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39 results for “CDS”
FIGURE 1 from conference paper AIP Proceedings 2145 "Solid state synthesis of CdS quantum dots through laser direct writing"
<p>FIGURE 1 of the conference paper "Solid state synthesis of CdS quantum dots through laser direct writing"</p>
FIGURE 4 from conference paper AIP Proceedings 2145 "Solid state synthesis of CdS quantum dots through laser direct writing"
<p>The dataset includes two files: the word file describe the type of sample and the procedures used to pick up the data; the excel file includes the raw data used to obtain the plots of figure 4.</p> <p>in the following is reported the description of figure 4 as wrote in the paper.</p> <p>PL emission of CdDBX QDs synthetized with single pulses at 355 nm, 10 ps and pulse energy varied between 4.67 to 7.6 μJ. (a), (b) and (c) are respectively the emission in blue, green and red range as defined in methodology. Graph (d) shows the change of the ratio between the red and green emission from the same points.</p>
FIGURE 5 from conference paper AIP Proceedings 2145 "Solid state synthesis of CdS quantum dots through laser direct writing"
<p>The dataset contains two files: the word file describe the type of sample examined and the procedure used to obtain the DOIs used to obtain the plots. The second file is the excel file that includes the raw data used to obtain the plots reported in the figure 5 of the paper.</p> <p>In the following is reported the description of figure 5 as written in the paper:</p> <p>PL emission of CdDBX QDs synthetized with scanlines at 355 nm, 10 ps overlapping pulse of about 99.5% and</p> <p>pulse energy varied between 4.67 to 7.6 μJ. (a), (b) and (c) are respectively the emission in blue, green and red range as defined</p> <p>in methodology. Graph (d) shows the change of the ratio between the red and green emission from the same point. Point “X” is</p> <p>censored and not used to fit the model.</p>
GeneSeqToFamily - CDS
<p>Gene duplication is a major factor contributing to evolutionary novelty, and the contraction or expansion of gene families has often been associated with morphological, physiological and environmental adaptations. The study of homologous genes helps us to understand the evolution of gene families. It plays a vital role in finding ancestral gene duplication events as well as identifying genes that have diverged from a common ancestor under positive selection. There are various tools available, such as MSOAR, OrthoMCL and HomoloGene, to identify gene families and visualise syntenic information between species, providing an overview of syntenic regions evolution at the family level. Unfortunately, none of them provide information about structural changes within genes, such as the conservation of ancestral exon boundaries amongst multiple genomes. The Ensembl GeneTrees computational pipeline generates gene trees based on coding sequences and provides details about exon conservation, and is used in the Ensembl Compara project to discover gene families. </p>
CDS of Urochloa fusca transcriptome - whole seedling (except roots)
<p>The CDS data was obtained from transcriptome of above whole seedling (except roots) of 12 days old <em>Urochloa fusca</em> seedlings.</p>
Practice Facilitation to Scale up a CDS for Hypertension Management
ClinicalTrials.gov study NCT05588466. IPD Sharing: YES. Countries: 1. Publications: 1.
(CONCERN) Clinical Decision Support (CDS) System
ClinicalTrials.gov study NCT03911687. IPD Sharing: NO. Countries: 1. Publications: 95.
