cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7b5kbhy3v9.1
title: Graspg – An extension to Grasp2018 based on configuration state function generators

description: The Graspg program package is an extension to Grasp2018 (Froese Fischer et al. (2019) [1]) based on configuration state function generators (CSFGs). The generators keep spin-angular integrations at a minimum and reduce substantially the execution time and the memory requirement for large-scale multiconfiguration Dirac-Hartree-Fock (MCDHF) and relativistic configuration interaction (CI) atomic structure calculations. The package includes the improvements reported in Li (2023) [8] in terms of redesigned and efficient constructions of direct and exchange potentials and Lagrange multipliers. In addition, further parallelization of the diagonalization procedure has been implemented. Tools have been developed for predicting configuration state functions (CSFs) that are unimportant and can be discarded for large MCDHF or CI calculations based on results from smaller calculations, thus providing efficient methods for a priori condensation. The package provides a seamless interoperability with Grasp2018. From extensive test runs and benchmarking, we have demonstrated reductions in the execution time and disk file sizes with factors of 37 and 98, respectively, for MCDHF calculations based on large orbital sets compared to corresponding Grasp2018 calculations. For CI calculations, reductions of the execution time with factors over 200 have been attained. With a sensible use of the new possibilities for a priori condensation, CI calculations with nominally hundreds of millions of CSFs can be handled.
DOI: 10.17632/x7mx8bpfhj
title: AntinoriVR

description: Enhancing International B2B Sales Training in the Wine Sector Through Collaborative Virtual Reality: A Case Study from Marchesi Antinori . Capecchi et al. Detailed results of the recursive clustering procedure—including all focus group sentences, their respective cluster assignments, and distances from second-level cluster centroids.
DOI: 10.17632/x7mx8bpfhj.1
title: AntinoriVR

description: Enhancing International B2B Sales Training in the Wine Sector Through Collaborative Virtual Reality: A Case Study from Marchesi Antinori . Capecchi et al. Detailed results of the recursive clustering procedure—including all focus group sentences, their respective cluster assignments, and distances from second-level cluster centroids.
DOI: 10.17632/v2jkpvd9z4.1
title: pyBoLaNO: A Python symbolic package for normal ordering involving bosonic ladder operators

description: We present pyBoLaNO, a Python symbolic package based on SymPy to quickly normal-order any polynomial in bosonic ladder operators regarding the canonical commutation relations, using Blasiak's formulae. By extension, this package offers the normal ordering of commutators of any two polynomials in bosonic ladder operators and the evaluation of the normal-ordered expectation value evolution in the Lindblad master equation framework for open quantum systems. The package supports multipartite descriptions and multiprocessing. We describe the package's workflow, show examples of use, and discuss its computational performance. All codes and examples are available on our GitHub repository.
DOI: 10.17632/xxc2j9rnjn
title: Cortical Plates and maxillary tuberosity in relation to upper third molars

description: Evaluation of the association between buccal and palatal cortical bone thickness around upper third molars, the dimensions of the maxillary tuberosity, and the anatomical characteristics of the upper third molars.
DOI: 10.17632/xxc2j9rnjn.1
title: Cortical Plates and maxillary tuberosity in relation to upper third molars

description: Evaluation of the association between buccal and palatal cortical bone thickness around upper third molars, the dimensions of the maxillary tuberosity, and the anatomical characteristics of the upper third molars.
DOI: 10.17632/8t3ms3kpb8.1
title: Parenting Impacts on Adolescent Romantic Relationship Dataset (Transformed from ICPSR DS8,9,11)

description: A total of three datasets from the ICPSR were utilized in this study: DS8, which covers demographic and parenting information; DS9, which focuses on general romantic relationship data; and DS11, which provides detailed insights into romantic relationships. Relevant variables from these datasets were merged using IBM SPSS Statistics Data Editor, resulting in a final dataset comprising 53 variables, 1727 records. Of these, 16 variables fall under the demographic and parenting category, while the romantic relationship and detailed romantic relationship categories include 9 and 26 variables, respectively.
DOI: 10.17632/3yd7g2y4dz.1
title: Sentiment Analysis on Twitter Users Towards ChatGPT as a Platform that Supports Marketing Strategies Using the Naïve Bayes Method

