cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xpmtvn2k7m
title: Dataset for "From metabarcoding to metaphylogeography: separating the wheat from the chaff"

description: This dataset contains files with the relevant information on a metabarcoding dataset used as a case study to test the feasibility of performing phylogeographical studies on metabarcoding data, by Turon X, Antich A, Palacin C, Praebel, K and Wangensteen OS. Abstract of the manuscript: 1. Metabarcoding is by now a well-established method for biodiversity assessment. Metabarcoding datasets are usually used for α- and β-diversity estimates, that is, interspecies (or inter-MOTU) patterns, but they contain an enormous amount of intraspecies (intra-MOTU) information - so far untapped. 2. The use of COI amplicons is gaining momentum in metabarcoding studies targeting many eukaryote groups. COI has for a long time been the marker of choice in population genetics and phylogeography studies. Therefore, COI metabarcoding datasets can be used to study intraspecies patterns and phylogeographic features for hundreds of species simultaneously, opening a new field which we suggest to name metaphylogeography. 3. The main challenge for the implementation of this approach is the separation of erroneous sequences from true intra-MOTU variation. Here, we develop a cleaning protocol based on changes in entropy of the different codon positions of the COI sequence, together with co-occurrence patterns of sequences. 4. Using a dataset of community DNA from several benthic littoral communities in the Mediterranean and Atlantic seas, we first tested by simulation on a subset of sequences a two-step cleaning approach consisting of a denoising step followed by a minimal abundance filtering. The procedure was then applied to the whole dataset. 5. We obtained a total of 563 MOTUs that were usable for phylogeographic inference. We used semiquantitative rank data instead of read abundances to perform AMOVAs and haplotype networks. Genetic variability was mainly concentrated within samples, but with an important between-seas component as well. There were inter-group differences in the amount of variability between and within communities in each sea. For two species the results could be compared with traditional Sanger sequence data available for the same zones, giving similar patterns. 6. Our study shows that metabarcoding data can be used to infer intra- and interpopulation genetic variability of many species at a time, providing a new method with great potential for basic biogeography, connectivity and dispersal questions and for the more applied fields of conservation genetics, invasion genetics, and design of protected areas.
DOI: 10.17632/r78gfrw343
title: European Central Bank׳s monetary policy decisions: A dataset of two decades of press conferences

description: The dataset gathers all press conferences in text form made by the first three Presidents of the European Central Bank since its inception in 1998. Press conferences are composed of two elements: (1) introductory statements and (2) questions and answers (Q&A) from journalists. They serve as the main communication vehicle about the monetary policy decision of the ECB׳s Governing Council. From 1998 to 2016, a total of 205 press conferences have been delivered. The dataset is structured into two main sections: (1) 205 introductory statement of the Presidents of the ECB explaining the monetary policy of the Institution and (2) 205 answers provided by the Presidents to the journalists, hence a total of 410 statements (914,499 words or 3050 pages) about the monetary policy and its context, in text form.
DOI: 10.6084/m9.figshare.942390.v4
title: Bioclimate of Italy: application of the worldwide bioclimatic classification system

description: The worldwide bioclimatic classification system (WBCS) of Rivas-Martínez was applied to the Italian territory and surrounding areas between latitudes 35°47′–46°60′ N and longitudes 5°92′–21°39′ E. The ‘WorldClim’ precipitation and temperature dataset was used as the source data. Application of the WBCS in a geographic information system allowed the production of macrobioclimates, bioclimates, ombrotypes, continentality, compensated thermicity index and ombro-evaporal index maps at a scale of 1:5,500,000, and a map of thermotypes at a scale of 1:2,250,000. Moreover, the isobioclimates of Italy are identified and quantified in terms of areas. These maps are available here as raster datasets (1 km spatial resolution) and are useful for: (i) rapid bioclimatic diagnosis of the Italian territories; and (ii) vegetation–environment relationship modeling at the national scale.
DOI: 10.17632/jjgtktxht5
title: CDNN

description: Convolutional deep neural network (CDNN) Models that classify glioblastoma into subtypes.
DOI: 10.17632/jzr8whnpyy
title: Appendix: Financial Data of NIFTY Companies

description: Appendix
DOI: 10.17632/mykkx4gygy
title: REFMC 1929 - 2012 (Romanian Earthquake Focal Mechanism Catalogue)

