cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jns8dc8yc8.2
title: Trait Profiler Jungian Preference Scale (TP-JPS) Dataset

description: The Trait Profiler Jungian Preference Scale (TP-JPS) dataset comprises responses collected from 105 adult participants using a 64-item self-report instrument designed to assess personality preferences based on Jungian typology. The TP-JPS evaluates individual differences across four bipolar dimensions: Extraversion–Introversion (E–I), Sensing–Intuition (S–N), Thinking–Feeling (T–F), and Judging–Perceiving (J–P). Each dimension reflects a fundamental orientation in cognition, perception, judgment, and interaction with the external world, allowing researchers to explore both categorical personality types and dimensional preference strengths.

The dataset contains detailed item-level responses on a 1–5 Likert scale (1 = Strongly Disagree, 5 = Strongly Agree), representing participants’ degree of agreement with behaviorally anchored statements corresponding to each pole of the four bipolar dimensions. Each dimension includes 16 items, balanced between positive and reverse-keyed items to minimize response biases such as acquiescence or socially desirable responding. This design ensures that responses reflect authentic behavioral tendencies and cognitive preferences rather than superficial self-evaluation.

In addition to raw item responses, the dataset provides calculated raw scores for each dimension pole (e.g., E_Score, I_Score), paired-dimension percentages (e.g., E_Percent, I_Percent), and categorical type classifications (Type_Code) based on dominant poles. The paired-dimension scoring approach emphasizes the competitive nature of opposing preferences, aligning with Jungian theoretical assumptions that preference for one pole implies relative de-emphasis of the other. Preference percentages allow for nuanced interpretation, capturing the strength and clarity of each individual’s orientation along a continuum, rather than reducing personality to rigid dichotomous categories. This enables the identification of strong, moderate, or balanced profiles, reflecting situational flexibility and adaptive behavioral tendencies.

Demographic variables included in the dataset provide additional context for interpretation. Participants’ age, gender, highest education level, country of residence, occupation, self-reported familiarity with personality assessments, and consent status are recorded to facilitate descriptive analyses, subgroup comparisons, and exploratory correlations. These variables support investigation of potential patterns in personality preferences across different demographic groups, enhancing the dataset’s applicability for research in educational, organizational, and psychological contexts.

The TP-JPS dataset is intended for research, educational, and psychometric validation purposes. Researchers can use it to examine internal consistency, evaluate item discrimination, explore score distributions, and investigate relationships between personality preferences and demographic factors.
DOI: 10.17632/zzf8xmhc6k
title: Bibliometric Data from 20 Years of PRPER (2005–2025)

description: Bibliometric and Citation Data from 20 Years of PRPER (2005–2025) extracted from WOS and Scopus.
DOI: 10.17632/zzf8xmhc6k.1
title: Bibliometric Data from 20 Years of PRPER (2005–2025)

description: Bibliometric and Citation Data from 20 Years of PRPER (2005–2025) extracted from WOS and Scopus.
DOI: 10.17632/fg5hxsj5kt
title: frontier in Agronomy raw data 1732161

description: This study enhanced the control efficacy against strawberry angular leaf spot through the construction of a composite microbial consortium and investigated its disease-suppressing mechanisms involving multi-faceted inhibition of pathogen growth, thereby providing an effective theoretical foundation for the management of strawberry angular leaf spot.The data from this study have been uploaded here and are intended to assist fellow researchers in related fields.
DOI: 10.17632/fg5hxsj5kt.1
title: frontier in Agronomy raw data 1732161

description: This study enhanced the control efficacy against strawberry angular leaf spot through the construction of a composite microbial consortium and investigated its disease-suppressing mechanisms involving multi-faceted inhibition of pathogen growth, thereby providing an effective theoretical foundation for the management of strawberry angular leaf spot.The data from this study have been uploaded here and are intended to assist fellow researchers in related fields.
DOI: 10.17632/p8sxs7sxjr
title: Nickell Bias in Panel Local Projection

description: 1. Empirical results -&gt; applications.zip: The dataset in application comprises four empirical studies on macro-finance linkages, all focusing on the impact of financial crises on output, each emphasizing a different financial shock. 

