cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nv4jxhp8md.1
title: Protein myristoylation modification omics mass spectrometry of iWAT

description: Sixteen 8-week-old male C57BL/6J mice were injected with adenovirus expressing Eepd1-Flag (1x10^8/mouse) into multiple sites in their iWAT. Three days later, each mouse was administered 50 mg/kg of myristic acid solution (prepared in 0.1% BSA) via oral gavage. Half of the mice were then exposed to 8°C for 16 hours in a cold chamber, while the other half remained at room temperature (8 mice per group). Subsequently, iWAT was collected from the mice, and proteins were lysed using IP lysis buffer (50 mM Tris-HCl, pH 8.0, 150 mM NaCl, 1 mM EDTA, 1% Triton X-100, and 0.5% sodium deoxycholate). Eepd1 protein was enriched using flag beads (Smart-Lifescience). The enriched beads were processed with non-contact ultrasound, and protein concentration was determined. Proteins were reduced, alkylated, and precipitated overnight with acetone : acetic acid (100 : 0.1). After centrifugation and washing, trypsin digestion was performed overnight at 37°C. The supernatant was concentrated, desalted, and dissolved in 0.1% formic acid for detection by nano-LC-IMS-MS in diaPASEF mode. MS scanning ranged from 100-1700 m/z, with 32 DIA windows of 26 Da width. Spectronaut 18 software was used for qualitative analysis, and MaxLFQ for protein group quantification. Differences between groups were analyzed by t-test with BH-corrected Q-values.
DOI: 10.17632/x46s9zj8n6.1
title: Dataset on Human Rights Awareness and the Right to Water and Sanitation in Northwest Nigeria

description: The data contain responses from 780 respondents in a survey conducted in the seven States of Northwest Nigeria on human rights awareness and the right to water and sanitation.
DOI: 10.17632/vr2bfg8ztt.1
title: Dataset for A Cross-Sectional Analysis of College Students’ Diet, Mental Health, and Hindrances to Healthy Lifestyles

description: This dataset contains the raw Qualtrics outputs for the three iterations of my study. A large public university in the Northeast was surveyed to collect data for the Fall 2022, Spring 2023, and Fall 2023 academic semesters.
DOI: 10.17632/pyt7kzr5f2.1
title: Colour Emoji Dataset

description: Reaction time and accuracy data for colour emoji categorisation task
DOI: 10.17632/xz6f8bw3w8.1
title: Historical Arabic Handwritten Text Recognition Dataset

description: A collection of rich historical Arabic text, spanning different geographies across centuries, is present in this dataset. Experts have meticulously transcribed forty historical pages, each five from a distinct book, providing the textual ground truth for each image.

No data as such has been made available publicly previously, up to our knowledge. This intends to contribute to deep learning OCR modeling and testing by practitioners and researchers interested in Arabic OCR and correction.
DOI: 10.17632/6tm2d6sz7p.1
title: Phishing Detection Dataset

description: This dataset consists of 247950 instances, of which 128541 are from phishing URLs and 119409 are from legitimate URLs.   It encompasses 41 features and 1 target variable (0=legitimate,1=phishing), making it suitable for implementing machine learning algorithms to identify phishing attacks.
DOI: 10.17632/5frjd5rv27.1
title: Insights into the Biology of Hearing and Deafness Revealed by Single-Cell RNA Sequencing. Ranum et al.

description: This archive contains the scRNA-Seq counts matrix and experimental metadata from "Insights into the Biology of Hearing and Deafness Revealed by Single-Cell RNA Sequencing" by Ranum et al. A complete archive of raw data from this study is accessible from the Gene Expression Omnibus (GEO) Accession: GSE114157.
DOI: 10.17632/fz3yhx3trc.2
title: Data for "The impact of behavioral and team characteristics on football club fans' consumption in Brazil" published by PODIUM Sport, Leisure and Tourism Review

description: Repository of supplementary research files for " The impact of behavioral and team characteristics on football club fans' consumption in Brazil ". There are four files available: 1) the original article published in PODIUM Sport, Leisure and Tourism Review in Portuguese; 2) the article translated into English for more effective dissemination; 3) raw database in .csv format; and 4) structured and organized database in .sav format.

