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179 results for “niños”
Figure 4 from: Canelón DS, Niño SM, Dorr LJ, Caraballo-Ortiz MA (2020) Two new species of Dendrophthora (Viscaceae) from the Venezuelan Andes. PhytoKeys 140: 1-10. https://doi.org/10.3897/phytokeys.140.48865
Figure 4 Dendrophthora coronata. A Leaf and terminal inflorescences B Cataphylls at the base of a node C Coroniform trichomes D Complete pistillate inflorescence E–G Segments of a pistillate inflorescence H, I Flowers with vestigial anthers J–L Mature fruits. (Source: Dorr et al. 8988, US).
How is copepod functional diversity shaped by 2015-2016 El Niño and seasonal water masses in a coastal ecosystem of Southwest Atlantic?
<p>Figure S1: a) El Niño-Southern Oscillation episodes. Index values (Oceanic Niño Index - ONI) of +0.5 or higher indicate El Niño; values of -0.5 or lower indicate La Niña (dotted line). Transparent gray shade represents the period of interest (2014-2016), b) Pixel contour plots show satellite-based sea surface temperature monthly means in the Arvoredo MPA surroundings. Data visualization standard plots from the zooplankton time series adopted by SCOR WG125 (Mackas et al., 2012) and performed at http://www.st.nmfs.noaa.gov/copepod/.</p><p>Table S1 – Taxa code and functional traits of copepod species during the summer and winter of 2014, 2015, and 2016 in the Arvoredo MPA surroundings.</p><p>Table S2 – Total and mean abundance (ind. m-3), standard deviation (SD), relative abundance (RA %), and frequency of occurrence (FO %) of copepod species during the summer and winter of 2014, 2015, and 2016 in the Arvoredo MPA surroundings.</p><p> </p>
Distinct Impacts of the Central and Eastern Atlantic Niño on the European Climate
<p>Forcing and Output data of Linear Baroclinic Model (LBM). </p>
Source Data for "Explainable El Niño predictability from climate mode interactions"
<p>This repository include the figure source data for the paper "<a href="https://doi.org/10.1038/s41586-024-07534-6">Explainable El Niño predictability from climate mode interactions</a>" (Zhao et al. 2024).</p> <p>Zhao, S., Jin, F.-F., Stuecker, M. F., Thompson, P. R., Kug, J.-S., McPhaden, M. J., Cane, M.A., Wittenberg, A.T., Cai, W., (2024). Explainable El Niño predictability from climate mode interactions. <em>Nature</em>. <a href="https://doi.org/10.1038/s41586-024-07534-6">https://doi.org/10.1038/s41586-024-07534-6</a></p> <p><strong>Files</strong>:</p> <p>SourceDataFig1 for Figure 1</p> <p>SourceDataFig2 for Figure 2</p> <p>SourceDataFig3 for Figure 3</p> <p>SourceDataFig4 for Figure 4</p> <p>SourceDataFig5 for Figure 5</p> <p> </p>
Distinct impacts of major El Niño events on Arctic temperatures due to differences in eastern tropical Pacific sea surface temperatures
<p>The El Niño Southern Oscillation (ENSO) is a climate mode in the tropical Pacific. The ENSO teleconnections are known to affect Arctic temperature, however, the robustness of this relationship remains debated. Here, we find that Arctic surface temperatures during three major El Niño events are remarkably well simulated by a state-of-the-art model when nudged to the observed pan-tropical sea surface temperatures (SSTs). SST perturbation experiments show that the 1982-83 warm pan-Arctic and the 1997-98 cold pan-Arctic during winter can be explained by far eastern equatorial Pacific SSTs being higher during 1997-98 than during 1982-83. Consistently, during the 2017-18 La Niña, the unusually low SSTs in the same region contributed to the pan-Arctic warming. These pan-Arctic responses to the SSTs are realized through latent heating anomalies over the western and eastern tropical Pacific. These results highlight the importance of accurately representing SST amplitude and pattern for Arctic climate predictions.</p>
