cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28296145
title: 300 Vibrotactile Stimuli in Mobile Devices: Exploring and Estimating the Effect of 5 Vibrotactile Parameters on Emotional Responses

description: This paper explores the emotional responses of vibrotactile stimuli in mobile devices. Previous studies have limitations in parameter setting, experimental equipment, and emotion estimation. To address these, we constructed a parameter system and conducted an experiment with 25 participants to explore emotional responses to 300 vibrotactile stimuli. Quantitative results revealed that all 5 parameters significantly influenced emotional responses. Qualitative results indicated that participants’ perceptions of vibrotactile stimuli influenced by various factors, including physical perception differences, personal cognition and experiences, emotional resonance, and crossmodal perception. In addition, an artificial neural network model was developed to estimate vibrotactile emotional responses, demonstrating sufficient accuracy. This study provides guidelines for the emotional design of vibrotactile feedback in mobile devices.
DOI: 10.6084/m9.figshare.28296145.v1
title: 300 Vibrotactile Stimuli in Mobile Devices: Exploring and Estimating the Effect of 5 Vibrotactile Parameters on Emotional Responses

description: This paper explores the emotional responses of vibrotactile stimuli in mobile devices. Previous studies have limitations in parameter setting, experimental equipment, and emotion estimation. To address these, we constructed a parameter system and conducted an experiment with 25 participants to explore emotional responses to 300 vibrotactile stimuli. Quantitative results revealed that all 5 parameters significantly influenced emotional responses. Qualitative results indicated that participants’ perceptions of vibrotactile stimuli influenced by various factors, including physical perception differences, personal cognition and experiences, emotional resonance, and crossmodal perception. In addition, an artificial neural network model was developed to estimate vibrotactile emotional responses, demonstrating sufficient accuracy. This study provides guidelines for the emotional design of vibrotactile feedback in mobile devices.
DOI: 10.6084/m9.figshare.29398943
title: Attitude Towards AI: Potential Influence of Conspiracy Belief, XAI Experience and Locus of Control

description: The proliferation of Artificial Intelligence (AI) technologies, exemplified by Large Language Models (LLM), has ushered in a transformative era across various fields. As the AI revolution will impact societies in complex and uncertain ways, it is likely that persons tending towards belief of conspiracy theories also tend to form more negative and less positive attitudes towards AI. Such persons might believe that some evil force will use AI to destroy human mankind. Drawing on the Interplay of Modality, Person, Area, Country/Culture, and Transparency categories (IMPACT) framework, this study aims to investigate the interplay of locus of control (LOC), belief in conspiracy theories, and the perception of the importance and availability of eXplainable AI (XAI) on attitudes towards AI (measured via AI acceptance and fear). The study used an online survey with 281 participants from the UK and 281 from the Arab world. Statistical analysis revealed that in the UK but not in the Arab sample, female participants reported higher fear of AI and lower acceptance of AI compared to males. The regression results consistently confirmed the role of internal LOC, perceived XAI importance, and perceived availability of XAI in fostering AI acceptance, as well as the role of belief in conspiracy theories, external LOC, and perceiving availability of XAI as being low in increasing fear of AI. The perceived availability of XAI emerges as a crucial influencing factor; addressing it appropriately could enhance societal awareness and acceptance of AI while reducing fear. Personal factors and XAI influence attitudes towards AI in both Arab and UK cultures, enhancing result robustness and revealing nuanced differences.
DOI: 10.6084/m9.figshare.29398943.v1
title: Attitude Towards AI: Potential Influence of Conspiracy Belief, XAI Experience and Locus of Control

