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2,394 results for “ms”
AMSTERDAMSE SCHOOLKINDEREN ADOPTEREN HR MS FREGAT "JOHAN - MAURITS"
<u>Source</u>: Europeana <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1652249776.3216.jpg">https://4dcity.org/imgupload/1652249776.3216.jpg</a> <br><u>Original Image URL</u>: <a href="https://api.europeana.eu/thumbnail/v2/url.json?uri=https%3A%2F%2Fwww.openbeelden.nl%2Fimages%2F1190872%2FAMSTERDAMSE_SCHOOLKINDEREN_ADOPTEREN_HR_MS_FREGAT_quot_JOHAN_-_MAURITS_quot_%25280_33%2529.png&type=VIDEO">https://api.europeana.eu/thumbnail/v2/url.json?uri=https%3A%2F%2Fwww.openbeelden.nl%2Fimages%2F1190872%2FAMSTERDAMSE_SCHOOLKINDEREN_ADOPTEREN_HR_MS_FREGAT_quot_JOHAN_-_MAURITS_quot_%25280_33%2529.png&type=VIDEO</a> <br><br><u>Image-Metadata:</u><br>Filename: 1652249776.3216.jpg<br>Image Dimensions: 360x288<br>Megapixels: 0.10 MP<br>Filesize: 137.23 KB<br>
MS Berlin Janert HS or 12433 SBB-PK (Part I)
<p><a href="https://panditproject.org/entity/109174/manuscript" target="_blank" rel="noopener">Pandit Project Entry</a></p> <p> </p>
MS BORI 297 (1875–76) (Part I)
<p><a href="https://panditproject.org/entity/108997/manuscript">https://panditproject.org/entity/108997/manuscript</a></p>
Insight MS Longitudinal MRI dataset
<p>Multiple Sclerosis (MS) is an idiopathic chronic inflammatory demyelinating disease of the central nervous system. Timely and accurate diagnosis via the McDonald criteria improves outcome but relies heavily on radiologist interpretation of MRI studies. A growing body of research is focused on identifying new MS lesions on MRI by comparing one time point with another but only limited longitudinal data are available.</p> <p>We present a dataset of which contains 496 scans of 172 patients with MS each with at least 2 time points including T1, Flair and T2 sequences. There are 110 stable scans and 214 instances of change. We also include demographic information. Data has been anonymised, processed and segmented with three stages of expert opinion contribute to ground truth.</p> <p>Future research using this dataset could include new lesion identification, radiomic characterisation of new lesions, relationship with disease activity and brain atrophy and time series applications including prediction of new lesions and active learning for efficient segmentation.</p>
Fig. 7 in Metabolic fingerprinting of Ganoderma spp. using UHPLC-ESI-QTOF-MS and its chemometric analysis
Fig. 7. Heatmap of all the 70 metabolites identified in different strains of Ganoderma mushroom extracts in triplicate.
Fig. 8 in Glucosinolate profiles and phylogeny in Barbarea compared to other tribe Cardamineae (Brassicaceae) and Reseda (Resedaceae), based on a library of ion trap HPLC-MS/MS data of reference desulfoglucosinolates
Fig. 8. The intraspecific diversity of Barbarea vulgaris and relations to other species in the genus analyzed by parsimony network analysis of ITS regions from Barbarea accessions using SplitsTree (Huson and Briant, 2006). The B. vulgaris ITS sequences are defined as seven groups and detailed accession information is found in Supplementary Table S1. The respective alignment is shown in Supplementary Table S2, and bootstrap values are provided for 1000 replicates.
Fig. 7 in Untargeted metabolite profiling of petal blight in field-grown Rhododendron agastum using GC-TOF-MS and UHPLC-QTOF-MS/MS
Fig. 7. Pathway analysis of differentially abundant metabolites of the petal blight flowers of R. agastum based on pathway-matched metabolites.
Fig. 4 in Headspace GC-MS analysis of differences in intra- and interspecific Terpene profiles of Picea pungens Engelm. and P. abies (L.) Karst
Fig. 4. Sample chiral GC traces of blue spruce (B1), Norway spruce (N1), and cedar of Lebanon (C1). Compounds were identified by mass spectra (NIST library) and reference comparisons. Identified compounds are: (2) α-pinene, (3) camphene, (4) sabinene, (5) β-pinene (coeluting with β-myrcene), (7) 3-carene, (8) limonene, and (9) β-phellandrene.
Fig. 6 in Headspace GC-MS analysis of differences in intra- and interspecific Terpene profiles of Picea pungens Engelm. and P. abies (L.) Karst
Fig. 6. Selected principal component loadings vs. GC retention times. Loadings are shown for Experiment 1 (three trees over time), PC1 (A) and PC2 (B), Experiment 2 (multiple trees), PC1 (C) and PC2 (D), and Experiment 4 (chiral analysis), PC1 (E) and PC2 (F). Identified compounds are: (1) tricyclene, (2) α-pinene, (3) camphene, (4) sabinene, (5) β-pinene, (6) β-myrcene, (7) 3-carene, (8) limonene, (9) β-phellandrene (coeluting with limonene), (10) 1,8-cineole, (11) γ-terpinene, (12) terpinolene, (13) camphor, and (14) α-terpineol.
Fig. 7. Experiment 1 in Headspace GC-MS analysis of differences in intra- and interspecific Terpene profiles of Picea pungens Engelm. and P. abies (L.) Karst
Fig. 7. Experiment 1, comparison of variation in cedar of Lebanon samples. Different colored sample at left correspond to colored peaks at right (as indicated by arrows). Samples highlighted in red had higher percentages of α-pinene while those highlighted in blue had more β-myrcene and limonene. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Pharmacodynamics, Safety and Pharmacokinetics After Oral Administration of BIBR 1048 MS in Healthy Volunteers
ClinicalTrials.gov study NCT02170116. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Impact of Acute Leg Cycling at Various Intensities on RLS Severity in Persons With MS
ClinicalTrials.gov study NCT03849001. IPD Sharing: NO. Countries: 0. Publications: 0.
Safety and Efficacy in Pediatric MS Patients Prescribed Tysabri
ClinicalTrials.gov study NCT02137109. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Assessment of Safety, Pharmacokinetics and the Effect of BIBR 1048 MS on Coagulation Parameters in Healthy Volunteer Subjects
ClinicalTrials.gov study NCT02170740. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Acupressure in MS Patients
ClinicalTrials.gov study NCT06755463. IPD Sharing: NO. Countries: 0. Publications: 0.
Role of Virtual Reality in MS Rehabilitation
ClinicalTrials.gov study NCT02834533. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Comparison of Intermittent vs. Continuous Walking in MS
ClinicalTrials.gov study NCT02726373. IPD Sharing: NO. Countries: 0. Publications: 0.
Safety/Tolerability, Pharmacokinetics, and Pharmacodynamics of BIBB 1464 MS in Healthy Male Subjects, Combined With Preliminary Evaluation of Relative Bioavailability and Effect of Food
ClinicalTrials.gov study NCT02229838. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Safety and Effectiveness of Cinnomer® (Glatiramer Acetate) in Multiple Sclerosis (MS) Treatment in Iran
ClinicalTrials.gov study NCT04928313. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Rapid Detection of Bacterial Resistance by MALDI-TOF MS and Antibiotic Savings
ClinicalTrials.gov study NCT02860247. IPD Sharing: NO. Countries: 0. Publications: 0.
ScienceDex guides
Understand access before you commit
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.