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23 results for “3s”

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zenodo40/100

3S-GEOPROF-COMB: A Global Gridded Dataset for Cloud Vertical Structure from combined CloudSat and CALIPSO observations

<p>Global cloud dataset from combined spaceborne radar and lidar.</p> <p>This repository contains the 3S-GEOPROF-COMB product, a globally-gridded dataset for cloud vertical structure retrieved from hybrid active remote sensing (CloudSat radar and CALIPSO lidar) reported at 240 m vertical resolution. Science variables include vertical cloud fraction and vertically-integrated cloud cover for various geometrical criteria (i.e. high, middle, low, and thick clouds, along with with unique high, middle, and low cloud cover variants).</p> <p>A Python notebook showing how to work with the dataset is available <a href="https://github.com/bertrandclim/3S-GEOPROF-COMB/blob/main/notebooks/brief_intro.ipynb">on GitHub</a>, as is the source code used to produce the data product.</p> <p>Our product is calculated from the latest release (R05) of per-orbit (level 2) combined cloud mask profiles in 2B-GEOPROF-LIDAR with additional data from 2B-GEOPROF. Validation and a complete description of the data product is given in the paper <a href="https://doi.org/10.5194/essd-16-1301-2024">"A Global Gridded Dataset for Cloud Vertical Structure from Combined CloudSat and CALIPSO Observations"</a> (Earth System Science Data).</p> <p>Please cite "Bertrand, L., Kay, J. E., Haynes, J., and de Boer, G.: A global gridded dataset for cloud vertical structure from combined CloudSat and CALIPSO observations, Earth Syst. Sci. Data, 16, 1301&ndash;1316, https://doi.org/10.5194/essd-16-1301-2024, 2024."</p> <p>The files contained in each folder are given via the following format:</p> <p><strong>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; instruments_frequency_resolution.zip</strong></p> <ul> <li><strong>instruments:</strong> <ul> <li><strong>radarlidar:</strong> the standard product, computed from merged geometrical profiles of hydrometeor occurrence</li> <li><strong>radaronly:</strong> computed solely from CloudSat radar profiles, otherwise processing is identical. For when users need to determine which instrument is responsible for observations of interest.</li> <li><strong>lidaronly: </strong>computed solely from CALIPSO lidar profiles, otherwise processing is identical. For when users need to determine which instrument is responsible for observations of interest.</li> </ul> </li> <li><strong>frequency:</strong> <ul> <li><strong>monthly:</strong> data files report fields aggregated over a 1-month period</li> <li><strong>seasonal:</strong> data files report fields aggregated over a 3-month period (DJF, MAM, JJA, SON)</li> </ul> </li> <li><strong>resolution:</strong> <ul> <li><strong>2.5x2.5: </strong>each grid box spans 2.5 degrees latitude and 2.5 degrees longitude</li> <li><strong>5x5:</strong> each grid box spans 5 degrees latitude and 5 degrees longitude</li> <li><strong>10x10:</strong> each grid box spans 10 degrees latitude and 10 degrees longitude</li> </ul> </li> </ul> <p>Each folder contains a netCDF data file and a cloud cover quicklook plot image file for each time period over the 2006-2019 data record. Individual files are named according to the following format:</p> <p><strong>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; timeperiod_instruments_datastream_version.nc (or .png)</strong></p> <ul> <li><strong>timeperiod: </strong>the time step at the given frequency, either e.g. 2006-08 (August 2006) or 2012-DJF (December 2012 to February 2013).</li> <li><strong>instruments</strong><strong>:</strong> the instruments used in the data product as a whole, always CSCAL (CloudSat and CALIPSO).</li> <li><strong>datastream:</strong> either 3S-GEOPROF-COMB (COMBined radar and lidar), 3S-GEOPROF-COMB-RO (the auxiliary Radar Only variant of the product), or 3S-GEOPROF-COMB-LO (the auxiliary Lidar Only variant of the product)</li> <li><strong>version:</strong> current release is v8.4</li> </ul> <p>The product handles the 2011 CloudSat battery anomaly, after which the satellite only collects data in the sunlit portion of its orbit, by allowing users to subsample the pre-anomaly period to mimic the post-anomaly collection patterns. This allows users to estimate the effect of the reduced sampling on their analyses or apply a consistent sampling mode to the entire dataset. This option is provided to users via the "<strong>doop</strong>" dimension. Dimension coordinate value "All cases" reports variables computed using all observations, while "DO-OP observable" reports variables using only input data that either were or would have been collected in DO-OP mode (i.e. the pre-DO-OP period is subsampled to DO-OP collection patterns).</p>

opencc-by-4.0Jun 2023View details →
zenodo36/100

Dataset - Improved Isolation of Microbiologically Produced (2R,3S)-Isocitric Acid by Adsorption on Activated Carbon and Recovery with Methanol

<p>This dataset in form of an Excel-format contains the data of the journal article &ldquo;Improved Isolation of Microbiologically Produced Isocitric Acid by Adsorption on Activated Carbon and Recovery with Methanol&rdquo;. The dataset shows the values of different experiments, calculations carried out for this publication.</p>

opencc-by-nc-nd-4.0May 2018View details →
ClinicalTrials.gov32/100

Cord Blood Plus Vitamin D and Omega 3s in T1D

ClinicalTrials.gov study NCT00873925. IPD Sharing: Not stated. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

