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.
87
datasets available to search
ShareScore release 0.9.0
Dataset results
87 results for “finance”
Financed projects from Government Delegation grants for the National Plan on Drugs (Spain), 2000-2016
<p>Dataset in a xlsx file used by Aleixandre-Benavent & collaborators in the research “Financed researchs from Government Delegation grants for the National Plan on Drugs: research assessment and scientific impact”.</p>
Financed researchs from Government Delegation grants for the National Plan on Drugs (Spain), 2001-2019
<p>Dataset in a xlsx file used by Aleixandre-Benavent & collaborators in the research “Financed researchs from Government Delegation grants for the National Plan on Drugs: research assessment and scientific impact”.</p>
POMABuster: Detecting Price Oracle Manipulation Attacks in Decentralized Finance
Open the record for dataset details and reuse information.
Access to digital finance: Equity crowdfunding across countries and platforms
Open the record for dataset details and reuse information.
Micro Finance and Women Empowerment in Rural Assam
<p>Microfinance is considered to be a key strategy for addressing issues of poverty alleviation <br>and women empowerment. The empowerment of women through microfinance with SHGs<br>would give benefits not only to the individual women but also for the family and community<br>as a whole through collective action for development. Microfinance has been recognized <br>world over as one of the new development paradigms for alleviating poverty through social <br>and economic empowerment of the poor particularly women. Microfinance encouraged many <br>researchers all over the world to rethink about the concept of financial inclusion of the<br>marginalized people, especially women, who were thought to be unthinkable. But in present <br>days the economists are expressing concerns about the market oriented nature of the micro <br>finance institutions in India. Microfinance programs have significant potential for<br>contributing to women's economic, social and political empowerment. Access to savings and <br>credit can initiate or strengthen a series of interlinked and mutually reinforcing 'virtuous <br>spirals' of empowerment. Microfinance programs have significant potential for contributing to <br>women's economic, social and political empowerment. The paper focuses on the conceptual <br>aspect of microfinance and Self Help Groups (SHGs) and analyze the of role SHGs towards <br>women empowerment in the rural Economy of Assam. The North-East Region remains a <br>classic case of financial exclusion. Micro credit facility has become very much helpful for the<br>women workers mainly in the unorganized sector in the North East India. . A number of <br>agencies- Government as well as Non- Government Organizations-(NGOs) are, today<br>involved in micro-finance development initiatives. The microfinance-SHGs have a great<br>bearing on women empowerment. It has becomea ladder for the poor, particularly the women <br>to bring them up not only economically but also socially, mentally, politically, educationally<br>and attitudinally</p>
Finance in Sustainable Development
<p>During the Sabai Webinar Series 8, hosted by the Shwetaungthagathu Reform Initiative Centre (SRIc), Burmese Young Experts, including Ms Zin Win Htet Aung, Financial Analyst, Ms Khin Thida Htwe, Finance Officer and Mr Tin Shine Aung, Sustainability Specialist, engaged in a discussion on Finance in Sustainable Development.</p> <p>They highlighted how sustainable finance is important for both business and non-profit sectors. </p> <p>This Sabai Webinar Series was conducted under the Edu4SD project.</p>
Enhancing Credit Risk Assessment in Digital Finance through a Hybrid Deep Learning Model Integrated with Blockchain on the Edge of Things F
<p><span>This work proposes a credit risk assessment model using deep learning models such as self-attention generative adversarial networks (SA-GAN) and deep multi-layer perceptron (DMLP). Blockchain is used to improve the security aspects of the model by employing Brakerski-Gentry-Vaikuntanathan (BKV) encryption technique. Further, the proposed system is implemented in Edge-of-things network and communications are enabled via LoRaWAN server.</span></p>
Open Data Set for the article Analysing the impact of renewables on Iberian wholesale electricity market prices using machine learning techniques. Green Finance, 2024, 6 (2), 363-382
<p>The datasets available for open access from the article ‘<em>Ballester, C. and Furió, D. (2024). Analysing the impact of renewables on Iberian wholesale electricity market prices using machine learning techniques. Green Finance, 6 (2), 363-382</em>’ are provided here. This study has been supported by funding from the Spanish Ministry of Science, Innovation, and Universities (Project PGC2018-093645-B-100).