Figure 3 from: Lucio-García JN, Sánchez-Reyes UJ, Horta-Vega JV, Reyes-Muñoz JL, Clark SM, Niño-Maldonado S (2022) Seasonal and microclimatic effects on leaf beetles (Coleoptera, Chrysomelidae) in a tropical forest fragment in northeastern Mexico. ZooKeys 1080: 21-52. https://doi.org/10.3897/zookeys.1080.76522
Figure 3 Individual dispersion of leaf beetle species whose association for microclimatic variables was significant in the dry season AAcallepitrix sp. 7 BAlagoasa trifasciataCBrachycoryna pumilaDCentralaphthona diversaEChaetocnema sp. 1 FEpitrix sp. 1 GSyphrea sp. 1. At each species panel: tiny, black dots represent the sampling units; gray circles represent the presence of the species in the sample, and the size of the circle is proportional to its abundance; straight lines represent vectors and indicate the dispersion of the species from the average position (centroid, pointed to by the red arrow) towards each of the sampling units where it was recorded; and ellipses represent the concentration of 95% of the specimens of the species. H canonical correlation values (loadings) between microclimatic variables and the abundance of Chrysomelidae. Abbreviations: MW: Maximum wind speed, AW: average wind speed, Tem: temperature, RH: relative humidity, HI: heat index, DP: dew point, Ev: evapotranspiration.
Figure 4 from: Lucio-García JN, Sánchez-Reyes UJ, Horta-Vega JV, Reyes-Muñoz JL, Clark SM, Niño-Maldonado S (2022) Seasonal and microclimatic effects on leaf beetles (Coleoptera, Chrysomelidae) in a tropical forest fragment in northeastern Mexico. ZooKeys 1080: 21-52. https://doi.org/10.3897/zookeys.1080.76522
Figure 4 Environmental ranges of leaf beetles during the rainy season. Abbreviations: Labi sutu (Labidomera suturella), Centra dive (Centralaphthona diversa), Mono bume (Monomacra bumeliae), Walte sp. 1 (Walterianella sp. 1), Alag trif (Alagoasa trifasciata), Zeno inco (Zenocolaspis inconstans).
Figure 2 from: Lucio-García JN, Sánchez-Reyes UJ, Horta-Vega JV, Reyes-Muñoz JL, Clark SM, Niño-Maldonado S (2022) Seasonal and microclimatic effects on leaf beetles (Coleoptera, Chrysomelidae) in a tropical forest fragment in northeastern Mexico. ZooKeys 1080: 21-52. https://doi.org/10.3897/zookeys.1080.76522
Figure 2 Individual dispersion of leaf beetle species whose association for microclimatic variables was significant in the rainy season AAlagoasa trifasciataBCentralaphthona diversaCLabidomera suturellaDMonomacra bumeliaeEWalterianella sp. 1 FZenocolaspis inconstans. At each species panel: the gray circles represent the presence of the species in the sample, and the size of the circle is proportional to its abundance; straight lines represent vectors and indicate the dispersion of the species from the average position (centroid) towards each of the evaluation units where it was recorded; and ellipses represent the concentration of 95% of the specimens of the species. G canonical correlation values (loadings) between microclimatic variables and the abundance of Chrysomelidae. Abbreviations: MW: Maximum wind speed, AW: average wind speed, Tem: temperature, RH: relative humidity, HI: heat index, DP: dew point, Ev: evapotranspiration.
Figure 1 from: Lucio-García JN, Sánchez-Reyes UJ, Horta-Vega JV, Reyes-Muñoz JL, Clark SM, Niño-Maldonado S (2022) Seasonal and microclimatic effects on leaf beetles (Coleoptera, Chrysomelidae) in a tropical forest fragment in northeastern Mexico. ZooKeys 1080: 21-52. https://doi.org/10.3897/zookeys.1080.76522
Figure 1 Location of the study area. A Ejido Santa Ana (red point) in Tamaulipas State, Mexico BNPA Altas Cumbres (red polygon) within Victoria municipality in Tamaulipas C Distribution of the sampling plots (blue squares) in the semideciduous tropical forest.
