cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/w7c6xpsrwb.1
title: Alternative splicing of Scn9a exon 5: mechanistic insights and therapeutic potential in pain disorders

description: Raw Data and Statistical Analysis for "Alternative splicing of Scn9a exon 5: mechanistic insights and therapeutic potential in pain disorders"
Abstract: Alternative splicing is a fundamental mechanism of gene regulation that generates transcriptomic and proteomic diversity, and its dysregulation is widely implicated in human diseases. The voltage-gated sodium channel (VGSC) NaV1.7, encoded by SCN9A, plays an essential role in nociceptive signaling, and alterations in its activity are closely associated with inherited pain disorders. In particular, alternative splicing of mutually exclusive exons, 5N and 5A, occurs in human, represents a key regulator of pain sensation in both growth and pathological processes. In this study, we examined the splicing regulatory landscape of exon 5N/5A in the mouse Scn9a gene and identified two potent splicing silencers, including ESS18, which is predominately regulated by the RNA-binding protein HuR. We further discovered a previously unreported Scn9a-Δ5 isoform whose exon 5 skipping induces nonsense-mediated decay, thereby reducing NaV1.7 expression. Based on these findings, we designed a series of MOE/PS-modified antisense oligonucleotides (ASOs) targeting exon 5N/5A and adjacent regions. Among these, ASO 5N (24–43) robustly promoted exon 5 skipping in vitro. Intracerebroventricular administration of this ASO in adult mice significantly enhanced tolerance to thermal and mechanical stimuli, correlating with extensive exon 5 skipping across multiple central nervous system regions. Our results reveal key cis-regulatory elements controlling Scn9a exon 5 splicing and demonstrate the therapeutic potential of exon-skipping ASOs for modulating NaV1.7 expression in pain management.
Key words: NaV1.7; SCN9A; Exon 5N/5A; Alternative splicing; Chronic pain; ASO
Overview: This dataset contains the original, uncropped images and the complete statistical analysis associated with the seven main figures of the related manuscript. All data provided here are the primary sources used to generate the final figures presented in the publication.
Data Structure and Content: The dataset is organized into 8 primary folders and a excel documents corresponding to Figure 1-7 and S1. Each folder contains original uncropped Images. The excel document (statistical analysis. xls) contains all the statistical analysis and raw numerical Data.
Experimental Conditions: For detailed experimental protocols and metadata associated with these images, please refer to the "Materials and Methods" section of the main manuscript.
DOI: 10.17632/bdtn9vj7d7.2
title: Labeled Multi-Stage Android APT Datasets

description: This dataset contains Android device behavior data collected from a physical device to support the detection of multi-stage Advanced Persistent Threat (APT) attacks. It includes resource usage features (CPU, RAM, battery, RX, TX, traffic) and app-level features (permissions, sensors, services), covering multiple APT stages such as Initial Compromise, Credential Access / Privilege Escalation, and Exfiltration.
DOI: 10.17632/tc8dzbzj64
title: Individual longitudinal clinical and laboratory data

description: Longitudinal clinical and laboratory data before and after individual treatment
DOI: 10.17632/tc8dzbzj64.1
title: Individual longitudinal clinical and laboratory data

description: Longitudinal clinical and laboratory data before and after individual treatment
DOI: 10.17632/yw9mwb9cbh
title: ML Prediction Study

description: ML Prediction Study
DOI: 10.17632/yw9mwb9cbh.1
title: ML Prediction Study

description: ML Prediction Study
DOI: 10.17632/fx3rthfjhy
title: Concrete Defects

description: 4 types of Concrete defects
DOI: 10.17632/fx3rthfjhy.1
title: Concrete Defects

description: 4 types of Concrete defects
DOI: 10.17632/dvwwc65cf5
title: Comparative Performance Dataset: Post-Quantum Cryptography Standards vs. Classical Cryptographic Baselines

description: This dataset contains the experimental results and the modular source code developed for the Quantum Privacy Analyzer (QPA) prototype. The project evaluates the performance of Post-Quantum Cryptography (PQC) algorithms, specifically ML-KEM (Kyber) and ML-DSA (Dilithium), against high-security classical baselines (RSA-4096 and ECDSA P-256).

