cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2vsrjbtfp5.1
title: Data for: FlotationNet: A hierarchical deep learning network for froth flotation recovery prediction

description: Data are from a manufacturing froth flotation plant. The first column shows time and date range (from march of 2017 until september of 2017).The second and third columns are quality measures of the iron ore pulp right before it is fed into the flotation plant. Column 4 until column 8 are the most important variables that impact in the ore quality in the end of the process. From column 9 until column 22, we can see process data (level and air flow inside the flotation columns, which also impact in ore quality. The last two columns are the final iron ore pulp quality measurement from the lab.
DOI: 10.17632/rtzby7pv7m.1
title: A benchmark dataset for multi-objective flexible job shop cell scheduling

description: This dataset is motivated by the multi-objective flexible job shop scheduling problem in a cellular manufacturing environment, as presented in [1]. The dataset is elucidated in a corresponding data article intended for publication in 'Data in Brief'. This dataset includes a set of synthetically generated problem instances for the FJCS-SDFSTs-ITTs benchmark problem with various characteristics.  These problem instances can be used by researchers to compare the performance of heuristic and meta-heuristic solution strategies. The data article provides details about the naming of the instances and solutions, the instance generation procedure, the heuristic methods used for computing the solutions, and the mathematical problem formulation. 

[1] Deliktaş, D., Özcan, E., Ustun, O., Torkul, O., (2021). Evolutionary algorithms for multi-objective flexible job shop cell scheduling, Applied Soft Computing 113(A), 107890. https://doi.org/10.1016/j.asoc.2021.107890.
DOI: 10.17632/kp3g7dkzwf.1
title: Data for: Identification of bacterial isolates from a public hospital in Australia using complexity-reduced genotyping

description: These compressed directories contain fastA files of complexity-reduced genotyping by sequencing data of bacterial isolates from a public hospital in Australia. Sequencing data of a total of 165 bacterial isolates are included in these data sets of the following species: Enterococcus faecium, Staphylococcus aureus, Enterobacter cloacae complex, Citrobacter freundii, Klebsiella pneumoniae, Klebsiella oxytoca, Enterobacter asburiae, Escherichia coli, Morganella morganii, Citrobacter amalonaticus, Enterobacter aerogenes, Enterococcus faecalis, Hafnia alvei, Providencia rettgeri and Serratia marcescens. Additionally, this dataset includes sequencing results of genomic DNA of E. coli O157 (EDL 933) IRMM449 Sigma-Aldrich certified reference. All bacterial isolates were processed with the following combination of restriction enzymes: PstI with MseI, PstI with HpaII and MseI with HpaII. Some samples contain technical replicates and the certified reference contains six technical replicates. Each directory contains a Microsoft Excel Comma Separated Values File with bacterial isolate information, including an internal unique identity number (TargetID), the sample name (Genotype), material used for DNA extraction (Tissue), complexity-reduced genotyping method (Comment), and other details produced after sequencing (e.g. extract plate barcode, extract well, flowcell ID, flowcell lane). For a detailed description of how this data was obtained, please refer to the article "Identification of bacterial isolates from a public hospital in Australia using complexity-reduced genotyping (2019) Berenice Talamantes-Becerra, Jason Carling, Karina Kennedy, Michelle E. Gahan, Arthur Georges. Journal of Microbiological Methods, Volume 160, May 2019, Pages 11-19. https://doi.org/10.1016/j.mimet.2019.03.016
DOI: 10.17632/nv6vpf7f8h.1
title: Data for: Analysis of crater formation in buried NG pipelines: A survey based on past accidents and evaluation of domino effect

description: Database with 90 accidents involving the formation of craters by the rupture of buried NG pipelines.
DOI: 10.17632/sg48whb8j7.2
title: Chiquito river, riparian zone

description: Analysis of the soil conditions in the riparian zone of the Chiquito river, Morelia, Michoacán (Aguirre-Alberto and Jaramillo-López, 2023): 1. Riparian soil data. Data set. Mean data of the soil characteristics at 0-20 cm depth. 2. Riparian soil comparison data. A table of the concentrations of PTEs in other reference urban soils and the sampling sites.
DOI: 10.17632/h9n62w5ycb.1
title: Nonlinear Transmission of International Financial Stress