The variables are operationalized in sections 3.2 and 3.3 of the article. The coding of the database may be found in the article's Appendix, which also contains the research questionnaire.


Abstract of article:

Objective of the study: The purpose of this study was to see how team image, behavioral loyalty, psychological commitment, and team qualities affect the consumption behavior of football club fans.
Methodology/Approach: The suggested model was tested using PLS-SEM, with the goal of maximizing the explanation of the variance of the endogenous variable of interest. A structured questionnaire distributed to Brazilian fans received 330 responses.
Originality/Relevance: Based on six artifacts from the questionnaire, an original concept for the building of the composite construct "Consumer Fan" was selected. Based on prior findings, this is the first study to examine fan consumption behavior using team image, behavioral loyalty, psychological commitment, fan characteristics, and team attributes.
Main results: The findings revealed that psychological commitment, behavioral loyalty, team image, football practice, income, team success, and the origins of the relationship with the favorite team all had a substantial positive impact on the consumption behavior of Brazilian football club fans.
Theoretical/methodological contributions: The study's key contribution is the unique combination of diverse conceptions and sociodemographic and behavioral factors to measure fan consumption potential, filling a crucial theoretical gap. It is also worth mentioning that this study focuses on the fan as a consumer, which has not before been studied in the literature.
Contributions to management: This research suggests techniques for managers to improve fans' consumption potential. The necessity of creating a fan's psychological connection to the team is emphasized.
DOI: 10.17632/fp77hgb466.2
title: Data for: Introgression is widespread in the radiation of carnivorous Nepenthes pitcher plants
DOI: 10.17632/bj28ycg3n2.1
title: Plos One Makhija et al 2024

description: These are the raw images of MSCs from which the data for following figures was generated: Fig. 5B, Fig. S5C,D, Fig. S7, Fig. S8
For each of the 5 donors (LzMSC3, LzMSC5, LzMSC6, LzMSC7, and SCT1), corresponding to each time point (day 3, 6, 9, 12), there are 3 replicate wells included in this data set. Each image comprises of two channels, corresponding to actin stain and DAPI stain for nucleus. Whole-well overview images of actin and nucleus were captured on Olympus IX83 fluorescence microscope using 4X objective and tile-scan option in Metamorph software. Individual tiles were 2048 x 2048 pixels, pixel size was 1.6 microns. Image tiles were stitched using the “Stitching” plugin in ImageJ. Individual wells were then cropped manually from the stitched images using the circular cropping tool in ImageJ (radius 3636 pixels). Note that the stitching often generated artefact in the form of high intensity at the junctions between neighboring tiles. However, we observed that these intensity artefacts did not affect quantification of coherency from whole-well actin images.
DOI: 10.17632/y8ph45msv8.1
title: UMUDGA - University of Murcia Domain Generation Algorithm Dataset

description: In computer security, network botnets still represent a major cyber threat. Concealing techniques such as the dynamic addressing and the Domain Name Generation Algorithms (DGAs) require an improved and more effective detection process. To this extent, this data descriptor presents a collection of over 30 million manually-labelled algorithmically generated domain names decorated with a feature set ready-to-use for Machine Learning analysis. This proposed data set enables researchers to move forward the data collection, organization and pre-processing phases, eventually enabling them to focus on the analysis and the production of Machine-Learning powered solutions for network intrusion detection. To be as exhaustive as possible, 50 among the most important malware variants have been selected. Each family is available both as list of domains and as collection of features. To be more precise, the former is generated by executing the malware DGAs in a controlled environment with fixed parameters, while the latter is generated by extracting a combination of statistical and Natural Language Processing (NLP) metrics.
DOI: 10.17632/gvxb4krhh7.1
title: What is Youths’ Preferred Leader? Investigating the Relationship between Leadership Behaviours, Work Engagement and Organisational Commitment

