cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7kzdj3njg2.1
title: POGIL Undergraduate Chemistry, Mumbai, India

description: The dataset offers a comprehensive analysis of feedback from a Process-Oriented Guided Inquiry Learning (POGIL) activity, encompassing quantitative and qualitative insights into participant experiences. It evaluates confidence in understanding key concepts, identifies challenges with worksheets, and assesses the contribution of activities to learning and skill development. Feedback highlights participant struggles with theoretical questions, numerical problems, graph interpretation, and equation formulation, while also emphasizing the progression of skills from the start to the end of the activity. The dataset captures reflections on group collaboration, critical thinking moments, and suggestions for worksheet improvement, offering a detailed view of the learning process. Additionally, it evaluates the skill and responsiveness of instructors in areas such as communication, time management, and the ability to engage students. Insights into how students used worksheets for exam preparation reveal the relevance of these materials in enhancing recall and application of concepts. This data has numerous applications, including curriculum enhancement, activity design, and assessment support, by helping educators refine worksheets, align activities with learning objectives, and create assessment-linked materials. It also offers actionable feedback for professional development, enabling instructors to address their strengths and areas for growth. For researchers, the dataset serves as a valuable resource for studying active learning methods like POGIL, providing insights into learning barriers, group dynamics, and collaboration. It can inform cross-disciplinary studies, instructional design, and comparative research, contributing to broader explorations of inquiry-based learning. Furthermore, the data's qualitative depth allows for a nuanced understanding of student experiences, enabling other researchers to explore the relationship between teaching strategies, worksheet design, and learning outcomes. This dataset is particularly useful for benchmarking studies in STEM education and tracking the impact of changes in activity design over time. By facilitating a deeper understanding of effective teaching practices, the dataset can be leveraged for both immediate pedagogical improvements and long-term research contributions, providing a foundation for enhancing active learning techniques across diverse educational settings.
DOI: 10.17632/tybrkkg9dr.1
title: From Glibness to Aggressiveness: The Dual Facets of Sociopathic Manipulation

description: This dataset captures behavioral traits related to sociopathic manipulation as assessed through two core dimensions: glibness and aggressiveness. It was collected from 34 participants using the Deenz Antisocial Personality Scale (DAPS-24), which is designed to measure antisocial and manipulative tendencies.

Key Features:

Glibness: Reflects superficial charm and persuasiveness. High scores indicate a propensity to use charm for manipulation.
Aggressiveness: Reflects tendencies to resort to threats, hostility, or coercion when charm fails. High scores indicate a readiness to use aggression as a tactic.
Manipulation Tendency: Combines Glibness and Aggressiveness scores into a single metric, representing the participant's overall tendency toward sociopathic manipulation.
Data Highlights:
Total Participants: 34
Scoring Range: 0–20 for Glibness and Aggressiveness.
Format: CSV file with 4 columns: Participant_ID, Glibness_Score, Aggressiveness_Score, Manipulation_Tendency.
Research Applications:
This dataset is suitable for:

Studying the dual strategies of sociopathic manipulation.

Analyzing correlations between charm and aggression in manipulative behavior.

Validating psychometric tools like the DAPS-24 in the context of sociopathy.
DOI: 10.15468/dl.vtfdsd
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thunnus tonggol (Bleeker, 1851)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 51 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004460-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/n32j46zw95.1
title: contraceptive use

description: contraceptive use
DOI: 10.17632/xwthcxbtjs.1
title: CHRONIC OBSTRUCTIVE PULMONARY DISEASE: AN ANALYSIS OF ONLINE PATIENT TESTIMONY ON INHALED TREATMENT ADHERENCE

description: Research data: 
- List of codes assigned to quotes (inhaled treatment family)
- Inhaled Treatment Network
- Analysis
DOI: 10.17632/xwthcxbtjs.2
title: CHRONIC OBSTRUCTIVE PULMONARY DISEASE: AN ANALYSIS OF ONLINE PATIENT TESTIMONY ON INHALED TREATMENT ADHERENCE

description: Research data: 
- List of codes assigned to quotes (inhaled treatment family)
- Inhaled Treatment Network
- Analysis
DOI: 10.17632/697ht4f65b.1
title: Enriched Traffic Datasets for Madrid

description: -Description of the Research and Data:
This work includes two datasets of traffic in Madrid, "DADAS" and "MLDAS", collected between June 2022 and February 2024. These datasets combine traffic sensor data, weather data, calendar data, road infrastructure data and localization data to facilitate detailed analysis of urban mobility and prediction of traffic patterns.

