cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.c.3612839_d10.v1
title: Additional file 9: of Validity assessment of the symptom checklist SCL-90-R and shortened versions for the general population in Ukraine

description: Confirmatory factor analysis of the SCL-27 in the Ukrainian general population: correlations between latent factors. Results of confirmatory factor analysis. Correlations between the latent variables measured by SCL-27 items in 1997, 1999 and 2014 studies that are representative of the Ukrainian population. (XLSX 10Â kb)
DOI: 10.6084/m9.figshare.c.3612839_d11.v1
title: Additional file 10: of Validity assessment of the symptom checklist SCL-90-R and shortened versions for the general population in Ukraine

description: Confirmatory factor analysis of the BSI-18 in the Ukrainian general population: correlations between latent factors. Results of confirmatory factor analysis. Correlations between the latent variables measured by BSI-18 items in 1997, 1999 and 2014 studies that are representative of the Ukrainian population. (XLSX 9Â kb)
DOI: 10.15468/dl.n6fey7
title: Occurrence Download

description: A dataset listing the 8 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ulva lactuca L."
 ]
}

 The dataset's 8 records were derived from 353 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037546-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f94dw6
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Living Specimen)",
 "DatasetKey is Observation.org, Nature data from around the World",
 "Geometry POLYGON((13.78819 53.01636,13.04476 53.02275,12.45002 52.58616,12.68367 52.10607,14.01121 52.03425,14.58471 52.42455,14.54223 52.9012,13.78819 53.01636))",
 "HasGeospatialIssue is false",
 "TaxonKey is Procyon lotor (Linnaeus, 1758)",
 "Year 2019-2024"
 ]
}

 The dataset includes 81 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037552-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mczxqe
title: Occurrence Download

description: A dataset containing 491183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia",
 "Year 2024-2024"
 ]
}

 The dataset includes 491183 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037548-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dye7u2
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "TaxonKey is Ulva lactuca L."
 ]
}

 The dataset includes 35 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037553-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26893153.v1
title: Dataset: Acanthocephalans as pollutant sinks? Higher pollutant accumulation in parasites may relieve their crustacean host

description: We present behavioral raw-data related to Soose et al. 2025: Acanthocephalans as pollutant sinks? Higher pollutant accumulation in parasites may relieve their crustacean host (https://doi.org/10.1016/j.scitotenv.2024.177998)
DOI: 10.6084/m9.figshare.26893153
title: Dataset: Acanthocephalans as pollutant sinks? Higher pollutant accumulation in parasites may relieve their crustacean host

description: We present behavioral raw-data related to Soose et al. 2025: Acanthocephalans as pollutant sinks? Higher pollutant accumulation in parasites may relieve their crustacean host (https://doi.org/10.1016/j.scitotenv.2024.177998)
DOI: 10.6084/m9.figshare.27993446
title: Video Data sets

description: The video dataset for video shot boundary detection consists of 5 news video sequences6 videos from TRECVID200110 broadcast re-using videos from RAI Dataset
DOI: 10.23668/psycharchives.2600
title: Dataset for: Psychosis Proneness: A Neglected Personality Correlate of Right-Wing Authoritarianism and Prejudice

description: The goal of the study is to investigate the relationship between the HEXACO personality model and Disintegration—representing a broad spectrum of psychotic-like experiences and behavioral tendencies (Perceptual Distortions, General Executive/Cognitive Impairment, Enhanced Awareness, Paranoia, Mania, Flattened Affect, Apathy/Depression, Somatoform Dysregulation, and Magical Thinking) that are reconceptualized as a personality trait. In this preregistered study, we predicted that the Disintegration factor would separate from HEXACO. The replicability of the factorial structures of HEXACO and Disintegration subcomponents is investigated across the three national samples (UK, Germany, and Serbia), matched on key socio-demographic variables. Exploratory Structural Equation Modeling (ESEM) is used to study the invariance of the hypothesized seven-factor structure (six HEXACO plus Disintegration). Support for the metric invariance of the seven-factor structure based on HEXACO and Disintegration subcomponents/facets across the three nations was found. The Disintegration factor lied outside the HEXACO personality space with each of its nine subcomponents. The Disintegration factor appeared to be among the most coherent and replicable of the seven across the samples and units of measurement (facets and items). A broad spectrum of psychotic-like experiences/behavioral tendencies relevant in understanding and explaining many aspects of everyday and long-term (mal)adaptations is not captured by the HEXACO model.
description: Dataset for: Knežević, G., Lazarević, L. B., Bosnjak, M., & Keller, J. (2022). Proneness to psychotic-like experiences as a basic personality trait complementing the HEXACO model—A preregistered cross-national study. Personality and Mental Health, 1– 19. https://doi.org/10.1002/pmh.1537
DOI: 10.23668/psycharchives.2602
title: Results of Maintenance Workplace Questionnaire
title: Dataset for: Workforce perceptions of human factors as leading indicators of plant reliability and process safety

