cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rwpcwpx657.2
title: Data and Code for "Duration-Based Stock Valuation: Reassessing Stock Market Performance and Volatility"

description: This data and code reproduces all Tables and Figures for the paper "Duration-Based Stock Valuation: Reassessing Stock Market Performance and Volatility" in the Journal of Financial Economics by Jules van Binsbergen
DOI: 10.17632/x5yk72bcmc
title: UAV Research

description: This study presents a comprehensive review of UAV-based coastal ecosystem monitoring by analyzing 1,972 research articles published between 2020-2024.
DOI: 10.17632/x5yk72bcmc.1
title: UAV Research

description: This study presents a comprehensive review of UAV-based coastal ecosystem monitoring by analyzing 1,972 research articles published between 2020-2024.
DOI: 10.17632/n62spn549c
title: Raw Data for a Systematic Review Paper

description: Raw Data for the paper - Revisiting Non-Market Strategy in the Decoupling and Digital Era
DOI: 10.17632/n62spn549c.1
title: Raw Data for a Systematic Review Paper

description: Raw Data for the paper - Revisiting Non-Market Strategy in the Decoupling and Digital Era
DOI: 10.17632/fgdcsgbs47
title: Mental Health Vulnerabilities in the Context of Prolonged Blackouts in Cuba

description: This dataset contains anonymized survey data collected to examine the association between prolonged power outages, blackout-related functional disruption, and mental health outcomes among adults residing in Cuba. The data were collected as part of a cross-sectional observational study addressing electricity access as a social determinant of mental health in a low-resource and infrastructure-strained context.

The dataset includes sociodemographic variables, indicators of power outage exposure, indices capturing functional impairment due to blackouts, and standardized measures of depression, anxiety, and stress symptoms. It is intended for secondary analyses related to mental health, environmental stressors, social determinants of health, and public health research in contexts of infrastructural instability.
DOI: 10.5281/zenodo.13212200
title: PHDI and GHG calculation in NHANES
DOI: 10.5281/zenodo.18042895
title: PHDI and GHG calculation in NHANES
DOI: 10.17632/fgdcsgbs47.1
title: Mental Health Vulnerabilities in the Context of Prolonged Blackouts in Cuba

description: This dataset contains anonymized survey data collected to examine the association between prolonged power outages, blackout-related functional disruption, and mental health outcomes among adults residing in Cuba. The data were collected as part of a cross-sectional observational study addressing electricity access as a social determinant of mental health in a low-resource and infrastructure-strained context.

The dataset includes sociodemographic variables, indicators of power outage exposure, indices capturing functional impairment due to blackouts, and standardized measures of depression, anxiety, and stress symptoms. It is intended for secondary analyses related to mental health, environmental stressors, social determinants of health, and public health research in contexts of infrastructural instability.
DOI: 10.17632/4ggtwc7xbs
title: The role of organic matter degradation for anomalous enrichment of mercury in Early Cambrian black shales, South China

description: The dataset includes all the experimental data in the article as well as the TOC/P data collected from the Nanhua Basin.
DOI: 10.17632/4ggtwc7xbs.1
title: The role of organic matter degradation for anomalous enrichment of mercury in Early Cambrian black shales, South China

description: The dataset includes all the experimental data in the article as well as the TOC/P data collected from the Nanhua Basin.
DOI: 10.17632/3n7w5tf9kf
title: Work-function-induced interfacial built-in electric fields in NiO/CoMn2O4 heterojunction for oxygen electrocatalytic reaction and rechargeable zinc air batteries

description: Research data
DOI: 10.17632/3n7w5tf9kf.1
title: Work-function-induced interfacial built-in electric fields in NiO/CoMn2O4 heterojunction for oxygen electrocatalytic reaction and rechargeable zinc air batteries

description: Research data
DOI: 10.17632/53zksp3zyc
title: Without a Ban but With a Bond: Vertical Collectivism and Aversion to Catastrophic Risk

description: Data for the article "Without a Ban but With a Bond: Vertical Collectivism and Aversion to Catastrophic Risk"
DOI: 10.17632/53zksp3zyc.1
title: Without a Ban but With a Bond: Vertical Collectivism and Aversion to Catastrophic Risk

