cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7157355
title: Transaction Graph Dataset for the Bitcoin Blockchain - Part 1 of 4

description: This dataset contains bitcoin transfer transactions extracted from the Bitcoin Mainnet blockchain. Part2 is available at https://zenodo.org/deposit/7157854<br> Part3 is available at https://zenodo.org/deposit/7158133<br> Part4 is available at https://zenodo.org/deposit/7158328 Details of the datasets are given below: <strong>FILENAME FORMAT:</strong> The filenames have the following format: btc-tx-&lt;start blockno&gt;-&lt;end blockno&gt;-&lt;part&gt;.bz2 where &lt;start blockno&gt; is the starting block number, &lt;end blockno&gt; final block number, and &lt;part&gt; 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. <strong>TRANSACTION FORMAT:</strong> Each line in a file corresponds to a transaction. The transaction has the following format: &lt;SYMBOL&gt; &lt;blockno&gt; &lt;txno&gt; &lt;from&gt; &lt;to&gt; &lt;value&gt; <br> &lt;SYMBOL&gt; Type of transaction (i.e. BTC-IN or BTC-OUT). &lt;blockno&gt; Number of the block which contains the transaction. &lt;txno&gt; Position of the transaction in the block (i.e. transaction number in the block). &lt;from&gt; Source bitcoin address/transaction of the transfer. &lt;to&gt; Destination bitcoin address/transaction of the transfer. &lt;value&gt; Amount of transfer. <strong>BLOCK TIME FORMAT:</strong> The block time file has the following format: &lt;block no&gt; &lt;timestamp&gt; <br> &lt;block no&gt; Number of the block. &lt;timestamp&gt; Unix timestamp at which the block is mined as a hexadecimal number. <strong>IMPORTANT NOTE:</strong> 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. <strong>NOTE:</strong> 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 <pre><code>@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} }</code></pre>
DOI: 10.5281/zenodo.7157356
title: Transaction Graph Dataset for the Bitcoin Blockchain - Part 1 of 4

description: This dataset contains bitcoin transfer transactions extracted from the Bitcoin Mainnet blockchain. Part2 is available at https://zenodo.org/deposit/7157854<br> Part3 is available at https://zenodo.org/deposit/7158133<br> Part4 is available at https://zenodo.org/deposit/7158328 Details of the datasets are given below: <strong>FILENAME FORMAT:</strong> The filenames have the following format: btc-tx-&lt;start blockno&gt;-&lt;end blockno&gt;-&lt;part&gt;.bz2 where &lt;start blockno&gt; is the starting block number, &lt;end blockno&gt; final block number, and &lt;part&gt; 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. <strong>TRANSACTION FORMAT:</strong> Each line in a file corresponds to a transaction. The transaction has the following format: &lt;SYMBOL&gt; &lt;blockno&gt; &lt;txno&gt; &lt;from&gt; &lt;to&gt; &lt;value&gt; <br> &lt;SYMBOL&gt; Type of transaction (i.e. BTC-IN or BTC-OUT). &lt;blockno&gt; Number of the block which contains the transaction. &lt;txno&gt; Position of the transaction in the block (i.e. transaction number in the block). &lt;from&gt; Source bitcoin address/transaction of the transfer. &lt;to&gt; Destination bitcoin address/transaction of the transfer. &lt;value&gt; Amount of transfer. <strong>BLOCK TIME FORMAT:</strong> The block time file has the following format: &lt;block no&gt; &lt;timestamp&gt; <br> &lt;block no&gt; Number of the block. &lt;timestamp&gt; Unix timestamp at which the block is mined as a hexadecimal number. <strong>IMPORTANT NOTE:</strong> 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. <strong>NOTE:</strong> 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 <pre><code>@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} }</code></pre>
DOI: 10.5281/zenodo.7157854
title: Transaction Graph Dataset for the Bitcoin Blockchain - Part 2 of 4

