cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mjp5n9pcj3.1
title: Eggshell membrane for DNA sexing of the endangered Maleo (Macrocephalon maleo)

description: Here we present the first demonstration of the use of eggshell membrane for research on endangered Maleo (Macrocephalon maleo). We used 24 post-hatched eggshell membranes collected from two different sites, Tambun and Tanjung Binerean, in North Sulawesi, 12 samples in each. Two different DNA extraction methods: alkaline lysis method and gSYNCTM DNA Extraction Kit were applied. To determine the sex of Maleo, we utilized PCR-based DN A sexing using CHD genes, with the primer set 2550F/2718R. We successfully extracted all samples; mean sample concentration was 267.5 ng/µl (range 47–510.5 ng/µl) and samples were of high purity (A 260/280 ratio 1.85±0.03). All samples were used to successfully identified sexes, 9 females and 15 males. Our research clearly illustrates that eggshell membranes can be used for DNA sexing and open the possibility to build noninvasive DNA collections over large spatial scales for population study of endangered birds. The data consist of A. Electrophoresis photos of (1). DNA extraction of Maleo from eggshell membrane, collected from Tambun and Tanjung Binerean, North Sulawesi, from 4th April until 1st May 2018. We used gSYNCTM DNA Extraction Kit (Genaid) followed the provided user manual with little modifications to isolate the DNA frm the eggshell membrane. The eluded DNA (1 µl) was quantified using NanoVue Plus™ (Biochrom, Harvard Bioscience, Inc), at A260 nm. The 260/280 nm absorbance ratio was measured to give an indication of purity of the DNA. (2). PCR products of molecular sexing, using lysate and extracted DNA. We applied PCR based DNA sexing by using CHD genes, with the primer set 2550F/2718R (28). PCR used a 10 µl total volume containing template DNA (genomic DNA or lysate), 1.2 µl sterile dH2O, 5 µl 2x PCR buffer KOD FX Neo, 2 µl dNTPs (2 mM), (TOYOBO Co. Ltd.), 0.3 µl Primer 2550F (10 µM; 5'-GTT ACT GAT TCG TCT ACG AGA-3'), and 0.3 µl Primer 2718R (10 µM; 5'-ATT GAA ATG ATC CAG TGC TTG-3', (28)), and 0.2 U KOD polymerase enzyme. PCR was carried out in a Veriti™ 96-well thermal cycler (Applied Biosystems™). For genomic DNA templates, the following profile was used: 1 cycle at 94℃ for 2 min followed by 35 cycles of 98℃ for 10 sec, 53℃ for 30 sec and 68℃ for 45 sec;, and a final extension at 68℃ for 7 minutes. For lysate as DNA template, the PCR profiles was the same for DNA genome, except that it was run for more cycles (40x). B. Sequences of CHD-W and CHD-Z genes of Maleo The electrophoresis gels were cut on upper and lower bands for female sample and single band for male sample, then purified for sequencing. The sequence reactions were carried for both direction in sequencing services laboratory provided by 1st BASE Laboratories (Apical Scientific Sdn Bhd), Malaysia.
DOI: 10.17632/8vrtxts669.1
title: Geomorphic feature classification for Lord Howe Island and Balls Pyramid shelves, southwest Pacific Ocean

description: This dataset is a geomorphic classification of the shelf features surrounding Lord Howe Island and Balls Pyramid. This dataset provides information on the size, extent and type of features which occur around the shelves, which can be used for a broad range of marine planning and research purposes. Shelves were classified into shelf region (inner, mid, outer) and geomorphic features. Features include an extensive submerged fossil reefs, ridges and patch reefs, sandy basins, paleochannels, modern fringing reef, shallow lagoon, shelf edge terraces and shelf break. Broad seafloor features were visually interpreted through digitisation in ArcGIS v10.1 using terminology consistent with international nomenclature and national standards. The classification of geomorphic features extends upon the interpretation of Balls Pyramid shelf undertaken by Linklater et al. (2015). Full description of methods is outlined in the following open-access publication, accessible by the following link: http://www.mdpi.com/2076-3263/8/1/11/htm
DOI: 10.17632/rjpwj7rx9y.2
title: Escala de ciberactivismo entre estudiantes universitarios