description: Data for the article "Without a Ban but With a Bond: Vertical Collectivism and Aversion to Catastrophic Risk"
DOI: 10.15468/chjh7p
title: A new Cambrian catillicephalid trilobite from the Shallow Bay Formation of western Newfoundland, Canada

description: This dataset contains the digitized treatments in Plazi based on the original journal article Westrop, Stephen R., Dengler, Alyce A. (2022): A new Cambrian catillicephalid trilobite from the Shallow Bay Formation of western Newfoundland, Canada. Acta Palaeontologica Polonica 67 (1): 27-33, DOI: 10.4202/app.00922.2021, URL: http://dx.doi.org/10.4202/app.00922.2021
DOI: 10.17632/9c5yjbk354
title: DDOSDN2025

description: The DDOSDN2025 dataset was generated using a controlled Software-Defined Networking (SDN) testbed designed to emulate a segmented enterprise network environment. The data plane comprises three logical segments: an external attacker host, a client subnet generating legitimate traffic, and a demilitarized zone hosting the victim web server. All hosts are interconnected through a single OpenFlow v1.3 switch and managed by a centralized Ryu L3 controller, enabling full control-plane visibility and flow-level monitoring.

The dataset includes both benign and malicious traffic scenarios. Normal traffic was produced by multiple client hosts transmitting TCP and UDP flows to the web server, generating sustained and diverse legitimate network activity. To represent attack conditions, high-rate volumetric Distributed Denial of Service (DDoS) traffic was subsequently launched from the attacker host toward the victim server. The attack scenarios consist of TCP-SYN flooding, UDP flooding, and ICMP flooding, which reflect commonly studied DDoS vectors in SDN security research.

All traffic traversing the SDN switch was captured at the packet level and subsequently converted into flow-level records using CICFlowMeter. This processing ensures compatibility with standardized flow-based feature extraction workflows widely adopted in SDN-based DDoS detection studies. From the original flow feature space, a compact and standardized subset of eight features was selected, resulting in the DDOSDN2025-8 dataset.

The selected features are Flow Packets per Second, Backward Inter-Arrival Time Total, Backward Packets per Second, Protocol, Packet Length Standard Deviation, Flow Duration, Packet Length Variance, and Maximum Flow Inter-Arrival Time. These features collectively capture key characteristics of traffic rate, temporal dynamics, protocol behavior, and packet size variability. By emphasizing flow intensity and timing irregularities, the feature set effectively represents volumetric and temporal anomalies associated with DDoS attacks while maintaining a lightweight representation suitable for real-time deployment in resource-constrained SDN controllers.
DOI: 10.17632/9c5yjbk354.1
title: DDOSDN2025

description: The DDOSDN2025 dataset was generated using a controlled Software-Defined Networking (SDN) testbed designed to emulate a segmented enterprise network environment. The data plane comprises three logical segments: an external attacker host, a client subnet generating legitimate traffic, and a demilitarized zone hosting the victim web server. All hosts are interconnected through a single OpenFlow v1.3 switch and managed by a centralized Ryu L3 controller, enabling full control-plane visibility and flow-level monitoring.

The dataset includes both benign and malicious traffic scenarios. Normal traffic was produced by multiple client hosts transmitting TCP and UDP flows to the web server, generating sustained and diverse legitimate network activity. To represent attack conditions, high-rate volumetric Distributed Denial of Service (DDoS) traffic was subsequently launched from the attacker host toward the victim server. The attack scenarios consist of TCP-SYN flooding, UDP flooding, and ICMP flooding, which reflect commonly studied DDoS vectors in SDN security research.

All traffic traversing the SDN switch was captured at the packet level and subsequently converted into flow-level records using CICFlowMeter. This processing ensures compatibility with standardized flow-based feature extraction workflows widely adopted in SDN-based DDoS detection studies. From the original flow feature space, a compact and standardized subset of eight features was selected, resulting in the DDOSDN2025-8 dataset.

