cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18520301
title: POLYCYSTIC OVARY SYNDROME (PCOS): MODERN DIAGNOSTIC APPROACHES AND TREATMENT STRATEGIES BASED ON INDIVIDUALIZED CARE

description: Polycystic Ovary Syndrome (PCOS) is one of the most common endocrine disorders among women of reproductive age, characterized by hormonal imbalance, ovulatory dysfunction, and metabolic abnormalities. This study focuses on modern diagnostic methods and individualized treatment strategies for PCOS, emphasizing a patient-centered approach to improve reproductive, metabolic, and psychological outcomes. Early diagnosis and personalized therapy, including lifestyle modifications, pharmacological interventions, and fertility management, play a critical role in reducing complications and enhancing quality of life [1, 2]
DOI: 10.5281/zenodo.18520300
title: POLYCYSTIC OVARY SYNDROME (PCOS): MODERN DIAGNOSTIC APPROACHES AND TREATMENT STRATEGIES BASED ON INDIVIDUALIZED CARE

description: Polycystic Ovary Syndrome (PCOS) is one of the most common endocrine disorders among women of reproductive age, characterized by hormonal imbalance, ovulatory dysfunction, and metabolic abnormalities. This study focuses on modern diagnostic methods and individualized treatment strategies for PCOS, emphasizing a patient-centered approach to improve reproductive, metabolic, and psychological outcomes. Early diagnosis and personalized therapy, including lifestyle modifications, pharmacological interventions, and fertility management, play a critical role in reducing complications and enhancing quality of life [1, 2]
DOI: 10.15468/dl.hdm9bb
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grallaria varia distincta",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018725-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cdzrqt
title: Occurrence Download

description: A dataset containing 9715 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Senecio erucifolius, Senecio erucifolius, Senecio erucifolius, Jacobaea erucifolia)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 9715 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018723-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ag3s9g
title: Occurrence Download

description: A dataset containing 15390 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Conirostrum rufum"
 ]
}

 The dataset includes 15390 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018724-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y33982
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eulalia aurea",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018726-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atuvyk
title: Occurrence Download

description: A dataset containing 481 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diglossa duidae"
 ]
}

 The dataset includes 481 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018728-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9g6n6g
title: Occurrence Download

description: A dataset containing 19444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Senecio jacobaea, Senecio jacobaea, Senecio jacobaea, Senecio jacobaea, Senecio jacobaea, Senecio jacobaea, Jacobaea vulgaris, Jacobaea vulgaris, Jacobaea vulgaris)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 19444 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018730-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rj2y9t
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Granatellus pelzelni paraensis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018729-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18520317
title: IMPACT OF COVID-19 ON DENTAL PRACTICE AND INFECTION CONTROL MEASURES

description: The COVID-19 pandemic has had a profound impact on dental practice worldwide, significantly altering clinical workflows, patient management, and infection control protocols. Due to the high risk of virus transmission through aerosols and close contact during dental procedures, dental professionals were among the most vulnerable healthcare workers. This study examines the impact of COVID-19 on dental services and highlights updated infection control measures implemented to ensure patient and practitioner safety. Enhanced use of personal protective equipment (PPE), pre-appointment screening, aerosol reduction techniques, improved ventilation systems, and strict disinfection protocols have become essential components of modern dental practice. The findings emphasize that the integration of advanced infection control strategies not only reduces the risk of cross-infection but also contributes to the long-term improvement of safety standards in dentistry. Adapting to these changes is crucial for maintaining continuity of care and building patient trust in the post-pandemic era [1, 2].
DOI: 10.15468/dl.nwbnya
title: Occurrence Download

description: A dataset containing 290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eulaliopsis binata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 290 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018732-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhguw6
title: Occurrence Download

description: A dataset containing 496 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Doliornis remseni"
 ]
}

 The dataset includes 496 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018733-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18520316
title: IMPACT OF COVID-19 ON DENTAL PRACTICE AND INFECTION CONTROL MEASURES

description: The COVID-19 pandemic has had a profound impact on dental practice worldwide, significantly altering clinical workflows, patient management, and infection control protocols. Due to the high risk of virus transmission through aerosols and close contact during dental procedures, dental professionals were among the most vulnerable healthcare workers. This study examines the impact of COVID-19 on dental services and highlights updated infection control measures implemented to ensure patient and practitioner safety. Enhanced use of personal protective equipment (PPE), pre-appointment screening, aerosol reduction techniques, improved ventilation systems, and strict disinfection protocols have become essential components of modern dental practice. The findings emphasize that the integration of advanced infection control strategies not only reduces the risk of cross-infection but also contributes to the long-term improvement of safety standards in dentistry. Adapting to these changes is crucial for maintaining continuity of care and building patient trust in the post-pandemic era [1, 2].
DOI: 10.15468/dl.4d6vsu
title: Occurrence Download

description: A dataset containing 671 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Guaruba guarouba",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 671 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018735-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jge3rf
title: Occurrence Download

description: A dataset containing 31105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Senecio ovatus, Senecio ovatus, Senecio ovatus, Senecio ovatus, Senecio fuchsii, Senecio fuchsii, Senecio nemorensis, Senecio nemorensis)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 31105 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018734-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4gaawr
title: Occurrence Download

description: A dataset containing 1826 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Drymophila caudata"
 ]
}