description: Human factors, as perceived by the maintenance workforce, were used as the measure for comparing work areas within a petroleum company. These factors were then compared to an objective measure of reliability (Mean Time Between Failures) in order to determine which factors would be most predictive of plant reliability and process safety. Maintenance personnel were surveyed using scales based on Problem-solving, Vigilance, Design and maintenance, Job-related feedback and Information about change. Analysis of Variance was used to assess the strength of these variables in relation to Reliability Level. Significant differences were observed between different reliability levels based on workforce perceptions of problem-solving requirements and the design and maintainability of plant. Conclusions were that perceptions of human factors in the workplace can be predictive of group-level performance, and that if issues relating to design and maintainability are not addressed at the design stage, greater problem-solving abilities will be required from maintenance personnel.
description: Dataset for: Antonovsky, A., Straker, L., & Pollock, C. (2020). Workforce perceptions of human factors as indicators of plant reliability and process safety. Ergonomics, 1–13. https://doi.org/10.1080/00140139.2020.1823489
DOI: 10.23668/psycharchives.2606
title: The role of narcissism, HEXACO, and disintegration in conspiracy beliefs
title: Dataset for: The role of narcissism, HEXACO, and disintegration in conspiracy beliefs

description: Dataset for: Knežević, G., Lazarevic, L. B., & Bosnjak, M. (2018, November). The role of narcissism, HEXACO, and disintegration in conspiracy beliefs. Leibniz Institut für Psychologische Information und Dokumentation (ZPID). https://doi.org/10.23668/psycharchives.1846
description: The main aim of the study is to test whether Narcissism, found to be reliably related to conspiracy, contributes to the explanation of the beliefs in conspiracy theories above the seven basic personality traits, defined by HEXACO and Disintegration trait. We will test the cross-cultural invariance of the relations in two different cultural groups: UK and Germans. The first hypothesis is that the Disintegration explains variance in the beliefs in conspiracy theories incrementally to the HEXACO traits. Second, we expect that Narcissism does not explain variance in the beliefs in conspiracy theories incrementally to the HEXACO traits complemented with Disintegration. Third, the structural model of narcissism, HEXACO, and disintegration in conspiracy beliefs is expected to reveal the crucial role of Disintegration, Honesty (or Agreeableness) and Conscientiousness in the conspiracy beliefs, while Narcissism is expected to have at best partial mediatory role between these personality traits and conspiracy beliefs. The model is expected to be invariant across the two samples. Data will be collected using a 100-item HEXACO personality inventory assessing six basic personality traits, and the 20-item DELTA questionnaire measuring Disintegration trait. Conspiracy beliefs will be measured using the15-item Generic Conspiracist Beliefs Scale, while Narcissism will be assessed using the 18-item version of the Individual narcissism scale. In addition, sociodemographic data on gender, age and educational level will be collected. For data analyses, we will employ Hierarchical regression analysis and Multi-group Structure Equation Modeling (SEM).
DOI: 10.23668/psycharchives.2607
title: Internet Access and Use
title: Dataset for: Unipark project module

description: Dataset examines patterns of internet use, internet skills, proxy internet use and outcomes of digital engagement among British internet users.
DOI: 10.15468/dl.p55nxr
title: Occurrence Download

description: A dataset containing 2267 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepus saxatilis F.Cuvier, 1823"
 ]
}

 The dataset includes 2267 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037556-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.2609
title: Research data of the Multiraterstudy Dark Triad 2015
title: Dataset for: Hello from the Dark Side: Does My Reputation Precede Me? Methodological Suggestions for Testing the Trait-Reputation-Identity Model.

