cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3y4scw
title: Occurrence Download

description: A dataset containing 649 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((131.19885 23.75932,133.74146 44.94777,118.76825 53.14063,97.57986 39.58004,95.31975 19.52164,118.48578 3.1359,131.19885 23.75932))",
 "TaxonKey is Hemiptelea davidii"
 ]
}

 The dataset includes 649 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032296-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y9ute8
title: Occurrence Download

description: A dataset containing 132502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Prochilodus magdalenae",
 "Year 1990-2025"
 ]
}

 The dataset includes 132502 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032259-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.31602
title: User Reviews on VR Application Platform: Rating, Review, and Sentiment Analysis Dataset
title: VR应用平台上用户评论：评分、评论及情感分析数据集

description: This dataset contains user evaluations of a social virtual reality application. The data encompasses detailed user feedback, including review titles, star ratings, review dates, and text comments, comprehensively showcasing users' experiences, satisfaction levels, and common issues encountered while using VRChat on standalone VR devices.
description: This dataset contains user evaluations of a social virtual reality application. The data encompasses detailed user feedback, including review titles, star ratings, review dates, and text comments, comprehensively showcasing users' experiences, satisfaction levels, and common issues encountered while using VRChat on standalone VR devices.
DOI: 10.26199/5dfbfbaffd787
title: Developing the Multimodal Language of Emotions of Low SES Primary Students (LP150100030, 2016-2019)

description: This project planned to broaden the range of resources for students to communicate emotions through speech, writing and images. Such communication is important for social and economic success, particularly for disadvantaged students, and it is now part of the Australian curriculum. However, research shows that teachers are not equipped to teach these new curriculum requirements. The project unites a consortium of schools, visual media experts and policy makers to address this problem. The outcomes include innovative approaches to strengthen students' language skills for emotional expression and wellbeing, and e-learning resources for both teachers and students
DOI: 10.15468/dl.wgykrx
title: Occurrence Download

description: A dataset containing 335365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON((83 27, 85 27, 85 28, 83 28, 83 27))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 335365 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032222-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrp9c8
title: Occurrence Download

description: A dataset containing 171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((126.67866 28.27953,110.29293 43.81772,95.31975 38.16748,95.03725 20.65172,120.18081 14.15393,126.67866 28.27953))",
 "TaxonKey is Ulmus castaneifolia"
 ]
}

 The dataset includes 171 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032299-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17380898
title: My Seizure Gauge Long-term Wearable Data

description: Eleven participants with epilepsy were recruited for continuous monitoring, capturing heart rate and step count via wrist-worn devices and seizures via electroencephalography (average recording duration of 337 days). Wearable devices used for recording incliuded the Empatica E4 and the Fitbit Charge HR. EEG confirmation of seizures was accomplished using implanted clinical or research devices. The majority of patients had NeuroPace RNS devices, with patients screened carefully to ensure long episode records fully covered the interval between data uploads and contained some non-seizure recordings. Other participants were monitored for seizures using the investigational Medtronic Summit RC+S.
DOI: 10.5281/zenodo.17380899
title: My Seizure Gauge Long-term Wearable Data

description: Eleven participants with epilepsy were recruited for continuous monitoring, capturing heart rate and step count via wrist-worn devices and seizures via electroencephalography (average recording duration of 337 days). Wearable devices used for recording incliuded the Empatica E4 and the Fitbit Charge HR. EEG confirmation of seizures was accomplished using implanted clinical or research devices. The majority of patients had NeuroPace RNS devices, with patients screened carefully to ensure long episode records fully covered the interval between data uploads and contained some non-seizure recordings. Other participants were monitored for seizures using the investigational Medtronic Summit RC+S.
DOI: 10.5281/zenodo.17605201
title: Underwater images collected by a Kite surf in Le-Morne, Mauritius - 2018-03-12

description: This dataset was collected by a Kite surf in Le-Morne, Mauritius - 2018-03-12. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
DOI: 10.3886/e240282
title: Provisional COVID-19 Deaths by Race and Hispanic Origin, and Age

description: Dataset on deaths involving COVID-19, pneumonia, and influenza reported to NCHS by race, age, and jurisdiction of occurrence.<br>
DOI: 10.3886/e240282v1
title: Provisional COVID-19 Deaths by Race and Hispanic Origin, and Age

description: Dataset on deaths involving COVID-19, pneumonia, and influenza reported to NCHS by race, age, and jurisdiction of occurrence.<br>
DOI: 10.15468/dl.48smyc
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((127.24367 28.84454,111.98799 41.55761,95.88473 33.08225,97.57986 15.84897,120.18078 11.8938,127.24367 28.84454))",
 "TaxonKey is Ulmus changii"
 ]
}

