cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/34rczh25kc.4
title: KU-MWQ: A Dataset for Monitoring Water Quality Using Digital Sensors.

description: Water quality depends on many factors. Among them some factors have direct effect in maintaining minimum sustainable environment. The following dataset contains parameters of three basic water quality factors. Temperature, pH factor and Water Turbidity. Two sets of Arduino based digital sensors were used to measure data from two different depths of the water label. Data were collected from a fish pond within the premises of Khan Jahan Ali Hall, Khulna University. Data were recorded 24 hours continuously from 15 January 2020 to 22 January 2020. Recording rate was 1 set of data per minute in average. All the sensors collected data in parallel at the same time. An Arduino Mega microcontroller board acted as the central processing unit and recorded all the sensors’ data altogether. Data file contents: Data 1:: Sensor data for 30 cm.xlsx: Contains raw data from pH sensor, Temperature sensor and Turbidity sensor. This set of sensors was 30 cm underwater. This file has 9623 sets of data each set having 3 data samples from the corresponding sensors. Data arrangement is described below: Column 1: Date and time of data recording in the format of YYYY-MM-DD [hh]:[mm]:[ss]. Time is in 24-hour format. Data are identical for all files. Column 2: Data from Temperature sensor in °C. Temperature values have maximum two decimal places. Column 3: Data from pH sensor. pH values have maximum two decimal places. Column 4: Data from turbidity sensor in “NTU” unit. Data 2:: Sensor data for 60 cm.xlsx: Contains raw data from Temperature sensor and Turbidity sensor. This set of sensors was 60 cm underwater. This file has 9623 sets of data each set having 2 data samples from the corresponding sensors. Data arrangement is described below: Column 1: Date and time of data recording, same as the previous file. Column 2: Data from Temperature sensor in °C. Temperature values have maximum two decimal places. Column 3: Data from turbidity sensor in “NTU” unit. Row-wise data categorisation: Each row represents one set of data for that consecutive time of the day. Considering when the data were taken the rows can be divided into two groups, day time data and night time data. Row 2-116, 811-1445, 2170-2855, 3634-4410, 5156-5885, 6554-7189, 7833-8476, 9078-9624:: Contains day time data from 6:00am to 6:00pm. Row 117-810, 1446-2169, 2856-3633, 4411-5155, 5886-6553, 7190-7832, 8477-9077:: Contains night time data from 6:00pm to 6:00am. These data can also be categorised row-wise based on the weather condition of the day. There are two groups of data that were collected under two different weather conditions. Row 2-6148, 7462-9624:: Contains sensor data from dry day. Row 6149-7461:: Contains sensor data from rainy day. This dataset can be used to determine environmental suitability of the local area for fish farming. Machine learning based projects can use this data for detecting anomalies and forecasting near future aquatic environmental condition.
DOI: 10.17632/82pgy2k6sk.1
title: Design Creativity Raw EEG Recordings - Loosely Controlled Modified TTCT-F Creativity Experiments

