cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dk2djtfcdg.1
title: Data for: Statistical Analysis and Performance Evaluation of Shrike Optimization Algorithm (SHOA)

description: This information was collected from the Shrike Optimization Algorithm (SHOA) simulation results and compared fairly with the Ant Nesting Algorithm (ANA), Moth-Flame Optimization (MFO), Fitness Dependent Optimizer (FDO), Fox Optimization (Fox), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Black Winged Kite Algorithm (BKA), and One-to-One-Based Optimizer (OOBO). The goal is to find the best solutions to the 41 benchmark problems. The algorithm parameters were initialized, including the number of iterations required to minimize a problem, search space, problem dimensions, and control parameters. This maintains a balance between the implementation of various hardness levels of optimization problems and the impact of randomization. The outcomes of the examination were the 

Wilcoxon rank-sum test. 
Friedman means rank. 

Demonstrate that SHOA is statistically superior to the other algorithms in dealing with a variety of numerical optimization problems, including those with varying levels of hardness, problem sizes, and search spaces.
DOI: 10.17632/2cf55yfwr6.1
title: Journal of Studies in Islam and Psychology; No. 1

description: The main objective of Studies in Islam and Psychology is to provide an intellectual platform for national and international researchers to discuss their most recent findings related to Islamic psychology and counseling. By doing so, the journal hopes to improve the status of the field in Iran and in the world and to find solutions to theoretical and practical problems the profession is faced with. To serve this purpose, researchers are encouraged to submit their unpublished, original, full-length papers for potential publication in the journal. 

The journal is set to publish original articles on a wide range of issues including;

 The philosophy of psychology with a critical outlook from the perspective of Islam;
 The uses of psychology in the service of the Islamic society and its needs;
 The formation of psychology in the Islamic society;
 Psychological analysis of Islamic concepts in areas such as:
 1. Anthropology, such as: banned, impatience, hasty, captious, pious, faithful;
 2. Belief, such as: God, resurrection, Imamate, intercession, Paradise, Hell and ...;
 3. Value, such as: repentance, trust, self-esteem, mental relaxation, grief, fear;
 4. Practical instructions of Islam, such as: qisas (retaliation), prayers, inheritance, hajj, khums (one fifth);
 Study of psychological findings from Islamic perspective in terms of critique, confirmation and completion, alternative presentation, presentation of new theory;

To let individual researchers and libraries have access to the most recent research findings in the field, the journal allows open-access to its articles. This journal utilizes the Magiran and Noormags preservation systems to create a distributed archiving system for individual and libraries and to permit libraries stakeholders to create permanent archives of the journal.
DOI: 10.15468/dl.n24b5d
title: Occurrence Download

description: A dataset containing 1702 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dodonaea angustifolia L.fil."
 ]
}

 The dataset includes 1702 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019756-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/87hknxjz76.1
title: Characteristics and the driving factors of vapor condensation in different soil textures

description: Vapor condensation is important for dryland ecosystems. However, the effects of soil type and texture on vapor condensation are not well quantified. In this study, five typical soils were chosen to investigate the influence of soil texture on vapor condensation at a field site on the southern Loess Plateau in Shaanxi, China, using an array of on-site micro-observation cylinders and devices for meteorological measurements. Results showed that: (1) The average daily condensation on gravel, coarse sand, medium sand, loamy sand, and silty loam, showed an increasing trend with the fineness of the soil from 0.133, 0.176, 0.214, 0.309 to 0.609 mm∙d-1, respectively, with significant differences (p &lt; 0.01); (2) The response of different textures to relative air humidity and ground temperature to dewpoint difference varied. With the increasing relative humidity and decreasing ground temperature to dewpoint difference, the condensation increased in different soils; (3) The ratio of condensation in a certain soil to that in the coarse sand (/) is positively and logarithmically related to the soil’s silt-to-sand ratio (Kf) (p &lt; 0.05), with a general fitting equation being , which can be used to estimate the amount of vapor condensation in different soils and provide a reference for the evaluation of dew amount in a soil texture.
DOI: 10.17632/87hknxjz76.2
title: Characteristics and the driving factors of vapor condensation in different soil textures

