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1,034 results for “HOT”
et al. 2016a:57); "Rio Curoca in the Pediva Hot Springs area" [-16.28359, 12.56106] (Ceríaco et al. 2016a:32); "Namibe Regional-naNatural Park" [-15.77386, 12.33306] (Ceríaco et al. 2016a:32). Taxonomic and distributional notes: None. MAP 222. Distribution of Trachylepis hoeschi in Angola. in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
et al. 2016a:57); "Rio Curoca in the Pediva Hot Springs area" [-16.28359, 12.56106] (Ceríaco et al. 2016a:32); "Namibe Regional-naNatural Park" [-15.77386, 12.33306] (Ceríaco et al. 2016a:32). Taxonomic and distributional notes: None. MAP 222. Distribution of Trachylepis hoeschi in Angola.
Text-fig. 3. Distribution of main types of volcanoes in the NearShore Volcanic Belt of Eastern Sikhote-Alin' (Eocene–Neogene). 1 – Central volcanoes (partly preserved); 2 – Central volcanoes (destructed); 3 – Shield and gentle sloping volcanoes with a dolerite or trachy-basaltic neck on the top; 4 – Lava and scoria cones; 5 – Pyroclastic, tuffaceous coarse- and fine-grained terrigenous sedimentary rocks, partly with plant-bearing levels; 6 – Eruption centers of plateau-basalts and the direction of lava flows; 7 – Main Late Cenozoic basaltic plateaus; 8 – Fumarol fields; 9 – Hot springs. in Mid-Latitude Palaeogene Floras Of Eurasia Bound To Volcanic Settings And Palaeoclimatic Events - Experience Obtained From The Far East Of Russia (Sikhote-Alin') And Central Europe (Bohemian Massif)
Text-fig. 3. Distribution of main types of volcanoes in the NearShore Volcanic Belt of Eastern Sikhote-Alin' (Eocene–Neogene). 1 – Central volcanoes (partly preserved); 2 – Central volcanoes (destructed); 3 – Shield and gentle sloping volcanoes with a dolerite or trachy-basaltic neck on the top; 4 – Lava and scoria cones; 5 – Pyroclastic, tuffaceous coarse- and fine-grained terrigenous sedimentary rocks, partly with plant-bearing levels; 6 – Eruption centers of plateau-basalts and the direction of lava flows; 7 – Main Late Cenozoic basaltic plateaus; 8 – Fumarol fields; 9 – Hot springs.
Figure 4 in Effect of hot-water immersion on eggs and larvae of Anastrepha grandis (Macquart, 1846) (Diptera: Tephritidae) "in vitro and on squash (Cucurbita moschata Duchesne, 1786)
Figure 4. Percent reduction of adult emergence of A. grandis when Atlas squashes infested by larvae was subjected to hydrothermal treatment at different temperatures and times of exposure. / Reducción porcentual de la emergencia de adultos de A. grandis cuando las calabazas Atlas infestadas por larvas se sometieron al tratamiento hidrotermal a diferentes temperaturas y tiempos de exposición.
Figure 2 in Effect of hot-water immersion on eggs and larvae of Anastrepha grandis (Macquart, 1846) (Diptera: Tephritidae) "in vitro and on squash (Cucurbita moschata Duchesne, 1786)
Figure 2. Percent reduction of adult emergence of A. grandis when larvae were subjected to hydrothermal treatment in vitro at different temperatures and exposure times. / Reducción porcentual de la emergencia de adultos de A. grandis cuando las larvas se sometieron al tratamiento hidrotermal in vitro a diferentes temperaturas y tiempos de exposición.
Figure 1 in Effect of hot-water immersion on eggs and larvae of Anastrepha grandis (Macquart, 1846) (Diptera: Tephritidae) "in vitro and on squash (Cucurbita moschata Duchesne, 1786)
Figure 1. Mortality (%) of A. grandis eggs in vitro subjected to hydrothermal treatment at different temperatures and times of exposure. / Mortalidad (%) de huevos de A. grandis in vitro sometidos al tratamiento hidrotermal a diferentes temperaturas y tiempos de exposición.
Figure 3 in Effect of hot-water immersion on eggs and larvae of Anastrepha grandis (Macquart, 1846) (Diptera: Tephritidae) "in vitro and on squash (Cucurbita moschata Duchesne, 1786)
Figure 3. Percent reduction of adult emergence of A. grandis when Atlas squashes infested by eggs was subjected to hydrothermal treatment at different temperatures and times of exposure. / Reducción porcentual de la emergencia de adultos de A. grandis cuando las calabazasAtlas infestadas por huevos fueron se sometieron al tratamiento hidrotermal a diferentes temperaturas y tiempos de exposición.
