cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9s8shf
title: Occurrence Download

description: A dataset containing 3887850 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trifolium Tourn. ex L."
 ]
}

 The dataset includes 3887850 records from 3583 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027577-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/zmfq7d
title: Parklaan 8 te Hilversum, gemeente Hilversum Een bureauonderzoek en inventariserend veldonderzoek in de vorm van een verkennend booronderzoek

description: In opdracht van Studio S3 B.V. heeft ADC ArcheoProjecten in juli en augustus 2023 een bureauonderzoek en inventariserend veldonderzoek in de vorm van een verkennend booronderzoek uitgevoerd op de locatie Parklaan 8 te Hilversum (afb. 1 en afb. 2). De aanleiding voor het onderzoek is de aanvraag van een omgevingsvergunning voor nieuwbouw van een woning. Op basis van het bureauonderzoek is een gespecificeerde verwachting opgesteld. Op basis van de ligging van het plangebied op smeltwaterafzettingen geldt een hoge verwachting voor archeologische resten uit het Paleolithicum tot en met de Vroege Middeleeuwen. Deze verwachting is afhankelijk van de intactheid van het bodemprofiel. Uit verschillende booronderzoeken in het onderzoeksgebied is gebleken dat de bovenste circa 85 cm van het bodemprofiel veelal is verstoord door egalisatiewerkzaamheden voorafgaand aan de aanleg van de villawijk Nimrodpark. Teneinde deze verwachting te toetsen en aan te vullen is in het plangebied een verkennend booronderzoek uitgevoerd. Daarbij is vastgesteld dat de ondergrond uit matig grof zand bestaat die als smeltwaterafzettingen (Laagpakket van Schaarsbergen van de Formatie van Drente) zijn te interpreteren. In de top zijn geen aanwijzingen voor een podzolbodem aangetroffen. De bovengrond bestaat grotendeels uit een heterogeen pakket bruingeel of geelgrijs zand afgedekt door de bouwvoor. Het heterogene pakket en de bouwvoor zijn samen tussen 85 en 120 cm dik. In één boring is mogelijk een restant van een oude bodem (Ah-horizont) aanwezig, op een diepte van 100 cm -mv. Gezien de wisselende diepteligging van de top van de C-horizont wordt geconcludeerd dat het plangebied in het verleden is vergraven, zoals ook al werd geconcludeerd in het bureauonderzoek. Archeologisch relevante lagen zijn niet meer aanwezig. ADC ArcheoProjecten adviseert om het plangebied vrij te geven voor de voorgenomen ontwikkeling. Het is altijd mogelijk dat tijdens grondwerkzaamheden onverwacht archeologische vondsten aan het licht komen. Het verdient daarom aanbeveling om de uitvoerder van de grondwerkzaamheden te wijzen op de plicht deze zogenoemde toevalsvondsten te melden bij de bevoegde overheid, zoals aangegeven in artikel 5.10 en 5.11 van de Erfgoedwet. De melding dient behalve bij de Rijksdienst voor het Cultureel Erfgoed (RCE) tevens plaats te vinden bij de gemeente Hilversum.
DOI: 10.17026/ar/hcayyg
title: Grote Bos 2 te Geldrop, gemeente Geldrop-Mierlo Een bureauonderzoek en inventariserend veldonderzoek in de vorm van een verkennend booronderzoek

