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75 results for “SLiM”
Peri-implant Tissues on the Galimplant Anti-rotational Slim Abutment.
ClinicalTrials.gov study NCT05118815. IPD Sharing: YES. Countries: 1. Publications: 0.
Slim Sheath 22F Holmium Laser Enucleation of the Prostate (HoLEP) vs 26 F Sheath HoLEP for BPH: RCT
ClinicalTrials.gov study NCT06546865. IPD Sharing: NO. Countries: 1. Publications: 0.
Safety and Efficacy of a Drug Eluting Slim Modiolar Electrode Array
ClinicalTrials.gov study NCT06598059. IPD Sharing: NO. Countries: 1. Publications: 0.
Different Limb Lengths in Gastric Bypass Surgery (SLIM) - Part 3: Metabolism and Inflammation
ClinicalTrials.gov study NCT05471037. IPD Sharing: Not stated. Countries: 1. Publications: 0.
SHAPE AND MOTION - Medical Accompanied Slimming
ClinicalTrials.gov study NCT03417674. IPD Sharing: NO. Countries: 1. Publications: 0.
SLIM: Combined Effects of Slo-Niacin and Atorvastatin on Lipoproteins and Inflammatory Markers in Hyperlipidemia
ClinicalTrials.gov study NCT00194402. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Peri-implant Tissues on Aesthetic Slim Abutment Galimplant (PSG)
ClinicalTrials.gov study NCT03796494. IPD Sharing: YES. Countries: 1. Publications: 0.
Effect of ANACA3 Slimming Gel on Loss of Abdominal and Thigh Circumferences in Healthy Volunteers
ClinicalTrials.gov study NCT03685656. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Maternal slimming reprograms metabolic gene expression in mice offspring (NimbleGen methylation)
GEO Series GSE40477. Mus musculus. 2 samples. Type: Methylation profiling by genome tiling array.
Maternal slimming reprograms metabolic gene expression in mice offspring (NimbleGen expression)
GEO Series GSE40471. Mus musculus. 9 samples. Type: Expression profiling by array.
Maternal slimming reprograms metabolic gene expression in mice offspring
GEO Series GSE40479. Mus musculus. 13 samples. Type: Expression profiling by array; Methylation profiling by genome tiling array; Expression profiling by high throughput sequencing.
Raw Acoustic data samples from hydrophone SLim Towed Array towed by marine robot acquired during STO-CMRE sea trials
<p>Sample raw acoustic datasets acquired from hydrophone array SLiTA (SLim Towed Array, specific for AUV applications) towed by marine autonomous vehicles (e.g, Autonomous Underwater Vehicles, AUVs) [*] during three STO-CMRE sea trials:</p> <ul> <li>PORTOPALO (2013), at Portopalo di Capo Passero, Sicily, Italy, on 18-19 February 2013</li> <li>COLLAB13, at Palmaria Island, La Spezia, Italy, on 30 June - 7 July 2013</li> <li>COLLAB14, at Massa, Italy, on 29-31 October 2014</li> </ul> <p>Access to this dataset is restricted to NATO and H2020 INFORE consortium. This data set is provided to INFORE consortium partners for the purposes of executing tasks under the INFORE Grant Agreement and may not be used for other purposes or further distributed.</p> <p>The creation of derived products, as well the use in scientific publications must be pre-approved by NATO STO CMRE and acknowledged.</p> <p>These data are available to partners of NATO Nations after the execution of the project on the basis of existing NATO policies and rules for data release, other memorandum of understanding and agreements, and on the basis of CMRE terms and conditions for data reuse.</p> <p>Acoustic raw data from SliTa array header specification is described in the Table below,</p> <table> <thead> <tr> <th> <p><strong>Field Name</strong></p> </th> <th> <p><strong>Data Type</strong></p> </th> <th> <p><strong>Description</strong></p> </th> </tr> </thead> <tbody> <tr> <td> <p>headersize</p> </td> <td> <p>int</p> </td> <td> <p>Size of header in bytes</p> </td> </tr> <tr> <td> <p>dataFormat</p> </td> <td> <p>int</p> </td> <td> <p>0 means 2’s complement; 1 means Offset Binary</p> </td> </tr> <tr> <td> <p>fs</p> </td> <td> <p>float</p> </td> <td> <p>Sampling Frequency [Hz]</p> </td> </tr> <tr> <td> <p>inputRange</p> </td> <td> <p>int</p> </td> <td> <p>Flag to determine the max voltage.