cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/4nhx2x67cd
title: ALARM LOGS IN PACKAGING INDUSTRY (ALPI)

description: The advent of the Industrial Internet of Things (IIoT) has led to the availability of huge amounts of data, that can be used to train advanced Machine Learning algorithms to perform tasks such as Anomaly Detection, Fault Classification and Predictive Maintenance. Even though not all pieces of equipment are equipped with sensors yet, usually most of them are already capable of logging warnings and alarms occurring during operation. Turning this data, which is easy to collect, into meaningful information about the health state of machinery can have a disruptive impact on the improvement of efficiency and up-time. The provided dataset consists of a sequence of alarms logged by packaging equipment in an industrial environment. The collection includes data logged by 20 machines, deployed in different plants around the world, from 2019-02-21 to 2020-06-17. There are 154 distinct alarm codes, whose distribution is highly unbalanced. This data can be used to address the following tasks: 1. Next alarm forecasting: this problem can be framed as a supervised multi-class classification task, or a binary classification task when a specific alarm code is considered. 2. Predicting alarms occurring in a future time frame: here the goal is to forecast the occurrence of certain alarm types in a future time window. Since many alarms can occur, this is a supervised multi-label classification. 3. Future alarm sequence prediction: here the goal is predicting an ordered sequence of future alarms, in a sequence-to-sequence forecasting scenario. 4. Anomaly Detection: the task is to detect abnormal equipment conditions, based on the pattern of alarms sequence. This task can be either unsupervised, if only the input sequence is considered, or supervised if future alarms are taken into account to assess whether or not there is an anomaly. All of the above tasks can also be studied from a continual learning perspective. Indeed, information about the serial code of the specific piece of equipment can be used to train the model; however, a scalable model should also be easy to apply to new machines, without the need of a new training from scratch. The collection and release of this dataset has been supported by the Regione Veneto project PreMANI (MANIFATTURA PREDITTIVA: progettazione, sviluppo e implementazione di soluzioni di Digital Manufacturing per la previsione della Qualita e la Manutenzione Intelligente - PREDICTIVE MAINTENANCE: design, development and implementation of Digital Manufacturing solutions for the intelligent quality and maintenance systems).
DOI: 10.17632/5tc6v6zkzf
title: A Decision Model for Programming LanguageEcosystem Selection: Seven Industry Case Studies

description: Software development is a continuous decision-making process that mainly relies on the software engineer's experience and intuition. One of the essential decisions in the early stages of the process is selecting the best fitting programming language based on the project requirements. A significant number of criteria, such as developer availability and consistent documentation, besides potential programming languages in the market, lead to a challenging decision-making process. A decision model is required to analyze the selection problem using systematic identification and evaluation of potential alternatives for a development project. Method: Recently, we introduced a framework to build decision models for technology selection problems in software production. Furthermore, we designed and implemented a decision support system that uses such decision models to support software engineers with their decision-making problems. This study presents a decision model based on the framework for the programming language selection problem. Results: The decision model has been evaluated through seven real-world case studies at seven software development companies. The case study participants declared that the approach provides significantly more insight into the programming language selection process and decreases the decision-making process's time and cost. Conclusion: With the knowledge available through the decision model, software engineers can more rapidly evaluate programming languages. Having this knowledge readily available supports software engineers in making more efficient and effective decisions that meet their requirements and priorities.
DOI: 10.17632/m3xc4z9ctv
title: Labour Force Survey Decent Work Index Data (2018)

description: This dataset is a Labour Force Survey dataset which has been modified to build a Decent Work Index. It uses the 2018 Labour Market Dynamics Survey published by Statistics South Africa.
DOI: 10.25421/yorksj.29108471.v1
title: Data Set_Smartphone Screen Damage Detection.zip