description: This dataset contains bitcoin transfer transactions extracted from the Bitcoin Mainnet blockchain. Part1 is available at https://zenodo.org/deposit/7157356<br> Part3 is available at https://zenodo.org/deposit/7158133<br> Part4 is available at https://zenodo.org/deposit/7158328 Details of the datasets are given below: <strong>FILENAME FORMAT:</strong> The filenames have the following format: btc-tx-&lt;start blockno&gt;-&lt;end blockno&gt;-&lt;part&gt;.bz2 where &lt;start blockno&gt; is the starting block number, &lt;end blockno&gt; final block number, and &lt;part&gt; 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. <strong>TRANSACTION FORMAT:</strong> Each line in a file corresponds to a transaction. The transaction has the following format: &lt;SYMBOL&gt; &lt;blockno&gt; &lt;txno&gt; &lt;from&gt; &lt;to&gt; &lt;value&gt; <br> &lt;SYMBOL&gt; Type of transaction (i.e. BTC-IN or BTC-OUT). &lt;blockno&gt; Number of the block which contains the transaction. &lt;txno&gt; Position of the transaction in the block (i.e. transaction number in the block). &lt;from&gt; Source bitcoin address/transaction of the transfer. &lt;to&gt; Destination bitcoin address/transaction of the transfer. &lt;value&gt; Amount of transfer. <strong>BLOCK TIME FORMAT:</strong> The block time file has the following format: &lt;block no&gt; &lt;timestamp&gt; <br> &lt;block no&gt; Number of the block. &lt;timestamp&gt; Unix timestamp at which the block is mined as a hexadecimal number. <strong>IMPORTANT NOTE:</strong> 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. <strong>NOTE:</strong> 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 <pre><code>@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} }</code></pre>
DOI: 10.5281/zenodo.7158132
title: Transaction Graph Dataset for the Bitcoin Blockchain - Part 3 of 4

description: This dataset contains bitcoin transfer transactions extracted from the Bitcoin Mainnet blockchain. Part1 is available at https://zenodo.org/deposit/7157356<br> Part2 is available at https://zenodo.org/deposit/7157854<br> Part4 is available at https://zenodo.org/deposit/7158328 Details of the datasets are given below: <strong>FILENAME FORMAT:</strong> The filenames have the following format: btc-tx-&lt;start blockno&gt;-&lt;end blockno&gt;-&lt;part&gt;.bz2 where &lt;start blockno&gt; is the starting block number, &lt;end blockno&gt; final block number, and &lt;part&gt; 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. <strong>TRANSACTION FORMAT:</strong> Each line in a file corresponds to a transaction. The transaction has the following format: &lt;SYMBOL&gt; &lt;blockno&gt; &lt;txno&gt; &lt;from&gt; &lt;to&gt; &lt;value&gt; <br> &lt;SYMBOL&gt; Type of transaction (i.e. BTC-IN or BTC-OUT). &lt;blockno&gt; Number of the block which contains the transaction. &lt;txno&gt; Position of the transaction in the block (i.e. transaction number in the block). &lt;from&gt; Source bitcoin address/transaction of the transfer. &lt;to&gt; Destination bitcoin address/transaction of the transfer. &lt;value&gt; Amount of transfer. <strong>BLOCK TIME FORMAT:</strong> The block time file has the following format: &lt;block no&gt; &lt;timestamp&gt; <br> &lt;block no&gt; Number of the block. &lt;timestamp&gt; Unix timestamp at which the block is mined as a hexadecimal number. <strong>IMPORTANT NOTE:</strong> 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. <strong>NOTE:</strong> 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 <pre><code>@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} }</code></pre>
DOI: 10.5281/zenodo.7157853
title: Transaction Graph Dataset for the Bitcoin Blockchain - Part 2 of 4