A Smart Self-Management Support Programme (3S) to Improve Quality of Life in Lung Cancer Patients

ClinicalTrials.gov study NCT06377124. IPD Sharing: NO. Countries: 1. Publications: 5.

closedIPD-NOFeb 2026View details →
zenodo28/100

Fig. 3S in Pheretima baracatanensis Aspe & James 2017, new species

Fig. 3S. Distribution map of F. emucronata and F. atypica in Romania.

opennotspecifiedDec 2017View details →
nasa28/100

BOREAS Level-3S SPOT Imagery: Scaled At-Sensor Radiance in LGSOWG Format

For BOREAS, the level-3s SPOT data, along with the other remotely sensed images, were collected in order to provide spatially extensive information over the primary study areas. This information includes radiant energy, detailed land cover, and biophysical parameter maps such as FPAR and LAI. The SPOT images acquired for the BOREAS project were selected primarily to fill temporal gaps in the Landsat TM image data collection. CCRS collected and supplied the level-3s images to BORIS for use in the remote sensing research activities. Spatially, the level-3s images cover 60-by 60-km portions of the BOREAS NSA and SSA. Temporally, the images cover the period of 17-Apr-1994 to 30-Aug-1996. The images are available in binary image format files. Companion files include (1) an image inventory listing to inform users of the images that are available and (2) example thumbnail images.

restrictednotspecifiedApr 2025View details →
nasa28/100

BOREAS Landsat TM Level-3s Imagery: Scaled At-Sensor Radiance in LGSOWG Format

For BOREAS, the level-3s Landsat TM data, along with the other remotely sensed images, were collected in order to provide spatially extensive information over the primary study areas. This information includes radiant energy, detailed land cover, and biophysical parameter maps such as FPAR and LAI. CCRS collected and supplied the level-3s images to BOREAS for use in the remote sensing research activities. Geographically, the bulk of the level-3s images cover the BOREAS NSA and SSA with a few images covering the area between the NSA and SSA. Temporally, the images cover the period of 22-Jun-1984 to 30-Jul-1996. Companion files include (1) an image inventory listing to inform users of the images that are available and (2) example thumbnail images that may be viewed using a convenient viewer utility.

restrictednotspecifiedApr 2025View details →
geo24/100

3S-DB: SBP2-Bound RNA Sequencing for the Discovery of Novel Functional SECIS Elements

GEO Series GSE284231. Homo sapiens. 18 samples. Type: Other.

openGEO-OpenOct 2025View details →
geo24/100

Physical and functional interaction between the SET1 complex component CFP-1/CXXC and the Sin-3S/HDAC complex in C. elegans embryos

GEO Series GSE110072. Caenorhabditis elegans. 11 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2019View details →
ClinicalTrials.gov24/100

Study to Evaluate the Performance of a New 2-piece Ostomy Appliance vs. Flexima® 3S in Patients With Enterostomy

ClinicalTrials.gov study NCT03572673. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Open-label, Phase I/IIa Study of VAC-3S in HIV-1 Patients Who Showed an Immune Response to VAC-3S During IVVAC-3S/P1

ClinicalTrials.gov study NCT02390466. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Efficacy of the Dreem 3S Ambulatory Sleep Monitoring Device for the Evaluation of Narcolepsy

ClinicalTrials.gov study NCT06531876. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Assessment of VAC-3S Therapeutic Properties When Combined With Standard ART in the Course of HIV-1 Infection

ClinicalTrials.gov study NCT02041247. IPD Sharing: Not stated. Countries: 3. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Mass Balance of Orally Administered [14C] (3S,4S,5R)-1,3,4,5,6-pentahydroxy-hexan-2-one

ClinicalTrials.gov study NCT06230900. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Phase I/IIa Dose-escalation Clinical Study of VAC-3S

ClinicalTrials.gov study NCT01549119. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Study on the Stoma Appliance Flexima®/Softima® 3S

ClinicalTrials.gov study NCT03133585. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
geo20/100

Differential gene expression in W614A-3S peptide-specific B cell populations following W614A-3S peptide-KLH vaccination using Squalene emulsion and Alum formulation

GEO Series GSE198952. Mus musculus. 8 samples. Type: Expression profiling by RT-PCR.

openGEO-OpenMar 2022View details →
geo20/100

Diversity of V(D)J repertoire of germinal center (GC) and non-germinal center (NGC) B cells following W614A-3S peptide-KLH vaccination using Squalene emulsion and Alum formulation

GEO Series GSE198883. Mus musculus. 4 samples. Type: Other.

openGEO-OpenMar 2022View details →
ClinicalTrials.gov20/100

Preventing Tobacco Relapse With Omega-3s Trial

ClinicalTrials.gov study NCT03113370. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →
openaire8/100

doi_dedup___::61f2da49d74fab7173293f127d1e01fe

Open the record for dataset details and reuse information.

OPENJan 2021View details →

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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.

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OpenNeuro

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