description: The proliferation of Artificial Intelligence (AI) technologies, exemplified by Large Language Models (LLM), has ushered in a transformative era across various fields. As the AI revolution will impact societies in complex and uncertain ways, it is likely that persons tending towards belief of conspiracy theories also tend to form more negative and less positive attitudes towards AI. Such persons might believe that some evil force will use AI to destroy human mankind. Drawing on the Interplay of Modality, Person, Area, Country/Culture, and Transparency categories (IMPACT) framework, this study aims to investigate the interplay of locus of control (LOC), belief in conspiracy theories, and the perception of the importance and availability of eXplainable AI (XAI) on attitudes towards AI (measured via AI acceptance and fear). The study used an online survey with 281 participants from the UK and 281 from the Arab world. Statistical analysis revealed that in the UK but not in the Arab sample, female participants reported higher fear of AI and lower acceptance of AI compared to males. The regression results consistently confirmed the role of internal LOC, perceived XAI importance, and perceived availability of XAI in fostering AI acceptance, as well as the role of belief in conspiracy theories, external LOC, and perceiving availability of XAI as being low in increasing fear of AI. The perceived availability of XAI emerges as a crucial influencing factor; addressing it appropriately could enhance societal awareness and acceptance of AI while reducing fear. Personal factors and XAI influence attitudes towards AI in both Arab and UK cultures, enhancing result robustness and revealing nuanced differences.
DOI: 10.5281/zenodo.17873069
title: NeuroCHIMERA: Consciousness Emergence as Phase Transition in Neuromorphic GPU-Native Computing

description: Complete dataset and benchmark results for NeuroCHIMERA experiments.

                    This dataset includes:
                    - 6 complete experiments on consciousness emergence
                    - Benchmark results with performance metrics
                    - Implementation code and documentation
                    - Paper HTML version

                    Authors: V.F. Veselov & Francisco Angulo de Lafuente (2025)

                    The experiments demonstrate consciousness emergence as a phase transition
                    in GPU-native neuromorphic computing systems.
DOI: 10.5281/zenodo.17873070
title: NeuroCHIMERA: Consciousness Emergence as Phase Transition in Neuromorphic GPU-Native Computing

description: Complete dataset and benchmark results for NeuroCHIMERA experiments.

                    This dataset includes:
                    - 6 complete experiments on consciousness emergence
                    - Benchmark results with performance metrics
                    - Implementation code and documentation
                    - Paper HTML version

                    Authors: V.F. Veselov & Francisco Angulo de Lafuente (2025)

                    The experiments demonstrate consciousness emergence as a phase transition
                    in GPU-native neuromorphic computing systems.
DOI: 10.6084/m9.figshare.26893884
title: Leveraging Social Cues for Patient–Physician Interactions: The Impacts of Empathy, Interactivity and Social Validation in Mobile Medical Consultations

description: Social cues play a critical role in the exchange of information during patient–physician communication. Although previous research has recognized the impact of social cues on patients’ perceptions and behaviors in mobile medical consultations, little is known about how different combinations of social cues affect the interactions. Employing a within-subject factorial design experiment, this study examined the effects of three social cues—empathic cues, interactivity cues, and social validation—on patients’ perceptions of interactivity, social presence, and trust. A total of 103 participants was recruited. The results revealed the various significant impacts of empathic cues, interactivity cues, and social validation on perceived interactivity, and social validation affected trust, as well as the relationships among these perceptions. The findings suggested strategies for integrating various social cues to enhance patients’ positive perceptions, offering potential benefits to patient–physician communication in mobile medical platforms.
DOI: 10.6084/m9.figshare.26893884.v1
title: Leveraging Social Cues for Patient–Physician Interactions: The Impacts of Empathy, Interactivity and Social Validation in Mobile Medical Consultations

description: Social cues play a critical role in the exchange of information during patient–physician communication. Although previous research has recognized the impact of social cues on patients’ perceptions and behaviors in mobile medical consultations, little is known about how different combinations of social cues affect the interactions. Employing a within-subject factorial design experiment, this study examined the effects of three social cues—empathic cues, interactivity cues, and social validation—on patients’ perceptions of interactivity, social presence, and trust. A total of 103 participants was recruited. The results revealed the various significant impacts of empathic cues, interactivity cues, and social validation on perceived interactivity, and social validation affected trust, as well as the relationships among these perceptions. The findings suggested strategies for integrating various social cues to enhance patients’ positive perceptions, offering potential benefits to patient–physician communication in mobile medical platforms.
DOI: 10.6084/m9.figshare.28303092
title: The Relationship Between Gamification User Types, Demographic Factors, and Gaming Habits

