cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/z2k7z5wtg8
title: SMA libraries for metabolite identification and quantification in cocoa extracts

description: Metabolite libraries built from NMR spectra for natural, lavado and commercial cocoa and for two extraction procedures (hydroalcoholic and Soxhlet), using the Simple Mixture Analysis (SMA) tool implemented in MestreNova 12.4 software.
DOI: 10.6084/m9.figshare.28163519.v2
title: <b>A low-complexity linker as a driver of intra- and intermolecular interactions in DNAJB chaperones</b>

description: This directory contains data associated with:'A low-complexity linker as a driver of intra- and intermolecular interactions in DNAJB chaperones'Hobbs B., Limmer N., Ossa F., Knüpling E., Lenton S., Foderà V., Kalverda A.P., Karamanos T.K.Data is contained in the directories corresponding to the relevant figure.The subdirectories in 'fig_6' and 'supp_fig_11' include Python scripts used to fit the CPMG data. They require the numpy, scipy, matplotlib, and lmfit modules to work. states.py contains the McConnell matrices for various models.
DOI: 10.17632/28c4zjb36h
title: Arctostaphylos fruit morphology

description: These data were collected to investigate variation in fruit morphology of the woody plant, Arctostaphylos, specifically, to assess and document the variability in size, nutlet fusion, and seed viability in these taxa. Data include measurements for 38 Arctostaphylos taxa.
DOI: 10.17632/6mh8mpnbgv
title: Data for: Machine learning-based genetic diagnosis models for hereditary hearing loss by the GJB2, SLC26A4 and MT-RNR1 variants

description: This is the Supporting Datasets for the manuscript "Machine learning-based genetic diagnosis models for hereditary hearing loss by the GJB2, SLC26A4 and MT-RNR1 variants" by Luo et al in EBiomedicine . The two data sets were processed sequencing data, of which the Discovery Set was from the medical records and the Validation Set was from the Disabled Persons' Federation. PS: No mutations found were indicated by 0, heterozygous mutations by 1, and homozygous mutations by 2
DOI: 10.17632/7cjz65mg6g
title: Dataset on factors influencing Vietnamese student’s motivation and satisfaction under COVID-19 context

description: This dataset was designed to record university students’ subjective assessment about the quality of education/training programs in Vietnam and their satisfaction regarding COVID-19 based on a 5-point Likert scale measurement. It includes 79 variables divided into 14 groups: the first one is on personal information (without identification); the next 9 are on factors affecting students’ educational motivation and satisfaction including studying quality and subjective norms; the last 4 groups are more detailed assessments of students’ satisfaction under the context of COVID-19 and online learning. All 1680 records of this dataset were collected via an online survey covering all areas in Vietnam. The dataset file has 4 sheets: (1) raw data; (2) details surveyed questions; (3) Cronbach’s alpha test for each group; (4) KMO and Bartlett’s test and variable summary. The Cronbach’s alpha tests help indicate the level of statistical reliability across different variables measuring in each group. KMO test shows the level of sampling adequacy for factor analysis research. This dataset can be used in studies on students’ satisfaction in both traditional learning and online learning under COVID-19. This is also useful for the practice of econometrics with ordinal variables for undergraduate students.
DOI: 10.17632/y69f3ytz8m
title: Result of daily test for water treatment plant Kirkuk, Iraq for May 2011

description: The information from the laboratory of the Kirkuk unified water treatment plant used in this dataset is for May 2011 only. This information is in the form of tests for raw water, water output from the sedimentation basins, and water output from filtration. In addition, the amount of ALUM added to the water per day, the amount of chlorine used per hour, the water temperature, and the flows for each sample are also recorded. 
The amount of alum used per day was determined by a jar test, and the amount of chlorine used per hour depends on the amount of water processed for consumers per hour. We are interested in 5 parameters of raw water for our study. Turbidity (TU), PH, Total Suspended Solid (TSS), Total Dissolved Solid (TDS), and Electrical Conductivity (EC).
DOI: 10.17632/zc53h3dcfg
title: The connective tissue of a man

description: In this study, the connective tissue could be visualized in detail across all organs. In addition, several features were characterized and analyzed using image processing methods. The data sets obtained in this way can serve as a basis for simulation experiments and for precisely describing the distribution of connective tissue.
DOI: 10.17632/zw56pp2hx4
title: AI Technology in Natural Resource Management: Realizing Sustainable Economic Growth

