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595 results for “Repertoire”
Figure 2 in Breeding biology, diet and vocal repertoire of White-rumped Monjita Xolmis velatus
Figure 2. Food delivered to nestlings of White-rumped Monjita Xolmis velatus, Rio Claro, São Paulo, Brazil. A‒C = Scarabaeidae; D = Grylloidea; E = Ensifera; F = Tettigoniidae, Conocephalinae, Copiphorini; G‒H = Lycosidae (Luiz Carlos Ramassotti)
Figure 1 in Breeding biology, diet and vocal repertoire of White-rumped Monjita Xolmis velatus
Figure 1. Nests of White-rumped Monjita Xolmis velatus. A: nest 1 with nestlings, Analândia, São Paulo, Brazil, 15 November 2008 (Rogério Carlos Machado); B: nest 2 with eggs, Marília, São Paulo, Brazil, 23 October 2010 (Manuel Gonzales); C‒F: nest 3, Rio Claro, São Paulo, Brazil; C: adult at entrance to PVC pipe, 20 October 2021 (Luiz Ramassotti); D: nest, 29 October 2021 (Carlos Otávio Araujo Gussoni); E: nest with nestlings, 20 October 2021 (Carlos Otávio Araujo Gussoni); F: nestling, 22 October 2021 (Carlos Otávio Araujo Gussoni)
Figure 5 in Breeding biology, diet and vocal repertoire of White-rumped Monjita Xolmis velatus
Figure 5. Begging calls of a fledgling (A) and calls of an adult (B) White-rumped Monjita Xolmis velatus. Sonogram made using software Raven Pro 1.6.1 (Center for Conservation Bioacoustics 2019).
Extended rat miRNA repertoire
<p>Generally, <em>Rattus norvegicus'</em> miRNA repertoire falls short compared to the other rodent model organism, <em>Mus musculus.</em></p> <p>To extend the miRNA catalogue in <em>Rattus norvegicus,</em> we utilized Infernal v1.1 (<a href="https://doi.org/10.1093/bioinformatics/btt509" target="_blank" rel="noopener">Nawrocki and Eddy, 2013</a>) to derive potential rat miRNA candidates starting from all available mammalian miRNA families in <a href="https://www.mirbase.org/" target="_blank" rel="noopener">miRBase</a>. We utilized MIRfix (<a href="https://doi.org/10.1093/bioinformatics/btz271" target="_blank" rel="noopener">Yazbeck et al., 2019</a>) to curate the extended miRNA datasets automatically. Subsequent manual inspection and curation of miRNA alignments resulted in a reliable and comprehensive update to the rat miRNA annotation.</p> <p>Key facts of the extended miRNA repertoire</p> <ul> <li>342 miRNA families (40 novel families)</li> <li>549 miRNA sequences (56 novel miRNAs)</li> <li> 11 corrected annotated miRNAs</li> </ul> <h3>European Nucleotide Archive</h3> <p>The 56 novel sequences not listed in miRBase before have been submitted to the European Nucleotide Archive at EMBL-EBI.<br>They are accessible with the accession numbers OZ078105 - OZ078160.<br>The sequences will be permanently available from the ENA browser at http://www.ebi.ac.uk/ena/data/view/<ACCESSION NUMBERS>.</p> <p>An overview of all sequences is given here: <a href="http://www.ebi.ac.uk/ena/data/view/OZ078105-OZ078160" target="_blank" rel="noopener">http://www.ebi.ac.uk/ena/data/view/OZ078105-OZ078160</a>.</p>
Рис. 3. «ГуΑки» самцов (1) и птенцов (2): a — I. sinensis; b — гибриΑных птиц 2007 г.; c — гибриΑных птиц 2010 г. Fig. 3. "Beeps" of males (1) and nestlings (2): a — I. sinensis; b — hybrid birds 2007; c — hybrid birds 2010 in Call repertoire of Bitterns Ixobrychus in Russian Far East