description: 2. Muestra La muestra fue seleccionada de manera incidental entre los estudiantes de la Universidad de Almería durante el primer cuatrimestre del curso 2019-20. En total, respondieron al cuestionario completo 605 estudiantes de un total de 812 cuestionarios enviados a los universitarios matriculados en primero y segundo de la Facultad de Educación, con una tasa de respuesta del 74,5%. Si bien la tasa de respuesta es alta, la muestra además de basarse en un diseño no probabilístico tiene un cierto sesgo de edad (predominan jóvenes entre 17-19 años) y género (las mujeres son la mayoría). La matriz de datos en formato del paquete estadístico SPSS con toda la información detallada se encuentra disponible para descargar en Mendeley Data con el objeto de favorecer la transparencia y replicabilidad de los análisis (Fernández-Prados, 2020). 2. Instrumento El cuestionario contiene seis preguntas con un total de 21 items organizados en cuatro apartados, el primero con dos cuestiones sociodemográficas (sexo y edad), el segundo con otras dos preguntas relativas a la vía de acceso y dedicación diaria a internet, el tercero con una batería de cuatro ítems donde se interroga sobre finalidades y usos en internet (entretenerse, realizar trabajos universitarios, informarse y visitar redes sociales) sobre la base de una escala de frecuencia. Finalmente se plantea un listado de 11 acciones políticas y sociales en internet basadas en las recogidas en cuestionarios de encuestas nacionales e internacionales y las escalas de ciudadanía digital, con cuatro opciones de respuesta (“No lo he hecho y nunca lo haría”; “No lo he hecho, pero lo haría” “Lo he hecho anteriormente” y “Lo he hecho en los últimos 12 meses”). El análisis de fiabilidad de los 11 items alcanzó un alto coeficiente o alfa de Cronbach (.834)
DOI: 10.21227/kttc-ps24
title: Virtual SAR: A Synthetic Dataset for Deep Learning based Speckle Noise Reduction Algorithms

description: Synthetic Aperture Radar (SAR) images can be extensively informative owing to their resolution and availability. However, the removal of speckle-noise from these requires several pre-processing steps. In recent years, deep learning-based techniques have brought significant improvement in the domain of denoising and image restoration. However, further research has been hampered by the lack of availability of data suitable for training deep neural network-based systems. With this paper, we propose a standard synthetic data set for the training of speckle reduction algorithms. The design of image processing techniques for synthetic aperture radar applications requires testing and validation on real and synthetic images. The Virtual SAR dataset provides synthetic data to support the design and analysis of algorithms to deal with SAR data.
DOI: 10.17632/5gmhm9cc6d.3
title: SeGa4Biz: Model-Driven Framework for Developing Serious Games for Business Processes

description: This data set contains the source files of the SeGa4Biz framework including metamodels, model instances, and transformation rules.
DOI: 10.17632/c3gymp7vbn.1
title: ATP-driven separation of liquid phase condensates in bacteria
DOI: 10.17632/rcxbcdgr8v.2
title: data of Knowledge related to Chronic Kidney Disease (CKD) and perceptions on inpatient management among nurses at selected referral hospitals in Rwanda.

description: The level of knowledge related to CKD and perceived inpatient management was moderate among nurses. Eighty four percent (84%) had moderate level of knowledge related to CKD and 51% of nurses had moderate level of perceptions regarding of inpatient management of CKD. The factors associated with knowledge were institution type (p=.024), department (p=.000), level of education (p=.010) and type of specialty (p=.000). The factor associated perceived inpatient management of CKD was department type (p=.015). A very weak non-significant positive relationship (r = .115, N = 120, p = .21) between knowledge and practice was observed. Before analyzing the data, the data was cleaned, grouped and classified according to demographic characteristic, knowledge and perceptions. These quantitative data were analyzed descriptively using tables, and percentages, and inferential statistics (chi-square) with the help of SPSS (Statistical Package for Social Sciences) window version 21. Descriptive statistics used to describe the demographic variables, the level of nurse’s knowledge and perceptions regarding inpatient CKD management. Inferential statistics (chi-square test) used to establish association between demographic characteristics and nurse’s knowledge and perceptions regarding inpatient CKD management. Pearson correlation coefficient ® was calculated to identify the direction and the strength of the relationship between nurse’s knowledge and perceptions regarding inpatient CKD management and The Pearson correlation determine the strength and direction of a relationship between two quantitative/numerical variables. It ranges from negative (-1) to positive (+1) coefficient values. A negative correlation indicates that high values on one variable are associated with low values on the next. A positive correlation indicates that high values on the one variable are associated with high values of the next .
DOI: 10.17632/5227cd4ytm.1
title: Educational Development Literature Dataset (1910-2019)

