Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
2,227
datasets available to search
ShareScore release 0.9.0
Dataset results
2,227 results for “markets”
Global Intravascular Ultrasound Devices Market 2024 to 2033
<p><a href="https://www.custommarketinsights.com/report/intravascular-ultrasound-devices-market/" target="_blank" rel="noopener">Intravascular Ultrasound Devices Market </a>Size, Trends and Insights By Product Type (IVUS Consoles, IVUS Catheters), By End User (Hospitals, Specialty Clinics, Ambulatory Surgical Centers, Diagnostic Laboratories, Research Institutes), By Application (Coronary Diagnosis, Coronary Intervention, Coronary Research, Non-coronary/Peripheral Applications), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033</p> <p>DOWNLOAD FREE SAMPLE Now at <a href="https://www.custommarketinsights.com/request-for-free-sample/?reportid=58362" target="_blank" rel="noopener">https://www.custommarketinsights.com/request-for-free-sample/?reportid=58362</a></p>
DYNAMIC PRICING IN FINANCIAL TECHNOLOGY: EVALUATING MACHINE LEARNING SOLUTIONS FOR MARKET ADAPTABILITY
<p>The rapid advancement of technology has transformed the financial services sector, leading to the rise of fintech companies that leverage cutting-edge tools such as artificial intelligence (AI) and machine learning (ML) to offer innovative solutions. One area where fintech is particularly impactful is dynamic pricing, which involves adjusting prices in real-time based on market conditions, user behavior, and external factors. The ability to optimize pricing in response to fluctuating conditions is critical for maximizing profitability, improving customer satisfaction, and maintaining competitiveness. In this context, machine learning algorithms provide a powerful framework for making data-driven pricing decisions by learning from historical data and predicting future trends.</p>
Amplifying Customer's Motivation Through Marketing Activities to Increase Purchase Intention in Social Commerce
<p><span>As information technology keeps evolving, social commerce has become a common alternative for Indonesians to purchase products online. Social commerce successfully facilitates social interactions between customers and business actors on one platform, combining the idea of social network sites and electronic commerce (e-commerce). The problem is that social commerce provides users with an effortless way to compare one product to another, leading to another challenge for businesses to compete with competitors. Hence, this research aims to identify how to amplify customers’ motivation when they see any product marketing activities in social commerce and how that motivation can increase their purchase intention towards the product. The method used in this study is Structural Equation Modeling (SEM) PLS with the purposive sampling method for primary data collection. The data were taken from social commerce users who have seen any product marketing labeled content. The primary data of 169<em> </em>respondents were collected from April to September 2024 from the people who live in Indonesia. The result shows that all of the seven hypotheses are accepted. </span></p>
Dataset Leveraging Social Media Marketing to Enhance Purchase Intention: The Role of Parasocial Interaction and Brand Equity in Green Fashion
<p>The following dataset is a dataset from a study that investigated social media marketing activities that affect parasocial interaction and brand equity. In addition, this study also aims to investigate the relationship of parasocial interaction and brand equity to purchase intention.</p>
GO-TO-MARKET STRATEGIES FOR CONSUMER TECHNOLOGICAL PRODUCTS WITH SUBSCRIPTION MONETIZATION MODEL
<p>This study examines go-to-market (GTM) strategies for consumer technological products utilizing subscription monetization models. As the digital landscape evolves, businesses are increasingly adopting subscription-based approaches to generate recurring revenue and establish long-term customer relationships. Our research investigates the key components of successful GTM strategies in this context, focusing on market segmentation, value proposition development, pricing strategies, distribution channel selection, and customer acquisition and retention tactics. Through a comprehensive analysis of scientific papers, industry reports, and case studies, we identify best practices and trends in subscription-based GTM strategies for consumer tech products. Our findings highlight the importance of market segmentation, value proposition development, pricing strategies, marketing and communication, customer acquisition and retention practices in optimizing customer lifetime value. This study contributes to the growing body of literature on subscription business models and provides practical insights for managers and entrepreneurs in the consumer tech industry.</p>
Data from: Market forces influence helping behaviour in cooperatively breeding paper wasps
Biological market theory is potentially useful for understanding helping behaviour in animal societies. It predicts that competition for trading partners will affect the value of commodities exchanged. It has gained empirical support in cooperative breeders, where subordinates help dominant breeders in exchange for group membership, but so far without considering one crucial aspect: outside options. We find support for the existence of a biological market in paper wasps, Polistes dominula. We first show that females have a choice of cooperative partners. Second, by manipulating entire subpopulations in the field, we increased the supply of outside options for subordinates, freeing up suitable nesting spots and providing additional nesting partners. We predicted that by intensifying competition for help, our manipulation would force dominants to accept a lower price for group membership. As expected, subordinates reduced their foraging effort following our treatments. We conclude that to accurately predict the amount of help provided, social units cannot be viewed in isolation as has traditionally been done: the surrounding market must also be considered.
