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13,117 results for “Maps”
Sri Ksetra, Bago, Myanmar. Map of Sri Ksetra, phase 2.
<p>Sri Ksetra, Bago, Myanmar. Map of Sri Ksetra, phase 2.</p>
Sri Ksetra, Bago, Myanmar. Map of Sri Ksetra, phase 1.
<p>Sri Ksetra, Bago, Myanmar. Map of Sri Ksetra, phase 1.</p>
Data for: Oligonucleotide mapping via mass spectrometry to enable comprehensive primary structure characterization of an mRNA vaccine against SARS-CoV-2
<p>Oligonucleotide mapping via liquid chromatography mass spectrometry mass spectrometry (LC-MS/MS) was recently developed to support development of Comirnaty®, the world's first commercial mRNA vaccine which immunizes against the SARS-CoV-2 virus. Analogous to peptide mapping of therapeutic protein modalities, oligonucleotide mapping described here provides direct primary structure characterization of mRNA, through enzymatic digestion, accurate mass determinations, and optimized collisionally-induced fragmentation. Sample preparation for oligonucleotide mapping is a rapid, one-pot, one-enzyme digestion. The digest is analyzed via LC-MS/MS with an extended gradient and resulting data analysis employs semi-automated software. In a single method, oligonucleotide mapping readouts include a highly reproducible and completely annotated UV chromatogram with >98% sequence coverage and a microheterogeneity assessment of 5´ terminus capping and 3´ terminus poly(A) tail length. Oligonucleotide mapping was pivotal to ensure the quality, safety, and efficacy of mRNA vaccines by providing: confirmation of construct identity and primary structure and assessment of product comparability following manufacturing process changes. More broadly, this technique may be used to directly interrogate the primary structure of RNA molecules in general.</p>
Mapping the correlations and gaps in studies of complex life histories
<p><span>For species with complex life histories, phenotypic correlations between life-history stages constrain both ecological and evolutionary trajectories. Studies that seek to understand correlations across life history differ greatly in their experimental approach: some follow individuals ("individual longitudinal"), while others follow cohorts ("cohort longitudinal"). Cohort longitudinal studies risk confounding results through Simpson's Paradox, where correlations observed at the cohort-level do not match that of the individual-level. Individual longitudinal studies are laborious in comparison, but provide a more reliable test of correlations across life-history stages. Our understanding of the prevalence, strength and direction of phenotypic correlations depends on the approaches that we use, but the relative representation of different approaches is unknown. Using marine invertebrates as a model group, we used a formal, systematic literature map to screen 17,000+ papers studying complex life histories, and characterized the study type (i.e. cohort longitudinal, individual longitudinal or single stage), as well as other factors. For 3,315 experiments from 1,716 articles, most (67.4%) focused on a single stage, and just 1.7% used an individual longitudinal approach. While life-history stages have been studied extensively, we suggest that the field prioritize individual longitudinal studies to understand the phenotypic correlations among stages.</span></p>
Map 14 in Monograph of African Costaceae
Map 14 Distribution of Costus phyllocephalus K.Schum.
Map 12 in Monograph of African Costaceae
Map 12 Distribution of Costus maboumiensis Pellegr. (■) and C. nimba H.Maas & Maas (●).
Map 15 in Monograph of African Costaceae
Map 15 Distribution of Paracostus englerianus (K.Schum.) C.D.Specht.
Map 10 in Monograph of African Costaceae
Map 10 Distribution of Costus louisii H.Maar & Maas (▲) and C. tappen- beckianus (●).
Map 9 in Monograph of African Costaceae
Map 9 Distribution of Costus lilaceus Maas & H.Maas (●) and C. talbotii Ridl. (▲).
Map 7 in Monograph of African Costaceae
Map 7 Distribution of Costus gabonensis Koechlin (●) and C. loangensis H.Maas & Maas (■
Map 4 in Monograph of African Costaceae
Map 4 Distribution of Costus dinklagei K. Schum. (●) and C. ligularis Baker (■).
Map 5 in Monograph of African Costaceae
Map 5 Distribution of Costus dubius (Afzel.) K. Schum.
Map 13 in Monograph of African Costaceae
Map 13 Distribution of Costus macranthus K.Schum. (▲) and C. spectabilis (Fenzl) K.Schum. (●).
Map 11 in Monograph of African Costaceae
Map 11 Distribution of Costus lucanusianus J.Braun & K.Schum.
Swift BAT Mosaic Pattern Noise Maps
<p>This dataset is the noise pattern maps that are needed to analyze Swift BAT data and produce "time integrated" mosaic images using the <a href="https://github.com/parsotat/BatAnalysis">BatAnalysis</a> python package. </p> <p>The file can be untarred and placed into a directory accessible by python such that these files can be used in the analysis of BAT data. </p> <p>These pattern maps are from 2004 day 350 (2004-12-15) to 2019 day 212 (2019-07-31). </p>
Map 1 in Impatiens banen and Impatiens etugei (Balsaminaceae), new threatened species from lowland of the Cross-Sanaga Interval, Cameroon
Map 1. Global distributions of Impatiens banen and I. etugei. BY XANDER VAN DER BURGT.
Excel mapping tools for 2022 zoonoses data reporting
<p>The main objective of the mapping tools is to provide a simple and useable platform for Member states and other reporting countries to map their country-specific standard terminology to that used by EFSA and to enable the production of an XML file for the submission of sample or aggregated-based zoonoses monitoring data via the Data Collection Framework (DCF).</p> <p>The catalogues and the specific hierarchy of each data model (AMR, ESBL, PRV, FBO, AP, DS and SSD2 for <em>Echinococcus multilocularis</em>) are already inserted into each of the specific mapping tool. Specific Excel mapping tools corresponding to each of the five data models are available.</p> <p>Dynamic or manual version of the tool can be chosen for the first six data models.</p> <p>The Emulti_SSD2_tool can be used to report sample-based results of <em>Echinococcus multilocularis</em> under the Commission Delegated Regulation (EU) 2018/772.</p>
Maps of the Top500 Supercomputers over Time
<p>A collection of maps plotting the Top500 Supercomputers from 1993-2022.</p>
Map 9 in Taxonomic treatment of Abrahamia Randrian. & Lowry, a new genus of Anacardiaceae from Madagascar
Map 9. Geographic distribution of species of Abrahamia Randrian. & Lowry
Map 8 in Taxonomic treatment of Abrahamia Randrian. & Lowry, a new genus of Anacardiaceae from Madagascar
Map 8. Geographic distribution of species of Abrahamia Randrian. & Lowry
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.