description: The variables within the dataset consist of perceived leadership behaviours, work engagement, and organisational commitment. Gen Z participants were tasked to use the leadership behaviour scale to rate their workplace supervisor's leadership behaviour, followed by two self-rating measure of their work engagement and organisational commitment. We composited scores for Charismatic, Directive, Participative, and Supportive leadership behaviours respectively. We also composited scores for organisational commitment and work engagement. As the three faucet of work engagement - vigour, dedication, absorption, were highlighted in past research, we decided to compute a composite score for each faucet. However, our analysis utilised work engagement's composite score, which was the addition of composite scores resulting from the three faucets, most. We ran correlational analysis and linear regression. In linear regression, we controlled for age, gender, race, and school.
DOI: 10.17632/nbjwktymrg.1
title: Estimating preferences for Mediterranean deep-sea ecosystem services: a discrete choice experiment

description: Data on choice experiment on Mediterranean deep-sea ecosystem services
DOI: 10.5061/dryad.b2k47
title: Data from: Population genomic footprints of selection and associations with climate in natural populations of Arabidopsis halleri from the Alps
DOI: 10.17632/c2jpnv9yk6.4
title: Twitter Hate Speech Dataset for the Saudi Dialect

description: The data was performed by employing standard Twitter API on Arabic tweets and code-mixing datasets. The Data was carried out for a duration of three months, specifically from April 2023 to June 2023. This was done via a combination of keyword, thread-based searches, and profile-based search approaches as. A total of 120 terms, including various versions, which were used to identify tweets containing code-mixing concerning regional hate speech. To conduct a thread-based search, we have incorporated hashtags that are related to contentious subjects that are deemed essential markers for hateful speech. Throughout the data-gathering phase, we kept an eye on Twitter trends and designated ten hashtags for information retrieval. Given that hateful tweets are usually less common than regular tweets, we expanded our dataset and improved the representation of the hate class by incorporating the most impactful terms from a lexicon of religious hate terms (Albadi et al., 2018). We gathered exclusively original Arabic tweets for all queries, excluding retweets and non-Arabic tweets. In all, we obtained 200,000 Twitter data, of which we sampled 35k tweets for annotation.
DOI: 10.17632/fs2p6h8357.1
title: eResearch Services Catalogue University of Canberra

description: Resources on the six key areas of eResearch for researchers at the University of Canberra: (1) Data management planning (2) Data storage (3) Software and tools (4) High performance computing (HPC) (5) Training and events (6) eResearch Committee This material has been collated to allow the disemination of other inaccessible guidance materials for other tertiary institutions to use, alter, or for general guidance.
DOI: 10.15468/dl.awzc4a
title: Occurrence Download

description: A dataset containing 1548 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"2476643","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"BASIS_OF_RECORD","value":"PRESERVED SPECIMEN","matchCase":false},{"type":"equals","key":"CONTINENT","value":"southamerica","matchCase":false}]}

 The dataset includes 1548 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009205-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9zcert
title: Occurrence Download

description: A dataset containing 3414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamotrygonidae",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen",
 "Continent is South America"
 ]
}

 The dataset includes 3414 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009206-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yf2sxpy8fp.1
title: Data for: Towards the pan-European bioindication system: assessing and testing updated hydrological indicator values for vascular plants and bryophytes in mires

description: The table version (*.csv file) of the list of hydrological Ellenberg-like Ecological Indicator Values, tolerances and weights at the scale of 1–12 for vascular plants and bryophytes occurring in mires, with the most frequently used synonyms and orthographic variants used in vegetation-plot databases. For downloading the text file versions directly applicable in both the JUICE software (Indicator Values tool; Species Data field) and the R software, visit supplementary material of the original article and the JUICE web pages at https://www.sci.muni.cz/botany/juice/
DOI: 10.17632/c2gw7fy2j4.2
title: Web page phishing detection