description: AI Technology in Natural Resource Management: Realizing Sustainable Economic Growth Data
DOI: 10.17632/6sdd3ctnkf
title: Information transferred from interest rate to monetary aggregates

description: This dataset presents the quantified information flow from interest rates to money demand using Rényi transfer entropy. Four monetary aggregates (M1, M1ADJ, NewM1, and Divisia M1) and two opportunity cost measures (3-month Treasury bill, and Divisia user-cost) are considered. The information flows are calculated over short intervals (for the stationary purpose) of length 35, 40, and 45 quarters. For the definition of time series and their relevant time spans, please refer to the paper. This dataset can serve as an indicator of the effectiveness of monetary policy decisions.

It would be appreciated if use of the dataset could be acknowledged as follows:

Movaghari, H., Serletis, A. and Sermpinis, G. (2024). Money demand stability: New evidence from transfer entropy, International Economics, .
DOI: 10.6084/m9.figshare.27071887.v1
title: Additional file 8 of Recruitment of the m6A/m6Am demethylase FTO to target RNAs by the telomeric zinc finger protein ZBTB48

description: Additional file 8: Table S7: miCLIP_FTO_overexpression.
DOI: 10.6084/m9.figshare.6154271.v1
title: Supplementary Material for: Combined Pancreatic Islet-Lung-Liver Transplantation in a Pediatric Patient with Cystic Fibrosis-Related Diabetes

description: <b><i>Background:</i></b> Cystic fibrosis-related diabetes (CFRD) is the most frequent extrapulmonary complication of cystic fibrosis (CF). <b><i>Methods:</i></b> We report the first combined pancreatic islet-lung-liver transplantation in a 14-year-old adolescent. <i>CFTR</i> was analyzed by Sanger sequencing. Further genes were analyzed by high-throughput sequencing. <b><i>Results:</i></b> The patient was diagnosed with CF at the age of 14 months. Nine years later, after diagnosis of CFRD, the patient’s BMI and lung function began to decline. Bilateral lung transplantation with simultaneous liver transplantation was performed at the age of 14.5 years. The first islet transplantation (IT) was carried out 10 days later. Six months later, C-peptide secretion after arginine stimulation showed peak values of 371 pmol/L (vs. 569 pmol/L before IT) and insulin doses had slightly increased (1.40 vs. 1.11 units/kg/day before IT). A second IT was performed at the age of 15 years, a third at 16 years. Two years after the first IT, arginine-stimulated C-peptide secretion increased to 2,956 pmol/L and insulin doses could be reduced to 0.82 units/kg/day. HbA1c decreased from 7.3% (57.4 mmol/mol) to 5.9% (41.0 mmol/mol). <b><i>Conclusion:</i></b> IT following lung and liver transplantation, with injection of islets into a transplanted organ, is feasible. It improves C-peptide secretion, decreases insulin needs, and lowers HbA1c.
DOI: 10.17632/k3ym65vgdp
title: Personality Traits and Social Loafing, Moderating impact of Individualism as culture

description: H1a:  Group members with a high level of Conscientiousness in the team will be less likely to engage in social loafing.

H1b: The association between conscientiousness and social loafing will be moderated by the individualistic behavior of group members such that individuals in the group with the personality trait of conscientiousness will be less likely to engage in social loafing when they are more individualists and the relationship between neuroticism and social loafing will be weakened with the addition of moderator.

H2a:  Members with a high level of Neuroticism in the group will be more likely to engage in social loafing.

H2b:  The relationship between neuroticism and social loafing will be moderated by the individualistic behavior of group members such that individuals in the group with the personality trait of neuroticism will be more likely to engage in social loafing when they are more individualists and the relationship between neuroticism and social loafing will be strengthened with the addition of moderator.
DOI: 10.17632/4dh2h3tsf4
title: Graphite-based electrodes for Li-ion batteries: Formulation and manufacturing process optimization via machine learning

description: Cycling Data for Cells
DOI: 10.17632/dkmzr3984p
title: Tridyn-binary collision simulation of atomic collisions and dynamic composition changes in solids