description: In a study conducted related to the Shopee application on Google Play with 200 data used, where 100 positive data and 100 negative data, the results showed that the Naïve Bayes method obtained an accuracy of 96.667%.[1]. Another study was conducted related to the Traveloka application on Google Play with the Naïve Bayes method resulting in an accuracy of 91.20% [2].
DOI: 10.17632/gss6y9bnmp.1
title: Study on Consumer Perspectives on the Use of Organic Ingredients and Their Influence on Purchasing Decisions in FnB Businesses

description: This study uses a descriptive qualitative approach that aims to deeply understand consumer perspectives on the use of organic ingredients and their influence on purchasing decisions in FnB businesses, especially in the MSME sector. This approach was chosen because it allows researchers to explore the meaning, experience, and subjective understanding of consumers who have used organic-based food and beverage products.
DOI: 10.17632/65mtsd2kmp.1
title: Plant models and spectral data

description: Plant model data and plant spectral reflectance data in the study
DOI: 10.17632/t3z4y73vd9.1
title: Computational S/U of neutron dosimeters due to geometrical uncertainties for FNG WCLL

description: This data corresponds to the article : "Computational analysis of propagation of geometrical uncertainties to tritium production in FNG WCLL experiment", where a computational study on propagation of the geometrical uncertainties to reaction rates in FNG WCLL experiment neutron dosimeters/detectors. The dosimeter/detector pack positions, as well as the orientation and the position of the FNG neutron source are perturbed by 1\sigma=1mm. The analysis was performed using different nuclear data libraries for neutron transport (FENDL-3.2b, JEFF 3.3 and ENDF/B-VIII.0) and IRDFF-II for neutron reaction rate calculations.
DOI: 10.17632/5f5gsgstbg
title: Productivity Drivers for Brazils Development - Evidence from Poland

description: A panel data from 1990 to 2017, focusing on the impact of investments in human capital, capital formation, R&D expenditure, international trade, governance rules, and management practices. The data source was the Penn World Table (PWT) 9.1 database from the Groningen Growth and Development Centre (GGDC), from 1990–2017 (28 years).
DOI: 10.17632/5f5gsgstbg.1
title: Productivity Drivers for Brazils Development - Evidence from Poland

description: A panel data from 1990 to 2017, focusing on the impact of investments in human capital, capital formation, R&D expenditure, international trade, governance rules, and management practices. The data source was the Penn World Table (PWT) 9.1 database from the Groningen Growth and Development Centre (GGDC), from 1990–2017 (28 years).
DOI: 10.17632/5ygfnsjg24.1
title: de-icing

description: It is optimization result of JDPATS model under different snow conditions.
DOI: 10.15468/dl.qd8xc6
title: Occurrence Download

description: A dataset containing 106852 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Odocoileus hemionus (Rafinesque, 1817)"
 ]
}

 The dataset includes 106852 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008693-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gntnr94wgm
title: FIGURE 10 & FIGURE 11 - CO2 MITIGATION BY PV-T COLLECTORS

description: The dataset contained presented here were used to generate the Figures 10 and 11 in the manuscript about CO2 emissions associated with domestic hot water energy and electricity consumption in the 184 municipalities of Tarragona province of Spain. Included also are data for the emission mitigation provided by the proposed integration of water-based, rooftop-mounted, hybrid photovoltaic-thermal collectors in the residential communities.
DOI: 10.17632/gntnr94wgm.1
title: FIGURE 10 & FIGURE 11 - CO2 MITIGATION BY PV-T COLLECTORS

description: The dataset contained presented here were used to generate the Figures 10 and 11 in the manuscript about CO2 emissions associated with domestic hot water energy and electricity consumption in the 184 municipalities of Tarragona province of Spain. Included also are data for the emission mitigation provided by the proposed integration of water-based, rooftop-mounted, hybrid photovoltaic-thermal collectors in the residential communities.
DOI: 10.17632/pk7txkgt4v.1
title: Visual Dataset of Traditional Portuguese Musical Instruments

description: This dataset was created to support classifying and preserving traditional Portuguese musical instruments using computer vision techniques. The hypothesis is that visual data when systematically organized and labelled, can effectively train machine learning models to recognize and classify Portuguese folk instruments. The dataset includes frames extracted from videos by 'A Música Portuguesa A Gostar Dela Própria' (MPAGDP), an association focused on documenting Portuguese cultural heritage. Five frames per video were selected and normalized to ensure consistency, enabling accurate analysis and model training.