description: The provided dataset includes 11430 URLs with 87 extracted features. The dataset are designed to be used as a a benchmark for machine learning based phishing detection systems. Features are from three different classes: 56 extracted from the structure and syntax of URLs, 24 extracted from the content of their correspondent pages and 7 are extracetd by querying external services. The datatset is balanced, it containes exactly 50% phishing and 50% legitimate URLs. Associated to the dataset, we provide Python scripts used for the extraction of the features for potential replication or extension. dataset_A: contains a list a URLs together with their DOM tree objects that can be used for replication and experimenting new URL and content-based features overtaking short-time living of phishing web pages. dataset_B: containes the extracted feature values that can be used directly as inupt to classifiers for examination. Note that the data in this dataset are indexed with URLs so that one need to remove the index before experimentation. Datasets are constructed on May 2020. Due to huge size of dataset A, only a sample of the dataset is provided, it will be divided into sample files and uploaded one by one, for urgent need of full copy, please contact directly the author at: hannousse.abdelhakim@univ-guelma.dz
DOI: 10.17632/drx9wzhn75.1
title: CellMatch: Combining two unit cells into a common supercell with minimal strain

description: Abstract Recent emergence of 2D materials (the so-called van der Waals materials), of which graphene is the most famous one, opens new routes in creation of novel materials by mere layer-by-layer combinations. Moreover, a growth of such materials is typically done on a substrate. In both cases structures appear that are periodical in the plane but the periodicity is very different from simple 1 × 1 commensurate unit cells combinations which appears for materials with very similar values of lattice con... Title of program: CellMatch Catalogue Id: AEYD_v1_0 Nature of problem Contracting a common supercell that fits the atoms of two unit cells with minimal strain. This is used as input for any total energy or electronic structure code. Versions of this program held in the CPC repository in Mendeley Data AEYD_v1_0; CellMatch; 10.1016/j.cpc.2015.08.038 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/dzz37fgwwd.2
title: Consonantal Gemination in Old English

description:    This dataset contains 255 word-final geminates and 760 word-medial geminates in Old English words. The research hypothesis which I will be testing is whether or not Kim (1973)'s claim is based on the real words with geminates in Old English. Kim (1973) shows that  consonants such as /ll/, /rr/, /mm/, /nn/, and /ss/ are likely to form geminates in OE whereas /pp/, /tt/, and /kk/ are less likely to form geminates. /þþ/ is a doubtful geminate (Kim 1973). 
   The Old English words have been collected manually from past studies -  Wright and Wright (1923; 1925), Kim (1973), Campbell (1977), Quirk and Wrenn (1994), Baker (2005), and Hogg (2011). As the second page in the document file shows, the distribution of word-final and word-medial geminates is tabulated. This approach could help illustrate which consonants are more likely to form a geminate and which consonants are not likely to do so in the source language.
DOI: 10.17632/6f3cb4cmh9.1
title: Nurturing CEO overconfidence

description: This data has been used in the paper : Nurturing CEO overconfidence: the relationship between managerial power, overconfidence and firm performance
DOI: 10.15468/dl.k286xk
title: Occurrence Download

description: A dataset containing 6413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus contorta Douglas ex Loudon",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 6413 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009207-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/r5vk4kt9st.1
title: Exchange Rate Pass-Through on Currency-Invoicing

description: This article explores the existence of the asymmetric effect of exchange rate pass-through on exporter's currency-invoice in 44 resources abundant sub-Saharan African countries over the period 2008-2017. The investigation is carried-out using asymmetric threshold regression developed by Hansen (1999, 2000) through 1000 bootstrapping replications and the grid search. Our empirical results based on 44 SSA countries revealed significant single and the double thresholds of 1.54% and 234.35%, respectively.
DOI: 10.17632/gf9svj4zfb.1
title: Radiocarbon Palaeolithic Europe database v24

