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87 results for “model diagnostics”
MERRA-2 tavg3_3d_mst_Nv: 3d,3-Hourly,Time-Averaged,Model-Level,Assimilation,Moist Processes Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NVMST) at GES DISC
M2T3NVMST (or tavg3_3d_mst_Nv) is a 3-dimensional 3-hourly time averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilated moist processes diagnostics at 72 model layers, such as convective rainwater source, large scale rainwater source, evap subl of convective precipitation, and evap subl of non convective precipitation. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=72 is for the bottom (or surface) model layer. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file.MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list.Questions: If you have a question, please read "MERRA-2 File Specification Document", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).
MERRA-2 tavg3_3d_mst_Ne: 3d,3-Hourly,Time-Averaged,Model-Level Edge,Assimilation,Moist Processes Diagnostics 0.625 x 0.5 degree V5.12.4 (M2T3NEMST) at GES DISC
M2T3NEMST (or tavg3_3d_mst_Ne) is a 3-dimensional 3-hourly time-averaged data collection in Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2). This collection consists of assimilations of moisture processes diagnostics at the 73 model layer edges. The parameters include cumulative mass flux, 3D flux of liquid (or ice) convective (or nonconvective) precipitation, and model layer edge pressure. The data field is available every three hour starting from 01:30 UTC, e.g.: 01:30, 04:30, … , 22:30 UTC. Section 4.2 of the MERRA-2 File Specification document provides pressure values nominal for a 1000 hPa surface pressure and refers to the top edge of the layer. The lev=1 is for the top layer, and lev=73 is for the bottom (or surface) model layer edge. MERRA-2 is the latest version of global atmospheric reanalysis for the satellite era produced by NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. The dataset covers the period of 1980-present with the latency of ~3 weeks after the end of a month. Data Reprocessing: Please check “Records of MERRA-2 Data Reprocessing and Service Changes” linked from the “Documentation” tab on this page. Note that a reprocessed data filename is different from the original file.MERRA-2 Mailing List: Sign up to receive information on reprocessing of data, changing of tools and services, as well as data announcements from GMAO. Contact the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov) to be added to the list.Questions: If you have a question, please read "MERRA-2 File Specification Document", “MERRA-2 Data Access – Quick Start Guide”, and FAQs linked from the ”Documentation” tab on this page. If that does not answer your question, you may post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).
A serum exosomal microRNA-based artificial intelligence diagnostic model for highly accurate detection of hepatocellular carcinoma [RNA-seq]
GEO Series GSE298745. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Comparison of DNA Methylation Based Classification Models for Precision Diagnostics of Central Nervous System Tumors
GEO Series GSE276299. Homo sapiens. 950 samples. Type: Methylation profiling by genome tiling array.
Novel microfluidic platform isolates single cells from tissue faster and more thoroughly for single cell diagnostics and primary culture models.
GEO Series GSE163508. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Urinary MicroRNA-based Diagnostic Model for Central Nervous System Tumors Using Nanowire Scaffolds
GEO Series GSE145510. Homo sapiens. 217 samples. Type: Non-coding RNA profiling by array.
Application of large language models in radiology: evaluating longitudinal diagnostic yield of imaging for abdominal pain.
<p>Annotated dataset belonging to the paper "Application of large language models in radiology: evaluating longitudinal diagnostic yield of imaging for abdominal pain".</p>
A foundation model for enhancing magnetic resonance images and downstream segmentation, registration and diagnostic tasks
<p>Training and testing samples used for BME-X model: testing_data.hdf5, training_data.hdf5</p> <p>Templates for histogram matching before model testing: Template_T?_*.???</p> <p>Testing image: test_24m.???</p>
Deep Learning-based sbORN Diagnostic Model
ClinicalTrials.gov study NCT06463392. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Resistance Characteristics and Development of Diagnostic Model for Postoperative UTI in Patients With Kidney Stones
ClinicalTrials.gov study NCT06946667. IPD Sharing: Not stated. Countries: 1. Publications: 0.
External Validation of the Beta-lactam Target Non-attainment (BATMAN) Risk Score in Adult ICU Patients: a Diagnostic Multivariate Predictive Risk Model
ClinicalTrials.gov study NCT05542771. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of a Retrieval Augmented Large Language Model as a Diagnostic Copilot in Rheumatology
ClinicalTrials.gov study NCT07166692. IPD Sharing: NO. Countries: 1. Publications: 0.
Tongue Image Database and Diagnostic Model for Digestive Tract Disease Diagnosis
ClinicalTrials.gov study NCT05182983. IPD Sharing: NO. Countries: 1. Publications: 0.
Cost Effective Non Invasive Diagnostic Modalities and Predictive Model for Development and Progression of Fibrosis Among Patients With Hepatitis B, Hepatitis C Infection or Non Alcoholic Fatty Liver D
ClinicalTrials.gov study NCT02658786. IPD Sharing: NO. Countries: 1. Publications: 0.
The Diagnostic and Triage Capacity of Laypeople-large Language Model Collaboration in China
ClinicalTrials.gov study NCT07250516. IPD Sharing: NO. Countries: 1. Publications: 0.
Non-invasive Diagnostic Model of Liver Fibrosis Associated With NAFLD and Prediction of Prognosis
ClinicalTrials.gov study NCT03842748. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Use of Low-cost Molecular Diagnostic Techniques as a New Surveillance Model for Diseases Preventable by Vaccinations.
ClinicalTrials.gov study NCT06322277. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Construction of Molecular Diagnostic Marker Model for Pancreatic Cystic Tumors Based on Pancreatic Cystic Fluid Samples
ClinicalTrials.gov study NCT05737953. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Establish Diagnostic Models Based on Olfactory Function and Odor-induced Brain Activation for Diabetes-Related Cognitive Impairment
ClinicalTrials.gov study NCT05543967. IPD Sharing: YES. Countries: 1. Publications: 0.
Establish Diagnostic Models Based on Portal Venous Blood for Pancreatic Cancer
ClinicalTrials.gov study NCT04536220. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.