description: This project aims to automate the detection of cracks in smartphone screens to ensure fairness and standardization in the used phone market. It employs a Convolutional Neural Network (CNN) model trained on a custom image dataset to classify screens as cracked or non-cracked, achieving an accuracy of 92%. Unlike traditional manual inspection methods, the CNN-based approach offers consistent, objective, and scalable evaluation. Challenges include detecting rare crack patterns, handling variable lighting conditions, and mitigating overfitting due to limited data. Future improvements will explore advanced architectures and data augmentation techniques to enhance model robustness and generalizability.
DOI: 10.6084/m9.figshare.21299253.v4
title: NWM GWR code and data

description: Dataset and code used in a journal paper entitled <em><strong>Geographically weighted regression based on a network weight matrix: a case study using urbanization driving force data in China</strong></em><em> </em>, published in the <strong>International Journal of Geographical Information Science</strong>. <br> <strong>Abstract: </strong>Geographically weighted regression (GWR) is a classical modeling method for dealing with spatial non-stationarity. It incorporates the distance decay effect in space to fit local regression models, where distance is defined as Euclidean distance. Although this definition has been expanded, it remains focused on physical distance. However, in the era of globalization and informatization, where the phenomenon of remotely close association is common, physical distance may not reflect real spatial proximity, and GWR based on physical distance has clear limitations. This paper proposes a geographically weighted regression based on a network weight matrix (NWM GWR) model. This does not rely on geographical location modeling; instead, it uses network distance to measure the proximity between two regions and weights observations by improving the kernel function to achieve distance attenuation. We adopt the population mobility network to establish a network weight matrix, modeling China’s urbanization and its multidimensional driving factors using network autocorrelation and NWM GWR methods. Results show that the NWM GWR model has more accurate fit and better stability than ordinary least squares and GWR models, and better reveals relationships between variables, which makes it suitable for modeling economic and social systems more broadly.
DOI: 10.6084/m9.figshare.22226998.v1
title: virome.gbK

description: The retrieved viral sequences in “gbk” format .
DOI: 10.6084/m9.figshare.3561021.v1
title: Appendix D. Rarefaction analysis of species interactions.

description: Rarefaction analysis of species interactions.
DOI: 10.17632/m94zs9mssz
title: A study on Africa’s FinTech Landscape and National Competitiveness dynamics.

description: The data set accompanies a study on National Competitiveness and FinTech development in Africa. The variables included in the data set comprised of the 12 pillars of National Competitiveness and transaction volume of FinTech business models in Africa. The National Competitiveness indicators are ranked on a scale of 0-100 and the values for FinTech models are ​given in million dollars.
DOI: 10.17632/tw6ghtv624
title: New_generation_thermal_traffic_sensor

description: Official dataset related to the paper: New Generation Thermal Traffic Sensor: A Novel Dataset and Monocular 3D Thermal Vision Framework.

The paper is available at https://doi.org/10.1016/j.knosys.2025.113334. Please cite the paper when using the dataset.
DOI: 10.17632/v9xs54hg54
title: Efficiency of Sodium Alginate Membranes in Fuel Cells

description: Chemical energy can be transformed into electrical energy using fuel cells. Because of their great efficiency and minimal environmental impact, these devices have recently acquired favor as an alternative to fossil fuel energy derived from petroleum. Although the fuel cell is made up of many different parts, the efficiency of polymeric exchange membranes and how they impact fuel cell performance were the main focus of this study. To compare its power output to a synthetic Nafion membrane, an alginate composite membrane was made using additives and put inside a fuel cell. The process used to make the biopolymer membranes was modified from another study in which the membrane was dried, ionic crosslinked, and cast. The membrane was then placed in a salt bridge located in a double chamber, h-cell filled with 125ml of ethanol in the anode and 125ml of water in the cathode compartment. The voltages were measured using a HIOKI data logger over a range of resistances between 50 – 1000 Ω, where the power outputs were calculated. From the experiment conducted, the biopolymer film would be the preferred membrane for operation. Additionally, a theoretical investigation on the conduction of protons and methanol crossover on Sodium alginate/Sulfonated graphene oxide (SA/SGO) and Nafion membranes were conducted. From the results, the SA/SGO membrane was also the preferred membrane due to its higher selectivity, thereby coinciding with the experimental results. To improve the performance of the biopolymer membrane, additives such as sulphonated graphene oxide could have been used to increase ionic transfer in the membrane, however due to limited resources, this could not have been done. Additionally, the membrane could have undergone additional testing for tensile strength, and chemical and thermal stability to ensure that the film was ready for operation. From the research conducted, biopolymer membranes have great potential to replace synthetic membranes due to its high efficiency, environmentally friendly nature and is more cost effective. This topic can be further researched into using different biopolymers and additives to create an optimum membrane, which would eventually eliminate the need for using fossil fuels and create a sustainable future.
DOI: 10.6084/m9.figshare.24081930.v4
title: Fire effects on soil CH<sub>4</sub> and N<sub>2</sub>O fluxes across terrestrial ecosystems

