This dataset contains bitcoin transfer transactions extracted from the Bitcoin Mainnet blockchain. Part1 is available at https://zenodo.org/deposit/7157356 Part2 is available at https://zenodo.org/deposit/7157854 Part3 is available at https://zenodo.org/deposit/7158133 Details of the datasets are given below: FILENAME FORMAT: The filenames have the following format: btc-tx-<start blockno>-<end blockno>-<part>.bz2 where <start blockno> is the starting block number, <end blockno> final block number, and <part> is the split part of the file. For example file btc-tx-100000-149999-aa.bz2 and the rest of the parts if any contain transactions from block 100000 to block 149999 inclusive. The files are compressed with bzip2. They can be uncompressed using command bunzip2. TRANSACTION FORMAT: Each line in a file corresponds to a transaction. The transaction has the following format: <SYMBOL> <blockno> <txno> <from> <to> <value> <SYMBOL> Type of transaction (i.e. BTC-IN or BTC-OUT). <blockno> Number of the block which contains the transaction. <txno> Position of the transaction in the block (i.e. transaction number in the block). <from> Source bitcoin address/transaction of the transfer. <to> Destination bitcoin address/transaction of the transfer. <value> Amount of transfer. BLOCK TIME FORMAT: The block time file has the following format: <block no> <timestamp> <block no> Number of the block. <timestamp> Unix timestamp at which the block is mined as a hexadecimal number. IMPORTANT NOTE: Public Bitcoin Mainnet blockchain data is open and can be obtained by connecting as a node on the blockchain or by using the block explorer web sites such as https://btcscan.org . The downloaders and users of this dataset accept the full responsibility of using the data in GDPR compliant manner or any other regulations. We provide the data as is and we cannot be held responsible for anything. NOTE: If you use this dataset, please do not forget to add the DOI number to the citation. If you use our dataset in your research, please also cite our paper: https://link.springer.com/chapter/10.1007/978-3-030-94590-9_14 @incollection{kilicc2022analyzing, title={Analyzing Large-Scale Blockchain Transaction Graphs for Fraudulent Activities}, author={K{\i}l{\i}{\c{c}}, Baran and {\"O}zturan, Can and {\c{S}}en, Alper}, booktitle={Big Data and Artificial Intelligence in Digital Finance}, pages={253--267}, year={2022}, publisher={Springer, Cham} }