Figure 5 from: Lucio-García JN, Sánchez-Reyes UJ, Horta-Vega JV, Reyes-Muñoz JL, Clark SM, Niño-Maldonado S (2022) Seasonal and microclimatic effects on leaf beetles (Coleoptera, Chrysomelidae) in a tropical forest fragment in northeastern Mexico. ZooKeys 1080: 21-52. https://doi.org/10.3897/zookeys.1080.76522
Figure 5 Environmental ranges of leaf beetles during the dry season. Abbreviations: Chae sp. 1 (Chaetocnema sp. 1), Syph sp. 1 (Syphrea sp. 1), Acall sp. 7 (Acallepitrix sp. 7), Brach pumi (Brachycoryna pumila), Epit sp. 1 (Epitrix sp. 1), Centra dive (Centralaphthona diversa), Alag trif (Alagoasa trifasciata).
Conan, el niño del futuro (1978): alegoría de la lucha contra el sistema hegemónico
<p>Esta es una ponencia expuesta y subida en formato audiovisual.</p>
FIGURE 2 in Heterobranch Sea Slug Range Shifts in the Northeast Pacific Ocean associated with the 2015-16 El Niño
FIGURE 2. Nudibranch sea slugs found at new northern localities in the Northeastern Pacific Ocean, 2015–2017. A Doris cf. pickensi, Morro Bay, California, 25 May 2016. Image by CH. B Doriopsilla albopunctata, Whiskey Creek, Curry Co., Oregon, 19 May 2017. Image by NT. C Doriopsilla fulva, Netarts Bay, Oregon, 16 July 2016. Image by Todd Cliff. D Hermissenda opalescens, Box Canyon, Neah Bay, Washington, 20 August 2015. Image by Doug Miller.
FIGURE 1 in Heterobranch Sea Slug Range Shifts in the Northeast Pacific Ocean associated with the 2015-16 El Niño
FIGURE 1. Heterobranch sea slugs found at new northernmost localities in the Northeastern Pacific Ocean, 2015–2017. A Okenia angelensis, Miwok Beach, Sonoma Co., California, 27 May 2017. Image by Colby Davidson. B Acanthodoris rhodoceras, Chup Point, Barkley Sound, Vancouver Island, British Columbia, 21 May 2018. Image by Peter Mieras/subvisionproductions.com. C Polycera atra, Lemmens Inlet, Clayoquot Sound, Vancouver Island, British Columbia, 25 July 2015. Inset: tail. Images by Brandon Exner. D Thordisa rubescens, Santa Cruz Island, California, 1 November 2017. Image by Kenan Chan/Channel Islands National Park.
Figure 3 in Heterobranch Sea Slug Range Shifts in the Northeast Pacific Ocean associated with the 2015-16 El Niño
Figure 3. Nudibranch sea slugs found at new northern localities in the Northeastern Pacific Ocean, 2015–2017. A Hermosita hakunamatata, La Bocana, Bahía de Magdalena, Baja California Sur, Mexico, 1 September 2015. Image by CH. B Phidiana hiltoni, Dillon Beach, California, 30 April 2017. Image by DM. C Taringa aivica, Mission Bay, San Diego, California, 14 June 2018. Image by CH. D Diaphoreolis lagunae, Whiskey Creek, Curry Co., Oregon, 19 May 2017 (grid squares 2 mm on a side). Image by NT.