description: The current study builds on research concerning self-other agreement, specifically the Trait-Reputation-Identity (TRI) Model, and combines this theoretical approach and recent advances from multitrait-multimethod research, specifically the CTC(M-1) and the latent difference model. This combination was applied to avoid statistical problems associated with latent trait models of the type previously used in TRI Model research. A further aim was to fully exploit the TRI Model’s potential by simultaneously modeling more than one trait in one psychometric model. This makes it possible to explore whether raters use similar information to assess different traits or whether this information is observer-specific, as well as whether the traits themselves can shape an individual's Reputation. All analyses were based on a data set capturing the Dark Triad. As the Dark Triad has only rarely been examined from different rater perspectives before, the study also provides new insights into this network of maladaptive traits. A sample of 290 students, their best friends, and one parent were asked to fill out the NPI, Mach IV, and SRP-III. The results suggest that accuracy is high only for narcissism. Moreover, a dark halo could be observed among each of the other-raters for Machiavellianism and psychopathy; target’s standings on these two traits were also underestimated by the other-raters. The study’s combined use of the TRI Model and modern structural equation methods highlights the usefulness of the TRI Model and adds to the debate about the specific nature of Dark Triad traits.
description: Dataset for: Lämmle, L., Nussbeck, F. W., & Ziegler, M. (2019). Hello from the Other Side: Can We Perceive Others’ Darkness? Observers’ Accuracy of the Dark Triad. Journal of Personality Assessment, 1–14. https://doi.org/10.1080/00223891.2019.1683020
description: Dataset: multiraterdata.sav; Codebook: multirater_codebook.pdf
DOI: 10.23668/psycharchives.2611
title: Dataframe of Significant Stems for: Big Data and Digital Aesthetic, Arts and Cultural Education: Hot Spots of Current Quantitative Research
title: Dataset for: Big Data and Digital Aesthetic, Arts and Cultural Education: Hot Spots of Current Quantitative Research

description: Systematic reviews are the method of choice to synthesize research evidence. To identify main topics (so-called hot spots) relevant to large corpora of original publications in need of a synthesis, one must address the “three Vs” of big data (volume, velocity, and variety), especially in loosely defined or fragmented disciplines. For this purpose, text mining and predictive modeling are very helpful. Thus, we applied these methods to a compilation of documents related to digitalization in aesthetic, arts, and cultural education, as a prototypical, loosely defined, fragmented discipline, and particularly to quantitative research within it (QRD-ACE). By broadly querying the abstract and citation database Scopus with terms indicative of QRD-ACE, we identified a corpus of N = 55,553 publications for the years 2013–2017. As the result of an iterative approach of text mining, priority screening, and predictive modeling, we identified n = 8,304 potentially relevant publications of which n = 1,666 were included after priority screening. Analysis of the subject distribution of the included publications revealed video games as a first hot spot of QRD-ACE. Topic modeling resulted in aesthetics and cultural activities on social media as a second hot spot, related to 4 of k = 8 identified topics. This way, we were able to identify current hot spots of QRD-ACE by screening less than 15% of the corpus. We discuss implications for harnessing text mining, predictive modeling, and priority screening in future research syntheses and avenues for future original research on QRD-ACE.
description: Dataset for: Christ, A., Penthin, M., & Kröner, S. (2019). Big Data and Digital Aesthetic, Arts, and Cultural Education: Hot Spots of Current Quantitative Research. Social Science Computer Review, 089443931988845. https://doi.org/10.1177/0894439319888455
DOI: 10.23668/psycharchives.2612
title: List of Included Articles for: Big Data and Digital Aesthetic, Arts and Cultural Education: Hot Spots of Current Quantitative Research
title: Dataset for: Big Data and Digital Aesthetic, Arts and Cultural Education: Hot Spots of Current Quantitative Research

description: Systematic reviews are the method of choice to synthesize research evidence. To identify main topics (so-called hot spots) relevant to large corpora of original publications in need of a synthesis, one must address the “three Vs” of big data (volume, velocity, and variety), especially in loosely defined or fragmented disciplines. For this purpose, text mining and predictive modeling are very helpful. Thus, we applied these methods to a compilation of documents related to digitalization in aesthetic, arts, and cultural education, as a prototypical, loosely defined, fragmented discipline, and particularly to quantitative research within it (QRD-ACE). By broadly querying the abstract and citation database Scopus with terms indicative of QRD-ACE, we identified a corpus of N = 55,553 publications for the years 2013–2017. As the result of an iterative approach of text mining, priority screening, and predictive modeling, we identified n = 8,304 potentially relevant publications of which n = 1,666 were included after priority screening. Analysis of the subject distribution of the included publications revealed video games as a first hot spot of QRD-ACE. Topic modeling resulted in aesthetics and cultural activities on social media as a second hot spot, related to 4 of k = 8 identified topics. This way, we were able to identify current hot spots of QRD-ACE by screening less than 15% of the corpus. We discuss implications for harnessing text mining, predictive modeling, and priority screening in future research syntheses and avenues for future original research on QRD-ACE.
description: Dataset for: Christ, A., Penthin, M., & Kröner, S. (2019). Big Data and Digital Aesthetic, Arts, and Cultural Education: Hot Spots of Current Quantitative Research. Social Science Computer Review, 089443931988845. https://doi.org/10.1177/0894439319888455
DOI: 10.57702/bajcnmbb
title: Corel5k

