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1,034 results for “HOT”
Results of surface hot-in place recycling (remix) of modified and alternative asphalt mixtures in Finland. Part II: Bitumen scale
<p>The following material is included in a digital appendix.</p> <ul> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Appendix%201.%20FT-IR.pdf?versionId=6ea761b1-a830-4e01-a761-f103373497ce">Appendix 1</a>:</strong> FT-IR spectra of all bitumens before and after REM/RUT.</li> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Appendix%202.%20Gradations.pdf?versionId=b8b1b0b0-d421-42f8-84ef-728cb1acce33">Appendix 2</a>:</strong> Gradations of the specimens before and after REM/RUT (two specimens per material).</li> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Appendix%203.%20DSR%20test%20results.pdf?versionId=cd3ccf9e-a264-458c-9d54-fcfbca40ec1f">Appendix 3</a>:</strong> DSR test data. Complex shear modulus (G*), phase angle (δ), and Black diagram for all materials before and after REM/RUT.</li> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Appendix%204a.%20DSR%20master%20curves%20(8-mm).pdf?versionId=44f9c881-912f-4f35-b4c7-193d88d5572c">Appendix 4a</a>:</strong> DSR shifted data, and master (fitted) curves, 8-mm, summary before and after REM/RUT.</li> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Appendix%204b.%20DSR%20master%20curves%20(4-mm).pdf?versionId=30952a8f-029b-409f-ba87-da9d9972880b">Appendix 4b</a>:</strong> DSR shifted data, and master (fitted) curves, 4-mm, summary before and after REM/RUT.</li> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Appendix%205.%20WLF%20and%20sigmoidal.pdf?versionId=fb826979-868d-47f4-8acd-697550000f87">Appendix 5</a>:</strong> WLF fitting constants (Table A1), and parameters for sigmoidal curves (Table A2).</li> <li><strong><a href="https://zenodo.org/api/files/a34688f2-e7e5-43a4-bcb7-a4238429f56b/Data%20II%20-%20Read%20me.pdf?versionId=c40871da-deff-456f-b4d6-a6136e9c294a">Database</a>:</strong> Laboratory data (Excel files, brief read-me guide) of all tests at bitumen scale. </li> </ul>
Results of surface hot-in place recycling (remix) of modified and alternative asphalt mixtures in Finland. Part I: Mixture scale
<p>The following material is included as a digital appendix:</p> <ul> <li><strong><a href="https://zenodo.org/api/files/ecff4755-8652-4c3b-9dcf-28cf09002c98/Appendix.%20Cores%20and%20plots%20of%20test%20results.pdf?versionId=39468d84-e556-41c4-b86c-0ccdb2d5a36e">Appendix</a>. </strong>Images of selected cores, and test results for all specimens at the mixture scale (plots): bulk density, air voids, strength, stiffness, Prall abrasion, and creep permanent deformation.</li> <li><a href="https://zenodo.org/api/files/ecff4755-8652-4c3b-9dcf-28cf09002c98/Data%20I%20-%20Read%20me.pdf?versionId=e500484c-10df-417a-bc1c-d2017d70d64f"><strong>Database</strong></a> with laboratory test data and measurements (mixture scale). Two Excel files and brief read-me guide.</li> </ul>
Electronic Supplementary Information: Impact of a suspension drop onto a hot substrate: diminution of splash and prevention of film boiling
<p>This database includes Electronic Supplementary Information for <em>Soft Matter </em>manuscript: Impact of a suspension drop onto a hot substrate: diminution of splash and prevention of film boiling. </p> <p>The supplementary videos to Fig. 4: </p> <ul> <li>supplementary_video_fig_4_a-d.mp4</li> <li>supplementary_video_fig_4_e-h.mp4</li> <li>supplementary_video_fig_4_i-l.mp4</li> </ul> <p> </p> <p>and the supplementary videos to Fig. 12 (please do not regard to the file name)</p> <ul> <li>supplementary_video_fig_11_a-d.mp4</li> <li>supplementary_video_fig_11_e-h.mp4</li> <li>supplementary_video_fig_11_i-l.mp4</li> </ul>
Colman et al. Subsurface Archaea Associated with Rapid Geobiological Change in a Model Yellowstone Hot Spring - Supplementary Datasets
<p>These datasets comprise the supplementary datasets for Colman et al. (2022) Subsurface Archaea Associated with Rapid Geobiological Change in a Model Yellowstone Hot Spring, <em>Communications Earth & Environment </em></p>
Hot Wheels fiat uno, high poly model
inspired by the hot wheels fiat uno for coleccionist, high poly model, made in blender and substance painter Source: Objaverse 1.0 / Sketchfab
Hot Dry Noodles _ 3D
I did this 3D art and animation study that caught my eyes in this pandemic time. It shows a bowl of Wuhan's noodles being quarantined in a hospital room. It's hard time, let's support each other. Special thank's to Sayuri Watanabe. Illustrator: Chen Xiaotao Source: Objaverse 1.0 / Sketchfab
