cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ht5dnfgdsk.5
title: Data for: Use of event-related potentials to assess visual–auditory multisensory information in the decision-making processes related to fast-consuming behavior

description: - The allerpdata folder contain the event-related potential data.
- The buying products anonymous excel shows up the buying data.
- The feedback data shows up the behavior data.
- The pre-experimental results anonymous data show up the offline questionnaire results before the actual experiment started. 
- The pre-experimental stimuli folder contains six stimuli to test the match between visual animation and sound effects design. 
- The 'standard and deviant stimuli' film contains the example MMN stimuli in the paper in terms of VSSB (visual standard sound beep), VASB (visual animation sound beep), VASE (visual animation sound effect), VSNS (visual standard no sound) and VANS (visual animation no sound). The sound effect was from the royalty-free sound effect website: https://freesound.org. The original sound effect URL is: https://freesound.org/people/suntemple/sounds/241809/. It is under zero license based on the licenses in the Freesound statement. The visual animation style was based on the professional UX animation guide from the Taras Skytskyi website article - The ultimate guide to proper use of animation in UX. We learned the animation called 'Diagonal appearance for the tabular view of cards.' The corresponding website URL is https://uxdesign.cc/the-ultimate-guide-to-proper-use-of-animation-in-ux-10bd98614fa9. We hope the information above is helpful for researchers to replicate the study. 
- The Stage3_VASE.mp4 file was one of four videos in Stage 3, and VASE was the most promotional in our study result, so we chose to attach it as the representation for further replication. The other two VASB and VANS videos either with the same animation on sound beep or off. VSNS video does not contain any visual animation or sound effects.
- MUT_and_FMUT_anonymous folder shows the cluster data for the erp analysis
DOI: 10.17632/ht5dnfgdsk.1
title: Data for: Using event-related potential to assess visual–audio synesthesia in decision making regarding fast product consumption

description: The musician and non-musician folders contain the event-related potential data.
The buying products correct version anonymity shows up the buying data.
The feedback data shows up the behavior data.
The pre-experimental results anonymous data show up the offline questionnaire results.
DOI: 10.17632/y9pbz7682t.1
title: Hydroxyurea-induced Melanonychia: A Rare Case Report and Review of the Literature

description: Supplemental Table S1: Hydroxyurea-Induced Melanonychia in Patients with Thrombocytosis

This table provides a comprehensive overview of case reports on patients diagnosed with thrombocytosis and treated with hydroxyurea, detailing the emergence of melanonychia—a brown to dark pigmented band on the nails—as a side effect. The parameters observed and presented in this table include the author and publication year, patient demographics (gender and age), the hydroxyurea dosage regimen, the duration of treatment before melanonychia onset, specific nail findings, and whether hydroxyurea therapy was discontinued. Special notes regarding the diagnosis or unique clinical manifestations have been highlighted where relevant. This supplemental information serves to give readers a more in-depth understanding of the prevalence and presentation of hydroxyurea-induced melanonychia in clinical settings and complements the manuscript's primary findings and discussion.
DOI: 10.17632/jw6sr2k3df.1
title: Data on Growth Performance of Marine Chlorella sp. Cultured in Different Cost-effective Media

description: These data describe on growth performance of marine Chlorella sp. cultured in different cost-effective media including cow dung, cow urine, poultry litter, compost, NPK (nitrogen, phosphorus, and potassium), and UTR (Urea, TSP, and red potash)
DOI: 10.17632/jygfjf449d.1
title: Socioeconomic status and economic impact of artificial reefs

description: Survey dataset on socioeconomic status and the economic impact of artificial reefs to the fishing communities in Terengganu coastal waters.
DOI: 10.17632/jygfjf449d.2
title: Socioeconomic status and economic impact of artificial reefs

description: Survey dataset on socioeconomic status and the economic impact of artificial reefs to the fishing communities in Terengganu coastal waters.
DOI: 10.17632/vwmp3nz676.1
title: Integrated analysis of radiomics, RNA sequencing, and clinicopathologic phenotype reveals the underlying biological basis of prognostic risk stratification in colorectal cancer

description: Tumor microenvironment gene set and a part of TCIA_radiomics data.
DOI: 10.17632/k75wsc5p88.1
title: Odin/OSIRIS Na data

description: The Na layer observations measurements in the equatorial region that are used here come from nearly ten years of Na number density measurements made by OSIRIS/Odin during 2004–2013.
DOI: 10.17632/k75wsc5p88.2
title: Odin/OSIRIS Na data

description: The Na layer observations measurements in the equatorial region that are used here come from nearly ten years of Na number density measurements made by OSIRIS/Odin during 2004–2013.
DOI: 10.17632/dhggwzxnrx.1
title: Coding for n-DEL Project

description: Attached is analyzed data (coding) from interviewees through semi-structured interviews:

