Ethereum's price history suggests that that crypto was worth significantly less in 2022 than during late 2021, although nowhere near the lowest price recorded. Much like Bitcoin (BTC), the price of ETH went up in 2021 but for different reasons altogether: Ethereum, for instance, hit the news when a digital art piece was sold as the world’s most expensive NFT for over 38,000 ETH - or 69.3 million U.S. dollars. Unlike Bitcoin - of which the price growth was fueled by the IPO of the U.S.’ biggest crypto trader Coinbase - the rally on Ethereum came from technological developments that caused much excitement among traders. First, the so-called “Berlin update” rolled out on the Ethereum network in April 2021, an update which would eventually lead to the Ethereum Merge in 2022 and reduced ETH gas prices - or reduced transaction fees. The collapse of FTX in late 2022, however, changed much for the cryptocurrency. As of May 4, 2025, Ethereum was worth 1,808.59 U.S. dollars - significantly less than the 4,400 U.S. dollars by the end of 2021. Ethereum’s future and the DeFi industry Price developments on Ethereum are difficult to predict, but cannot be seen without the world of DeFi - or Decentralized Finance. This industry used technology to remove intermediaries between parties in a financial transaction. One example includes crypto wallets such as Coinbase Wallet that grew in popularity recently, with other examples including smart contractor Uniswap, Maker (responsible for stablecoin DAI), moneylender Dharma and market protocol Compound. Ethereum’s future developments are tied with this industry: Unlike Bitcoin and Ripple, Ethereum is technically not a currency but an open-source software platform for blockchain applications - with Ether being the cryptocurrency that is used inside the Ethereum network. Essentially, Ethereum facilitates DeFi - meaning that if DeFi does well, so does Ethereum. NFTs: the most well-known application of Ethereum NFTs or non-fungible tokens grew nearly ten-fold between 2018 and 2020, as can be seen in the market cap of NFTs worldwide. These digital blockchain assets can essentially function as a unique code connected to a digital file, allowing to distinguish the original file from any potential copies. This application is especially prominent in crypto art, although there are other applications: gaming, sports and collectibles are other segments where NFT sales occur.

In April 2021, the Ethereum market cap reached new heights and grew to over *** billion U.S. dollars - the first time this cryptocurrency achieved that feat. The market capitalization in August 2020 was half this amount. Market capitalization is calculated by multiplying the total number of Ethereum in circulation by the Ethereum price. Compared to the Bitcoin market capitalization, however, Ethereum was not yet as popular.

Prices for ETHUSC Ether USD Coin including live quotes, historical charts and news. ETHUSC Ether USD Coin was last updated by Trading Economics this July 20 of 2025.

Ethereum's price history suggests that that crypto was worth significantly less in 2022 than during late 2021, although nowhere near the lowest price recorded. Much like Bitcoin (BTC), the price of ETH went up in 2021 but for different reasons altogether: Ethereum, for instance, hit the news when a digital art piece was sold as the world's most expensive NFT for over 38,000 ETH - or 69.3 million U.S. dollars. Unlike Bitcoin - of which the price growth was fueled by the IPO of the U.S.' biggest crypto trader Coinbase - the rally on Ethereum came from technological developments that caused much excitement among traders. First, the so-called 'Berlin update' rolled out on the Ethereum network in April 2021, an update which would eventually lead to the Ethereum Merge in 2022 and reduced ETH gas prices - or reduced transaction fees. The collapse of FTX in late 2022, however, changed much for the cryptocurrency. As of July 15, 2025, Ethereum was worth 3,012.18 U.S. dollars - significantly less than the 4,400 U.S. dollars by the end of 2021.Ethereum's future and the DeFi industryPrice developments on Ethereum are difficult to predict, but cannot be seen without the world of DeFi - or Decentralized Finance. This industry used technology to remove intermediaries between parties in a financial transaction. One example includes crypto wallets such as Coinbase Wallet that grew in popularity in recent years, with other examples including smart contractor Uniswap, Maker (responsible for stablecoin DAI), money lender Dharma and market protocol Compound. Ethereum's future developments are tied with this industry: Unlike Bitcoin and Ripple, Ethereum is technically not a currency but an open-source software platform for blockchain applications - with Ether being the cryptocurrency that is used inside the Ethereum network. Essentially, Ethereum facilitates DeFi - meaning that if DeFi does well, so does Ethereum.NFTs: the most well-known application of EthereumNFTs or non-fungible tokens grew nearly ten-fold between 2018 and 2020, as can be seen in the market cap of NFTs worldwide. These digital blockchain assets can essentially function as a unique code connected to a digital file, allowing to distinguish the original file from any potential copies. This application is especially prominent in crypto art, although there are other applications: gaming, sports and collectibles are other segments where NFT sales occur.