description: Abstract A computer program is described which treats the slowing down of ions in solids, and the associated formation of recoil atom cascades in the binary collision approximation. For multicomponent media, it takes into account dynamic alterations of the local composition which arise from the deposition of implanted ions and the collisional transport of target atoms. In this way, phenomena can be simulated which occur during high-fluence ion bombardment, such as implantation profiles, atomic mixing ... Title of program: TRIDYN (VERSION 3.1) Catalogue Id: ABFH_v1_0 Nature of problem A beam of fast ions (energy range app. 1 eV/amu to 100 KeV/amu) entering a solid substance is slowed down and scattered due to electronic interaction and nuclear collisions. Along its path, an individual projectile may create fast recoil atoms which in turn may initiate collision cascades of moving target atoms. These may either leave the surface (be sputtered) or be deposited at a site different from their original one. Together with the projectiles being deposited in the substance, this result ... Versions of this program held in the CPC repository in Mendeley Data ABFH_v1_0; TRIDYN (VERSION 3.1); 10.1016/0010-4655(88)90148-8 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/xc26tczzbb
title: Open dataset results from IDEA4 method

description: From the National Research Institute for Agriculture, Food and Environment (INRAE) and the interprofessional association Bio Centre jointly initiated the SOBRIETY project, which aims (i) to assess the sustainability of farming systems in the Centre-Val de Loire region, France, and (ii) to point out the drivers that contribute to farm sustainability. To do so, 47 farms were surveyed with the released Farm Sustainability Indicators version 4 (IDEA4) method. IDEA4 assess both 3-dimensions (agroecological, socio-territorial and economic) and 5-attributes (embeddedness, self-sufficiency, productive and reproductive capacity of goods and services, Overall responsibility, and robustness) of sustainability at farm-scale. Each dimensions are based on components and associated indicators. Scoring process is based on hierarchical classification, aggregation score and threshold rules. The dataset provide three types of informations : 
- Biotechnical features : Those data were used to group farms into 3 farming systems based on a hierarchical clustering.
- 3 Dimensions, 13 components and 53 indicators results for the three farming systems identified through the clustering.
- 5 Attribute indicator scores per farming systems.
The last Excel sheet provides the R code used (version 4.1.3) for statistical analysis (2-Way ANOVA and PCAs).
DOI: 10.17632/47wz7bmnnd
title: Knowledge absorption capacity in the innovation process

description: The tabular data contains several variables and indicators related to the study of absorptive capacity in the innovation process. The table presents data on variables including patents, the R&D investment composite index, the rate of change in government subsidies, and the net growth rate of capitalized development expenditures, as well as independent, mediating, moderating and dependent variables. The data are categorized by year to explore how different factors in innovation activities affect innovation capabilities or outcomes. The data are richly structured and cover multidimensional indicators such as R&D efficiency and financial health index, which are suitable for quantitative analysis of the innovation process.
DOI: 10.17632/5ys9vdzxsp
title: Impact of computational tumor cell fraction quantification (QuANTUM) on the evaluation of sample adequacy for NSCLC molecular pathology

description: Results of the pre and post-QuANTUM survey to a panel of 12 international digital and computational pathologists for the assessment of absolute and % tumor cellularity.
DOI: 10.17632/6fn2bnbc9y
title: Model 1 Hesitant Fuzzy TOPSIS to supplier selection - Excel

description: This is a product of my master's dissertation "A comparision between hesitant fuzzy TOPSIS mehods in supporting decision-making for supplier selection, 2022" at the Postgraduate Program in Administration at Federal Technological University of Paraná. In my study, two Hesitant Fuzzy mehods were modeled, implemented and compared. This is the model based on the method presented in "BEG, I., RASHID, T. TOPSIS for hesitant fuzzy linguistic term sets. International Journal of Intelligent Systems, v. 28, n. 12, p. 1162-1171, 2013."
DOI: 10.17632/b7svp82sdj
title: Global Trading Network of COVID-19 Medical Products Between 2019 and 2020

description: This dataset explores the global trade patterns of COVID-19 medical products in 2019 and 2020, offering valuable insights into the evolution of international connections during this critical period. A detailed description of the dataset can be found at:

• Kurbucz, M. T., Keresztély, T., Szikszai, Sz., Sugár, A., & Banász, Zs. (Under Review). Dataset on Global Trade Networks of COVID-19 Medical Products.
• Kurbucz, M. T., Sugár, A., & Keresztély, T. (2023). Analysis of the international trade networks of COVID-19 medical products. Applied Network Science, 8(1), 58.