Figure 5 in Dragonflies from hot springs in Russia with a country-level checklist of species known to occur in geothermal environments
Figure 5. Odonata specimens from geothermal habitats of the Kunashir Island [RMBH]. (A) Mnais costalis, male, 29.vii.2011. (B) M. costalis, male, 29.vii.2011. (C) Anotogaster sieboldii, male, 26.vii.2011. (D) A. sieboldii, female, 24.vii.2011. (E) Orthetrum melania, male, 29.vii.2011. (F) O. melania, female, 29.vii.2011. (G) Sympetrum pedemontanum elatum, male, 26.vii.2011. (H) S. pedemontanum elatum, female, 24.vii.2011. Corresponding labels are presented below each specimen. (Photos: Yu. S. Kolosova).
Figure 4 in Dragonflies from hot springs in Russia with a country-level checklist of species known to occur in geothermal environments
Figure 4. Habitats, exuvium, and larva of Odonata in geothermal areas of the Kamchatka Peninsula. (A) Warm pool near the Karymshinsky hot springs, 12 June 2013. (B) Exuvium of Libellula quadrimaculata on the shore of this pool. (C) Lakelet Medvezhie in the Valley of Geysers, 13 August 2014. (D) Larva of Aeshna juncea collected from this lakelet. Scale bar = 2 mm. (Photos: O. V. Aksenova).
Figure 2. Hot spring habitats and a in Dragonflies from hot springs in Russia with a country-level checklist of species known to occur in geothermal environments
Figure 2. Hot spring habitats and a live dragonfly on the Kunashir Island. (A) Neskuchensky hot springs, a habitat of Sympetrum pedemontanum elatum, Anotogaster sieboldii, and Orthetrum melania, 26 July 2011. (B) Stolbovsky hot springs, a habitat of Mnais costalis, Anotogaster sieboldii, and Orthetrum melania, 29 July 2011. (C) Male of Orthetrum melania near the Neskuchensky hot springs, 26 July 2011. (Photos: Yu. S. Kolosova [A, C] and O. V. Aksenova [B]).
Figure 1 in Dragonflies from hot springs in Russia with a country-level checklist of species known to occur in geothermal environments
Figure 1. Map of sampling localities of Odonata in eastern Russia: Stolbovsky hot springs (1); Neskuchensky hot springs (2); Karymshinsky hot springs (3); and the Valley of Geysers (4).
Figure 3 in Dragonflies from hot springs in Russia with a country-level checklist of species known to occur in geothermal environments
Figure 3. Microhabitats in the Neskuchensky hot springs, Kunashir Island, and Odonata larvae collected from this geothermal source. (A) Scheme of microhabitats within the geothermal system with water and ground temperature measurements during the period of 24-26 July 2011 (before heavy monsoon rainfalls). The black symbols indicate collecting sites of Anotogaster sieboldii (circles) and Sympetrum pedemontanum elatum (squares) larvae. The color arrows indicate the oviposion sites of A. sieboldii before (green) and after (red) heavy monsoon rainfalls. (B) Larvae of Anotogaster sieboldii, 26 July 2011. Scale bar = 2 mm. (C) Larvae of Sympetrum pedemontanum elatum, 26 July 2011. Scale bar = 2 mm. (Photos: O. V. Aksenova).
Figure 1 in Hot spring puddling by butterflies
Figure 1. Hot spring puddling by the Chinese peacock butterfly Papilio bianor Cramer, [1777] at the travertine field of the Neskuchensky hot springs, Kunashir Island, Russian Far East, 24 July 2011. (A) Observation site on the shore of the island. (B-C) Puddling by a male butterfly on warm mineral water. A dead larva of the carrion beetle species Silpha perforata Gebler, 1832 can be seen to the right of the butterfly (bottom photo). (Photos: Yulia Kolosova [A] and Ilya V. Vikhrev [B-C]).
Figs 3–11. Ants from Buxa Tiger Reserve. 3–5 in THE BUXA TIGER RESERVE AS A 'HOT SPOT' OF ANT DIVERSITY IN WEST BENGAL STATE (HYMENOPTERA: FORMICIDAE)
Figs 3–11. Ants from Buxa Tiger Reserve. 3–5 – Calyptomyrmex friederikae Kutter, 1976; 6–8 – Dolichoderus brevis Santschi, 1920; 9–11 – Tetramorium curtulum Emery, 1895. (3, 6, 9 – body, dorsal view; 4, 7, 10 – body, lateral view; 5, 8, 11 – head, frontal view).
