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2,394 results for “ms”
Map 6 from: Caterino MS, Tishechkin AK (2020) Recognition and revision of the Phelister blairi group (Histeridae, Histerinae, Exosternini). ZooKeys 1001: 1-154. https://doi.org/10.3897/zookeys.1001.58447
Map 6 Collecting records for Phelister serratus (white circles), P. geminus (stars).
Map 10 from: Caterino MS, Tishechkin AK (2020) Recognition and revision of the Phelister blairi group (Histeridae, Histerinae, Exosternini). ZooKeys 1001: 1-154. https://doi.org/10.3897/zookeys.1001.58447
Map 10 Collecting records for Phelister pervagatus.
Map 4 from: Caterino MS, Tishechkin AK (2020) Recognition and revision of the Phelister blairi group (Histeridae, Histerinae, Exosternini). ZooKeys 1001: 1-154. https://doi.org/10.3897/zookeys.1001.58447
Map 4 Collecting records for Phelister stellans (stars), P. sparsus (white circles).
Map 9 from: Caterino MS, Tishechkin AK (2020) Recognition and revision of the Phelister blairi group (Histeridae, Histerinae, Exosternini). ZooKeys 1001: 1-154. https://doi.org/10.3897/zookeys.1001.58447
Map 9 Collecting records for Phelister dilatatus (stars), and P. spectabilis (circles).
Figure 4 from: Logoyda L, Piponski M, Kovalenko S, Dutchak O, Denefil O, Soroka Y, Pidruchna S, Popovych D, Susla O (2021) Method development for the quantitative determination of captopril from Caco-2 cell monolayers by using LC-MS/MS. Pharmacia 68(1): 61-67. https://doi.org/10.3897/pharmacia.68.e52077
Figure 4 The calibration curve of captopril.
Figure 3 from: Logoyda L, Piponski M, Kovalenko S, Dutchak O, Denefil O, Soroka Y, Pidruchna S, Popovych D, Susla O (2021) Method development for the quantitative determination of captopril from Caco-2 cell monolayers by using LC-MS/MS. Pharmacia 68(1): 61-67. https://doi.org/10.3897/pharmacia.68.e52077
Figure 3 Typical multiple reaction monitoring chromatograms of captopril.
Figure 2 from: Logoyda L, Piponski M, Kovalenko S, Dutchak O, Denefil O, Soroka Y, Pidruchna S, Popovych D, Susla O (2021) Method development for the quantitative determination of captopril from Caco-2 cell monolayers by using LC-MS/MS. Pharmacia 68(1): 61-67. https://doi.org/10.3897/pharmacia.68.e52077
Figure 2 Gradient curve.
Figure 1 from: Logoyda L, Piponski M, Kovalenko S, Dutchak O, Denefil O, Soroka Y, Pidruchna S, Popovych D, Susla O (2021) Method development for the quantitative determination of captopril from Caco-2 cell monolayers by using LC-MS/MS. Pharmacia 68(1): 61-67. https://doi.org/10.3897/pharmacia.68.e52077
Figure 1 Chemical structure of captopril.
Figure 1 from: Al-Rafyai HM, Alwash MS, Al-Khafaji NS (2021) Quinolone resistance (qnrA) gene in isolates of Escherichia coli collected from the Al-Hillah River in Babylon Province, Iraq. Pharmacia 68(1): 1-7. https://doi.org/10.3897/pharmacia.68.e57819
Figure 1 Geographic locations of the three sampling sites (S1–S3) along the Al Hillah River.
Figure 11 from: Savych AO, Marchyshyn S, Kozyr H, Yarema N (2021) Determination of inulin in the herbal mixtures by GC-MS method. Pharmacia 68(1): 181-187. https://doi.org/10.3897/pharmacia.68.e55051
Figure 11 The diagram of the comparative analysis of inulin in the herbal mixtures.