description: Vapor condensation is important for dryland ecosystems. However, the effects of soil type and texture on vapor condensation are not well quantified. In this study, five typical soils were chosen to investigate the influence of soil texture on vapor condensation at a field site on the southern Loess Plateau in Shaanxi, China, using an array of on-site micro-observation cylinders and devices for meteorological measurements. Results showed that: (1) The average daily condensation on gravel, coarse sand, medium sand, loamy sand, and silty loam, showed an increasing trend with the fineness of the soil from 0.133, 0.176, 0.214, 0.309 to 0.609 mm∙d-1, respectively, with significant differences (p &lt; 0.01); (2) The response of different textures to relative air humidity and ground temperature to dewpoint difference varied. With the increasing relative humidity and decreasing ground temperature to dewpoint difference, the condensation increased in different soils; (3) The ratio of condensation in a certain soil to that in the coarse sand (/) is positively and logarithmically related to the soil’s silt-to-sand ratio (Kf) (p &lt; 0.05), with a general fitting equation being , which can be used to estimate the amount of vapor condensation in different soils and provide a reference for the evaluation of dew amount in a soil texture.
DOI: 10.15468/dl.m4nq5g
title: Occurrence Download

description: A dataset containing 14303 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Clanga hastata (R.P.Lesson, 1831)"
 ]
}

 The dataset includes 14303 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019757-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9byb6m5rbg.1
title: Mind Over Media Dataset

description: The research hypothesizes that a growth mindset positively influences well-being, while perceived peer pressure, fear of missing out, perceived cybervictimization, and social comparison orientation negatively affect well-being. A structural equation modeling approach tests these hypotheses using data from a survey of 612 undergraduate students aged 18–24, exploring relationships between social media use factors, growth mindset, and well-being. The final sample consisted of 612 respondents. These participants’ age range from 18 to 24 years old (Mage = 19.54, SDage = 1.24; 67.5% females, 27.8% males, 4.7% alternatives).

The data was collected through a questionnaire comprised of seven sections including 1) Personal Information (participants provided basic details such as gender, age, and year of study, social media spending time (respondents shared insights into their daily social media usage, including the average time spent on various platforms), 2) PERMA Well-being (this section assessed participants' overall well-being across five dimensions: Positive Emotions, Engagement, Relationships, Meaning, and Accomplishment), 3) Growth Mindset (participants evaluated their beliefs about challenges, obstacles, effort, criticism, and success of others), 4) Social Comparison Orientation (Respondents indicated their tendency to compare themselves to others regarding to abilities and opinions, 5) Perceived peer pressure (participants rated the extent to which they felt pressured by their peers to use social media for various activities), 6) Fear of missing out (respondents assessed their levels of missing out on three aspects of fear of missing out, on social events, news, and commercial), and 7) Perceived cybervictimization (participants reported how often participants experienced four types of cybervictimization: visual cybervictimization, verbal cybervictimization, social exclusion, and impersonation.

Notable findings shows a growth mindset strongly correlates with enhanced well-being, substantiating the hypothesis that personal belief that is malleable promotes better mental health. Social comparison orientation negatively impacts well-being, indicating that unfavorable comparisons on social platforms reduce mental health. However, social comparison’s negative impact on well-being is mitigated by a growth mindset, emphasizing cognitive buffers against social media induced ill-being. In addition, fear of missing out demonstrated a positive association with well-being. This contrasts with its traditionally negative portrayal, suggesting that under certain conditions, staying informed via social media fosters connection and satisfaction.
DOI: 10.5281/zenodo.14178911
title: Bremen Werft Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.25430/researchdata.cab.unipd.it.00001424
title: Hatching with Numbers: How Pre-natal Experience Affects Chicks' Left-to-Right Mental Number Line