(1) The nine Serao Ladies or sunhat weavers ranged from 50 to 60 years of age and reside in Tanam Village were interviewed one-on-one from 18th August 2022 to 20th August 2022;

(2) SOCOE is a technology-based business partner with an IR4.0 digital back-end system and an integrator of complex IT systems on 8th August 2022.

An invitation to participate in this study was issued to the Serao Ladies and SOCOE upon receiving ethical clearance on 25th February 2022 (Ref: 20225546-9283).The interview questions were informed by literature and divided into two sets: the first was addressed to the artisans, and the second was to SOCOE. 

Interview Guide: Serao Ladies
1. Tell me about yourself.
2. Can you share how the project came about? 
3. What is your role in the project?
4. How did you become involved in this project?
5. Can you share the processes in creating sunhat?
6. How was this experience for you?
7. What are your hopes for this project?
8. How to further improvement the project?

Interview Guide: SOCOE
1. Can you share with us how the project came about.
2. How was the local community engagement? 
3. What were the aims of the project?
4. What were some of the processes involved in this?
5. What type of economic impacts does this project create for the local community?
6. What do you perceive to be the social value created by this project in the community?
7. What are some challenges you experienced along the way?

This study is the first to use Social Exchange Theory (SET) in Social Entrepreneur (SE) studies and contributed the 'benefits' of socioeconomic transformation, social values, long-term strategies, and 'costs' of challenges variables to SET. This study confirms that SE has facilitated 'socioeconomic transformation' and 'social value' and 'long-term strategies' for rural community, apart from challenges.

'Socioeconomic transformation', 'social value', 'long-term strategies' and 'challenges' are the themes identified during the coding process.
DOI: 10.17632/8py4n46nby.1
title: A Collection of Phished URLs AND Code

description: 1. Phished URL extracted from the PhishTank.
2. Python snippet/code for extraction is also shared.
DOI: 10.17632/fzj8ccp2dj.1
title: Encuestas_Huéspedes

description: Nowadays, the use of information technologies have an impact on decision-making, 
this investigation determines the influence of digital marketing in the decision-making 
process of choosing a hotel in the city of Arequipa in the case of a three-star hotel Cercado.
The study consists in evaluating the variety platforms that are available to external 
customers to analyze and specify the reservation, so an investigation was carried out at an 
explanatory level causal of an application type, for this purpose a sample of 114 guests has 
been considered, one for each arrival. After an exhaustive analysis, it was concluded that 
among the variables: social networks, online advertising and online travel agencies. It´s the 
last optionn that have the that have the greatest influence on the decision to choose the hotel 
under study in the city of Arequipa in 2018.
DOI: 10.17632/ycbzxbwf7p.1
title: Dataset thesis project based on the study of leadership developed at the Graduate School of the National University Pedro Henríquez Ureña

description: Este dataset consiste en la recopilación de datos de un proyecto de grado, realizado en la Universidad Nacional Pedro Henríquez Ureña, en el área de postgrado en Santo Domingo, en la gestión comprendida entre el periodo 2016-2020, con la finalidad de estudiar algunas variables asociadas al estilo de liderazgo desarrollado en la Escuela de Postgrado UNPHU, logrando conocer de qué manera influye el estilo de liderazgo implementado en una instancia académica. ¿Cuáles son las estrategias efectuadas para el avance de la Escuela, y cuáles son las principales oportunidades de desarrollo durante los años que comprende el estudio?