* Romer and Romer (2017) provide a semi-annual dataset consisting of an unbalanced panel for 24 OECD countries from 1967 to 2012, include the dependent variables log real GDP (LNGDP) and unemployment rate (UNEMP), along with the new regressor (CRISIS) and the corresponding lags and horizon h. 

* Baron et al. (2021) cover bank equity returns for 46 advanced and emerging economies from 1870 to 2016, with the dependent variable being the log of real GDP and the change in credit-to-GDP, regressors including bank equity crash (R_B) and nonfinancial equity crash (R_N), and their respective lags and horizon h. 

* Mian et al. (2017) assemble an unbalanced panel of 30 countries from 1960 to 2012, with the dependent variable log real GDP, regressors including household debt to GDP ratio (L0HHD_L1GDP) and nonfinancial firm debt to GDP ratio (L0NFD_L1GDP), and their respective lags and horizon h. 

* Cerra and Saxena (2008) present panel data on currency crises for 175 countries from 1965 to 2000, including the dependent variable the change in the logarithm of real GDP (GRRT_WB), a dummy variable indicating a currency crisis (CRISIS), and the corresponding lags and horizon h.

2. Main-text simulations -&gt; simulations.zip: Monte Carlo simulations for the main text (Figures 1-3). See simulations/README.md for details about the scripts and figures.

3. Appendix simulations -&gt; simulations_appendix.zip: Simulation code for Appendix C (Figures C1-C12). The workflow is explained in simulations_appendix/readme.md for instructions.
DOI: 10.57760/sciencedb.34588
title: Manuscript ID: NA-REV-09-2025-000874.R1 TITLE: Advances in Biomaterials for Sports Injury Prevention and Rehabilitation: Current Status and Future Perspectives
title: Manuscript ID: NA-REV-09-2025-000874.R1 TITLE: Advances in Biomaterials for Sports Injury Prevention and Rehabilitation: Current Status and Future Perspectives

description: 该文章中涉及到的原始图片
description: 该文章中涉及到的原始图片
DOI: 10.17632/p8sxs7sxjr.2
title: Nickell Bias in Panel Local Projection

description: 1. Empirical results -&gt; applications.zip: The dataset in application comprises four empirical studies on macro-finance linkages, all focusing on the impact of financial crises on output, each emphasizing a different financial shock. 

* Romer and Romer (2017) provide a semi-annual dataset consisting of an unbalanced panel for 24 OECD countries from 1967 to 2012, include the dependent variables log real GDP (LNGDP) and unemployment rate (UNEMP), along with the new regressor (CRISIS) and the corresponding lags and horizon h. 

* Baron et al. (2021) cover bank equity returns for 46 advanced and emerging economies from 1870 to 2016, with the dependent variable being the log of real GDP and the change in credit-to-GDP, regressors including bank equity crash (R_B) and nonfinancial equity crash (R_N), and their respective lags and horizon h. 

* Mian et al. (2017) assemble an unbalanced panel of 30 countries from 1960 to 2012, with the dependent variable log real GDP, regressors including household debt to GDP ratio (L0HHD_L1GDP) and nonfinancial firm debt to GDP ratio (L0NFD_L1GDP), and their respective lags and horizon h. 

* Cerra and Saxena (2008) present panel data on currency crises for 175 countries from 1965 to 2000, including the dependent variable the change in the logarithm of real GDP (GRRT_WB), a dummy variable indicating a currency crisis (CRISIS), and the corresponding lags and horizon h.

2. Main-text simulations -&gt; simulations.zip: Monte Carlo simulations for the main text (Figures 1-3). See simulations/README.md for details about the scripts and figures.