Large Scale Computational Analysis of Coding and Non-coding Element Expression in Mycobacterium tuberculosis Unannotated CDS
<p>Large Scale Computational Analysis of Coding and Non-coding Element Expression in Mycobacterium tuberculosis Unannotated CDS data for the Applied Medical Science MSci Research Project. </p>
6255 gene alignments of Asellidae CDS
<p>Families of orthologous genes used in "<strong>No evidence that nitrogen limitation influences the elemental composition of isopod transcriptomes and proteomes"</strong></p> <p>The 6,255 alignments used in this publication are archived here. Each alignment corresponds to one "pattern" (~ gene family, except when one family X is composed of several patterns = e.g. multigenic family). Each alignment includes between 2 and 26 species. These alignments have been created with:</p> <ul> <li>prank -codon -F</li> <li>GBlocks -b5=h (to allow some gaps)</li> </ul> <p>Alignment are named according to the corresponding family_pattern, e.g. "FAM003424_1.fas.prank_codon.best.fas-gb.bis" corresponds to the family "003424" and the pattern "1". They are composed of several fasta sequences, each sequence corresponding to one species. The name of each fasta sequence starts with the species code (e: BMOV, PCANC) in upper letters. Gaps are present ("----"). ATTENTION: species order differs in each alignment!</p> <p> </p> <p>Table of the correspondance species - code:</p> <p>Species Code couple eco<br /> P. beticus PBTS c1 epi<br /> P. jaloniacus PJJ c1 hypo<br /> P. aragonensis PARE c2 epi<br /> P. spelaeus PSSE c2 hypo<br /> B. peltatus BPM c3 epi<br /> B. molinai BMOV c3 hypo<br /> P. ibericus PIBB c4 epi<br /> P. arthrodilus PATL c4 hypo<br /> P. meridianus PMLL c5 epi<br /> P. margalefi PMAF c5 hypo<br /> P. granandensis PGRP c6 epi<br /> P. solanasi PSOG c6 hypo<br /> P. coxalis PCOB c7 epi<br /> P. parvulus PPRS c7 hypo<br /> P. assaforensis PASA c8 epi<br /> P. rectus PRUE c8 hypo<br /> P. karamani PKK c9 epi<br /> P. hercegovinensis PHEZ c9 hypo<br /> P. coiffaiti PCOIP c10 epi<br /> P. cavaticus PCBF c10 hypo<br /> P. racovitzai PRBE c11 epi<br /> P. escolai PECD c11 hypo<br /> P. ortizi POJ c12 epi<br /> P. grafi PGC c12 hypo<br /> P. ebrensis PEF c13 epi<br /> P. cantabricus PCANC c13 hypo</p> <p>Remark: out of these 6,255 alignments, 8 alignments are empty (when Gblock has removed ALL aligned positions): [1] "FAM000157_5.fas" "FAM000587_3.fas" "FAM000615_1.fas" "FAM008836_1.fas" [5] "FAM013862_1.fas" "FAM015586_1.fas" "FAM017544_1.fas" "FAM022381_1.fas"</p> <p> </p>
Simulation data for: "Piezochromic effects in CdS nanocrystals: the roles of size, ligands and pressure"
<p>This folder contains all the input and output files for the simulations performed in the publication "Piezochromic effects in CdS nanocrystals: the roles of size, ligands and pressure". The data is organised as follows: /pseudos contains the PAW potentials used in all calculations</p> <p>/Geom_relax contains the data for the BFGS optimization of all nanocrystals under pressure using the electronic enthalpy method and optimizing in steps of 1GPa or above from 0 to 15GPa</p> <p>/COND contains the data for the conduction space optimization performed on the structures relaxed at various pressures</p> <p>/LDOS contains the data for the projected DOS obtained from a joint valence-conduction basis where the DOS has been decomposed in terms of the chemical environment of atoms (eg core,surface, corner, Cd, S, etc...). A 0.1 eV Gaussian smearing is applied for generating plots.</p> <p>/TDDFT contains the LR-TDDFT calculations using the optimized valence-conduction basis following Geometry relaxation and conduction optimization. The absorption spectra are obtained by convolving a Gaussian of 0.05 eV on the stick spectra obtained at the end of calculations. Please refer to the user manuals on the ONETEP website (www.onetep.org) for further details regarding how to perform these calculations</p> <p>All calculations were performed with ONETEP version 3.1 or above (specified in the output of each calculation).</p>
Behavioral Data CDS Study
<p>The data set includes the behavioral measurements in the open field test, light-dark box test, social interaction test, temporal order memory test, and fear conditioning test, as obtained in the CDS study. </p>
Morphological parameters of microglia in the CDS-based microglia depletion model