Description: The "Ethereum Price USD (2018-2023)" dataset on Kaggle presents a comprehensive collection of historical Ethereum cryptocurrency price data in USD from the year 2018 to 2023. This dataset serves as a valuable resource for researchers, analysts, and enthusiasts interested in studying the trends and patterns of Ethereum's price movement over the years.

The dataset is carefully curated and includes daily price data for Ethereum, one of the leading cryptocurrencies in the market. Each entry in the dataset contains essential information, such as the date, closing price, and trading volume, enabling users to perform a wide range of analyses and gain insights into Ethereum's market behavior.

It includes the following columns:

Date: This column represents the date on which the price data was recorded. It typically follows the format of YYYY-MM-DD (year-month-day), indicating the specific day for which the price information is provided.

Price: The "Price" column contains the closing price of Ethereum on the corresponding date. It represents the value at which Ethereum was traded at the end of the trading day in USD.

Open: The "Open" column denotes the opening price of Ethereum on the given date. It signifies the price at which the first trade occurred on that day.

High: The "High" column shows the highest price of Ethereum recorded on the date. It represents the peak price level reached during the trading session.

Low: The "Low" column displays the lowest price of Ethereum recorded on the date. It indicates the minimum price level reached during the trading session.

Vol. (Volume): The "Volume" column represents the trading volume of Ethereum on the date. It reflects the total number of Ethereum coins traded during the entire trading session.

Change %: The "Change %" column provides the percentage change in Ethereum's price from the previous trading day's closing price to the current day's closing price. It shows how much the price has increased or decreased in percentage terms.

Key Features: 1. Timeframe: The dataset spans from the year 2016, capturing the early stages of Ethereum's existence, up to the current year 2023. This extensive temporal coverage allows users to observe how Ethereum's price has evolved over time, through both bullish and bearish market conditions.

1. Price Data: For each date in the dataset, the closing price of Ethereum in USD is provided. This data is crucial for analyzing price trends, volatility, and identifying significant price movements.

2. Trading Volume: In addition to price information, the dataset also includes daily trading volume, enabling users to assess the liquidity and trading activity surrounding Ethereum on any given day.

Potential Use Cases: The "Ethereum Price USD (2018-2023)" dataset opens up a wide range of possibilities for data analysis and research. Some potential use cases include:

1. Trend Analysis: Researchers can use this dataset to identify long-term price trends, recurring patterns, and cycles in Ethereum's price movement.

2. Volatility Assessment: Traders and analysts can study the volatility of Ethereum's price over different time periods and understand its impact on market sentiment.

3. Event Correlation: By combining this dataset with external event data, users can explore correlations between specific events (e.g., technological developments, regulatory changes) and Ethereum's price fluctuations.

4. Predictive Modeling: Data scientists and machine learning enthusiasts can use this dataset to build predictive models for forecasting Ethereum's future price movements.

5. Investment Strategy: Investors can analyze historical price data to make informed decisions about Ethereum's potential as an investment asset.

Data Source: The "Ethereum Price USD (2018-2023)" dataset is sourced from reliable and reputable cryptocurrency exchanges and market data providers. Users can be confident in the accuracy and quality of the data, ensuring the reliability of their analyses and insights.

Note: As with any financial dataset, users are advised to exercise caution and perform their due diligence when using this data for investment decisions or any other financial purposes. Historical price data may not guarantee future performance, and cryptocurrency markets can be highly volatile.

