cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/tcnh63tpgf.2
title: Architecture and implementation of ulrb algorithm in R, source data

description: This dataset makes available the source data used for all analyses made in the original research article entitled "Architecture and implementation of ulrb algorithm in R", for the journal Ecological Informatics. 

Short description of files:
nice_ASVs.csv - ASV abundance table in long format;
nice_otu_long - OTU abundance table in long format;
nice_otu_wide - OTU abundance table in wide format.

All files correspond to samples collected from seawater of the Arctic Ocean, during the Norwegian Young Sea Ice Expedition, using V4V5 16S rRNA gene amplicon sequencing. 

To use this dataset, please cite: 
- Pascoal, F. et al. (2025) “Definition of the microbial rare biosphere through unsupervised machine learning,” Communications Biology, 8(1), p. 544. Available at: https://doi.org/10.1038/s42003-025-07912-4.
- Pascoal, F. et al. (2022) “Exploration of the Types of Rarity in the Arctic Ocean from the Perspective of Multiple Methodologies,” Microbial Ecology, 84(1), pp. 59–72. Available at: https://doi.org/10.1007/s00248-021-01821-9.
- de Sousa, A.G.G. et al. (2019) “Diversity and Composition of Pelagic Prokaryotic and Protist Communities in a Thin Arctic Sea-Ice Regime,” Microbial Ecology, 78(2), pp. 388–408. Available at: https://doi.org/10.1007/s00248-018-01314-2.
- Granskog, M.A. et al. (2018) “Atmosphere-Ice-Ocean-Ecosystem Processes in a Thinner Arctic Sea Ice Regime: The Norwegian Young Sea ICE (N-ICE2015) Expedition,” Journal of Geophysical Research: Oceans, 123(3), pp. 1586–1594. Available at: https://doi.org/10.1002/2017JC013328.
DOI: 10.15468/dl.x49wgc
title: Occurrence Download

description: A dataset containing 2950 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Prockia P.Browne ex L."
 ]
}

 The dataset includes 2950 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016067-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/73fwhc73ym.1
title: ESI

description: The mass spectrometry data of DOM
DOI: 10.17632/jpxfdj8wfr.1
title: Dataset on the neuropsychological assessment and microbiota analysis of elderly people with Alzheimer's disease and without cognitive impairment

description: The dataset comprises assessments of 25 patients with Alzheimer's disease and 25 healthy elderly controls. Participants were assessed on their cognitive functioning, emotional state, level of functionality, adherence to a Mediterranean lifestyle and gut microbiota composition (abundances). Additionally, descriptive variables such as sex, age, education, smoking status, alcohol consumption and body mass index were also included.
DOI: 10.17632/p78vmz97g7.1
title: CAVI-14: A Real-Time Vehicle Object Image Dataset for Autonomous Driving

description: CAVI-14 (Camera-based Vehicle Image dataset with 14 categories) is a camera-based image dataset designed to support research in real-time object detection for intelligent transportation systems and autonomous driving. The dataset consists of 2,661 high-resolution images, collected using a Samsung Galaxy A15 smartphone camera around a university campus area in South Korea, capturing diverse urban traffic environments. 
The dataset includes 9,082 annotated objects across 14 vehicle-related object classes, specifically:
• Vehicles & Transport: car, bus, pickup, lorry, ambulance, motorcycle, bicycle, e-bike
• Pedestrian & Road Elements: pedestrian, zebra crossing, sidewalk, speed bump, traffic signal, road divider
Each image is annotated with precise bounding boxes. The annotations are provided in two widely-used formats:
• YOLO format (.txt) for real-time detection models
• Pascal VOC format (.xml) for traditional detection pipelines
The dataset is organized into three main directories:
• train folder contains training images and their corresponding annotation files
• test folder contains testing images and annotation files
• annotations folder includes metadata in .xml format (object name, coordinates, image size, etc.)
This structured and standardized format allows researchers to directly use the dataset for training and validating object detection models. A baseline evaluation using the YOLOv5s model achieved promising performance, confirming the dataset's suitability for benchmarking deep learning-based vehicle detection algorithms.
CAVI-14 contributes a diverse and realistic set of labeled street-level traffic images, helping advance computer vision research in traffic monitoring, smart cities, and autonomous navigation.
DOI: 10.17632/y55cynff38.1
title: The Gannon Storm’s Impact on Electric and Magnetic1 Fields in Italy: A Regional Perspective

description: The dataset contains electromagnetic time-series data acquired by the permanent magnetotelluric (MT) monitoring station located on the Gargano Promontory, Italy (GARG), during the Gannon geomagnetic storm. The data provide insight into regional-scale geomagnetic and geoelectric field variations at mid-latitudes and support improved space weather monitoring and hazard mitigation strategies.

