Information:This dataset was created for research on blockchain anomaly and fraud detection. And donated to IEEE data port online community. https://github.com/epicprojects/blockchain-anomaly-detection

Dataset containing the metadata extracted from OP_RETURN transactions in the first 480.000 blocks of the Bitcoin blockchain

bitcoin historical data per day between date from 2013-04-29 to 2020-06-18

Dataset

This dataset was created by Harsh Upadhyay

Contents

Dataset

This dataset was created by Spartak

Contents

3MEth Dataset OverviewSection 1: Token TransactionsThis section provides 303 million transaction records from 3,880 tokens and 35 million users on the Ethereum blockchain. The data is stored in 3,880 CSV files, each representing a specific token. Each transaction includes the following information:Sender and receiver wallet addresses: Enables network analysis and user behavior studies.Token address: Links transactions to specific tokens for token-specific analysis.Transaction value: Reflects the number of tokens transferred, essential for liquidity studies.Blockchain timestamp: Captures transaction timing for temporal analysis.Apart from the large dataset, we also provide a smaller CSV file containing 267,242 transaction records from 29,164 wallet addresses. This smaller dataset involves a total of 1,194 tokens, covering the time period September 2016 to November 2023. This detailed transaction data is critical for studying user behavior, liquidity patterns, and tasks such as link prediction and fraud detection.Section 2: Token InformationThis section offers metadata for 3,880 tokens, stored in corresponding CSV files. Each file contains:Timestamp: Marks the time of data update.Token price: Useful for price prediction and volatility studies.Market capitalization: Reflects the token's market size and dominance.24-hour trading volume: Indicates liquidity and trading activity.Section 3: Global Market IndicesThis section provides macro-level data to contextualize token transactions, stored in separate CSV files. Key indicators include:Bitcoin dominance: Tracks Bitcoin's share of the cryptocurrency market.Total market capitalization: Measures the overall market's value, with breakdowns by token type.Stablecoin market capitalization: Highlights stablecoin liquidity and stability.24-hour trading volume: A key measure of market activity.These indices are essential for integrating global market trends into predictive models for volatility and risk-adjusted returns.Section 4: Textual IndicesThis section contains sentiment data from Reddit's Ethereum community, covering 7,800 top posts from 2014 to 2024. Each post includes:Post score (net upvotes): Reflects engagement and sentiment strength.Timestamp: Aligns sentiment with price movements.Number of comments: Gauges sentiment intensity.Sentiment indices: Sentiment scores computed using methods detailed in the data preprocessing section.The full Reddit textual dataset is available upon request; please contact us for access. Alternatively our open-source repository includes a tool to guide users in collecting Reddit data. Researchers are encouraged to apply for a Reddit API Key and adhere to Reddit's policies. This data is valuable for understanding social dynamics in the market and enhancing sentiment analysis models that can explain market movements and improve behavioral predictions.

Dataset

This dataset was created by PurplePhoenix

Released under CC0: Public Domain

Contents

This repository contains the results of our experimental evaluation conducted with IMPULSE (https://github.com/t-blume/impulse). The datasets are subsets of the Billion Triple Challenge Dataset 2014 (http://km.aifb.kit.edu/projects/btc-2014/) containing only bibliographic metadata.

Because we have the largest, most complete data set from the notorious r/wallstreetbets and 4Chan /Biz back to 2019, our data has been regularly featured in the WSJ in stories in the WSJ, Forbes, and other major publications.

This product includes:

-API for institutional clients -Comment counts by crypto ticker -Comment sentiment analysis: deep-learning-trained using advanced ensemble modelsThe latest iteration of our product includes:

Full text and metadata of every post and comment, structured and searchable:

-Time: date and time to the second -Ticker: crypto ticker -Mentions: each time ticker is referenced -Comments: each comment in which ticker is referenced -Posts: posts referencing ticker (highest level)

DATA: 10 GB of comment data STORAGE: Housed in a PostgreSQL database 4CHAN POSTS: Time/Date, comment, number of child comments (if applicable) TWITCH COMMENTS: Time/Date, comment