description: Understanding users and consequent personalization opportunities have become a major area of interest in gamification and UX research. Currently, personalization is mainly based on player typologies, which might give a partial picture of the plethora of user attributes. Addressing this challenge, in this study, we investigate the connections of the Hexad gamification user types, demographic factors, and gaming habits to understand how different user factors are related. Our results indicated significant but weak associations between user types and demographic factors and no significant association with gaming frequency-related factors. These results suggest that researchers and designers might need to consider more than the dominant factors to create personalized environments. We also provide exploratory suggestions on possible strategies to personalize gamification based on Hexad and other user factors. Our study contributes to the fields of user modeling and gamification, providing new insights into how different user characteristics are related while opening space for the conduction of new studies in the field.
DOI: 10.6084/m9.figshare.28303092.v1
title: The Relationship Between Gamification User Types, Demographic Factors, and Gaming Habits

description: Understanding users and consequent personalization opportunities have become a major area of interest in gamification and UX research. Currently, personalization is mainly based on player typologies, which might give a partial picture of the plethora of user attributes. Addressing this challenge, in this study, we investigate the connections of the Hexad gamification user types, demographic factors, and gaming habits to understand how different user factors are related. Our results indicated significant but weak associations between user types and demographic factors and no significant association with gaming frequency-related factors. These results suggest that researchers and designers might need to consider more than the dominant factors to create personalized environments. We also provide exploratory suggestions on possible strategies to personalize gamification based on Hexad and other user factors. Our study contributes to the fields of user modeling and gamification, providing new insights into how different user characteristics are related while opening space for the conduction of new studies in the field.
DOI: 10.21950/ncfpka
title: Federico-Tena World Population Historical Database : French Somalia

description: Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: French Somalia
description: Microsoft Excel
description: Web site: <strong>https://www.uc3m.es/investigacion/federico-tena-population</strong>



<strong>SEE MAP</strong>
DOI: 10.6084/m9.figshare.31148986
title: <b>Intestinal Proteomic Study of </b><b>Cottonseed Protein–Based Diets in Channel Catfish (</b><b><i>Ictalurus punctatus</i></b><b>)</b>

description: Cotton meal is a major by-product of cotton processing and is rich in protein, with a crude protein content exceeding 40%, making it one of the most valuable plant-based protein sources for livestock and poultry compound feeds. However, the effects of cottonseed concentrate protein (CPC) as a replacement for fishmeal on the growth performance and metabolic processes of <i>Ictalurus punctatus</i> remain insufficiently understood. Elucidating how CPC-supplemented diets influence fish immunity and metabolism is of significant research interest, as it may support the identification of alternative protein sources for aquafeeds, reduce feed costs, and improve economic efficiency in aquaculture.In this study, proteomic sequencing was performed on gut tissues of fish fed diets in which fishmeal was partially replaced with CPC to investigate diet-induced protein expression changes. A total of 4,774 UniProt entries were identified, encompassing 5,595 proteins and 34,535 peptide fragments across 25 functional classifications. Peptides containing 10 amino acid residues were the most abundant, representing approximately 11% of the total peptide length, with most peptide segments distributed between 7 and 25 amino acids.Comparative analysis revealed 173 differentially expressed proteins, including 160 upregulated and 13 downregulated proteins. Functional annotation showed that 60 proteins were assigned to COG categories, 5 to Swiss-Prot and GO, 172 to KEGG pathways, and 124 to KOG classifications. These differentially expressed proteins were primarily associated with amino acid transport and metabolic processes. Dephenolized cottonseed protein is particularly rich in essential amino acids, especially lysine and cystine, at levels higher than those found in many other plant-derived protein sources. This amino acid composition may influence the expression and activity of amino acid transporter proteins, thereby modulating amino acid transport and metabolism in fish.Overall, this study provides a valuable proteomic resource and a scientific foundation for the development and utilization of cotton meal protein as a sustainable alternative protein source in aquaculture feeds.
DOI: 10.6084/m9.figshare.31148986.v1
title: <b>Intestinal Proteomic Study of </b><b>Cottonseed Protein–Based Diets in Channel Catfish (</b><b><i>Ictalurus punctatus</i></b><b>)</b>