Replication package for: "Highways, Market Access, and Spatial Sorting".
<ul> <li>The replication package contains data that we are making publicly available.</li> <li>We use two main datasets: census data (Swiss Federal Statistical Office) and taxpayer data (Swiss Federal Tax Administration).</li> <li>Census data are aggregated at the municipality level.</li> <li>Taxpayer data are proprietary. We aggregated these data into four income bins for each municipality. There are fewer than 5 observations in one of these income bins for a bit less than a third of tax data units (municipality-year) and the Swiss Federal Tax Administration asked us to code these bins as “missing” in the dataset we are making publicly available. Hence, the full dataset we are using and the dataset we are making publicly available differ slightly.</li> <li>The ReadMe file includes an Appendix with all Tables and Figures of the paper produced with the restricted, publicly available data.</li> </ul>
Causal coupling between European and UK markets triggered by announcements of monetary policy decisions
<p>We investigate high-frequency reactions in the Eurozone stock market and the UK stock market during the time period surrounding the European Central Bank (ECB) and the Bank of England (BoE)'s interest rate decisions assessing how these two markets react and co-move influencing each other.</p> <p>The effects are quantified by measuring linear and non-linear transfer entropy combined with a Bivariate Empirical Mode Decomposition (BEMD) from a dataset of 1-minute prices for the Euro Stoxx 50 and the FTSE 100 stock indices.</p> <p>We uncover that central banks' interest rate decisions induce an upsurge in intraday volatility that is more pronounced on ECB announcement days and there is a significant information flow between the markets with prevalent direction going from the market where the announcement is made towards the other.</p>
Dataset for "Energy markets and allocative efficiency in an energy transition context" paper
<p>This upload contains the dataset used on the paper "Energy markets and allocative efficiency in an energy transition context" analysis.</p>
Electronic Companion -- Optimal Management of Distribution-Connected Assets Operating under Carbon and Energy Day-Ahead Markets
<p>This release is associated with a paper entitled "Optimal Management of Distribution-Connected Assets Operating under Carbon and Energy Day-Ahead Markets".</p> <p>In this document, we provide information regarding the transmission and distribution power systems adopted to present the results shown in the paper. These systems are modified versions of the IEEE <a href="https://icseg.iti.illinois.edu/ieee-14-bus-system/">14-bus</a> and the IEEE <a href="https://cmte.ieee.org/pes-testfeeders/resources/">34-bus</a>, respectively. Five dispatchable generators were added to the distribution system and 13 load shapes were considered. The data regarding the costs and physical parameters of each of the power system's elements are provided in this document.</p>
"Replication package for: Risk Classification in Insurance Markets with Risk and Preference Heterogeneity"
<p>This package contains the replication code for the simulations presented in Farinha Luz, Gottardi and Moreira (forthcoming). "Risk classification in insurance markets with risk and preference heterogeneity." Review of Economic Studies.</p>
Supplementary files to the paper "Optimal Offering of Energy Storage in Electricity Markets with Loop Blocks"
<p>These files include the retrieved optimal offering decisions, corresponding to the case studies of Section IV.C of the paper Optimal Offering of Energy Storage in Electricity Markets with Loop Blocks. A README.txt file is included, describing the format of all other files.</p>
Dataset for Energy Resource Management Considering Participation in the Wholesale Day-Ahead Market
<p>This release is associated with a paper entitled "A Novel Framework for Day-Ahead Market Clearing Process Featuring a Hybrid Pricing Mechanism".</p> <p>In this document, we provide the mathematical manipulation employed to linearize an MPEC problem that models the market-clearing process considering the participation of generation companies and distribution operators in the day-ahead market. Additionally, we provide a numerical example of the pricing mechanism designed for solving the optimization problem. </p> <p>Finally, we include information regarding the transmission and distribution power systems adopted to present the results shown in the paper. These systems are modified versions of the IEEE <a href="https://icseg.iti.illinois.edu/ieee-14-bus-system/">14-bus</a> and the IEEE <a href="https://cmte.ieee.org/pes-testfeeders/resources/">34-bus</a>, respectively. Three renewable non-dispatchable generators were added to the original 14-bus system, while 5 dispatchable generators and 3 non-dispatchable generators were added to the distribution system. 13 load shapes were considered as well as 5 scenarios for each uncertain variable (wind velocity, solar irradiance, distribution load oscillation, and transmission load oscillation). The data regarding the costs and physical parameters of each of the power system's elements are provided in this document.</p>
