cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2z9gxryd5j
title: Vietnam trade data

description: Except for the money supply data gatherers from the State Bank of Vietnam (SBV), the monthly dataset utilized in this study is sourced from the World Bank's Global Economic Monitor (GEM). Due to data constraints, the Industrial Production Index (IIP) of Vietnam and the World are adopted as proxy variables for the Vietnamese GDP and the global GDP, respectively. All data, apart from the REER and the money supply, have undergone seasonal adjustments and span from January 2009 to December 2022
DOI: 10.17632/h6j4vtgcn2
title: Hrishikesh shahane

description: List of papers used for review paper
DOI: 10.17632/5z9h2wj8zm
title: Data on the cooling rate using nano carbon-fluid quenching medium and its effect on the hardness of S45C steel

description: Nanofluid is a quenching medium that could affect the cooling rate of S45C steel and influence its mechanical properties. This dataset provides the effect of cooling rate using nano-fluid quenchant on the hardness value of S45C steel. The nanofluid consists of 0.1, 0.3, and 0.5 weight percent of nano-sized carbon particles in 100 mL of distilled water. Data on the cooling rate was captured using a temperature data logger linked to the surface of the S45C steel. Data on the hardness value of S45C steel was collected after the quenching process.
DOI: 10.17632/9rfxfhtfmd
title: Bells Test Cancellation Tools Data 311023

description: Background: Whilst the outcome variables on the Bells test (e.g., total omissions) are easily quantified, process data (e.g., search strategy) have been more difficult to quantify objectively. CancellationTools is a software package that calculates cancellation task-based process variables following input of cancellation target identification order. The primary aim of the current study was to examine the psychometric properties of several CancellationTools process variables for the Bells test. Method: The CancellationTools process variables: mean distance, standardized mean distance, standardized angle, best r, and intersections rate, were calculated for the Bells Test in a diverse neurological sample (n=101) and a healthy Australian sample (n=57). Ratings of cancellation path organization using an ordinal categorical variable (systematic, disorganized, indeterminate) was completed by two experienced clinicians. Construct validity, criterion validity, known groups validity, test-retest reliability and test operating characteristics were examined. Results: Mean distance, standardized angle, best r and intersections rate, but not standardized mean distance, showed good construct (convergent) validity with clinician ratings. Standardized angle, best r and intersections rate showed good divergent validity when compared with outcome variables. Criterion validity was established for best r and intersections rate. The CancellationTools measures did not show known groups validity, although clinician ratings did. Good test-retest reliability was demonstrated for best r (ICC = .79) and clinician-rated search strategy (ICC = .75). Best r explained 88% of the area under the curve when classifying disorganized vs other search strategies based on clinician ratings. Conclusion: Best r emerged as the most psychometrically robust of the CancellationTools measures.
DOI: 10.17632/9t5xkt9wwk
title: OceanGraph RDF dataset

description: RDF dataset generated by the OceanGraph project (DOI https://doi.org/10.1007/978-3-030-21395-4_3). It contains approximately 4.7M of triplets extracted from different data sets belonging to OBIS, GBIF, SN SciGraph. It also contains information on oceanographic campaigns of the Argentine initiative Pampa Azul extracted from Sistema Nacional de datos del Mar (SNDM).
DOI: 10.17632/r3wmvt7pwf
title: Identification, biosynthesis and decapping of NAD-capped RNAs in B. subtilis. Frindert et al.
DOI: 10.17632/r73fyhg3t4
title: Determinants of intention to adopt Islamic financing in micro-business

description: Factors affecting the intention to adopt Islamic financing in micro-business.
DOI: 10.17632/9j35yskmj3
title: Data and supplementary files for: Rare earth element geochemistry of Australian Neoproterozoic carbonate: Constraints on the Neoproterozoic oxygenation events

description: Data and supplementary files for "Rare earth element geochemistry of Australian Neoproterozoic carbonate: Constraints on the Neoproterozoic oxygenation events"
DOI: 10.6084/m9.figshare.28099553.v4
title: Data&Codes.rar

description: test
DOI: 10.6084/m9.figshare.5122645.v1
title: Supplementary Material for: Including Additional Controls from Public Databases Improves the Power of a Genome-Wide Association Study

