cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zf9c85
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((9.36005 41.94304,9.36081 41.93976,9.36585 41.94006,9.36419 41.94289,9.36005 41.94304))",
 "OccurrenceStatus is Present",
 "TaxonKey is Testudines"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031578-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xc8vx6
title: Occurrence Download

description: A dataset containing 491027 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is FRA.6.8_1",
 "PublishingOrg is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "Year 2005-2026"
 ]
}

 The dataset includes 491027 records from 299 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031563-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7frty
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cernotina verticalis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031580-260208012135463/datasets/export for details.
DOI: 10.17632/y6v3rtpgps
title: Quantitative sensory testing dataset with capsaicin and menthol sensitization assessing modality-specific sex differences and sensitization effect sizes in 125 healthy volunteers

description: This dataset contains experimental pain threshold measurements and classical pain model data collected from 125 healthy adult volunteers under both baseline and chemically-sensitized conditions. The data were generated using established quantitative sensory testing (QST) protocols, including mechanical (punctate and blunt pressure), thermal (heat and cold), and electrical pain modalities. Sensitization was induced using topical capsaicin (for heat and punctate pressure) and menthol (for cold) to assess pain plasticity and sensitization mechanisms. Each file provides pain threshold profiles, including raw measurements, transformed values for machine learning applications, and comprehensive participant metadata.

File overview:

File 1: exp_pain_data_orig.csv
This file contains the original pain threshold data matrix with 125 rows (subjects) and 9 columns (variables). The first column ("ID") lists arbitrary subject identifiers. Columns 2 through 9 include pain threshold measurements from classical experimental pain models: vonFrey (punctate pressure, log gram von Frey), Heat (thermal, °C), Cold (thermal, °C), Pressure (blunt mechanical, N/m²), Current (electrical, mA), and their sensitized counterparts vonFrey_Capsaicin, Heat_Capsaicin, and Cold_Menthol. Values represent the stimulus intensity at which participants first reported pain, with some measurements reaching technical device limits.

File 2: exp_pain_data_transformed.csv
This file contains the same 125 subjects with 12 columns of transformed pain threshold data prepared for machine learning analyses. It includes eight transformed pain threshold variables (Heat, Pressure, Current, Heat_Capsaicin, Cold, Cold_Menthol, vonFrey, vonFrey_Capsaicin) and three calculated sensitization effect variables (Capsaicin_Effect_Heat, Menthol_Effect_Cold, Capsaicin_Effect_vonFrey). Transformations include signed logarithmic transformation (sign(x) × log(|x| + 1)) applied to all measurements, conditional linear multiple imputation for censored data (left-censored cold thresholds at 0°C, right-censored von Frey thresholds at log(301) mN), and z-score standardization. Sensitization effects were computed as differences between baseline and sensitized log-transformed thresholds.

File 3: exp_pain_metadata.csv
This metadata file includes 125 subjects with six columns. The first column lists subject IDs consistent with files 1 and 2. The second column provides age in years. Column 3 indicates smoking status ("Smoker" or "Nonsmoker"). Column 4 provides biological sex ("Female" or "Male"). Column 5 indicates the experimenter who conducted the measurements ("F" for female tester, "M" for male tester). Column 6 ("TrainingValidation") indicates assignment to training or validation sets, determined through optimal distribution-preserving downsampling (80% training, 20% validation).

All data are anonymized and formatted for reproducibility and secondary analysis.
DOI: 10.17632/y6v3rtpgps.1
title: Quantitative sensory testing dataset with capsaicin and menthol sensitization assessing modality-specific sex differences and sensitization effect sizes in 125 healthy volunteers

description: This dataset contains experimental pain threshold measurements and classical pain model data collected from 125 healthy adult volunteers under both baseline and chemically-sensitized conditions. The data were generated using established quantitative sensory testing (QST) protocols, including mechanical (punctate and blunt pressure), thermal (heat and cold), and electrical pain modalities. Sensitization was induced using topical capsaicin (for heat and punctate pressure) and menthol (for cold) to assess pain plasticity and sensitization mechanisms. Each file provides pain threshold profiles, including raw measurements, transformed values for machine learning applications, and comprehensive participant metadata.