WeatherPon: A Weather and Machine Learning-based Coupon Recommendation Mechanism in Digital Marketing
<p>These are the datasets that we used.</p>
Supplementary material 2 from: D'Cruze N, Assou D, Coulthard E, Norrey J, Megson D, Macdonald DW, Harrington LA, Ronfot D, Segniagbeto GH, Auliya M (2020) Snake oil and pangolin scales: insights into wild animal use at "Marché des Fétiches" traditional medicine market, Togo. Nature Conservation 39: 45-71. https://doi.org/10.3897/natureconservation.39.47879
Table S1. List of inferred species and their respective scientific names (assigned to each common name provided by questionnaire respondents) based on the documented presence of wild populations in Togo
Replication package for: Credit Access, Selection, and Incentives in a Market for Asset Collateralized Loans: Evidence from Kenya
<p>Paper: Credit Access, Selection, and Incentives in a Market for Asset Collateralized Loans: Evidence from Kenya, by William Jack, Michael Kremer, Joost de Laat and Tavneet Suri, Forthcoming, the Review of Economic Studies.</p> <p>The replication package includes the data and do files for the experiment reported on in the paper. </p>
Managing the volatility of the results of the comparative approach in evaluating the market value of Russian companies
<p>Dataset for Master's dissertation 'Managing the volatility of the results of the comparative approach in evaluating the market value of Russian companies'.</p>
Bitcoin volatility in bull vs. bear market - insights from analyzing on-chain metrics and Twitter posts
<p>On-Chain Metrics.xlsx contains a description of the on-chain metrics.<br> Merged_df.xlsx is the main data source containing the BTC prices, the on-chain metrics and the sentiment scores.<br> btc_twets_new.csv and training.1600000.processed.noemoticon.csv are the data sources for calculating the sentiment scores.<br> Sentiment_Analysis.py contains the code to calculate the sentiment scores. The scores are in Merged_df.xlsx<br> BTC_Prediction.py contains the implementation of the main approach described in the paper, especially in Fig. 11.</p>
Dataset for Energy Resource Management Considering Participation in the Wholesale Day-Ahead Market
<p>This release is associated with a paper entitled "A Novel Bilevel Programming Formulation for Optimizing the Interaction of Distribution System Operators and GENCOs in Day-Ahead Markets".</p> <p>In this document, we provide the mathematical manipulation employed to linearize an MPEC problem that models the market-clearing process considering the participation of generation companies and distribution operators in the day-ahead market. Additionally, we provide a numerical example of the pricing mechanism designed for solving the optimization problem. </p> <p>Finally, we include information regarding the transmission and distribution power systems adopted to present the results shown in the paper. These systems are modified versions of the IEEE <a href="https://icseg.iti.illinois.edu/ieee-14-bus-system/">14-bus</a> and the IEEE <a href="https://cmte.ieee.org/pes-testfeeders/resources/">34-bus</a>, respectively. Three renewable non-dispatchable generators were added to the original 14-bus system, while 5 dispatchable generators and 3 non-dispatchable generators were added to the distribution system. 13 load shapes were considered as well as 5 scenarios for each uncertain variable (wind velocity, solar irradiance, distribution load oscillation, and transmission load oscillation). The data regarding the costs and physical parameters of each of the power system's elements are provided in this document.</p>
The determinants of short-term dynamics of corporate shares market value during periods of decline and return to the original values of shares market
<p>The determinants of short-term dynamics of corporate shares market value during periods of decline and return to the original values of shares market</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.