description: Though genome-wide association studies (GWAS) have identified numerous susceptibility loci for common diseases, their use is limited due to the expense of genotyping large cohorts of individuals. One potential solution is to use ‘additional controls’, or genotype data from control individuals deposited in public repositories. While this approach has been used by several groups, the genetically heterogeneous nature of the population of the United States makes this approach potentially problematic. We empirically investigated the utility of this approach in a US-based GWAS. In a small GWAS of pancreatic cancer in New York, we observed clear population structure differences relative to controls from the database of Genotypes and Phenotypes (dbGaP). When we conduct the GWAS using these additional controls, we find large inflation of the test statistic that is properly corrected by using eigenvectors from principal components analysis as covariates. To deal with errors introduced due to different sources, we propose simultaneously genotyping a small number of controls along with cases and then comparing this group to the additional controls. We show that removing SNPs that show differences between these control groups reduces false-positive findings. Thus, through an empirical approach, this report provides practical guidance for using additional controls from publicly available datasets.
DOI: 10.17632/nkjx3b9hc4
title: Data for: Understanding possible causes of exceeding dioxin levels in palm oil by-products: an explorative study

description: Raw data belonging to article 'Understanding possible causes of exceeding dioxin levels in palm oil by-products: an explorative study'
DOI: 10.17632/77tgbbsc9g
title: Taurine Supplementation Ameliorates Blood Pressure and Vascular Function in Patients with Type 2 Diabetes Randomized, double-blind, placebo-controlled trial

description: Effects of high glucose conditions or high glucose and taurine on TRPC6, SERCA2, SERCA3, STIM1, and CaMKII.
DOI: 10.17632/d5nnbfg6fp
title: raw data-Predicting survival in Glioblastoma patients using Diffusion MR imaging metrics – a systematic review

description: research data of the work
DOI: 10.17632/t3s358sfzg
title: NFHS 5 district wise data

description: This datasheet contains relevant details on district wise NFHS-5 data. The methodology of calculation is elaborated on the article.
DOI: 10.17632/pp29zcctvh
title: Vanilla Dispersal Data

description: Vanilla Dispersal Data "Karremans-et al-First evidence for multimodal animal seed dispersal in orchids. Current Biology"
DOI: 10.17632/wm5w5g3kzt
title: Numerical simulation results of dam-breaking problems with the PLIC-VOF method

description: Numerical simulation results of dam-breaking problems with the PLIC-VOF method: 1) damBreak.tar.gz (Empty case of a 2D dam-breaking problem) 2) damBreakKleefsman.tar.gz (Empty case of a 3D dam-breaking problem, scripts for post-processing included) 3) damBreakKleefsmanFull.tar.gz (Simulation results of the 3D dam-breaking problem)
DOI: 10.17632/79zj6yp7k8
title: Emerging implications of bacterial biofilm in cancer biology

description: Recent insights have unveiled exciting opportunities to explore the intricate interplay between bacterial biofilms, tumor cells, and the immune system, offering new perspectives on cancer biology. The implications of bacterial biofilms in this context are remarkably multifaceted. Biofilms can promote tumor growth and invasiveness by inducing chronic inflammation, remodeling the extracellular matrix, and modulating the immune response, which promotes cancer development. Recent evidence has illustrated the role of specific bacteria, such as Salmonella typhi in gall bladder cancer, Helicobacter pylori in gastric cancer, and Fusobacterium nucleatum in oral cancer. These studies have revealed that these bacteria are more abundant in cancer patients compared to healthy individuals. Moreover, these bacteria form biofilms and exhibit resistance to cancer therapy. In this review, we intend to explore the recent updates, the myriad influences of various bacteria, and the potential molecular pathways by which bacterial biofilms contribute to cancer development.
DOI: 10.17632/nrkx7467tf
title: Benchmark instances for the preemptive single machine scheduling of equal-length jobs minimizing Total Weighted Completion Time

description: The benchmark is an attachment to the paper "An exact model for the preemptive single machine scheduling of equal-length jobs" article by Artem Fomin and Boris Goldengorin.