description: To explore the effect of fires on soil CH<sub>4</sub> and N<sub>2</sub>O fluxes in global terrestrial ecosystems, we systematically collected published papers indexed by China National Knowledge Infrastructure (CNKI), ISI Web of Science, and Google Scholar Database as of July 31, 2023. From these screened papers, a global dataset was compiled for conducting a meta-analysis, consisting of 3,615 pairs of field observation data from 116 published literature covering a wide range of terrestrial ecosystems.
DOI: 10.6084/m9.figshare.28075376.v1
title: source data

description: Separation of multi-component mixtures is an extremely difficult task. Pore integration strategy offers an approach for assembling ordered pores with specific functions on demand to achieve the one-step separation of multi-component complex mixtures.
DOI: 10.6084/m9.figshare.3552846.v1
title: Full Archive

description: Full Archive
DOI: 10.6084/m9.figshare.6203900.v1
title: Figshare_PD study_Fig and Table.docx

description: Fig 1. Schematic illustration of the two-step test. Participants estimated the two-step distance forward with maximum effort and indicated the distance using a laser pointer. After the estimation, the actual distance was measured. <br>Fig 2. Scattergrams of the estimation error distance, and H&Y stage (upper left), and UPDRS part II (upper right) and III (lower)<br><br>Table 1: Demographic clinical details and results of two-step test of control groups (non-overestimation and overestimation) and patients with PD groups (non-overestimation and overestimation) (mean ± <i>SD</i>) <br><br>
DOI: 10.17632/7pwmwrff22
title: Herbal Mixture Supplementation Enhances Survival in Broiler Chickens Challenged with Newcastle Disease Virus and Infectious Bronchitis Virus

description: The effectiveness of vaccines has decreased due to more virulent antigens. Therefore, this study aimed to evaluate the effects of a herbal mixture (HM) on performance, carcass composition, liver enzymes, intestinal morphology, and mortality rates in broiler chickens infected with Newcastle Disease Virus (NDV) and Infectious Bronchitis Virus (IBV) during the starter and finisher phases. 300 chicks based on a completely random design were divided into five treatment groups with six replicates of 10 chicks each. T1 received a basal diet, while T2, T3, T4, and T5 were supplemented with 1.5%, 3%, 4.5%, and 6% HM, respectively. On the 7th and 25th day of age, all chicks were infected with NDV and IBV, respectively. Supplementing the diet with HM resulted in improved (P&lt;0.05) average weight gain (AWG) and feed intake (AFI) in the starter phase without affecting (P&gt;0.05) AWG, AFI, or feed conversion ratio (FCR) during the grower phase, as well as FCR during the starter phase. Adding HM increased AWG and reduced mortality rates in NDV-infected chicks from 1 to 25 days old. However, in the finisher phase, HM did not significantly affect AWG, AFI, or FCR in IBV-infected chickens. Still, it significantly reduced the mortality rate compared to the control group. Over the total rearing period, supplementing HM at a 4.5% level significantly decreased mortality rates among chickens infected with NDV and IBV. Adding HM to the diets, there were no significant changes in liver enzymes, serum total protein, uric acid levels, or antibody titers for NDV and IBV. In conclusion, incorporating 4.5% HM into the diet of broiler chickens does not negatively impact their performance while positively affecting the immune system, enhancing the chickens' tolerance to NDV and IBV and reducing mortality rates.
DOI: 10.17632/wfshsxzggg
title: Data of Chinese listed firms 2008 - 2018