 The dataset includes 120 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032300-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.31604
title: VR Application User Reviews: Rating, Review, and Sentiment Analysis Code Dataset
title: VR应用用户评论：评分、评论及情感分析代码数据集

description: This dataset contains coded user evaluations of virtual reality applications. The data includes detailed user feedback extraction codes, encompassing review titles, star ratings, review dates, and textual comments. It comprehensively demonstrates how to utilize code to extract users' experiences, satisfaction levels, and common issues encountered while using VRChat on standalone VR devices.
description: This dataset contains coded user evaluations of virtual reality applications. The data includes detailed user feedback extraction codes, encompassing review titles, star ratings, review dates, and textual comments. It comprehensively demonstrates how to utilize code to extract users' experiences, satisfaction levels, and common issues encountered while using VRChat on standalone VR devices.
DOI: 10.34740/kaggle/dsv/13725979
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.57760/sciencedb.31664
title: Data from the AI Usage Survey Experiment in 2025
title: AI使用调查实验2025年数据

description: There is a debate over intellectual property and ownership of Artificial Intelligence Generated Content (AIGC), with scholars focusing on the originality and authorship of AIGC. This article intends to explore users' perception and path mechanism of AIGC ownership from the perspective of psychological ownership through experimental methods, and to assist users in annotating AI attribution rights through soft methods. Experiment 1 adopts a mixed experimental design of 3 (creative subject) × 2 (creative uniqueness), with 106 participants. Experiment 2 adopts a mixed design of 2 (prompt word format) × 2 (information disclosure) × 2 (creative uniqueness), with the dependent variables being users' psychological ownership of AIGC and AI attribution intention. The number of participants is 135. 
description: There is a debate over intellectual property and ownership of Artificial Intelligence Generated Content (AIGC), with scholars focusing on the originality and authorship of AIGC. This article intends to explore users' perception and path mechanism of AIGC ownership from the perspective of psychological ownership through experimental methods, and to assist users in annotating AI attribution rights through soft methods. Experiment 1 adopts a mixed experimental design of 3 (creative subject) × 2 (creative uniqueness), with 106 participants. Experiment 2 adopts a mixed design of 2 (prompt word format) × 2 (information disclosure) × 2 (creative uniqueness), with the dependent variables being users' psychological ownership of AIGC and AI attribution intention. The number of participants is 135.
DOI: 10.57760/sciencedb.31438
title: Aurelia coerulea single-cell data of Spot ocelli and Cup ocelli
title: Aurelia coerulea single-cell data

description: Aurelia coerulea single-cell data HYCO-HYSO
description: Aurelia coerulea single-cell data HYCO-HYSO
DOI: 10.57760/sciencedb.31639
title: Molecular database based on paraffin oxidation pyrolysis
title: Molecular database based on paraffin oxidation pyrolysis

description: This database system contains molecular dynamics simulation data of oxidative pyrolysis for three paraffin models (Simu1-Simu3) under temperature gradients ranging from 2100K to 2500K. The trajectory data includes heating processes (every 4000 atomic configuration frames simulated) and isothermal pyrolysis processes (every 6000 atomic configuration frames simulated), cumulatively generating 150,000 high-resolution atomic trajectory frames (3 models × 5 temperature points × 10,000 frames/simulation). Post-processing trajectory data covers 10 types of files/simulation, including reaction networks, species statistics, and reaction pathway analyses, totaling 150 standardized analysis files (formats include interactive .html reports, .csv species concentration tables, and .json reaction topology files). The raw trajectory and post-processed data amount to approximately 141 GB in total, stored in a hierarchical directory structure (example path: Simu1/2200K/thermostat/frames-thermostat/), comprehensively documenting the chemical bond evolution and radical reaction pathways of paraffin under high-temperature conditions.
description: This database system contains molecular dynamics simulation data of oxidative pyrolysis for three paraffin models (Simu1-Simu3) under temperature gradients ranging from 2100K to 2500K. The trajectory data includes heating processes (every 4000 atomic configuration frames simulated) and isothermal pyrolysis processes (every 6000 atomic configuration frames simulated), cumulatively generating 150,000 high-resolution atomic trajectory frames (3 models × 5 temperature points × 10,000 frames/simulation). Post-processing trajectory data covers 10 types of files/simulation, including reaction networks, species statistics, and reaction pathway analyses, totaling 150 standardized analysis files (formats include interactive .html reports, .csv species concentration tables, and .json reaction topology files). The raw trajectory and post-processed data amount to approximately 141 GB in total, stored in a hierarchical directory structure (example path: Simu1/2200K/thermostat/frames-thermostat/), comprehensively documenting the chemical bond evolution and radical reaction pathways of paraffin under high-temperature conditions.
DOI: 10.5281/zenodo.17601109
title: Data for "Crouching Code, Hidden Vulnerabilities: Exposing the Security Debt of LLM Progress"