description: We have collected the available data from literature and from other more restricted databases. We try to incorporate newly published chronometric dates collected from all kind of available publications. See list of journals inspected in downloadable file "inspected-journals.xls". The database, version 24 (first version was available in2002), contains now 12888 site forms, (most of them with their geographical coordinates), comprising 15500 radiometric data: Conv. 14C and AMS 14C (12024 items), TL (997 items), OSL (461 items), ESR, Th/U and AAR (2015 items) from the European (Russian Siberia included) Lower, Middle and Upper Palaeolithic. All 14C dates are conventional dates BP. 141 new sites are incorporated and 322 sites have a corrected or an updated content. For citation, please use: Vermeersch, P.M., 2018. Radiocarbon Palaeolithic Europe Database, Version 24. Available at: http://ees.kuleuven.be/geography/projects/14c-palaeolithic/index.html. The database uses Microsoft Access ©. After downloading, you can use the database with a procedure as described below. For those who have no access to Microsoft Access software, there is also an excel–file (Palaeolithic Europe Database v24 Oct 2018 extract.xls), with restricted content but with all dates. It can be directly downloaded from http://ees.kuleuven.be/geography/projects/14c-palaeolithic/index.html. The excel file is also available via academia.edu and researchgate.net (https://www.researchgate.net/project/Radiocarbon-Palaeolithic-Europe-Database)
DOI: 10.17632/hvc7smjjb7.4
title: The Nutrition System for Dairy Cattle (NS Dairy Cattle): A Model of Energy and Nutrients Requirements and Diet Evaluation for Dairy Cattle. 1th edition

description: Spreadsheet to predict intake, energy and nutrients requirements for lactating dairy cows by The NS Dairy Cattle. Corrected First Version. Updated April 17, 2019.
DOI: 10.17632/7k27b4ff8w.1
title: radiomics features

description: Radiomics features extracted from CT scan images of patients with and without pneumothorax
DOI: 10.17632/jzh4x3svv5.2
title: UAV-based multispectral images of spring wheat

description: The experiments were conducted at the Agriculture Experimental located south of Brazil, from May to October in 2018. The study area contains several 2.5m x 1m rectangular parcels, referred to as plots, which hold two Brazilians wheat varieties. The genotypes used were TBIO Toruk and BRS Parrudo (48 Toruk plots and 40 Parrudo plots). Variability in the growth of the crops was created for all test areas, where each one received a varying quantity of nitrogen. Different Nitrogen (N) rates were chosen to generate crop growth variability, to evaluate the response of biomass and grain yield to N availability, which we called spatial variability. The database consists of images captured by Unmanned Aerial Vehicles (UAV) and biomass manual measurements.

Two different processes were used to create this dataset. In the first, we collected the biomass to make a ground-truth. This step is done manually and destructively. Shoot dry biomass was determined at three growth stages: the stage of six fully expanded leaves, referred herein as V6, three nodes, and at flowering by the collecting of plants in an area of 0.27 m² for each plot. This was done to create a temporal variability. The plants collected were oven-dried at 65ºC until constant weight and weighed. Then the value is extrapolated for kilograms/hectare (Kg/ha). That is the BIOMASS value in  the CSV file.

The second process was to acquire the images at the height of 50m above ground using a camera coupled to a DJI Matrice 100 Quadcopter to obtain images with a ground sample distance (GSD) of 0.0465m. The camera mounted in the UAV was a multispectral Parrot Sequoia MicaSense (2018) for agricultural applications that is independent of the UAV systems. This multispectral camera has four independent monochrome channels (1280 x 960, 10 bits per pixel). The single grid flight plan for image acquisition was used in this work, being a common setup used by UAV flight control applications when mapping terrain used in agriculture Pix4d (2019). The frontal and lateral overlaps between images were adjusted to 80% and 60%, respectively, which is controlled by the camera itself using an internal GNSS trigger. Post-processing of the acquired images includes georeferencing and orthomosaic generation.
DOI: 10.17632/shx74rwm5r.1
title: Effect of egg incubator temperature on sex reversal in Korat chickens

description: Data of the manuscript entitled "Effect of egg incubator temperature on sex reversal in Korat chickens" 
Data for analysis of hatching rate and motarlity rate in different incubation temperature. The experiments were divided into two sets: temperature applied throughout the entire incubation period and temperature applied during certain periods (days 3-6 of incubation) by either increasing above the standard or decreasing below the standard temperature.