description: This folder contains information and instructions to replicate results associated with Tuzcuoglu, K. (2024), Nonlinear Transmission of International Financial Stress, Economic Modelling.
DOI: 10.17632/dmsrhhm65h.1
title: Attachment, Compassion and Empthy in Nurses

description: SPSS & Amos
DOI: 10.17632/fgjy2s3nk7.2
title: Concrete Cracks Image Dataset (CCID)

description: The dataset is collected from the Faculty of Engineering and Natural Sciences, Gumushane, Turkey. Two smartphones with an Android operating system were used in the image shooting. These devices are Samsung Galaxy M31 and Samsung Galaxy A50. The total number of images was 2126, produced from smartphone cameras. The dataset has two categories: “No Cracks” and “Cracks.” Images have different pixel resolutions such as 1860x4032 and 1504x3264 are in jpg format.
DOI: 10.17632/hn2b8wcvvs.1
title: The Impact of Acute Extreme Trauma on Onset and Worsening of Obsessive-Compulsive Disorder Symptoms: Insights from The October 7th, 2023 Events in Israel

description: Data for The Impact of Acute Extreme Trauma on Onset and Worsening of Obsessive-Compulsive Disorder Symptoms: Insights from The October 7th, 2023 Events in Israel
DOI: 10.17632/2v7smndw7s.2
title: Original TEM data (SAED, HRTEM, EELS) for "Evidence for the disproportionation of iron in a Eucrite meteorite"
DOI: 10.17632/3gkzsr95nr.1
title: Phase-dependent enhancement of working memory retention using closed-loop transcranial alternating current stimulation of alpha oscillations

description: This repository has been moved to G-Node GIN: https://gin.g-node.org/davidhaslacher/Working-memory-CLAM-tACS.
DOI: 10.17632/4kvdt2zfvr.1
title: Abdominopelvic exercise program alone VS in addition to postural instructions

description: We hypothesized that verbal postural instructions during abdominopelvic exercises would enhance PFMs activation and strength resulting in improved symptoms of SUI in women. PFMs electromyographical (EMG) activity and strength were quantified during a maximal voluntary contraction before and after two interventions in women with SUI. SUI symptoms were assessed using a 3-day bladder diary.
DOI: 10.17632/xb728xftgv.1
title: Marlics: A finite difference liquid crystal simulation package

description: In this paper we present Marlics (Maringá Liquid Crystal Simulator), a software written in C++ to obtain either the system dynamics, by using the Runge-Kutta method, or the minimum energy states with the Fast Inertial Relaxation Engine (FIRE) for both achiral and chiral nematic liquid crystals. The system solved by Marlics consists in the dynamical evolution for the Q-tensor in the Landau-de Gennes formalism for different geometries, including confined slab cells and spherical, liquid crystal droplets. Furthermore, the code accepts custom geometries, so the user may provide a particular geometry of interest to run simulations. The program takes as input a descriptive file giving the simulations parameters and initial conditions, generating a series of different snapshots distributed in time according to the users' needs. Several initial conditions are provided to help the user starting simulations direct to different goals. The code is organized in class modules, which can be modified by the user base to attend their further needs.
DOI: 10.17632/zz8hpyx939.2
title: Run-to-failure vibration dataset of self-aligning double-row ball bearings - PART 2

description: Data sourced from actual operational systems constitutes a pivotal asset for scholarly investigations in the domain of machine diagnostics and prognostics. The exigency for such data has witnessed a notable surge in recent times, primarily propelled by the burgeoning interest in prognostic methodologies and the advancement of artificial intelligence (AI) technologies tailored for predictive maintenance applications. When harnessed for fault detection and prognostic endeavors, data must inherently possess the capacity to furnish insights into the degradation phenomena inherent to machinery. Moreover, a fundamental aim of prognostics entails the anticipation of the remaining useful life (RUL), a task necessitating substantial datasets for the application of data-driven techniques or the validation of physics-based models.

Bearings, being subjected to a diverse spectrum of loads and fatigue stresses, carry the potential for catastrophic failure, thereby impacting the operational integrity of entire machinery systems or industrial plants. 