The selected features are Flow Packets per Second, Backward Inter-Arrival Time Total, Backward Packets per Second, Protocol, Packet Length Standard Deviation, Flow Duration, Packet Length Variance, and Maximum Flow Inter-Arrival Time. These features collectively capture key characteristics of traffic rate, temporal dynamics, protocol behavior, and packet size variability. By emphasizing flow intensity and timing irregularities, the feature set effectively represents volumetric and temporal anomalies associated with DDoS attacks while maintaining a lightweight representation suitable for real-time deployment in resource-constrained SDN controllers.
DOI: 10.17632/pr78hn7nzy
title: Experiment data of sediment settling velocity

description: The sediment samples for this experiment were collected from the middle-lower section of the North Passage on May 14, 2015. The median particle size of the experimental sediment samples was approximately 16μm.
DOI: 10.17632/pr78hn7nzy.2
title: Experiment data of sediment settling velocity

description: The sediment samples for this experiment were collected from the middle-lower section of the North Passage on May 14, 2015. The median particle size of the experimental sediment samples was approximately 16μm.
DOI: 10.17632/jkwfsn9264.2
title: Thallium isotope insights into Mn Oxides as precursor to Ediacaran Mn Carbonate Ore

description: The Supplementary Material presents data in Tables S1–S3, including pyrite framboid diameters, bulk geochemical compositions of samples from the studied Mn deposits (Tl isotopic compositions, major element, trace element, rare earth elements, and Fe speciation), and Re-Os elemental abundances with isotopic ratios.
DOI: 10.17632/5tj9m8nfj9
title: su4-branching: Automated Calculation of Spin-Isospin Branching Rules for SU(4) Irreps

description: The open-source Python package su4-branching automates the derivation of comprehensive spin S and isospin T branching
rules for SU(4) irreducible representations. The Wigner supermultiplet scheme underlying nuclear and hadronic physics depends
critically on SU(4) symmetry. However, practical calculations of branching rules for arbitrary SU(4) irreps have been largely
inaccessible to the research community. Our implementation combines Racah’s tensor contraction formula with Python modularity,
enabling straightforward exploration of high-dimensional SU(4) irreps through interactive Jupyter interfaces and multiple export
formats. Comprehensive validation against three independent reference frameworks (Quesne 1976; Patera 1981; Pan et al. 2024)
and dimensional consistency checks (necessary and sufficient for correctness) demonstrate reliability across dimensions 1–107 .
This work enables systematic group-theoretical investigations in nuclear structure, particle physics, and quantum chemistry.
DOI: 10.17632/5tj9m8nfj9.1
title: su4-branching: Automated Calculation of Spin-Isospin Branching Rules for SU(4) Irreps

description: The open-source Python package su4-branching automates the derivation of comprehensive spin S and isospin T branching
rules for SU(4) irreducible representations. The Wigner supermultiplet scheme underlying nuclear and hadronic physics depends
critically on SU(4) symmetry. However, practical calculations of branching rules for arbitrary SU(4) irreps have been largely
inaccessible to the research community. Our implementation combines Racah’s tensor contraction formula with Python modularity,
enabling straightforward exploration of high-dimensional SU(4) irreps through interactive Jupyter interfaces and multiple export
formats. Comprehensive validation against three independent reference frameworks (Quesne 1976; Patera 1981; Pan et al. 2024)
and dimensional consistency checks (necessary and sufficient for correctness) demonstrate reliability across dimensions 1–107 .
This work enables systematic group-theoretical investigations in nuclear structure, particle physics, and quantum chemistry.
DOI: 10.17632/27phrk4474
title: Proteomic profiling in boar sperm with differential freezabilit

description: Proteomic profiling in boar sperm with good freezability (GF) and poor freezability (PF).
DOI: 10.17632/27phrk4474.1
title: Proteomic profiling in boar sperm with differential freezabilit

description: Proteomic profiling in boar sperm with good freezability (GF) and poor freezability (PF).
DOI: 10.17632/txy8rdkvf8
title: Dataset supporting 'Compounding of 100-year coastal floods by rainfall in an urban environment'

description: This dataset contains the model input and output files used in the study “Compounding of 100-Year Coastal Floods by Rainfall in an Urban Environment.” The data support the results presented in the paper in the paper and are accessible via the following DOI:[10.1088/1748-9326/ae2a55]
DOI: 10.17632/txy8rdkvf8.1
title: Dataset supporting 'Compounding of 100-year coastal floods by rainfall in an urban environment'