description: Title: Data for Crouching Code, Hidden Vulnerabilities: Exposing the Security Debt of LLM Progress

Description: This repository contains raw data, analysis scripts, and supplementary tables for our paper "Crouching Code, Hidden Vulnerabilities: Exposing the Security Debt of LLM Progress" submitted to IEEE Symposium on Security and Privacy (S&P) 2026.

The supplementary materials include:



supplemental tables.pdf: Detailed numbers regarding functionality, security vulnerabilities, and code complexity broken up by security prompting strategy.

complexity.txt: Raw data used for complexity analysis

com.py: complexity analysis script

Security Analysis.xlsx: Raw data used for security analysis

LLM-sec-main.zip: Output Python scripts for each model that were used for the evaluations of Phase 1

raw-data.zip: Output Python scripts for each model that were used for the evaluations of Phase 2&3

Func+Consistency.pdf: Raw data used for functionality (# of revisions) and consistency analysis
DOI: 10.5281/zenodo.17601110
title: Data for "Crouching Code, Hidden Vulnerabilities: Exposing the Security Debt of LLM Progress"

description: Title: Data for Crouching Code, Hidden Vulnerabilities: Exposing the Security Debt of LLM Progress

Description: This repository contains raw data, analysis scripts, and supplementary tables for our paper "Crouching Code, Hidden Vulnerabilities: Exposing the Security Debt of LLM Progress" submitted to IEEE Symposium on Security and Privacy (S&P) 2026.

The supplementary materials include:



supplemental tables.pdf: Detailed numbers regarding functionality, security vulnerabilities, and code complexity broken up by security prompting strategy.

complexity.txt: Raw data used for complexity analysis

com.py: complexity analysis script

Security Analysis.xlsx: Raw data used for security analysis

LLM-sec-main.zip: Output Python scripts for each model that were used for the evaluations of Phase 1

raw-data.zip: Output Python scripts for each model that were used for the evaluations of Phase 2&3

Func+Consistency.pdf: Raw data used for functionality (# of revisions) and consistency analysis
DOI: 10.57760/sciencedb.31727
title: Financial inclusion, economic growth and institutional quality in SSA
title: Financial inclusion, economic growth and institutional quality in SSA

description: Dataset comprises annual data on financial inclusion, economic growth, institutional quality and other macroeconomic indicators.
description: Dataset comprises annual data on financial inclusion, economic growth, institutional quality and other macroeconomic indicators.
DOI: 10.15468/dl.a9jsdd
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Nymphaea guineensis"
 ]
}

 The dataset includes 47 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032301-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f56n6s
title: Occurrence Download

description: A dataset containing 4594 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((160.29765 47.77289,125.54861 58.50842,97.86237 56.81329,93.62469 28.56204,97.01479 13.8714,128.93868 7.65612,154.92992 27.43198,160.29765 47.77289))",
 "TaxonKey is Ulmus davidiana"
 ]
}