Our benchmark provides over a million 1|pmtn;pj=p;rj|∑wjCj problem instances. 
The instances' size is up to np=800, where n is the number of jobs and p is the common processing time with n in [10, 350] and p in [2, 20].
For each instance, we provide the optimal objective function value, corresponding optimal schedule and time in which it was found by the algorithm described in the paper. 

The instances in this benchmark are the same as in our other dataset for the Total Weighted Tardiness (TWT) problem, but withouth the due dates. Also, this dataset contains several larger problems. The other dataset is available at: https://data.mendeley.com/datasets/pdkr3nmt2h

For a more detailed dataset description, see the "README.txt" file. For an even more detailed description refer to the mentioned article.

For your convenience, we also provide a small version of the benchmark with only the first 100 instances for each problem size. It will be much easier to handle than the full dataset with more than a million instances, each in a separate file.
DOI: 10.6084/m9.figshare.22001609.v1
title: Git repository code and data

description: The complete git-repository for the G3 articel <em>Functional validation of transposable element derived cis-regulatory elements</em> <em>in Atlantic salmon. </em>This zip file includes all of the data and code to reproduce the main results in the paper.
DOI: 10.17632/gwnwdgzts3
title: Data for: Detection of Algorithmically Generated Malicious Domain Names using Masked N-Grams

description: It contains the dataset used for the experimentation. Specifically, there are two text files, each containing 32000 different domain names. One file is clean domain names, the other file contains DGA domains.
DOI: 10.17632/mb9vy67sff
title: Curcumin parametrization in the CHARMM force field

description: The atomic charges and the equilibrium values of the geometrical parameters for the neutral enol form of curcumin and its monoanion derived according to the methodology developed for the CGenFF force field.
DOI: 10.17632/wm6w2fvkfj
title: Medical Appointments No-Show

description: The data are used for the study of medical appointments no-show. The dataset consists of data obtained and extracted from the University of Vale do Itajaí Center of Specialization in Physical and Intellectual Rehabilitation (CER). The clinic serves the Unified Health System (SUS) in southern Brazil.  The CER is an outpatient care service that performs diagnosis, assessment, guidance, early stimulation and specialized care. It has acted in functional rehabilitation and psychosocial qualification to encourage the autonomy and independence of people with disabilities.

Firstly, we collected the relevant information on the no-show problem in loco at the rehabilitation centre by transcribing 49,593 medical records from an electronic spreadsheet of 2016 to2022. In order to add more information to the collected data, some other databases were combined with the initial database, namely: ICD, weather conditions data and other related attributes. Finally, this dataset is composed of the following attributes:
1. "Specialty": specialty that patient received the treatment;
2. "Appointment Time": appointment time scheduled;
3. "Gender": male or female gender of the patient;
4. "Appointment Date": appointment date scheduled;
5. "No-show": given whether the patient attended the scheduled appointment or not;
6. "No-show Reason": description of the reason why the patient did not attend the scheduled appointment;
7. "Disability”: the patient’s motor or intellectual disability;
8. "Date of Birth": the patient’s date of birth;
9. "Date of Entry into the Service": date of the patient’s first appointment at the CER;
10. "City": city where the patient resides;
11. "ICD": identifier of the patient’s disease;
12. "Appointment Month";
13. "Appointment Year";
14. "Appointment Shift";
15. "Age": patient's age;
16. "Under 12 years old": patient's age under 12 years old;
17. "Over 60 years old": patient's age over 60 years old;
18. "Patient needs companion": patient's needs companion to go to the appointment;
19. "Patient needs companion": patient's needs companion to go to the appointment;
20. "Average Temperatura Day": Average temperatura in the day of the appointment;
21. "Average Rain Day": Average rain in the day of the appointment;
22. "Max Temperature Day": Maximum temperature in the day of the appointment;
23. "Max Rain Day": Maximum rainfall in the day of the appointment;
24. "Storm Day Before": Heavy rain in the day before the appointment;
25. "Rain Intensity": no rain, weak, moderate or heavy rain in the day of the appointment;
26. "Heat Intensity": cold, heavy cold, warm, heavy warm or mild in the day of the appointment;
DOI: 10.17632/ydmz5c822h
title: Data for: Nonlinear Field Dependent Conductivity Dielectrics made of Graphite Nanoplatelets Filled Composites