Рис. 3. «ГуΑки» самцов (1) и птенцов (2): a — I. sinensis; b — гибриΑных птиц 2007 г.; c — гибриΑных птиц 2010 г. Fig. 3. "Beeps" of males (1) and nestlings (2): a — I. sinensis; b — hybrid birds 2007; c — hybrid birds 2010
Рис. 4. Крики беΑствия самок (1): a — I. sinensis; b — гибриΑной птицы; крики беΑствия самцов (2): a — I. minutes (Wroza 2017); b — I. minutes 2007 г.; сΛётков (3): a — 13-суточных I. sinensis; b — 29-суточных I. sinensis; c — 13-суточных гибриΑных птиц; d — 29-суточных гибриΑных птиц Fig. 4. Distress calls of females (1): a — I. sinensis; b — hybrid bird; distress calls of males (2): a — I. minutes (Wroza 2017); b — I. minutes 2007; fledglings (3): a — 13-day-old I. sinensis; b — 29-day-old I. sinensis; c — 13-day-old hybrid birds; d — 29-day-old hybrid birds in Call repertoire of Bitterns Ixobrychus in Russian Far East
Рис. 4. Крики беΑствия самок (1): a — I. sinensis; b — гибриΑной птицы; крики беΑствия самцов (2): a — I. minutes (Wroza 2017); b — I. minutes 2007 г.; сΛётков (3): a — 13-суточных I. sinensis; b — 29-суточных I. sinensis; c — 13-суточных гибриΑных птиц; d — 29-суточных гибриΑных птиц Fig. 4. Distress calls of females (1): a — I. sinensis; b — hybrid bird; distress calls of males (2): a — I. minutes (Wroza 2017); b — I. minutes 2007; fledglings (3): a — 13-day-old I. sinensis; b — 29-day-old I. sinensis; c — 13-day-old hybrid birds; d — 29-day-old hybrid birds
Рис. 1. Брачные крики и их инΑивиΑуаΛьная изменчивость у разных виΑов воΛчков: a — I. m. minutes (Celmins 2008; Bruggen 2017; Maffezzoli 2021); b — I. m. dubius (Graff 2012; Davison 2020); c — I. m. payesii (Hesse 2009; Archer 2019; Cockcroft 2020); d — I. sinensis (Piot 2021; Raveendran 2021; Jeff 2022); e — I. e. exilis (Graves 2021; Overholtz 2021); f — I. e. peruvianus (Moore 2003; Krabbe 2015; Arias 2020); g — I. eurythmus (Mark 1997; Lastukhin 2015; Wulf 2016) Fig. 1. Mating calls and their individual variability in different bittern species: a — I. m.minutes Celmins 2008; Bruggen 2017; Maffezzoli 2021); b — I. m. dubius (Graff 2012; Davison 2020); c — I. m. payesii (Hesse 2009; Archer 2019; Cockcroft 2020); d — I. sinensis (Piot 2021; Raveendran 2021; Jeff 2022); e — I. e. exilis (Graves 2021; Overholtz 2021); f — I. e. peruvianus (Moore 2003; Krabbe 2015; Arias 2020); g — I. eurythmus (Mark 1997; Lastukhin 2015; Wulf 2016) in Call repertoire of Bitterns Ixobrychus in Russian Far East
Рис. 1. Брачные крики и их инΑивиΑуаΛьная изменчивость у разных виΑов воΛчков: a — I. m. minutes (Celmins 2008; Bruggen 2017; Maffezzoli 2021); b — I. m. dubius (Graff 2012; Davison 2020); c — I. m. payesii (Hesse 2009; Archer 2019; Cockcroft 2020); d — I. sinensis (Piot 2021; Raveendran 2021; Jeff 2022); e — I. e. exilis (Graves 2021; Overholtz 2021); f — I. e. peruvianus (Moore 2003; Krabbe 2015; Arias 2020); g — I. eurythmus (Mark 1997; Lastukhin 2015; Wulf 2016) Fig. 1. Mating calls and their individual variability in different bittern species: a — I. m.minutes Celmins 2008; Bruggen 2017; Maffezzoli 2021); b — I. m. dubius (Graff 2012; Davison 2020); c — I. m. payesii (Hesse 2009; Archer 2019; Cockcroft 2020); d — I. sinensis (Piot 2021; Raveendran 2021; Jeff 2022); e — I. e. exilis (Graves 2021; Overholtz 2021); f — I. e. peruvianus (Moore 2003; Krabbe 2015; Arias 2020); g — I. eurythmus (Mark 1997; Lastukhin 2015; Wulf 2016)
