cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tv9vye
title: Occurrence Download

description: A dataset containing 108 records in GBIF matching the query:

SELECT
countryCode,
 CASE
WHEN "year" &gt;= 1600 AND "year" &lt;= 2024 THEN '1600-2024'
WHEN "year" &gt;= 1600 AND "year" &lt;= 2025 THEN '1600-2025'
ELSE 'other_years'
END AS year_group,
 CASE
WHEN classKey IN ('359') THEN 'mammals'
WHEN classKey IN ('212') THEN 'birds'
WHEN familyKey IN ('1103', '1104', '494', '495', '1105', '496', '497', '1106', '498', '499', '1107', '537', '538', '1153', '547', '1162', '548', '549', '550', '1163', '1164', '1165', '1166', '1167', '1305', '1067', '1306', '1307', '1308', '1068', '1069', '587', '1310', '588', '589', '1311', '1312', '1313', '590', '708', '890', '774', '889', '773', '772', '888', '765', '879') THEN 'bonyfish'
WHEN classKey IN ('131') THEN 'amphibians'
WHEN classKey IN ('216') THEN 'insects'
WHEN classKey IN ('11418114', '11569602', '11592253', '11493978') THEN 'reptiles'
WHEN phylumKey IN ('52') THEN 'molluscs'
WHEN classKey IN ('367') THEN 'arachnids'
WHEN classKey IN ('220', '196') THEN 'floweringplants'
WHEN classKey IN ('194', '244', '228', '282') THEN 'gymnosperms'
WHEN orderKey IN ('392') THEN 'ferns'
WHEN phylumKey IN ('35') THEN 'mosses'
WHEN phylumKey IN ('95') THEN 'sacfungi'
WHEN phylumKey IN ('34') THEN 'basidiomycota'
ELSE 'other'
END AS taxon_group,
 COUNT(*) AS occurrence_count,
 COUNT(DISTINCT speciesKey) AS distinct_species_count
FROM occurrence
WHERE countryCode IN ('BW', 'CO', 'DK', 'AU')
AND "year" &gt;= 1600 AND "year" &lt;= 2025
GROUP BY
countryCode,
 CASE
WHEN "year" &gt;= 1600 AND "year" &lt;= 2024 THEN '1600-2024'
WHEN "year" &gt;= 1600 AND "year" &lt;= 2025 THEN '1600-2025'
ELSE 'other_years'
END,
 CASE
WHEN classKey IN ('359') THEN 'mammals'
WHEN classKey IN ('212') THEN 'birds'
WHEN familyKey IN ('1103', '1104', '494', '495', '1105', '496', '497', '1106', '498', '499', '1107', '537', '538', '1153', '547', '1162', '548', '549', '550', '1163', '1164', '1165', '1166', '1167', '1305', '1067', '1306', '1307', '1308', '1068', '1069', '587', '1310', '588', '589', '1311', '1312', '1313', '590', '708', '890', '774', '889', '773', '772', '888', '765', '879') THEN 'bonyfish'
WHEN classKey IN ('131') THEN 'amphibians'
WHEN classKey IN ('216') THEN 'insects'
WHEN classKey IN ('11418114', '11569602', '11592253', '11493978') THEN 'reptiles'
WHEN phylumKey IN ('52') THEN 'molluscs'
WHEN classKey IN ('367') THEN 'arachnids'
WHEN classKey IN ('220', '196') THEN 'floweringplants'
WHEN classKey IN ('194', '244', '228', '282') THEN 'gymnosperms'
WHEN orderKey IN ('392') THEN 'ferns'
WHEN phylumKey IN ('35') THEN 'mosses'
WHEN phylumKey IN ('95') THEN 'sacfungi'
WHEN phylumKey IN ('34') THEN 'basidiomycota'
ELSE 'other'
END
ORDER BY occurrence_count DESC;


 The dataset's 108 records were derived from 7224 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056424-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15000861
title: Optimized Pressure Sensor Dataset for Driving Posture Recognition (DPR)

description: Dataset Overview

This dataset provides a comprehensive collection of 172,000 pressure maps (64×160 sensors) recorded from 30 participants assuming 20 distinct driving postures. The dataset was developed to enhance Driving Posture Recognition (DPR) using pressure sensor arrays, offering a privacy-preserving, cost-effective, and accurate alternative to camera-based monitoring systems.

