Description This dataset contains the Pagerank values and rankings of Bitcoin addresses and transaction IDs (TXID). It contains a total of 1.608.748.675 addresses or TXIDs. Part 1 is available at https://zenodo.org/record/6052811 File format The dataset is compressed with bzip2. It can be uncompressed using the command bunzip2. The dataset is divided into multiple files since it was large. The files are space-delimited plain text files and have the following five fields: Label: A alphanumeric Bitcoin address (e.g. 1DzTCMmWABEDM1rYFL1RgdLyE59jXMzEHV) or a 64 character hexadecimal transaction ID (e.g. 000000000fdf0c619cd8e0d512c7e2c0da5a5808e60f12f1e0d01522d2986a51) Type: String Label type: It's value is 0 if the label is transaction ID and 1 if the label is a Bitcoin address. Type: Integer Rank: Unique Pagerank rank where the ties (addresses having the same Pagerank value) are resolved by sorting the addresses. Type: Integer Rank with ties: Pagerank rank where the ties (addresses having the same Pagerank value) have the same rank. Type: Integer Pagerank value: Pagerank of the address and transaction IDs calculated using Pagerank algorithm. Type: Floating-point number Sample lines: 000000000fdf0c619cd8e0d512c7e2c0da5a5808e60f12f1e0d01522d2986a51 0 427225664 266976712 0.979246 1DzTCMmWABEDM1rYFL1RgdLyE59jXMzEHV 1 1114666798 508037940 0.877961 Dataset Generation The Bitcoin transactions between blocks 0 (mined on 03.01.2009) and 713.999 (mined on 13.12.2021) are extracted. A transaction graph is constructed, where Bitcoin addresses and transaction IDs are nodes of the graph and the transaction inputs and outputs are edges of the graph. Pagerank is applied on this transaction graph. This computation is performed using the system presented in the paper 'Parallel analysis of Ethereum blockchain transaction data using cluster computing'. Note If you use our dataset in your research, please cite our paper: https://link.springer.com/article/10.1007/s10586-021-03511-0 @article{kilic2022parallel, title={Parallel Analysis of Ethereum Blockchain Transaction Data using Cluster Computing}, journal={Cluster Computing}, author={K{\i}l{\i}{\c{c}}, Baran and {"O}zturan, Can and Sen, Alper}, year={2022}, month={Jan} } Other Datasets If you are interested, please also check out our Pagerank Dataset for Ethereum Blockchain.

Dataset

This dataset was created by Chanankorn Jandaeng

Released under MIT

Contents

Blockchain Transaction and Miner Revenue Historical Data from https://www.blockchain.com

Consist in this data 9 attributes 1. month 2. day 3. year 4. The total number of transactions on the blockchain. 5. Total value in USD of coinbase block rewards and transaction fees paid to miners. 6. The total BTC value of all transaction fees paid to miners. This does not include coinbase block rewards. 7. The total USD value of all transaction fees paid to miners. This does not include coinbase block rewards. 8. Average transaction fees in USD per transaction. 9. Miners revenue divided by the number of transactions (usd)

This dataset dives deep into the intricacies of Dash blocks, presenting a comprehensive and holistic perspective. It meticulously captures unique attributes inherent to block datasets, such as block size, the number of transactions, and miner rewards, offering a window into the complex mechanics of the blockchain ecosystem. Updated in real-time, this dataset stands as a testament to the ever-evolving world of blockchain, making it an invaluable resource for a broad spectrum of users. Whether you're a financial expert analyzing block dynamics, a researcher delving into the subtleties of block configurations, or a blockchain aficionado eager to grasp the foundational elements, this dataset is designed with you in mind.

If you require further insights or have any inquiries regarding this dataset, please don't hesitate to contact us at info@blockchair.com. Our team is dedicated to assisting you and ensuring you maximize the value of the information provided.