description: Our study uses a database from the annual financial statements of listed firms on the Shanghai Stock Exchange to investigate the yearly volatility impact of the Shanghai Composite Index (SSEC)’s returns on corporate financing decisions, excluding financial firms covering 2008-2018. The daily stock price of the SSEC Index is downloaded from Thomson Reuters Eikon from January 2008 to December 2018. The research period selection can cover three terrible shocks in China stock market. The accounting reports are extracted from the Taiwan Economic Journal (TEJ) database.
DOI: 10.17632/x6vk93ps9v
title: Correlations of economic fluctuations of the Polish-German border regions

description: This Dataset presents the correlations of economic fluctuations of the Polish-German border regions
DOI: 10.6084/m9.figshare.28592531.v1
title: Data.zip

description: This zip file contains the xls files used to generate Figs 1 and 2.
DOI: 10.6084/m9.figshare.28594964.v1
title: Source Data.xlsx

description: This dataset includes the replicate data for absorbance difference spectroscopy measurements, fluorescence spectroscopy measurements, membrane inlet mass spectrometry, Western blots, and bimolecular fluorescence complementation tests and accompanying image analysis, as well as raw confocal microscopy images. Summary* Flavodiiron proteins (FDPs) catalyse light-dependent reduction of oxygen to water in photosynthetic organisms, creating an electron sink on the acceptor side of Photosystem I that protects the photosynthetic apparatus. However, ambiguity about the electron donor(s) remains, and the molecular mechanisms regulating FDP activity have remained elusive.* We employed spectroscopic, and gas flux analysis of photosynthetic electron transport, bimolecular fluorescence complementation assays for in vivo protein–protein interactions in the model cyanobacterium Synechocystis sp. PCC 6803, as well as in silico surface charge modelling.* We demonstrated that Ferredoxin-1 interacts with Flv1, Flv2, and Flv3, and is the main electron donor to FDP heterooligomers, which are responsible for the photoreduction of oxygen. Moreover, we revealed that FDP heterooligomers disassociate from the thylakoid membrane upon alkalisation of the cytosol, providing the first in vivo evidence of a self-regulatory feedback mechanism allowing dynamic control of FDP activity and maintenance of photosynthetic redox balance in fluctuating environments.* Our findings have direct implications for rationally directing electron flux toward desired reactions in biotechnological applications.
DOI: 10.6084/m9.figshare.5129170.v1
title: Supplementary Material for: The <b><i>Escherichia coli</i></b> yjfP Gene Encodes a Carboxylesterase Involved in Sugar Utilization during Diauxie

description: <b><i>Background:</i></b> Acetylation and efflux of carbohydrates during cellular metabolism is a well-described phenomenon associated with a detoxification process to prevent metabolic congestion. It is still unclear why cells discard important metabolizable energy sources in the form of acetylated compounds. <b><i>Methods:</i></b> We describe the purification and characterization of an approximately 28-kDa intracellular carboxylesterase (YjfP) and the analysis of gene and protein expression by qRT-PCR and Western blot. <b><i>Results:</i></b> qRT-PCR and Western blot, respectively, showed that y<i>jfP</i> is upregulated during the diauxic lag in cells growing with a mixture of glucose and lactose. The β-galactosidase activity in the Δ<i>yjfP</i> strain was both delayed and half the magnitude of that of the wild-type strain. YjfP-hyperproducing strains displayed a long lag phase when cultured with glucose and then challenged to grow with lactose or galactose as the sole carbon source. <b><i>Conclusion:</i></b> Our results suggest that YjfP controls the intracellular concentration of acetyl sugars by redirecting them to the main metabolic circuits. Instead of detoxification, we propose that sugar acetylation is utilized by the cell for protection and to prevent the metabolism of a necessary minimal intracellular sugar pool. Those sugars can eventually be exported as a side effect of these mechanisms.
DOI: 10.4121/uuid:d2ba436f-78c0-4105-8a1f-5422fcb37851
title: Data of embedded humidity sensors, sample weights, and measured pore volume distribution for eight screed types