File overview:

File 1: exp_pain_data_orig.csv
This file contains the original pain threshold data matrix with 125 rows (subjects) and 9 columns (variables). The first column ("ID") lists arbitrary subject identifiers. Columns 2 through 9 include pain threshold measurements from classical experimental pain models: vonFrey (punctate pressure, log gram von Frey), Heat (thermal, °C), Cold (thermal, °C), Pressure (blunt mechanical, N/m²), Current (electrical, mA), and their sensitized counterparts vonFrey_Capsaicin, Heat_Capsaicin, and Cold_Menthol. Values represent the stimulus intensity at which participants first reported pain, with some measurements reaching technical device limits.

File 2: exp_pain_data_transformed.csv
This file contains the same 125 subjects with 12 columns of transformed pain threshold data prepared for machine learning analyses. It includes eight transformed pain threshold variables (Heat, Pressure, Current, Heat_Capsaicin, Cold, Cold_Menthol, vonFrey, vonFrey_Capsaicin) and three calculated sensitization effect variables (Capsaicin_Effect_Heat, Menthol_Effect_Cold, Capsaicin_Effect_vonFrey). Transformations include signed logarithmic transformation (sign(x) × log(|x| + 1)) applied to all measurements, conditional linear multiple imputation for censored data (left-censored cold thresholds at 0°C, right-censored von Frey thresholds at log(301) mN), and z-score standardization. Sensitization effects were computed as differences between baseline and sensitized log-transformed thresholds.

File 3: exp_pain_metadata.csv
This metadata file includes 125 subjects with six columns. The first column lists subject IDs consistent with files 1 and 2. The second column provides age in years. Column 3 indicates smoking status ("Smoker" or "Nonsmoker"). Column 4 provides biological sex ("Female" or "Male"). Column 5 indicates the experimenter who conducted the measurements ("F" for female tester, "M" for male tester). Column 6 ("TrainingValidation") indicates assignment to training or validation sets, determined through optimal distribution-preserving downsampling (80% training, 20% validation).

All data are anonymized and formatted for reproducibility and secondary analysis.
DOI: 10.5281/zenodo.18710563
title: DENTAL CALCULUS AND ITS EFFECT ON PERIODONTAL TISSUES

description: Dental calculus, commonly known as tartar, is a mineralized form of dental plaque that plays a significant role in the development and progression of periodontal diseases. Its presence on tooth surfaces creates a favorable environment for bacterial accumulation, leading to inflammation of periodontal tissues. This article examines the formation of dental calculus, its impact on periodontal structures, and the clinical consequences associated with its accumulation. The study also discusses preventive and therapeutic strategies aimed at minimizing periodontal damage. The findings confirm that dental calculus is a critical etiological factor in periodontal disease and requires early detection and professional management.
DOI: 10.5281/zenodo.18710562
title: DENTAL CALCULUS AND ITS EFFECT ON PERIODONTAL TISSUES

description: Dental calculus, commonly known as tartar, is a mineralized form of dental plaque that plays a significant role in the development and progression of periodontal diseases. Its presence on tooth surfaces creates a favorable environment for bacterial accumulation, leading to inflammation of periodontal tissues. This article examines the formation of dental calculus, its impact on periodontal structures, and the clinical consequences associated with its accumulation. The study also discusses preventive and therapeutic strategies aimed at minimizing periodontal damage. The findings confirm that dental calculus is a critical etiological factor in periodontal disease and requires early detection and professional management.
DOI: 10.17632/f268zm5697
title: Suicide Risk Prediction Dataset Based on Behavioral Indicators: Bangladesh Study

description: This dataset presents behavioral data collected for suicide risk prediction research using machine learning approaches. The data were gathered from four major medical institutions in Bangladesh in 2025-2026, including Dhaka Medical College and Hospital, Bangabandhu Sheikh Mujib Medical University, Enam Medical College and Hospital, and Shaheed Tajuddin Ahmad Medical College.

The dataset contains structured behavioral indicators obtained through clinical and survey-based methods. It is intended to support research in mental health assessment, risk prediction modeling, and the development of machine learning algorithms for early identification of suicide risk. All data have been collected following appropriate ethical considerations and are provided for academic and research purposes. This resource aims to contribute to data-driven mental health research and predictive analytics in healthcare.
DOI: 10.17632/f268zm5697.2
title: Suicide Risk Prediction Dataset Based on Behavioral Indicators: Bangladesh Study

description: This dataset presents behavioral data collected for suicide risk prediction research using machine learning approaches. The data were gathered from four major medical institutions in Bangladesh in 2025-2026, including Dhaka Medical College and Hospital, Bangabandhu Sheikh Mujib Medical University, Enam Medical College and Hospital, and Shaheed Tajuddin Ahmad Medical College.