description: Cotton meal is a major by-product of cotton processing and is rich in protein, with a crude protein content exceeding 40%, making it one of the most valuable plant-based protein sources for livestock and poultry compound feeds. However, the effects of cottonseed concentrate protein (CPC) as a replacement for fishmeal on the growth performance and metabolic processes of <i>Ictalurus punctatus</i> remain insufficiently understood. Elucidating how CPC-supplemented diets influence fish immunity and metabolism is of significant research interest, as it may support the identification of alternative protein sources for aquafeeds, reduce feed costs, and improve economic efficiency in aquaculture.In this study, proteomic sequencing was performed on gut tissues of fish fed diets in which fishmeal was partially replaced with CPC to investigate diet-induced protein expression changes. A total of 4,774 UniProt entries were identified, encompassing 5,595 proteins and 34,535 peptide fragments across 25 functional classifications. Peptides containing 10 amino acid residues were the most abundant, representing approximately 11% of the total peptide length, with most peptide segments distributed between 7 and 25 amino acids.Comparative analysis revealed 173 differentially expressed proteins, including 160 upregulated and 13 downregulated proteins. Functional annotation showed that 60 proteins were assigned to COG categories, 5 to Swiss-Prot and GO, 172 to KEGG pathways, and 124 to KOG classifications. These differentially expressed proteins were primarily associated with amino acid transport and metabolic processes. Dephenolized cottonseed protein is particularly rich in essential amino acids, especially lysine and cystine, at levels higher than those found in many other plant-derived protein sources. This amino acid composition may influence the expression and activity of amino acid transporter proteins, thereby modulating amino acid transport and metabolism in fish.Overall, this study provides a valuable proteomic resource and a scientific foundation for the development and utilization of cotton meal protein as a sustainable alternative protein source in aquaculture feeds.
DOI: 10.5281/zenodo.18148953
title: Data for Darvand et al. – Remotely sensed 3D ecosystem structure indicators to explain biodiversity distribution

description: This dataset contains the data used to reproduce the analyses presented in:

Darvand et al. Remotely sensed 3D ecosystem structure indicators to explain biodiversity distribution.

Contents:- Species occurrence table used for SDMs- GEDI-derived predictor - CHELSA climate predictors 

The analysis scripts are available via the associated GitHub repository.
DOI: 10.5281/zenodo.18148954
title: Data for Darvand et al. – Remotely sensed 3D ecosystem structure indicators to explain biodiversity distribution

description: This dataset contains the data used to reproduce the analyses presented in:

Darvand et al. Remotely sensed 3D ecosystem structure indicators to explain biodiversity distribution.

Contents:- Species occurrence table used for SDMs- GEDI-derived predictor - CHELSA climate predictors 

The analysis scripts are available via the associated GitHub repository.
DOI: 10.5281/zenodo.18375179
title: SAXS dataset for saxs-decosmic
DOI: 10.5281/zenodo.18375180
title: SAXS dataset for saxs-decosmic
DOI: 10.5281/zenodo.18375191
title: LINF_320007900

description: B9-type C2 domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18375192
title: LINF_320007900

description: B9-type C2 domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.48372/xtrj-v636
title: Mauve Stinger Logbook Wales 2025
DOI: 10.34894/aevpcl
title: Lippe brick-makers database: sample with geodata