3. Appendix simulations -&gt; simulations_appendix.zip: Simulation code for Appendix C (Figures C1-C12). The workflow is explained in simulations_appendix/readme.md for instructions.
DOI: 10.17632/vtjkzb3796
title: Attachment, loneliness, self-compassion, and psychological symptoms of Vietnamese college students

description: This dataset contains anonymized survey data collected from 449 Vietnamese college students from 10 November to 24 November 2021 to examine the associations between insecure attachment and mental health outcomes, with a specific focus on the mediating roles of loneliness and self-compassion.

Participants completed a set of self-report questionnaires assessing attachment insecurity, loneliness, self-compassion, and mental health indicators (e.g., stress, anxiety, and depression). All items were rated using Likert-type scales. Composite scores were computed following standard scoring procedures for each instrument.

The dataset was designed to support path analysis and mediation modeling, allowing for the examination of both direct and indirect relationships among the study variables. No personally identifiable information is included, and all data were collected in accordance with ethical research standards, including informed consent from participants.

This dataset may be useful for researchers interested in attachment theory, college student mental health, loneliness, self-compassion, and structural modeling approaches in psychological research.
DOI: 10.17632/vtjkzb3796.2
title: Attachment, loneliness, self-compassion, and psychological symptoms of Vietnamese college students

description: This dataset contains anonymized survey data collected from 449 Vietnamese college students from 10 November to 24 November 2021 to examine the associations between insecure attachment and mental health outcomes, with a specific focus on the mediating roles of loneliness and self-compassion.

Participants completed a set of self-report questionnaires assessing attachment insecurity, loneliness, self-compassion, and mental health indicators (e.g., stress, anxiety, and depression). All items were rated using Likert-type scales. Composite scores were computed following standard scoring procedures for each instrument.

The dataset was designed to support path analysis and mediation modeling, allowing for the examination of both direct and indirect relationships among the study variables. No personally identifiable information is included, and all data were collected in accordance with ethical research standards, including informed consent from participants.

This dataset may be useful for researchers interested in attachment theory, college student mental health, loneliness, self-compassion, and structural modeling approaches in psychological research.
DOI: 10.57760/sciencedb.34581
title: The value of quantitative fluorescence polymerase chain reaction for the products of conception in the era of copy number variation sequencing
title: The value of quantitative fluorescence polymerase chain reaction for the products of conception in the era of copy number variation sequencing

description: The value of quantitative fluorescence polymerase chain reaction for the products of conception in the era of copy number variation sequencing
description: The value of quantitative fluorescence polymerase chain reaction for the products of conception in the era of copy number variation sequencing
DOI: 10.57760/sciencedb.34434
title: 人参皂苷在肿瘤治疗研究现状与发展趋势的可视化分析
title: 人参皂苷在肿瘤治疗研究现状与发展趋势的可视化分析

description: 基于中国知网、万方、维普及Web of Science核心合集数据库，检索2000年1月1日至2025年10月1日相关中英文文献；IncoPat专利数据库检索相关专利
description: 基于中国知网、万方、维普及Web of Science核心合集数据库，检索2000年1月1日至2025年10月1日相关中英文文献；IncoPat专利数据库检索相关专利
DOI: 10.17632/dx4bd68t8m
title: supplemental data20251230zscan1paper

description: Supplemental data
DOI: 10.17632/dx4bd68t8m.1
title: supplemental data20251230zscan1paper

description: Supplemental data
DOI: 10.17632/tjgh2kj89j.2
title: Gallium isotope ratios in Mars and 4 Vesta as a result of evaporative loss

description: All parameters required for the calculations presented in this article are provided to facilitate readers’ understanding of the equations and the underlying research logic.
DOI: 10.57760/sciencedb.34523
title: Raw data for genome assembly of Myrica nana
title: Raw data for genome assembly of Myrica nana

