cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3gzhy9d6sw
title: Path Tracking Control

description: This dataset contains simulation data of intelligent electric vehicles (IEVs) during path tracking tests, covering three typical operating conditions: straight-line path, double lane-change maneuver, and double sinusoidal trajectory. The data supports the verification and analysis of the proposed path tracking control algorithm, consistent with the simulation scenarios reported in the associated research article.
DOI: 10.17632/3gzhy9d6sw.1
title: Path Tracking Control

description: This dataset contains simulation data of intelligent electric vehicles (IEVs) during path tracking tests, covering three typical operating conditions: straight-line path, double lane-change maneuver, and double sinusoidal trajectory. The data supports the verification and analysis of the proposed path tracking control algorithm, consistent with the simulation scenarios reported in the associated research article.
DOI: 10.17632/jbrfbbmjpd
title: Real or Virtual? A Study on the Impact of Government Advocates on Consumers' Green Behavior Intention

description: Test datasets for the four studies in the research paper named above
DOI: 10.17632/jbrfbbmjpd.1
title: Real or Virtual? A Study on the Impact of Government Advocates on Consumers' Green Behavior Intention

description: Test datasets for the four studies in the research paper named above
DOI: 10.17632/46bk2k9j3v.1
title: Geospatial Coordinates of Hydrological Bodies of the Waki River Basin and Arthur Hill Lake, Maharashtra, India (Google Satellite - Derived)

description: This dataset contains geospatial coordinates of hydrological bodies present in the basins of Waki River and Arthur Hill Lake, located in Maharashtra India. All the hydrological bodies including seasonal river, dry streams or paleo-channels, check dams, mud barrier, lakes formed form regulatory dams, and Pravare river were collected in the dataset. The dataset covers six villages, namely, Jahagirdarwadi, Bari, Pendshet, Chichondi, Murshet, and Panjare.

The dataset generated from manual surveying of hydrological features in the region using Satellite Imagery of Google Map. From each hydrological features, the value of Latitude and Longitude were obtained and saved in excel sheet. For river, path values obtained; for lakes, boundary values obtained; and for check dams, mud barriers, wells & ponds, point values obtained. The dataset contain a set of excel sheets. This includes excel sheets for each Lakes in the region especially Waki Lake, Arthur Hill Lake and Ghatghar Lake, all dry and seasonal section of Waki River, and Pravare River, several dry streams which appeared in HydroSHEDS data, and paleo-channels identified from existence of series of check dams. The data set also contain excel sheet for check dams, mud barriers, and wells & ponds. Along data, geopandas based Python script to generate a topographic map of the region along with above hydrological bodies. Initial code is generated using ChatGPT, then manually modified as per requirements of the study. 

The dataset does not include raw satellite imagery and is derived solely from visual interpretation and coordinate collection of publicly available satellite views. Users are advised to consider scale and temporal limitation of the source imagery when applying the data for quantitative analysis.
DOI: 10.17632/4ky7d39yk7
title: Policy instruments, Administrative Burden and Residents' Willingness in Co-production

description: Residents’ willingness to engage in co-production is closely tied to policy interventions, yet the underlying mechanisms of this relationship remain insufficiently explored. Taking household waste sorting as the observation subject, This study investigates the relationships among policy instruments, administrative burden, and residents' willingness to engage in co-production, with a specific focus on analyzing the mediating role of administrative burden. Using a survey experiment method, this study yields three key findings. First, residents' willingness to participate in different types of co-production varies, exhibiting a gradual decline from passive compliance and active compliance to co-design, co-assessment, and co-delivery. Second, the effects of policy instruments on residents' co-production willingness differ significantly: information publicity tools are the most effective; incentive tools only positively influence active compliance; while prohibitive and directive tools show no significant impact. Third, administrative burden plays a mediating role in the impact of policy instruments on residents' willingness to co-produce. Both information publicity and incentive policy instruments can enhance residents' willingness to engage in co-production by reducing their administrative burden. Governments and communities should fully account for the influence of administrative burden, rationally adjust policy instruments, lower residents’ compliance costs, and mobilize residents in a targeted manner to engage in the co-production of public services.
DOI: 10.17632/4ky7d39yk7.1
title: Policy instruments, Administrative Burden and Residents' Willingness in Co-production