The data can be used to identify features of Portuguese instruments, supporting applications in digital ethnomusicology, automated classification, and cultural studies. Researchers can interpret the data as a tool for deep learning and comparative analysis of visual characteristics across instrument types. This dataset provides a structured foundation for studies in cultural preservation, deep learning, and visual pattern recognition.
DOI: 10.17632/pk7txkgt4v.2
title: Visual Dataset of Traditional Portuguese Musical Instruments

description: This dataset was created to support classifying and preserving traditional Portuguese musical instruments using computer vision techniques. The hypothesis is that visual data when systematically organized and labelled, can effectively train machine learning models to recognize and classify Portuguese folk instruments. The dataset includes frames extracted from videos by 'A Música Portuguesa A Gostar Dela Própria' (MPAGDP), an association focused on documenting Portuguese cultural heritage. Five frames per video were selected and normalized to ensure consistency, enabling accurate analysis and model training.

The data can be used to identify features of Portuguese instruments, supporting applications in digital ethnomusicology, automated classification, and cultural studies. Researchers can interpret the data as a tool for deep learning and comparative analysis of visual characteristics across instrument types. This dataset provides a structured foundation for studies in cultural preservation, deep learning, and visual pattern recognition.
DOI: 10.17632/2jzv5d4v7v.1
title: Enhancing Wind Turbine Gearbox Reliability through Advanced Condition Monitoring and Predictive Maintenance

description: Wind turbine gearboxes are critical components in wind energy systems but are highly susceptible to mechanical failures due to high loads, variable operating conditions, and material fatigue. This study presents an integrated approach utilizing condition monitoring systems (CMS), predictive maintenance algorithms, and finite element analysis (FEA) to enhance gearbox reliability. By analyzing stress distribution, vibration, and temperature trends, we establish a robust methodology for early fault detection. Our results show that artificial intelligence (AI)-based predictive maintenance can reduce unplanned gearbox failures by 40% and increase overall efficiency by 20%. This study provides insights into optimizing wind turbine operation through data-driven maintenance strategies.
DOI: 10.17632/ts6bzb73sc.1
title: Data on ovarian stimulation of donor cows

description: Data on ovarian stimulation of donor cows
DOI: 10.17632/nhzxgw23m4.1
title: PRESS - AMPAR

description: Glutamate mediates fast excitatory neurotransmission by the α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid (AMPA)-type glutamate receptors in the central nervous system (CNS). It has long been shown that glutamate affinity for AMPA receptors is submicromolar but the concentrations of glutamate required to elicit ligand-dependent currents are, depending on exact subunit composition, in the submillimolar range. How is it that glutamate may exert dose-dependent responses in a concentration range at which AMPA receptors are largely saturated, has remained unexplained. Here, we employed a mathematical modeling approach using published reaction rates to show that AMPARs operate in a pre-equilibrium sensing and signaling (PRESS) regime. By operating before equilibrium binding, AMPARs exploit a transient dynamic range shifted to high ligand concentrations. We also show that the key transition enabling PRESS is the fast desensitization step, and that natural regulators of this step, such as transmembrane AMPA-R regulatory proteins, modulate AMPARs dynamic range by modifying the location of the usable transient dose-dependent response region. We speculate that the use of PRESS by AMPARs helps restrict the postsynaptic area of action of this fast transmission. Other receptors with fast desensitization may also take advantage of PRESS to accurately control dose-dependent responses. 