 The dataset includes 1826 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018736-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18519820
title: SuperDARN data in netCDF format (2017-Mar)

description: 2017-Mar SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6374344
title: SuperDARN data in netCDF format (2017-Mar)

description: 2017-Mar SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.gauxx5
title: Occurrence Download

description: A dataset listing the 21974 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-111.32141 30.90511,-109.52276 30.90511,-109.52276 31.89973,-111.32141 31.89973,-111.32141 30.90511))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 21974 records were derived from 786 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018715-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.benvaq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eulaliopsis sykesii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018737-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sg6aez
title: Occurrence Download

description: A dataset containing 7390 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Harpia harpyja",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 7390 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018738-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vkq39z
title: Occurrence Download

description: A dataset containing 6314 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriocnemis derbyi"
 ]
}

 The dataset includes 6314 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018739-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17113554
title: MQTT Traffic Flows

description: This dataset contains 1.66 million flows from 3 of the 6 datasets used in our study:  MQTTSet, GothX_MQTTsetReproduction and CICIoMT. We used the following tools to generate the flows: NTLFlowLyzer, Zeek Flowmeter, Argus

The distribution of the flows is as follows:




Tool
Dataset
# Flows


argus
gothx
38452


zeek
gothx
33132


ntlflowlyzer
gothx
64788


ntlflowlyzer
mqttset
6167


argus
mqttset
7272


zeek
mqttset
3375


zeek
ciciomt
233754


ntlflowlyzer
ciciomt
1007683


argus
ciciomt
269029




 

For reproducibility of the experiments, we also publish the scripts for redoing our clustering experiments.

 

Note:

This repository might be updated once we obtain permission from the other dataset authors to publish flows based on their datasets.
description: Acknowledgement

This work is supported by grant DISCOVERY (PID2023-148716OB-C33) funded by MCIU/AEI/10.13039/501100011033, and by the Comunidad de Madrid (Spain) under the project RAMONES-CM (TEC2024-COM504), co- financed by European Structural Funds (ESF and FEDER). This work is part of the I-Shaper Project (C114/23), a collaboration agreement between Instituto Nacional de Ciberseguridad (INCIBE) and Universidad Carlos III de Madrid. This initiative is being carried out within the framework of the Recovery, Transformation and Resilience Plan funds, funded by the European Union (Next Generation)
DOI: 10.5281/zenodo.17113555
title: MQTT Traffic Flows

description: This dataset contains 1.66 million flows from 3 of the 6 datasets used in our study:  MQTTSet, GothX_MQTTsetReproduction and CICIoMT. We used the following tools to generate the flows: NTLFlowLyzer, Zeek Flowmeter, Argus

The distribution of the flows is as follows:




Tool
Dataset
# Flows


argus
gothx
38452


zeek
gothx
33132


ntlflowlyzer
gothx
64788


ntlflowlyzer
mqttset
6167


argus
mqttset
7272


zeek
mqttset
3375


zeek
ciciomt
233754


ntlflowlyzer
ciciomt
1007683


argus
ciciomt
269029




 

For reproducibility of the experiments, we also publish the scripts for redoing our clustering experiments.

 

Note:

This repository might be updated once we obtain permission from the other dataset authors to publish flows based on their datasets.
description: Acknowledgement

This work is supported by grant DISCOVERY (PID2023-148716OB-C33) funded by MCIU/AEI/10.13039/501100011033, and by the Comunidad de Madrid (Spain) under the project RAMONES-CM (TEC2024-COM504), co- financed by European Structural Funds (ESF and FEDER). This work is part of the I-Shaper Project (C114/23), a collaboration agreement between Instituto Nacional de Ciberseguridad (INCIBE) and Universidad Carlos III de Madrid. This initiative is being carried out within the framework of the Recovery, Transformation and Resilience Plan funds, funded by the European Union (Next Generation)
DOI: 10.15468/dl.xn8p2e
title: Occurrence Download

description: A dataset containing 2490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Senecio paludosus, Jacobaea paludosa)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 2490 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018740-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18520336
title: ENDOCRINE SURGERY: THYROID GLAND OPERATIONS

description: Thyroid surgeries play a crucial role in endocrine surgery. These procedures are effective treatments for thyroid diseases such as nodules, inflammation, and cancer. Surgical techniques and approaches for thyroid operations are continually advancing, improving patient recovery and quality of life. This article discusses the types of thyroid surgeries, their indications, and recent advancements in the field of endocrine surgery [1, 2].
DOI: 10.5281/zenodo.18520337
title: ENDOCRINE SURGERY: THYROID GLAND OPERATIONS

description: Thyroid surgeries play a crucial role in endocrine surgery. These procedures are effective treatments for thyroid diseases such as nodules, inflammation, and cancer. Surgical techniques and approaches for thyroid operations are continually advancing, improving patient recovery and quality of life. This article discusses the types of thyroid surgeries, their indications, and recent advancements in the field of endocrine surgery [1, 2].
DOI: 10.15468/dl.hjy7j9
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Farrago racemosa",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018741-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3nj6cg
title: Occurrence Download

description: A dataset containing 11654 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriocnemis mosquera"
 ]
}

 The dataset includes 11654 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018742-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vdprtv
title: Occurrence Download

description: A dataset containing 406 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 4.045127286108716
 AND decimallatitude &lt;= 8.098015256935714
 AND decimallongitude &gt;= -65.25780903919457
 AND decimallongitude &lt;= -59.958833819396
 AND GBIF_Within('POLYGON ((-59.958834 4.045127, -59.958834 8.098015, -65.257809 8.098015, -65.257809 4.045127, -59.958834 4.045127))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 406 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018727-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18520343
title: Universal Compression SPARC Hardening
DOI: 10.5281/zenodo.18520344
title: Universal Compression SPARC Hardening