description: Residents’ willingness to engage in co-production is closely tied to policy interventions, yet the underlying mechanisms of this relationship remain insufficiently explored. Taking household waste sorting as the observation subject, This study investigates the relationships among policy instruments, administrative burden, and residents' willingness to engage in co-production, with a specific focus on analyzing the mediating role of administrative burden. Using a survey experiment method, this study yields three key findings. First, residents' willingness to participate in different types of co-production varies, exhibiting a gradual decline from passive compliance and active compliance to co-design, co-assessment, and co-delivery. Second, the effects of policy instruments on residents' co-production willingness differ significantly: information publicity tools are the most effective; incentive tools only positively influence active compliance; while prohibitive and directive tools show no significant impact. Third, administrative burden plays a mediating role in the impact of policy instruments on residents' willingness to co-produce. Both information publicity and incentive policy instruments can enhance residents' willingness to engage in co-production by reducing their administrative burden. Governments and communities should fully account for the influence of administrative burden, rationally adjust policy instruments, lower residents’ compliance costs, and mobilize residents in a targeted manner to engage in the co-production of public services.
DOI: 10.15468/dl.zzkrhr
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tylototriton ngarsuensis"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068512-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rgtf8whd3b
title: Chikungunya and dengue outbreak 2024, Brazil

description: Dataset from dengue and chikungunya outbreak in 2024, Brazil.
DOI: 10.17632/rgtf8whd3b.2
title: Chikungunya and dengue outbreak 2024, Brazil

description: Dataset from dengue and chikungunya outbreak in 2024, Brazil.
DOI: 10.17632/p9w8dkypjg
title: He et al.,2025_data_availability

description: This dataset contains the numerical data underlying all figures presented in the manuscript titled “Adsorptions of Ba2+ on kink sites of calcite (10.4) face control Ba isotope fractionations of biogenic carbonates.” It includes both newly generated data from DFT calculations and compiled previously published Δ138/134Ba fractionation determined for biogenic carbonates. All external data were extracted from peer-reviewed articles and are accompanied by proper citations. No proprietary or unpublished data are included.
DOI: 10.17632/p9w8dkypjg.1
title: He et al.,2025_data_availability

description: This dataset contains the numerical data underlying all figures presented in the manuscript titled “Adsorptions of Ba2+ on kink sites of calcite (10.4) face control Ba isotope fractionations of biogenic carbonates.” It includes both newly generated data from DFT calculations and compiled previously published Δ138/134Ba fractionation determined for biogenic carbonates. All external data were extracted from peer-reviewed articles and are accompanied by proper citations. No proprietary or unpublished data are included.
DOI: 10.17632/7t9d6z4gvv.1
title: La saturación publicitaria digital como factor de rechazo del consumidor: caso de la campaña «Repeat After Me» de Claro Perú (2025) - Conjunto de datos

description: El supuesto de investigación que orienta este conjunto de datos plantea que la saturación publicitaria percibida del jingle «Repeat After Me» genera actitudes negativas hacia la marca Claro Perú en jóvenes adultos de Lima Metropolitana.

El conjunto de datos incluye los resultados de un cuestionario y la transcripción de un grupo focal aplicados a personas de 18 a 39 años residentes en Lima Metropolitana. El cuestionario permitió recopilar información cuantitativa sobre percepción de saturación publicitaria, frecuencia de exposición al jingle, nivel de agrado y actitudes hacia la marca, mientras que el grupo focal profundizó cualitativamente en las percepciones, experiencias y opiniones de los participantes frente a la repetición del jingle «Repeat After Me».

