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6 results for “cryptocurrency datasets”

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zenodo40/100

Dataset of cryptocurrency & NFT datasets

<p>This dataset contains information about various datasets regarding cryptocurrencies and NFTs across&nbsp;the internet</p>

opencc-by-4.0Aug 2022View details →
zenodo40/100

Dataset of transactions of 10 Ethereum addresses controlled by a private key, each has at least 2000 output transactions, which include a transfer of cryptocurrency, and all transactions are performed within no longer than three months period.

<p>Starting from the block Nr. 8578851, we have evaluated every block to find enough unique addresses that satisfy the following requirements. The address that appeared in a block must be controlled by private key (i.e., CA), have at least 2000, and not more than 6000 outgoing transactions (i.e., digitally signed), which however include a transfer of any amount of cryptocurrency (i.e., Ether) and must be performed within a period no longer than three months. The whole dataset includes a total of&nbsp;30505 transactions.</p> <p>Each transaction has data about:</p> <ul> <li>transaction hash</li> <li>block number</li> <li>timestamp (Unix),</li> <li>date and time (m/dd/yyyy)</li> <li>from (Ethereum address)</li> <li>to (Ethereum address)</li> <li>output value (ETH)</li> <li>transaction fee (ETH)</li> <li>transaction fee (USD)</li> <li>historical price&nbsp;(USD)</li> </ul>

opencc-by-4.0Nov 2019View details →
zenodo40/100

CryptoSentiment: A large scale sentiment dataset for cryptocurrencies

<p>CryptoSentiment is a&nbsp;&nbsp;dataset, which contains sentiment information about cryptocurrency assets, gathered by various online sources, and analyzed by&nbsp;FinBERT sentiment extractor. More specifically, we provide a publicly available dataset&nbsp;containing fine-grained sentiment analysis data (minute-basis) about cryptocurrency market collected by different online sources.&nbsp;CryptoSentiment dataset includes 235,907 sentiment scores for 14 different cryptocurrencies gathered from various online sources such as news articles&nbsp;and social media.</p>

opencc-by-4.0Feb 2023View details →
zenodo40/100

A Dataset of Coordinated Cryptocurrency-Related Social Media Campaigns

<p>&nbsp;</p> <p>Note: This version simply updates the dataset&nbsp;with a new&nbsp;<em>Readme - Supplementary Material</em> file.</p> <p>&nbsp;</p> <p>The paper describing this dataset can be cited as:</p> <p>Zilius, K., Spiliotopoulos, T., &amp; van Moorsel, A. (2023). A Dataset of Coordinated Cryptocurrency-Related Social Media Campaigns. Proceedings of the International AAAI Conference on Web and Social Media, 17(1), 1112-1121. <a href="https://doi.org/10.1609/icwsm.v17i1.22219">https://doi.org/10.1609/icwsm.v17i1.22219</a></p> <p>&nbsp;</p> <p><strong>Abstract</strong></p> <p>The rise in adoption of cryptoassets has brought many new and inexperienced investors in the cryptocurrency space. These investors can be disproportionally influenced by information they receive online, and particularly from social media. This paper presents a dataset of crypto-related bounty events and the users that participate in them. These events coordinate social media campaigns to create artificial &quot;hype&quot; around a crypto project in order to influence the price of its token. The dataset consists of information about 15.8K cross-media bounty events, 185K participants, 10M forum comments and 82M social media URLs collected from the Bounties(Altcoins) subforum of the BitcoinTalk online forum from May 2014 to December 2022. We describe the data collection and the data processing methods employed and we present a basic characterization of the dataset. Furthermore, we discuss potential research opportunities afforded by the dataset across many disciplines and we highlight potential novel insights into how the cryptocurrency industry operates and how it interacts with its audience.</p> <p>&nbsp;</p>

opencc-by-4.0Jan 2023View details →
zenodo36/100

Dataset literature review on cyberlaw and cryptocurrency

<p>Merupakan data dari literature review tentang hukum cyber dan cryptocurrency</p>

opencc-by-4.0Nov 2022View details →
zenodo28/100

Dataset on the online cryptocurrency discussion on Twitter, Telegram, and Discord

<p>This Dataset is described in <em><strong>Charting the Landscape of Online Cryptocurrency Manipulation</strong></em>. <strong><em>IEEE Access (2020)</em></strong>, a study that aims to map and assess the extent of cryptocurrency manipulations within and across the online ecosystems of Twitter, Telegram, and Discord. Starting from tweets mentioning cryptocurrencies, we leveraged and followed invite URLs from platform to platform, building the invite-link network, in order to study the invite link diffusion process.</p> <p>Please, refer to the paper below for more details.</p> <p>Nizzoli, L., Tardelli, S., Avvenuti, M., Cresci, S., Tesconi, M. &amp; Ferrara, E. (2020). Charting the Landscape of Online Cryptocurrency Manipulation. IEEE Access (2020).</p> <p>This dataset is composed of:&nbsp;</p> <ul> <li>~16M tweet ids shared between March and May 2019, mentioning at least one of the 3,822 cryptocurrencies (cashtags) provided by the CryptoCompare public API;</li> <li>~13k nodes of the invite-link network, i.e., the information about the Telegram/Discord channels and Twitter users involved in the cryptocurrency discussion (e.g., id, name, audience, invite URL);</li> <li>~62k edges of the invite-link network, i.e., the information about the flow of invites (e.g., source id, target id, weight).</li> </ul> <p>With such information, one can easily retrieve the content of channels and messages through Twitter, Telegram, and Discord public APIs.</p> <p>Please, refer to the README file for more details about the fields.</p>

opencc-by-4.0Jun 2020View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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