</p> <p>The data encompasses the price series of the components of the final wholesale prices, other than the day-ahead market price, at an hourly frequency, from January 2017 to December 2021. In particular, the daily average of the hourly price series of the intraday market, which captures the net effect of the six sessions of the intraday market on the final price, the daily average of the hourly net effect on the final price of the procedure to solve technical constraints, the daily average of the hourly costs resulting from ancillary services and deviation management, the daily average of the hourly costs related to capacity payments and the daily average of the hourly costs associated with the interruptibility service. In addition, we compute the daily average of the hourly series of bids (price and amount) individually submitted by market participants to buy or sell energy, distinguishing between matched and non-matched bids, both in the day-ahead market and in the first session of the intraday market. Other energy-related price series included in the analysis are: the Dutch TTF futures price, the API2 index for the coal price, the EUA futures price, the percentage of hours with 100% use from the France-Spain interconnection, the spread from the France-Spain interconnection, the percentage of water reserves in the reservoirs of the Iberian Peninsula. All shareable data are made available in accordance with open data principles to promote transparency and reproducibility in research. However, there is a specific dataset that we are not authorized to share publicly. Specifically, this includes the data corresponding to the Dutch TTF futures price and the API2 index. Consequently, this dataset is published under restricted access.</p>
Public Debt and Government Finance Information - WB, IMF
<p>Data are collected from the World Bank’s World Development Indicators and International Debt Statistics databases and IMF’s Fiscal Monitor and Government Finance Statistics databases</p>
Replication package for "Finance and Green Growth"
<p>De Haas, R. and A. Popov (2022), "Finance and Green Growth", The Economic Journal, forthcoming.</p>
Effect of Project Management on Success of Mergers and Acquisitions of Companies in Rwanda: case of Investment Finance / Commercial Buildings Project of KCB and Rural Sector Support Project of BPR (2020-2023).
<h1><span><br></span></h1> <p><span>Background: the study aimed to assess the impact of project management on the success of mergers and acquisitions in Rwandan companies, focusing on the Investment Finance/Commercial Buildings project of KCB and the Rural Sector Support Project of BPR. The specific objectives included examining the effects of project timeline management, project budget management, project human resource management, project quality planning management, and project risk assessment on the success of mergers and acquisitions. <span> </span>Methods: The research utilized descriptive and correlative research designs, employing a mixed approach of qualitative and quantitative methods. Data were collected from a population of 237 individuals, with a sample size of 149 selected through stratified and purposive sampling. Statistical Package for the Social Sciences (SPSS) version 23.0 was used for data processing and analysis, employing descriptive statistics, correlation, and multiple linear regression analysis. Findings: The correlation analysis revealed significant and positive relationships between the independent variables (X1, X2, X3, X4, and X5) and the dependent variable </span><span>(Y - success of mergers and acquisitions). Effective timeline management (X1) demonstrated a significant positive correlation (Pearson Correlation = 0.476), emphasizing its importance for project success. Project budget management (X2) also exhibited a significant positive correlation (Pearson Correlation = 0.583), highlighting the value of budget management. Efficient human resource management (X3) showed a significant positive correlation (Pearson Correlation = 0.522), underscoring the role of human resources in project success. Effective quality planning management (X4) displayed a significant positive correlation (Pearson Correlation = 0.621), emphasizing the importance of quality planning. Thorough project risk assessment (X5) had a significant positive correlation (Pearson Correlation = 0.671), stressing the role of risk assessment in achieving success. Conclusion: all independent variables (X1, X2, X3, X4, and X5) were found to be positively and significantly correlated with the success of merger and acquisition projects. These results underscore the crucial role of project management factors, including timeline management, budget management, human resource management, quality planning management, and risk assessment, in determining the success of mergers and acquisitions in Rwandan companies. Recommendations: Based on the findings, it is recommended that companies engaged in mergers and acquisitions in Rwanda prioritize effective project management strategies, focusing on timeline management, budget management, human resource management, quality planning management, and risk assessment. Implementing robust project management practices can enhance the likelihood of successful outcomes in the context of mergers and acquisitions. Additionally, organizations are encouraged to invest in training and development programs to build the necessary skills and competencies in project management for their personnel involved in such strategic initiatives.</span></p>
HYDROUSA_Financing instruments for Circular water solutions
<p>This dataset is the main results of the investigation conducted within HYDROUSA project regarding the financing instruments for circular solutions similar to the ones implemented within HYDROUSA. These results are detaily described within Deliverable “Funding Opportunities Report” (deliverable D8.3) that addresses numerous accessible opportunities to fund and finance HYDROUSA nature-based water solutions – taking the legislative, governance, regulatory, regional, and institutional complexity into consideration. Deliverable D8.3 provides an exhaustive overview in respect to funding and financing opportunities – to support decisions for the best and safe transferability, replicability, and widespread application of HYDROUSA solutions. In this report, financing and funding programs have been organized in tables ( and the uploaded excel file) to allow a quicker and broader use of the report’s findings. </p> <p> </p>
Understanding the impact of sustainable finance on bank profitability