Los datos muestran que una alta percepción de saturación publicitaria está asociada a respuestas actitudinales predominantemente negativas hacia la marca, como cansancio, molestia o rechazo, aunque también se reconoce un alto nivel de recordación del jingle.

El conjunto de datos constituye la base empírica del análisis cuantitativo y cualitativo desarrollado en la investigación y puede ser utilizado en estudios sobre saturación publicitaria, jingles y actitudes de marca. El conjunto no contiene información personal ni datos sensibles.
DOI: 10.17632/7h7fh4k467
title: The association between AIP and prediabetes

description: A collection of health check-up data from 792 middle-aged female participants, including physiological measurements, laboratory tests, and lifestyle information.
DOI: 10.17632/7h7fh4k467.1
title: The association between AIP and prediabetes

description: A collection of health check-up data from 792 middle-aged female participants, including physiological measurements, laboratory tests, and lifestyle information.
DOI: 10.15468/xg93k5
title: First adult record of the barracudina Lestidiops extremus (Ege, 1953), based on a specimen from the Philippines (Teleostei: Paralepididae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ho, Hsuan-Ching, Huang, Chih-Hsiung (2022): First adult record of the barracudina Lestidiops extremus (Ege, 1953), based on a specimen from the Philippines (Teleostei: Paralepididae). Zootaxa 5195 (6): 579-584, DOI: 10.11646/zootaxa.5195.6.6AbstractThe adult morphology of Lestidiops extremus (Ege, 1953), a barracudina originally described based on postlarvae from Indonesia, has long been a mystery. An adult specimen collected from off the Philippines represents the first confirmed record of an adult of this species. Observations on the holotype and a detailed description of the adult are provided. The location of the pelvic-fin origin in the adult, clearly behind the posterior end of the dorsal-fin base, is unique within this genus and the entire subfamily Lestidiinae. The present find extends the known range of the species from northwestern New Guinea, Indonesia, to seas east of the Philippines.
DOI: 10.15468/dl.2m8gkp
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Caragana stenophylla"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068513-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3xxkpdbxpw
title: Depfakes

description: Estas fichas fueron utilizadas durante el proceso de investigación del trabajo de tesis, se recopilo la información sobre comentarios. opiniones y reacciones.
DOI: 10.17632/3xxkpdbxpw.1
title: Depfakes

description: Estas fichas fueron utilizadas durante el proceso de investigación del trabajo de tesis, se recopilo la información sobre comentarios. opiniones y reacciones.
DOI: 10.17632/8zwcj6y9kc
title: Naringenin Inhibits Cellular Senescence and Vascular Calcification via the p53/TOP2A Signaling Axis

description: Supplemental Material – Original Blots
DOI: 10.17632/8zwcj6y9kc.1
title: Naringenin Inhibits Cellular Senescence and Vascular Calcification via the p53/TOP2A Signaling Axis

description: Supplemental Material – Original Blots
DOI: 10.15468/dl.kmhhnh
title: Occurrence Download

description: A dataset containing 7586 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Psilocybe semilanceata"
 ]
}

 The dataset includes 7586 records from 215 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068514-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvdvr4
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is India",
 "DatasetKey is one of (NABU|naturgucker, Moths of Gobuk Village, Upper Siang District, Arunachal Pradesh, India, iNaturalist Research-grade Observations)",
 "HasCoordinate is true",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Continent derived from coordinates, The taxon ID was not found in the checklist)",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (bb646dff-a905-4403-a49b-6d378c2cf0d9, 28eb1a3f-1c15-4a95-931a-4af90ecb574d, ba5d0858-075a-430b-b314-ff1debdfb6ec)",
 "TaxonKey is Maxates thetydaria"
 ]
}

 The dataset includes 19 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068515-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/s798m8mdgm
title: Normal trichoscopic features and hair shaft parameters in healthy women of African descent.

