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870 results for “Model development”
Modeling human limb skeletal development using human pluripotent stem cell-derived skeletal assembloids [CUT&Tag]
GEO Series GSE288046. Homo sapiens. 16 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Modeling human limb skeletal development using human pluripotent stem cell-derived skeletal assembloids [scRNA-seq]
GEO Series GSE288045. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Exploration of the genes affecting the compound acting against emphysema development in a mouse model of elastase-induced emphysema.
GEO Series GSE85962. Mus musculus. 5 samples. Type: Expression profiling by array.
miRNAs regulate lung development and surfactant homeostasis via directly targeting SFTPC and TTF-1 in reprogramming-derived bovine model of NRDS
GEO Series GSE87861. Bos taurus. 2 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Development of an improved in vitro model of bovine trophectoderm differentiation
GEO Series GSE200216. Bos taurus. 8 samples. Type: Expression profiling by high throughput sequencing.
Investigation of the molecular effects of a dexpanthenol-containing ointment and liquid in the aftercare treatment of acute radiodermatitis and mucositis using newly developed 3D models for both skin
GEO Series GSE150738. Homo sapiens. 6 samples. Type: Expression profiling by array.
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>
Development and validation of a prediction model using sella magnetic resonance imaging-based radiomics and clinical parameters for diagnosis of growth hormone deficiency and idiopathic short stature: A multicenter, cross-sectional study
Open the record for dataset details and reuse information.
Developing a Physics-informed Deep Learning Model to Simulate Runoff Response to Climate Change in Alpine Catchments
<p>This data archive includes daily basin average forcing data (consisting of precipitation, temperature, potential evapotranpiration, air pressure, relative humidity, and wind speed), as well as simulated daily runoff (mm/d) of five models during 1960‒2019 at the three subbasins in the source region of the Yellow River. For more details please see the publication.</p>
dataset related to project: development of a prediction model for the identification of COVID-19 patients at risk of clinical deterioration in the ED
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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.