The dataset is provided in two formats:

1. ASCII (.txt) Format
Four files contain time-series data of deconvolved magnetic field components (in nanoteslas, nT) and scaled electric field components (in millivolts per kilometer, mV/km), with a temporal resolution of 1 second. The files correspond to four distinct intervals during the geomagnetic storm, as discussed in the associated publication. Each file includes four columns:

Bx: North–South magnetic field

By: East–West magnetic field

Ex: North–South electric field

Ey: East–West electric field 

2. HDF5 (.h5) file in MTH5 format
The file MAY.h5 contains the same time-series data structured according to the MTH5 specification v0.2.0 [Peacock et al., 2022]. MTH5 is an HDF5-based container designed for the archival and exchange of magnetotelluric time-series data. The MTH5 structure is organized into hierarchical groups, with the top-level SurveyID group containing station-specific subgroups (StationID), calibration filters (Filters), and run-specific subgroups (RunID) that include metadata such as geographic location, sampling rate, channel units, and sensor calibration. Data originally acquired with Metronix data loggers were converted to Metronix JSON and ATSS formats, then imported into the MTH5 structure, using the directory structure with full data description.

Further technical information are provided in the accompanying "read me" executable file.


Reference:

Peacock, J. R., Kappler, K., Ronan, T., Heagy, L., Kelbert, A., & Frassetto, A. (2022). MTH5: An archive and exchangeable data format for magnetotelluric time-series data. Computers & Geosciences, 162, 105102. https://doi.org/10.1016/j.cageo.2022.105102
DOI: 10.17632/y55cynff38.2
title: The Gannon Storm’s Impact on Electric and Magnetic1 Fields in Italy: A Regional Perspective

description: The dataset contains electromagnetic time-series data acquired by the permanent magnetotelluric (MT) monitoring station located on the Gargano Promontory, Italy (GARG), during the Gannon geomagnetic storm. The data provide insight into regional-scale geomagnetic and geoelectric field variations at mid-latitudes and support improved space weather monitoring and hazard mitigation strategies.

The dataset is provided in two formats:

1. ASCII (.txt) Format
Four files contain time-series data of deconvolved magnetic field components (in nanoteslas, nT) and scaled electric field components (in millivolts per kilometer, mV/km), with a temporal resolution of 1 second. The files correspond to four distinct intervals during the geomagnetic storm, as discussed in the associated publication. Each file includes four columns:

Bx: North–South magnetic field

By: East–West magnetic field

Ex: North–South electric field

Ey: East–West electric field 

2. HDF5 (.h5) file in MTH5 format
The file MAY.h5 contains the same time-series data structured according to the MTH5 specification v0.2.0 [Peacock et al., 2022]. MTH5 is an HDF5-based container designed for the archival and exchange of magnetotelluric time-series data. The MTH5 structure is organized into hierarchical groups, with the top-level SurveyID group containing station-specific subgroups (StationID), calibration filters (Filters), and run-specific subgroups (RunID) that include metadata such as geographic location, sampling rate, channel units, and sensor calibration. Data originally acquired with Metronix data loggers were converted to Metronix JSON and ATSS formats, then imported into the MTH5 structure, using the directory structure with full data description.

Further technical information are provided in the accompanying "read me" executable file.


Reference:

Peacock, J. R., Kappler, K., Ronan, T., Heagy, L., Kelbert, A., & Frassetto, A. (2022). MTH5: An archive and exchangeable data format for magnetotelluric time-series data. Computers & Geosciences, 162, 105102. https://doi.org/10.1016/j.cageo.2022.105102
DOI: 10.17632/y55cynff38.3
title: The Gannon Storm’s Impact on Electric and Magnetic1 Fields in Italy: A Regional Perspective

description: The dataset contains electromagnetic time-series data acquired by the permanent magnetotelluric (MT) monitoring station located on the Gargano Promontory, Italy (GARG), during the Gannon geomagnetic storm. The data provide insight into regional-scale geomagnetic and geoelectric field variations at mid-latitudes and support improved space weather monitoring and hazard mitigation strategies.