Disclaimer: The dataset provided on Kaggle is intended for informational and educational purposes only. The uploader and Kaggle are not responsible for any financial or investment decisions made based on the data. Users are encouraged to seek professional financial advice before making any investment decisions.

This dataset contains ether as well as popular ERC20 token transfer transactions extracted from the Ethereum Mainnet blockchain.

Only send ether, contract function call, contract deployment transactions are present in the dataset. Miner reward (static block reward) and "uncle block inclusion reward" are added as transactions to the dataset. Transaction fee reward and "uncles reward" are not currently included in the dataset.

Details of the datasets are given below:

FILENAME FORMAT:

The filenames have the following format:

eth-tx--.txt.bz2

where is the starting block number and final block number.

For example file eth-tx-1000000-1099999.txt.bz2 contains transactions from

block 1000000 to block 1099999 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:

is the abreviation for the asset. For example ETH means ether transfer in Wei 


          units. ERC20 tokens transfers (transfer and transferFrom function calls in ERC20 


          contract) are indicated by token symbol. For example GUSD is Gemini USD stable


          coin. The JSON file erc20tokens.json given below contains the details of ERC20 tokens.


          Failed transactions are prefixed with "F-".


  Number of the block which contains the transaction. 


    Position of the transaction in the block (i.e. transaction number in the block). Static block reward and uncle block inclusion reward has 0 as tx no. The position of transactions in the block is shifted by 1. The first transaction has 1 as tx no.

Source ethereum address of the transfer. For static block rewards, the from addr is ETHMAINBLOCK. For uncle block inclusion rewards, the from addr is ETHMAINUNCLE.

  Destination ethereum address of the transfer. The to addr is 0x0 for contract deployment transactions instead of null.


   Amount of transfer. The amount is given as hexadecimal a number. 

BLOCK TIME FORMAT:

The block time file has the following format:

  Number of the block. 


 Unix timestamp at which the block is mined as a hexadecimal number.

erc20tokens.json FILE:

This file contains the list of popular ERC20 token contracts whose transfer/transferFrom transactions appear in the data files.

ERC20 token list: USDT TRYb XAUt BNB LEO LINK HT HEDG MKR CRO VEN INO PAX INB SNX REP MOF ZRX SXP OKB XIN OMG SAI HOT DAI EURS HPT BUSD USDC SUSD HDG QCAD PLUS BTCB WBTC cWBTC renBTC sBTC imBTC pBTC

IMPORTANT NOTE:

Public Ethereum 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 http://etherscan.io . 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/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} }

Уникальный идентификатор https://doi.org/10.5281/zenodo.4718440 Набор данных обновлен Dec 19, 2022 Набор данных предоставлен Zenodo Авторы Can Özturan; Can Özturan; Alper Şen; Alper Şen; Baran Kılıç; Baran Kılıç Лицензия Attribution 4.0 (CC BY 4.0) Информация о лицензии была получена автоматически Описание This dataset contains ether as well as popular ERC20 token transfer transactions extracted from the Ethereum Mainnet blockchain. Only send ether, contract function call, contract deployment transactions are present in the dataset. Miner reward (static block reward) and "uncle block inclusion reward" are added as transactions to the dataset. Transaction fee reward and "uncles reward" are not currently included in the dataset. Details of the datasets are given below: FILENAME FORMAT: The filenames have the following format: eth-tx- where For example file eth-tx-1000000-1099999.txt.bz2 contains transactions from block 1000000 to block 1099999 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: units. ERC20 tokens transfers (transfer and transferFrom function calls in ERC20 contract) are indicated by token symbol. For example GUSD is Gemini USD stable coin. The JSON file erc20tokens.json given below contains the details of ERC20 tokens. Failed transactions are prefixed with "F-". BLOCK TIME FORMAT: The block time file has the following format: erc20tokens.json FILE: This file contains the list of popular ERC20 token contracts whose transfer/transferFrom transactions appear in the data files. ERC20 token list: USDT TRYb XAUt BNB LEO LINK HT HEDG MKR CRO VEN INO PAX INB SNX REP MOF ZRX SXP OKB XIN OMG SAI HOT DAI EURS HPT BUSD USDC SUSD HDG QCAD PLUS BTCB WBTC cWBTC renBTC sBTC imBTC pBTC IMPORTANT NOTE: Public Ethereum 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 http://etherscan.io . 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/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} }