Para este Dataset argumentaremos la metodología para la recolección de los datos y la obtención de los resultados realizados.
DOI: 10.17632/5bx47ttgzt.1
title: Data of "Survival of patients with basal cell carcinoma, squamous cell carcinoma and squamous cell carcinoma in situ: A whole population study." 

description: This file contains three tables containing analysis of the effect of skin cancer on survival: Table 2: Age standardized (ICSS1) relative survival in % and 95% CI, by year (y) of diagnosis 1981-2015, Table 3: Relative survival in %, by age group and 95% CI, for cases diagnosed 2006-2015, and Table 4: Age standardized (ICSS 1) relative survival in % and 95% CI, by body site, for cases diagnosed 2006-2015.
DOI: 10.17632/gsbmknrhkv.3
title: SUT-Crack

description: The SUT-Crack dataset contains high-quality images of asphalt pavement cracks, specifically curated for crack detection using deep learning techniques like classification, object detection, and segmentation. Careful consideration was given during dataset creation to encompass various crack detection challenges, such as oil stains, shadows, and different lighting conditions. The images were captured from a fixed height of 672 mm above the pavement surface, facilitating calibration for real-world crack length measurements. Notably, the dataset also includes geotags, providing precise latitude and longitude coordinates for each image.
DOI: 10.17632/gsbmknrhkv.4
title: SUT-Crack

description: The SUT-Crack dataset contains high-quality images of asphalt pavement cracks, specifically curated for crack detection using deep learning techniques like classification, object detection, and segmentation. Careful consideration was given during dataset creation to encompass various crack detection challenges, such as oil stains, shadows, and different lighting conditions. The images were captured from a fixed height of 672 mm above the pavement surface, facilitating calibration for real-world crack length measurements. Notably, the dataset also includes geotags, providing precise latitude and longitude coordinates for each image.
DOI: 10.17632/gsbmknrhkv.5
title: SUT-Crack

description: The SUT-Crack dataset contains high-quality images of asphalt pavement cracks, specifically curated for crack detection using deep learning techniques like classification, object detection, and segmentation. Careful consideration was given during dataset creation to encompass various crack detection challenges, such as oil stains, shadows, and different lighting conditions. The images were captured from a fixed height of 672 mm above the pavement surface, facilitating calibration for real-world crack length measurements. Notably, the dataset also includes geotags, providing precise latitude and longitude coordinates for each image.
DOI: 10.17632/gsbmknrhkv.1
title: SUT-Crack

description: The SUT-Crack dataset contains high-quality images of asphalt pavement cracks, specifically curated for crack detection using deep learning techniques like classification, object detection, and segmentation. Careful consideration was given during dataset creation to encompass various crack detection challenges, such as oil stains, shadows, and different lighting conditions. The images were captured from a fixed height of 672 mm above the pavement surface, facilitating calibration for real-world crack length measurements. Notably, the dataset also includes geotags, providing precise latitude and longitude coordinates for each image.
DOI: 10.17632/gsbmknrhkv.2
title: SUT-Crack

description: The SUT-Crack dataset contains high-quality images of asphalt pavement cracks, specifically curated for crack detection using deep learning techniques like classification, object detection, and segmentation. Careful consideration was given during dataset creation to encompass various crack detection challenges, such as oil stains, shadows, and different lighting conditions. The images were captured from a fixed height of 672 mm above the pavement surface, facilitating calibration for real-world crack length measurements. Notably, the dataset also includes geotags, providing precise latitude and longitude coordinates for each image.
DOI: 10.17632/3xdbn3y89j.1
title: Plumbago zeylanica (Chitrak) leaf dataset

description: Our dataset comprises images of Plumbago Zeylanica leaves, categorized as Healthy, Unhealthy, and Dried. These high-resolution images are useful for plant health research, machine learning models, and agricultural applications. Metadata includes date, location, and health class. Ethically sourced, this dataset aids in understanding leaf health in Plumbago Zeylanica and is available for academic use with proper citation.
DOI: 10.17632/mjm6shrjfh.1
title: Brahmi dataset : Disease and freshness analysis 

description: The "Brahmi Dataset" offers a comprehensive collection of data, enabling in-depth analysis of Bacopa Monnieri (Brahmi) plants. It includes records of plant health, freshness metrics, environmental factors, and time series observations. Researchers can use this dataset to study disease prevalence, freshness patterns, and environmental influences on Brahmi, making it a valuable resource for botanists, herbalists, and environmental scientists.
DOI: 10.17632/9hgj757b46.1
title: Data and MEP expression for Resilient Modulus in Stabilized aggregate base