The collected data provides a comprehensive comparison of computational overhead (CPU execution time) and network impact, specifically analyzing how the increased size of PQC cryptographic objects affects TCP/IP communication and fragmentation. This repository supports research into Quantum Agility and the practical transition to quantum-resistant secure communications.
DOI: 10.17632/dvwwc65cf5.1
title: Comparative Performance Dataset: Post-Quantum Cryptography Standards vs. Classical Cryptographic Baselines

description: This dataset contains the experimental results and the modular source code developed for the Quantum Privacy Analyzer (QPA) prototype. The project evaluates the performance of Post-Quantum Cryptography (PQC) algorithms, specifically ML-KEM (Kyber) and ML-DSA (Dilithium), against high-security classical baselines (RSA-4096 and ECDSA P-256).

The collected data provides a comprehensive comparison of computational overhead (CPU execution time) and network impact, specifically analyzing how the increased size of PQC cryptographic objects affects TCP/IP communication and fragmentation. This repository supports research into Quantum Agility and the practical transition to quantum-resistant secure communications.
DOI: 10.17632/4sxr7rktgs
title: Accountability and Civil Society Organizations: An Integrity Maturity Self-assessment publisched by RAC - Revista de Administração Contemporânea

description: Os dados foram estruturados a partir de uma base teórica que consolidou os eixos e indicadores de integridade para OSCs. A partir desses eixos e indicadores, utilizou-se uma escala de integridade para medir a maturidade da integridade conforme descrito no artigo completo publicado pela RAC e que consta na ferramenta em anexo.
DOI: 10.17632/4sxr7rktgs.1
title: Accountability and Civil Society Organizations: An Integrity Maturity Self-assessment publisched by RAC - Revista de Administração Contemporânea

description: Os dados foram estruturados a partir de uma base teórica que consolidou os eixos e indicadores de integridade para OSCs. A partir desses eixos e indicadores, utilizou-se uma escala de integridade para medir a maturidade da integridade conforme descrito no artigo completo publicado pela RAC e que consta na ferramenta em anexo.
DOI: 10.6084/m9.figshare.31343173
title: GALAXY DATASET, data and N-Body simulations, includes derived photometric and all Python null data.

description: This dataset includes Null tables from Python, all derived photometric dat, all photometric data and SED available, and N-Body simulations for two undocumented galaxy’.
DOI: 10.6084/m9.figshare.31343173.v1
title: GALAXY DATASET, data and N-Body simulations, includes derived photometric and all Python null data.

description: This dataset includes Null tables from Python, all derived photometric dat, all photometric data and SED available, and N-Body simulations for two undocumented galaxy’.
DOI: 10.17632/j687yfshwh
title: Data and Code for: A comparison between hypothetical and real rewards in delay discounting tasks.

description: This repository contains the raw data (.xlsx file ) and data analysis (R script) for the comparison between hypothetical and real consumable (liquid) rewards in delay discounting tasks. For this study 24 participants completed 10 sessions according to an ABCBC or BACBC reversal design. Conditions were defined as: A= Hypothetical-Rewards condition, B= Real-Rewards Waiting-Delays condition, and C= Real-Rewards Postponing-Delays (videogame available during the delay for the LLR) condition. The primary dependent variable reported in the article used the Area Under the Curve of the log-transformed delays (AUCLogd) described by Borges et al (2016). AUCLogd values were calculated using the discAUC R package (Friedel, 2023) with a Log10 base. The provided R script replicates the ART-ANOVA, pairwise comparisons, and the other analyses reported in the associated article.
DOI: 10.17632/j687yfshwh.1
title: Data and Code for: A comparison between hypothetical and real rewards in delay discounting tasks.

