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28 results for “Mops”
SBC LTER: Daily averages of modeled significant wave height (Hs) and peak wave period (Tp) in the Santa Barbara Coastal area from the Coastal Data Information Program - Monitoring and Prediction System (CDIP MOP)
From http://cdip.ucsb.edu: The Coastal Data Information Program (CDIP) is a research group at Scripps Institution of Oceanography that monitors coastal waves and nearshore sand levels on regional scales. CDIP maintains a network of optimally-placed, directional wave buoys from San Diego to Eureka. The buoy measurements are used to initialize a high spatial resolution (100m x 100m) linear spectral wave propagation model. The resulting hourly hindcasts and nowcasts of CA coastal wave conditions have a level of accuracy that is not possible with more traditional wind-wave generation models that are initialized with modeled wind fields.
Yearly CDIP:MOP-alongshore modeled wave statistics for California, January 2000 - July 2022
<p><strong>Overview</strong></p> <ul> <li>Yearly wave averages for all 11,594 CDIPS-MOPS alongshore sites in California.</li> <li>Sites are defined in the files "CDIP_Transects.csv" and "CDIP_Transects.geojson". The bounds of each site are listed in the file "CA_region_bounds.csv"</li> <li>Data are described here: https://cdip.ucsd.edu/documents/index/product_docs/mops/mop_intro.html</li> <li>Data are obtained from here: https://thredds.cdip.ucsd.edu/thredds/catalog.html</li> </ul> <p><strong>Methods</strong></p> <ul> <li>Data are computed from hourly inshore wave hindcasts and nowcasts. Data download script is the file "CDIP_MassDownloader.ipynb"</li> <li>wave summary statistics have been computed using the file "Create_stats.ipynb". All yearly data are simple averages (i.e. mean values) of the hourly data</li> </ul> <p><strong>Data files</strong><br> Data have been split into 25 regions, defined in "CA_regions.json"</p> <p>Data are provided in geoJSON format, in the form of one file per region, and one file for all regions</p> <p><strong>Data fields</strong></p> <ul> <li>Hs: significant wave height [meters]</li> <li>Tp: peak wave period [seconds]</li> <li>Ta: average wave period [seconds]</li> <li>Dp: peak wave direction [degrees]</li> <li>Da: average wave direction [degrees]</li> <li>Ea: wave energy density, averaged over wave frequencies</li> <li>Es: wave energy density, summed over wave frequencies</li> <li>QC: quality flag</li> <li>waveTime: UTC time string</li> <li>metaWaterDepth: water depth of modeled wave data (range is 10-15m)</li> </ul>
Monthly CDIP:MOP-alongshore modeled wave statistics for California, January 2000 - July 2022
<p><strong>Overview</strong></p> <ul> <li>Monthly wave averages for all 11,594 CDIPS-MOPS alongshore sites in California.</li> <li>Jan 2000 to July 2022 inclusive</li> <li>Sites are defined in the files "CDIP_Transects.csv" and "CDIP_Transects.geojson". The bounds of each site are listed in the file "CA_region_bounds.csv"</li> <li>Data are described here: https://cdip.ucsd.edu/documents/index/product_docs/mops/mop_intro.html</li> <li>Data are obtained from here: https://thredds.cdip.ucsd.edu/thredds/catalog.html</li> </ul> <p><strong>Methods</strong></p> <ul> <li>Data are computed from hourly inshore wave hindcasts and nowcasts. Data download script is the file "CDIP_MassDownloader.ipynb"</li> <li>wave summary statistics have been computed using the file "Create_stats.ipynb". All monthly data are simple averages (i.e. mean values) of the hourly data</li> </ul> <p><strong>Data files</strong></p> <ul> <li>Data have been split into 25 regions, defined in "CA_regions.json"</li> <li>Data are provided in geoJSON format, in the form of one file per region, and one file for all regions</li> </ul> <p><strong>Data fields</strong></p> <ul> <li>Hs: significant wave height [meters]</li> <li>Tp: peak wave period [seconds]</li> <li>Ta: average wave period [seconds]</li> <li>Dp: peak wave direction [degrees]</li> <li>Da: average wave direction [degrees]</li> <li>Ea: wave energy density, averaged over wave frequencies</li> <li>Es: wave energy density, summed over wave frequencies</li> <li>QC: quality flag</li> <li>waveTime: UTC time string</li> <li>metaWaterDepth: water depth of modeled wave data (range is 10-15m)</li> </ul>
On following pages: 81. Congo Free-tailed Bat (Mops congicus); 82. Mongalla Free-tailed Bat (Mops demonstrator); 83. Midas Free-tailed Bat (Mops midas); 84. Dwarf Free-tailed Bat (Mops nanulus); 85. Niangara Free-tailed Bat (Mops niangarae); 86. White-bellied Free-tailed Bat (Mops niveiventen; 87. Peterson's Free-tailed Bat (Mops peterson); 88. Spurrell's Free-tailed Bat (Mops spurrell)); 89. Railer Free-tailed Bat (Mops thersites); 90. Trevor's Free-tailed Bat (Mops trevor); 91. Malagasy White-bellied Free-tailed Bat (Mops leucostigma); 92. Malayan Free-tailed Bat (Mops mops); 93. Sulawesian Free-tailed Bat (Mops sarasinorum); 94. Harrison's Giant Mastiff Bat (Otomops harrisoni); 95. Large-eared Giant Mastiff Bat (Otomops martiensseni); 96. Madagascar Giant Mastiff Bat (Otomops madagascariensis); 97. Wroughton's Giant Mastiff Bat (Otomops wroughtoni); 98. Java Giant Mastiff Bat (Otomops formosus); 99. Johnstone's Giant Mastiff Bat (Otomops johnstonei); 100. Mantled Giant Mastiff Bat (Otomops secundus); 101. Papuan Giant Mastiff Bat (Otomops papuensis). in Molossidae