The data provided includes models in COPASI's .cps format, simulated datasets, and an .RMD file to reproduce the paper's figures.
DOI: 10.17632/nhzxgw23m4.2
title: PRESS - AMPAR

description: Glutamate mediates fast excitatory neurotransmission through α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid (AMPA)-type glutamate receptors in the central nervous system. Although it is well known that the glutamate affinity for AMPA receptors is submicromolar, ligand-dependent currents are observed only at submillimolar glutamate concentrations, suggesting a non-equilibrium mechanism of dose-dependent signaling. Here, we developed a mathematical model that leverages published reaction rates to demonstrate that AMPA receptors operate within a pre-equilibrium sensing and signaling (PRESS) regime. By functioning before equilibrium binding, AMPARs exploit a transient dynamic range at high ligand concentrations. Our model reveals that fast desensitization is a key transition enabling this PRESS mechanism. Regulators of this desensitization, such as transmembrane AMPAR regulatory proteins, thus modulate AMPARs dynamic range by modifying the time window in which AMPARs may use pre-equilibrium information. We speculate that the use of PRESS by AMPARs helps restrict the postsynaptic area of action of this fast transmission. Other receptors with fast desensitization may also take advantage of PRESS to accurately control dose-dependent responses.

The data provided includes models in COPASI's .cps format, simulated datasets, and an .RMD file to reproduce the plots in the paper's figures.
DOI: 10.17632/cwjxcdp9gv.1
title: Effectiveness and Safety of Oral Tofacitinib in Patients with Recalcitrant Frontal Fibrosing Alopecia: A Pilot Study

description: Mendeley Supplementary Figure 1. Clinical photographs of a patient with refractory FFA, showing the eyebrows before (A) and after (B) 12 weeks of oral tofacitinib therapy. Notable improvements include increased eyebrow density and length.
DOI: 10.17632/cwjxcdp9gv.2
title: Effectiveness and Safety of Oral Tofacitinib in Patients with Recalcitrant Frontal Fibrosing Alopecia: A Pilot Study

description: Mendeley Supplementary Figure 1. Clinical photographs of a patient with refractory FFA, showing the eyebrows before (3A) and after (3B) 12 weeks of oral tofacitinib therapy. Notable improvements include increased eyebrow density and length.
DOI: 10.17632/x4thhs54y7.1
title: Mapping factory workers' characteristics with emotional states and task performance: a case study in asset maintenance

description: This dataset originates from a laboratory-controlled case study investigating the impact of operator characteristics, emotional states, and task conditions on performance during maintenance activities. It includes data from 22 participants (each completing two trials under varying workload conditions), capturing demographic variables (age, gender, expertise level), task design factors (task complexity and time pressure), and emotional responses using the Self-Assessment Manikin (SAM) for arousal and valence. Objective performance metrics such as task completion time, number of attempts, errors, and success in resolving anomalies are recorded, alongside subjective assessments of task appropriateness relative to participants’ expertise. The dataset supports research on human factors, emotional regulation, and cognitive workload in industrial and maintenance settings.
DOI: 10.15468/dl.kmhdyf
title: Occurrence Download

description: A dataset containing 57377 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Calonectris borealis (Forster, 1772)"
 ]
}

 The dataset includes 57377 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008697-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/v2x8vdfxsg.1
title: mutual fund carbon footprint

description: Fund carbon footprint
DOI: 10.17632/y4pdxgjjry.1
title: Cross-Correlation Functions of Sichuan Basin and Southeastern Tibetan Plateau

description: Stations and its distribution used in seismic tomography in the Sichuan Basin and the southeastern Tibetan Plateau, as well as the cross-correlation functions of the vertical components used. Raw seismic waveform data are available from temporary and fixed stations at the International Earthquake Science Data Center (Doi:10.11998/ISDC).
DOI: 10.15468/dl.arwsvq
title: Occurrence Download

description: A dataset containing 3811 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Canada, United States of America)",
 "TaxonKey is Danaus plexippus (Linnaeus, 1758)",
 "Year 1970-1990"
 ]
}

 The dataset includes 3811 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008700-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cw64bxkym7.1
title: Digital Persuasion on TikTok Live: Consumer Decisions in Fragrance Purchases

description: This research focuses on the following constructs:

Live Streaming Attraction

Consumer Buying Interest

Purchase Decision

The purpose of this research is to investigate how the perceived attraction of TikTok Live streaming influences consumer buying interest in local fragrance products. Using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method, this study examines how elements such as presenter credibility, entertainment value, interactivity, and visual appeal impact consumer purchase decisions. The theoretical framework incorporates the Stimulus–Organism–Response (SOR) model, Theory of Planned Behavior (TPB), and Technology Acceptance Model (TAM) perspectives.