description: This dataset contains the model input and output files used in the study “Compounding of 100-Year Coastal Floods by Rainfall in an Urban Environment.” The data support the results presented in the paper in the paper and are accessible via the following DOI:[10.1088/1748-9326/ae2a55]
DOI: 10.17632/dpg7x6rdsr
title: Impact of State-Level Indoor Tanning Legislation on Adolescent Behavior and Ultraviolet Radiation Exposure in the United States: A Policy-Based Narrative Review

description: Supplemental files
DOI: 10.17632/dpg7x6rdsr.1
title: Impact of State-Level Indoor Tanning Legislation on Adolescent Behavior and Ultraviolet Radiation Exposure in the United States: A Policy-Based Narrative Review

description: Supplemental files
DOI: 10.34740/kaggle/dsv/14287028
title: World Athletics Calendar (worldathletics.org)
DOI: 10.17632/bjvntdk25x
title: Single cell RNA-seq of mouse DRG neurons
DOI: 10.17632/bjvntdk25x.1
title: Single cell RNA-seq of mouse DRG neurons
DOI: 10.17632/ybyhxv4czd
title: A Sensor based turning dataset for data-driven surface roughness estimation

description: Machining data for a particularly difficult-to-machine material, namely Inconel-625 is presented. Inconel is widely used in aerospace applications and is difficult to machine as unlike other materials, Inconel does not get softer with increasing temperature. This data set comprises of 27 sets of Accelerometer data and Dynamometer data acquired during the machining of Inconel -625 on a Kirloskar Turnmaster 40 Lathe. A Mitutoyo Surface Roughness Tester was used to measure the surface roughness after each turning operation.
DOI: 10.15468/xjks2w
title: A new species of Chlorita (Hemiptera: Cicadellidae: Typhlocybinae) from southern Italy, with redescription of C. antoniana Dlabola, 1959

description: This dataset contains the digitized treatments in Plazi based on the original journal article Poggi, Francesco (2025): A new species of Chlorita (Hemiptera: Cicadellidae: Typhlocybinae) from southern Italy, with redescription of C. antoniana Dlabola, 1959. Zootaxa 5666 (3): 428-436, DOI: 10.11646/zootaxa.5666.3.7, URL: http://dx.doi.org/10.11646/zootaxa.5360.3.8AbstractThe leafhopper species Chlorita antoniana Dlabola, 1959, endemic to Basilicata and Calabria regions (southern Italy), is redescribed based on new findings and the study of typical and topotypical material; new diagnostic characters, not reported in the original description, are illustrated. Chlorita elvirae sp.nov. is described from Calabria region. Both taxa are monophagous on Artemisia campestris subsp. variabilis. Distribution, biology and habitat data are provided for both species.
DOI: 10.17632/ybyhxv4czd.3
title: A Sensor based turning dataset for data-driven surface roughness estimation

description: Machining data for a particularly difficult-to-machine material, namely Inconel-625 is presented. Inconel is widely used in aerospace applications and is difficult to machine as unlike other materials, Inconel does not get softer with increasing temperature. This data set comprises of 27 sets of Accelerometer data and Dynamometer data acquired during the machining of Inconel -625 on a Kirloskar Turnmaster 40 Lathe. A Mitutoyo Surface Roughness Tester was used to measure the surface roughness after each turning operation.
DOI: 10.17632/pbxpy7wsb9
title: Grade Calculator

description: Students study throughout the year, complete assignments, attend classes, and prepare for exams. After all this hard work, they want to know how well they have performed. This is where grades become very important.
DOI: 10.17632/pbxpy7wsb9.1
title: Grade Calculator

description: Students study throughout the year, complete assignments, attend classes, and prepare for exams. After all this hard work, they want to know how well they have performed. This is where grades become very important.
DOI: 10.17632/p6zgk65tk9
title: Stage-gate framework

description: Developing an integrative stage-gate framework for critical success factors of modular housing projects
DOI: 10.17632/p6zgk65tk9.1
title: Stage-gate framework

description: Developing an integrative stage-gate framework for critical success factors of modular housing projects
DOI: 10.17632/4df2v6ws8k
title: Overtourism And Culture Resilience: Bibliometrics

