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CollectionArt of Science
- UC San Diego Library Art of Science contest submissions.
- Date: 2021 to present
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CollectionData from: A Regional High Resolution AI Weather Model for the Prediction of Atmospheric Rivers and Extreme Precipitation
- Precipitation forecasts generated by AI models.
- Date: 2025-03 to 2025-05
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CollectionData from: A Crystalline Annelated Pyridin-1-ylidene and Its Isomerization into a Pyridin-3-ylidene
- All output files for modeling the mechanism of HMDS-catalyzed carbene regioisomerization, as well as electronic structure calculations for comparing relevant model pyridinlyidenes.
- Date: 2025
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CollectionExperiments for Optical Fiber Geophysical Sensors
- Data from a Time Division Multiplexing experiment on optics-based geophysical sensors.
- Date: 2024-10-22 to 2024-10-22
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CollectionQuantification of norovirus GII in the Tijuana River estuary with ddPCR
- This collection contains quantification of norovirus GII via ddPCR for the Tijuana River estuary.
- Date: 2024-06-01
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CollectionData from: Singlet Carbenes are Stereoinductive Main Group Ambiphiles
- All output files for reactants, products, reaction intermediates, and transition states involved in insertion of chiral cyclic(alkyl)(amino)carbenes to E-H bonds. Additionally, output files from the simulation of NMR spectra for select products.
- Date: 2024-05 to 2025-01
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CollectionA dataset of chronic nicotine-induced genes in HCC38 breast cancer cells
- These data added value to our original research article by providing an unbiased view of the number and class of genes upregulated by nicotine in breast cancer cells.
- Date: 2024
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CollectionData from: A new method for diagnosing effective radiative forcing from aerosol-cloud interactions in climate models
- This dataset includes a new method for estimating shortwave ERFaci from liquid clouds using cloud radiative kernels and MODIS joint histograms, offering insights into the Twomey effect, liquid water path, and cloud fraction adjustments.
- Date: 2024
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CollectionData from: Are AI weather models learning atmospheric physics? A sensitivity analysis of cyclone Xynthia
- This collection contains the data for the manuscript titled "Are AI Weather Models Learning Atmospheric Physics? A Sensitivity Analysis of Cyclone Xynthia", which is necessary to reproduce the results presented.
- Date: 2024
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CollectionData from: Quantifying Bioluminescent Light Intensity in Breaking Waves using Numerical Simulations
- This collection features velocity, volume fraction, and velocity gradient data interpolated onto a uniform Cartesian grid, along with Basilisk code for simulating breaking waves and Julia code for simulating bioluminescence.
- Date: 2024
Library Digital Collections