Bitcoin is the first implementation of a technology that has become known as a 'public permissionless' blockchain. Such systems allow public read/write access to an append-only blockchain database without the need for any mediating central authority. Instead they guarantee access, security and protocol conformity through an elegant combination of cryptographic assurances and game theoretic economic incentives. Not until the advent of the Bitcoin blockchain has such a trusted, transparent, comprehensive and granular data set of digital economic behaviours been available for public network analysis. In this article, by translating the cumbersome binary data structure of the Bitcoin blockchain into a high fidelity graph model, we demonstrate through various analyses the often overlooked social and econometric benefits of employing such a novel open data architecture. Specifically we show (a) how repeated patterns of transaction behaviours can be revealed to link user activity across t...

This statistic depicts the projected distribution of healthcare blockchain adoption across healthcare applications worldwide, in 2017, 2020, and 2025. It is projected that ** percent of healthcare applications will have adopted blockchain for commercial deployment by 2025.

Intelligent Transport System (ITS) offers inter-vehicle communication, safe driving, road condition updates, and intelligent traffic management. This research intends to propose a novel decentralized “BlockAuth” architecture for vehicles, authentication, and authorization, traveling across the border. It is required because the existing architects rely on a single Trusted Authority (TA) for issuing certifications, which can jeopardize privacy and system integrity. Similarly, the centralized TA, if failed, can cause the whole system to collapse. Furthermore, a unique “Proof of Authenticity and Integrity” process is proposed, redirecting drivers/vehicles to their home country for authentication, ensuring the security of their credentials. Implemented with Hyperledger Fabric, BlockAuth ensures secure vehicle authentication and authorization with minimal computational overhead, under 2%. Furthermore, it opens up global access, enforces the principles of separation of duty and least privilege, and reinforces resilience via decentralization and automation.

The blockchain payment system market is experiencing robust growth, driven by increasing demand for secure, transparent, and efficient transaction processing across various sectors. The market's expansion is fueled by the rising adoption of cryptocurrencies, the increasing need for cross-border payment solutions, and the growing concerns regarding data privacy and security in traditional payment systems. Large enterprises are leading the adoption, leveraging blockchain technology to streamline their payment operations and reduce processing costs. However, SMEs are also showing increasing interest, particularly those involved in international trade, where blockchain's capabilities for faster and cheaper cross-border payments are highly advantageous. The cloud-based segment dominates the market due to its scalability, accessibility, and cost-effectiveness compared to on-premise solutions. While technological advancements and regulatory clarity continue to propel growth, challenges such as scalability issues, regulatory uncertainty in certain regions, and the volatility of cryptocurrencies remain hurdles to overcome. The market is witnessing a surge in strategic partnerships and collaborations between technology providers, financial institutions, and regulatory bodies, signaling a concerted effort to address these challenges and accelerate mainstream adoption. Looking forward, the market is poised for significant expansion, driven by the development of innovative solutions like decentralized finance (DeFi) applications and the integration of blockchain technology into existing payment infrastructures. The Asia-Pacific region is expected to witness substantial growth due to the high adoption rate of mobile payments and the burgeoning fintech sector in countries like China and India. North America and Europe will continue to be significant markets, driven by strong technological infrastructure and regulatory frameworks. The ongoing development of interoperability standards and the increasing focus on security and regulatory compliance will further contribute to market growth. However, the success of the blockchain payment system market will depend on addressing challenges related to scalability, interoperability, regulatory clarity, and educating users about the technology's benefits and security features. The competitive landscape is dynamic, with both established players and emerging startups vying for market share.

Description:

📊 Top 100 Cryptocurrencies (2020–2025) – Daily Price Dataset

Dive into a comprehensive dataset featuring daily OHLC (Open, High, Low, Close) prices for the top 100 cryptocurrencies by market cap over the past 5 years.

📅 Time Range: 2020 to 2025

🪙 Assets: 100 cryptocurrencies (e.g., BTCUSDT, ETHUSDT)

📈 Fields: Date, Open, High, Low, Close, Blockchain Network

🧾 Format: CSV

This dataset is designed to support various projects, including:

📉 Time series forecasting and price prediction

🧠 AI/ML-based trading strategy development

📰 News sentiment correlation and impact analysis

📊 Portfolio optimization based on historical trends

💡 Perfect for data scientists, machine learning enthusiasts, and anyone exploring crypto market behavior!