description: REFMC 1929 - 2012 (Romanian Earthquake Focal Mechanism Catalogue) was compiled by Mircea Radulian, Andrei Bălă and Dragoș Toma-Dănilă from the National Institute for Earth Physics (INFP), Romania (http://www.infp.ro/) and comprises of earthquakes in Romania, in the 1929 - 2012 period, for which we were able to compute or retrieve focal mechanism parameters. The catalogue divides earthquakes into two categories: crustal earthquakes (h &lt; 50 km) and intermediate-depth earthquakes (h ≥ 50 km, all in the Vrancea area). Information regarding the catalogue was published in two separate papers which we invite you to read and cite: 1. Radulian M., Bala A., Popescu E., Toma-Danila D. (2018) Earthquake mechanism and characterization of seismogenic zones in south-eastern part of Romania. Annals of Geophysics, 61(1), SE108. 2. Radulian M., Bala A., Ardeleanu L., Toma-Danila D., Petrescu L., Popescu E. (2019) Revised catalogue of earthquake mechanisms for the events occurred in Romania until the end of twentieth century: REFMC. Acta Geodaetica et Geophysica, 54, 1, 3-18. If you download and use this catalogue in your work, beside the 2 citation given, please provide the reference of this complete catalogue presented here: - Radulian, Mircea; Bala, Andrei; Toma-Danila, Dragos (2020), “REFMC 1929 2012 (Romanian Earthquake Focal Mechanism Catalogue) ”, Mendeley Data, V3, doi: 10.17632/mykkx4gygy.3
DOI: 10.17632/w46xsffbp9
title: Intralesional Candida antigen versus intralesional tuberculin in the treatment of recalcitrant genital warts: A comparative study

description: Treatment of genital warts using intralesional immunotherapy has been recently investigated in a few studies and showed promising efficacy and safety, and low recurrence rates as compared to traditional ablative therapies. In this study, we evaluated the efficacy and safety of intralesional Candida antigen injection versus intralesional tuberculin injection in the treatment of recalcitrant genital warts. According to the presented results, intralesional immunotherapy by Candida antigen and tuberculin seems to be a promising alternative modality for the treatment of recalcitrant multiple genital warts.
DOI: 10.17632/82b8sdft79
title: CADISHI: Fast parallel calculation of particle-pair distance histograms on CPUs and GPUs

description: We report on the design, implementation, optimization, and performance of the CADISHI software package, which calculates histograms of pair-distances of ensembles of particles on CPUs and GPUs. These histograms represent 2-point spatial correlation functions and are routinely calculated from simulations of soft and condensed matter, where they are referred to as radial distribution functions, and in the analysis of the spatial distributions of galaxies and galaxy clusters. Although conceptually simple, the calculation of radial distribution functions via distance binning requires the evaluation of O(N^2) particle-pair distances where N is the number of particles under consideration. CADISHI provides fast parallel implementations of the distance histogram algorithm for the CPU and the GPU, written in templated C++ and CUDA. Orthorhombic and general triclinic periodic boxes are supported, in addition to the non-periodic case. The CPU kernels feature cache-blocking, vectorization and thread-parallelization to obtain high performance. The GPU kernels are tuned to exploit the memory and processor features of current GPUs, demonstrating histogramming rates of up to a factor 40 higher than on a high-end multi-core CPU. To enable high-throughput analyses of molecular dynamics trajectories, the compute kernels are driven by the Python-based CADISHI engine. It implements a producer–consumer data processing pattern and thereby enables the complete utilization of all the CPU and GPU resources available on a specific computer, independent of special libraries such as MPI, covering commodity systems up to high-end HPC nodes. Data input and output are performed efficiently via HDF5. In addition, our CPU and GPU kernels can be compiled into a standard C library and used with any application, independent from the CADISHI engine or Python. The CADISHI software is freely available under the MIT license.
DOI: 10.17632/bv33n4vjxm
title: Dataset on Digital Financial Inclusion and Artificial Intelligence: A Structural Equation Modeling (SEM) Approach

description: This data is the Excel format of the survey dataset generated from the fieldwork on Digital financial inclusion and Artificial intelligence.  The responses from the respondents have been coded with a five-point Linkert scale. The data was used to measure the impact of artificial intelligence applications on digital financial inclusion.  The data set tests the hypothesis that artificial intelligence applications have significantly influenced digital financial inclusion among commercial banks particularly in South West Nigeria.  Thus, it measures whether there exists a significant relationship between the adoption and utilization of artificial intelligence applications and its significant role in the promotion of digital financial inclusion with much focus in remote areas. The data is saved in both Excel format.
DOI: 10.17632/fy76myt9g3
title: Data for: Gender Differences in Performance under Time Constraint: Evidence from Chess Tournaments

description: Country Level Data
DOI: 10.17632/jpbwp65cwb
title: Data for: How normal is normal: consequences of stride to stride variability, treadmill walking and age when using normative paediatric gait data.

