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
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Coffee Lectures – check out our new programme for June / July 2024
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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
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MicrobioRaman: an open-access web repository for microbiological Raman spectroscopy data
(2024)Nature MicrobiologyJournal Article -
The first two blastomeres contribute unequally to the human embryo
(2024)CellRetrospective lineage reconstruction of humans predicts that dramatic clonal imbalances in the body can be traced to the 2-cell stage embryo. However, whether and how such clonal asymmetries arise in the embryo is unclear. Here, we performed prospective lineage tracing of human embryos using live imaging, non-invasive cell labeling, and computational predictions to determine the contribution of each 2-cell stage blastomere to the epiblast ...Journal Article -
Identifying the optimal landscape configuration for landscape multifunctionality
(2024)Ecosystem ServicesIncreased pressure on land resources to provide multiple benefits calls for landscape strategies that optimize the supply of multiple ecosystem services (ES). Previous research into the drivers of landscape multifunctionality have focused on land use composition changes, but the spatial configuration of different land use types also drives ES supply. While the impact of landscape configuration on individual ES is well understood, the net ...Journal Article -
Predicting cycling flows in cities without cycling data
(2024)Cycling is a potential tool to mitigate many of the problems faced by urban populations today. Encouraging the use of bicycles as a legitimate mobility tool, however, demands adequate knowledge of current mobility patterns, such as locations of trip generation and attraction. Unfortunately, cities usually do not gather enough data to adequately understand cycling demand. We propose models based on spatial econometrics and gradient boosted ...Conference Paper -