description: &lt;!DOCTYPE html&gt;
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This dataset is part of the &lt;a href="https://datasets.iisg.amsterdam/dataverse/lippe"&gt;Lippe brickmakers project&lt;/a&gt;.
&lt;br&gt;
&lt;br&gt;
This is a small sample taken from the Lippe brickmakers database (&lt;a href="https://hdl.handle.net/10622/ZKS9BA"&gt;https://hdl.handle.net/10622/ZKS9BA&lt;/a&gt;). 
&lt;br&gt;
&lt;br&gt;
This sample was selected with the purpose to experiment with enriching place names with geo-data and transform them to linked open data. 
&lt;br&gt;
&lt;br&gt;
The sample was chosen using the column "signatur", since we assumed that there will be a coherent way to interpret the results if we would use this column, since the archival documents within that arrangement were tied to a specific year. We randomly chose the first signature: 4698 (ARCH03497.1).
&lt;br&gt;
&lt;br&gt;
For the entries in this part of the database, we ran a reconciliation process of the "Wohin" ("where to") column using the &lt;a href="https://whgazetteer.org/"&gt;World Historical Gazetteer&lt;/a&gt;.
&lt;br&gt;
&lt;br&gt;
The resulting data is trustworthy since the reconciliation process was done between the data expert and the main researcher (Jan Lucassen). It resulted in 18 unique place names of which 11 matched to an existing place.
&lt;br&gt;
&lt;br&gt;
We can then observe, for this sample, where the Lippe brick makers went to work in the year 1802.
&lt;br&gt;
&lt;br&gt;
More information about the Lippische Ziegler project can be found in the &lt;a href="https://datasets.iisg.amsterdam/dataverse/lippe"&gt;Lippe brickmakers project dataverse&lt;/a&gt;. The linked data version can be used for exploring and querying the data in this &lt;a href="https://druid.datalegend.net/IISG/-/stories/ziegler"&gt;"data story"&lt;/a&gt; via the linked data publication platform.
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DOI: 10.6084/m9.figshare.28776406
title: Becoming Human: How Perceived Anthropomorphism and Authenticity Influence Romantic Attractiveness of Chat Agents

description: Social chatbots can provide users with specific social and emotional support, and intimate relationships represent an emerging area for exploration. This research describes the current state of self-disclosure in virtual romantic relationship dialogues. It examines the impact of self-disclosure with different emotions on the romantic attractiveness of virtual agents. Study 1 reveals that virtual romantic relationships are predominantly characterized by chat-based Platonic love, where individuals primarily establish these relationships to fulfill romantic needs. Study 2 highlights that perceived dialogue authenticity and anthropomorphism are vital factors attracting users to virtual agents. In contrast, the emotional category of self-disclosed personal stories in dialogues does not affect the romantic attractiveness of virtual agents. In the design of virtual romantic chatbots, more human-like conversational features, such as diverse emotional expressions, may be considered without necessarily maintaining a perpetually positive service demeanor.
DOI: 10.6084/m9.figshare.28776406.v1
title: Becoming Human: How Perceived Anthropomorphism and Authenticity Influence Romantic Attractiveness of Chat Agents

description: Social chatbots can provide users with specific social and emotional support, and intimate relationships represent an emerging area for exploration. This research describes the current state of self-disclosure in virtual romantic relationship dialogues. It examines the impact of self-disclosure with different emotions on the romantic attractiveness of virtual agents. Study 1 reveals that virtual romantic relationships are predominantly characterized by chat-based Platonic love, where individuals primarily establish these relationships to fulfill romantic needs. Study 2 highlights that perceived dialogue authenticity and anthropomorphism are vital factors attracting users to virtual agents. In contrast, the emotional category of self-disclosed personal stories in dialogues does not affect the romantic attractiveness of virtual agents. In the design of virtual romantic chatbots, more human-like conversational features, such as diverse emotional expressions, may be considered without necessarily maintaining a perpetually positive service demeanor.