The dataset contains structured behavioral indicators obtained through clinical and survey-based methods. It is intended to support research in mental health assessment, risk prediction modeling, and the development of machine learning algorithms for early identification of suicide risk. All data have been collected following appropriate ethical considerations and are provided for academic and research purposes. This resource aims to contribute to data-driven mental health research and predictive analytics in healthcare.
DOI: 10.15468/dl.yqvrb7
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Portulaca insignis Steyerm."
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093411-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eclpox
title: Occurrence Download

description: A dataset containing 394934761 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 394934761 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002828-171113114016250/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2223k
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025234-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sz6yk6
title: Occurrence Download

description: A dataset containing 705228755 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is e2e717bf-551a-4917-bdc9-4fa0f342c530"
 ]
}

 The dataset includes 705228755 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073940-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ijlupa
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025286-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7gafp
title: Occurrence Download

description: A dataset containing 772 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Freshwater Lamprey Survey Data"
 ]
}

 The dataset includes 772 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000050-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j534wg
title: Occurrence Download

description: A dataset containing 427 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Portulaca kermesina N.E.Br."
 ]
}

 The dataset includes 427 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093412-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zd9nil
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047421-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fppdql
title: Occurrence Download

description: A dataset containing 1419034165 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 1419034165 records from 17376 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000507-170826194755519/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ba6p7x
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Paris polyphylla yunnanensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 158 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020614-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dvkhwj
title: Occurrence Download

description: A dataset containing 16 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 GBIF_WITHIN('POLYGON((115.90637 15.91664,125.76600 15.91664,125.76600 19.85881,115.90637 19.85881,115.90637 15.91664))', occurrence.decimallatitude, occurrence.decimallongitude) = TRUE
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 2447294 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2447294 OR CAST(occurrence.kingdomkey AS INTEGER) = 2447294 OR CAST(occurrence.phylumkey AS INTEGER) = 2447294 OR CAST(occurrence.classkey AS INTEGER) = 2447294 OR CAST(occurrence.orderkey AS INTEGER) = 2447294 OR CAST(occurrence.familykey AS INTEGER) = 2447294 OR CAST(occurrence.genuskey AS INTEGER) = 2447294 OR CAST(occurrence.specieskey AS INTEGER) = 2447294)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 16 records were derived from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020568-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15919272
title: dataset_FearAnxietyDogs2025.sav

description: This dataset accompanies the article "PREDICTORS OF FEAR AND ANXIETY IN COMPANION DOGS: THE ROLE OF CAREGIVER-RELATED VARIABLES", submitted to Animal Behaviour (2025). It includes the anonymised dataset (csv), the SPSS syntax used to perform the statistical analyses.
DOI: 10.5281/zenodo.15947680
title: dataset_FearAnxietyDogs2025.sav

description: This dataset accompanies the article "PREDICTORS OF FEAR AND ANXIETY IN COMPANION DOGS: THE ROLE OF CAREGIVER-RELATED VARIABLES", submitted to Animal Behaviour (2025). It includes the anonymised dataset (csv), the SPSS syntax used to perform the statistical analyses.
DOI: 10.15468/dl.89f8cb
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Panama",
 "TaxonKey is Piper cordulatum"
 ]
}

 The dataset includes 144 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020615-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9fmgv
title: Occurrence Download

description: A dataset containing 10128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Harmonia axyridis",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10128 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020617-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pcbjdf
title: Occurrence Download

description: A dataset containing 520 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Draba sauteri"
 ]
}

 The dataset includes 520 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020616-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12481685
title: Ethereum Price Data Binance API (2017–Now)
DOI: 10.15468/dl.cp785b
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Undaria pinnatifida",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 36 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020619-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gqdf8v
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACT5080"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020620-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3u5huw
title: Occurrence Download

description: A dataset containing 3511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "TaxonKey is one of (Utricularia macrorhiza, Utricularia macrorhiza, Utricularia vulgaris macrorhiza)"
 ]
}

 The dataset includes 3511 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020618-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.djykcr
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Strigosella behboudiana"
 ]
}

 The dataset includes 110 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020623-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.