inter-Organizational Collaborations in Open-Source Software Ecosystems", accepted for publication in Journal of Systems and Software.

The replication package supports transparency and reproducibility of the empirical analyses presented in the article. It documents the full research workflow and includes the data artifacts, analysis scripts, and documentation required to reproduce the reported results.

This release includes:



Processed and aggregated datasets derived from longitudinal mining of GitHub repositories

Documentation of data collection, preprocessing, and affiliation disambiguation procedures

Supplementary materials supporting figures and tables reported in the manuscript


The study examines inter-organizational collaboration across five major open-source software ecosystems (React, Vue, TensorFlow, Bootstrap, and Flutter) over a ten-year observation period. It aims to identify key contributing and influential organizations, analyze collaboration patterns, and understand their evolution over time based on co-editing relationships in source code repositories and established social network analysis metrics.

Version note: This release corresponds to the author accepted manuscript that led to acceptance at Journal of Systems and Software. No further changes affecting the reported analyses or results are expected.

License: All materials are released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

This release is intended for long-term archiving and citation and is archived via Zenodo, where it has been assigned a persistent DOI.Archived on Zenodo: https://doi.org/10.5281/zenodo.18086905
DOI: 10.21227/tjpa-gt18
title: "Cross-City LST Prediction with Physics-Informed Neural Networks: Few-Shot Gains from NYC\u2192Austin and Austin\u2192NYC"

description: "A physics-informed neural network (Residual-PINN) is developed for mapping urban land-surface temperature (LST), blending flexible data-driven learning with a steady-state heat constraint enforced via a spatial Laplacian penalty. Inputs include Landsat-8 C2 L2 indices the Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Normalized Difference Built-up Index (NDBI), Normalized Difference Impervious Index (NDII), and Normalized Impervious Surface Index (NDISI), alongside a Digital Elevation Model (DEM) and meteorology. The study window is the warm season May\u2013September 2023, with Landsat data with cloud cover less than 10% and standard L2 QA filtering. Feature engineering adds seasonality (sin\/cos of day-of-year), selected interactions, quadratic terms, and neighborhood context via ring statistics in three annuli (0\u2013300, 300\u2013500, 500\u20131000 m). Evaluation is leakage\u2011aware and identical across models: 3-fold GroupKFold over spatial blocks with a 300 m exclusion buffer, reporting OOF RMSE\/MAE\/R\u00b2 (mean \u00b1 SD). Compared with the Histogram Gradient Boosting Regressor (HGBR) baseline, the PINN yields physics-consistent maps and achieves monotonic few-shot gains under cross-city transfer (Austin\u2194NYC): with only \u22485\u201310% labeled target pixels, most of the gap to fully local training is recovered. The framework is transferable, sample-efficient, and interpretable, and it is released with a minimal reproducibility package."
DOI: 10.5281/zenodo.18100429
title: Syntheverse Expeditions: Explorations of the Hydrogen-Holographic Fractal Universe

description: This repository serves as the official collection of Syntheverse Expeditions, documenting empirical studies, in-silico modeling, and theoretical explorations of the hydrogen-holographic fractal universe. Each expedition investigates complex systems, consciousness, and the Awarenessverse, providing predictions, findings, and reproducible analyses using publicly available datasets and validated computational methods.

The first entry, “The Awarenessverse: Empirical Modeling and Predictions of Awareness as the Ultimate Energy”, explores awareness as the fundamental energy underlying all existence, validating emergent patterns, fractal self-similarity, and homeostatic constraints in complex systems. This repository will continuously expand as new Syntheverse Expeditions are conducted, providing open-access, peer-review-aligned research outputs for the scientific and generative awareness community.

Keywords: Syntheverse, Hydrogen-Holographic Fractals, Awarenessverse, Complex Systems, In-Silico Modeling, Empirical Validation, Open Science, FractiAI
DOI: 10.5281/zenodo.18099881
title: HOTRG dataset for the Ising model on a 3D fractal lattice (magnetization, critical isotherm, bond energy)

description: This repository contains numerical data underlying figures in our study of the classical Ising model on a 3D fractal lattice (Hausdorff dimension d_H = 2.5, boundary dimension d = 2), computed using the higher-order tensor renormalization group (HOTRG).

The deposit includes plain-text data files for:1) Magnetization m(T) versus temperature at multiple bond dimensions (including D = 16 and D = 17 for convergence checks),2) Critical isotherm magnetization m0(h) versus magnetic field h,3) Bond energy u(T) versus temperature (the specific heat c(T) can be obtained by numerical differentiation of u(T)),4) Convergence data for Tc and the magnetization exponent beta versus bond dimension D.

