Repository for Publications and Research Data

Search ETH Zurich’s Research Collection for scientific publications and research data or submit your own research output. Read more

News 

Into the summer with knowledge and caffeine – the Coffee Lectures in June

Can’t see your way through the open access jungle? Tangled up in literature management? Lacking inspiration for your holiday reading? Then come to one of our Coffee Lectures. All you need is 15 minutes. Read more

ETH RDM Summer School 2024 for early career scientists

The ETH Research Data Management Summer School 2024 still has some open spots. Take this great opportunity to learn more about the topic between 10-14th June 2024! Registration and more information

Coffee Lectures – check out our new programme

In just 15 minutes: Get useful tools and topics to support you in your daily research work – at the Coffee Lectures by the ETH Library. Read more

Recently Added 

  1. The powerful lens galaxy cluster PLCK G287.0+32.9 (θ<inf>E</inf>∼ 43"): Redshift catalog and new lens model using MUSE observations 

    D'Addona M.; Mercurio A.; Rosati P.; et al. (2024)
    Astronomy & Astrophysics
    We present a new high-precision strong-lensing model of PLCK G287.0+32.9, a massive lens galaxy cluster at z = 0:383, with the aim of obtaining an accurate estimation of its effective Einstein radius and total mass distribution.We also present a spectroscopic catalog containing accurate redshift measurements for close to 500 objects up to redshift z = 6, including multiply lensed sources and cluster member galaxies. Methods. We exploited ...
    Journal Article
  2. MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels 

    Chen Q.; Geng X.; Rosset C.; et al. (2024)
    WWW 2024 Companion - Companion Proceedings of the ACM Web Conference
    Recent breakthroughs in large models have highlighted the critical significance of data scale, labels and modals. In this paper, we introduce MS MARCO Web Search, the first large-scale information-rich web dataset, featuring millions of real clicked query-document labels. This dataset closely mimics real-world web document and query distribution, provides rich information for various kinds of downstream tasks and encourages research in ...
    Conference Paper
  3. Shock! Quantifying the Impact of Core Developers’ Dropout on the Productivity of OSS Projects 

    Latona G.R.; Gote C.; Zingg C.; et al. (2024)
    WWW 2024 Companion - Companion Proceedings of the ACM Web Conference
    Open Source Software (OSS) projects play a critical role in the digital infrastructure of companies and services provided to millions of people. Given their importance, understanding the resilience of OSS projects is paramount. A primary reason for OSS project failure is the shock caused by the dropout of a core developer, which can jeopardize productivity and project survival. Using a difference-in-differences (DiD) analysis, this study ...
    Conference Paper
  4. Measuring Arbitrage Losses and Profitability of AMM Liquidity 

    Fritsch R.; Canidio A. (2024)
    WWW 2024 Companion - Companion Proceedings of the ACM Web Conference
    This paper presents the results of a comprehensive empirical study of losses to arbitrageurs (following the formalization of loss-versus-rebalancing by [Milionis et al., 2022]) incurred by liquidity on automated market makers (AMMs). Through a systematic comparison between historical earnings from trading fees and losses to arbitrageurs, our findings indicate an insufficient compensation from fees for arbitrage losses across many of the ...
    Conference Paper
  5. Mouse Tracking for Reading (MoTR): A new naturalistic incremental processing measurement tool 

    Wilcox, Ethan Gotlieb; Ding, Cui; Sachan, Mrinmaya; et al. (2024)
    Journal of Memory and Language
    We introduce Mouse Tracking for Reading (MOTR) a new incremental processing measurement tool that can be used to collect word-by-word reading times. In a MOTR trial, participants are presented with text, which is blurred, except for a small region around the tip of the mouse. Participants must move the mouse to reveal and read the text. Mouse movement is recorded, and, using a postprocessing pipeline we present, can be analyzed to produce ...
    Journal Article

View more