description: Fresh young leaves used for genome sequencing were collected from the M. nana plant grown in the wild environment of Guizhou, China. The total genomic DNA for each of the accessions was extracted from leaves using the CTAB method[20]. A second-generation sequencing library was constructed using the DNBSEQ-T7 platform (MGI, Shenzhen, China), yielding 17.97 Gb of raw data. High-quality genomic DNA was used to construct a SMRTbell library with insert sizes of 15-20 kb, which was sequenced on the PacBio Sequel II platform, generating 16.15 Gb of long-read data. To assist in genome scaffolding and chromatin interaction analysis, a Hi-C library was prepared and sequenced on the same DNBSEQ-T7 platform, resulting in 25.63 Gb of valid data after quality control. In addition, total RNA was extracted from four tissues (root, stem, leaf, flower, and fruit) using TRIzol reagent (Vazyme, China). A cDNA library with an insert size of 350 bp was constructed using the MGI Easy RNA Library Prep Kit and subjected to paired-end sequencing on the DNBSEQ-T7 platform, producing 37.77 Gb of transcriptomic raw data.
description: Fresh young leaves used for genome sequencing were collected from the M. nana plant grown in the wild environment of Guizhou, China. The total genomic DNA for each of the accessions was extracted from leaves using the CTAB method[20]. A second-generation sequencing library was constructed using the DNBSEQ-T7 platform (MGI, Shenzhen, China), yielding 17.97 Gb of raw data. High-quality genomic DNA was used to construct a SMRTbell library with insert sizes of 15-20 kb, which was sequenced on the PacBio Sequel II platform, generating 16.15 Gb of long-read data. To assist in genome scaffolding and chromatin interaction analysis, a Hi-C library was prepared and sequenced on the same DNBSEQ-T7 platform, resulting in 25.63 Gb of valid data after quality control. In addition, total RNA was extracted from four tissues (root, stem, leaf, flower, and fruit) using TRIzol reagent (Vazyme, China). A cDNA library with an insert size of 350 bp was constructed using the MGI Easy RNA Library Prep Kit and subjected to paired-end sequencing on the DNBSEQ-T7 platform, producing 37.77 Gb of transcriptomic raw data.
DOI: 10.57760/sciencedb.34524
title: Original data for research on epidermal nanostructures in alpine lizards
title: Original data for research on epidermal nanostructures in alpine lizards

description: This dataset comprehensively supports the research about epidermal nanostructures in alpine lizards. It contains all original experimental materials, including infrared thermoregulation videos, skin reflectance and transmittance spectral measurements, histological images for melanin quantification, scanning and transmission electron microscopy images of skin microstructures, and relevant environmental variables. The data are systematically organized into six main folders corresponding to each analytical component, complemented by analysis code, individual reference files, and phylogenetic trees in the main directory. All files are clearly named and structured to ensure traceability from raw recordings to analyzed parameters, facilitating reproducibility and further research in thermal ecology, functional morphology, and comparative physiology.
description: This dataset comprehensively supports the research about epidermal nanostructures in alpine lizards. It contains all original experimental materials, including infrared thermoregulation videos, skin reflectance and transmittance spectral measurements, histological images for melanin quantification, scanning and transmission electron microscopy images of skin microstructures, and relevant environmental variables. The data are systematically organized into six main folders corresponding to each analytical component, complemented by analysis code, individual reference files, and phylogenetic trees in the main directory. All files are clearly named and structured to ensure traceability from raw recordings to analyzed parameters, facilitating reproducibility and further research in thermal ecology, functional morphology, and comparative physiology.
DOI: 10.17632/bd32wp6vhy.1
title: A Multimodal Dataset of Climate Change Narratives in China and the UK