description: Op basis van het bureauonderzoek is een gespecificeerde archeologische verwachting opgesteld. Het plangebied maakt deel uit van het Brabantse dekzandgebied. De natuurlijke bodemopbouw heeft naar verwachting uit veldpodzolgronden bestaan waarop vanaf de Late Middeleeuwen door verrijking van de grond met mest/plaggen een plaggendek is ontstaan. Archeologische resten vanaf het Paleolithicum kunnen worden verwacht, waarbij de resten tot en met de Volle Middeleeuwen in de top van het dekzand voorkomen en door het plaggendek zullen zijn afgedekt. Resten vanaf de Late Middeleeuwen bevinden zich vanaf de top van het plaggendek of zijn (deels) opgenomen in de bouwvoor. Er is dus mogelijk sprake van twee potentiële archeologische niveaus. Tot ongeveer het midden van de vorige eeuw is het plangebied in gebruik geweest als akker, daarna raakte het deels bebouwd, met vanaf 1975 het scholencomplex. Het is onduidelijk in hoeverre deze bebouwing (en de sloop daarvan) voor bodemverstoring heeft gezorgd. Op moment van schrijven is de bebouwing gesloopt en is het plangebied braakliggend, waarbij het maaiveld mogelijk (deels) is geëgaliseerd. Enkele profielen van milieutechnische boringen uit 2020 tonen dat in een deel van het plangebied mogelijk nog een plaggendek of oude bodem aanwezig is. In de meeste boringen is echter alleen geel zand aanwezig, een teken dat de oorspronkelijke bodem is afgegraven. Op basis van bovengeschetste kenmerken bestaan de volgende verwachtingen. Een hoge verwachting voor resten uit het Paleolithicum en Mesolithicum vanwege de relatieve nabijheid van stromend water (Kleine Dommel); een middelhoge verwachting voor resten uit Neolithicum tot en met de Vroege Middeleeuwen vanwege de ligging op een dekzandwelving; een lage verwachting voor de Late Middeleeuwen tot en met Nieuwe tijd vanwege de ligging buiten de dorpskern en het ontbreken van bebouwing op (historische) kaarten. Teneinde de verwachting te toetsen en aan te vullen is in het plangebied een verkennend booronderzoek uitgevoerd. Hieruit bleek dat de ondergrond bestaat uit een C-horizont van dekzand (Formatie van Boxtel), abrupt afgedekt door een verstoord en gehomogeniseerd pakket dat verband houdt met de sloop van de voormalige bebouwing in het plangebied. In boring 1 is boven de natuurlijke afzettingen een slootvulling aanwezig. Deze wordt ook afgedekt door hetzelfde gehomogeniseerde pakket als de overige delen van het plangebied. De ondergrond is in de meeste delen van het plangebied verstoord tot 1,65 m -mv (19,7 m +NAP). Enkel waar geen bebouwing heeft gestaan reikt de verstoring tot 0,40 m -mv (20,40 m +NAP). Aangezien de bodem in het grootste deel van het plangebied is vestoord kan de archeologische verwachting worden bijgesteld naar laag voor alle archeologische periodes.
DOI: 10.5281/zenodo.14870664
title: Dataset for the study: Variable organic matter stoichiometry enhances the biological drawdown of CO2 in the Northwest European shelf seas

description: This dataset supports a study on the effects of variable organic matter stoichiometry on the biological drawdown of CO2 in the Northwest European shelf seas. The study integrates extracellular release (ER) of carbon-enriched organic matter and preferential remineralization (PR) of organic nitrogen and phosphorus into the SCHISM-ECOSMO-CO2 model system. It quantifies the regional impacts of these processes on organic matter cycling and air-sea CO2 exchange, emphasizing the importance of incorporating variable stoichiometry in biogeochemical models.

All data used to create the figures in the manuscript are included. The data is provided as numpy arrays and organized by the category of the corresponding results for clarity and ease of use.

Cite as: Demir, K. T., Mathis, M., Kossack, J., Liu, F., Daewel, U., Stegert, C., Thomas, H., and Schrum, C.: Variable organic matter stoichiometry enhances the biological drawdown of CO2 in the Northwest European shelf seas, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-3449, 2024.
DOI: 10.5281/zenodo.15525253
title: hydrogen adsorption and its induced deformation on shale: implication for underground hydrogen in shale reservoirs

description: This dataset contains raw and processed data supporting the study of hydrogen adsorption and adsorption-induced deformation in shale. It includes:





Hydrogen adsorption data as a function of pressure, with CO₂ adsorption data included for comparison;




3D CT visualizations of shale samples before and after H₂ exposure, where blue indicates high-density minerals, red indicates pore and fracture space, and gray indicates the shale matrix;




Strain measurements induced by H₂ and CO₂ adsorption, including radial, axial, and volumetric strain under varying pressures.