description: The present study aims to explore the role of brain lateralization in Space-number association by testing newborn domestic chicks (Gallus gallus) in an ordinal task. Domestic chicks offer the possibility to manipulate the degree of brain lateralization through light exposure during the last period of incubation: light-incubated chicks are strongly lateralized, and dark-incubated chicks are weakly lateralized brains. In two experiments, 100 male chicks were trained to select the fourth element in a series of 10 identical elements. In each experiment, a group of strongly lateralized chicks and a group of weakly lateralized chicks underwent sagittal and three fronto-parallel tests (one in binocular condition and two in monocular conditions). At test, in Experiment 1, both spatial and numerical cues were available by having constant inter-element distance; in Experiment 2, spatial cues were excluded by altering inter-element distance in each trial. In experiment 1, hatch conditions significantly affected the sagittal test: a higher degree of lateralization led to a higher accuracy. In the fronto-parallel left and right tests, there was a main effect of hatch condition and side preference, with interactions showing stronger side biases in light-hatched chicks. In experiment 2, the degree of lateralization did not influence the accuracy and leftward bias in the sagittal test or in the fronto-parallel binocular test. In the fronto-parallel left and right tests, side preferences remained, with an interaction in the fronto-parallel right test showing a right bias only in light-hatched chicks.
The results indicate that the degree of hemispheric lateralization affects performance in ordinal tasks when both spatial and numerical cues are relevant. In contrast, pre-hatching light stimulation did not affect chicks' performance on purely ordinal information processing. These findings suggest that brain lateralization and spatial cues in the environment jointly contribute to the directional SNA.
DOI: 10.17632/j5kxpsmm8f.1
title: Car Model Recognition Dataset: High-Quality Images for Vehicle Classification and Identification

description: Description:
This dataset has been developed for research on car model recognition, specifically targeting minivan, SUV, and sedan car types. It contains high-resolution images capturing various models and conditions to support the development and evaluation of machine learning models in the automotive domain. The dataset is ideal for use in image classification, detection, and object recognition applications.
Dataset Overview:
• Contains images of cars categorized by types: Minivan, SUV, and Sedan.
• Collected from real-world scenarios and social media platforms, ensuring diverse and realistic samples.
• Includes images from multiple car models and varying viewpoints.
Types of Cars:
1. Minivan
2. SUV
3. Sedan
Key Features:
• Number of Images: 1717
• Number of Augmented Images: 11265
• File Formats: PNG, JPEG
Applications:
• Machine Learning: Used for training models in image classification, detection, and recognition for automotive applications.
• Automated Car Parking Systems: Enables intelligent vehicle detection and classification to streamline parking processes.
• Automated Toll Systems: Supports real-time vehicle identification for efficient toll collection.
• Transportation Technology: Facilitates systems for autonomous vehicles and real-time vehicle monitoring.
• Automotive Research: Helps in understanding car design patterns and model differentiation for industry applications.
Dataset Collection:
• Compiled from real-world environments and social media platforms, ensuring a rich variety of images.
• Includes varying lighting conditions, car positions, and angles for robust model training.
DOI: 10.17632/34rmx9sy89.1
title: Does reproductive output differ between related and unrelated male-female pairs of guppies, Poecilia reticulata?