<p><span>This research examines the impact of green credit, competition, and risk taking on bank profitability as a form of sustainable finance practices that can increase economic growth. This research applies balanced panel data <span>regression analysis</span> using commercial banks data from 2005 to 2021<span>.</span><span> </span><span>The results show that increasing green credit allocation </span>and the level of competition will increase bank profitability in Indonesia. The<span> </span>increased<span> </span>bank<span> </span>profitability<span> </span>resulting<span> </span>from<span> </span>green<span> </span>credit<span> </span>allocation<span> </span>and bank competition can boost economic growth.<span> </span>Furthermore,<span> </span>high<span> </span>risk-taking<span> </span>behavior<span> </span>will<span> </span>reduce<span> </span>bank<span> </span>profitability.<span> </span>This finding<span> </span>is<span> </span>in<span> </span>line with sustainable development goals (SDGs) eight and nine. The results<span> </span>emphasize<span> </span>the<span> </span>importance<span> </span>of<span> </span>strategy<span> </span>in<span> </span>green<span> </span>credit allocation, competitive banking strategies, and risk management in bank’s decision making to realize sustainable finance.</span></p>
Analysis of public views of the motor vehicle financing services information system
<p><span>The survey method was used to collect quantitative data from a sample of the public through a questionnaire. The questionnaire method was used to collect data from a larger sample of the public through a questionnaire. The population of this study comprised the people of Jakarta who use motor vehicles. The population size was estimated to be 20,049,595 people, based on data from the Badan Pusat Statistik and Indonesiadata.id. The minimum sample size for this study was 399 respondents. The respondents were selected from among those who use motor vehicles and those who use motor vehicle financing services.</span></p>
Ciência Vitae controlled vocabulary - Type of financing
Open the record for dataset details and reuse information.
SUSTAINABLE FINANCING AS A FACTOR INFLUENCING ECO-FRIENDLY BUSINESS TRANSFORMATION: EXISTING CHALLENGES AND POTENTIAL SOLUTIONS
<p>This study underscores the slow adoption of eco-friendly practices, particularly in high-emission sectors ("brown" businesses), and emphasizes the role of sustainable financing in implementation of environmentally sustainable business practices, with a particular interest in such types of corporate financing as sustainability-linked loans and a relatively new type of financing provided to companies with core business falling under eligible green criteria (loans for green businesses). The purpose was to identify existing challenges preventing promotion of these two types of sustainable financing and borrowers’ sustainable transformation, and propose potential solutions addressing these challenges. The analysis was performed based on a vast literature review. The study revealed the existence of such challenges as borrowers’ profit-driven motives, lack in regulatory transparency, concerns of financial institutions about their profitability and risk of greenwashing, and insufficient governmental support. To address these challenges, regulatory measures are recommended to incentivize financial institutions to offer reduced interest rates on loans for green business and sustainability-linked loans, with governments compensating such losses through imposing higher taxes on “brown” businesses. The study also proposes a potential action plan on amending the regulatory framework with the main focus on the need to develop respective changes with the involvement of all relevant stakeholders. It also addresses the need of establishing mandatory criteria for recognizing businesses as green to qualify for green business loans, and obligatory KPIs for each industry outlining clear targets for improving a company's sustainability profile to be eligible for sustainability-linked loans. These obligatory criteria and KPIs may be adjusted by financial institutions depending on aspects being material for the borrower. The borrower’s compliance with criteria set for green business loans should be regularly reported and verified by an expert company, similarly to the existing rules for sustainability-linked loans. Further, the study proposes incorporating a regulatory body to oversee compliance of financial institutions with these regulations and introducing penalties for their violations, and performing monitoring and adaptation of a regulatory framework, if necessary. The suggested amendments, being subject to a comprehensive feasibility study, are intended to promote the considered types of sustainable financing and boost transit to eco-friendly business practices.</p>
Liquidity Risk and Long-Term Finance: Evidence from a Natural Experiment
<p>This package contains all the code necessary to reproduce figures and tables in Choudhary and Limodio (forthcoming). "Liquidity Risk and Long-Term Finance: Evidence from a Natural Experiment" in the Review of Economic Studies. Instructions are also given about accessing the data.</p>
Financing Strategies of Influenza Vaccination in China
ClinicalTrials.gov study NCT04038333. IPD Sharing: UNDECIDED. Countries: 1. Publications: 11.
Efficacy of Mental Health Self-Directed Care Financing
ClinicalTrials.gov study NCT03582813. IPD Sharing: NO. Countries: 0. Publications: 5.
Financial Incentives And Nurse Coaching to Enhance Diabetes Outcomes (FINANCE-DM)-1
ClinicalTrials.gov study NCT04203173. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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.