Data tables, figures, and analysis scripts are included. These materials support the results presented in the related article submitted to Geophysical Research Letters.
DOI: 10.5281/zenodo.15525254
title: hydrogen adsorption and its induced deformation on shale: implication for underground hydrogen in shale reservoirs

description: This dataset contains raw and processed data supporting the study of hydrogen adsorption and adsorption-induced deformation in shale. It includes:





Hydrogen adsorption data as a function of pressure, with CO₂ adsorption data included for comparison;




3D CT visualizations of shale samples before and after H₂ exposure, where blue indicates high-density minerals, red indicates pore and fracture space, and gray indicates the shale matrix;




Strain measurements induced by H₂ and CO₂ adsorption, including radial, axial, and volumetric strain under varying pressures.



Data tables, figures, and analysis scripts are included. These materials support the results presented in the related article submitted to Geophysical Research Letters.
DOI: 10.34740/kaggle/dsv/11968630
title: World Stock Prices ( Daily Updating )
DOI: 10.5519/qd.m44numtn
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (115 records)
DOI: 10.15468/dl.n2bcft
title: Occurrence Download

description: A dataset containing 20563 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia",
 "Year 2000-2025"
 ]
}

 The dataset includes 20563 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003060-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ubfk27
title: Occurrence Download

description: A dataset containing 5774 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((16.503662583638206 48.228000888088346, 16.65814521688032 48.2187718407537, 16.671903868106103 48.32275772412412, 16.517106319205574 48.33200870839004, 16.503662583638206 48.228000888088346))"
 ]
}

 The dataset includes 5774 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003052-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kacta5
title: Occurrence Download

description: A dataset containing 65827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Mycobacterium Lehmann & Neumann, 1896"
 ]
}

 The dataset includes 65827 records from 508 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003058-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15167589
title: Synthetic low- and medium-voltage grids for Switzerland

description: Swiss-PDGs: Synthetic low- and medium-voltage grids for Switzerland

For details on the model used to generate this dataset, please refer to the article "Large-scale generation of geo-referenced power distribution grids from open data with load clustering" (2025), by A. Oneto, B. Gjorgiev, F. Tettamanti, and G. Sansavini, published in Sustainable Energy, Grids and Networks.https://doi.org/10.1016/j.segan.2025.101678
DOI: 10.15468/dl.rdtwzm
title: Occurrence Download

description: A dataset containing 500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Populus euphratica Olivier"
 ]
}

 The dataset includes 500 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003061-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.63njq8
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Astrophytum asterias (Zucc.) Lem."
 ]
}

 The dataset includes 64 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003065-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4qw6hv
title: Occurrence Download

description: A dataset containing 885595 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is BirdMap Data - GPS tracking of Storks, Cranes and birds of prey, breeding in Northern and Eastern Europe"
 ]
}

 The dataset includes 885595 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003067-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8m825v
title: Occurrence Download

description: A dataset containing 34446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptoblepharus Wiegmann, 1834",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 34446 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003063-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25403/upresearchdata.28838936
title: Exploration of how nursing students view their clinical competence during training and focused on students registered for the Regulation No. 171 Diploma in Nursing program