description: This dataset contains supplementary tables from a study describing qualitative trichoscopic features and quantitative hair shaft parameters in healthy women of African descent. The tables include demographic data, qualitative trichoscopic findings by scalp region, and quantitative hair shaft measurements obtained using digital trichoscopy and TrichoLAB®. These data support the findings reported in the associated Brief Report submitted to the Journal of the American Academy of Dermatology.
DOI: 10.17632/s798m8mdgm.1
title: Normal trichoscopic features and hair shaft parameters in healthy women of African descent.

description: This dataset contains supplementary tables from a study describing qualitative trichoscopic features and quantitative hair shaft parameters in healthy women of African descent. The tables include demographic data, qualitative trichoscopic findings by scalp region, and quantitative hair shaft measurements obtained using digital trichoscopy and TrichoLAB®. These data support the findings reported in the associated Brief Report submitted to the Journal of the American Academy of Dermatology.
DOI: 10.17632/tsg9w9g75r
title: UAV-YOLO Model v1

description: This research is based on the hypothesis that object detection performance in UAV-based traffic management systems can be significantly improved by redesigning the YOLOv5s architecture to better address the unique challenges of aerial imagery. These challenges include extremely small object sizes, large scale variation within a single frame, frequent occlusion, and limited onboard computational resources. The study proposes that integrating lightweight convolutional modules, Transformer-based attention mechanisms, enhanced multi-scale feature fusion, and an additional detection head into YOLOv5s can improve detection accuracy particularly for small and densely distributed objects while maintaining real-time inference capability suitable for UAV deployment. To evaluate this hypothesis, a dataset consisting of UAV-captured aerial images and video frames was employed. The data represents realistic traffic environments such as highways, intersections, and urban road networks, containing vehicles, pedestrians, bicycles, and other road users observed from varying altitudes and camera angles. The dataset was sourced from publicly available UAV traffic datasets and further supplemented with additional annotated aerial imagery to ensure diversity in object categories, environmental conditions, object densities, and scale variations. All images were manually annotated using bounding boxes following standard object detection protocols, with particular attention given to small and partially occluded objects that are critical for evaluating UAV-based detection performance.
DOI: 10.17632/tsg9w9g75r.1
title: UAV-YOLO Model v1

description: This research is based on the hypothesis that object detection performance in UAV-based traffic management systems can be significantly improved by redesigning the YOLOv5s architecture to better address the unique challenges of aerial imagery. These challenges include extremely small object sizes, large scale variation within a single frame, frequent occlusion, and limited onboard computational resources. The study proposes that integrating lightweight convolutional modules, Transformer-based attention mechanisms, enhanced multi-scale feature fusion, and an additional detection head into YOLOv5s can improve detection accuracy particularly for small and densely distributed objects while maintaining real-time inference capability suitable for UAV deployment. To evaluate this hypothesis, a dataset consisting of UAV-captured aerial images and video frames was employed. The data represents realistic traffic environments such as highways, intersections, and urban road networks, containing vehicles, pedestrians, bicycles, and other road users observed from varying altitudes and camera angles. The dataset was sourced from publicly available UAV traffic datasets and further supplemented with additional annotated aerial imagery to ensure diversity in object categories, environmental conditions, object densities, and scale variations. All images were manually annotated using bounding boxes following standard object detection protocols, with particular attention given to small and partially occluded objects that are critical for evaluating UAV-based detection performance.
DOI: 10.5281/zenodo.17855266
title: Global Fungal Biodiversity Dataset (FunAqua)

description: Dataset description: 

The FunAqua dataset provides a global overview of fungal biodiversity in aquatic ecosystems using long-read eukaryotic metabarcoding. It includes data from 1,076 sediment samples and 1,299 filtered water samples collected across 1,452 sites in 87 countries.

Sampling and processing followed standardized protocols for water and sediment. Fungal diversity was assessed by targeting the internal transcribed spacer (ITS) region, a widely accepted marker for fungal identification.