description: This dataset contains raw EEG signals recorded from 28 participants during design creativity experiments. The preprocessed version of these EEG signals has been uploaded as a separate dataset in Mendeley Data. More information and a detailed explanation can be found in the dataset, including the preprocessed version. The Preprocessed EEGs can be found at: Zangeneh Soroush, Morteza; Zhao, Mengting; Jia, Wenjun; Zeng, Yong (2023), “Design Creativity: EEG Dataset in Loosely Controlled Modified TTCT-F Creativity Experiments”, Mendeley Data, V1, doi: 10.17632/24yp3xp58b.1 https://data.mendeley.com/datasets/24yp3xp58b/1 The present dataset comprises electroencephalography (EEG) signals captured while participants engaged in creativity tasks. This study involved 29 graduate students, all of whom were right-handed, possessed normal or corrected-to-normal vision, reported sound mental health, and had no history of medical or psychiatric conditions or treatments. The EEG cap placement conformed to the 10-10 international standard system, and EEG signals were recorded using a 64-channel BrainVision actiCHamp, sampled at a frequency of 500 Hz. The creativity experiments were based on a modified version of the figural Torrance Test of Creative Thinking (TTCT-F). In each experiment, participants were presented with three incomplete sketches. They were tasked with three distinct creativity exercises for each sketch: idea generation, idea evolution, and idea evaluation. During the idea generation phase, participants were instructed to intuitively complete a sketch, guided by their initial impression of the image. The idea evolution (IDE) task required participants to create a drawing that markedly differed from the initial sketch. In the idea evaluation (IDR) phase, they assessed the difficulty encountered in both the idea generation and evolution tasks in terms of thinking and drawing. All tasks were self-paced and open-ended, with a maximum duration of three minutes. Additionally, rest periods (RST1 and RST2) of three minutes were incorporated at the start and end of each experiment session. The raw EEGs (this dataset) are neither pre-processed nor segmented. Interested researchers can use these signals to implement their proposed EEG analysis and preprocessing methods. We aimed to contribute to the creation of a more robust and dynamic scientific environment where data can be fully explored and utilized for the advancement of the field. Raw data access would allow other researchers to perform different preprocessing approaches, validate the methodologies, and ensure that the data remains applicable for future studies employing emerging analytical techniques.
DOI: 10.17632/byghzxn6j6
title: liuhanqi

description: Research Data from my essay, including raw data, some codes written by myself
DOI: 10.17632/km23j2bxwf.2
title: An open-source, automated, gas sampling peripheral for laboratory incubation experiments

description: Spectroscopic instruments are becoming increasingly popular for measuring the isotopic composition and fluxes of a wide variety of gases in both field and laboratory experiments. The popularity of these instruments has created a need for automated multiplexers compatible with the equipment. While there are several such peripherals commercially available, they are currently limited to only a small number of samples (&lt;= 16), which is insufficient for some studies. To support researchers in constructing custom, larger-scale systems, we present our design for a scalable gas sampling peripheral that can be programmed to autonomously sample up to 56 vessels – the “multiplexer”. While originally designed to be used with a Picarro cavity ring-down spectroscopy system, the multiplexer design and data processing approach implemented can be easily adapted to serve as a gas sampling/delivery platform for a wide variety of instruments including other cavity ring-down systems and infra-red gas analyzers. We demonstrate the basic capabilities of the multiplexer by using it to autonomously sample head-space CO2 from 14 laboratory-incubated soils amended with 13C-enriched pyrogenic organic matter for analysis in a Picarro G2201-i cavity ring-down spectroscopy system. This dataset includes the raw data and log files generated during the demonstration run of the instrument constructed and the data processing script necessary to analyze the data. Raw data includes outputs from a Picarro G2131i cavity ringdown spectrometer and includes all data needed to calculate respiration rates and carbon mineralization using the included processing script.
DOI: 10.17632/hc7ggnjvpr.2
title: Newdatasett

description: Dataset description Dataset description Dataset description Dataset description
DOI: 10.17632/kbjnh8vkbb.1
title: Tourism Marketing Study Dataset (1977-2019)

description: The tourism marketing study & publication dataset, which was indexed by Scopus from 1977 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/t6myjztj4h.1
title: Supplementary material 1: The utility of ChatGPT in generating patient-facing and clinical responses for melanoma

description: The following questions illustrate sample responses created by ChatGPT
DOI: 10.17632/jgdpjrf584.2
title: Human Walking Locomotion Data on Solid Ground and Sand

description: Dataset of paper "Biomechanical Comparison of Human Walking Locomotion on Solid Ground and Sand". A novel dataset containing 3-dimensional motion and biomechanical data from 20 able-bodied adults for locomotion on solid ground and sand are collected and shared. We presented the data collection methods, explained the structure of the open dataset, and reported the sensor data along with the kinematic and kinetic profiles of joint biomechanics in our paper. A comprehensive analysis of human gait and joint stiffness profiles is also presented. The kinematic and kinetic analysis reveals that human walking locomotion on sand shows different ground reaction forces and joint torque profiles compared to those from walking on solid ground. These gait differences reflect that humans adopt motion strategies for yielding terrain conditions like sand. The dataset also provides locomotion data for researchers to study human activity recognition and assistive devices for walking on different terrain conditions.
DOI: 10.17632/8j7fwfk8g3.1
title: Visual number sense for real-world scenes shared by deep neural networks and humans