-DADAS (Descriptive Analysis DAtaSet):
"DADAS" is a dataset oriented towards descriptive analysis, capturing traffic intensity in 15-minute intervals from urban sensors and roads. Data processing includes meticulous cleaning and filtering to remove inconsistencies and outliers. Additionally, the k-means algorithm is used to group data from multiple sensors.

-MLDAS (ML-oriented DAtaSet):
"MLDAS" is designed for predictive analysis and modeling of traffic patterns. Derived from the "DADAS" dataset, this dataset has been processed to include temporal transformations and encoding of categorical and ordinal features, specifically preparing it for advanced machine learning applications.

-Data usage:
These datasets are crucial for infrastructure planning and sustainable traffic policies, providing valuable resources for researchers and urban planners interested in mobility studies and their environmental impact.

For more details, see [Submitted to Data in Brief].
DOI: 10.17632/697ht4f65b.2
title: Enriched Traffic Datasets for Madrid

description: DESCRIPTION OF THE RESEARCH AND DATA:
This work presents the Madrid Traffic Dataset (MTD), a comprehensive resource for the analysis and modeling of traffic patterns in Madrid. The dataset integrates data from traffic sensors, weather observations, calendar information, road infrastructure, and geolocation data to support advanced studies of urban mobility and predictive modeling.

In addition to the core data sources, the dataset includes temporal sequences and a traffic adjacency matrix, enabling the application of time-series analysis and graph-based modeling approaches.

-COMPLETE DATASET:
The complete version of the MTD includes data from 554 traffic sensors distributed across the Madrid region, covering a total of 30 months (from June 2022 to November 2024).

-SUBSET DATASET:
A more compact version derived from the complete dataset, focused on a subset of 300 traffic sensors with 17 months of data (from June 2022 to October 2023). This subset is designed for researchers requiring a lighter dataset.

DATA ORGANIZATION:
The dataset is organized in a main directory containing a subfolder identified by the configuration data hash. This subfolder includes all key components: datasets, temporal sequences, adjacency matrices, and configuration files. The structure ensures that all resources are clearly arranged to facilitate easy access and reproducibility for researchers.

For more details, see [Submitted to IEEE Internet of the Things Journal].
DOI: 10.17632/7zyyg93zv2.1
title: 2023-2024 hypocentral relocation at Campi Flegrei caldera

description: HypoDD output file of the best hypocentral relocation published in:

G. Giacomuzzi, R. Fonzetti, A. Govoni, P. De Gori, C. Chiarabba. Causal
processes of shallow and deep seismicity at Campi Flegrei caldera. Communication
Earth and Environment, (2025).
DOI: 10.15468/dl.jxzsya
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thynnus tonggol Bleeker, 1851",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004462-250123221155621/datasets/export for details.
DOI: 10.17632/kvxw5ypg6g.1
title: AI Readiness and Adoption Among Tertiary Accounting Students in China

description: An online questionnaire comprising 34 items gathering demographic information and perceptions of AIR, PU, BI, and AU was administered to 303 student participants from multiple higher education institutions in mainland China.
DOI: 10.17632/h8d2wdrxzt.1
title: Self-serving Regret: Experimental Evidence from a Reciprocity Game

description: This dataset includes all raw data generated in laboratory experiments conducted in the Behavioral and Experimental Social Science Laboratory (BESSL) at Beijing Foreign Studies University (BFSU), in the spring of 2022. The data was used to study for Self-serving Regret: Experimental Evidence from a Reciprocity Game.
DOI: 10.17632/h8d2wdrxzt.2
title: Self-serving Regret: Experimental Evidence from a Reciprocity Game