The dataset is provided in two formats:

1. ASCII (.txt) Format
Four files contain time-series data of deconvolved magnetic field components (in nanoteslas, nT) and scaled electric field components (in millivolts per kilometer, mV/km), with a temporal resolution of 1 second. The files correspond to four distinct intervals during the geomagnetic storm, as discussed in the associated publication. Each file includes four columns:

Bx: North–South magnetic field

By: East–West magnetic field

Ex: North–South electric field

Ey: East–West electric field 

2. HDF5 (.h5) file in MTH5 format
The file MAY.h5 contains the same time-series data structured according to the MTH5 specification v0.2.0 [Peacock et al., 2022]. MTH5 is an HDF5-based container designed for the archival and exchange of magnetotelluric time-series data. The MTH5 structure is organized into hierarchical groups, with the top-level SurveyID group containing station-specific subgroups (StationID), calibration filters (Filters), and run-specific subgroups (RunID) that include metadata such as geographic location, sampling rate, channel units, and sensor calibration. Data originally acquired with Metronix data loggers were converted to Metronix JSON and ATSS formats, then imported into the MTH5 structure, using the directory structure with full data description.

Further technical information are provided in the accompanying "read me" executable file.


Reference:

Peacock, J. R., Kappler, K., Ronan, T., Heagy, L., Kelbert, A., & Frassetto, A. (2022). MTH5: An archive and exchangeable data format for magnetotelluric time-series data. Computers & Geosciences, 162, 105102. https://doi.org/10.1016/j.cageo.2022.105102
DOI: 10.17632/hb3p34ytvx.1
title: A Dataset of Lung Ultrasound Images for Automated AI-based Lung Disease Classification

description: This dataset contains a curated benchmark collection of 1,062 labelled lung ultrasound (LUS) images collected from patients at Mulago National Referral Hospital and Kiruddu Referral Hospital in Kampala, Uganda. The images were acquired and annotated by senior radiologists to support the development and evaluation of artificial intelligence (AI) models for pulmonary disease diagnosis. Each image is categorized into one of three classes: Probably COVID-19 (COVID-19), Diseased Lung but Probably Not COVID-19 (Other Lung Disease), and Healthy Lung. The dataset addresses key challenges in LUS interpretation, including inter-operator variability, low signal-to-noise ratios, and reliance on expert sonographers. It is suitable for training and testing convolutional neural network (CNN)-based models for medical image classification tasks, particularly in low-resource settings. The images are provided in standard formats (e.g., PNG or JPEG), along with corresponding labels in structured files (e.g., CSV or JSON). This resource is intended to facilitate research in deep learning for lung ultrasound analysis and contribute to more accessible and robust diagnostic tools in global health.
DOI: 10.15468/dl.s6z985
title: Occurrence Download

description: A dataset containing 5618 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalaria micans Link"
 ]
}

 The dataset includes 5618 records from 289 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016065-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wgwxjxzcbh
title: Research manuscript data

description: Contianed in the data set is the cleaned data set analysed for the research topic Emotional Intelligence and Psychological Adjustment among School Going Adolescents in Uganda and Kenya: The Mediating Role of Perceived Social Support.
DOI: 10.17632/wgwxjxzcbh.1
title: Research manuscript data

description: Contianed in the data set is the cleaned data set analysed for the research topic Emotional Intelligence and Psychological Adjustment among School Going Adolescents in Uganda and Kenya: The Mediating Role of Perceived Social Support.
DOI: 10.17632/4hszps5npx.1
title: Spin structures on low dimensional flat manifolds

description: This dataset contains results of calculations of spin structures on flat manifolds in dimensions up to 6, described in 

R. Lutowski and B. Putrycz. Spin structures on flat manifolds. J. Algebra, 436:277--291, 2015.

The data are stored in JSON format. Every element includes the following fields:
- name: a CARAT name of a Bieberbach group
- holonomy: structure description of its holonomy (point) group 
- orientable: whether it is orientable

In addition, if orientable is "true", the information connected to calculation of spin structures is provided:
- s2name: a CARAT name of a maximal subgroup with 2-group holonomy
- spin: number of spin structures
DOI: 10.17632/kggmrrhkxj.1
title: hydrological data of Keriya River and upper Yellow River

description: hydrological data of the LG station on the Keriya River (1990-2012) and the XH station on the upper Yellow River (1958-1980)
DOI: 10.17632/7rs7ngh876.1
title: Zinc Isotopes Equilibrium Fractionation Induced by α-Al2O3 surface Adsorption and its Implications: A Density Functional Theory Study

description: The data sheets for Figs. 2~9 and S2 of the manuscript entitled “Zinc Isotopes Equilibrium Fractionation Induced by α-Al2O3 surface Adsorption and its Implications: A Density Functional Theory Study”.
DOI: 10.17632/2gbm376hwv
title: Deidentified sample_cyber risks in healthcare and social organisations

description: Cyber risks in healthcare and social organisations: Analysing the relationship between cybersecurity profiles and the opinion of protection of managers.
DOI: 10.17632/2gbm376hwv.1
title: Deidentified sample_cyber risks in healthcare and social organisations