Supplementary material to: "Formation of low-pressure reaction textures during near-isothermal exhumation of hot orogenic crust (Bohemian Massif, Austria)"
<p>Supplemantary material to "Sorger, D., Hauzenberger, C. A., Finger, F., Linner, M., Skrzypek, E., & Schorn, S. (2024). Formation of low-pressure reaction textures during near-isothermal exhumation of hot orogenic crust (Bohemian Massif, Austria). Journal of Metamorphic Geology, 42(1), 3–34."</p>
Dataset of "Affordable metod for synthesis of composite nanoobjects from recycled materials by hot plasma arc from basic plasma cutter "
<p>Metal remnants from battery waste can be utilized in some advanced composite materials together with other materials like cerium dioxide nanoparticles which repeatedly show interesting application potential in the field of decomposition of environmental pollutants. It is important to avoid uncontrolled leakage of the nanoparticles into the environment. Therefore immobilization in composite is important. In this contribution, ceria nanoparticles were aggregated and immobilized with the addition of nanoparticles, metal sheets, and the usage of a plasma beam. The obtained material was characterized in detail using optical microscopy, XRD, SEM, and EDS. The composite was also compared to the non-treated ceria nanoparticles. The absorption of pollutant samples was performed in aqueous solutions of Eriochrome Black T. The results show promising potential considering the morphology change and aggregate formation, together with fast reaction times. </p>
Appendix Figures A.1 - A.15 of the paper "Advanced classification of hot subdwarf binaries using artificial intelligence techniques and Gaia DR3 data". This work has been accepted for publication in the journal Astronomy & Astrphysics (A&A) on September 24, 2024.
<p><strong>Figure captions:</strong></p> <p> </p> <p><strong>Fig. A.1.</strong> Heatmap with the number of common stars (true positives) labeled as binary for the five methods used.</p> <p> </p> <p><strong>Fig. A.2.</strong> Heatmap with the number of common stars (true negatives) labeled as single for the five methods used.</p> <p> </p> <p><strong>Fig. A.3.</strong> Color-magnitude diagrams, showing the 2815 stars of our sample from Sect. 3. Colors indicate the label predictions by SOM (left panel) and CNN (right panel).</p> <p> </p> <p><strong>Fig. A.4.</strong> K-S test comparing radial SOM (black) and CNN (blue).</p> <p> </p> <p><strong>Fig. A.5.</strong> Spectra of the star "LAMOSTJ112914.11+471501.7" (blue color) and in the background (gray color) the 35 stars classified as binary by Solano et al. (2022) with VOSA tools.</p> <p> </p> <p><strong>Fig. A.6.</strong> Spectra of the star "HD14829" (red color) and in the background (gray color) the 53 stars classified as single by Drilling et al. (2013).</p> <p> </p> <p><strong>Fig. A.7.</strong> Spectra of the star "Feige98" (red color) and in the background (gray color) the 53 stars classified as single by Drilling et al. (2013).</p> <p> </p> <p><strong>Fig. A.8.</strong> Spectra of the star "PG0304+184" (red color) and in the background (gray color) the 53 stars classified as single by Drilling et al. (2013).</p> <p> </p> <p><strong>Fig. A.9.</strong> Spectra of the star "PG1510+635" (red color) and in the background (gray color) the 53 stars classified as single by Drilling et al. (2013).</p> <p> </p> <p><strong>Fig. A.10.</strong> Cluster 0 of spectra (blue color) with the other spectra in the background (gray color).</p> <p> </p> <p><strong>Fig. A.11.</strong> Cluster 4 of spectra (brown color) with the other spectra in the background (gray color).</p> <p> </p> <p><strong>Fig. A.12.</strong> Cluster 1 of spectra (yellow color) with the other spectra in the background (gray color).</p> <p> </p> <p><strong>Fig. A.13.</strong> Cluster 3 of spectra (red color) with the other spectra in the background (gray color).</p> <p> </p> <p><strong>Fig. A.14.</strong> Cluster -1 of spectra (pink color) with the other spectra in the background (gray color).</p> <p> </p> <p><strong>Fig. A.15.</strong> Cluster 2 of spectra (green color) with the other spectra in the background (gray color).</p>
Spectral evolution of hot hybrid white dwarfs I. Spectral analysis
<p>Hydrogen-rich white dwarfs (WDs) comprise the majority of the WD population, but are only rarely found at the very hot end of the WD cooling sequence. A small subgroup that exhibits both hydrogen and helium lines in their spectra, the so-called hybrid (or DAO) WDs, represents the majority of hydrogen-rich WDs at effective temperatures <em>T</em>eff<em> ≈ </em>100 kK. We aim to understand the spectral evolution of hot hybrid WDs. Although small in number, they represent an evolutionary phase for most (≈ 75 %) WDs. We conducted a nonlocal thermodynamic equilibrium (NLTE) analysis with fully metal line blanketed model atmospheres for the ultraviolet (UV) and optical spectra of a sample of 19 DA and 13 DAO WDs with <em>Teff </em>> 60 kK. The UV spectra allow us to precisely measure the temperature through model fits to metal lines in different ionization stages, which enables us to place the WDs accurately on the cooling sequence. Here we present model fits to the UV and optical spectra in our sample. Aditionally, the <em>T</em>eff, log <em>g</em>, and abundance values of our sample objectss are compared to previous studies. </p>
Linked collectors and determiners for: First Canadian record of the water mite Thermacarus nevadensis Marshall, 1928 (Arachnida: Acariformes: Hydrachnidiae: Thermacaridae) from hot springs in British Columbia.