This dataset enables sensor array optimization for real-world applications in automated vehicles, driver safety, and ergonomic research by leveraging Machine Learning and Deep Learning techniques.

Key Features



Participants: 30 healthy adults with different anthropometric characteristics (BMI, height, weight).

Acquisition Conditions: Laboratory setup with driving simulator.

Devices: XSENSOR X3 PRO pressure sensor array, ensuring high accuracy (±10%) and fine spatial resolution.

Data: 172,000 labeled pressure maps (64×160 sensors) across 20 postures.

Data types: Raw CSV & PNG formats for both direct analysis and visualization.


Data Collection Methodology



Participants were introduced to the setup and guided through familiarization with the seat.

The operator instructed the participant on the posture to mimic during data collection.

The participant and the operator simultaneously pressed four highlighted points on the matrix before assuming each posture.

Each session lasted approximately 8 minutes per participant. Pressure maps were saved as ‘CSV’ files. A MATLAB script was used to generate grayscale images from the data.


Dataset Structure

📄 README.md📁 Dataset_PNG_Postures.zip├── 📂 P1│   ├── USER_1_p1_im1.png (64×158 grayscale image)│   ├── …│   └──  USER_30_p1_im255.png ├── …└──📂 P20      ├── USER_1_p20_im1.png       ├── …      └──  USER_30_p20_im115.png📁 Dataset_CSV_Users.zip├── User1.csv├── … └── User30.csv

📄 Info_Users.csv

Notes and Recommendations

Data Quality

All recordings have undergone rigorous quality checks to ensure reliability.

General Notes



Participant IDs are pseudonymized for privacy.

The dataset is intended for research and algorithm validation, not clinical applications.


Potential Applications

🚗 Driver Behavior Analysis & Safety Systems – Improve vehicle safety by recognizing fatigue, discomfort, or unsafe driving postures.

📊 Machine Learning & AI Models – Train classification models for real-time driving posture recognition using CNNs, Random Forest, XGBoost, and SVM.

🛋️ Ergonomic & Automotive Seat Design – Optimize seat pressure distribution for improved driver comfort and posture correction.

🔬 Human-Computer Interaction & Smart Wearables – Develop adaptive seating solutions for autonomous vehicles and smart environments.
DOI: 10.5281/zenodo.15000860
title: Optimized Pressure Sensor Dataset for Driving Posture Recognition (DPR)

description: Dataset Overview

This dataset provides a comprehensive collection of 172,000 pressure maps (64×160 sensors) recorded from 30 participants assuming 20 distinct driving postures. The dataset was developed to enhance Driving Posture Recognition (DPR) using pressure sensor arrays, offering a privacy-preserving, cost-effective, and accurate alternative to camera-based monitoring systems.

This dataset enables sensor array optimization for real-world applications in automated vehicles, driver safety, and ergonomic research by leveraging Machine Learning and Deep Learning techniques.

Key Features



Participants: 30 healthy adults with different anthropometric characteristics (BMI, height, weight).

Acquisition Conditions: Laboratory setup with driving simulator.

Devices: XSENSOR X3 PRO pressure sensor array, ensuring high accuracy (±10%) and fine spatial resolution.

Data: 172,000 labeled pressure maps (64×160 sensors) across 20 postures.

Data types: Raw CSV & PNG formats for both direct analysis and visualization.


Data Collection Methodology



Participants were introduced to the setup and guided through familiarization with the seat.