<br> {3=10V, 2=5V, else 2.5V}</p> </td> </tr> <tr> <td> <p>gainHydPreamp</p> </td> <td> <p>float</p> </td> <td> <p>Preamplifier fain</p> </td> </tr> <tr> <td> <p>gainA2dAmp</p> </td> <td> <p>float</p> </td> <td> <p>A/D gain</p> </td> </tr> <tr> <td> <p>dataWidth</p> </td> <td> <p>int</p> </td> <td> <p>Flag to determine the number of bit per sample<br> {3=24bit, 2=20bit, 1=18bit, else 15bit}</p> </td> </tr> <tr> <td> <p>acqLength</p> </td> <td> <p>float</p> </td> <td> <p>Size (in seconds) on each block of data returned by A/D</p> </td> </tr> <tr> <td> <p>octave</p> </td> <td> <p>int</p> </td> <td> <p>Determine the array spacing:<br> {1=0.21m, 2=0.42, 3=0.84, 4=1.05m}</p> </td> </tr> <tr> <td> <p>pc_day</p> </td> <td> <p>int</p> </td> <td> <p>Day from PC time</p> </td> </tr> <tr> <td> <p>pc_month</p> </td> <td> <p>int</p> </td> <td> <p>Month from PC time</p> </td> </tr> <tr> <td> <p>pc_year</p> </td> <td> <p>int</p> </td> <td> <p>Year from PC time</p> </td> </tr> <tr> <td> <p>pc_hr</p> </td> <td> <p>int</p> </td> <td> <p>Hour from PC time</p> </td> </tr> <tr> <td> <p>pc_min</p> </td> <td> <p>int</p> </td> <td> <p>Minute from PC time</p> </td> </tr> <tr> <td> <p>pc_sec</p> </td> <td> <p>int</p> </td> <td> <p>Seconds from PC time</p> </td> </tr> <tr> <td> <p>gps_month</p> </td> <td> <p>int</p> </td> <td> <p>Month from GPS</p> </td> </tr> <tr> <td> <p>gps_day</p> </td> <td> <p>int</p> </td> <td> <p>Day from GPS</p> </td> </tr> <tr> <td> <p>gps_year</p> </td> <td> <p>int</p> </td> <td> <p>Year from GPS</p> </td> </tr> <tr> <td> <p>oex_hr</p> </td> <td> <p>int</p> </td> <td> <p>Hour from Frontseat PC</p> </td> </tr> <tr> <td> <p>oex_min</p> </td> <td> <p>int</p> </td> <td> <p>Minute from Frontseat PC</p> </td> </tr> <tr> <td> <p>oex_sec</p> </td> <td> <p>double</p> </td> <td> <p>Seconds from Frontseat PC</p> </td> </tr> <tr> <td> <p>lat_deg</p> </td> <td> <p>int</p> </td> <td> <p>Latitude [degrees]</p> </td> </tr> <tr> <td> <p>lat_min</p> </td> <td> <p>double</p> </td> <td> <p>Latitude [minutes]</p> </td> </tr> <tr> <td> <p>lon_deg</p> </td> <td> <p>int</p> </td> <td> <p>Longitude [degrees]</p> </td> </tr> <tr> <td> <p>lon_min</p> </td> <td> <p>double</p> </td> <td> <p>Longitude [minutes]</p> </td> </tr> <tr> <td> <p>heading</p> </td> <td> <p>float</p> </td> <td> <p>Size of header in bytes</p> </td> </tr> <tr> <td> <p>cog</p> </td> <td> <p>float</p> </td> <td> <p>0 means 2’s complement; 1 means Offset Binary</p> </td> </tr> <tr> <td> <p>depth</p> </td> <td> <p>float</p> </td> <td> <p>Sampling Frequency [Hz]</p> </td> </tr> <tr> <td> <p>altitude</p> </td> <td> <p>double</p> </td> <td> <p>Flag to determine the max voltage.<br> {3=10V, 2=5V, else 2.5V}</p> </td> </tr> <tr> <td> <p>sog(dm/s)</p> </td> <td> <p>int</p> </td> <td> <p>Preamplifier fain</p> </td> </tr> <tr> <td> <p>sow(dm/s)</p> </td> <td> <p>int</p> </td> <td> <p>A/D gain</p> </td> </tr> <tr> <td> <p>track_stat</p> </td> <td> <p>int</p> </td> <td> <p>Flag to determine the number of bit per sample<br> {3=24bit, 2=20bit, 1=18bit, else 15bit}</p> </td> </tr> <tr> <td> <p>fix_type</p> </td> <td> <p>int</p> </td> <td> <p>Size (in seconds) on each block of data returned by A/D</p> </td> </tr> <tr> <td> <p>pps_output</p> </td> <td> <p>int</p> </td> <td> <p>Determine the array spacing:<br> {1=0.21m, 2=0.42, 3=0.84, 4=1.05m}</p> </td> </tr> </tbody> </table> <p>[*] Alain Maguer, Rodney Dymond, Piero Guerrini, Luigi Troiano, Vittorio Grandi, Alberto Figoli, Claudio Olivero, Alessandro Sapienza, Stefano Fioravanti, John Potter Receiving and transmitting acoustic systems for AUV/gliders. Proceedings of the 3rd International Conference and Exhibition on Underwater Acoustic Measurements: Technologies and Results, 21-26 June, 2009, Nafplion, Greece. <a href="https://openlibrary.cmre.nato.int/bitstream/handle/20.500.12489/651/NURC-PR-2009-004.pdf">https://openlibrary.cmre.nato.int/bitstream/handle/20.500.12489/651/NURC-PR-2009-004.pdf</a></p>
Slimming Myokines, Cancers,Nutritional and Psychology Support
ClinicalTrials.gov study NCT05278078. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Evaluation of the Body Slimming Effect of TCI904
ClinicalTrials.gov study NCT05805488. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Mettl3-dependent m6A modification is essential for effector differentiation and memory formation of CD8+ T cells [SLIM-seq]
GEO Series GSE215761. Mus musculus. 18 samples. Type: Other.
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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)
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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.