cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3mdd6e
title: Occurrence Download

description: A dataset containing 423 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "Country is Germany",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 423 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054391-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wpk6nnzdkr.1
title: Synthesis of highly spherical calcium carbonate nanoparticles using air nanobubbles as additives

description: Ultrasamll nanoparticles that simultaneously exhibit narrow size distribution and high circularity are key to enabling multifunctional applications in optoelectronic systems, integrated circuits and robots. Calcium carbonate (CaCO3) nanoparticles are typical nanomaterials with various shapes and sizes have found applications in both science and technology, while controlled synthetic approaches toward nanoparticles with high circularity remain challenging. Herein, we report the synthesis of spherical CaCO3 using air nanobubbles as additives in reactive precipitation. Air nanobubbles (&lt;100 nm, stable &gt;5 days) were generated via a rotating packed bed. During precipitation, these nanobubbles acted as immobile impurities, directing crystal growth. This yielded spherical CaCO3 nanoparticles (6.89±0.75 nm) with calcite structure and exceptional circularity (0.97). In situ liquid-phase TEM revealed the nanobubbles' role in inducing anomalous growth, providing deep insight into spherical nanoparticle synthesis for diverse applications.
DOI: 10.17632/rb5vvx8fww
title: Dataset for gouge particles

description: Coordinates (x and y) of the 1917 gouge particles during shearing
DOI: 10.17632/rb5vvx8fww.1
title: Dataset for gouge particles

description: Coordinates (x and y) of the 1917 gouge particles during shearing
DOI: 10.15468/dl.jpg5sw
title: Occurrence Download

description: A dataset containing 34162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cenchrus ciliaris L."
 ]
}

 The dataset includes 34162 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054392-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rm8t8kmhpj
title: Motorbike Accident Severity Analysis Dataset

description: The dataset used in this study focuses on road traffic accidents involving motorcyclists in Bangladesh. It comprises various attributes related to the biker, road, environmental conditions, and accident outcomes. The dataset contains both categorical and numerical features, making it suitable for both classification and regression analysis.

Key features include:

Biker Attributes: Biker_Age, Biker_Occupation, Biker_Education_Level, Riding_Experience, Daily_Travel_Distance, Talk_While_Riding, Smoke_While_Riding, Wearing_Helmet, Motorcycle_Ownership, Valid_Driving_License.

Bike and Road Conditions: Bike_Condition, Road_Type, Road_condition, Weather, Time_of_Day, Traffic_Density, Speed_Limit, Bike_Speed, Number_of_Vehicles.

Behavioral Factor: Biker_Alcohol.

Target Variable: Accident_Severity (e.g., No Accident, Minor, Moderate, Severe).

The dataset was collected through field surveys and interviews with accident victims and bystanders at various accident sites across Bangladesh. It reflects real-world scenarios and human behavior patterns associated with motorbike accidents, making it valuable for training machine learning models aimed at predicting accident severity and identifying contributing risk factors.
DOI: 10.17632/rm8t8kmhpj.3
title: Motorbike Accident Severity Analysis Dataset

description: The dataset used in this study focuses on road traffic accidents involving motorcyclists in Bangladesh. It comprises various attributes related to the biker, road, environmental conditions, and accident outcomes. The dataset contains both categorical and numerical features, making it suitable for both classification and regression analysis.

Key features include:

Biker Attributes: Biker_Age, Biker_Occupation, Biker_Education_Level, Riding_Experience, Daily_Travel_Distance, Talk_While_Riding, Smoke_While_Riding, Wearing_Helmet, Motorcycle_Ownership, Valid_Driving_License.

Bike and Road Conditions: Bike_Condition, Road_Type, Road_condition, Weather, Time_of_Day, Traffic_Density, Speed_Limit, Bike_Speed, Number_of_Vehicles.

Behavioral Factor: Biker_Alcohol.

Target Variable: Accident_Severity (e.g., No Accident, Minor, Moderate, Severe).