In case of usage, kindly reference the aforementioned papers.
DOI: 10.17632/my98rsbftb
title: AI Automatation

description: Artificial Intelligence (AI) automation is revolutionizing industries by enhancing efficiency, productivity, and accuracy. This technology leverages advanced machine learning algorithms and neural networks to perform tasks traditionally done by humans, from data analysis to decision-making processes. AI automation systems can continuously learn and adapt, providing intelligent solutions that optimize operations and reduce human error. The integration of AI automation in various sectors, such as manufacturing, healthcare, finance, and customer service, is leading to significant advancements and a shift towards more innovative and streamlined workflows. This abstract delves into the core principles of AI automation, its applications, and its potential future impact on industry and society.
DOI: 10.6084/m9.figshare.23515569.v1
title: Supplementary Material for: Cruciferous Vegetable Intake and Risk of Prostate Cancer: A Systematic Review and Meta-Analysis

description: <b><i>Introduction:</i></b> The relationship between cruciferous vegetables and prostate cancer (PCa) risk remains contentious. This study aimed to assess the association between consuming cruciferous vegetables and PCa risk. <b><i>Methods:</i></b> We carried out a systematic search through PubMed, Embase, Web of Science, and the Cochrane Library until September 20, 2022. The results of the article will be analyzed using the Stata 14 software. This meta-analysis was reported as directed by the PRISMA guidance, and the study protocol was recorded in PROSPERO (CRD42022361556). <b><i>Results:</i></b> 7 case-control studies and 9 cohort studies were eventually included, including 70,201 PCa cases and 1,264,437 members. The higher the intake of cruciferous vegetables, the lower the risk of PCa. In comparison to the lowest dose of cruciferous vegetables, the overall relative risk (RR) of cruciferous vegetables having the highest dose was 0.87 (95% confidence interval [CI]: 0.80–0.95; <i>I</i><sup>2</sup> = 59.2%). A significant linear trend (<i>p</i> = 0.002) was observed for the association, with a combined RR of 0.955 (95% CI: 0.928–0.982) for every 15 g of cruciferous vegetables per day. <b><i>Conclusions:</i></b> The study revealed that consumption of cruciferous vegetables may be linked to reduced PCa risk.
DOI: 10.6084/m9.figshare.27270243.v1
title: Dataset RT-qPCR and Proteomic Data

description: <b>The enclosed data includes RT-qPCR data and proteomic analysis data.</b><br>An immortalized human MSC line was transduced with a CRISPR activation lentivirus system targeting TSG-6. The efficiency of transduction activation was assessed by analyzing gene expression.Extracellular Vesicles (EVs) were harvested from the MSCs with the goal of using them for treatment. EV proteomic contents were analyzed by mass spectrometry.Additionally, human IVD cells from patients undergoing spinal surgery were isolated, expanded, exposed to IL-1β pre-stimulation and co-treated with Extracellular Vesicles from the activated MSCs. Changes to gene expression were evaluated by RT-qPCR. <br><br><br><br>
DOI: 10.17632/7487cpj9hm
title: TINIE – a software package for electronic transport through two-dimensional cavities in a magnetic field

description: Quantum transport has far-reaching applications in modern electronics as it enables the control of currents in nanoscale systems such as quantum dots. In this paper we introduce TINIE: a state-of-the-art quantum transport simulation framework, which can efficiently perform first-principle calculations based on the Landauer-Büttiker formalism. The computational repertoire of TINIE includes calculations of transmission, conductivity, and currents running through arbitrary multi-terminal two-dimensional transport devices, with additional tools that enable the computation of the local density of states. The generality of TINIE ranges from wide-band approximation calculations to investigating systems subject to an external magnetic field. The future prospects of TINIE include the simulation of, e.g., two-dimensional cavities, quantum dots, or molecular junctions. The package is written in Python 3.6, and its well-documented modular structure is designed with an intent to create a platform suited for continuous expansion and development. With TINIE it is possible to obtain specific information about the effects of impurities and imperfections in quantum devices, particularly between ballistic and diffusive transport regimes.
DOI: 10.17632/tczzndbprx
title: DeshiFoodBD