 The dataset includes 4594 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032302-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.31726
title: Nurse Work Environment, Organizational Commitment, and Core Competency Data Set
title: Nurse Work Environment, Organizational Commitment, and Core Competency Data Set

description: The data includes the basic information of 1600 nurses, as well as the scores for 31 items across 5 dimensions related to the nursing work environment, 25 items across 5 dimensions related to organizational commitment, and 55 items across 7 dimensions related to the core competencies of nurses.
description: The data includes the basic information of 1600 nurses, as well as the scores for 31 items across 5 dimensions related to the nursing work environment, 25 items across 5 dimensions related to organizational commitment, and 55 items across 7 dimensions related to the core competencies of nurses.
DOI: 10.57760/sciencedb.31707
title: Antioxidant and Antibiofilm
title: Antioxidant and Antibiofilm

description: Antioxidant and antibiofilm
description: Antioxidant and antibiofilm
DOI: 10.57760/sciencedb.31560
title: Questionnaire on Residents' Attitudes Towards Technology Ethics and the Measurement of AI Ethical Awareness
title: 关于居民对科技伦理的态度调查和人工智能伦理意识测量的问卷调查

description: This is a survey questionnaire on residents' attitudes towards technology ethics and the measurement of artificial intelligence ethics awareness. The questionnaire collected data from 713 community residents, with ages ranging from under 20 to over 60 (including 373 males and 340 females). The main age group is 20 - 40 years old, with a total of 339 people, accounting for 47.55%. The age groups of 40 - 60 and over 60 account for 23.56% and 20.76% respectively.
description: This is a survey questionnaire on residents' attitudes towards technology ethics and the measurement of artificial intelligence ethics awareness. The questionnaire collected data from 713 community residents, with ages ranging from under 20 to over 60 (including 373 males and 340 females). The main age group is 20 - 40 years old, with a total of 339 people, accounting for 47.55%. The age groups of 40 - 60 and over 60 account for 23.56% and 20.76% respectively.
DOI: 10.57760/sciencedb.31502
title: Predictive performance data of species distribution models for tropical reef-associated fishes
title: Predictive performance data of species distribution models for tropical reef-associated fishes

description: We obtained a comprehensive list of tropical reef fishes from Parravicini et al. (2013, 2014). We initially considered 6,316 tropical reef fish species distributed across the Atlantic Ocean, the Indian Ocean, the Pacific Ocean, and the Tropical Eastern Pacific. We verified scientific names by cross-referencing the World Register of Marine Species (https://www.marinespecies.org), which provides authoritative taxonomic information for marine organisms.We developed SDMs for tropical reef fish species using opportunistic occurrence records from the Global Biodiversity Information Facility (GBIF.org 2025, retrieved 12 October 2025, available at https://doi.org/10.15468/dl.w7zpa6).
description: We obtained a comprehensive list of tropical reef fishes from Parravicini et al. (2013, 2014). We initially considered 6,316 tropical reef fish species distributed across the Atlantic Ocean, the Indian Ocean, the Pacific Ocean, and the Tropical Eastern Pacific. We verified scientific names by cross-referencing the World Register of Marine Species (https://www.marinespecies.org), which provides authoritative taxonomic information for marine organisms.We developed SDMs for tropical reef fish species using opportunistic occurrence records from the Global Biodiversity Information Facility (GBIF.org 2025, retrieved 12 October 2025, available at https://doi.org/10.15468/dl.w7zpa6).
DOI: 10.57760/sciencedb.31660
title: Hexa-Arm Branched Anion Exchange Membranes
title: 六支化阴离子交换膜

description: Mechanical properties, nuclear magnetic resonance, XAXS，XRD， Battery performance, electrolyzed water performance, alkali stability 
description: Mechanical properties, nuclear magnetic resonance, XAXS，XRD， Battery performance, electrolyzed water performance, alkali stability
DOI: 10.57760/sciencedb.31658
title: Raw 16S data of rhizosphere soil bacteria
title: Raw 16S data of rhizosphere soil bacteria

description: This study aims to investigate the effects of inoculating Acinetobacter on rhizosphere community structure and how it promotes mulberry growth. Five treatment groups were established: CK, BD1, BD2, BD3, and BD4, with six replicates in each group.
description: This study aims to investigate the effects of inoculating Acinetobacter on rhizosphere community structure and how it promotes mulberry growth. Five treatment groups were established: CK, BD1, BD2, BD3, and BD4, with six replicates in each group.
DOI: 10.57760/sciencedb.31710
title: Temperature fitting data of ultrafast laser transient spectra
title: 超快激光瞬态光谱温度拟合数据

description: Collect delay 6 ns delay 50 ns spectral data using a spectrometer and analyze the data. Select some frequency bands to achieve temperature fitting.
description: Collect delay 6 ns delay 50 ns spectral data using a spectrometer and analyze the data. Select some frequency bands to achieve temperature fitting.