SSU rRNA Gene Analysis of the Environmental and Biological Influences on Carbonate Precipitation within Hot Spring Microbial Mats in Little Hot Creek, CA
<p>R Markdown notebook and all data required to recreate the 16S rRNA Gene analysis figures found in Wilmeth et. al (In Submission), including mapping files, BIOM files, and R markdown notebook. </p>
Diversity, adaptation and metabolic potential of the microbiome in biofilms from a high-temperature hot spring
<p>Hot spring microbiomes have garnered significant research attention from exploring the diversity of prokaryotic communities to genes and functional potentials. While cyanobacteria-rich biofilms, characterized by warm temperatures, have been extensively studied, there is limited investigation into high-temperature streamer biofilm communities (SBC) devoid of photosynthetic ability. Here, we studied the biofilm of a Dusun Tua (DT) hot spring with a temperature of 75°C and a pH of 7.6. This grey-tan colored biofilm appeared at sites where water had slowed down following the deposition of plants and inorganic debris along the hot spring after a flood event. Amplicon sequencing of V3-V4 regions of 16S rRNA showed that dominant phyla included the Aquificota, Chloroflexota, and Desulfobacterota together with other abundant amplicon sequence variants from the Bacteroidota, Deinococcota, Hydrothermae and Armatimonadota. These microbial populations appeared to be distinct from other reported SBCs from Yellowstone National Park in the USA and Rehai Hot Springs in China. Additional shotgun sequencing of the DT biofilm revealed functional insights which were compared to counterparts obtained from low-temperature biofilms to identify possible thermophilic traits. GC content of tRNA and amino acid preferences were found to be clear indicators of thermophilicity. However, other signatures such as reverse gyrase, heat shock proteins, and average GC content of the genome may not be reliable indicators. The genome-centric analyses revealed that DT biofilm members were primarily chemo-organoheterotrophic, chemolithoautotrophic, and chemolithoheterotrophic. We speculate that the biofilm could utilize plant litter as carbon sources, but the efficiency of this process is estimated to be low due to rapid water flux that would rapidly remove dissolved organic carbon. The results of this study enhance current understanding of microbial diversity, thermal adaptation and metabolic processes related to carbon, nitrogen, sulfur and other metabolisms for hot springs in tropical climates with high allochthonous plant litter inputs.</p>
Fig. 4 in Urogenital schistosomiasis transmission on Unguja Island, Zanzibar: characterisation of persistent hot-spots
Fig. 4 Number of B. globosus and B. globosus shedding S. haematobium cercariae per shehia in Unguja
Reproduction package for Spectroscopically resolved partial phase curve of the rapid heating and cooling of the highly-eccentric Hot Jupiter HAT-P-2b with WFC3
<p>This is a basic reproduction package for the paper "<span>Spectroscopically resolved partial phase curve of the rapid heating and cooling of the highly-eccentric Hot Jupiter </span><span>HAT-P-2b with WFC3</span>"</p> <p>by [Jacobs, B.; Désert, J. -M.; Lewis, N. et al. (2024)]</p> <p>Abstract:</p> <p><span>The extreme environments of transiting close-in exoplanets in highly-eccentric orbits serve as ideal labo</span><span>ratories for testing exo-atmospheric physics. Spectroscopically resolved phase curves not only allow for the </span><span>characterization of their thermal response to irradiation changes but also unveil phase-dependent atmospheric </span><span>chemistry and dynamics.</span></p> <p><span>We observed a partial phase curve of the highly-eccentric close-in giant planet HAT-P-2b (</span><span>e</span> <span>=</span> <span>0</span><span>.</span><span>51023)</span><br><span>with the Wide Field Camera 3 (WFC3) aboard the</span> <span>Hubble Space Telescope</span><span>.</span> <span>Using these data, we update </span><span>the planet’s orbital parameters and radius, and we retrieve high-frequency pulsations consistent with those re</span><span>ported in Spitzer data. We find that the peak in planetary flux occurs at 6</span><span>.</span><span>7</span> <span>±</span> <span>0</span><span>.</span><span>6 hr after periastron, with a </span><span>heating timescale of 9</span><span>.</span><span>0</span><span>+</span><span>3</span><span>.</span><span>5</span><br><span>−</span><span>2</span><span>.</span><span>1</span> <span>hr, and a cooling timescale of 3</span><span>.