Daily cryptocurrency data (transaction count, on-chain transaction volume, value of created coins, price, market cap, and exchange volume) in CSV format. The data sample stretches back to December 2013. Daily on-chain transaction volume is calculated as the sum of all transaction outputs belonging to the blocks mined on the given day. “Change” outputs are not included. Transaction count figure doesn’t include coinbase transactions. Zcash figures for on-chain volume and transaction count reflect data collected for transparent transactions only. In the last month, 10.5% (11/18/17) of ZEC transactions were shielded, and these are excluded from the analysis due to their private nature. Thus transaction volume figures in reality are higher than the estimate presented here, and NVT and exchange to transaction value lower. Data on shielded and transparent transactions can be found here and here. Decred data doesn’t include tickets and voting transactions. Monero transaction volume is impossible to calculate due to RingCT which hides transaction amounts.

By March 2022, over 119 million Ethereum tokens were issued and in active circulation - but it is expected new coins will not arrive at a fast pace. Although the cryptocurrency has an unlimited supply - unlike Bitcoin, of which there can only be 21 million tokens and not a single more - the Ethereum blockchain received an update in August 2021, EIP-1559, that both increased the block size needed to create new coins and destroyed (“burned”) any transactions fees, rather than send them to the original miners. This led to a decline in issuance, as mining Ethereum essentially was made less profitable. Issuance is expected to decline further when Ethereum 2.0 arrives.

Ethereum: a counter to inflation?

In a time when inflation rates became a big talking point, Ethereum received much social media attention in late 2021 for possibly being deflationary. This argument stems from August 2021, or “London Hard Fork”, upgrade in August 2021: Each transaction on the Ethereum network would entirely remove a portion of Ethereum from the total supply in circulation. On days of high transaction activity of Ethereum, for example, after a change in the price of Ethereum, this can effectively mean more coins are being destroyed than there are being created.

Ethereum supply to change after the upgrade to 2.0?

Experts state burning on a scale that the supply of Ethereum declines only happens on occasion, stating it acts more as a temporary slowdown of growth rather than an active attempt to continuously shrink supply. This could change, however, when Ethereum 2.0 arrives – or when Ethereum switches from Proof-of-Work (PoW) to Proof-of-Stake (PoS). The general assumption for this is that staking rewards are generally lower than rewards for Proof-of-Work (mining), lowering the incentive for the creation of new coins. If usage – which some measure via the Ethereum gas price, or transaction fee per transaction – remains unchanged otherwise, this would lower the threshold for Ethereum to become deflationary.

Daily cryptocurrency data (transaction count, on-chain transaction volume, value of created coins, price, market cap, and exchange volume) in CSV format. The data sample stretches back to December 2013. Daily on-chain transaction volume is calculated as the sum of all transaction outputs belonging to the blocks mined on the given day. “Change” outputs are not included. Transaction count figure doesn’t include coinbase transactions. Zcash figures for on-chain volume and transaction count reflect data collected for transparent transactions only. In the last month, 10.5% (11/18/17) of ZEC transactions were shielded, and these are excluded from the analysis due to their private nature. Thus transaction volume figures in reality are higher than the estimate presented here, and NVT and exchange to transaction value lower. Data on shielded and transparent transactions can be found here and here. Decred data doesn’t include tickets and voting transactions. Monero transaction volume is impossible to calculate due to RingCT which hides transaction amounts.