description: This study investigated the number perception of scenes using AlexNet. The study findings show that numerosity can be represented by the pattern of group activation of the category layer units. We believe that our study makes a significant contribution to the literature because it is the first to show that a distinct feature in visual environments, revealed by deep neural networks, can modulate human numerosity perception, supported by a group-coding mechanism.
DOI: 10.15468/dl.stkzq7
title: Occurrence Download

description: A dataset containing 724 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oxytenanthera Munro"
 ]
}

 The dataset includes 724 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009379-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kvgv42557d.1
title: Data for: Does inflation worsen income inequality? A meta-analysis

description: Abstract of associated article: Despite extensive econometric evidence, the research literature has been unable to draw firm conclusions regarding the effect of inflation on income inequality. In this paper, we apply meta-regression methods to a novel data set of 1767 estimates reported in 124 published studies that investigate the effect of inflation on income inequality. We distinguish between estimates that examine the effect of inflation on levels of income inequality and those that examine the effect of inflation on differences of income inequality. For level estimates, not controlling for moderator variables points to mild publication bias in favor of positive estimates (i.e., the current literature favors publishing studies that find that inflation increases income inequality), but publication selectivity does not hold once we control for a set of moderator variables. For difference estimates, mild publication bias in favor of negative estimates is found only once we control for moderator variables. In addition, our results suggest that inflation has a (small-to-moderate) inequality increasing effect for both level and difference estimates. Furthermore, we show that several factors influence reported estimates, including researcher choices concerning the measurement of inflation and inequality, the characteristics of data and estimation methods, and controlling for other components of inequality.
DOI: 10.17632/9tyjnthbgg.2
title: Earthquake waveforms recorded by a dense seismic array in South China in June and August, 2021

description: Seismograms of events with magnitudes larger than 5.2 from 23 June, 2021 to 27 August, 2021. The data contain station-wise recordings in sac format. All the info needed is stored in the sac head files.
DOI: 10.17632/brfgw46wzb.2
title: CoLeaf DATASET

description: The dataset contains 1006 leaf images grouped according to their nutritional deficiencies (Boron, Iron, Potasium, Calcium, Magnesium, Manganese, Nitrogen and others). CoLeaf dataset contain images that facilitate training and validation during the utilization of deep learning algorithms for coffee plant leaf nutritional deficiencies recognition and classification.

Please cite:
Victor A. Tuesta-Monteza, Heber I. Mejia-Cabrera, Juan Arcila-Diaz,
CoLeaf-DB: Peruvian coffee leaf images dataset for coffee leaf nutritional deficiencies detection and classification,
Data in Brief, Volume 48, 2023, 109226, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2023.109226.
DOI: 10.17632/pfsj2pbn45.1
title: Dataset on Guar Gum rheological properties and reservoir modelling

description: The dataset describes the rheological properties of the guar gum at different concentrations. After each weight sample has been dissolved in water, the properties are measured using an ofite 800 model viscometer to measure viscosity and shear stress trends Tables 2, 3, 4, and 5.  Figures 1,2 and 3 describe the relative properties of the reservoir fluids incorporated as keywords in the Eclipse software.  Tables 10 and 11 show the well trajectory for the producer and injector wells.
DOI: 10.17632/j5gd4ndd2g.1
title: Supplemental material for "Tildrakizumab efficacy, drug survival, and safety are comparable in patients with psoriasis with and without metabolic syndrome: Long-term results from two phase 3 randomized controlled studies (reSURFACE 1 and reSURFACE 2)"