description: The programming file for MEP and the dataset for the resilient modulus in stabilized aggregate base are mepx_MR.xml and Multi Expression Programming Calculations, respectively. The Excel file has both input and output information. From column 1 to column 5, the inputs are WDC (wet-dry cycles), CSAFR (ratio of calcium oxide to silica, alumina, and iron oxide compounds in cementitious materials), DMR (ratio of maximum dry density to optimal moisture content), CP (confining pressure), DS (deviator stress), and in column 6, Mr (target resilient modulus parameter).  Col 7 has the MEP expression and the results of calculating the target Mr based on the information in cols 1–5. Col. 9 is the R-squared calculation between actual and MEP-outcomes. The training data for MEP is found in rows 2 through 494, and the testing data is found in rows 495 through 705. In columns 11 and 12, you can compare the published results of the Gene expression programming equation on the same dataset. In the Excel file, you can find the reference. But the results don't match up with the results in the article. A calculation error is possible.
DOI: 10.17632/jfx38z3zrk.1
title: PRDX6 determines the localization and function of GPX4 in lipid peroxidation and ferroptosis

description: Lipidomics raw data
DOI: 10.17632/59nr9kd5xy.1
title: Transgenic Mouse Models Support a Protective Role of Type 1 IFN Response in SARS-CoV-2 infection-related Lung Immunopathology and Neuroinvasion 

description: Western blot data of figures.
Abstrct
Type 1 interferon (IFN-I) response is the first line of host defense against invading viruses. In the absence of definite mouse models, the role of IFN-I in SARS-CoV-2 infections remained to be perplexing. Here, we develop two mouse models, one with constitutively high IFN-I response (hACE2; Irgm1-/-) and the other with dampened IFN-I response (hACE2; Ifnar1-/-) to comprehend the role of IFN-I response. We report that hACE2; Irgm1-/- mice are resistant to lethal SARS-CoV-2 infections. In contrast, a severe SARS-CoV-2 infection along with immune cells infiltration, cytokine storm, and enhanced pathology is observed in the lungs and brain of hACE2; Ifnar1-/- mice. The hACE2; Irgm1-/-Ifnar1-/- double knockout mice display loss of the protective phenotypes observed in hACE2; Irgm1-/- mice suggesting that heightened IFN-I response accounts for the observed immunity. Together, we demonstrate that IFN-I protects from lethal SARS-CoV-2 infection, and Irgm1 (IRGM) could be an excellent therapeutic target against SARS-CoV-2.
DOI: 10.17632/mdddhrspnh.1
title: Dataset of the Contribution of Urban Forests Ecosystem Services in Climate Change Mitigation: A Case Study in the City of Santos - Brazil

description: The increase of urban forest areas through planting actions can be an action that helps in mitigating climate change. However, the focus of the formulation of urban climate policies remains on purely technical measures, with the use of innovative technologies, fuel composition requirements, energy efficiency and actions that encourage the use of renewable energy sources, and the potential of urban forests is largely overlooked by urban climate policymakers. 

This study aimed to evaluate the potential of the mitigating ecosystem service provided by an urban forest fragment (3065 trees) from the city of Santos/SP - Brazil, using the set of mathematical models i-Tree Eco to estimate the annual sequestration and storage of CO2, in addition to valuing the ecosystem service provided. In addition, predictions of the behavior of the fragment were made in the face of scenarios of non-planting (scenario 1), planting of 100 trees/year (scenario 2) and planting of 300 trees/year (scenario 3), during the next 30 years. 

The results showed that the fragment presents moderate species diversity (H ́ = 3.409) and 54% of them originated from South America. It was estimated that the trees present in this study sequester 114.61 tons of CO2 per year and store 1655.17 tons of CO2, representing a measured value of R$ 259,043.91/year and R$ 3,740,915.92, respectively, taking into account the Social Cost of Global Carbon. Regarding the forecasts, only scenario 3 (planting of 300 trees/year) presented a higher number of tree individuals (6638 trees) after 30 years, however only the scenario that did not predict planting (scenario 1) presented a lower rate of sequestration (110.87 TonCO2/year) than the initial one (114.61 TonCO2/year). 