description: This repository contains the raw data (.xlsx file ) and data analysis (R script) for the comparison between hypothetical and real consumable (liquid) rewards in delay discounting tasks. For this study 24 participants completed 10 sessions according to an ABCBC or BACBC reversal design. Conditions were defined as: A= Hypothetical-Rewards condition, B= Real-Rewards Waiting-Delays condition, and C= Real-Rewards Postponing-Delays (videogame available during the delay for the LLR) condition. The primary dependent variable reported in the article used the Area Under the Curve of the log-transformed delays (AUCLogd) described by Borges et al (2016). AUCLogd values were calculated using the discAUC R package (Friedel, 2023) with a Log10 base. The provided R script replicates the ART-ANOVA, pairwise comparisons, and the other analyses reported in the associated article.
DOI: 10.5517/ccdc.csd.cc2nzhy3
title: CCDC 2472186: Experimental Crystal Structure Determination

description: Related Article: Ruiying Zhang|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/fzd38842kk
title: Assisted phytoremediation of lead-contaminated soils: A systematic review of plant uptake, translocation, and physiological responses

description: Assisted phytoremediation of lead-contaminated soils: A systematic review of plant uptake, translocation, and physiological responses
DOI: 10.17632/fzd38842kk.1
title: Assisted phytoremediation of lead-contaminated soils: A systematic review of plant uptake, translocation, and physiological responses

description: Assisted phytoremediation of lead-contaminated soils: A systematic review of plant uptake, translocation, and physiological responses
DOI: 10.17632/gyggjxs36z
title: TSD-DDoS: A Time-Series Dataset for TCP Flooding Attack Detection and Severity Assessment for Server Health Monitoring

description: Distributed Denial of Service (DDoS) attacks aim to disrupt networked services by overwhelming server resources, thereby preventing legitimate users from accessing critical applications. Among various attack vectors, TCP-based flooding attacks remain particularly impactful due to the widespread use of the Transmission Control Protocol in reliable Internet services such as web applications, cloud back-end systems, databases, and enterprise platforms.

This dataset presents a time-series representation of TCP flooding attack traffic, derived from the widely used benchmark dataset CICDDoS2019. Unlike the original CICDDoS2019 flow-based CSV files, which describe traffic characteristics at the individual TCP flow level, the proposed dataset aggregates network traffic over fixed 5-second time windows, enabling temporal analysis of server load and attack progression.

The dataset was generated by replaying selected CICDDoS2019 packet capture (pcap) files using tcpreplay at varying network speeds of up to 20 Gbps. Network traffic was captured using Wireshark, segmented into consecutive 5-second intervals, and processed to extract time-dependent TCP packet statistics for each interval. This processing strategy enables direct observation of how TCP flooding attacks evolve over time and how they affect server-side traffic intensity.

The resulting dataset focuses on TCP-based flooding behaviors, including TCP-SYN, TCP-SYN-ACK, TCP-ACK, and TCP-RST packet activity. Each time window is represented by a compact set of aggregated features that quantify TCP control packet counts and overall TCP traffic volume. The structured, labeled, and time-indexed nature of the data makes the dataset particularly suitable for the development and evaluation of machine learning–based intrusion detection systems (IDS), including both attack detection and severity assessment models.

The dataset consists of six CSV files. Two primary files represent time-series traffic captured on 12 January and 11 March, corresponding to the training and testing days defined in CICDDoS2019. These files include the following attributes: pcap file identifier, time window index, counts of SYN, SYN-ACK, ACK, and RST packets, and the total number of TCP packets per interval. Additional CSV files are derived from these base datasets and provide labeled samples for TCP-SYN flooding attack detection and attack severity classification.

By providing time-window–based TCP traffic characteristics, this dataset supports research on machine learning–driven intrusion detection, server health monitoring, and adaptive resource management in cloud and virtualized environments, where scaling and mitigation decisions depend on the temporal behavior of incoming traffic rather than individual flow statistics.
DOI: 10.17632/gyggjxs36z.2
title: TSD-DDoS: A Time-Series Dataset for TCP Flooding Attack Detection and Severity Assessment for Server Health Monitoring

description: Distributed Denial of Service (DDoS) attacks aim to disrupt networked services by overwhelming server resources, thereby preventing legitimate users from accessing critical applications. Among various attack vectors, TCP-based flooding attacks remain particularly impactful due to the widespread use of the Transmission Control Protocol in reliable Internet services such as web applications, cloud back-end systems, databases, and enterprise platforms.