Data from: The prevalence of MS in the United States: a population-based estimate using health claims data
Objective: To generate a national multiple sclerosis (MS) prevalence estimate for the United States by applying a validated algorithm to multiple administrative health claims (AHC) datasets. Methods: A validated algorithm was applied to private, military, and public AHC datasets to identify adult cases of MS between 2008 and 2010. In each dataset, we determined the 3-year cumulative prevalence overall and stratified by age, sex, and census region. We applied insurance-specific and stratum-specific estimates to the 2010 US Census data and pooled the findings to calculate the 2010 prevalence of MS in the United States cumulated over 3 years. We also estimated the 2010 prevalence cumulated over 10 years using 2 models and extrapolated our estimate to 2017. Results: The estimated 2010 prevalence of MS in the US adult population cumulated over 10 years was 309.2 per 100,000 (95% confidence interval [CI] 308.1–310.1), representing 727,344 cases. During the same time period, the MS prevalence was 450.1 per 100,000 (95% CI 448.1–451.6) for women and 159.7 (95% CI 158.7–160.6) for men (female:male ratio 2.8). The estimated 2010 prevalence of MS was highest in the 55- to 64-year age group. A US north-south decreasing prevalence gradient was identified. The estimated MS prevalence is also presented for 2017. Conclusion: The estimated US national MS prevalence for 2010 is the highest reported to date and provides evidence that the north-south gradient persists. Our rigorous algorithm-based approach to estimating prevalence is efficient and has the potential to be used for other chronic neurologic conditions.
Figure 1 from: Kokhia MS, Golovatch SI (2020) Diversity and distribution of the millipedes (Diplopoda) of Georgia, Caucasus. In: Korsós Z, Dányi L (Eds) Proceedings of the 18th International Congress of Myriapodology, Budapest, Hungary. ZooKeys 930: 199-219. https://doi.org/10.3897/zookeys.930.47490
Figure 1 Geographic division of Georgia.
Latin MS 24
Missal (Sarum) (Latin MS 24) Sarum Missal, written in the mid-13th century at the scriptorium of Salisbury cathedral. Belongs to a small group of manuscripts including the Amesbury and Wilton Psalters made for monastic houses or individuals in them. https://www.digitalcollections.manchester.ac.uk/view/MS-LATIN-00024/1 Source: Objaverse 1.0 / Sketchfab
Database for accurate EI-MS spectra for semi-volatile compounds identified in plastic from electronical waste
<p>Database of accurate EI-MS spectra, recorded using a GC-EI-TOF-MS instrument, containing more than 300 volatile and semi-volatile compounds tentatively identified in plastics of electrical waste (e-waste). Tentative identifications were based on normalized spectral matches above 60 (0-100 scale) with the low-resolution NIST17 database, linear retention index differences between 50 units compared to literature values for semipolar (HP5-type) columns, and mass errors below 5 mDa for a minimum of two relevant ions in the spectra of each compound.</p>
Imaging MS colocalization data 3
<p>Data of co-localization analysis and images. Zip file includes colocalized data tables. The file names indicate mass values of peptides. </p>
Imaging MS colocalization data 2
<p>Data of co-localization analysis and images. Zip file includes colocalized data tables. The file names indicate mass values of peptides. </p>
Imaging MS colocalization data 1
<p>Data of co-localization analysis and images. Zip file includes colocalized data tables. The file names indicate mass values of peptides. </p>
Figure 4 from: Caterino MS, Arey NC (2023) Limited phylogeographic structure in a flightless, Appalachian chalcidoid wasp, Dipara trilineata (Yoshimoto) (Hymenoptera, Diparidae), with reassessment of the male of the species. Journal of Hymenoptera Research 96: 1061-1072. https://doi.org/10.3897/jhr.96.115001
Figure 4 Female (A, B) and male (C–F) Dipara trilineata (Yoshimoto).
Figure 1 from: Harden CW, Davidson RL, Malabad TE, Caterino MS, Maddison DR (2024) Phylogenetic systematics of the enigmatic genus Horologion Valentine, 1932 (Coleoptera, Carabidae, Trechinae, Horologionini), with description of a new species from Bath County, Virginia. Subterranean Biology 48: 1-49. https://doi.org/10.3897/subtbiol.48.114404
Figure 1 Horologion speokoites holotype (USNM), dorsal habitus. Scale bar: 1 mm.
Figure 7 from: Harden CW, Davidson RL, Malabad TE, Caterino MS, Maddison DR (2024) Phylogenetic systematics of the enigmatic genus Horologion Valentine, 1932 (Coleoptera, Carabidae, Trechinae, Horologionini), with description of a new species from Bath County, Virginia. Subterranean Biology 48: 1-49. https://doi.org/10.3897/subtbiol.48.114404
Figure 7 Labels of Horologion speokoites holotype, USNM.
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.