The operator instructed the participant on the posture to mimic during data collection.

The participant and the operator simultaneously pressed four highlighted points on the matrix before assuming each posture.

Each session lasted approximately 8 minutes per participant. Pressure maps were saved as ‘CSV’ files. A MATLAB script was used to generate grayscale images from the data.


Dataset Structure

📄 README.md📁 Dataset_PNG_Postures.zip├── 📂 P1│   ├── USER_1_p1_im1.png (64×158 grayscale image)│   ├── …│   └──  USER_30_p1_im255.png ├── …└──📂 P20      ├── USER_1_p20_im1.png       ├── …      └──  USER_30_p20_im115.png📁 Dataset_CSV_Users.zip├── User1.csv├── … └── User30.csv

📄 Info_Users.csv

📄 Frame_posture_labels.csv

Notes and Recommendations

Data Quality

All recordings have undergone rigorous quality checks to ensure reliability.

General Notes



Participant IDs are pseudonymized for privacy.

The dataset is intended for research and algorithm validation, not clinical applications.


Potential Applications

🚗 Driver Behavior Analysis & Safety Systems – Improve vehicle safety by recognizing fatigue, discomfort, or unsafe driving postures.

📊 Machine Learning & AI Models – Train classification models for real-time driving posture recognition using CNNs, Random Forest, XGBoost, and SVM.

🛋️ Ergonomic & Automotive Seat Design – Optimize seat pressure distribution for improved driver comfort and posture correction.

🔬 Human-Computer Interaction & Smart Wearables – Develop adaptive seating solutions for autonomous vehicles and smart environments.
DOI: 10.5281/zenodo.15199100
title: Optimized Pressure Sensor Dataset for Driving Posture Recognition (DPR)

description: Dataset Overview

This dataset provides a comprehensive collection of 172,000 pressure maps (64×160 sensors) recorded from 30 participants assuming 20 distinct driving postures. The dataset was developed to enhance Driving Posture Recognition (DPR) using pressure sensor arrays, offering a privacy-preserving, cost-effective, and accurate alternative to camera-based monitoring systems.

This dataset enables sensor array optimization for real-world applications in automated vehicles, driver safety, and ergonomic research by leveraging Machine Learning and Deep Learning techniques.

Key Features



Participants: 30 healthy adults with different anthropometric characteristics (BMI, height, weight).

Acquisition Conditions: Laboratory setup with driving simulator.

Devices: XSENSOR X3 PRO pressure sensor array, ensuring high accuracy (±10%) and fine spatial resolution.

Data: 172,000 labeled pressure maps (64×160 sensors) across 20 postures.

Data types: Raw CSV & PNG formats for both direct analysis and visualization.


Data Collection Methodology



Participants were introduced to the setup and guided through familiarization with the seat.

The operator instructed the participant on the posture to mimic during data collection.

The participant and the operator simultaneously pressed four highlighted points on the matrix before assuming each posture.

Each session lasted approximately 8 minutes per participant. Pressure maps were saved as ‘CSV’ files. A MATLAB script was used to generate grayscale images from the data.


Dataset Structure

📄 README.md📁 Dataset_PNG_Postures.zip├── 📂 P1│   ├── USER_1_p1_im1.png (64×158 grayscale image)│   ├── …│   └──  USER_30_p1_im255.png ├── …└──📂 P20      ├── USER_1_p20_im1.png       ├── …      └──  USER_30_p20_im115.png📁 Dataset_CSV_Users.zip├── User1.csv├── … └── User30.csv

📄 Info_Users.csv

📄 Frame_posture_labels.csv

Notes and Recommendations

Data Quality

All recordings have undergone rigorous quality checks to ensure reliability.

General Notes



Participant IDs are pseudonymized for privacy.

The dataset is intended for research and algorithm validation, not clinical applications.