This dataset presents a time-series representation of TCP flooding attack traffic, derived from the widely used benchmark dataset CICDDoS2019. Unlike the original CICDDoS2019 flow-based CSV files, which describe traffic characteristics at the individual TCP flow level, the proposed dataset aggregates network traffic over fixed 5-second time windows, enabling temporal analysis of server load and attack progression.

The dataset was generated by replaying selected CICDDoS2019 packet capture (pcap) files using tcpreplay at varying network speeds of up to 20 Gbps. Network traffic was captured using Wireshark, segmented into consecutive 5-second intervals, and processed to extract time-dependent TCP packet statistics for each interval. This processing strategy enables direct observation of how TCP flooding attacks evolve over time and how they affect server-side traffic intensity.

The resulting dataset focuses on TCP-based flooding behaviors, including TCP-SYN, TCP-SYN-ACK, TCP-ACK, and TCP-RST packet activity. Each time window is represented by a compact set of aggregated features that quantify TCP control packet counts and overall TCP traffic volume. The structured, labeled, and time-indexed nature of the data makes the dataset particularly suitable for the development and evaluation of machine learning–based intrusion detection systems (IDS), including both attack detection and severity assessment models.

The dataset consists of six CSV files. Two primary files represent time-series traffic captured on 12 January and 11 March, corresponding to the training and testing days defined in CICDDoS2019. These files include the following attributes: pcap file identifier, time window index, counts of SYN, SYN-ACK, ACK, and RST packets, and the total number of TCP packets per interval. Additional CSV files are derived from these base datasets and provide labeled samples for TCP-SYN flooding attack detection and attack severity classification.

By providing time-window–based TCP traffic characteristics, this dataset supports research on machine learning–driven intrusion detection, server health monitoring, and adaptive resource management in cloud and virtualized environments, where scaling and mitigation decisions depend on the temporal behavior of incoming traffic rather than individual flow statistics.
DOI: 10.17632/4822mm4w54
title: From Geographical Indication (GI) Signals to Purchase: Layered Trust and the Price Bottleneck

description: Geographical indications (GIs) are intended to reduce uncertainty in imported fruit, yet they may increase purchase intention without translating into purchase behavior. Drawing on an extended TPB-value perspective, this study conceptualizes GI perception as a higher-order formative construct (perceived quality, perceived health benefits, and perceived knowledge) and theorizes a layered trust mechanism in which trust in quality spills over into trust in safety. Survey data from Vietnam and Taiwan (N=584) were analyzed using PLS-SEM; MICOM supported measurement invariance, enabling PLS-based multi-group comparisons. GI perception strengthens both trust layers, the quality-to-safety spillover is robust, and trust in safety is the dominant driver of purchase intention. However, perceived price emerges as a post-intention bottleneck that weakens intention-to-(self-reported) purchase conversion, with a sharper constraint in Vietnam than in Taiwan. Overall, the findings clarify when GI signals become value-creating trust and when affordability breaks the trust-to-action link.
DOI: 10.17632/4822mm4w54.1
title: From Geographical Indication (GI) Signals to Purchase: Layered Trust and the Price Bottleneck

description: Geographical indications (GIs) are intended to reduce uncertainty in imported fruit, yet they may increase purchase intention without translating into purchase behavior. Drawing on an extended TPB-value perspective, this study conceptualizes GI perception as a higher-order formative construct (perceived quality, perceived health benefits, and perceived knowledge) and theorizes a layered trust mechanism in which trust in quality spills over into trust in safety. Survey data from Vietnam and Taiwan (N=584) were analyzed using PLS-SEM; MICOM supported measurement invariance, enabling PLS-based multi-group comparisons. GI perception strengthens both trust layers, the quality-to-safety spillover is robust, and trust in safety is the dominant driver of purchase intention. However, perceived price emerges as a post-intention bottleneck that weakens intention-to-(self-reported) purchase conversion, with a sharper constraint in Vietnam than in Taiwan. Overall, the findings clarify when GI signals become value-creating trust and when affordability breaks the trust-to-action link.
DOI: 10.17632/vn8ys3tm9v
title: Skeletal Muscle Lipid Metabolism, Antioxidant Defense, and Glycogen Metabolism Differ Between High- and Low-Feed-Efficient Dairy Cows