description: This study adopted a qualitative research approach to explore and describe student nurses' views regarding their clinical competence. The participants were chosen through purposive sampling. Face-to-face, semi-structured individual interviews allowed the researcher to explore the views of 12 nursing students. The sample size was determined by data saturation.The six steps of thematic data analysis, as described by Creswell & Creswell, were used to analyse the data and identify themes and sub-themes. The following six themes emerged from conducted individual interviews with R.171 nursing students at a selected NEI in Gauteng province, namely: inadequate clinical exposure, unsuitable situations in clinical facilities, inadequate competency and confidence, discrepancy between theory and practice, discrimination and hierarchies, and lack of preparation for independent practice. These themes further guided the recommendations for nursing management, nursing practice, nursing education, and future research.
DOI: 10.5281/zenodo.15394752
title: Synthetic water level, wave and wind datasets

description: Synthetic water level, wave and wind datasets wich contain random values. These are inside root folder (data/data_inputs) and are distributed in the following way:



Water level datasets: These are two files, one (EXMOUTH Jan 22 to Dec 26.txt) for Dawlish and the other (NEWLYN Jan 22 to Dec 26.txt) for Penzance. These are in text format and inside 'water' folder.

Wave datasets: These six datasets are in netcf format and inside 'wave' folder. Wave folder holds two additional folders 'storm_bert' and 'no_overtopping'. 



storm_bert: It holds six wave datasets of Storm Bert.

no_overtopping: It holds six wave datasets of no-overtopping data.



Wind datasets: These are two grib2 datasets inside 'wind' folder. One dataset holds wind direction data (agl_wind-direction-yyyymmdd.grib2) and the other wind speed data (agl_wind-speed-yyyymmdd.grib2). Wind folder holds two additional folders 'storm_bert' and 'no_overtopping'.



storm_bert: It holds two wind datasets of Storm Bert

no_overtopping: It holds two wind datasets of no-overtopping data
DOI: 10.5281/zenodo.15394753
title: Synthetic water level, wave and wind datasets

description: Synthetic water level, wave and wind datasets wich contain random values. These are inside root folder (data/data_inputs) and are distributed in the following way:



Water level datasets: These are two files, one (EXMOUTH Jan 22 to Dec 26.txt) for Dawlish and the other (NEWLYN Jan 22 to Dec 26.txt) for Penzance. These are in text format and inside 'water' folder.

Wave datasets: These six datasets are in netcf format and inside 'wave' folder. Wave folder holds two additional folders 'storm_bert' and 'no_overtopping'. 



storm_bert: It holds six wave datasets of Storm Bert.

no_overtopping: It holds six wave datasets of no-overtopping data.



Wind datasets: These are two grib2 datasets inside 'wind' folder. One dataset holds wind direction data (agl_wind-direction-yyyymmdd.grib2) and the other wind speed data (agl_wind-speed-yyyymmdd.grib2). Wind folder holds two additional folders 'storm_bert' and 'no_overtopping'.



storm_bert: It holds two wind datasets of Storm Bert

no_overtopping: It holds two wind datasets of no-overtopping data
DOI: 10.6084/m9.figshare.28715540
title: Ion Channel–Extracellular Matrix Interplay in Colorectal Cancer: A Network-Based Approach to Tumor Microenvironment Remodeling

description: Ion Channel–Extracellular Matrix Interplay in Colorectal Cancer: A Network-Based Approach to Tumor Microenvironment Remodeling
DOI: 10.15468/dl.jjdtwj
title: Occurrence Download

description: A dataset containing 1013 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material citation, Living Specimen)",
 "Geometry POLYGON((24.823402291850083 45.43567121028902,25.19346808132377 45.43567121028902,25.19346808132377 45.80573699976271,24.823402291850083 45.80573699976271,24.823402291850083 45.43567121028902))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 1952-2025"
 ]
}

 The dataset includes 1013 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003059-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wxdywj
title: Occurrence Download

description: A dataset containing 2767 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (Spain, Portugal)",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f)",
 "TaxonKey is Agalenatea redii (Scopoli, 1763)"
 ]
}