description: This workbook contains supplementary material for the article: How normal is normal: Consequences of stride to stride variability, treadmill walking and age when using normative pediatric gait data. There are 6 worksheets in addition to this one: Population Demographics, Spatiotemporal, Joint Rotations, Joint Moments, Joint Powers and CROP as plotted in figures of article. Each of the worksheets contains data from the treadmill and overground walking conditions. Row: Variable name with positive/negative sense indicated where appropriate. Example Pelvic Up/Down Obliquity means that Up is positive, Down is negative. Row presented as 0-100% gait cycle MEAN, followed by 1SD per % gait cycle (colums CZ onward) . Consecutive blue shading defines Treadmill data.
DOI: 10.17632/kg74mpjzfv
title: Neural and behavioral evolution in an eavesdropper with a rapidly evolving host

description: The following are data files required to generate figures in Wikle et al. 2025. In this study, we investigate the neural and behavioral auditory changes in Hawaiia Ormia ochracea compared to Floridian Ormia ochracea. Descriptions of the data files can be found in 'Wikle_et_al_2025_descriptions_of_data_files.docx'.
DOI: 10.17632/ryhjnm6xnc
title: Facebook Users' Interactions, Organic Reach, and Engagement

description: Graphical Abstracts Facebook Users' Interactions, Organic Reach, and Engagement in a Smoking Cessation Intervention: Content Analysis
DOI: 10.17632/ssnc74xm6r
title: CIC-DDoS2019 Dataset

description: Distributed Denial of Service (DDoS) attack is a menace to network security that aims at exhausting the target networks with malicious traffic. Although many statistical methods have been designed for DDoS attack detection, designing a real-time detector with low computational overhead is still one of the main concerns. On the other hand, the evaluation of new detection algorithms and techniques heavily relies on the existence of well-designed datasets. In this paper, first, we review the existing datasets comprehensively and propose a new taxonomy for DDoS attacks. Secondly, we generate a new dataset, namely CICDDoS2019, which remedies all current shortcomings. Thirdly, using the generated dataset, we propose a new detection and family classification approach based on a set of network flow features. Finally, we provide the most important feature sets to detect different types of DDoS attacks with their corresponding weights.

The dataset offers an extended set of Distributed Denial of Service attacks, most of which employ some form of amplification through reflection. The dataset shares its feature set with the other CIC NIDS datasets, IDS2017, IDS2018 and DoS2017

original paper link: https://ieeexplore.ieee.org/abstract/document/8888419
kaggle dataset link: https://www.kaggle.com/datasets/dhoogla/cicddos2019
DOI: 10.17632/yt92wc9wsb
title: Job creation and job destruction in Indian manufacturing

description: This data is used to calculate the dynamics of job reallocation of Indian manufacturing. The file named do_file contains the STATA codes for the analysis and the file named data description describes the changes in the sampling strategy in the Annual Sample of Industries.
DOI: 10.17632/4j8hcv62j3
title: Bond of steel reinforcement in self-compacting concrete

description: The data represent the simulated data obtained using the proposed equation in a previously published research article of the author (Eq. 6), to predict the peak bond stress in self-compacting concrete (SCC). The data consisted of 500 simulations for various concrete grades (C12, C16, C20, C25, C30, C35, C40, C45, and C50) and reinforcing steel bar diameters (10, 12, 16, 20, and 25 mm). The first 20 data correspond to the predicted values of the peak bond stress considering the parameters used in the previous research article of the author. These data are valid for well-confined concrete in which pull-out failure may occur. For additional information about the bond model please consult the reference below. Abbreviations used for the data: f_cm = mean value of the concrete cylinder compressive strength (MPa) φ = diameter of an anchored bar (mm) c_min = minimum concrete cover (mm) l_d = anchorage length of a bar (mm) a_max = height of the transverse ribs of an anchored bar (mm) c = distance between the transverse ribs of an anchored bar (mm) f_R = relative rib area (-) n_t = number of legs of the confining reinforcement crossing a potential splitting failure surface at a section (-) A_st = cross-sectional area of one leg of a confining bar (mm2) n_b = number of anchored bars (-) s_t = longitudinal spacing of the confining reinforcement (-) K_tr = density of the transverse reinforcement (-) τ_R = peak bond stress calculated using Eq. 6 (MPa) MC2010 = peak bond stress from fib Model Code 2010 (MPa) τ_R/MC2010 = ratio of the peak bond stress calculated using Eq. 1 and the peak bond stress from fib Model Code 2010 (-)
DOI: 10.17632/ccp6x8fjb5
title: Mechanical and physical properties of Jarosite concrete.