description: Supplemental material for Lebwohl, et al., "Tildrakizumab efficacy, drug survival, and safety are comparable in patients with psoriasis with and without metabolic syndrome: Long-term results from two phase 3 randomized controlled studies (reSURFACE 1 and reSURFACE 2)," J Am Acad Dermatol, 2020
DOI: 10.17632/29n2z5r5ph.3
title: Mars et al, IBS multi-omics

description: metagenomics taxa tables, source data for metabolomics, human transcriptome and cytokine measurements
DOI: 10.17632/jfpbwmd5nn.1
title: Sumber Sirah Nabawiyah

description: ABSTRACT

Sirah means the details of a person's life or the History of a person's life. Ibn Mandzur in the Arabic book Lisanul states that the meaning of as-sirah according to language is habit, path, method and behavior. In general terms, it means the details of a person's life or the history of a person's life. The discussion of Sirah Nabawiyah focuses on the journey and life story of the Prophet Muhammad  in detail. The discussion also emphasizes personal traits, morals and the way he lives his daily life that can be emulated. Meanwhile, history is only discussed about events that are considered important that occurred in the past. The Nabawiyah sirah is sourced only from verses of the Al-quran, the hadith of the prophet, and the history of his companions. Through this paper, we provide reliable sources as references when conveying the Sirah of the Prophet Muhammad SAW.

Keywords: Source, Sirah, Nabawiyah, Al-Quran, Hadith

 

ABSTRAK

Sirah artinya adalah perincian hidup seseorang atau Sejarah hidup seseorang. Ibnu Mandzur dalam kitab Lisanul Arab menyatakan arti as-sirah menurut bahasa adalah kebiasaan, jalan, cara, dan tingkah laku. Menurut istilah umum, artinya adalah perincian hidup seseorang atau sejarah hidup seseorang. Sirah Nabawiyah pembahasannya bertumpu kepada perjalanan dan kisah hidup Nabi Muhammad  secara rinci. Pembahasan juga menekankan sifat pribadi, akhlak serta cara dia menjalani kehidupan sehari yang bisa diteladani. Sedangkan sejarah pembahasannya hanya mengenai peristiwa-peristiwa yang dianggap penting yang terjadi pada masa lampau. Sirah Nabawiyah bersumber hanya dari ayat Al-Quran, hadits nabi, dan riwayat para sahabat dia. Melalui makalah ini menyampaikan sumber-sumber yang dapat dipercaya sebagai rujukan ketika menyampaikan Sirah Nabi Muhammad SAW.

 

Kata kunci: Sumber, Sirah, Nabawiyah, Al-quran, Hadis
DOI: 10.17632/fbnsnh3fk6.1
title: PREVALENCE OF MUSCULOSKELETAL INJURIES IN GYM GOING ADULTS: A SURVEY STUDY

description: TITLE- PREVALANCE OF MUSCULOSKELETAL INJURIES IN GYM GOING ADULTS: A SURVEY STUDY
Background and Objective- Gym workouts have well documented advantages but despite of advantages participating in these activities can also lead to musculoskeletal injuries. This survey study aims to investigate how prevalent these injuries among gym going adults. By collecting data, we can come to know about the potential risk associated with gym exercise and also develop preventive measures.
Methodology- A survey was done to evaluate musculoskeletal injuries for 317 participants. A self-designed survey questionnaire was created to data on demographics, duration of gym going , purpose of gym going and part of body got injured etc. For this Google form has been created and share via scanning QR code and online sites.
Results- Result of the study is that out of 317 participant’s 85 participant’s experiences injury while doing gym exercises in the percentage of 27% and others will not. Most commonly injured part is shoulder in 35% participants. 55% of the participants accepting that there would be a relationship between the absence of instructor during training and injury and 45% were not accept that there could be any relationship.
Conclusion- The present study shows that only 27% people in the gym experiences injuries. This study shows that there is the relationship between the presences of trainers and occurrence of injury. When there is trainer present in the gym at the time of performing exercise, the rate if occurrence of injury is less and vice versa.
Keywords - Musculoskeletal Injuries, Pain, Musculoskeletal pain, Soft tissue injuries, Prevalence.
DOI: 10.17632/p32vrn9dtz.1
title: Dataset on the Digital Leadership, Artificial Intelligence and Accounting Profession.