The custom simulation code used to generate the data is not publicly released.

Funding: European Union (NextGenerationEU) via the Recovery and Resilience Plan for Slovakia, project No. 09I03-03-V04-00682.
DOI: 10.5281/zenodo.18099882
title: HOTRG dataset for the Ising model on a 3D fractal lattice (magnetization, critical isotherm, bond energy)

description: This repository contains numerical data underlying figures in our study of the classical Ising model on a 3D fractal lattice (Hausdorff dimension d_H = 2.5, boundary dimension d = 2), computed using the higher-order tensor renormalization group (HOTRG).

The deposit includes plain-text data files for:1) Magnetization m(T) versus temperature at multiple bond dimensions (including D = 16 and D = 17 for convergence checks),2) Critical isotherm magnetization m0(h) versus magnetic field h,3) Bond energy u(T) versus temperature (the specific heat c(T) can be obtained by numerical differentiation of u(T)),4) Convergence data for Tc and the magnetization exponent beta versus bond dimension D.

The custom simulation code used to generate the data is not publicly released.

Funding: European Union (NextGenerationEU) via the Recovery and Resilience Plan for Slovakia, project No. 09I03-03-V04-00682.
DOI: 10.15468/dl.pmktva
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Pakistan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Xanthomonas oryzae"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069434-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18089210
title: Source datasets for publication "Protein-protein interactions drive differences in the spatiotemporal dynamics of NANOG and SOX2 in naïve pluripotent cells"

description: Source datasets for publication "Protein-protein interactions drive differences in the spatiotemporal dynamics of NANOG and SOX2 in naïve pluripotent cells"



Immunofluorescence (images)

Single-molecule localisation microscopy (localisations, tracks, biophysical parameters)
DOI: 10.5281/zenodo.18089211
title: Source datasets for publication "Protein-protein interactions drive differences in the spatiotemporal dynamics of NANOG and SOX2 in naïve pluripotent cells"

description: Source datasets for publication "Protein-protein interactions drive differences in the spatiotemporal dynamics of NANOG and SOX2 in naïve pluripotent cells"



Immunofluorescence (images)

Single-molecule localisation microscopy (localisations, tracks, biophysical parameters)
DOI: 10.34740/kaggle/dsv/14348001
title: Indonesian Hoax News Dataset
DOI: 10.5281/zenodo.17553590
title: Lilamorph Wikibase: Latin Inflected Forms and Corpus Attestations

description: We are using a Wikibase instance (https://lilamorph.wikibase.cloud) for publishing a Latin verb forms dataset, with the final goal of enriching Wikidata Latin lexemes, and for corpus annotation (matching tokens in morphologically annotated corpora to Wikibase forms).

Building on the PrinParLat lexicon of Latin verb principal parts, we generate the complete set of inflected forms for over 8,000 verbs, encoded as RDF in a dedicated Wikibase instance. These data are linked to the Index Thomisticus Treebank (ITTB), whose morphologically annotated tokens are related to corresponding forms based on segmental identity, lemma alignment, and mapped morphological features. Our method achieves over 95% coverage of ITTB verbal tokens, demonstrating the robustness of our generation and linking pipeline even for Medieval Latin data. By aligning Paralex, Wikidata, and LiLa ontologies, we ensure semantic interoperability and facilitate future integration into Wikidata. Beyond Latin, this workflow provides a reproducible model for linking inflectional paradigms and corpus attestations in other languages. 

With the different forms lexica built on our Wikibase instance, we are now in the position to contribute to a discussion in the Wikidata community, comparing different options of representation of inflected forms. We would like to highlight corpus token linking as central use case for Wikibase forms, which entails to adopt the data model that caters best for that application, namely a separate listing of orthographically identical but morphologically ambiguous forms. 

Having chosen Wikibase as platform for the experiments presented here, all datasets remain now ready for intervention of human or algorithmic users, who would mark ambiguous links (from token to form, or from token to lila lemma), as “preferred” or “deprecated”, so that the ambiguity is resolved.
DOI: 10.5281/zenodo.17553591
title: Lilamorph Wikibase: Latin Inflected Forms and Corpus Attestations

description: We are using a Wikibase instance (https://lilamorph.wikibase.cloud) for publishing a Latin verb forms dataset, with the final goal of enriching Wikidata Latin lexemes, and for corpus annotation (matching tokens in morphologically annotated corpora to Wikibase forms).