High-throughput sequencing and bioinformatic analysis resulted in 50,152 fungal OTUs, representing diverse aquatic fungal communities worldwide.

This dataset is a valuable resource for studies on freshwater fungal ecology, global biodiversity patterns, and ecosystem functioning, supporting research in conservation, biogeography, and environmental monitoring.

FunAqua dataset composition








File name



File function



Description





Funaqua_metadata.tsv

 



Sample data 



Metadata corresponding to each sample





FunAqua_fungi_otu.csv

 



OTU abundance data



Table containing sequence counts of fungal OTUs in each sample





FunAqua_euk_otu.csv

 



OTU abundance data



Table containing sequence counts of non-fungal OTUs in each sample





FunAqua_fungi_tax.csv

 



Taxonomy table 



Table with taxonomic classification data for fungal OTUs





FunAqua_euk_tax.csv

 



Taxonomy table 



Table with taxonomic classification data for non-fungal OTUs





FunAqua_Water chemistry_Data.csv

 



Water chemistry data 



Table containing results of water chemistry analyses





FunAqua_sediment_chemistry.csv

 



Sediment elemental analysis data 



Table containing results of sediment elemental analyses





FunAqua_sediment_chemistry_references.csv

 



Sediment elemental analysis reference data



Includes analyses of calibration ranges for reference data






Data reuse information:

This dataset includes Data Reuse Information (DRI) tags to support equitable data sharing (Hug et al., 2025). The DRI identifies creators who prefer to be contacted before reuse:

DRI: `{0009-0003-8968-6773, 0000-0003-4743-6111}`

Please contact these individuals prior to reuse of the data.

 

Water chemistry data collected by USGS found at Tangen and Bansal (2025)
DOI: 10.5281/zenodo.17855265
title: Global Fungal Biodiversity Dataset (FunAqua)

description: Dataset description: 

The FunAqua dataset provides a global overview of fungal biodiversity in aquatic ecosystems using long-read eukaryotic metabarcoding. It includes data from 1,076 sediment samples and 1,299 filtered water samples collected across 1,452 sites in 87 countries.

Sampling and processing followed standardized protocols for water and sediment. Fungal diversity was assessed by targeting the internal transcribed spacer (ITS) region, a widely accepted marker for fungal identification.

High-throughput sequencing and bioinformatic analysis resulted in 50,152 fungal OTUs, representing diverse aquatic fungal communities worldwide.

This dataset is a valuable resource for studies on freshwater fungal ecology, global biodiversity patterns, and ecosystem functioning, supporting research in conservation, biogeography, and environmental monitoring.

FunAqua dataset composition








File name



File function



Description





Funaqua_metadata.tsv

 



Sample data 



Metadata corresponding to each sample





FunAqua_fungi_otu.csv

 



OTU abundance data



Table containing sequence counts of fungal OTUs in each sample





FunAqua_euk_otu.csv

 



OTU abundance data



Table containing sequence counts of non-fungal OTUs in each sample





FunAqua_fungi_tax.csv

 



Taxonomy table 



Table with taxonomic classification data for fungal OTUs





FunAqua_euk_tax.csv

 



Taxonomy table 



Table with taxonomic classification data for non-fungal OTUs





FunAqua_Water chemistry_Data.csv

 



Water chemistry data 



Table containing results of water chemistry analyses





FunAqua_sediment_chemistry.csv

 



Sediment elemental analysis data 



Table containing results of sediment elemental analyses





FunAqua_sediment_chemistry_references.csv

 



Sediment elemental analysis reference data



Includes analyses of calibration ranges for reference data






Data reuse information:

This dataset includes Data Reuse Information (DRI) tags to support equitable data sharing (Hug et al., 2025). The DRI identifies creators who prefer to be contacted before reuse:

DRI: `{0009-0003-8968-6773, 0000-0003-4743-6111}`

Please contact these individuals prior to reuse of the data.

 

Water chemistry data collected by USGS found at Tangen and Bansal (2025)