description: This study seeks to fill this gap by conducting a systematic review of the literature in accordance with the PRISMA guidelines. Using the Scopus database, 400 papers published between 1974 and 2024 were analyzed in a quantitative systematic literature review employing a bibliometric technique in June 2025. We specifically examined the progression of overtourism and cultural resilience studies by investigating (a) published research, (b) titles of sources, (c) types of sources and documents, and (d) keywords from authors. We additionally examined the key domains of overtourism and cultural resilience studies by exploring prevalent themes and the most utilized keywords
DOI: 10.17632/4df2v6ws8k.1
title: Overtourism And Culture Resilience: Bibliometrics

description: This study seeks to fill this gap by conducting a systematic review of the literature in accordance with the PRISMA guidelines. Using the Scopus database, 400 papers published between 1974 and 2024 were analyzed in a quantitative systematic literature review employing a bibliometric technique in June 2025. We specifically examined the progression of overtourism and cultural resilience studies by investigating (a) published research, (b) titles of sources, (c) types of sources and documents, and (d) keywords from authors. We additionally examined the key domains of overtourism and cultural resilience studies by exploring prevalent themes and the most utilized keywords
DOI: 10.17632/k9479s8srr
title: Soil and root properties under different land uses

description: The differences in soil and root properties under different land uses
DOI: 10.17632/k9479s8srr.1
title: Soil and root properties under different land uses

description: The differences in soil and root properties under different land uses
DOI: 10.17632/vvcfht6cc3
title: Nanotherapeutic Macrophage Reprogramming through Immunometabolic and Microbial Modulation for Sepsis Treatment

description: Sepsis is a life-threatening syndrome characterized by dysregulated immune responses and metabolic dysfunction, and remains a major cause of global mortality. While nanomedicine has shown promise in targeting inflammatory pathways, current strategies often fail to comprehensively modulate the complex immunometabolic and microenvironmental networks that regulate macrophage function during sepsis. To address this challenge, we develop a glutathione-responsive nanotherapeutic platform (EONPs) by conjugating the stimulator of interferon genes (STING) inhibitor 4-octyl itaconate to polyethylene glycol, followed by encapsulation of the dihydroorotate dehydrogenase (DHODH) inhibitor EA6. Through integrated transcriptomic, metabolomic, and metagenomic profiling combined with comprehensive in vitro and in vivo pharmacological assessments, we demonstrate that EONPs suppress systemic hyperinflammation, reprogram macrophages toward an anti-inflammatory phenotype, restore gut microbial homeostasis, and protect against multi-organ dysfunction in sepsis models. Notably, we identify that EONPs enhance the production of the microbiota-derived metabolite 5-hydroxyindoleacetic acid (5-HIAA), which synergistically reinforces macrophage immunometabolic reprogramming. Our findings establish a previously unrecognized strategy for precise immunometabolic and microbiota-driven modulation of macrophages, offering a new conceptual framework for advancing nanotherapeutic interventions in sepsis.
DOI: 10.17632/vvcfht6cc3.3
title: Nanotherapeutic Macrophage Reprogramming through Immunometabolic and Microbial Modulation for Sepsis Treatment

description: Sepsis is a life-threatening syndrome characterized by dysregulated immune responses and metabolic dysfunction, and remains a major cause of global mortality. While nanomedicine has shown promise in targeting inflammatory pathways, current strategies often fail to comprehensively modulate the complex immunometabolic and microenvironmental networks that regulate macrophage function during sepsis. To address this challenge, we develop a glutathione-responsive nanotherapeutic platform (EONPs) by conjugating the stimulator of interferon genes (STING) inhibitor 4-octyl itaconate to polyethylene glycol, followed by encapsulation of the dihydroorotate dehydrogenase (DHODH) inhibitor EA6. Through integrated transcriptomic, metabolomic, and metagenomic profiling combined with comprehensive in vitro and in vivo pharmacological assessments, we demonstrate that EONPs suppress systemic hyperinflammation, reprogram macrophages toward an anti-inflammatory phenotype, restore gut microbial homeostasis, and protect against multi-organ dysfunction in sepsis models. Notably, we identify that EONPs enhance the production of the microbiota-derived metabolite 5-hydroxyindoleacetic acid (5-HIAA), which synergistically reinforces macrophage immunometabolic reprogramming. Our findings establish a previously unrecognized strategy for precise immunometabolic and microbiota-driven modulation of macrophages, offering a new conceptual framework for advancing nanotherapeutic interventions in sepsis.