The Department of Engineering at the University of Ferrara has undertaken an extensive experimental campaign aimed at documenting the temporal evolution of vibration signals over the lifecycle of self-aligning double row rolling element bearings. Six accelerated run-to-failure trials were conducted, during which acceleration signals were continuously captured utilizing a uniaxial accelerometer. Concurrently, a radial load was imposed on the bearing housing and regulated via a load cell. Ensuring consistency, the shaft speed was maintained at a constant level, facilitated by an electric motor actuated by an inverter.

The resultant dataset encapsulates acceleration signals along the radial axis spanning the entirety of the experimental tests, thereby offering a valuable resource for both scholarly inquiry and industrial applications alike.

This dataset provides the Part 2 of data collected during the experimental campaign.
Data is provided in .mat format and each file contains two variables: the acceleration signal in radial direction and the sampling frequency.
DOI: 10.17632/r9vn7x287r.1
title: 1. Structure of the zebrafish locomotor repertoire revealed with unsupervised behavioural clustering Marques

description: Tracking data and tracking software associated with Marques et al., 2018 Current Biology (Part 2) http://www.cell.com/current-biology/fulltext/S0960-9822(17)31604-4 DOI: http://dx.doi.org/10.1016/j.cub.2017.12.002
DOI: 10.17632/whtnz2w7t9.2
title: Arabica coffee - IAC/EMBRAPA - BRAZIL
DOI: 10.17632/w8vppbf9br.1
title: Dataset on Cognitive Control, Emotional Triggers, Body Image, Salience, and Habit Formation to Investigate Neurological Aspects of Eating Disorders

description: This dataset contains those behavioral aspects related to eating disorders, including cognitive control, emotional triggers, perception of body image, and practices followed in order to regulate weight, which could be useful in research into the neurological associations linked with eating disorders. Data collection was done through an online survey completed by 550 participants. The questionnaire comprises 56 questions, which are divided into six sections: demographic information, cognitive control, affective value representation, salience or taste processing, body image processing, and reward processing or habit formation. First five was for demographic, items 6 through 38 were adapted from the Dutch Eating Behavior Questionnaire; items 39 through 51 were adapted from the Eating Disorder Examination Questionnaire, and items 52 through 55 were designed for this research. The last question refers to how the participants perceive themselves in relation to eating disorders. Data collection was done using Google Forms and openly stored in Google Sheets, and distribution was made by email, social networks, and a QR code for face-to-face collection. This dataset could help other researchers by providing a rich contribution to understanding the constructs of emotional and habitual behavior in eating patterns, and it informs the development of brain-based models to better conceptualize eating disorders.
DOI: 10.17632/xz7gbfj68j.1
title: Total database

description: Diagram of the selection of articles and total database.
DOI: 10.17632/4skwhnrscr.2
title: Goat Image Dataset

description: Two different types of image datasets are uploaded. The first dataset (dataset_1) is useful for detection purpose. This consists of a total 1680 goat image where the face, eye, mouth and ear bounding boxes are given in YOLO format. On the other hand, the second dataset (dataset_2) is for face recognition and facial expression analysis. In total 1311 images are captured from 10 individuals of a Chinese farm. Finally, "yolov4-custom_best.weights" and "yolov4-tiny-custom_final.weights" are the trained weights for face, eye, mouth and ear detection.
DOI: 10.17632/hytzz8wftw.1
title: Codes and Data Package: Long-Term Macroeconomic Effects of Climate Change: A Cross-Country Analysis

description: This package contains all the Stata data, do, and ado files needed to replicate the empirical findings in "Long-Term Macroeconomic Effects of Climate Change: A Cross-Country Analysis", forthcoming in Energy Economics.

Abstract: We study the long-term impact of climate change on economic activity across countries, using a stochastic growth model where productivity is affected by deviations of temperature and precipitation from their long-term moving average historical norms. Using a panel data set of 174 countries over the years 1960 to 2014, we find that per-capita real output growth is adversely affected by persistent changes in the temperature above or below its historical norm, but we do not obtain any statistically significant effects for changes in precipitation. We also show that the marginal effects of temperature shocks vary across climates and income groups. Our counterfactual analysis suggests that a persistent increase in average global temperature by 0.04°C per year, in the absence of mitigation policies, reduces world real GDP per capita by more than 7 percent by 2100. On the other hand, abiding by the Paris Agreement goals, thereby limiting the temperature increase to 0.01°C per annum, reduces the loss substantially to about 1 percent. These effects vary significantly across countries depending on the pace of temperature increases and variability of climate conditions. The estimated losses would increase to 13 percent globally if country-specific variability of climate conditions were to rise commensurate with annual temperature increases of 0.04°C.
DOI: 10.17632/6h6rhwfkpy.1
title: A multi-format open-source historic wall image dataset for architects, historians, data scientists to detect, classify, and analyze.