Potential Applications

🚗 Driver Behavior Analysis & Safety Systems – Improve vehicle safety by recognizing fatigue, discomfort, or unsafe driving postures.

📊 Machine Learning & AI Models – Train classification models for real-time driving posture recognition using CNNs, Random Forest, XGBoost, and SVM.

🛋️ Ergonomic & Automotive Seat Design – Optimize seat pressure distribution for improved driver comfort and posture correction.

🔬 Human-Computer Interaction & Smart Wearables – Develop adaptive seating solutions for autonomous vehicles and smart environments.
DOI: 10.15468/dl.4777us
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ardisia mindanaensis Mez"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011875-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e533ug
title: Occurrence Download

description: A dataset containing 349 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Lonicera angustifolia var. myrtillus (Hook.fil. & Thomson) Q.E.Yang, Landrein, Borosova & Osborne"
 ]
}

 The dataset includes 349 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011915-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mdhruf
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ardisia morobeensis Sleumer"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011908-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.25f7dn
title: Occurrence Download

description: A dataset containing 205 species occurrences available in GBIF matching the query:
{
 "SpeciesKey" : [
 "is Pterocarpus santalinus L.f."
 ]
}

 The dataset includes 205 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011871-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6rejmw
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diplotaxis saharensis (Coss.) Mart.-Laborde"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061644-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4cszvv
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gobius cobitis Pallas, 1814",
 "Year 1000-1900"
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061623-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ycjbaw
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ardisia milneensis C.M.Hu"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011868-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3yqmm
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abeomelomys sevia (Tate & Archbold, 1935)"
 ]
}

 The dataset includes 97 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011895-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h63aba
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ardisia monilipila B.C.Stone"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011896-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a5y9a9
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aporrhiza lastoursvillensis Pellegr."
 ]
}

 The dataset includes 41 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011925-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4kzsv
title: Occurrence Download

description: A dataset containing 1418 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calyceraceae"
 ]
}

 The dataset includes 1418 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122015-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4h3wr4
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aporosa tetragona Tagane & V.S.Dang"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011885-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9x6hz9
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arisaema setosum A.S.Rao & D.M.Verma"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011916-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.78hqxh
title: Occurrence Download

description: A dataset containing 526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Lonicera rupicola var. syringantha (Maxim.) Zabel"
 ]
}

 The dataset includes 526 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011928-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2xp5e
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ardisia muluensis B.C.Stone"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011922-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4uyb63
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dontostemon perennis C.A.Mey."
 ]
}

 The dataset includes 157 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061671-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nc6ndz
title: Occurrence Download

description: A dataset containing 68981 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Elodea nuttallii (Planch.) H.St.John",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 68981 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009757-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gcwjzs
title: Occurrence Download

description: A dataset containing 2697 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dithyrea californica Harv."
 ]
}

 The dataset includes 2697 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061660-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wp2ad2
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diptychocarpus strictus (Fisch. ex M.Bieb.) Trautv."
 ]
}

 The dataset includes 177 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061659-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2x2e2e
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dontostemon senilis Maxim."
 ]
}

 The dataset includes 107 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061674-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzxfz5
title: Occurrence Download

description: A dataset containing 65830 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diplotaxis tenuifolia (L.) DC."
 ]
}

 The dataset includes 65830 records from 712 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061650-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z45cjp
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Draba abajoensis Windham & Al-Shehbaz"
 ]
}

 The dataset includes 21 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061680-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z58p8x
title: Occurrence Download

description: A dataset containing 1519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CAN",
 "TaxonKey is Ochotona princeps (Richardson, 1828)"
 ]
}

 The dataset includes 1519 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061672-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u3k3ma
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pantholops hodgsonii (Abel, 1826)"
 ]
}

 The dataset includes 25 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122038-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.297wj2
title: Occurrence Download

description: A dataset containing 5150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "TaxonKey is Fagus crenata Blume"
 ]
}

 The dataset includes 5150 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005887-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.