 The dataset includes 2767 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003069-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yf9n63
title: Occurrence Download

description: A dataset containing 2324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "DatasetKey is Odonata Collection of Zoology Museum - Sapienza University",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2324 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003070-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15486831
title: Datasets, Models, and Experimental Results of DehazeSNN: a U-Net-Like Spiking Neural Networks for Single Image Dehazing

description: DehazeSNN is a novel image dehazing framework that combines a U-Net-like architecture with Spiking Neural Networks (SNNs) to address limitations in existing CNN- and Transformer-based methods. By introducing the Orthogonal Leaky-Integrate-and-Fire Block (OLIFBlock), DehazeSNN effectively captures both local and long-range dependencies while reducing computational complexity. Extensive evaluations demonstrate that DehazeSNN achieves competitive performance on standard benchmarks with fewer parameters and lower computational costs. This dataset supports the DehazeSNN paper (to appear in IJCNN 2025) and includes experimental results for two model variants (L and M) on RESIDE-6K, RESIDE-Indoor, RESIDE-Outdoor, and RS-Haze. It provides training logs, performance metrics (loss, PSNR), validation results from the last 20 epochs, and detailed outputs from the best-performing models. The dataset is released under the CC BY 4.0 license. Code and models are available at: https://github.com/HaoranLiu507/DehazeSNN.
DOI: 10.5281/zenodo.15486832
title: Datasets, Models, and Experimental Results of DehazeSNN: a U-Net-Like Spiking Neural Networks for Single Image Dehazing

description: DehazeSNN is a novel image dehazing framework that combines a U-Net-like architecture with Spiking Neural Networks (SNNs) to address limitations in existing CNN- and Transformer-based methods. By introducing the Orthogonal Leaky-Integrate-and-Fire Block (OLIFBlock), DehazeSNN effectively captures both local and long-range dependencies while reducing computational complexity. Extensive evaluations demonstrate that DehazeSNN achieves competitive performance on standard benchmarks with fewer parameters and lower computational costs. This dataset supports the DehazeSNN paper (to appear in IJCNN 2025) and includes experimental results for two model variants (L and M) on RESIDE-6K, RESIDE-Indoor, RESIDE-Outdoor, and RS-Haze. It provides training logs, performance metrics (loss, PSNR), validation results from the last 20 epochs, and detailed outputs from the best-performing models. The dataset is released under the CC BY 4.0 license. Code and models are available at: https://github.com/HaoranLiu507/DehazeSNN.
DOI: 10.5281/zenodo.15519081
title: MEISR USE Data Set

description: This data set is asociated to a study of the use of the MEISR scale by Spanish professionals.
DOI: 10.5281/zenodo.15519082
title: MEISR USE Data Set

description: This data set is asociated to a study of the use of the MEISR scale by Spanish professionals.
DOI: 10.6084/m9.figshare.29119205
title: DrugGEN Resource Collection: Training Data, Model Weights, Generated Molecules, Docking and MD Analyses

description: The DrugGEN dataset repository archives the full training datasets (curated ChEMBL compounds, AKT1 and CDK2 bioactivity records, smiles correction datasets), the pre-trained weight files for all targeted and non-targeted model variants, and all result artefacts—including de novo–generated molecules, docking output tables, and Molecular Dynamics analyses.The repository is organized as follows:<b>data/</b>Raw dataset filesSMILES correction files<b>encoders/</b> — Encoder files for molecular representations<b>decoders/</b> — Decoder files for molecular representations<b>experiments/</b><b>models/</b> — Pre-trained weights (DrugGEN-AKT1, DrugGEN-CDK2, NoTarget)<b>results/</b><b>generated_molecules/</b> — De novo molecules analyzed in the paper<b>docking/</b> — Molecular docking results for de novo molecules from DrugGEN and models compared in the paper<b>MD_Data.zip</b> — MD trajectory data for selected 6 molecules (trajectories can be found at: https://drive.google.com/drive/folders/1aBRoTaacF63RjaOMihx2JpbkS3nGmvaU)<br><br>