The dataset was collected through field surveys and interviews with accident victims and bystanders at various accident sites across Bangladesh. It reflects real-world scenarios and human behavior patterns associated with motorbike accidents, making it valuable for training machine learning models aimed at predicting accident severity and identifying contributing risk factors.
DOI: 10.15468/dl.q95gea
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthes oblongella Ostrup, 1902",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.0251 -31.3959,30.5701 -30.7329,30.5701 -28.5786,25.5395 -28.5786,25.5395 -32.9007,28.2048 -32.9007,28.5753 -32.6569,29.4902 -31.7517,30.0251 -31.3959))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054394-250525065834625/datasets/export for details.
DOI: 10.17632/yr47xyvbcz
title: numerical results in the paper

description: All codes should be run using MATLAB by create a script with format ".m". This is a code file for figure 2-17 in Section 5 Numerical examples of the paper .
DOI: 10.21410/7e4/d6s449/o57bwo
title: Données sur les décisions collectées (protégé)

description: :unav
DOI: 10.17632/yr47xyvbcz.1
title: numerical results in the paper

description: All codes should be run using MATLAB by create a script with format ".m". This is a code file for figure 2-17 in Section 5 Numerical examples of the paper .
DOI: 10.21410/7e4/d6s449/aecrw2
title: 2023_Codage décisions (protégé)

description: 10 décisions
DOI: 10.21410/7e4/d6s449/khhpjb
title: 2021_Codage décisions (protégé)

description: 11 décisions
DOI: 10.21410/7e4/d6s449/3vpp1v
title: 2022_Codage décisions (protégé)

description: 7 décisions
DOI: 10.5281/zenodo.15691153
title: Cyanobacteria metabarcoding detections Lake St. Clair, MI
DOI: 10.5281/zenodo.15691154
title: Cyanobacteria metabarcoding detections Lake St. Clair, MI
DOI: 10.5281/zenodo.15691193
title: A data-driven energy analysis  framework to support energy  efficiency of the Telecommunication  sector
DOI: 10.5281/zenodo.15691194
title: A data-driven energy analysis  framework to support energy  efficiency of the Telecommunication  sector
DOI: 10.17632/3zg526cw5s
title: Impact of Street Geometry on Pilgrim Thermal Comfort During Heatwaves

description: This dataset supports the research article titled "Impact of Street Geometry on Pilgrim Thermal Comfort During Heatwaves," which investigates the influence of street orientation and geometric configuration on pedestrian thermal comfort along the Parikrama Marg in Govardhan, India. The study was conducted during June 2024, coinciding with a reported heatwave by the Indian Meteorological Department (IMD).

The dataset comprises microclimatic and geometric parameters recorded across four representative segments of the Parikrama path: Jatipura (JA), Radha Kund (RK), Kusum Sarovar (KS), and Puchhari (PU). Each segment differs in orientation, width, aspect ratio (Hs/Wr), sky view factor (SVF), vegetation density, and built mass configuration.

Key climatic parameters include:
Air Temperature (Ta)
Relative Humidity (RH)
Wind Velocity (Wv)
Surface Temperature (Ts)
Global Solar Radiation (G)
Mean Radiant Temperature (Tmrt)

Geometric parameters recorded:
Height-to-Width Ratio (Hs/Wr)
Sky View Factor (SVF)
Building Surface Fraction (BSF)
Vegetation Density Ratio (VDR)
Data was collected at 15-minute intervals between 06:00 and 19:30 at a standardized pedestrian height of 1.2 meters, using calibrated instruments. The PET (Physiologically Equivalent Temperature) index was calculated using RayMan Pro software. The data is organized by street segment, directional alignment, time quadrant (morning to evening), and survey point.

The dataset enables correlation analysis between thermal comfort levels and urban street configurations under heatwave conditions. This research contributes to climate-responsive urban design by emphasizing the role of street orientation, canyon geometry, and vegetation in modulating microclimate and enhancing pedestrian thermal comfort.

This dataset can support urban planners, environmental researchers, and policymakers in designing thermally comfortable and walkable urban environments, especially in heat-stressed Indian cities with composite climates.
DOI: 10.17632/3zg526cw5s.1
title: Impact of Street Geometry on Pilgrim Thermal Comfort During Heatwaves

description: This dataset supports the research article titled "Impact of Street Geometry on Pilgrim Thermal Comfort During Heatwaves," which investigates the influence of street orientation and geometric configuration on pedestrian thermal comfort along the Parikrama Marg in Govardhan, India. The study was conducted during June 2024, coinciding with a reported heatwave by the Indian Meteorological Department (IMD).

The dataset comprises microclimatic and geometric parameters recorded across four representative segments of the Parikrama path: Jatipura (JA), Radha Kund (RK), Kusum Sarovar (KS), and Puchhari (PU). Each segment differs in orientation, width, aspect ratio (Hs/Wr), sky view factor (SVF), vegetation density, and built mass configuration.