description: VALUE OF THE DATA
• The data provides valuable insights into how AI impacts accounting, helping optimize resources and boost competitiveness.
• Other researchers can use the data to investigate AI adoption and its effects on financial management.
• Researchers can compare the dataset with others globally for cross-cultural insights into AI adoption in accounting.
• The dataset supports evaluation of digital leadership strategies' effectiveness in enhancing AI adoption.
DOI: 10.17632/k7jpvv33sm.1
title: Data and Code for Manuscript Titled "Optimal Sizing of Hybrid High-Energy/High-Power Battery Energy Storage Systems to Improve Battery Cycle Life and Charging Power in Electric Vehicle Applications"

description: The research data is associated with the article entitled "Optimal Sizing of Hybrid High-Energy/High-Power Battery Energy Storage Systems to Improve Battery Cycle Life and Charging Power in Electric Vehicle Applications". It includes the hybrid battery model including performance and lifetime modes as well as energy management. Likewise, MATLAB m-files for optimal sizing by the genetic algorithm are included in the dataset. The folder titled "Drive cycle data" includes speed and power data of the Mitsubishi i-MiEV over NEDC and WLTP (class 3) driving cycles.
DOI: 10.17632/thp8v37d7d.1
title: Analysis of questionnaire data on the influencing factors of Ant Forest user loyalty

description: This study employs a modified Technology Acceptance Model (TAM) to explore factors influencing the loyalty of green virtual game users, combined with empirical research on Ant Forest. It integrates variables such as corporate social responsibility, corporate credibility, corporate image, and gaming motivations to analyze the impact of perceived ease of use and perceived usefulness on user loyalty. A total of 422 questionnaires were collected online, and after removing those with a duplication rate exceeding 90%, 417 valid responses were obtained and analyzed using structural equation modeling.
The results show that all factors positively influence user loyalty, with corporate credibility having the strongest impact. This study clarifies the logical relationships between corporate social responsibility, credibility, and image, and reveals the important role and potential of green virtual games in guiding users' green behavior and promoting a shift toward sustainable development in society.
DOI: 10.17632/b4psgc3y6g.1
title: Soil erosion and carbon storage (2001-2020) for the farm of the Faculty of Agricultural Sciences Sabaragamuwa University of Sri Lanka

description: The database consists maps of soil erosion and carbon storage in the farm of the Faculty of Agricultural Sciences Sabaragamuwa University of Sri Lanka. The database contains predictive soil erosion, total soil loss, sediment export, sediment retention maps and total carbon storage maps in raster format for the 2001-2020 period.
DOI: 10.15468/dl.zjqrgk
title: Occurrence Download

description: A dataset containing 2556 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyrus calleryana Decne.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 2556 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009380-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3js36dgn6x.1
title: Evaluation of the main agroecological structure for two major agroecosystems in Sumapaz, Colombia

description: The main agroecological structure is an integral index to evaluate climate change adaptation capacity of major agroecosystems (farms) that includes social, environmental and economical aspects. For this reason we set as the research hypothesis that the major agroecosystems in the area of influence of the village of Nazareth, Sumapaz, Colombia that have a stronger agroecological structure have a greater adaptation capacity to climate change than those that don't.

In this dataset, each file is the evaluation of the main agroecological structure for each of the major agroecosystems. Since the main agroecological structure is composed of 10 criteria, the workbook has several sheets where every criterion is evaluated according to what was found during the fieldwork and spacial analysis. It is important to highlight that every criterion is composed by indexes that have a quantification, which are then averaged to obtain a final value and its interpretation accordingly to the methodology (this is found in the last sheet named "MAS").