description: DC electrical conductivity GnP nanoplatelets composite materials
DOI: 10.6084/m9.figshare.12436955.v1
title: Sherlock data for OHBM

description: Sample data derived from the Sherlock study at http://arks.princeton.edu/ark:/88435/dsp01nz8062179<br>This data includes only the Angular Gyrus data for the first half of the movie, and recall data for a single subject (subj 7).
DOI: 10.17632/s5yk5nv8t2
title: The Perverse Valuation Effect on Mergers and Acquisitions in Europe

description: Replication_Folder_The Perverse Valuation Effect on Mergers and Acquisitions in Europe
DOI: 10.6084/m9.figshare.25713990.v1
title: Fig_1

description: This data set belongs to the paper "CControlled pathways and sequential information processing in serially coupled mechanical hysterons" by J. Liu, M. Teunisse, G. Korovin, I. R. Vermaire, L. Jin, H. Bense and M. van Hecke, published in "Proceedings of the National Academy of Sciences of the United States of America". For more information on the methodology and techniques we refer to this article and the supplemental information belonging to the article.
DOI: 10.17632/v84w55fd78
title: Data for: Do Remittances Reduce Women's Acceptance of Domestic Violence? Evidence from Pakistan

description: "MergedData.dta" includes the data from the different surveys; "ReplicationCode.do" includes all of the code used to obtain our results.
DOI: 10.17632/x3p2mbf5tx
title: Comparative analysis Machine learning(ML) based path loss dataset for university campus environment

description: Path loss is an important key factor affecting performance and efficiency in wireless communication system. Here primary measured data was collected from Covenant University, Ota, Ogun State, Nigeria & supplementary materials article found at the following address (https://doi.org/10.1016/j.dib.2018.02.026). In order to generalize for every university environment, four key features (Elevation, Altitude, Clutter height, Distance) were used to take as input, and a total of 3616 measured samples used in our cases to build the ML-based model and predict this dataset. Hence 28 different types of ML-based machine learning have been implemented to generate this predicted ML-based data. Each type is under categorized (ML) techniques such as Linear Regression, Tree, SVM (Support vector machine), Efficient Linear method, Ensemble method, GPR (Gaussian Process Regression), Neural Network and Kernel method.
DOI: 10.6084/m9.figshare.11342114.v1
title: Initial data

description: Initial data and first intermediary results.<br>
DOI: 10.6084/m9.figshare.27802422.v1
title: <b>Digital and intelligent transformation and new quality productivity from the perspective of enhancing quality and efficiency: Evidence from listed companies in china</b>.dta

description: This data is applied to Digital and intelligent transformation and new quality productivity from the perspective of enhancing quality and quality The research data of efficiency: evidence from listed companies in china were collected from CSMAR.
DOI: 10.17632/gmh37ntv8z
title: Data of the article : Fine tuning protocols for accurate studying of nanoparticle adhesion and uptake following foliar deposition

description: These data are the results used in the article "Fine tuning protocols for accurate studying of nanoparticle adhesion and uptake following foliar deposition"

Abstract : 

Understanding interactions between plant leaves and (nano)particles (NPs) is crucial for addressing phytochemical and environmental challenges. Recent studies show how NPs adhesion, uptake, and transformation on leaf surfaces are influenced by NPs properties, plant surface, and environmental factors. However, variability results from inconsistent protocols for leaf exposure and rinsing to determine the uptake fraction of NPs. This work explores how exposure methods affect dose reproducibility, NPs distribution on the leaf surface, and how rinsing protocols influence NPs element remobilization.

This work assessed how the methods commonly used in the literature to expose leaves to NP -drop-deposition, spraying, dipping, and brushing- compare in term of dose reproducibility and control over the exposure. The efficacy of rinsing strategies was evaluated with Au and CuO NPs which have contrasting solubility. They have been deposited on tomato leaves (var. micro-tom), and sequentially rinsed with diluted ethanol (EtOH), nitric acid (HNO3), and ultra-pure water, in various sequential order.