description: Cyber risks in healthcare and social organisations: Analysing the relationship between cybersecurity profiles and the opinion of protection of managers.
DOI: 10.15468/dl.q7hgbv
title: Occurrence Download

description: A dataset containing 4448192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Puccinia circaeae Pers., Tenthredo colon Klug, 1817, Metatropis rufescens (Herrich-Schaeffer, 1835), Erysiphe circaeae L.Junell, Pucciniastrum circaeae (Schumach.) Speg., Mompha terminella Westwood, Ecliptopera silaceata (Denis & Schiffermüller), 1775, Chorebus sylvestris Griffiths, 1967, Slaterocoris breviatus (Knight, 1938), Adelphocoris rapidus (Say, 1832), Chilocorus stigma (Say, 1835), Terellia ruficauda (Fabricius, 1794), Aglais milberti (Godart, 1819), Coloeus monedula (Linnaeus, 1758), Puccinia suaveolens (Pers.) Rostr., Phytomyza cirsii Hendel, 1923, Diplodina cirsii Grove, Phyllosticta cirsii Desm., Cryptodiscus rhopaloides Sacc., Leptosphaeria macrospora (Morthier) Thüm., Leptosphaeria purpurea Rehm, Mollisia clavata Gremmen, Ophiobolus acuminatus (Sowerby) Duby, Nodulosphaeria dolioloides Auersw., Pezizella glareosa Velen., Phoma rubella Cooke, Pyrenopeziza carduorum Rehm, Phomopsis cirsii Grove, Phoma cirsii P.Syd., Tephritis cometa (Loew, 1840), Phanerochaete calotricha (P.Karst.) J.Erikss. & Ryvarden, Mordellistena acuticollis Schilsky, 1895, Erysiphe mayorii S.Blumer, Orobanche reticulata Wallr., Pustula spinulosa (de Bary) Thines, Bremia cirsii (Jacz. ex Uljan.) J.F.Tao & Y.N.Yu, Sitochroa verticalis Linnaeus, 1758, Autographa excelsa (Kretschmar, 1862), Lobesia abscissana (Doubleday, 1850), Lobesia fuligana (Haworth, 1811), Lon taxiles (Edwards, 1881), Sicus ferrugineus (Linnaeus, 1761), Larinus carlinae (A.G.Olivier, 1807), Centrotus cornuta Linnaeus, 1758, Urophora cardui (Linnaeus, 1758), Brenthis daphne (Denis & Schiffermüller), 1775, Hylaeus angustatus (Schenck, 1861), Ectemnius lapidarius (Panzer, 1803), Eupithecia subfuscata (Haworth, 1809), Eristalis anthophorina (Fallén, 1817))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4448192 records from 4619 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016062-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4tknnh
title: Occurrence Download

description: A dataset containing 39267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.56351 39.78284,-4.85571 39.78284,-4.85571 40.06621,-5.56351 40.06621,-5.56351 39.78284))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 2022-2025"
 ]
}

 The dataset includes 39267 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007289-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qn2vrp
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((56.90723 -15.62742,170.09277 -15.62742,170.09277 29.62742,56.90723 29.62742,56.90723 -15.62742))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Strobilanthes crispa (L.) Blume"
 ]
}

 The dataset includes 52 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007290-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cys9ef
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Canadian National Mycological Herbarium",
 "TaxonKey is Fusarium oxysporum Schltdl."
 ]
}

 The dataset includes 169 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007291-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2gctt
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Isodon flexicaulis (C.Y.Wu & H.W.Li) H.Hara",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0264662-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.asda42
title: Occurrence Download

description: A dataset containing 2637 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elephantopus scaber L."
 ]
}

 The dataset includes 2637 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0269890-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t8t93k
title: Occurrence Download

description: A dataset containing 5776 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "StateProvince is Estado de Mexico"
 ]
}

 The dataset includes 5776 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0269121-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8e3k76
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Isodon forrestii (Diels) Kudô",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 21 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0264663-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vxcxsw
title: Occurrence Download

description: A dataset containing 484 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Naemorhedus goral (Hardwicke, 1825)"
 ]
}

 The dataset includes 484 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031310-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3de7nb
title: Occurrence Download

description: A dataset containing 1717 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Brosimum rubescens Taub., Brosimum angustifolium Ducke, Brosimum brevipedunculatum Ducke, Brosimum lanciferum Ducke, Brosimum longistipulatum Ducke, Brosimum paraense Huber, Brosimum platyneurum Ducke, Piratinera paraensis (Huber) Benoist)"
 ]
}

 The dataset includes 1717 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0269140-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h2c29m
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Isodon gibbosus (C.Y.Wu & H.W.Li) H.Hara",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0264665-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.