{"@context":{"@language":"en","@vocab":"https://schema.org/","citeAs":"cr:citeAs","column":"cr:column","conformsTo":"dct:conformsTo","cr":"http://mlcommons.org/croissant/","rai":"http://mlcommons.org/croissant/RAI/","data":{"@id":"cr:data","@type":"@json"},"dataType":{"@id":"cr:dataType","@type":"@vocab"},"dct":"http://purl.org/dc/terms/","examples":{"@id":"cr:examples","@type":"@json"},"extract":"cr:extract","field":"cr:field","fileProperty":"cr:fileProperty","fileObject":"cr:fileObject","fileSet":"cr:fileSet","format":"cr:format","includes":"cr:includes","isLiveDataset":"cr:isLiveDataset","jsonPath":"cr:jsonPath","key":"cr:key","md5":"cr:md5","parentField":"cr:parentField","path":"cr:path","recordSet":"cr:recordSet","references":"cr:references","regex":"cr:regex","repeated":"cr:repeated","replace":"cr:replace","sc":"https://schema.org/","separator":"cr:separator","source":"cr:source","subField":"cr:subField","transform":"cr:transform","wd":"https://www.wikidata.org/wiki/"},"@type":"sc:Dataset","conformsTo":"http://mlcommons.org/croissant/1.0","name":"Replication Data for: "Analyzing Reward Dynamics and Decentralization in Ethereum 2.0: A Data Engineering Workflow and Datasets"","url":"https://doi.org/10.7910/DVN/HG36LO","creator":[{"@type":"Person","givenName":"Tao","familyName":"Yan","affiliation":{"@type":"Organization","name":"University of Zurich"},"name":"Yan, Tao"},{"@type":"Person","givenName":"Shengnan","familyName":"Li","affiliation":{"@type":"Organization","name":"University of Zurich"},"name":"Li, Shengnan"},{"@type":"Person","givenName":"Benjamin","familyName":"Kraner","affiliation":{"@type":"Organization","name":"University of Zurich"},"name":"Kraner, Benjamin"},{"@type":"Person","givenName":"Luyao","familyName":"Zhang","affiliation":{"@type":"Organization","name":"University of Zurich"},"name":"Zhang, Luyao"},{"@type":"Person","givenName":"Claudio J.","familyName":"Tessone","affiliation":{"@type":"Organization","name":"University of Zurich"},"name":"Tessone, Claudio J."}],"description":"The dataset is the consensus reward data from Ethereum Beacon chain, it comprises three main types of validator rewards on Ethereum's Beacon Chain: proposer rewards, attestation rewards, and sync committee rewards. The data spans from September 15, 2022 to September 15, 2023, and consists of information from 895,203 validators. We aggregated these rewards on a daily basis, resulting in a comprehensive total_reward_by_date file (3.3 G in parquet format) that tracks each validator’s daily earnings across all reward types.","keywords":["Computer and Information Science"],"license":"http://creativecommons.org/licenses/by/4.0","datePublished":"2025-01-21","dateModified":"2025-01-21","includedInDataCatalog":{"@type":"DataCatalog","name":"Harvard Dataverse","url":"https://dataverse.harvard.edu"},"publisher":{"@type":"Organization","name":"Harvard Dataverse"},"version":"1.1","citeAs":"@data{DVN/HG36LO_2025,author = {Yan, Tao and Li, Shengnan and Kraner, Benjamin and Zhang, Luyao and Tessone, Claudio J.},publisher = {Harvard Dataverse},title = {Replication Data for: \"Analyzing Reward Dynamics and Decentralization in Ethereum 2.0: A Data Engineering Workflow and Datasets\"},year = {2025},url = {https://doi.org/10.7910/DVN/HG36LO}}","citation":[{"@type":"CreativeWork","name":"@article{yan2024analyzing, title={Analyzing 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