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165 results for “MAT”
Fig. 1 in The ichthyofauna of drifting macrophyte mats in the Ivinhema River, upper Paraná River basin, Brazil
Fig. 1. Map of the floodplain section of the upper Paraná River included in this study, identifying the Ivinhema River and the approximate location where the drifting macrophyte mats were intercepted.
SI.V1a.Butylamine-mat NFm-6-ES
<p>SI.V1a.Butylamine-mat NFm-6-ES</p>
SI.V1b.Butylamine-mat NFm-6-casting
<p>SI.V1b.Butylamine-mat NFm-6-casting.mp4</p>
SI.V2b.Isopropylamine-mat NFm6-Es
<p>SI.V2b.Isopropylamine-mat NFm6-Es</p>
SI.V2a.Methylamine-mat NFm6-Es
<p>SI.V2a.Methylamine-mat NFm6-Es</p>
SI.V1d.Butylamine-mat NFm-6 comparison
<p>SI.V1d.Butylamine-mat NFm-6 comparison</p>
SI.V2c.Piperidine-mat NFm6-Es
<p>SI.V2c.Piperidine-mat NFm6-Es</p>
Fig. 3. Key NOESY correlations for compounds 1–10 in Lanostane-type triterpenoids from the mycelial mat of Ganoderma lucidum and their hepatoprotective activities
Fig. 3. Key NOESY correlations for compounds 1–10.
Fig. 2. Key 1H–1H in Lanostane-type triterpenoids from the mycelial mat of Ganoderma lucidum and their hepatoprotective activities
Fig. 2. Key 1H–1H COSY and HMBC correlations of compounds 1–10.
Fig. 1 in Lanostane-type triterpenoids from the mycelial mat of Ganoderma lucidum and their hepatoprotective activities
Fig. 1. Structures of compounds 1–31.
A Follow-up Study to Describe the Safety of Study Participants Who Received RSVPreF3 Maternal Vaccination (Any Dose) or Controls From Previous RSV MAT Studies During Any Pregnancy Conceived Post Vacci
ClinicalTrials.gov study NCT05705440. IPD Sharing: YES. Countries: 23. Publications: 0.
Effectiveness of Mat Pilates Exercises in Individuals With Chronic Nonspecific Low Back Pain
ClinicalTrials.gov study NCT02922322. IPD Sharing: NO. Countries: 0. Publications: 13.
Evaluating a Mat-Based Biometric Vibration System for Sleep and Daily Recovery
ClinicalTrials.gov study NCT07221318. IPD Sharing: NO. Countries: 1. Publications: 0.
Technology for MAT in Primary Care - Phase 2
ClinicalTrials.gov study NCT05017272. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Halloysite nanotube-based electrospun ceramic nanofibre mat: a novel support for zeolite membranes
Open the record for dataset details and reuse information.
AIRS-AMSU variables-CloudSat cloud mask, radar reflectivities, and cloud classification matchups V3.2 (AIRSM_CPR_MAT) at GES DISC
This is AIRS-CloudSat collocated subset, in NetCDF 4 format. These data contain collocated: AIRS/AMSU retrievals at AMSU footprints, CloudSat radar reflectivities, and MODIS cloud mask. These data are created within the frames of the MEaSUREs project.The basic task is to bring together retrievals of water vapor and cloud properties from multiple "A-train" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, CloudSat), classify each "scene" (instrument look) using the cloud information,and develop a merged, multi-sensor climatology of atmospheric water vapor as afunction of altitude, stratified by the cloud classes. This is a large scienceanalysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, findspace/time "matchups" between pairs of instruments, and process years ofsatellite data to produce the climate data records.The short name for this collection is AIRSM_CPR_MATParameters contained in the data files include the following:Variable Name|Description|Units CH4_total_column|Retrieved total column CH4| (molecules/cm2) CloudFraction|CloudSat/CALIPSO Cloud Fraction| (None) CloudLayers| Number of hydrometeor layers| (count) clrolr|Clear-sky Outgoing Longwave Radiation|(Watts/m**2) CO_total_column|Retrieved total column CO| (molecules/cm2) CPR_Cloud_mask| CPR Cloud Mask |(None) Data_quality| Data Quality |(None) H2OMMRSat|Water vapor saturation mass mixing ratio|(gm/kg) H2OMMRStd|Water Vapor Mass Mixing Ratio |(gm/kg dry air) MODIS_Cloud_Fraction| MODIS 250m Cloud Fraction| (None) MODIS_scene_var |MODIS scene variability| (None) nSurfStd|1-based index of the first valid level|(None) O3VMRStd|Ozone Volume Mixing Ratio|(vmr) olr|All-sky Outgoing Longwave Radiation|(Watts/m**2) Radar_Reflectivity| Radar Reflectivity Factor| (dBZe) Sigma-Zero| Sigma-Zero| (dB*100) TAirMWOnlyStd|Atmospheric Temperature retrieved using only MW|(K) TCldTopStd|Cloud top temperature|(K) totH2OStd|Total precipitable water vapor| (kg/m**2) totO3Std|Total ozone burden| (Dobson) TSurfAir|Atmospheric Temperature at Surface|(K) TSurfStd|Surface skin temperature|(K)End of parameter information
AIRS-CloudSat cloud mask, radar reflectivities, and cloud classification matchups V3.2 (AIRS_CPR_MAT) at GES DISC
This is AIRS-CloudSat collocated subset, in NetCDF-4 format. These data contain collocated: AIRS Level 1b radiances spectra, CloudSat radar reflectivities, and MODIS cloud mask. These data are created within the frames of the MEaSUREs project. The basic task is to bring together retrievals of water vapor and cloud properties from multiple "A-train" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, CloudSat), classify each "scene" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time "matchups" between pairs of instruments, and process years of satellite data to produce the climate data records.The short name for this collection is AIRS_CPR_MATParameters contained in the data files include the following:Variable Name|Description|Units CldFrcStdErr|Cloud Fraction|(None) CloudLayers| Number of hydrometeor layers| (count) CPR_Cloud_mask| CPR Cloud Mask| (None) DEM_elevation| Digital Elevation Map| (m) dust_flag|Dust Flag|(None) latAIRS|AIRS IR latitude|(deg) Latitude|CloudSat Latitude |(degrees) LayerBase| Height of Layer Base| (m) LayerTop| Height of layer top| (m) lonAIRS|AIRS IR longitude|(deg) Longitude|CloudSat Longitude| (degrees) MODIS_cloud_flag| MOD35_bit_2and3_cloud_flag| (None) Radar_Reflectivity| Radar Reflectivity Factor| (dBZe) radiances|Radiances|(milliWatts/m**2/cm**-1/steradian) Sigma-Zero| Sigma-Zero| (dB*100) spectral_clear_indicator|Spectral Clear Indicator|(None) Vertical_binsize|CloudSat vertical binsize| (m)End of parameter information
Yashica Mat - 124 G Camera
Hey, new model here. An Yashica Mat - 124 G Camera Modeled in Maya and baked in pixaflux. Texture in Substance painter. Source: Objaverse 1.0 / Sketchfab
Effect of Two Pilates-based Mat Exercise Programs on the Isometric Strength of Core Muscles in Healthy Men
ClinicalTrials.gov study NCT03830112. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Effects of Online Mat Pilates and Face-to-Face Equipment-Based Pilates on Pain, Kinesiophobia, and Balance in Individuals With Non-Specific Low Back Pain
ClinicalTrials.gov study NCT06946966. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
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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.