Natural history specimen data linked to collectors and determiners held within, "First Canadian record of the water mite Thermacarus nevadensis Marshall, 1928 (Arachnida: Acariformes: Hydrachnidiae: Thermacaridae) from hot springs in British Columbia". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/643d14c4-29be-4357-bbc6-ff2e5f88d55a">https://bionomia.net/dataset/643d14c4-29be-4357-bbc6-ff2e5f88d55a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/643d14c4-29be-4357-bbc6-ff2e5f88d55a">https://gbif.org/dataset/643d14c4-29be-4357-bbc6-ff2e5f88d55a</a>. Formatted as a Frictionless Data package.
Dataset of "Exciton, Biexciton, and Hot Exciton Dynamics in CsPbBr3 Colloidal Nanoplatelets"
<p>Dataset underpinning the published article:</p> <p>B. R. C. Vale; E. Socie; A. Burgos-Caminal; J. Bettini; M. A. Schiavon and J.-E. Moser.<br> Exciton, Biexciton, and Hot Exciton Dynamics in CsPbBr<sub>3</sub> Colloidal Nanoplatelets<br> <em>J. Phys. Chem. Lett. </em><strong>2020</strong>, <em>11</em>, 387-394; <a href="https://pubs.acs.org/doi/10.1021/acs.jpclett.9b03282">DOI: 10.1021/acs.jpclett.9b03282.</a>.</p>
Original Data for Manuscript "Energy and Momentum Distribution of Surface Plasmon-induced Hot Carriers Isolated via Spatiotemporal Separation"
<p>Raw data of the time-dependent energy density calculation and time-resolved photoemission electron microscopy (TR-PEEM) measurements used in the manuscript.</p> <p>A preprint of the manuscript is available on arXiv: <a href="https://arxiv.org/abs/2107.14277">2107.14277</a></p> <p>The manuscript was published in <em>ACS Nano</em> 2021, 15, 12, 19559-19569 <a href="https://doi.org/10.1021/acsnano.1c06586">10.1021/acsnano.1c06586</a></p> <p>The data is provided in hdf5 files, which were produced using the snomtools python package (<a href="https://github.com/hartelt/snomtools">availale on github</a>) and can be read with any <a href="https://support.hdfgroup.org/HDF5/tools5desc.html">hdf5 compatible software</a>. The calculated data was produced as described in Ref.1 with the parameters given in the manuscript. For the experimental data, each zip file contains the raw data (hdf5 Files) as well as the PEEM settings used (sav Files as output from the experiment control software) for the respective measurement.</p> <p>Parts of the manuscript that are generated from the calculated data [calculation_energy_density.zip]:</p> <ul> <li>Figure 2 A</li> <li>Figure S2</li> </ul> <p>Parts of the manuscript that are evaluated from the PEEM real space dataset [PEEM_realspace.zip]:</p> <ul> <li>Figure 2 B</li> <li>Figure 3</li> <li>Figure S1</li> <li>Figure S3</li> <li>Figure S4</li> <li>Movie S2 [timeseries_binned_fermi.avi] in the supplementary material</li> </ul> <p>Parts of the manuscript that are evaluated from the PEEM momentum space (momentum microscopy) SPP dataset [PEEM_k-space_timesteps_SPP.zip]:</p> <ul> <li>Figure 4 (in combination with the pump pulse reference dataset)</li> <li>Figure S5 B</li> <li>Figure S6 B</li> <li>Figure S7 B</li> </ul> <p>Parts of the manuscript that are evaluated from the PEEM momentum space (momentum microscopy) pump pulse reference dataset [PEEM_k-space_timesteps_pump.zip]:</p> <ul> <li>Figure 4 (in combination with the SPP dataset)</li> <li>Figure S5 A</li> <li>Figure S6 A</li> <li>Figure S7 A</li> </ul> <p>Parts of the manuscript that are evaluated from the PEEM momentum space (momentum microscopy) data of the full timetrace, combining SPP dataset [PEEM_k-space_full-timetrace_SPP.zip] and pump pulse reference dataset [PEEM_k-space_full-timetrace_pump.zip]:</p> <ul> <li>Figure S8</li> </ul>
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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)
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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.