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223 results for “model ice”
Modeling the Impact of Secondary Ice Production on the Charge Structure of a Mesoscale Convective System: Dataset
<p>radar reflectivity image</p>
Developing and bounding ice particle mass-and area-dimension expressions for use in atmospheric models and remote sensing
<p>Ice particle mass- and projected area-dimension (<em>m</em>-<em>D</em> and <em>A</em>-<em>D</em>) power laws are commonly used in the treatment of ice cloud microphysical and optical properties and the remote sensing of ice cloud properties. Although there has long been evidence that a single <em>m</em>-<em>D</em> or <em>A</em>-<em>D</em> power law is often not valid over all ice particle sizes, few studies have addressed this fact. This study develops self-consistent <em>m</em>-<em>D</em> and <em>A</em>-<em>D</em> expressions that are not power laws but can easily be reduced to power laws for the ice particle size (maximum dimension or <em>D</em>) range of interest, and they are valid over a much larger <em>D</em> range than power laws. This was done by combining ground measurements of individual ice particle <em>m</em> and <em>D</em> formed at temperature <em>T</em>  <  −20 °C during a cloud seeding field campaign with 2-D stereo (2D-S) and cloud particle imager (CPI) probe measurements of <em>D</em> and <em>A</em>, and estimates of <em>m</em>, in synoptic and anvil ice clouds at similar temperatures. The resulting <em>m</em>-<em>D</em> and <em>A</em>-<em>D</em> expressions are functions of temperature and cloud type (synoptic vs. anvil), and are in good agreement with <em>m</em>-<em>D</em> power laws developed from recent field studies considering the same temperature range (−60 °C  <  <em>T</em>  <  −20 °C).</p>
EAMv1 outputs Macquarie Island- Long-term variability in immersion-mode marine ice-nucleating particles from climate model simulations and observations
<p>EAMv1 outputs for the ACP publication </p> <p>https://acp.copernicus.org/articles/23/5735/2023/acp-23-5735-2023.pdf</p> <p>We have archived the outputs from the EAMv1 control simulations. </p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.