description: Mating with close relatives (‘inbreeding’) is common in small, fragmented populations. Inbreeding leads to a higher frequency of loci with homozygous recessive alleles, which can have serious consequences for offspring fitness (‘inbreeding depression’). In addition, females may differentially invest resources when they mate with a related or a nonrelated male, which might affect offspring fitness. A decline in the value of traits of inbred offspring, particularly traits displayed early in life, may therefore be caused by lower maternal investment when females mate with a relative (i.e. differential allocation) rather than solely being attributable to greater homozygosity of inbred offspring. In this study, we mated female guppies (Poecilia reticulata) to a brother or an unrelated male. We then measured the proportion of females breeding, their gestation time, offspring number, and offspring size at birth. We also tested if offspring traits are related to their mother’s size, and their father’s sexual coloration (‘attractiveness’). Mating with a brother did not lower the gestation time, or the number or the size of offspring at birth. However, smaller females gave birth to fewer, smaller babies; and females mated to males with more black coloration gave birth significantly sooner. In addition, females were more likely to give birth when mated to a male with more black colouration, but only when he was an unrelated male, rather than their brother. In sum, reproductive success did not differ when a female mated with a brother or unrelated male. There was no evidence for either inbreeding depression or differential maternal allocation on early life history traits when mating with a relative.
DOI: 10.17632/hyd6nhg28n.1
title: Serum Metabolomics Reveals Potential Targets and Possible Mechanisms of Chai-Gui Decoction in Lowering Blood Pressure

description: In this open-label trial, we randomly assigned 139 patients with HTN to receive either AHD or CGD and AHD.The data contains the basic information and curative effect indicators of all patients, as well as the original data of serum metabonomics.
DOI: 10.17632/hyd6nhg28n.2
title: Serum Metabolomics Reveals Potential Targets and Possible Mechanisms of Chai-Gui Decoction in Lowering Blood Pressure

description: In this open-label trial, we randomly assigned 139 patients with hypertension to receive either antihypertensive drugs (AHD) or Chai-Gui Decoction (a kind of traditional Chinese medicine prescription) and AHD.The data contains the basic information and curative effect indicators of all patients, as well as the original data of serum metabonomics.
DOI: 10.17632/hyd6nhg28n.3
title: Serum Metabolomics Reveals Potential Targets and Possible Mechanisms of Chai-Gui Decoction in Lowering Blood Pressure

description: In this open-label trial, we randomly assigned 139 patients with hypertension to receive either antihypertensive drugs (AHD) or Chai-Gui Decoction (a kind of traditional Chinese medicine prescription) and AHD.The data contains the basic information and curative effect indicators of all patients, as well as the original data of serum metabonomics.
DOI: 10.17632/hyd6nhg28n.4
title: Serum Metabolomics Reveals Potential Targets and Possible Mechanisms of Chai-Gui Decoction in Lowering Blood Pressure

description: In this open-label trial, we randomly assigned 139 patients with hypertension to receive either antihypertensive drugs (AHD) or Chai-Gui Decoction (a kind of traditional Chinese medicine prescription) and AHD.The data contains the basic information and curative effect indicators of all patients, as well as the original data of serum metabonomics.
DOI: 10.15468/dl.f7q2fc
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Venomous Jellyfish Database (Stings and Specimen) (NESP TWQ 2.2.3, CSIRO)"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019753-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/br68w4gn43.1
title: Metaverse dataset

description: Here are the questions and the prompted and unprompted answers generated with the GPT, GEMINI, QWEN, MISTRAL language model.
DOI: 10.17632/jmcdmnyh2s.2
title: Kenya Nairobi Securities Exchange (NSE) All Stocks Prices 2022

description: This compilation of historical daily stock market price data relates to the Kenyan Nairobi Securities Exchange (NSE) for year 2022 (Jan-Dec). This data is valuable for any machine learning algorithm that needs data (training, validation, testing). This compilation develops on an earlier dataset (2008-2012) that was initially compiled as part of a research project to predict next day stock price, based on the previous five days, using Artificial Neural Networks (ANN). This initial research [1],[2] tested 6 stocks [3] using ANN of configuration 5:21:21:1. The data was then enhanced as a new compilation of all stocks for the period 2007-2012 [4].

This new dataset augments the NSE dataset for 2007-2012 [4], 2013 to 2020 [5] and that for 2021 [6]. The method of data compilation has remained as done for all the other datasets by scrapping from a publicly accessible website [7] licensed by NSE. The processing involves exporting the raw web data to spreadsheets, then cleaning up by removal of unnecessary data elements such as HTML tags and other graphics that cannot be converted to text.