Comprehensive financial and analytical metrics for Provenance Blockchain, including key performance indicators, market data, and ecosystem analytics.

Based on a real-world taxi-hailing dataset, we process it and obtain a simulated transaction arrival rate dataset (called TARP). Based on TARP, researchers can perform tasks such as time-series prediction of transaction arrival rates, testing and optimization of blockchain performance, etc. If you use this dataset, please be sure to cite the following reference, as TARP is based on this paper.

[1] J. Wang, C. Zhu, C. Miao, R. Zhu, X. Zhang, Y. Tang, H. Huang, and C. Gao, "BPR: Blockchain-Enabled Efficient and Secure Parking Reservation Framework With Block Size Dynamic Adjustment Method," IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 3, pp. 3555-3570, March 2023, doi: 10.1109/TITS.2022.3222960.

The Automotive Blockchain Market Report is Segmented by Application (Manufacturing, Supply Chain and Logistics, and More), End User (OEMs, Tier-1 Suppliers, and More), Blockchain Type (Public Blockchain, Private/Permissioned Blockchain, and More), Mobility Model (Personal Mobility, Shared Mobility, and More), Vehicle Type (Passenger Cars, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

In 2023, Blockchain For Business Apps Market reached a value of USD 5.31 billion, and it is projected to surge to USD 42.72 billion by 2030

Step into the fascinating realm of Zcash outputs with this extraordinary dataset, which offers a comprehensive and nuanced perspective. It sheds light on the intricate mechanisms of the Bitcoin system, presenting itself as a constantly updated and priceless resource in the ever-evolving world of blockchain technology. This compilation serves as a veritable fountain of knowledge, tailored to cater to a diverse range of users. Whether you're a seasoned financial expert meticulously analyzing output dynamics, a dedicated researcher delving into the complexities of output configurations, or a fervent blockchain enthusiast seeking to grasp the pivotal elements of this groundbreaking technology, rest assured that this meticulously curated dataset has been crafted with your needs in mind.

For any further details or inquiries about this output dataset, please connect with us at info@blockchair.com. Our dedicated team is always available to guide and ensure you harness the full potential of the information at hand.

Dataset for publication (A Review on Blockchain Technology and Blockchain Projects Fostering Open Science) in "Frontiers in Blockchain" Journal: https://www.frontiersin.org/articles/10.3389/fbloc.2019.00016/.

Bitcoin is a peer-to-peer electronic payment system that popularized rapidly in recent years. Usually, we need to query the complete history of bitcoin blockchain data to acquire variables of economic meaning. This becomes increasingly difficult now with over 1.6 billion historical transactions on the Bitcoin blockchain. It is thus important to query Bitcoin transaction data in a way that is more efficient and provides economic insights. We apply cohort analysis that interprets bitcoin blockchain data using methods developed for population data in social science. Specifically, we query and process the Bitcoin transaction input and output data within each daily cohort. With this, we then create datasets and visualizations for some key indicators of bitcoin transactions, including the daily lifespan distributions of accumulated spent transaction output (STXO) and the daily age distributions of accumulated unspent transaction output (UTXO). We provide a computationally feasible approach to characterize bitcoin transactions, which paves the way for future studies of economic behaviors in the emerging market of Bitcoin.

By 2035, the Blockchain in Healthcare Market is estimated to expand to USD 1,590.8 Billion, showcasing a robust CAGR of 64.2% between 2025 and 2035, starting from a valuation of USD 6.8 Billion in 2024.

Blockchain technology has evolved far beyond cryptocurrency, shaping the backbone of digital trust and decentralized systems across industries. From supply chain traceability in logistics to secure identity verification in finance and healthcare, blockchain's utility is reshaping how businesses handle data, automation, and compliance. In this article, we’ll explore the most...

This statistic shows the level of awareness about blockchain technologies in Italy in 2019. About a third of Italians associated blockchain with bitcoin and other cryptocurrencies, while one in ten Italians thought about cyber security and cryptography. Only seven percent of respondents associated blockchain with distributed ledgers.