</span><span>6</span><span>+</span><span>0</span><span>.</span><span>7</span><span>−</span><span>0</span><span>.</span><span>6</span> <span>hr. We compare the light-curve to a suite of</span><br><span>1-dimensional and 3-dimensional forward models, varying the planet’s chemical composition. The strong con</span><span>trast in flux increase and decrease timescales before and after periapse indicates an opacity term that emerges </span><span>during the planet’s heating phase. We suggest that more emerging H</span><span>−</span> <span>than expected from chemical equilibrium </span><span>models could be the reason for the mismatch between models and the data.</span></p> <p><span>We used a common-mode based method that does not assume a functional form to extract phase-resolved </span><span>spectra. The analysis of these spectra is challenging because of the unknown accuracy of the spectral slope and </span><span>absolute flux levels. The phase-resolved spectra are largely featureless, possibly indicating an inhomogeneous </span><span>dayside.</span> <span>However, we identified an anomalously high flux in the spectroscopic bin that coincides with the </span><span>hydrogen Paschen</span> <span>β</span> <span>line and that is potentially connected to the planet’s orbit.</span> <span>We exclude an instrumental </span><span>origin and we discuss several alternative, astrophysical origins.</span></p>
Hot Exciton versus Hot Exciplex TADF Mechanism – Effect of the Donor-Acceptor Functionalization Pattern on Anthracene-based Emitters
<p>output files of ADC(2) calculation of biAniIPN, biAniSul, biBeFuIPN, uniAniIPN, uniAniSul, uniBeFuIPN in vacuum, acetonitrile, and toluene.</p>
Identifying Mediterranean Hotspots: The MED-HOT Index
<p>This folder contains the data and the scripts for producing the results of the manuscript entitled "Identifying Mediterranean Hotspots: The MED-HOT Index".</p>
Fig. 1 in Redescription of Dexiotricha colpidiopsis (Kahl, 1926) Jankowski, 1964 (Ciliophora, Oligohymenophorea) from a Hot Spring in Iceland with Identification Key for Dexiotricha species
Fig. 1. Sampling site in hot spring in Iceland (A, B) and sapropel sample (C).
Data and code for "Observation and stabilization of photonic Fock states in a hot radio-frequency resonator"
<p>This folder contains all the code necessary to produce the figures of the paper entitled "Observation and stabilization of photonic Fock states in a hot radio-frequency resonator" written by Mario F. Gely, Marios Kounalakis, Christian Dickel, Jacob Dalle, Rémy Vatré, Brian Baker, Mark D. Jenkins and Gary A. Steele</p> <p><strong>Content: </strong></p> <p>data/<br> Contains multiple folders each corresponding to a measurement. <br> These are all time stamped. <br> Inside each of these folders is a python file which corresponds to the measurement script run using the open source STlab library (see version closest to the time stamp on https://github.com/steelelabgit/stlab).<br> There is also a DAT file containing the measurement data and an accompanying text file which provides the name and end values of the swept parameters<br> This data will be opened and manipulated in the ipython notebooks</p> <p>analysis_results/<br> Contains the results of the ipython notebooks _*.ipynb<br> These are run on a computer cluster and generate information used in other ipython notebooks</p> <p>adaptive_rwa_solver_bootstrap_diagonal*.py<br> Libraries used to run the adaptive rotating wave approximation simulations</p> <p>load_data.py<br> Modules used to load data from data/</p> <p>plotting_functions.py<br> Modules used to plot 3D data as well as to generate default matplotlib settings</p> <p>_*.ipynb<br> Notebooks run on a computer cluster (using python 2.7) to generate the information stored in analysis_results/ and used in other ipython notebooks</p> <p>1D_S4BC_S9.ipynb<br> Notebook which generates the figures 1D, S4(B,C) and S9 of the paper. <br> Other notebooks follow this same naming convention</p> <p>*.pdf<br> *.png<br> Plots generated from the ipython notebooks which are then imported in Adobe Illustrator to construct figures</p>
The OmegaWhite Survey for Short-period Variable Stars. V. Discovery of an Ultracompact Hot Subdwarf Binary with a Compact Companion in a 44-minute Orbit
<p>MESA inlists and run_star_extras associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2017ApJ...851...28K">Kupfer et al. (2017)</a>. MESA version 9793.</p> <p>Publication DOI: <a href="https://doi.org/10.3847/1538-4357/aa9522">10.3847/1538-4357/aa9522</a></p>