Key climatic parameters include:
Air Temperature (Ta)
Relative Humidity (RH)
Wind Velocity (Wv)
Surface Temperature (Ts)
Global Solar Radiation (G)
Mean Radiant Temperature (Tmrt)

Geometric parameters recorded:
Height-to-Width Ratio (Hs/Wr)
Sky View Factor (SVF)
Building Surface Fraction (BSF)
Vegetation Density Ratio (VDR)
Data was collected at 15-minute intervals between 06:00 and 19:30 at a standardized pedestrian height of 1.2 meters, using calibrated instruments. The PET (Physiologically Equivalent Temperature) index was calculated using RayMan Pro software. The data is organized by street segment, directional alignment, time quadrant (morning to evening), and survey point.

The dataset enables correlation analysis between thermal comfort levels and urban street configurations under heatwave conditions. This research contributes to climate-responsive urban design by emphasizing the role of street orientation, canyon geometry, and vegetation in modulating microclimate and enhancing pedestrian thermal comfort.

This dataset can support urban planners, environmental researchers, and policymakers in designing thermally comfortable and walkable urban environments, especially in heat-stressed Indian cities with composite climates.
DOI: 10.15468/dl.ytne6h
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Netherlands, Belgium)",
 "TaxonKey is Amara famelica Zimmermann, 1832"
 ]
}

 The dataset includes 244 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054395-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/p324jvwrtt
title: Research data of manuscript: Utilizing Recycled Carbon from Alkaline Batteries to Fabricate C@MnO₂: A Green Solution for Energy Storage

description: Research data of manuscript: Utilizing Recycled Carbon from Alkaline Batteries to Fabricate C@MnO₂: A Green Solution for Energy Storage
DOI: 10.17632/p324jvwrtt.1
title: Research data of manuscript: Utilizing Recycled Carbon from Alkaline Batteries to Fabricate C@MnO₂: A Green Solution for Energy Storage

description: Research data of manuscript: Utilizing Recycled Carbon from Alkaline Batteries to Fabricate C@MnO₂: A Green Solution for Energy Storage
DOI: 10.17632/gm8s9cwr8n
title: Data for: Shifts in functional traits and biotic interactions of native and alien herbaceous plants along urbanization gradients in wastelands

description: This data set contains all data used for analyzing the effects of urbanization on functional traits and biotic interactions of native and alien herbaceous plants in urban wastelands in Guiyang. It includes the species names, abundances and functional traits of native and alien herbaceous plants and environmental variables in 100 sample plots of wastelands across urban-rural gradients.
DOI: 10.17632/gm8s9cwr8n.1
title: Data for: Shifts in functional traits and biotic interactions of native and alien herbaceous plants along urbanization gradients in wastelands

description: This data set contains all data used for analyzing the effects of urbanization on functional traits and biotic interactions of native and alien herbaceous plants in urban wastelands in Guiyang. It includes the species names, abundances and functional traits of native and alien herbaceous plants and environmental variables in 100 sample plots of wastelands across urban-rural gradients.
DOI: 10.17632/3t9yt3x9vz
title: Supplementary data: Simultaneous monitoring of the human brain, spinal cord, and cauda equina activity for movement control: An fNIRS approach

description: Average functional hemodynamics observed at D = 5 cm in our paper titled "Simultaneous monitoring of the human brain, spinal cord, and cauda equina activity for movement control: An fNIRS approach".
DOI: 10.17632/3t9yt3x9vz.2
title: Supplementary data: Simultaneous monitoring of the human brain, spinal cord, and cauda equina activity for movement control: An fNIRS approach

description: Average functional hemodynamics observed at D = 5 cm in our paper titled "Simultaneous monitoring of the human brain, spinal cord, and cauda equina activity for movement control: An fNIRS approach".
DOI: 10.17632/sp23gbtvsj
title: Language Ecology and Endangerment Dataset for South-South Nigeria

description: This dataset was obtained from a field survey conducted on proper households (those with at least one parent and one child) in the South-South Geopolitical Zone of Nigeria. The dataset, collected between July 2023 and April 2024 using a purposeful sampling method, includes 543 validated responses captured in real-time through an online, electronic survey (e-survey) instrument developed with Google Forms. The survey instrument was synthesised from the United Nations Educational, Scientific, and Cultural Organisation (UNESCO) 2003 Language Vitality and Endangerment (LVE) framework/questionnaire to capture personalised views from households (five per Local Government Area (LGA)) within the language communities. The synthesised instrument makes the dataset suitable for identifying the causal LVE factors, group(s) or agent(s), thereby supporting efficient knowledge extraction and localisation. Also included are data on the speech systems of the languages spoken in these communities–consisting of recorded speech of 108-item Swadesh wordlist, with textual documentation of the gloss, syllable, and tone patterns of each word. The dataset is useful for mining insights into LVE patterns, providing a basis for understanding linguistic trends, changes, interactions over time, and other factors impacting language sustainability. It can also support the analysis of complex linguistic behaviours across language communities.
DOI: 10.17632/sp23gbtvsj.7
title: Language Ecology and Endangerment Dataset for South-South Nigeria