description: The dataset used in this paper for image annotation, consisting of 4,999 annotated images with a vocabulary of up to 200 keywords.
DOI: 10.57702/c3yrsaic
title: Bibtex

description: The dataset is used for multilabel learning tasks. It contains 7395 documents, each labeled with 159 relevant tickers.
DOI: 10.23668/psycharchives.2613
title: Research General Stop Words for: Big Data and Digital Aesthetic, Arts and Cultural Education: Hot Spots of Current Quantitative Research
title: Dataset for: Big Data and Digital Aesthetic, Arts and Cultural Education: Hot Spots of Current Quantitative Research

description: Systematic reviews are the method of choice to synthesize research evidence. To identify main topics (so-called hot spots) relevant to large corpora of original publications in need of a synthesis, one must address the “three Vs” of big data (volume, velocity, and variety), especially in loosely defined or fragmented disciplines. For this purpose, text mining and predictive modeling are very helpful. Thus, we applied these methods to a compilation of documents related to digitalization in aesthetic, arts, and cultural education, as a prototypical, loosely defined, fragmented discipline, and particularly to quantitative research within it (QRD-ACE). By broadly querying the abstract and citation database Scopus with terms indicative of QRD-ACE, we identified a corpus of N = 55,553 publications for the years 2013–2017. As the result of an iterative approach of text mining, priority screening, and predictive modeling, we identified n = 8,304 potentially relevant publications of which n = 1,666 were included after priority screening. Analysis of the subject distribution of the included publications revealed video games as a first hot spot of QRD-ACE. Topic modeling resulted in aesthetics and cultural activities on social media as a second hot spot, related to 4 of k = 8 identified topics. This way, we were able to identify current hot spots of QRD-ACE by screening less than 15% of the corpus. We discuss implications for harnessing text mining, predictive modeling, and priority screening in future research syntheses and avenues for future original research on QRD-ACE.
description: Dataset for: Christ, A., Penthin, M., & Kröner, S. (2019). Big Data and Digital Aesthetic, Arts, and Cultural Education: Hot Spots of Current Quantitative Research. Social Science Computer Review, 089443931988845. https://doi.org/10.1177/0894439319888455
DOI: 10.57702/g133vfon
title: Di dataset for data-driven control design

description: The dataset used in this paper for data-driven control design: a model Di considering instantaneous bounds on the disturbance.
DOI: 10.57702/t90rohzh
title: Artificial LFP-like signals

description: Artificial LFP-like signals generated for testing PAC detection methods
DOI: 10.57702/5be1dgwc
title: BRACS: A Dataset for BReAst Carcinoma Subtyping

description: A large cohort of annotated Hematoxylin & Eosin (H&E)-stained images to advance the characterization of breast lesions.
DOI: 10.57702/2hwdkajy
title: RawVDemoiré

description: The RawVDemoiré dataset is a raw video demoiréing dataset, which is the first raw video demoiréing dataset. It contains 300 video clips with temporal and spatial aligned pairs.
DOI: 10.57702/d4dj0dzq
title: Raw Image Demoiréing Dataset

description: The raw image demoiréing dataset is a raw image demoiréing dataset, which is used for training the raw image demoiréing model.
DOI: 10.15468/dl.67kkdh
title: Occurrence Download

description: A dataset containing 6191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Scleractinia"
 ]
}

 The dataset includes 6191 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013191-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28760843
title: The data in the flume experiments

description: The data of the average riverbed elevations and final channel-bed elevations measured in the flume experiments and the grain size distributions of the artificial sediment (fly ash) used in the flume experiments.
DOI: 10.15468/dl.wx6exq
title: Occurrence Download

description: A dataset containing 23650 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Yponomeuta padella Linnaeus, 1758",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23650 records from 265 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021816-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5rxxcz
title: Occurrence Download

description: A dataset containing 162150 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Ditsong National Museum of Natural History Collection: 1805-2008"
 ]
}

 The dataset includes 162150 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021815-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11125644
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.15468/dl.duqmae
title: Occurrence Download

description: A dataset containing 683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blattella asahinai Mizukubo, 1981",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 683 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021817-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11125689
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.6084/m9.figshare.28606970
title: 800数据

description: 生物信息学数据集
DOI: 10.15468/dl.x46j3t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bassus festivus (Muesebeck, 1953)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021818-250310093411724/datasets/export for details.
DOI: 10.6084/m9.figshare.28643633
title: <b>DuoOpti-YOLO: Enhanced Multi-Scale Erosion Detection in GFRP Strips via Dual-Layer Channel Optimization</b>

description: DuoOpti-YOLO：通过双层通道优化数据样本，以增强 GFRP 条带中的多尺度侵蚀检测