description: Traditional Bangladeshi food image classification has become immensely relevant for a variety of reasons, including restaurant selection, travel destination selection, dietary caloric intake, and cultural awareness. However, this is highly challenging to design an effective and useable traditional labelled (English and Bengali) food dataset of Bangladesh for the research purpose. The ‘DeshiFoodBD’ dataset is presented in this article for traditional Bangladeshi food classification purposes. The food images come from two different sources: 1) web scraping and 2) camera (digital, smartphone). The dataset contains 5425-labelled images of 19 famous Bangladeshi foods such as biriyani, kalavuna, roshgolla, hilsha fish, nehari, and so on. The dataset can be used with a variety of CNN architectures, including ResNet50, YOLO, VGG-16, R-CNN, and DPM.
DOI: 10.17632/57f33txrfx
title: Identifying agronomic practices with higher yield and lower global warming potential in rice paddies: a global meta-analysis

description: Data S1, S2, S3, S4, S5, S6, and S7 indicates grain yield, CH4 emission, N2O emission, and GWP regarding inorganic N application, controlled-release N fertiliser, nitrification inhibitor, biochar, no-tillage, non-continuous flooding, and rice-animal co-culture system for all studies included in our meta-analysis, respectively.
DOI: 10.17632/f62hmx4dxy
title: MOMDIS: a Glauber model computer code for knockout reactions

description: Abstract A computer program is described to calculate momentum distributions in stripping and diffraction dissociation reactions. A Glauber model is used with the scattering wavefunctions calculated in the eikonal approximation. The program is appropriate for knockout reactions at intermediate energy collisions (30 MeV ≤ E_(lab)/ nucleon ≤ 2000 MeV). It is particularly useful for reactions involving unstable nuclear beams, or exotic nuclei (e.g., neutron-rich nuclei), and studies of single-part... Title of program: MOMDIS (MOMentum DIStributions) Catalogue Id: ADXZ_v1_0 Nature of problem The program calculates bound wavefunctions, eikonal S-matrices, total cross sections and momentum distributions of interest in nuclear knockout reactions at intermediate energies. Versions of this program held in the CPC repository in Mendeley Data ADXZ_v1_0; MOMDIS (MOMentum DIStributions); 10.1016/j.cpc.2006.04.006 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/mjn6fvxfxb
title: Anechoic recordings of a Cantus Firmus

description: Kyrie from "Missa de Notre Dame" of Guillaume de Machaut (1300--1377).
Four parts - tenor, contratenor, triplum and motetus - performed in an anechoic environment.
DOI: 10.17632/p79cxzy6tx
title: JOSEPHINE : A parallel SPH code for free-surface flows

description: Abstract JOSEPHINE is a parallel Smoothed Particle Hydrodynamics program, designed to solve unsteady free-surface flows. The adopted numerical scheme is efficient and has been validated on a first case, where a liquid drop is stretched over the time. Boundary conditions can also be modelled, as it is demonstrated in a second case: the collapse of a water column. Results show good agreement with both reference numerical solutions and experiments. The use of parallelism allows significant reduction of ... Title of program: <i>JOSEPHINE</i> Catalogue Id: AELV_v1_0 Nature of problem JOSEPHINE is designed to solve unsteady incompressible flows with a free-surface and large deformations. Versions of this program held in the CPC repository in Mendeley Data AELV_v1_0; <i>JOSEPHINE</i>; 10.1016/j.cpc.2012.02.007 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/rxjghsgczt
title: Endoribonucleolytic cleavage of m6A-containing RNAs by RNase P/MRP complex. Park et al.

description: N6-methyladenosine (m6A) is the most abundant internal modification in RNAs and plays regulatory roles in a variety of biological and physiological processes. Despite its important roles, the molecular mechanism underlying m6A-mediated gene regulation is poorly understood. Here, we show that m6A-containing RNAs are subject to endoribonucleolytic cleavage via YTHDF2 (m6A reader protein), HRSP12 (adaptor protein), and RNase P/MRP (endoribonucleases). We demonstrate that HRSP12 functions as an adaptor to bridge YTHDF2 and RNase P/MRP, eliciting rapid degradation of YTHDF2-bound RNAs. Transcriptome-wide analyses show that m6A RNAs that are preferentially targeted for endoribonucleolytic cleavage have an HRSP12-binding site and RNase P/MRP-directed cleavage site, respectively, upstream and downstream of the YTHDF2-binding site. We also find that a subset of m6A-containing circular RNAs associate with YTHDF2 in an HRSP12-dependent manner and are selectively downregulated by RNase P/MRP. Thus, our data expand the known functions of RNase P/MRP to endoribonucleolytic cleavage of m6A RNAs.
DOI: 10.6084/m9.figshare.28694684.v1
title: rawdata poultry.csv

description: Data from cohort study