The results indicate that drop-deposition offers better dose reproducibility control, while spraying, dipping, and brushing cause lower reproducibility. The spatial distribution and surface agglomeration of NPs vary with the exposure methods, influencing their fate on/in leaves. Regarding rinsing, soluble NPs (CuO) are more efficiently rinsed by HNO3-2%, while EtOH-3% does not remove Cu, indicating strong attachment to the leaf. In contrast, Au NPs are better rinsed with ethanol-based solvents, possibly due to solvent lower polarity, surface tension or wax damage effect. Changing the rinsing solvent sequence helped identify different NP-leaf attachment fractions and their interaction nature. This study highlights the need for fine-tuned exposure and rinsing protocols tailored to the specific research question.
DOI: 10.17632/hkyvsdsrpw
title: A Fortran program for the numerical integration of the one-dimensional Schrödinger equation using exponential and Bessel fitting methods

description: Abstract An efficient algorithm is described for the accurate numerical integration of the one-dimensional Schrödinger equation. This algorithm uses a high-order, variable step Runge-Kutta like method in the region where the potential term dominates, and an exponential or Bessel fitted method in the asymptotic region. This approach can be used to compute scattering phase shifts in an efficient and reliable manner. A Fortran program which implements this algorithm is provided and some test results are ... Title of program: PHASE1 Catalogue Id: ABLM_v1_0 Nature of problem This program solves the single-channel Schrodinger equation for the scattering of an electron by the Lenard Jones potential for a specified energy E and angular momentum L. It also calculates the scattering phase shift. The Lenard-Jones potential is used for demonstration purposes. Any other potential can be used just as easily. Versions of this program held in the CPC repository in Mendeley Data ABLM_v1_0; PHASE1; 10.1016/0010-4655(90)90022-S This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/v6pwmbmbrb
title: Replication Archive for DeFusco, Tang, and Yannelis (2022)

description: Provides replication code for the article "Measuring the Welfare Cost of Asymmetric Information in Consumer Credit Markets" (DeFusco, Tang, and Yannelis, 2022)
DOI: 10.17632/gyhbjzm72y
title: Students’ satisfaction with service quality in higher education institutions in the perspective of students’ expectations and perceptions in Tanzania

description: The uploaded dataset was obtained from a PhD study, guided by four specific objectives, which intended to:
1. Assess the influence of demographic characteristics on students’ expectations about service quality dimensions and overall service quality in a HEI in Tanzania.
2. Assess the influence of demographic characteristics on students’ perceptions about service quality dimensions and overall service quality in a HEI in Tanzania.
3. Assess the influence of demographic characteristics on students’ satisfaction with service quality dimensions and overall service quality in a HEI in Tanzania.
4. Assess the influence of demographic characteristics on students’ future intention to re-enroll or recommend a surveyed public HEI in Tanzania.

In order to examine the stated objectives, four hypotheses were stated as follows:

 Hypothesis 1:
Keeping the other covariates ceteris paribus, demographic characteristics have no influence on students’ expectations about service quality dimensions and the overall service quality in a public HEI.

 Hypothesis 2:
Keeping the other covariates ceteris paribus, demographic characteristics have no influence on students’ perceptions about service quality dimensions and the overall service quality in a public HEI.

 Hypothesis 3:
Keeping the other covariates ceteris paribus, demographic characteristics have no influence on students’ satisfaction with service quality dimensions and the overall service quality in a public HEI. 

 Hypothesis 4: 
Keeping the other covariates ceteris paribus, demographic characteristics have no influence on students’ intentions to recommend or re-enroll to a surveyed public HEI. 

Both ontological and epistemological discourses were delineated within pragmatic research underpinning for the purpose of understanding "students’ satisfaction with service quality in higher education institutions in the perspective of students’ expectations and perceptions in Tanzania". A cross-sectional survey design was employed to collect data from one selected Higher Education Institution in Tanzania. 

The main study findings indicated that, parent education and type of student’s degree programme had a statistical significant influence on the students’ satisfaction about technical and residential services. Moreover, student’s degree programme had a statistical significant influence on the students’ satisfaction with overall service quality and students’ intentions to recommend the university to colleagues. School ownership and student’s degree programme had a significant influence on students’ intentions to re-enroll to the same HEI, if given offers of scholarships. Parent occupation, school ownership and degree programme, had a significant influence on students’ intentions to recommend or re-enroll to the same HEI due to its geographical location. Students’ satisfaction with the overall service quality are determined by type of degree programme (students’ specialization).