description: This dataset contains bitcoin transfer transactions extracted from the Bitcoin Mainnet blockchain. Part1 is available at https://zenodo.org/deposit/7157356<br> Part3 is available at https://zenodo.org/deposit/7158133<br> Part4 is available at https://zenodo.org/deposit/7158328 Details of the datasets are given below: <strong>FILENAME FORMAT:</strong> The filenames have the following format: btc-tx-&lt;start blockno&gt;-&lt;end blockno&gt;-&lt;part&gt;.bz2 where &lt;start blockno&gt; is the starting block number, &lt;end blockno&gt; final block number, and &lt;part&gt; 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. <strong>TRANSACTION FORMAT:</strong> Each line in a file corresponds to a transaction. The transaction has the following format: &lt;SYMBOL&gt; &lt;blockno&gt; &lt;txno&gt; &lt;from&gt; &lt;to&gt; &lt;value&gt; <br> &lt;SYMBOL&gt; Type of transaction (i.e. BTC-IN or BTC-OUT). &lt;blockno&gt; Number of the block which contains the transaction. &lt;txno&gt; Position of the transaction in the block (i.e. transaction number in the block). &lt;from&gt; Source bitcoin address/transaction of the transfer. &lt;to&gt; Destination bitcoin address/transaction of the transfer. &lt;value&gt; Amount of transfer. <strong>BLOCK TIME FORMAT:</strong> The block time file has the following format: &lt;block no&gt; &lt;timestamp&gt; <br> &lt;block no&gt; Number of the block. &lt;timestamp&gt; Unix timestamp at which the block is mined as a hexadecimal number. <strong>IMPORTANT NOTE:</strong> 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. <strong>NOTE:</strong> 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 <pre><code>@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} }</code></pre>
DOI: 10.6084/m9.figshare.21724598
title: Control Flow.pdf

description: Control results of stem cells characterization
DOI: 10.6084/m9.figshare.21724598.v1
title: Control Flow.pdf

description: Control results of stem cells characterization
DOI: 10.5281/zenodo.7426555
title: Mooring current and temperature and Salinity measurements

description: The Mooring LCM, a shared infrastructure located along the Levante Canyon of the Eastern Ligurian Sea . The mooring is placed at 600 m depth on the Levante Canyon, offshore the Cinque Terre Cinque Marine Protected Area at 44°05.443’N, 9°29.900’E . It was firstly deployed in October 2019 . LCM is a stand-alone mooring offshore, dedicated to the long term monitoring of hydrological properties of water masses . The first installation of the LCM was made possible thanks to the "Dallaporta" CNR Oceanographic Ship, allowing the observatory to be positioned at about 6.5 nautical miles off the coast. It operates in delayed-mode and is equipped with sensors that measure physical and biogeochemical parameters along the water column from 83 m to 580 m. Starting from the bottom , the offshore monitoring station is equipped with a sediment trap placed at a depth of 582m, which allows to obtain information on the supply of sediments from the surface to the seabed. Further above, CTD probes (SBE37) are placed at three different depths, respectively at 579m, 335m and 85m. The LCM also includes two acoustic doppler current profilers (ADCP), placed respectively at 406m( Nortek Continental) and 325m ( WH Quarter Master) depth, which measures currents throughout the water column, in order to monitor the link of near-surface waters with the deep ones.
DOI: 10.5281/zenodo.7426554
title: Mooring current and temperature and Salinity measurements

description: The Mooring LCM, a shared infrastructure located along the Levante Canyon of the Eastern Ligurian Sea . The mooring is placed at 600 m depth on the Levante Canyon, offshore the Cinque Terre Cinque Marine Protected Area at 44°05.443’N, 9°29.900’E . It was firstly deployed in October 2019 . LCM is a stand-alone mooring offshore, dedicated to the long term monitoring of hydrological properties of water masses . The first installation of the LCM was made possible thanks to the "Dallaporta" CNR Oceanographic Ship, allowing the observatory to be positioned at about 6.5 nautical miles off the coast. It operates in delayed-mode and is equipped with sensors that measure physical and biogeochemical parameters along the water column from 83 m to 580 m. Starting from the bottom , the offshore monitoring station is equipped with a sediment trap placed at a depth of 582m, which allows to obtain information on the supply of sediments from the surface to the seabed. Further above, CTD probes (SBE37) are placed at three different depths, respectively at 579m, 335m and 85m. The LCM also includes two acoustic doppler current profilers (ADCP), placed respectively at 406m( Nortek Continental) and 325m ( WH Quarter Master) depth, which measures currents throughout the water column, in order to monitor the link of near-surface waters with the deep ones.
DOI: 10.6084/m9.figshare.21724619
title: Data of test systems