PTF1 J082340.04+081936.5: A Hot Subdwarf B Star with a Low-mass White Dwarf Companion in an 87-minute Orbit
<p>MESA inlists and run_star_extras associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2017ApJ...835..131K">Kupfer et al. (2017)</a>. MESA version 8118.</p> <p>Publication DOI: <a href="https://doi.org/10.3847/1538-4357/835/2/131">10.3847/1538-4357/835/2/131</a></p>
Structure and Evolution of Internally Heated Hot Jupiters
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/#abs/2017ApJ...844...94K/abstract">Komacek & Youdin (2017)</a>. MESA version 7624.</p> <p>Publication DOI: <a href="https://doi.org/10.3847/1538-4357/aa7b75">10.3847/1538-4357/aa7b75</a></p>
Identifying Hot Spots in Rural Community Resilience in Scotland - database
<p>Database of nearest resilience infrastructure from each Scottish postcode, commissioned and funded by the National Centre for Resilience.</p> <p>Data are in <a href="http://www.geopackage.org/">geopackage format</a>, which is curated by the open geospatial consortium. The data format can be read by GDAL, and hence all major analytical and spatial software (e.g. R, Python, QGIS). The database has two main tables:</p> <ul> <li>datazones - a spatial table of boundary polygons. Available from <a href="https://data.gov.uk/dataset/ab9f1f20-3b7f-4efa-9bd2-239acf63b540/data-zone-boundaries-2011">data.gov.uk</a> under the <a href="http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/">open government licence</a>.</li> <li>postcode_to_POI - a table of postcode to POI type distances with lookups for a range of administrative boundaries.</li> </ul> <p>An example query (in R) is shown in 10.5281/zenodo.3386179 to access data in the geopackage.</p> <p>The database was built using the following datasets:</p> <ul> <li><a href="https://www.ordnancesurvey.co.uk/business-and-government/products/os-open-roads.html">Ordnance Survey Open Roads</a></li> <li><a href="https://www.ordnancesurvey.co.uk/business-and-government/products/code-point-open.html">Ordnance Survey Code-Point Open</a></li> <li><a href="https://digimap.edina.ac.uk/webhelp/os/data_information/os_products/points_of_interest.htm">Ordnance Survey Points of Interest</a></li> </ul> <p>The following copyright licences apply to this dataset:</p> <p>© Crown Copyright and Database Right 2019. Ordnance Survey (Digimap Licence).<br> This material includes data licensed from PointX Database Right/Copyright 2019.<br> Contains NRS data © Crown copyright and database right 2019.</p>
Self-Healing Concrete using Encapsulated Bacterial Spores in a Simulated Hot Subtropical Climate
<p>Corresponding data set for Tran-SET Project No. 18CLSU02. Abstract of the final report is stated below for reference:</p> <p>"Bacterial concrete has become one of the most promising self-healing alternatives due to its capability to seal crack widths through microbial induced calcite precipitation (MICP). In this study, two bacterial strains were embedded at varying dosages (by weight of cement) in concrete. Beam specimens were used to identify the maximum crack-sealing efficiency, while cylinder samples were used to determine their effects on the intrinsic mechanical properties, as well as its stiffness recovery over time after inducing damage. The concrete specimens were cured in wet-dry cycles to determine their feasibility in Region 6. The results showed that the specimen groups with the highest calcium alginate concentrations (including the control specimens with embedded alginate beads but no bacteria) resulted in higher increases in stiffness recovery. Similarly, the beam samples containing alginate beads (also including the Control 3%C specimen group) had superior crack-healing efficiencies than the control samples without alginate beads (Control NC). This was attributed to the fact that the alginate beads act as a reservoir that can further enhance the autogenous healing capability of concrete. Overall, further research is recommended to verify whether the promising results reported in the literature (relating to self-healing mortar) correlate with concrete proportionally. In addition, there is a need to explore the factors that can maximize the self-healing mechanism of bio concrete through MICP, whether an alternative encapsulation mechanism, nutrient selection, curing regime, or bacterial strain is desired."</p>
Fig. 14 in THE BUXA TIGER RESERVE AS A 'HOT SPOT' OF ANT DIVERSITY IN WEST BENGAL STATE (HYMENOPTERA: FORMICIDAE)
Fig. 14. Number of genera and species of ants known from India, West Bengal and Buxa Tiger Reserve.
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.