description: Supplementary data for the manuscript submitted to Journal of dairy Science
DOI: 10.17632/vn8ys3tm9v.1
title: Skeletal Muscle Lipid Metabolism, Antioxidant Defense, and Glycogen Metabolism Differ Between High- and Low-Feed-Efficient Dairy Cows

description: Supplementary data for the manuscript submitted to Journal of dairy Science
DOI: 10.17632/j3c8b6tsd8
title: From Geographical Indication (GI) Signals to Purchase: Layered Trust and the Price Bottleneck

description: Geographical indications (GIs) are intended to reduce uncertainty in imported fruit, yet they may increase purchase intention without translating into purchase behavior. Drawing on an extended TPB-value perspective, this study conceptualizes GI perception as a higher-order formative construct (perceived quality, perceived health benefits, and perceived knowledge) and theorizes a layered trust mechanism in which trust in quality spills over into trust in safety. Survey data from Vietnam and Taiwan (N=584) were analyzed using PLS-SEM; MICOM supported measurement invariance, enabling PLS-based multi-group comparisons. GI perception strengthens both trust layers, the quality-to-safety spillover is robust, and trust in safety is the dominant driver of purchase intention. However, perceived price emerges as a post-intention bottleneck that weakens intention-to-(self-reported) purchase conversion, with a sharper constraint in Vietnam than in Taiwan. Overall, the findings clarify when GI signals become value-creating trust and when affordability breaks the trust-to-action link.
DOI: 10.17632/j3c8b6tsd8.1
title: From Geographical Indication (GI) Signals to Purchase: Layered Trust and the Price Bottleneck

description: Geographical indications (GIs) are intended to reduce uncertainty in imported fruit, yet they may increase purchase intention without translating into purchase behavior. Drawing on an extended TPB-value perspective, this study conceptualizes GI perception as a higher-order formative construct (perceived quality, perceived health benefits, and perceived knowledge) and theorizes a layered trust mechanism in which trust in quality spills over into trust in safety. Survey data from Vietnam and Taiwan (N=584) were analyzed using PLS-SEM; MICOM supported measurement invariance, enabling PLS-based multi-group comparisons. GI perception strengthens both trust layers, the quality-to-safety spillover is robust, and trust in safety is the dominant driver of purchase intention. However, perceived price emerges as a post-intention bottleneck that weakens intention-to-(self-reported) purchase conversion, with a sharper constraint in Vietnam than in Taiwan. Overall, the findings clarify when GI signals become value-creating trust and when affordability breaks the trust-to-action link.
DOI: 10.17632/5fmcfn4gnx
title: Chemical Peel online data for JAAD

description: Supplementary data for chemical peel injury cases (n=37)
DOI: 10.17632/5fmcfn4gnx.1
title: Chemical Peel online data for JAAD

description: Supplementary data for chemical peel injury cases (n=37)
DOI: 10.17632/mfsc9b3czd
title: Game-Based Assessment of Spatial Cognition Across the Lifespan

description: Game-Based Assessment of Spatial Cognition Across the Lifespan Data Set
DOI: 10.17632/mfsc9b3czd.1
title: Game-Based Assessment of Spatial Cognition Across the Lifespan

description: Game-Based Assessment of Spatial Cognition Across the Lifespan Data Set
DOI: 10.17632/pgp8mj6ms4.1
title: MSU Poultry Piling Dataset

description: The dataset consists of overhead images of brown hens in aviaries at Michigan State University. They are divided into positives (piling instances) and negatives (non-piling instances). They are further divided into train, val and test sets. It can be used to train an image-based piling detector. The number of images in each category are given in the table.

| Folder | Positives | Negatives | Total |
|--------|-----------|-----------|-------|
| Train | 2283 | 5279 | 7562 |
| Val | 261 | 592 | 853 |
| Test | 1276 | 1572 | 2848 |

Total number of images: 11263

## Piling Definition

A positive piling image is one containing a cluster of at least 10 chickens that are sufficiently tightly packed such that individual body outlines are not discernible. This is distinct from an image of crowded chickens that are not so tightly packed and their outlines are visible.