Ethereum is a crypto currency which leverages blockchain technology to store transactions in a distributed ledger. A blockchain is an ever-growing "tree" of blocks, where each block contains a number of transactions. To learn more, read the "Ethereum in BigQuery: a Public Dataset for smart contract analytics" blog post by Google Developer Advocate Allen Day. This dataset is part of a larger effort to make cryptocurrency data available in BigQuery through the Google Cloud Public Datasets program . The program is hosting several cryptocurrency datasets, with plans to both expand offerings to include additional cryptocurrencies and reduce the latency of updates. You can find these datasets by searching "cryptocurrency" in GCP Marketplace. For analytics interoperability, we designed a unified schema that allows all Bitcoin-like datasets to share queries. Interested in learning more about how the data from these blockchains were brought into BigQuery? Looking for more ways to analyze the data? Check out the Google Cloud Big Data blog post and try the sample queries below to get started. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

Description This dataset contains the Pagerank values and rankings of 147.098.561 Ethereum addresses. File format The dataset is compressed with bzip2. It can be uncompressed using the command bunzip2. It is a space-delimited plain text file and has the following four fields: Ethereum Address: A 42-character hexadecimal Ethereum address in the lowercase form (not in checksummed (mixed-case) form). E.g. 0x3f5ce5fbfe3e9af3971dd833d26ba9b5c936f0be rank: Unique Pagerank rank where the ties (addresses having the same Pagerank value) are resolved by sorting the addresses by hexadecimal value rank with ties: Pagerank rank where the ties (addresses having the same Pagerank value) have the same rank. Pagerank value: Pagerank of the address calculated using Pagerank algorithm. Dataset Generation The Ethereum transactions between blocks 0 (mined on 30.07.2015) and 13.799.999 (mined on 14.12.2021) are extracted. A transaction graph is constructed, where Ethereum addresses are nodes of the graph and the transactions 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 Bitcoin Blockchain.

Ethereum Classic is a cryptocurrency with shared history with the Ethereum cryptocurrency. On technical merits, the two cryptocurrencies are nearly identical, differing only in programming language features supported by the Ethereum Virtual machine which is used to write smart contracts. This dataset contains the blockchain data in their entirety, pre-processed to be human-friendly and to support common use cases such as auditing, investigating, and researching the economic and financial properties of the system. Interested in learning more about how Cloud Public Data is working to make data from blockchains and cryptocurrencies more accessible? Check out our blog post on the Google Cloud Big Data Blog and try the sample query below to get started. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

This dataset surfaces data from the Ethereum Goerli testnet blockchain and includes tables for blocks, transactions, logs, and more. Ethereum is a decentralized open-source blockchain system that features its own cryptocurrency, Ether. A blockchain is an ever-growing tree of blocks. Each block contains a number of transactions. The Goerli testnet is a testnet of the Ethereum network. It enables developers to deploy, test, and execute their dApps in the blockchain environment risk-free and at no cost. For more information, see the Blockchain Analytics documentation . This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

This dataset contains the data used in the paper "Decentralization of Ethereum's Builder Market" (IEEE S&P 2025). It includes the following components: 1. Partial Bids Dataset This dataset contains partial bids collected from 13 MEV-Boost relays, covering the period from September 15, 2022, to October 31, 2024. A partial bid refers to a bid submitted by a builder that includes metadata—such as the block hash and bid value—but not the full block contents. In an MEV-Boost auction, relays aggregate bids from multiple builders and forward the highest bid to the proposer for inclusion. We query each relay daily and store all received partial bids. Each record includes the block hash and the associated bid value submitted by a builder. The dataset is organized by day, allowing for temporal analysis of builder behavior and MEV-Boost auction dynamics. 2. Private Transactions Dataset This dataset tracks private transactions—transactions that are confirmed on-chain but do not appear in the public mempool. These transactions typically bypass public propagation and are submitted directly to block builders through private channels. The dataset is organized by month, with each file containing all detected private transactions for that period. It currently covers the period from September 15, 2022, to October 31, 2024. To identify private transactions, we use a combination of full nodes and API subscriptions to QuickNode and Infura to collect pending transactions as they enter the mempool. We then compare this data to the on-chain transactions to identify private transactions. Our data collection process is described in more detail at https://mempool.guru.