description: The educational development research & publication dataset, which was indexed by Scopus from 1910 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/d5kck749zs.1
title: Dataset on determinants of intention and investment behaviour among Indonesian young millennials

description: The dataset describes four factors (i.e. allowance, financial literacy, self-control, peer-influence) that influence an investment behaviour among Indonesian young millennials.
DOI: 10.17632/zm4372frp3.2
title: Raw data - The striatal-enriched protein Rhes is a critical modulator of cocaine-induced molecular and behavioral responses

description: Research data
DOI: 10.17632/8cr8rvtddm.1
title: Chemical shift perturbation analysis: Structural basis of client specificity in mitochondrial membrane-protein chaperones

description: NMR analysis of TIM8.13 and TIM9.10, chaperones of the mitochondrial inner-membrane space (IMS), upon addition of either full-length Tim23, IMS domain fragment of Tim23 or cyclic VDAC(257-279) peptide. Residue-wise CSP are calculated as the weighted sum of 1H and 15N chemical shifts and additionally as weighted sum of 1H and 13C chemical shifts for TIM9.10 interaction with the full-length Tim23. Changes in Tim23 peak intensities upon addition of chaperone are calculated as the ratios of the peak volume in the complex over the apo-Tim23(IMS).
DOI: 10.17632/8hhvnt9r8x.2
title: Mapping functional connectivity from the dorsal cortex to the thalamus

description: In this research, we developed a high throughput method to systematically map functional connections from the dorsal cortex to the thalamus in awake mice by combing optogenetic inactivation with multichannel recording. Here, we provide: 1. Raw data of multi-units and single-units obtained in this study. 2. MATLAB codes for data analysis.
DOI: 10.17632/j7vmssz92k.1
title: Dataset of Educational Quality Research from 1915 to 2019

description: The educational quality research & publication dataset, which was indexed by Scopus from 1915 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/k6n329my7k.1
title: Grigaitis et al_Regulatory control of RecQ helicase Sgs1/BLM during meiosis and mitosis

description: Raw images from western blots, immunofluorescence microscopy and EM.
DOI: 10.25345/c5vm6r
title: MassIVE MSV000085519 - UPLC-TripleTOF-MS analysis of Siji-kangbingdu Mixture
title: Siji-kangbingdu Mixture is a TCM prescription with anti-virus, anti-inflammatory and anti-pneumonia activities, especially for children. The aim of our study is to uncovering the complicated chemical materials in this mixture.
DOI: 10.17632/6w2b4m9y6b.2
title: Ninja Owl- Owl and Gerbil Behavior

description: Behavior of barn owls, one black one white, flying in a vivarium and the response of Egyptian gerbils to those owls and variation in moonlight. Owl behavior measured in numbers of attacks and attack duration. Gerbil behavior was measured in GUDs.
DOI: 10.17632/7v728yymmk.2
title: Speech Driven Gaze in a Face-to-Face Interaction

description: It involves raw data and preprocessed files used for statistical analysis and the training of computational models. Please see the readme.txt files under each folder to get further information about the files inside that folder.
DOI: 10.17632/gprg4s73v4.2
title: GaHu-Video: Parametrization system for human gait recognition