<p>The data set includes morphological parameters (cell soma size, process length, branching points, and Sholl analysis) of microglial cells after treatment with clodronate disodium salt (CDS), phosphate buffered saline (PBS) or sham in mice.</p>
CDS input for Monocle3 tutorial - Galaxy Training Material
<p>CDS input file for Monocle3 trajectory analysis tutorial. Created from AnnData object from the upstream pre-processing.</p>
Monocle 3 CDS pseudotime objects of FACS-sorted (CD31+/CD45-) endothelial cells
<p><strong>Monocle 3 CDS pseudotime objects of FACS-sorted (CD31+/CD45-) endothelial cells<br></strong></p> <p><em><span>-> part of the manuscript: Single-cell atlas of the human brain vasculature across development, adulthood and disease</span></em><span><br><em><span>https://www.nature.com/articles/s41586-024-07493-y</span></em></span></p> <p><strong> </strong></p> <p>-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------</p> <p> </p> <p><em>-i) Adult control brain (temporal lobe) sorted endothelial cells_cds monocle object.rds: </em><br> -> this is a Monocle 3 CDS pseudotime object of FACS-sorted (CD31+/CD45-) endothelial cells isolated from adult/control brains (temporal lobes).<br><br><em>-ii) Fetal CNS sorted endothelial cells_cds monocle object.rds: </em><br> -> this is a Monocle 3 CDS pseudotime object of FACS-sorted (CD31+/CD45-) endothelial cells isolated from fetal brain (Fetal CNS).<br><br><em>- iii) AVM sorted endothelial cells_cds monocle object.rds: </em><br> -> this is a Monocle 3 CDS pseudotime object of FACS-sorted (CD31+/CD45-) endothelial cells isolated from brain arteriovenous malformations (AVM) (a brain vascular malformation).<br><br><em>- iv) LGG sorted endothelial cells_cds monocle object.rds: </em><br> -> this is a Monocle 3 CDS pseudotime object of FACS-sorted (CD31+/CD45-) endothelial cells isolated from lower-grade gliomas (LGG) (a brain tumor).<br><br><em>- v) GBM sorted endothelial cells_cds monocle object.rds: </em><br> -> this is a Monocle 3 CDS pseudotime object of FACS-sorted (CD31+/CD45-) endothelial cells isolated from high-grade gliomas (glioblastoma (GBM)) (a brain tumor).<br><br><em>- vi) MET sorted endothelial cells_cds monocle object.rds: </em><br> -> this is a Monocle 3 CDS pseudotime object of FACS-sorted (CD31+/CD45-) endothelial cells isolated from brain metastasis (MET) (a brain tumor).<br><br><em>- vii) MEN sorted endothelial cells_cds monocle object.rds: </em><br> -> this is a Monocle 3 CDS pseudotime object of FACS-sorted (CD31+/CD45-) endothelial cells isolated from brain meningioma (MEN) (a brain tumor).<br><br><em>-viii) Overall merge of tumor sorted endothelial cells_cds monocle object.rds: </em><br> -> this is a Monocle 3 CDS pseudotime object of FACS-sorted (CD31+/CD45-) endothelial cells isolated from brain tumors (lower-grade glioma, high-grade glioma (glioblastoma), brain metastasis, meningiomas). <br><br><em>-ix) Overall merge of pathological sorted endothelial cells_cds monocle object.rds: </em><br> -> this is a Monocle 3 CDS pseudotime object of FACS-sorted (CD31+/CD45-) endothelial cells isolated from brain tumors (lower-grade glioma, high-grade glioma (glioblastoma), brain metastasis, meningiomas) and brain vascular malformations (brain arteriovenous malformations). </p>
Clinical Decision Support (CDS) for Radiology Imaging
ClinicalTrials.gov study NCT02996045. IPD Sharing: NO. Countries: 1. Publications: 4.
EUS-Gallbladder vs CDS as First Line in MBDO- Palliative (CARPEGIEM Trial)
ClinicalTrials.gov study NCT06375967. IPD Sharing: UNDECIDED. Countries: 1. Publications: 6.
Evaluation of the SCALED (SCaling AcceptabLE cDs)
ClinicalTrials.gov study NCT05628207. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Prioritized Clinical Decision Support (CDS) to Reduce Cardiovascular Risk
ClinicalTrials.gov study NCT01420016. IPD Sharing: NO. Countries: 0. Publications: 11.
Testing CDS in OSCAR EMR Using STOPP Criteria
ClinicalTrials.gov study NCT02130895. IPD Sharing: Not stated. Countries: 1. Publications: 1.
EUS-guided CDS vs ERCP as First Line in Malignant Distal Obstruction in Borderline Disease (CARPEDIEM-2 Trial)
ClinicalTrials.gov study NCT06375954. IPD Sharing: NO. Countries: 1. Publications: 4.
ScienceDex guides
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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.