EuroSpeech Dataset

  Dataset Description

EuroSpeech is a large-scale multilingual speech corpus containing high-quality aligned parliamentary speech across 22 European languages. The dataset was constructed by processing parliamentary proceedings using a robust alignment pipeline that handles diverse audio formats and non-verbatim transcripts.

  Dataset Summary

Languages: 22 European languages (see detailed breakdown below) Total aligned hours: ~78,100 hours of… See the full description on the dataset page: https://huggingface.co/datasets/disco-eth/EuroSpeech.

EGG ETH Ang pagsubaybay sa kasaysayan ng presyo ay nagbibigay-daan sa mga crypto investor na madaling masubaybayan ang performance ng kanilang pamumuhunan. Maginhawa mong masusubaybayan ang opening value, high, at close sa EGG ETH sa paglipas ng panahon, pati na rin ang trade volume. Bukod pa rito, maaari mong agad na tingnan ang pang-araw-araw na pagbabago bilang isang porsyento, na ginagawang effortless na tukuyin ang mga araw na may significant fluctuations. Ayon sa aming data ng history ng presyo ng EGG ETH, tumaas ang halaga nito sa hindi pa naganap na peak sa 2024-03-10, na lumampas sa $0.0002391 USD. Sa kabilang banda, ang pinakamababang punto sa trajectory ng presyo ni EGG ETH, na karaniwang tinutukoy bilang "EGG ETH all-time low", ay naganap noong 2024-10-09. Kung ang isa ay bumili ng EGG ETH sa panahong iyon, kasalukuyan silang masisiyahan sa isang kahanga-hangang kita na -100%. Sa pamamagitan ng disenyo, ang 6B EGG ETH ay malilikha. Sa ngayon, ang circulating supply ng EGG ETH ay tinatayang 0. Ang lahat ng mga presyong nakalista sa pahinang ito ay nakuha mula sa Bitget, galing sa isang reliable source. Napakahalagang umasa sa iisang pinagmulan upang suriin ang iyong mga investment, dahil maaaring mag-iba ang mga halaga sa iba't ibang nagbebenta. Kasama sa aming makasaysayang EGG ETH dataset ng presyo ang data sa pagitan ng 1 minuto, 1 araw, 1 linggo, at 1 buwan (bukas/mataas/mababa/close/volume). Ang mga dataset na ito ay sumailalim sa mahigpit na pagsubok upang matiyak ang consistency, pagkakumpleto, at accurancy. Ang mga ito ay partikular na idinisenyo para sa trade simulation at mga layunin ng backtesting, madaling magagamit para sa libreng pag-download, at na-update sa real-time.

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.

The two layers contained within the GRID3 ETH - Settlement Extents v3.0 include:GRID3_ETH_settlement_extents_v3.gpkg: a spatial layer representing settlement polygons.GRID3_ETH_settlement_grid_v3.gpkg: a spatial layer representing the centroids of settled grid cells.The current version supersedes GRID3 ETH - Settlement Extents v2.0; the following changes were made:Development of a new methodology to derive building counts and settlement polygons with open data.Estimation of a probability value for settlement polygonsAddition of a building-area measureReplacement of degree of urbanization with classification based on built-up areas, small settlement areas, and hamletsElimination of building-count rangesElimination of variable comparing to previous versionsFor more information on data inputs, methodology, and codebooks please see the Data Release Notes.Recommended Citation:Center for International Earth Science Information Network (CIESIN), Columbia University. 2024. GRID3 ETH - Settlement Extents v3.0. New York: GRID3. https://doi.org/doi:10.7916/2hhy-yd24. Accessed [DAY MONTH YEAR].Terms of use:Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.Copyright 2024. The Trustees of Columbia University in the City of New York.Data license:The data and accompanying document are licensed under a Creative Commons Attribution-ShareAlike 4.0 International, CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0) and specified in legal code (https://creativecommons.org/licenses/by-sa/4.0/legalcode).Contacts and data queries:The authors of this dataset appreciate feedback regarding the data, including suggestions, discovery of errors, difficulties in using the data, and format preferences. For dataset-related questions, please send an email to: info@ciesin.columbia.edu