description: This video dataset comprises (44) recordings of the human gait with (396) edited videos, there is also available a dataset of geometric features with (1431) files acquired from the video dataset that can be used for identifying people by human gait or for analyzing gait on various purposes. Each directory has the following structure: One directory with original videos of 44 people walking. Some parameters are, Video format AVI, stable background, resolution of 1280x700 p. Each video recording registers a person walking from left to right and back three times. One directory (Track A) with 44 edited videos with the first walking pass from left to right and back. A subdirectory (Sx_Track 1_Right) with 44 edited videos with the first walking pass from left to right. A subdirectory (Sx_Track 1_Left) with 44 edited videos with the first walking pass from right to left. This directory comprises 132 videos in total. One directory (Track B) with 44 edited videos with the second walking pass from left to right and back. A subdirectory (Sx_Track 1_Right) with 44 edited videos with the second walking pass from left to right. A subdirectory (Sx_Track 1_Left) with 44 edited videos with the second walking pass from right to left. This directory comprises 132 videos in total. One directory (Track C) with 44 edited videos with the third walking pass from left to right and back. A subdirectory (Sx_Track 1_Right) with 44 edited videos with the third walking pass from left to right. A subdirectory (Sx_Track 1_Left) with 44 edited videos with the third walking pass from right to left. This directory comprises 132 videos in total. One directory V-Geometric features with .dat files acquired from the video dataset with geometric features from the rectangle drawn over the silhouettes during a time. The geometric features were acquired with image processing techniques and are comprised of width, height, and area over time [1,2] nnW subdirectory: 477 .dat files with registered information about the behavior of the rectangle width during the gait record. nnH subdirectory: 477 .dat files with registered information about the behavior of the rectangle height during the gait record. nnA subdirectory: 477 .dat files with registered information about the behavior of the rectangle area during the gait record. References: [1] Senigagliesi, L.; Ciattaglia, G.; De Santis, A.; Gambi, E. People Walking Classification Using Automotive Radar. Electronics 2020, doi:10.3390/electronics9040588 [2] Kececi, Aybuke, Armağan Yildirak, Kaan Ozyazici, Gulsen Ayluctarhan, Onur Agbulut, and Ibrahim Zincir. 2020. Implementation of Machine Learning Algorithms for Gait Recognition. doi:10.1016/j.jestch.2020.01.005 [3] Figueiredo, Joana, Cristina P. Santos, and Juan C. Moreno. 2018. Automatic Recognition of Gait Patterns in Human Motor Disorders using Machine Learning: A Review. Vol. 53. doi: 10.1016/j.medengphy.2017.12.006
DOI: 10.17632/vtny2tg7hv.1
title: Four small cases for the fairness problem of train timetabling

description: Four small cases data
DOI: 10.17632/73r7pxtc5d.1
title: PCOS and QoL
DOI: 10.17632/9wh7w932v6.1
title: Anti-corrosion performance of alumina nano-fillers incorporated in epoxy-resin coatings

description: The anticorrosive performance of alumina/epoxy nanocomposite was examined by EIS & LP tests. Using flat cell assemble. The working volume was 350 mL. SCE used as RE. Graphite plate, with dimension 25 x 25 x 5 mm, and 2.6 cm2 exposed area, used as CE. Steel coated by epoxy-resin and alumina/epoxy nanocomposite, with dimension 25 x 25 x (12.6 mm, + the coating thickness), and 2.6 cm2 exposed area, as WE. The electrolyte used was 3% NaCl used with DI water. The potentiostat used is VMP3. OCP was recorded for 24, 48, 72, 96, and 120 h, before and during each test. After OCP completion of each step, EIS & LP were measured. For EIS, the frequency sweep was from 100 KHz to 100 mHz, with 20 mV AC amplitude, and for LP, the voltage ranges from -250 mV to 250 mV, with 1 mV/sec scan rate. The test has been carried out on pure epoxy-resin, 0.5 wt. %, & 1 wt. % alumina/epoxy nanocomposite. Metal sample, without coating, was tested by LP, after 6 h OCP. The EIS data that are being collected were analyzed using Nyquist plot (with an equivalent circuit model - as found in the manuscript). While LP data were analyzed using tafel slope.
DOI: 10.17632/sc64wp5c7m.2
title: Charles River Data Water Quality Sensor Data

description: Charles River Data Water Quality Sensor Data Descriptive Statistics data. This is year-wise data. And the descriptive statistical analysis is also given Year Wise. The dataset starts with the year 2015 and end with 2018 values. Based on this dataset, equation modelling and machine learning models can be built for water quality assessment.
DOI: 10.17632/4nphrp8bxx.1
title: Surrogate-adjoint refine based global optimization method combining with multi-stage fuzzy clustering space reduction strategy for expensive problems

description: Data and images for surrogate-adjoint refine based global optimization method Surrogate-adjoint refine based global optimization method combining with multi-stage fuzzy clustering space reduction strategy for expensive problems are included in the attachment.
DOI: 10.17632/7gpkx5p3z9.1
title: Survey on Vietnamese students’ intention to study abroad before and during COVID-19