On following pages: 81. Congo Free-tailed Bat (Mops congicus); 82. Mongalla Free-tailed Bat (Mops demonstrator); 83. Midas Free-tailed Bat (Mops midas); 84. Dwarf Free-tailed Bat (Mops nanulus); 85. Niangara Free-tailed Bat (Mops niangarae); 86. White-bellied Free-tailed Bat (Mops niveiventen; 87. Peterson's Free-tailed Bat (Mops peterson); 88. Spurrell's Free-tailed Bat (Mops spurrell)); 89. Railer Free-tailed Bat (Mops thersites); 90. Trevor's Free-tailed Bat (Mops trevor); 91. Malagasy White-bellied Free-tailed Bat (Mops leucostigma); 92. Malayan Free-tailed Bat (Mops mops); 93. Sulawesian Free-tailed Bat (Mops sarasinorum); 94. Harrison's Giant Mastiff Bat (Otomops harrisoni); 95. Large-eared Giant Mastiff Bat (Otomops martiensseni); 96. Madagascar Giant Mastiff Bat (Otomops madagascariensis); 97. Wroughton's Giant Mastiff Bat (Otomops wroughtoni); 98. Java Giant Mastiff Bat (Otomops formosus); 99. Johnstone's Giant Mastiff Bat (Otomops johnstonei); 100. Mantled Giant Mastiff Bat (Otomops secundus); 101. Papuan Giant Mastiff Bat (Otomops papuensis).
Clinical Registry Assessment of the Missouri Osteochondral Allograft Preservation System - MOPS
ClinicalTrials.gov study NCT02503228. IPD Sharing: Not stated. Countries: 1. Publications: 21.
Comparison of Functional Results of ADM X3-MoP Cup (Stryker) and a CoC Cup (Zimmer) in Young Patients
ClinicalTrials.gov study NCT02301182. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Evaluation of the Hybrid Rapid Maxillary Expander Assisted With Micro-osteo Perforation (MOPs) in Adult.
ClinicalTrials.gov study NCT06467240. IPD Sharing: NO. Countries: 1. Publications: 2.
MARPE Effect With/Without MOP in Non-growing Patients
ClinicalTrials.gov study NCT06502041. IPD Sharing: NO. Countries: 1. Publications: 1.
method of homogeneous microzones in seismic perspective (MOPS) with geological-technical sections of reference for the subsoil model.
<p>Method of homogeneous microzones in seismic perspective (MOPS) with geological-technical sections of reference for the subsoil model.</p>
The chromatin structures of GMP-MoPs are shifted toward ones that favors an aberrant differentiation pathway generating GMP-MoPs from proNeu1 [ATAC-seq]
GEO Series GSE224100. Mus musculus. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Karlotta_Majolika_Mops_Filmpreis_Scan
A Film Award, by Majolika, scanned with the G423 3D Scanner by G423 and M4US Source: Objaverse 1.0 / Sketchfab
Biological Anchorage With Selective Micro-osteoperforations (MOPs) in Canine Distalization
ClinicalTrials.gov study NCT03741504. IPD Sharing: NO. Countries: 1. Publications: 0.
Flapless Mops for Acceleration of Canine Retraction
ClinicalTrials.gov study NCT04383600. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of Leveling and Alignment of Maxillary Anterior Teeth Assisted With MOPs :A Comparative Clinical Study
ClinicalTrials.gov study NCT05605652. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effect of MOPs During Orthodontic Movement in Periodontitis Patients
ClinicalTrials.gov study NCT06068270. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of Two Approaches of Micro-osteoperforations (MOPs) During Orthodontic Canine Retraction
ClinicalTrials.gov study NCT04868721. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Zimmer Continuum Metal on Polyethylene (MoP) PostMarket Clinical Followup (PMCF) Study
ClinicalTrials.gov study NCT01307384. IPD Sharing: NO. Countries: 1. Publications: 0.
Ribosome profiling of E. coli K-12 MG1655 MOPS rich media with 0.2% glucose
GEO Series GSE63858. Escherichia coli str. K-12 substr. MG1655. 2 samples. Type: Expression profiling by high throughput sequencing; Other.
GMP-MoPs can be classified as an independent cell type that differentiate from GMPs through proNeu1 without going through the MDP-cMoP pathway [scRNA-seq]
GEO Series GSE224701. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
GMP-MoPs display mixed gene expression profiles of both neutrophil and monocyte progenitors [RNAseq mouse]
GEO Series GSE224102. Mus musculus. 30 samples. Type: Expression profiling by high throughput sequencing.
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Allen Brain Atlas
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International Brain Laboratory public data
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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.