Building on the PrinParLat lexicon of Latin verb principal parts, we generate the complete set of inflected forms for over 8,000 verbs, encoded as RDF in a dedicated Wikibase instance. These data are linked to the Index Thomisticus Treebank (ITTB), whose morphologically annotated tokens are related to corresponding forms based on segmental identity, lemma alignment, and mapped morphological features. Our method achieves over 95% coverage of ITTB verbal tokens, demonstrating the robustness of our generation and linking pipeline even for Medieval Latin data. By aligning Paralex, Wikidata, and LiLa ontologies, we ensure semantic interoperability and facilitate future integration into Wikidata. Beyond Latin, this workflow provides a reproducible model for linking inflectional paradigms and corpus attestations in other languages. 

With the different forms lexica built on our Wikibase instance, we are now in the position to contribute to a discussion in the Wikidata community, comparing different options of representation of inflected forms. We would like to highlight corpus token linking as central use case for Wikibase forms, which entails to adopt the data model that caters best for that application, namely a separate listing of orthographically identical but morphologically ambiguous forms. 

Having chosen Wikibase as platform for the experiments presented here, all datasets remain now ready for intervention of human or algorithmic users, who would mark ambiguous links (from token to form, or from token to lila lemma), as “preferred” or “deprecated”, so that the ambiguity is resolved.
DOI: 10.5281/zenodo.18100387
title: Data from the study sample titled –Cybersecurity Awareness as a Mediating Variable in the Relationship between ICS and AIS in Iraqi State Banks.

description: The data sample for the study titled "Cybersecurity Awareness as a Mediating Variable in the Relationship between ICS and AIS in Iraqi State Banks" includes the questionnaire used in the research above.
DOI: 10.5281/zenodo.18100386
title: Data from the study sample titled –Cybersecurity Awareness as a Mediating Variable in the Relationship between ICS and AIS in Iraqi State Banks.

description: The data sample for the study titled "Cybersecurity Awareness as a Mediating Variable in the Relationship between ICS and AIS in Iraqi State Banks" includes the questionnaire used in the research above.
DOI: 10.5281/zenodo.18093832
title: Dataset for Tuning wettability and electrical conductivity of carbon-based foils via ion-beam engineering

description: Dataset for "Tuning wettability and electrical conductivity of carbon-based foils via ion-beam engineering".

Meta files with sample describtion are dirrectly in .zip files.
DOI: 10.5281/zenodo.18098351
title: Pole-to-pole Phyllotaxis MRI Dataset: Brain Data Part I

description: This dataset accompanies the paper "Pole-to-Pole 3D Radial Trajectory Designs Improve Image Quality and Quantitative Parametric Mapping in the Brain and Heart", accepted for publication in Magnetic Resonance in Medicine (MRM) in 2025. It includes brain MRI data from three experiments (V01-V03), designed to assess the impact of different radial trajectory designs on image quality and quantitative parametric mapping.

Each dataset consists of phase-cycled bSSFP raw data, acquired using 3D radial scans with three trajectory types: original, pole-to-pole, and continuous Phyllotaxis. In addition, a 3D Cartesian reference scan is included for comparison.
DOI: 10.5281/zenodo.18098352
title: Pole-to-pole Phyllotaxis MRI Dataset: Brain Data Part I

description: This dataset accompanies the paper "Pole-to-Pole 3D Radial Trajectory Designs Improve Image Quality and Quantitative Parametric Mapping in the Brain and Heart", accepted for publication in Magnetic Resonance in Medicine (MRM) in 2025. It includes brain MRI data from three experiments (V01-V03), designed to assess the impact of different radial trajectory designs on image quality and quantitative parametric mapping.

Each dataset consists of phase-cycled bSSFP raw data, acquired using 3D radial scans with three trajectory types: original, pole-to-pole, and continuous Phyllotaxis. In addition, a 3D Cartesian reference scan is included for comparison.
DOI: 10.5281/zenodo.18098463
title: Pole-to-pole Phyllotaxis MRI Dataset: Brain Data Part II

description: This dataset accompanies the paper "Pole-to-Pole 3D Radial Trajectory Designs Improve Image Quality and Quantitative Parametric Mapping in the Brain and Heart", accepted for publication in Magnetic Resonance in Medicine (MRM) in 2025. It includes brain MRI data from three experiments (V01-V03), designed to assess the impact of different radial trajectory designs on image quality and quantitative parametric mapping.

Each dataset consists of phase-cycled bSSFP raw data, acquired using 3D radial scans with three trajectory types: original, pole-to-pole, and continuous Phyllotaxis. In addition, a 3D Cartesian reference scan is included for comparison.