Data were collected through structured questionnaires from 162 respondents of TikTok Live viewers, with validation conducted through SmartPLS 4.
DOI: 10.17632/wyy8dks6hf
title: Supplemental Files for "Increased risk of nonmelanoma skin cancer with cyclosporine, methotrexate, TNF-α inhibitors, and interleukin (IL)-12/23 inhibitor, but not with IL-17 or IL-23 inhibitors in psoriasis patients"

description: ABSTRACT 

Background:
People with psoriasis are at increased risk for nonmelanoma skin cancers (NMSC) and melanoma. Conventional immunosuppressants and TNF-α inhibitors may further increase skin malignancy risk, while the risks of other biologics are less clear. 

Objectives:
Quantify skin malignancy risks in psoriatic patients treated with cyclosporine, methotrexate, apremilast, TNF-α inhibitors, IL-12/23, IL-17, and IL-23 inhibitors. 

Methods:
Using the TriNetX database, psoriasis patients without skin cancer risk factors who received at least two years or at least five years of systemic treatment were compared to non-systemically treated psoriasis patients. Cyclosporine, methotrexate, and TNF-α inhibitors were also compared with other psoriasis biologics. NMSC and melanoma over two and five years were evaluated using multivariable Cox proportional hazards. 

Results:
Compared with non-systemically treated patients, cyclosporine, methotrexate, TNF-α inhibitors, and the IL-12/23 inhibitor showed increased NMSC risk, whereas IL-17 inhibitors demonstrated a reduced risk. Compared with patients treated with cyclosporine, methotrexate, and TNF-α inhibitors, IL-17 and IL-23 inhibitors demonstrated a reduced NMSC risk. Only cyclosporine was associated with elevated melanoma risk.

Limitations:
Unmeasured factors include psoriasis severity, ultraviolet radiation exposure, medication adherence, or dosing. 

Conclusions:
Systemic therapies for psoriasis vary in skin malignancy risk, with IL-17 and IL-23 inhibitors having the lowest NMSC risk.
DOI: 10.17632/wyy8dks6hf.1
title: Supplemental Files for "Increased risk of nonmelanoma skin cancer with cyclosporine, methotrexate, TNF-α inhibitors, and interleukin (IL)-12/23 inhibitor, but not with IL-17 or IL-23 inhibitors in psoriasis patients"

description: ABSTRACT 

Background:
People with psoriasis are at increased risk for nonmelanoma skin cancers (NMSC) and melanoma. Conventional immunosuppressants and TNF-α inhibitors may further increase skin malignancy risk, while the risks of other biologics are less clear. 

Objectives:
Quantify skin malignancy risks in psoriatic patients treated with cyclosporine, methotrexate, apremilast, TNF-α inhibitors, IL-12/23, IL-17, and IL-23 inhibitors. 

Methods:
Using the TriNetX database, psoriasis patients without skin cancer risk factors who received at least two years or at least five years of systemic treatment were compared to non-systemically treated psoriasis patients. Cyclosporine, methotrexate, and TNF-α inhibitors were also compared with other psoriasis biologics. NMSC and melanoma over two and five years were evaluated using multivariable Cox proportional hazards. 

Results:
Compared with non-systemically treated patients, cyclosporine, methotrexate, TNF-α inhibitors, and the IL-12/23 inhibitor showed increased NMSC risk, whereas IL-17 inhibitors demonstrated a reduced risk. Compared with patients treated with cyclosporine, methotrexate, and TNF-α inhibitors, IL-17 and IL-23 inhibitors demonstrated a reduced NMSC risk. Only cyclosporine was associated with elevated melanoma risk.

Limitations:
Unmeasured factors include psoriasis severity, ultraviolet radiation exposure, medication adherence, or dosing. 

Conclusions:
Systemic therapies for psoriasis vary in skin malignancy risk, with IL-17 and IL-23 inhibitors having the lowest NMSC risk.