description: This dataset was obtained from a field survey conducted on proper households (those with at least one parent and one child) in the South-South Geopolitical Zone of Nigeria. The dataset, collected between July 2023 and April 2024 using a purposeful sampling method, includes 543 validated responses captured in real-time through an online, electronic survey (e-survey) instrument developed with Google Forms. The survey instrument was synthesised from the United Nations Educational, Scientific, and Cultural Organisation (UNESCO) 2003 Language Vitality and Endangerment (LVE) framework/questionnaire to capture personalised views from households (five per Local Government Area (LGA)) within the language communities. The synthesised instrument makes the dataset suitable for identifying the causal LVE factors, group(s) or agent(s), thereby supporting efficient knowledge extraction and localisation. Also included are data on the speech systems of the languages spoken in these communities–consisting of recorded speech of 108-item Swadesh wordlist, with textual documentation of the gloss, syllable, and tone patterns of each word. The dataset is useful for mining insights into LVE patterns, providing a basis for understanding linguistic trends, changes, interactions over time, and other factors impacting language sustainability. It can also support the analysis of complex linguistic behaviours across language communities.
DOI: 10.15468/dl.wcrvnf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthes oblongella Ostrup, 1902",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.5701 -24.0715,25.5395 -24.0715,25.5395 -28.5786,30.5701 -28.5786,30.5701 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054398-250525065834625/datasets/export for details.
DOI: 10.17632/zjw3v5g3fm
title: Supplementary material - Spatial dynamics of Intimate partner violence in India

description: Intimate partner violence (IPV)—encompassing physical, sexual, and emotional abuse by a husband or male partner—is the most widespread form of gender-based violence against women. In India, about one-third of ever-married women report experiencing IPV. We examined the spatial determinants of IPV using district-level data from NFHS-5 (2019–2021), applying spatial econometric techniques, to identify spatial dependencies and inform targeted, evidence-based policy interventions (Manuscript under submission). This data repository contains supplementary materials detailing the definitions and operationalisation of both outcome and explanatory variables used in the study.
DOI: 10.17632/zjw3v5g3fm.1
title: Supplementary material - Spatial dynamics of Intimate partner violence in India

description: Intimate partner violence (IPV)—encompassing physical, sexual, and emotional abuse by a husband or male partner—is the most widespread form of gender-based violence against women. In India, about one-third of ever-married women report experiencing IPV. We examined the spatial determinants of IPV using district-level data from NFHS-5 (2019–2021), applying spatial econometric techniques, to identify spatial dependencies and inform targeted, evidence-based policy interventions (Manuscript under submission). This data repository contains supplementary materials detailing the definitions and operationalisation of both outcome and explanatory variables used in the study.
DOI: 10.15468/dl.rvw4pj
title: Occurrence Download

description: A dataset containing 65500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-82.34847 27.64416,-82.33256 27.64278,-82.31664 27.64416,-82.30133 27.64828,-82.28722 27.65495,-82.27485 27.66394,-82.26469 27.67489,-82.25714 27.68738,-82.1727 27.86873,-82.16804 27.88229,-82.16646 27.89639,-82.16802 27.91049,-82.17266 27.92405,-82.18952 27.96827,-82.19707 27.98077,-82.20725 27.99172,-82.21965 28.00072,-82.2338 28.0074,-82.24916 28.01152,-82.26513 28.01291,-82.2811 28.01152,-82.35835 27.99135,-82.40662 27.93089,-82.4112 27.81185,-82.41437 27.71378,-82.41287 27.70112,-82.40771 27.68631,-82.40013 27.67448,-82.39006 27.66366,-82.37765 27.65492,-82.36366 27.64842,-82.34847 27.64416))",
 "Year 2023-2025"
 ]
}

 The dataset includes 65500 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054372-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejqv4b
title: Occurrence Download

description: A dataset containing 111978 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Locustellidae",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 111978 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054371-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hksr5
title: Occurrence Download

description: A dataset containing 52059 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Formicidae",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 52059 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054387-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhebw8
title: Occurrence Download

description: A dataset containing 9416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ceratina dupla Say, 1837",
 "Year 1000-2025"
 ]
}

 The dataset includes 9416 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054400-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.su6bgp
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Phymaturus delheyi Avila, Perez, Perez & Morando, 2011"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054402-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p65qnv
title: Occurrence Download

description: A dataset containing 158808 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU.10.13_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 158808 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054384-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.