Timeseries data from 'SACRAMENTO RIVER AT BUTTE CITY (BTC)' (gov_noaa_nws_hads_sacramento_riv) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=feedback@axiomdatascience.com contributor_name=Axiom Data Science contributor_role=processor contributor_role_vocabulary=NERC contributor_url=https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=water_surface_height_above_reference_datum_geoid_localstationdatum_qc_agg,battery_voltage,battery_voltage_qc_agg,z,time,water_surface_height_above_reference_datum_geoid_localstationdatum&time>=max(time)-3days Easternmost_Easting=-121.993056 featureType=TimeSeries geospatial_lat_max=37.457778 geospatial_lat_min=37.457778 geospatial_lat_units=degrees_north geospatial_lon_max=-121.993056 geospatial_lon_min=-121.993056 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from Hydrometeorological Automated Data System (HADS) at id=130907 infoUrl=https://sensors.ioos.us/#metadata/130907/station institution=Hydrometeorological Automated Data System (HADS) naming_authority=com.axiomdatascience Northernmost_Northing=37.457778 platform=fixed platform_name=SACRAMENTO RIVER AT BUTTE CITY (BTC) platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://hads.ncep.noaa.gov/cgi-bin/hads/interactiveDisplays/displayMetaData.pl?table=dcp&nesdis_id=CA53E4E4,, sourceUrl=https://hads.ncep.noaa.gov/cgi-bin/hads/interactiveDisplays/displayMetaData.pl?table=dcp&nesdis_id=CA53E4E4 Southernmost_Northing=37.457778 standard_name_vocabulary=CF Standard Name Table v72 station_id=130907 time_coverage_end=2024-10-16T21:30:00Z time_coverage_start=2015-05-05T14:00:00Z Westernmost_Easting=-121.993056

Context

Streamed from twitters API, Collecting Tweets containing XBT, Bitcoin, BTC

Content

DateTime Username Text Polarity Sensitivity

Acknowledgements

Tweppy Twitter

description: Cryptosporidiosis is a disease caused by ingesting or swallowing the intestinal parasite Cryptosporidium parvum. Watery diarrhea and abdominal cramping are the most common major symptoms, while other symptoms may include nausea, vomiting, fatigue, weight loss and low-grade fever. Symptoms may last as long as 30 days in otherwise healthy individuals, but in persons with weakened immune systems symptoms can persist indefinitely and possibly lead to serious illness and death. The parasite Cryptosporidium parvum is found in the feces of infected animals and people. Inadequate disposal of feces and water run-off from animal habitats may also contaminate drinking water supplies and recreational water sites.; abstract: Cryptosporidiosis is a disease caused by ingesting or swallowing the intestinal parasite Cryptosporidium parvum. Watery diarrhea and abdominal cramping are the most common major symptoms, while other symptoms may include nausea, vomiting, fatigue, weight loss and low-grade fever. Symptoms may last as long as 30 days in otherwise healthy individuals, but in persons with weakened immune systems symptoms can persist indefinitely and possibly lead to serious illness and death. The parasite Cryptosporidium parvum is found in the feces of infected animals and people. Inadequate disposal of feces and water run-off from animal habitats may also contaminate drinking water supplies and recreational water sites.

List of Stellar assets on soroban, with their price and metadata.

Legacy product - no abstract available

Legacy product - no abstract available

Dataset

This dataset was created by Anubhav Gupta

Contents

Dataset

This dataset was created by AlexWT

Contents

It contains the following files:

What is Ethereum?

Ethereum is a decentralized, open-source blockchain with smart contract functionality. Ether (ETH or Ξ) is the native cryptocurrency of the platform. After Bitcoin, it is the largest cryptocurrency by market capitalization. Ethereum is the most actively used blockchain. Ethereum was proposed in 2013 by programmer Vitalik Buterin.

Data Description

This dataset provides the history of daily prices of Ethereum. The data starts from 07-Aug-2015. All the column descriptions are provided. Currency is USD.

Dataset

This dataset was created by wasakk

Contents

Context

Cryptocurrencies have become more than just a computational challenge with the recent Bitcoin Future listing on NASDAQ, hence it becomes an interesting spot for analysts to get their hands dirty. This data even though is minimal, help analysts get started in the world of cryptocurrenices analysis.

Content

Column Information:

• id
• name
• symbol
• rank
• price_usd
• price_btc
• 24h_volume_usd
• market_cap_usd
• available_supply
• total_supply
• max_supply
• percent_change_1h
• percent_change_24h
• percent_change_7d
• last_updated

Acknowledgements

This data is an extract from the R-package coinmarketcapr which is an R binding of the coinmarketcap api. Courtesy: coinmarketcap.com

Release Notes

Last Update: Feb 23rd Number of Cryptos: 1000