121 to 130 of 138,934 Results
Apr 7, 2026 -
Replication Data for: Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq
ZIP Archive - 1.0 MB -
MD5: 461a6606bf83c69d61b31d35bc11be8c
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Apr 7, 2026 -
Replication Data for: Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq
Adobe PDF - 77.0 KB -
MD5: a20cf3a221a063a16fbbdd44ecda897f
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Apr 7, 2026 -
Replication Data for: Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq
SVG Image - 12.7 KB -
MD5: 3827cc6318aff5a2e02a0eb7da3476f7
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Apr 7, 2026 -
Replication Data for: Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq
SVG Image - 66.1 KB -
MD5: 1df24901a00eea95d52ba0192723fe3b
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Apr 7, 2026 -
Replication Data for: Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq
Adobe PDF - 213.3 KB -
MD5: 9327dc60d5f4718781c808c3e58c531d
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Apr 7, 2026 -
Replication Data for: Petrisnake, an improved computational pipeline for bacterial single-cell RNA-seq
Adobe PDF - 50.2 KB -
MD5: e6fd605278c02280a2415e5b76c47ead
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Apr 7, 2026 - University of Oslo
de Bruin, Ege, 2026, "Replication Data for: Social Learning Strategies for Evolved Virtual Soft Robots", https://doi.org/10.18710/7BR3NZ, DataverseNO, V1
This dataset contains data for all experiments for the paper “Social Learning Strategies for Evolved Virtual Soft Robots”. Contains all relevant morphology- and controller data. Every experiment repetition contains files for Analysis and Replication/Continuation. See 00_README.md for a description of the files. Github repository to analyse or repli... |
Markdown Text - 3.2 KB -
MD5: 4b1622d656060f9e02114d24e0abd8d6
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ZIP Archive - 48.9 GB -
MD5: 661103dff367a315d5b5f669cdd8d2a2
Main data folder |
Apr 6, 2026 - NTNU – Norwegian University of Science and Technology
Gerhard, Silas Merlin; Mauseth, Frank; Hestad, Øystein; Doedens, Espen; Jarvid, Markus, 2025, "Data for: Lifetime Estimation based on HVDC Breakdown Strength of Thin Films Peeled from Fresh and PQ-Tested 525 kV DC-XLPE Cables", https://doi.org/10.18710/GNFRHZ, DataverseNO, V2
This dataset is considered an add-on to a conference paper. The information in the paper are in part crucial to understand the dataset. The dataset contains raw data, processed data and additional diagrams to the study described in the paper. |