Just like the previous compilations, each stock data row has the following 13 data columns (1) Date (2) Stock Code (3) Stock Name (4) 12-month Low price (5) 12-month High price (6) Day's Low price (7) Day's High price (8) Day's Final Price (9) Previous traded price (10) Change in price value (11) Change in price % (12) Volume traded (13) Adjusted price. One additional CSV file is also provided to show market sector that each stock belongs to. The 3 column headings for this additional CSV are: (1) Market sector (2) Stock Code (3) Stock Name.

This additional dataset provides researchers with an even larger dataset (2007-2022) of stocks market data including market sector information for bigger opportunities of data analysis and usage in machine learning research.

List of data files on this dataset: 
NSE_data_all_stocks_2022.csv 
NSE_data_stock_market_sectors_2022.csv

References: 
[1] Wanjawa, B. W. (2014). A Neural Network Model for Predicting Stock Market Prices at the Nairobi Securities Exchange (Dissertation, University of Nairobi). 
[2] Wanjawa, B. W., & Muchemi, L. (2014). ANN model to predict stock prices at stock exchange markets. arXiv preprint arXiv:1502.06434. 
[3] Wanjawa, Barack (2020), “Nairobi Securities Exchange Prices 2008-2012 for 6 selected stocks”, Mendeley Data, v3, http://dx.doi.org/10.17632/95fb84nzcd.3 
[4] Wanjawa, Barack (2020), “Nairobi Securities Exchange All Stocks Prices 2007-2012”, Mendeley Data, v1, http://dx.doi.org/10.17632/5hk4zw32f5.1 
[5] Wanjawa, Barack (2021), “Nairobi Securities Exchange (NSE) All Stocks Prices 2013-2020”, Mendeley Data, V2, doi: 10.17632/73rb78pmzw.2 
[6] Wanjawa, Barack (2022), “Nairobi Securities Exchange (NSE) Kenya - All Stocks Prices 2021”, Mendeley Data, V5, doi: 10.17632/97hkwn5y3x.5
[7] Synergy Systems Ltd. (2023). MyStocks. Retrieved Jan 31, 2023, from http://live.mystocks.co.ke/
DOI: 10.17632/kwb6zs4jhn.1
title: Dataset Models of Teacher Productivity in Seventh-Day Adventist Foundation High Schools

description: This research explores the relationships between transformational leadership, organizational climate, empowerment, and work motivation, and their impacts on teacher productivity in Seventh-Day Adventist Foundation high schools across North Sulawesi Province. The hypothesis posits significant direct and mediated effects among these variables. Data were collected from 117 teachers using validated Likert-scale questionnaires, with scores categorized into eight frequency intervals for each variable. The results indicate that organizational climate, empowerment, and work motivation significantly enhance teacher productivity, while transformational leadership does not have a direct effect. Moreover, work motivation does not significantly mediate the relationships between the other variables and productivity. The regression model explains 61.1% of the variance in teacher productivity, supported by statistical tests confirming data normality, homoscedasticity, and the absence of multicollinearity. These findings emphasize the importance of fostering a positive organizational climate and empowerment programs, while leadership training should prioritize practices that directly influence productivity. The data and results provide actionable insights for educators, administrators, and policymakers aiming to improve teacher effectiveness and educational outcomes.
DOI: 10.17632/9mttpj6skn
title: status of environmental accessibility to inclusive practice for student with physical disability in cased of dalkoch primary school

description: this data will hepl you more about environmental accessibility to Inclusive practice for students with physical disabiliy
DOI: 10.17632/9mttpj6skn.1
title: status of environmental accessibility to inclusive practice for student with physical disability in cased of dalkoch primary school

description: this data will hepl you more about environmental accessibility to Inclusive practice for students with physical disabiliy