description: Four cement-based and four calcium-sulphate-based screed types are investigated. The samples have a diameter of 300 mm and a height of 35 or 70 mm. Up to ten humidity sensors are embedded directly during the concreting of the screed samples. Thus, the humidity over the sample height is monitored during hardening, hydration, evaporation, and oven drying. Furthermore, the screed samples are weighted during every measurement to determine the total mass and the corresponding moisture loss. To define the pore system precisely, mercury intrusion porosimetry as well as gas adsorption is performed. According to the data, the entire pore volume distribution is known. The measured pore diameters range from 0.8 nm to 100 µm and the total porosity of the examined screeds ranges between 11 % and 22 %.
DOI: 10.6084/m9.figshare.12126342.v2
title: Supplementary Data 1 - Model Constants and Literature Lp.xlsx

description: Supplementary Data 1 for "Microvascular fluid flow in <i>ex vivo</i> and engineered lungs"
DOI: 10.6084/m9.figshare.29083499.v1
title: Gridded data of building material stocks of timber

description: 5,538,063 records are weight in urban building MS of timber in two urban agglomerations from 2000 to 2020 at 500×500m grid scale.
DOI: 10.17632/cftms47tmg
title: Data for: Contrasting Hurricane Ike Washover Sedimentation and Hurricane Harvey Flood Sedimentation in a Southeastern Texas Coastal Marsh.

description: Photographs of cores and monoliths collected for this study. Excel files for LOI and sand content analysis.
DOI: 10.17632/j8bvnvcgzg
title: Supplementary material of "Different Effects of Carbon Pricing and Border Adjustment in Germany and Spain" by N. Hinterlang (2024)

description: This directory contains supplementary material of the paper "Different Effects of Carbon Pricing and Border Adjustment in Germany and Spain" by Natascha Hinterlang (Economic Modelling, forthcoming).

Supplementary material encompasses:


i) Appendix providing more details on the calibration (Appendix A), additional simulation results and robustness checks (Appendix B).

ii) Replication files for simulations of the multi-sectoral E-DSGE model EMuSe, including directories for all scenarios of the paper.
DOI: 10.17632/8yv4k58xhj
title: Prefrontal-amygdalar oscillations related to social behavior in mice

description: This is the datasets for a paper "Prefrontal-amygdalar oscillations related to social behavior in mice". All data are stored in Matlab, including LFP signals and animal's positions.
DOI: 10.6084/m9.figshare.24297424.v3
title: Data & Scripts for Fig. 3 and Fig. S5, S6, S7

description: Leaf microbiome analysis of lab-grown plants
DOI: 10.17632/7vb4djkbrc
title: Dataset of Banana Prata Catarina Images Labeled in Eight Ripeness Stages

description: Our general objective is that the dataset proposed here be useful for the development of Machine Learning and Computer Vision algorithms whose central object of analysis is the banana. The images contained here are of bananas from the Prata Catarina cultivar, with labeling of eight classes that represent levels of control of the fruit. For the labeling process, they were labeled via Bounding box, demarcating the banana in the image and assigning it a degree of maturation following the norms proposed in CEAGESP (2006). All 1000 images of bananas were taken using only smartphones. These images were collected on February 4th, 13th and 17th, 2023, with variations of the background on a smooth surface (white marble), on clayey soil or on foliage. Lastly, all data was uploaded to the roboflow platform and labeled using the bounding boxes method.
DOI: 10.17632/22hdds8hr9
title: How do food enrichment and the presence of visitors affect the behaviour of two species of freshwater fish in a public aquarium?

description: Data used for the evaluation of the effects of environmental enrichment on the behaviours of curimbas and pacus.