description: This dataset includes all raw data generated in laboratory experiments conducted in the Behavioral and Experimental Social Science Laboratory (BESSL) at Beijing Foreign Studies University (BFSU), in the spring of 2022. The data was used to study for Self-serving Regret: Experimental Evidence from a Reciprocity Game.
DOI: 10.17632/h8d2wdrxzt.3
title: Self-serving Regret: Experimental Evidence from a Reciprocity Game

description: This dataset includes all raw data generated in laboratory experiments conducted in the Behavioral and Experimental Social Science Laboratory (BESSL) at Beijing Foreign Studies University (BFSU), in the spring of 2022. The data was used to study for Self-serving Regret: Experimental Evidence from a Reciprocity Game.
DOI: 10.17632/h8d2wdrxzt.4
title: Dataset for Self-serving Regret: Experimental Evidence from a Reciprocity Game

description: This dataset includes all raw data generated in laboratory experiments conducted in the Behavioral and Experimental Social Science Laboratory (BESSL) at Beijing Foreign Studies University (BFSU), in the spring of 2022. The data was used to study for Self-serving Regret: Experimental Evidence from a Reciprocity Game. The paper is now published on Humanities and Social Sciences Communications. Accepted: 17 December 2024; Published: 25 January 2025
DOI: 10.17632/4w4cv9dn9f.1
title: Rhizosphere and bulk soil data

description: Soil biological and chemical indicators of rhizosphere and bulk soil under three salinity levels
DOI: 10.17632/8yth3ybmww.1
title: JAAD Supplemental: Clinical Characteristics and Outcomes of Genital Pyoderma Gangrenosum - a Systematic Review

description: Additional information regarding the article "Clinical Characteristics and Outcomes of Genital Pyoderma Gangrenosum - a Systematic Review," including data table, methods, and PRISMA chart.
DOI: 10.17632/c3czjzkp2t.1
title: LINF_040006200

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/xrw2n58zkh.1
title: LINF_040006500

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/j94ycpp22v.1
title: LINF_040007700

description: Tetratricopeptide repeat domain-contining protein; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.xcwwm8
title: Occurrence Download

description: A dataset containing 263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plectorhinchus cinctus (Temminck & Schlegel, 1843)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 263 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004464-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12731289
title: Field data used in "A field-based estimation of the variability of particle entrainment in coarse-bed rivers"

description: This file is a companion file to "A field-based estimation of the variability of particle entrainment in coarse-bed rivers ", co-authored by Daniel Vázquez-Tarrío, Estrella Carrero-Carralero, Raúl López, Fanny Ville, Damià Vericat and Ramon J. Batalla .

This is a paper published in the Journal of Geophysical Research: Earth Surface, 129 (10) (https://doi.org/10.1029/2024JF007695).

This Excel file contains all the raw data used in this research.
DOI: 10.5281/zenodo.12731290
title: Field data used in "A field-based estimation of the variability of particle entrainment in coarse-bed rivers"

description: This file is a companion file to "A field-based estimation of the variability of particle entrainment in coarse-bed rivers ", co-authored by Daniel Vázquez-Tarrío, Estrella Carrero-Carralero, Raúl López, Fanny Ville, Damià Vericat and Ramon J. Batalla . 

 

This is a manuscript submitted to Journal of Geophysical Research: Earth Surface, which is currently under review. 

 

This Excel file contains all the raw data used in this research.
DOI: 10.5281/zenodo.13283979
title: Field data used in "A field-based estimation of the variability of particle entrainment in coarse-bed rivers"

description: This file is a companion file to "A field-based estimation of the variability of particle entrainment in coarse-bed rivers ", co-authored by Daniel Vázquez-Tarrío, Estrella Carrero-Carralero, Raúl López, Fanny Ville, Damià Vericat and Ramon J. Batalla .