Figure 4 from: Sánchez-Reyes UJ, Niño-Maldonado S, Clark SM, Barrientos-Lozano L, Almaguer-Sierra P (2019) Successional and seasonal changes of leaf beetles and their indicator value in a fragmented low thorn forest of northeastern Mexico (Coleoptera, Chrysomelidae). ZooKeys 825: 71-103. https://doi.org/10.3897/zookeys.825.30455
Figure 4 - Cluster analysis of leaf beetle composition between succession and seasonal categories (rainy and dry) in a low thorn forest in northeastern Mexico. The dotted line indicates the delimitation of the groups.
Figure 1 from: Sánchez-Reyes UJ, Niño-Maldonado S, Clark SM, Barrientos-Lozano L, Almaguer-Sierra P (2019) Successional and seasonal changes of leaf beetles and their indicator value in a fragmented low thorn forest of northeastern Mexico (Coleoptera, Chrysomelidae). ZooKeys 825: 71-103. https://doi.org/10.3897/zookeys.825.30455
Figure 1 - Location of the low thorn forest fragment in northeastern Mexico. A Tamaulipas, Mexico B location of the fragment within the State C detailed location of the LTF fragment in the foothills of the Sierra Madre Oriental, north of the Natural Protected Area Altas Cumbres.
Figure 6 from: Sánchez-Reyes UJ, Niño-Maldonado S, Clark SM, Barrientos-Lozano L, Almaguer-Sierra P (2019) Successional and seasonal changes of leaf beetles and their indicator value in a fragmented low thorn forest of northeastern Mexico (Coleoptera, Chrysomelidae). ZooKeys 825: 71-103. https://doi.org/10.3897/zookeys.825.30455
Figure 6 - Chrysomelidae species with significant indicator value of successional time in a low thorn forest fragment in northeastern Mexico. A Dysphenges sp. 1 B Epitrix sp. 1 C Epitrix sp. 2 D Epitrix sp. 3 E Epitrix sp. 4 F Helocassis clavata (Fabricius, 1798) G Heterispa vinula (Erichson, 1847) H Margaridisa sp. 1 I Parchicola sp. 1 J Parchicola sp. 2 K Plagiodera thymaloides Stål, 1860 L Sumitrosis inaequalis (Weber, 1801). Scale bar: 1 mm.
Figure 2 from: Sánchez-Reyes UJ, Niño-Maldonado S, Clark SM, Barrientos-Lozano L, Almaguer-Sierra P (2019) Successional and seasonal changes of leaf beetles and their indicator value in a fragmented low thorn forest of northeastern Mexico (Coleoptera, Chrysomelidae). ZooKeys 825: 71-103. https://doi.org/10.3897/zookeys.825.30455
Figure 2 - Successional gradient of low thorn forest in northeastern Mexico, and location of the sampling plots.
Figure 3 from: Sánchez-Reyes UJ, Niño-Maldonado S, Clark SM, Barrientos-Lozano L, Almaguer-Sierra P (2019) Successional and seasonal changes of leaf beetles and their indicator value in a fragmented low thorn forest of northeastern Mexico (Coleoptera, Chrysomelidae). ZooKeys 825: 71-103. https://doi.org/10.3897/zookeys.825.30455
Figure 3 - Seasonal variation of community parameters of Chrysomelidae in a successional gradient of low thorn forest in northeastern Mexico. Different letters between bars indicate significant differences.
Figure 7 from: Sánchez-Reyes UJ, Niño-Maldonado S, Clark SM, Barrientos-Lozano L, Almaguer-Sierra P (2019) Successional and seasonal changes of leaf beetles and their indicator value in a fragmented low thorn forest of northeastern Mexico (Coleoptera, Chrysomelidae). ZooKeys 825: 71-103. https://doi.org/10.3897/zookeys.825.30455
Figure 7 - Suggested species of Chrysomelidae for evaluating successional time and environmental monitoring of low thorn forest in northeastern Mexico. A Centralaphthona diversa (Baly, 1877) B Cyclotrypema furcata (Olivier, 1808) C Heterispa vinula (Erichson, 1847) D Acrocyum dorsalis Jacoby, 1885.
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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)
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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.