This work contributed vehemently to the scientific discussion about the mitigating potential of urban forests in the face of climate change, providing valuable information that can assist environmental policymakers in climate management and urban forests, recognizing that trees can express monetary value and corroborating their importance to society, which is an additional instrument for environmental policies.
DOI: 10.6084/m9.figshare.24154173
title: Frilled shark transcript contigs

description: Data associated with https://academic.oup.com/gbe/article/15/3/evad028/7048455
DOI: 10.6084/m9.figshare.24154173.v1
title: Frilled shark transcript contigs

description: Data associated with https://academic.oup.com/gbe/article/15/3/evad028/7048455
DOI: 10.17632/yhy76b2c7b.1
title: Unlabelled Arabic Speech Dataset

description: Speech is crucial for communication, especially in the era of artificial intelligence. Many fields, including security and forensics, rely on analyzing speech, where it can be used to identify people, but there's a challenge when it comes to Arabic language data. Most speech analysis models are primarily trained on English data and don't work well with Arabic.

Therefore, a large dataset with over a million Arabic samples was built for training models and improving performance. The samples were collected from Arabic podcasts, so they're clear and noise-free. The audio recordings were extracted and segmented into one-second segments. Then, they were transformed into Mel-spectrograms, using a 22 kHz sampling rate, a frame size of 2048 samples, and a hop length of 512 samples. Researchers working with Arabic speech data can benefit from this dataset to try different machine learning and deep learning models.

Using our dataset to improve Arabic speaker identification, we trained a Siamese speech embedding model. We tested its performance using a benchmark dataset, which can be viewed in the paper titled "Unsupervised Arabic Speech Embedding Model for Speaker Identification" https://ieeexplore-ieee-org.aus.idm.oclc.org/document/10191576.
DOI: 10.17632/ssjj3ww5t3.2
title: A dataset of  psychophysiological analysis in middle-aged adults during the COVID-19 pandemic

description: Using fundamental demographic questions, demographic data were collected, and psychophysiological condition was assessed using validated self-report questionnaires. The Pittsburgh sleep quality index (PSQI), the Hospital Anxiety and Depression Scale (HADS), the Epworth Sleepiness Scale (ESS), the General Sleep Disturbance Scale (GSDS), the Green Climacteric Scale (GCS), and the Constitution in Chinese Medicine Questionnaire (CCMQ) were used to assess sleep quality. It was possible to record signals for systolic blood pressure, diastolic blood pressure, heart rate, low frequency, high frequency, irregular heartbeats, and heart rate variability.
DOI: 10.17632/ssjj3ww5t3.1
title: A dataset of  psychophysiological analysis in middle-aged adults during the COVID-19 pandemic

description: Using fundamental demographic questions, demographic data were collected, and psychophysiological condition was assessed using validated self-report questionnaires. The Pittsburgh sleep quality index (PSQI), the Hospital Anxiety and Depression Scale (HADS), the Epworth Sleepiness Scale (ESS), the General Sleep Disturbance Scale (GSDS), the Green Climacteric Scale (GCS), and the Constitution in Chinese Medicine Questionnaire (CCMQ) were used to assess sleep quality. It was possible to record signals for systolic blood pressure, diastolic blood pressure, heart rate, low frequency, high frequency, irregular heartbeats, and heart rate variability.
DOI: 10.17632/ssjj3ww5t3.3
title: A dataset of  psychophysiological analysis in middle-aged adults during the COVID-19 pandemic

description: Using fundamental demographic questions, demographic data were collected, and psychophysiological condition was assessed using validated self-report questionnaires. The Pittsburgh sleep quality index (PSQI), the Hospital Anxiety and Depression Scale (HADS), the Epworth Sleepiness Scale (ESS), the General Sleep Disturbance Scale (GSDS), the Green Climacteric Scale (GCS), and the Constitution in Chinese Medicine Questionnaire (CCMQ) were used to assess sleep quality. It was possible to record signals for systolic blood pressure, diastolic blood pressure, heart rate, low frequency, high frequency, irregular heartbeats, and heart rate variability.
DOI: 10.17632/spvftz7gbs.2
title: lifts accidents UK and France

description: UK and France lists accidents
DOI: 10.17632/fbgvfp9mnj.1
title: Theoretical study of submerged artificial manmade infrastructures. 

description: Submerged artificial infrastructures in Mediterranean coastal ecosystems.
DOI: 10.17632/m34hh5gbfm.1
title: Processed temperature variances for Mars Science Laboratory, Phoenix, and Pathfinder

description: These files contain MSL REMS temperature variances in an array of solar longitude by local time. The solar longitude is in the Mars Year format, (MY - 24)*360. Phoenix and Pathfinder variances are in an array of solar longitude by local time. The solar longitude format is normal.