description: The mechanical, and physical properties of jarosite incorporated concrete.
DOI: 10.17632/t9m434dtnj
title: Household Inflation Heterogeneity and the Relative Price Elasticity Channel of Monetary Policy Replication Files

description: This replication folder provides all data and codes necessary to replicate all results of the paper Household Inflation Heterogeneity and the Relative Price Elasticity Channel of Monetary Policy. In this paper, we show that considerable differences in inflation rates exist among households in the United States. Against this background, we theoretically show that a central bank that considers household inflation heterogeneity can stabilize overall inflation more effectively. Using a tractable, multi-sector New Keynesian model with a low- and a high-income household, we show that a central bank that reacts to the inflation rate of the household less affected by price changes can achieve lower deviations of all households' inflation rates from their steady states. The reason is that a weaker central bank reaction dampens an adverse relative price elasticity channel of monetary policy, allowing for more favorable relative price adjustments. The strength of this channel depends on household heterogeneity.
DOI: 10.6084/m9.figshare.22111211.v1
title: Femicide and Life and bodily integrity crimes in Mexico

description: This database is formed with real data of Secretariado Ejecutivo del Sistema Nacional de Seguridad Pública in Mexico, includes femicide and bodiliy integrity crimes in Mexico from 2015 to March 2022 <br>
DOI: 10.17632/f22vb6fmgk
title: Data for: Data on health risk assessment of nitrate contamination in groundwater of rural areas in the Yerraguntla Mandal, South India

description: present study was to determine the distribution levels of nitrate contamination in drinking water and its associated health impact limestone mining area Yerraguntla. For this 40 ground water samples were collected randomly during April 2018. Most of the groundwater samples are exceeding the permissible limits of nitrate (45 mg/l). Nitrate concentration in groundwater samples ranges from 2.50 to 760.12, with a mean of 86.13. Hence health risk assessment of nitrate has been carried out. Hazard quotient (HQ) values for infants, children, male and female ranges from 0.05 to 14.25; 0.06 to 18.53; 0.04 to 12.18 and 0.05 to 14.62 respectively. The finding of data showed that HQ value was more than 1 in 42.5 % of samples in groups of infants, children and female, and 35 % of samples in group of male.
DOI: 10.17632/g4gmgyhxhh
title: EV-obesity

description: Extracellular vesicles (EV) are small membrane particles released by most cell types in response to different stimuli and, represent a new communication modality based on their specific cargo. According to their biogenesis and size, EV can be classified into three main subtypes: exosomes (30-150 nm), microvesicles or microparticles -large EV- (100-1000 nm), and apoptotic bodies (1-5 μm). However, the current main body of research is sustained in the study of EV up to 1 μm in diameter (large EV [lEV]).

Furthermore, blood and endothelial cell-derived lEV participate in all the stages of the atherothrombotic process and thus, may contribute to explaining the known residual CV risk that patients with obesity and other associated comorbidities still present following BS, even after massive weight loss along with a great metabolic improvement. 

Previous studies have identified increased endothelial and blood cell-derived lEV levels in individuals with T2D or obesity. However, very few studies, with limited sample sizes and conflicting results, have explored the interaction of these two metabolic disorders on the EV profile. On the other hand, although former research groups have shown a significant reduction in EV subtypes after BS, others have reported no significant changes. It should also be emphasized that none of the published studies so far have included patients with or without T2D and a normal-weight control group. Furthermore, the relationship between lEV and classical and non-classical CV risk factors has not specifically been assessed, and no consistent results have been reported up to now. Thus, if endothelial dysfunction and/or an abnormal lEV profile could be fully reversible after BS is still unclear. 

We aimed to compare the release of lEV from blood and endothelial cells between individuals with obesity with or without T2D before and 1 year after BS, and age and sex-matched healthy controls. We further aimed to explore the relationship between the magnitude of lEV concentration changes and the clinical and biochemical outcomes 1-year after BS.

Herein, we present all the supplementary fields related to the observational clinical study: “Effects of bariatric surgery on blood and vascular large extracellular vesicles in individuals with or without type 2 diabetes".
DOI: 10.17632/kg5yjcs7b4
title: Cost-effectiveness_Lung cancer screening_Dataset

description: This dataset is supportive to the research article entitled ‘Cost-effectiveness of lung cancer screening with low-dose computed tomography in heavy smokers: A micro-simulation modelling study’ (Yihui Du et al. 2020). The input data used for tumour growth model and self-detected tumour size model were provided. The following output data were included, data used for cost-effectiveness analysis of lung cancer screening with the Dutch and international discount rates, data of the sensitivity analysis and data of the model validation. The description of the data can be found in the related article in the Data in Brief.
DOI: 10.17632/khgntzsc9g
title: Hybrid Vigor Article

description: Complementary data of "Hybrid Vigor article" are available in five pdf files.
DOI: 10.17632/825rhsxhj5
title: Indigenous Knowledge Practices

description: This data was collected for the research purpose of indigenous knowledge within the Musina Local Municipality, the aim was to try and understand the perceptions of rural communities regarding their indigenous knowledge. We wanted to understand how rural communities interact with nature. This is a simple dataset with demographic data. It was collected through household survey questionnaires. Permission was granted through a consent form by the the participants. It can be interpreted through both qualitative and quantitative data analysis methods.
DOI: 10.17632/n3fmsvtvh9
title: employability, self efficacy, career resources

description: employability, self efficacy, access to career resources