Рис. 6. Контактно-тревожная позывка «перекΛичка» птенцов I. sinensis (a) и гибриΑных птиц (b) Fig. 6. Contact-alarm call "roll call" of I. sinensis nestlings (a) and hybrid birds (b) in Call repertoire of Bitterns Ixobrychus in Russian Far East
Рис. 6. Контактно-тревожная позывка «перекΛичка» птенцов I. sinensis (a) и гибриΑных птиц (b) Fig. 6. Contact-alarm call "roll call" of I. sinensis nestlings (a) and hybrid birds (b)
Рис. 5. Контактно-пищевая позывка «мяуканье» (1) и пищевое «шипение» (2) птенцов: a — I. eurythmus; b — I. sinensis; c — гибриΑных птиц Fig. 5. Contact-food "meow" call (1) and food "hissing" (2) of nestlings: a — I. eurythmus; b — I. sinensis; c — hybrid birds in Call repertoire of Bitterns Ixobrychus in Russian Far East
Рис. 5. Контактно-пищевая позывка «мяуканье» (1) и пищевое «шипение» (2) птенцов: a — I. eurythmus; b — I. sinensis; c — гибриΑных птиц Fig. 5. Contact-food "meow" call (1) and food "hissing" (2) of nestlings: a — I. eurythmus; b — I. sinensis; c — hybrid birds
Urban Food Riots in Late Ottoman Bilad al-Sham as a 'Repertoire of Contention'
<p>This repository holds supplementary material such as maps, data sets, and code for my essay ‘Urban Food Riots in Late Ottoman Bilād Al-Shām as a “Repertoire of Contention”’, in <em>Crime, Poverty and Survival in the Middle East and North Africa: The ‘Dangerous Classes’ since 1800</em>, ed. Stephanie Cronin (London: I.B. Tauris, 2019), 157–76. All materials are licensed as <a href="http://creativecommons.org/licenses/by-nd/4.0/">cc by-nd 4.0</a>.</p> <p>Material is organised in the following folders</p> <ul> <li><code>data/</code>: data sets on food prices as CSV.</li> <li><code>maps/</code>: maps/geo-located data for the cities of Damascus, Hama, and Homs - mostly as GeoJSON.</li> <li><code>plots/</code>: plots of time series of various food prices across <em>Bilād al-Shām</em>.</li> <li><code>publication/</code>: the final plots used for the publication.</li> <li><code>r/</code>: R scripts for plotting the price data on a timeline.</li> </ul>
Figure 4 in The song structure and repertoire size of Daurian Redstarts (Phoenicurus auroreus) in South Korea
Figure 4. Cumulative plot showing the number of new syllable types produced by 20 Daurian Redstart males against the nth bird sampled in South Korea. The number of the new syllable types leveled off at approximately the 15th male sampled; the equation shown is for the curve-fit.
Figure 5 in The song structure and repertoire size of Daurian Redstarts (Phoenicurus auroreus) in South Korea
Figure 5. Cumulative number of syllable types per each song part produced by 20 Daurian Redstart males against the nth bird sampled in South Korea.
Figure 3 in The song structure and repertoire size of Daurian Redstarts (Phoenicurus auroreus) in South Korea
Figure 3. Cumulative plot showing the number of syllable types produced by 20 Daurian Redstart males against the nth song sampled. Most of the songs reached the peak syllable types at approximately the 18th song. A1 to E4 is the ID of each individual.