description: The historical place dataset presents a collection of images of different features gathered from Panam City, a United Nations Educational, Scientific, and Cultural Organization (UNESCO) World Heritage Site situated in Sonargoan, Dhaka, Bangladesh, located at the geographical coordinates 23.6421599°N and 90.6023361°E. The data collection period, from October 6 to October 7, 2023, resulted in a dataset encompassing a total of 2,292 images. The dataset is categorized into five classes: Artistic, Corroded Brick, Corroded Plastic, Fungus, and Living Plant. The data collection process was conducted on a sunny day, ensuring natural lighting conditions, with temperatures ranging from approximately between 26-28°C. The images were captured using the high-resolution camera of an iPhone. The original images were captured in JPEG format with a resolution of 3024 x 4032 pixels and subsequently converted to a resolution of 1080 x 1440. The iPhone 13 was employed for capturing the dataset's photographs. Furthermore, the images have been annotated based on their features, facilitating semantic segmentation, which has garnered considerable attention among data scientists.
DOI: 10.17632/chd8hx65r4.1
title: Synthetic Continuous Glucose Monitoring (CGM) Signals

description: Based on a trained Conditional Generative Adversarial Network (CGAN), the dataset contains 40,000 CGM days with a sampling frequency 288/day, equivalent to 940,000 hours of synthetic CGM. The dataset contains both signal resembling people with type 1 diabetes and healthy individuals. Profiles are categorized into four groups resembling different HbA1c levels: (1) below 6.5% (healthy without diabetes), (2) between 6.5% to &lt;7%, (3) between 7% to &lt;8% and (4) above 8%.
DOI: 10.17632/h5rcnxpk8w.1
title: Management of hyperglycaemia in type 2 diabetes, 2018. Consensus report ADA/EASD

description: Details of the systematic search
DOI: 10.17632/87rbss8vyj
title: Genome-wide characterization of the 14-3-3 gene family of Lycium barbarum L. and its expression pattern analysis under Fusarium root rot infection

description: The 14-3-3 proteins are crucial for plant growth, development, and stress response. Lycium barbarum L., a major cash crop and medicinal plant, offers significant economic and ecological benefits. Nineteen genes encoding proteins with PF00244 typical conserved structural domains were found by looking through the whole genome of the L. barbarum. Phylogenetic analysis of L. barbarum and other plants showed that 14-3-3 proteins can be classified into ε and non-ε categories; gene structure analysis, gene length, and number of introns varied greatly among members of the 14-3-3 gene family of L. barbarum. Members of the LbGRFs family are unevenly distributed on chromosomes. The investigation of promoter cis-acting elements revealed that the LbGRFs promoter has cis-acting elements for several hormones and stressors. An analysis of covariance within the species indicates that fragment duplication is the primary cause of the 14-3-3 gene family amplification in L. barbarum. Several 14-3-3 genes experienced evolved from a common ancestor, according to the results of the interspecies covariance analysis of the tomato, Arabidopsis thaliana, and L. barbarum. In this work, we completed the genome-wide identification, evolution, and expression investigation of the L. barbarum's 14-3-3 gene family. These results provide important information for further study of the function of 14-3-3 gene family in L. barbarum. The results of qRT-PCR showed that the expression level of 14-3-3 gene family in L. barbarum was affected by root rot bacteria, which may play an important role in the resistance of L. barbarum to root rot disease.
DOI: 10.17632/cshzgsnbb4.1
title: LINF_260032700

description: hypothetical protein - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/vhmf7w5zyr.1
title: Data_WallaceEtAl_Reconstructions of individual fish trophic geographies using isotopic analysis of eye-lens amino acids

description: Amino-acid isotope data associated with publication entitled "Reconstructions of individual fish trophic geographies using isotopic analysis of eye-lens amino acids" by Amy A. Wallace, Greg S. Ellis, and Ernst B. Peebles
DOI: 10.17632/3vfsgssk8g.1
title: Yoga for musculoskeletal health in industry workers

