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61 to 70 of 468 Results
Aug 1, 2024
Noad, Hilary, 2024, "Controllable suppression of the unconventional superconductivity in bulk and thin-film Sr2RuO4 via high-energy electron irradiation (dataset)", https://doi.org/10.17617/3.Z1LPW4, Edmond, V1
Figure data supporting the publication "Controllable suppression of the unconventional superconductivity in bulk and thin-film Sr2RuO4 via high-energy electron irradiation."
Jul 26, 2024
Liuzzo, Pietro Maria, 2024, "Fotothek Availability Lists", https://doi.org/10.17617/3.VSBQ70, Edmond, V1
See readme.md.
Jul 12, 2024
Elham Nourani, 2023, "Energy landscape Ontogeny", https://doi.org/10.17617/3.FM4EJC, Edmond, V2
Jul 2, 2024
Tautz, Diethard, 2024, "Full-length RNA transcript sequencing traces brain isoform diversity in house mouse natural populations", https://doi.org/10.17617/3.3RLIHR, Edmond, V1
Using a newly developed full-length transcripts enrichment protocol with 5’ CAP selection, we sequenced full-length RNA transcripts of 48 individuals from outbred populations and subspecies of Mus musculus, and from the closely related sister species Mus spretus and Mus spicilegus as outgroups. The dataset represents the most extensive full-length...
Jul 1, 2024
Antje Janosch; Carolin Kaffka; Bickle, Marc, 2024, "Unbiased Phenotype Detection Using Negative Controls data set", https://doi.org/10.17617/3.US5BBT, Edmond, V1
Phenotypic screens using automated microscopy allow comprehensive measurement of the effects of compounds on cells due to the number of markers that can be scored and the richness of the parameters that can be extracted. The high dimensionality of the data is both a rich source of information and a source of noise that might hide information. Many...
Jun 26, 2024
Gonthier, Julien, 2024, "Data repository for the paper "Plastic deformation and heat-enabled structural recovery of monolithic silica aerogels"", https://doi.org/10.17617/3.MAZXUW, Edmond, V1
This data repository contains the raw and processed data related to the manuscript "Plastic deformation and heat-enabled structural recovery of monolithic silica aerogels". Users willing to download the complete dataset could do so by using automated download tools. This would allow them to conserve more easily the structure of the dataset, and to...
May 27, 2024
Middelkoop, Teije, 2024, "Data for paper 'A cytokinetic ring-driven cell rotation achieves Hertwig's rule in early development'", https://doi.org/10.17617/3.WPVJHQ, Edmond, V1
Raw microscopy data for 'A cytokinetic ring-driven cell rotation achieves Hertwig's rule in early development', accepted for publication in PNAS, 2024. The data is organized by figure/subfigure and for each figure there is a separate 'notes.txt' file with explanatory text.
May 8, 2024
Gonthier, Julien, 2024, "Lab-source µCT quantitative imaging of silica aerogels during evaporative drying", https://doi.org/10.17617/3.OYI3T9, Edmond, V2
This repository contains the raw data, processed data and python scripts related to the quantitative imaging and modeling of in-operando X-ray micro-computed tomography (µCT) measurements applied to the evaporative drying of silica aerogels. The dataset are linked to two publications (see repository metadata). It also contains the raw data, process...
May 7, 2024
naik, Hemal; Chan, Alex Hoi Hang; Yang, Junran; Delacoux, Mathilde; Couzin, D. Iain; Kano, Fumihiro; Nagy, Mate, 2023, "3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture", https://doi.org/10.17617/3.HPBBC7, Edmond, V6
The 3DPOP dataset is a large scale 2D to 3D posture, identity and trajectory dataset for freely moving pigeons. We use marker-based motion tracking to first track precise head and body position and orientation for multiple individuals, then propagated custom keypoints based on the relative positions of markers and keypoints.
May 6, 2024
Mohan, Mayumi; Nunez, Cara M.; Kuchenbecker, Katherine J., 2024, "Data for “Closing the Loop in Minimally Supervised Human-Robot Interaction: Formative and Summative Feedback"", https://doi.org/10.17617/3.UPWT1Q, Edmond, V1
This Excel file provides the data required to perform the statistical analyses presented in the manuscript: "Closing the Loop in Minimally Supervised Human-Robot Interaction: Formative and Summative Feedback". Each of the nine included sheets contains a different subset of the collected data.
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