Figure S1 in The song structure and repertoire size of Daurian Redstarts (Phoenicurus auroreus) in South Korea
Figure S1. Syllable types in whistle, subsyllable, and syllable parts of 400 songs of 20 individuals from five population samples in 2015 and 2016 in South Korea.
Fig. 1 in Behavioral repertoires and interactions between Apis mellifera (Hymenoptera: Apidae) and the native bee Lithurgus littoralis (Hymenoptera: Megachilidae) in flowers of Opuntia huajuapensis (Cactaceae) in the Tehuacán desert
Fig. 1. Behavior accumulation curves of bees in 150 flowers of Opuntia huajuapensis. A: Apis mellifera (1) and Lithurgus littoralis (2). B: L. littoralis females (3) and L. littoralis males (4). Dotted lines indicate the 95% confidence intervals.
Fig. 2 in Behavioral repertoires and interactions between Apis mellifera (Hymenoptera: Apidae) and the native bee Lithurgus littoralis (Hymenoptera: Megachilidae) in flowers of Opuntia huajuapensis (Cactaceae) in the Tehuacán desert
Fig. 2. Time spent (A) and mean feeding duration (B) in flowers of Opuntia huajuapensis by Apis mellifera females and Lithurgus littoralis females and males. No A. mellifera males were recorded at any time during the experiment. Vertical bars indicate 95% confidence intervals.
Immune repertoire profiling reveals its clinical application potential and triggers for Neuromyelitis Optica Spectrum Disorders
<p>This dataset, containing TCRbeta-chain sequcening data of Neuromyelitis Optica Spectrum Disorders patients and healthy, is the basis for the following publication: "Immune repertoire profiling reveals its clinical application potential and triggers for Neuromyelitis Optica Spectrum Disorders".</p>
Figure 2 in Vocalizations of the Brazilian torrent frog Hylodes heyeri (Anura: Hylodidae): Repertoire and influence of air temperature on advertisement call variation
Figure 2. Territorial call of Hylodes heyeri from the Municipality of Morretes, Parana´, Brazil. Recorded on 11 January 2002, at 22.4°C. (A) Power spectrum; (B) spectrogram; (C) oscillogram.
Figure 3 in Vocalizations of the Brazilian torrent frog Hylodes heyeri (Anura: Hylodidae): Repertoire and influence of air temperature on advertisement call variation
Figure 3. Mean number of advertisement calls (bars) emitted by males of Hylodes heyeri during 5 min of monitoring each hour, and air temperature (line).
Supplement: Extensive diversity and rapid turnover of phage defense repertoires in cheese-associated bacterial communities
<p>Background<br> Phages are key drivers of genomic diversity in bacterial populations as they impose strong selective pressure on the evolution of bacterial defense mechanisms across closely related strains. The pan-immunity model suggests that such diversity is maintained because the effective immune system of a bacterial species is the one distributed across all strains present in the community. However, only few studies have analyzed the distribution of bacterial defense systems at the community-level, mostly focusing on CRISPR and comparing samples from complex environments. Here, we studied 2778 bacterial genomes and 188 metagenomes from cheese-associated communities, which are dominated by a few bacterial taxa and occur in relatively stable environments.</p> <p>Results<br> We corroborate previous laboratory findings that in cheese-associated communities nearly identical strains contain diverse and highly variable arsenals of innate and adaptive (i.e., CRISPR-Cas) immunity systems suggesting rapid turnover. CRISPR spacer abundance correlated with the abundance of matching target sequences across the metagenomes providing evidence that the identified defense repertoires are functional and under selection. While these characteristics align with the pan-immunity model, the detected CRISPR spacers only covered a subset of the phages previously identified in cheese, providing evidence that CRISPR does not enable complete immunity against all phages, and that the innate immune mechanisms may have complementary roles.</p> <p>Conclusions<br> Our findings show that the evolution of bacterial defense mechanisms is a highly dynamic process and highlight that experimentally tractable, low complexity communities such as those found in cheese, can help to understand ecological and molecular processes underlying phage-defense system relationships. These findings can have implications for the design of robust synthetic communities used in biotechnology and the food industry.</p>
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.