This is a paper published in the Journal of Geophysical Research: Earth Surface, 129 (10) (https://doi.org/10.1029/2024JF007695).

This Excel file contains all the raw data used in this research.
DOI: 10.17632/49mprdtfj7.1
title: LINF_040007900

description: Adenosine monophosphate deaminase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/y57xfv6r7t.1
title: LINF_040008100

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/fyk47fnhfs.1
title: Male Infertility

description: This is a dataset on the causes of male infertility amongst urology outpatients from two hospitals in the Federal Capital Territory, Abuja, Nigeria.
DOI: 10.17632/4cbptmkrb8.1
title: Consumer perception AI-Enabled Healthcare

description: The file contains primary data collected from paper survey from greater Kolkata region in India. It holds variables and response based on consumer perception of AI enabled healthcare services in daily healthcare services. The responses are ordinal in nature and collected via paper survey.
DOI: 10.15468/dl.bzss9j
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "StateProvince is one of (Vermont, New Hampshire, New York, Massachusetts, Rhode Island, Connecticut, Maine)",
 "TaxonKey is Surnia ulula (Linnaeus, 1758)"
 ]
}

 The dataset includes 104 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004465-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vpm97cxh5w.1
title: Controls of gouge heterogeneity on cyclic reactivation of fault-valve systems

description: This dataset is for the manuscript'Controls of gouge heterogeneity on cyclic reactivation of fault-valve systems'.It contains all laboratory shear tests data for gouge-bearing faults and maximum seismic moment data for in this manuscript.
DOI: 10.17632/dt5hj5j792.1
title: The chain mediation effects of automatic thoughts and impulse control on growth mindset and cognitive fusion among junior high school students

description: The Growth Mindset Scale, the self-control scale, the automatic-thought scale and the Cognitive Fusion Questionnaire were employed. The complete scale is also provided in the dataset. The sample consists of junior high school students. We propose three hypotheses regarding the relationship between a growth mindset and cognitive fusion: (1) a growth mindset is negatively correlated with cognitive fusion; (2) Automatic thoughts mediate the relationship between growth mindset and cognitive fusion; (3) Impulse control mediates the relationship between growth mindset and cognitive fusion; and (4) Automatic thoughts-impulse control mediated the relationship between a growth mindset and cognitive fusion.
DOI: 10.15468/dl.m4cvrv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Diagramma cinctum Temminck & Schlegel, 1843",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004466-250123221155621/datasets/export for details.
DOI: 10.17632/kgzfp5xmc4.1
title: Local Workforces and Expatriate Managers’ Encounter: Cultural Value, Work Ethics, and Discipline Differences in Kombolcha Industrial Park, Ethiopia

description: the data on Local Workforces and Expatriate Managers’ Encounter: Cultural Value, Work Ethics, and Discipline Differences in Kombolcha Industrial Park, Ethiopia”, has been collected from Kombolcha south wollo in Kombolcha industrial park
DOI: 10.17632/hgc6jb2zcv.1
title: Data for: Generation of nickel laterites on ultramafic rocks enhanced by vegetation

description: Raw data for all figures in the manuscript authored by Ruolin Liu, titled "Generation of Nickel Laterites on Ultramafic Rocks Enhanced by Vegetation," submitted for publication in Geochimica et Cosmochimica Acta.
DOI: 10.15468/dl.4sn6q2
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ariosoma meeki (Jordan & Snyder, 1900)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 95 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004468-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5mw5hvfyjy
title: EFJ

description: EFJ
DOI: 10.17632/5mw5hvfyjy.1
title: EFJ

description: EFJ
DOI: 10.15468/dl.5gnfsd
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ariosoma anago (Temminck & Schlegel, 1846)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 40 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004470-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rnrd8f7bxb.1
title: Data and code for the paper: "Soil Aptitude for Livestock (SAFL): A Dataset for Brazilian Municipalities"

description: 1. Step 1 (step1.py): Generates an image illustrating how to identify and classify soil composition on a municipality-by-municipality basis.