description: Test systems of "Distributed Optimal Dispatch of Linear Integrated Electricity and Gas System Based on Multi-Parameter Programming Modified ADMM"
DOI: 10.5517/ccdc.csd.cc27xgg3
title: CCDC 2082935: Experimental Crystal Structure Determination

description: Related Article: Jiyuan Lyu, Aurélie Claraz, Pascal Retailleau, Géraldine Masson|2022|Org.Biomol.Chem.|20|9593|doi:10.1039/D2OB01509A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28swjh
title: CCDC 2109287: Experimental Crystal Structure Determination

description: Related Article: Yizheng Bao, Xiaohang Wu, Bing Yin, Xi Kang, Zidong Lin, Huijuan Deng, Haizhu Yu, Shan Jin, Shuang Chen, Manzhou Zhu|2022|Chemical Science|13|14357|doi:10.1039/D2SC03239B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bt92k
title: CCDC 2169258: Experimental Crystal Structure Determination

description: Related Article: Angus E. McMillan, Wilson W. X. Wu, Paula L. Nichols, Benedikt M. Wanner, Jeffrey W. Bode|2022|Chemical Science|13|14292|doi:10.1039/D2SC05182F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bt94m
title: CCDC 2169260: Experimental Crystal Structure Determination

description: Related Article: Angus E. McMillan, Wilson W. X. Wu, Paula L. Nichols, Benedikt M. Wanner, Jeffrey W. Bode|2022|Chemical Science|13|14292|doi:10.1039/D2SC05182F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bt9cv
title: CCDC 2169267: Experimental Crystal Structure Determination

description: Related Article: Angus E. McMillan, Wilson W. X. Wu, Paula L. Nichols, Benedikt M. Wanner, Jeffrey W. Bode|2022|Chemical Science|13|14292|doi:10.1039/D2SC05182F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2btlmd
title: CCDC 2169554: Experimental Crystal Structure Determination

description: Related Article: Angus E. McMillan, Wilson W. X. Wu, Paula L. Nichols, Benedikt M. Wanner, Jeffrey W. Bode|2022|Chemical Science|13|14292|doi:10.1039/D2SC05182F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ckvc5
title: CCDC 2191897: Experimental Crystal Structure Determination

description: Related Article: Chaima Messaoudi, Badr Jismy, Johan Jacquemin, Hassan Allouchi, Hédi M'Rabet, Mohamed Abarbri|2022|Org.Biomol.Chem.|20|9684|doi:10.1039/D2OB01760A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2czvw3
title: CCDC 2204406: Experimental Crystal Structure Determination

description: Related Article: Golla Ramesh, Valmuri Srivardhan, Rengarajan Balamurugan|2022|Org.Biomol.Chem.|20|9698|doi:10.1039/D2OB01873J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d0ygv
title: CCDC 2205447: Experimental Crystal Structure Determination

description: Related Article: Baolin Liu, Qingsong Deng, Lei Zhang, Aimin Yu, Xiangtai Meng|2022|Org.Biomol.Chem.|20|9639|doi:10.1039/D2OB01764D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d0yhw
title: CCDC 2205448: Experimental Crystal Structure Determination

description: Related Article: Baolin Liu, Qingsong Deng, Lei Zhang, Aimin Yu, Xiangtai Meng|2022|Org.Biomol.Chem.|20|9639|doi:10.1039/D2OB01764D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.