description: This dataset includes 397 observation of Vietnamese student's intention to study abroad before and during the COVID-19 pandemic. The dataset was collected through an online survey from 03 to 13 May 2020, over "Scholarship hunter", the largest community of Vietnamese overseas students on Facebook. Major variables are: (i) Students’ Demographics; (ii) The previous intention of students to study abroad before and during the Covid-19 ravaged and (iii) Their intention afterwards.
DOI: 10.25345/c5m427
title: MassIVE MSV000085521 - ASMS Bioinformatics of Protein Identification Short Course MSFragger
title: This set of files is intended to train a researcher new to proteomics in the use of database search algorithms. The samples are E. coli lysate with Sigma UPS proteins spiked in, analyzed in six mzML files representing an Orbitrap and six mzML files representing a (non-Orbi) Velos that were posted as part of PXD000602 by the Wilmarth Laboratory. The set includes the configuration files and FASTA required by the MSFragger search engine as well as an Assemble.txt for specifying the sample hierarchy for the IDPicker protein assembly environment. The step-by-step tutorial is also included in this set of files.
DOI: 10.17632/2pzvmnb2km.4
title: Dataset of Vietnamese Student's Learning Habit during School Closure due to Covid-19 Pandemic

description: The dataset was constructed to examine Vietnamese student’s learning habit during the school suspension time due to the novel coronavirus - SARS-CoV-2 (Covid-19), responds to the call of open research to prevent potential effects of coronavirus (Elsevier, 2020). The questionnaires were spread over a network of educational communities on Facebook from 7th to 28th of February 2020. Using the snowball sampling method, researchers delivered the survey to teachers and parents to confirm the consent form before they forward it to their students and children. In order to measure the influence of student’s socioeconomic status and occupational aspirations over their learning habit during school closure, the survey includes three major groups of questions: (1) Individual demographic, includes family socioeconomic status, school types, and occupational aspirations; (2) Student’s learning habits, include hours of learning before and during school suspension time, with and without other people’s support; and (3) Student’s perception on self-learning during the disease. There was a total of 920 clicks on the survey link, but only 460 responses with consent form were received. The incurable answers (e.g., year of birth is before 2009, more than 20 hours of learning per day, etc.) have been eliminated. Finally, the dataset includes 420 valid observations.
DOI: 10.17632/5hhskgrg6r.1
title: Data for "Organizational identification as a predictor of turnover intention" published by RAC-Revista de Administração Contemporânea

description: As seguintes hipóteses foram testadas: H1: MILITARES MAIS MOTIVADOS COM A INSTITUIÇÃO TÊM MENOR INTENÇÃO DE ROTATIVIDADE H2: MILITARES IDENTIFICADOS MAIS FAVORAVELMENTE COM A INSTITUIÇÃO TÊM MENOR INTENÇÃO DE ROTATIVIDADE. Para a análise dos dados coletados a partir do questionário anexado, foram utilizadas análises estatísticas descritivas e inferenciais, sendo estas últimas fundamentadas na análise fatorial, teste de correlação, regressão linear múltipla e Teste t. A amostra final foi composta por 388 militares da área finalística e de apoio de uma instituição das Forças Armadas. Os resultados mostraram que a motivação não mostrou relação significativa com a intenção de rotatividade, tendo sido apenas a identificação organizacional confirmada como variável preditora.
DOI: 10.17632/7rjn2xj7bc.1
title: Sensor Signals

description: The data set contains sensor signals from a real application in industrial IoT. Our sample data contains data sensors from “Fakoor Sanat Iron Ore Concentrate Plant” that is IoT enabled. Ball mill is a piece of important and expensive equipment in the Iron Ore Concentrate industry. Sensors collect temperature and send them to the Fakoor cloud. Events gathered from the ball mill are used for failure prevention.
DOI: 10.17632/sgpksgbw5g.1
title: Privatization and Pandemic: A Cross-Country Analysis of COVID-19 Trends and Health-Care Financing Structures

description: The outbreak of coronavirus and the infectious disease it causes (COVID-19) have taken different paths around the world, with countries experiencing different rates of infection, case prevalence and mortality. This simultaneous yet heterogenous process presents a natural experiment for understanding some of the reasons for such different experiences of the same shock. This paper looks at the privatization of healthcare as one key determinant of this pattern. We use a cross-section dataset covering 147countries with the latest available data. Controlling for per capita income, health inequality and several other control variables, we find that a 10% increase in private health expenditure relates to a 4.3% increase in COVID-19 cases and a 4.9% increase in COVID-19 related mortality. Globalization also has a small positive effect on COVID-19 prevalence, while higher hospital capacity (in beds per 1,000 people) is significant in lowering COVID-19 mortality. The findings suggest caution regarding policies which privatize healthcare systems in order to boost efficiency or growth in the short-run, as these reduce countries' long-term preparedness for dealing with pandemics.