2. Step 2 (step2.py): Calculates the SAFL index for each municipality and stores the resulting data frame as a `.shp` file in the `output` folder.

3. Step 3 (step3.py): Uses the previously created database to produce a map of Brazil, highlighting the municipalities most suitable for livestock production.
DOI: 10.15468/dl.kz2u62
title: Occurrence Download

description: A dataset containing 10094 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Vascular plants on Surtsey 1965-1990, point distribution data"
 ]
}

 The dataset includes 10094 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004471-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dvhtp8d8dy.1
title: Disruptive innovation forecasting Raw Data of 4 Predictors

description: Disruptive innovation forecasting Raw Data of 4 Predictors
DOI: 10.17632/h49pywnwgb.1
title: Sustainable Practices for Restoring Cocoa Farm land in Gold Mining-Damaged Agricultural Lands in South West Nigeria

description: Research Hypothesis
The hypothesis of this study is that biochar and inorganic amendments significantly improve soil health, cocoa growth, and biodiversity in gold mining-impacted agricultural lands compared to untreated control plots.
Description of the Data
The dataset includes field data collected over 12 months from two gold mining-impacted agricultural sites (Aba Ooni and Aye Isale) in Osun State, Nigeria. The study employed a randomized complete block design with three treatments: biochar, inorganic amendments (NPK and lime), and a control. The dataset comprises:
1. Soil Parameters: Soil pH, organic matter content, macronutrients (N, P, K, Ca, Mg), and heavy metal concentrations (Hg, Pb, Cd).
2. Cocoa Growth Parameters: Plant height, stem diameter, leaf area index, and plant vigor scores.
3. Biodiversity Metrics: Plant and pollinator species counts and Shannon-Wiener Diversity Index.
Key Findings
1. Soil Health Improvement:
o Biochar significantly improved soil pH (6.2 ± 0.2) and organic matter (2.8 ± 0.1%) compared to control and inorganic amendments.
o Biochar reduced heavy metal concentrations (e.g., Hg: 0.12 ± 0.01 mg/kg vs. 0.65 ± 0.02 mg/kg in control).
o Inorganic amendments were effective but less impactful than biochar.
2. Cocoa Growth Enhancement:
o Biochar-treated cocoa plants showed the greatest height (78 ± 4.2 cm) and stem diameter (4.0 ± 0.3 cm).
o Leaf area index and plant vigor scores were highest in biochar plots, indicating enhanced photosynthesis and overall health.
3. Biodiversity Improvements:
o Biochar-treated plots had the highest biodiversity, with 18 ± 1.5 plant species and 9 ± 0.7 pollinator species.
o The Shannon-Wiener Index was highest in biochar plots (2.5 ± 0.2), reflecting improved ecosystem stability.
Data Interpretation and Usage
• Soil Restoration: The data highlights biochar’s superior ability to rehabilitate degraded soils, especially in mitigating acidity and heavy metal contamination.
• Cocoa Productivity: Growth metrics show that biochar improves cocoa plant development through better nutrient availability and soil structure.
• Ecosystem Health: Biodiversity metrics emphasize the role of biochar in enhancing ecological balance, making it a sustainable agricultural amendment.
Applications
Researchers and agricultural practitioners can use this dataset to:
• Develop sustainable soil restoration strategies in mining-impacted areas.
• Optimize biochar and inorganic amendment applications for cocoa farming.
• Assess biodiversity as an indicator of agroecosystem health.
The findings affirm biochar’s effectiveness in soil remediation and agroecological restoration, supporting its adoption for sustainable agricultural practices.
DOI: 10.17632/85sjtpsyrm.1
title: INTRUSION DETECTION DATASETS

description: CICIDS 2018, EDGE IIOT
DOI: 10.17632/xvph2ph8cp.1
title: Supplementary Materials for Undergraduate Medical Learner Outcomes in Skin of Color Dermatology Interventions: A Systematic Review

description: Supplementary Materials for Undergraduate Medical Learner Outcomes in Skin of Color Dermatology Interventions: A Systematic Review