description: This study was conducted to assess the effect of Yoga on Musculoskeletal health, sleep and stress among industry workers. CMDQ, PSS and PSQI were used as assessment tools.
DOI: 10.17632/kzk3khxdz8.1
title: Eplorting arbuscular mycorrhizal fungi diversity among loquat varieties

description: The data is from the amplicon sequencing of the second generation of the soil rhizosphere of loquat, yielding sequences of Arbuscular Mycorrhizal Fungi (AMF).
DOI: 10.17632/b8dchtxnj7.1
title: DLA

description: Articles and conference papers published over the past 30 years (1992 – 2022) about Digital Library Adoption (DLA)
DOI: 10.17632/7g9frz6sm8.1
title: Tarrif of Time of Use (ToU) Indian Power System

description: I this dataset, different tarrif rate at corresponding time of use (ToU) are mentioned with nature of load profile like whether it is "Valley", "Flat" or "Peak". in Indian Power Grid System.
DOI: 10.17632/zn7b85hgk6.1
title: Clinical characteristics of children with lysosomal acid lipase deficiency

description: Lysosomal acid lipase deficiency (LAL-D) is a rare hereditary disorder, caused by pathogenic variant in the LIPA gene. LAL-D is screened as a secondary disorder among other rare dyslipidemias exhibiting with hypercholesterolemia as part of the Slovenian universal familial hypercholesterolemia (FH) screening program. We present clinical and genetical data of 3 children with LAL-D, and data for prevalence estimation in Slovenia.
DOI: 10.17632/2fmj3kz8b9
title: Risk of Alopecia Areata Induced by Biologic Therapy in Psoriasis and Psoriatic Arthritis: A 20-Year Real-World Pharmacovigilance Analysis Using the FAERS Database

description: The study investigates the potential adverse effect of alopecia areata (AA) in patients with psoriasis and psoriatic arthritis (PsA) undergoing biologic therapy. The research aims to evaluate the association and risk of AA with biologics using real-world data from the US Food and Drug Administration Adverse Event Reporting System (FAERS) database from Q1 2004 to Q3 2024. The study conducted a disproportionality analysis, calculating the reporting odds ratio (ROR) to identify unusually high reporting frequencies of AA among patients treated with biologics. 

Key findings include:
- A total of 108 reports of AA in the context of psoriasis or PsA treatment were retrieved, with 92 attributed to biologics.
- The overall ROR of biologics was 2.12 (95% CI: 1.33–3.38), indicating a significant association.
- Certain biologics showed significant associations with AA, including TNF-α inhibitors adalimumab (ROR = 1.65) and infliximab (ROR = 2.64), IL-23 inhibitor risankizumab (ROR = 2.30), and IL-12/23 inhibitor ustekinumab (ROR = 2.88).
- Other biologics such as etanercept, ixekizumab, and secukinumab did not show significant RORs.

The study emphasizes the need for clinicians to recognize AA as a potential adverse event associated with specific biologics and the importance of personalized treatment strategies to minimize the impact of paradoxical reactions. However, the study acknowledges several limitations, including the exclusion of some biologics due to low AA report numbers, potential biases in voluntary reporting to FAERS, and the inherent limitations of the ROR method, such as dependency on reported data and potential confounding factors.
DOI: 10.15468/dl.kzcwta
title: Occurrence Download

description: A dataset containing 1839 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platanus occidentalis L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1839 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009274-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mm9m5wtzfv.2
title: AUGMENTED REALTY AND ADVERTISING: A QUALITATIVE STUDY

description: Almost all of us are aware of the mobile game Pokémon Go. This has happened because of the new buzzword in the advertising and marketing industry named Augmented Reality. In the recent past, digital advertising has evolved so much that it has become a necessity for all kinds of businesses. We can sense it by observing its rapid growth throughout all social media and search engines. Today we are observing another technological shift, spatial computing which is dragging consumers to interact with the brands even more.
The main purpose of this paper is to create awareness about Augmented Reality and the possibility of AR in the Advertising Industry. Another objective of this study is to examine how strongly it enhances the primary model of Advertising, AIDA. Through this paper, we will investigate how consumers’ interactions with the brands are changing and how directly or indirectly it’s pushing sales and brand recall factor. In short, the primary intention of this paper is to shed light upon how this new technological invention is changing the advertising landscape throughout the world.