description: The multimodal dataset focuses on climate change communication across two major social video platforms: BiliBili (China) and YouTube (United Kingdom). These platforms were selected because their long-form video formats lend themselves particularly well to narrative analysis, offering advantages over other forms of social media. The dataset comprises video cover images, metadata, engagement statistics, and textual content (titles, descriptions, and transcripts) for 2,798 videos (2,092 from BiliBili and 706 from YouTube), timeframe ranges from May 2007 to April 2025. All data are hosted on Peking University Open Research Data Platform to support Open Access and reuse. The dataset offers substantial potential for researchers in environmental communication, digital humanities and computational social science, enabling cross-cultural analysis of public discourse and storytelling practices related to the climate crisis.
DOI: 10.57760/sciencedb.34532
title: Energy-Efficient Visual Search by Eye Movements with a Low-Latency Spiking Neural Agent
title: Energy-Efficient Visual Search by Eye Movements with a Low-Latency Spiking Neural Agent

description: Human vision incorporates a non-uniform resolution retina, efficient eye movement strategies, and spiking neural networks (SNNs) to balance requirements in visual field size, visual resolution, energy cost, and inference latency. However, whether these features can synergize to produce more energy-efficient computer vision algorithms with human-like eye movements remains underexplored. Here, we record human visual search data and establish an bio-inspired visual search model (BVSM). To our knowledge, BVSM is a rare SNN-based active visual search agent: it unifies non-uniform retinal sampling, event-driven spiking feature processing and memory, and a learned eye-movement policy within a single closed-loop framework, enabling low-latency saccade decisions in continuous space. The model combines a non-uniform resolution retina with spiking feature extraction, memory, and saccade decision modules, and employs population coding for fast saccade decisions. It can learn either a human-like or near-optimal fixation strategy by reinforcement learning, outperform human search performance, and achieve high energy efficiency through low saccade decision latency and sparse activation. Our findings suggest that SNNs with non-uniform resolution retina and efficient eye-movement strategies can facilitate more energy-efficient computer vision algorithms, especially when a large visual field, high visual resolution, and low energy cost are simultaneously required.
description: Human vision incorporates a non-uniform resolution retina, efficient eye movement strategies, and spiking neural networks (SNNs) to balance requirements in visual field size, visual resolution, energy cost, and inference latency. However, whether these features can synergize to produce more energy-efficient computer vision algorithms with human-like eye movements remains underexplored. Here, we record human visual search data and establish an bio-inspired visual search model (BVSM). To our knowledge, BVSM is a rare SNN-based active visual search agent: it unifies non-uniform retinal sampling, event-driven spiking feature processing and memory, and a learned eye-movement policy within a single closed-loop framework, enabling low-latency saccade decisions in continuous space. The model combines a non-uniform resolution retina with spiking feature extraction, memory, and saccade decision modules, and employs population coding for fast saccade decisions. It can learn either a human-like or near-optimal fixation strategy by reinforcement learning, outperform human search performance, and achieve high energy efficiency through low saccade decision latency and sparse activation. Our findings suggest that SNNs with non-uniform resolution retina and efficient eye-movement strategies can facilitate more energy-efficient computer vision algorithms, especially when a large visual field, high visual resolution, and low energy cost are simultaneously required.
DOI: 10.57760/sciencedb.34534
title: southern Xinjiang migration and prodcution data
title: 南疆移民和生产调研数据

description: Research on the Environmental Awareness and Production of Immigrants in Southern Xinjiang 
description: Research on the Environmental Awareness and Production of Immigrants in Southern Xinjiang
DOI: 10.57760/sciencedb.34259
title: Computational dataset for catalytic conversion of C1 molecules based on iron-based catalysts
title: Computational dataset for catalytic conversion of C1 molecules based on iron-based catalysts

description: The dataset focuses on the (001), (111), and (510) crystal planes of Fe5C2, covering three fundamental reaction types: adsorption, dissociation, and formation of C1 molecules on the catalyst surface. Structural and energetic parameters are obtained based on density functional theory.
description: The dataset focuses on the (001), (111), and (510) crystal planes of Fe5C2, covering three fundamental reaction types: adsorption, dissociation, and formation of C1 molecules on the catalyst surface. Structural and energetic parameters are obtained based on density functional theory.