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3,018 results for “aire”
Figure 1 in Air sac attachments or tendon scars: the distinction between soft tissue traces in archosaur bone
Figure 1. Lamellar bone fibres in an anhanguerid pterosaur ulna (DGEO-CTG-UFPE 7516; A-F) and in a spinosaurine theropod tibia (LPP-PV-0042; G-L). Note that these fibres are only visible at high magnifications (100×; arrowheads). Silhouettes in A and G indicate sampled elements (not to scale; art by Felipe A. Elias). All polarized light. Crossed nicols in A-E and G-L. Parallel nicols in F. Compensator in A-D, G-I and L. The relative angle to the cortical surface is approximately 80° in A, B; 340° in C; 290° in D-F; 120° in G-L. Scale bar in A, H = 250 µm; in B, I = 50 µm; G = 500 µm; in C-F, J-L = 10 µm.
Figure 4 in Air sac attachments or tendon scars: the distinction between soft tissue traces in archosaur bone
Figure 4. Side-by-side comparison between lamellar bone fibres A, pneumosteum B and Sharpey's fibres C, all indicated by arrowheads. A, an anhanguerid pterosaur ulna (DGEO-CTG-UFPE 7516). B, a megaraptoran theropod caudal vertebra (MPMA 08-003-94). C, a dorsal vertebra of Arrudatitan (MPMA 12-0001-97-1024). Magnifier indicates microscope magnification. All polarized light and crossed nicols. Compensator in B. The relative angle to the bone surface is approximately 290° in A; 320° in B; 150° in C. Scale bar in A = 10 µm; in B = 50 µm; in C = 300 µm.
Figure 3 in Air sac attachments or tendon scars: the distinction between soft tissue traces in archosaur bone
Figure 3. Pneumosteum in saurischian dinosaurs. A-C, a megaraptoran theropod caudal vertebra (MPMA 08-003-94). D-F, a cervical vertebra of the lithostrotian titanosaur Uberabatitan (CPPLIP-1024). G-I, a dorsal vertebra of the saltasaurid titanosaur Ibirania (LPP-PV-0200). Pneumosteum is distinguished from regular lamellar bone due to the presence of an array of tiny asbestiform densely packed fibres (usually shorter than 60 µm; arrowheads). These feature low optical relief and undulose extinction. Silhouettes in A, D and G indicate sampled elements (not to scale; art by Felipe A. Elias). All polarized light. Crossed nicols in A-E and G-I. Parallel nicols in F. Compensator in A-D, G-I, and L. The relative angle to the bone surface is approximately 320° in A-B; 220° in C-D; 105° in E-F; 290° in G; 80° in H-I. Scale bar in A, D = 250 μm; in C, E = 100 μm; in B, F, H, I = 50 μm; in G = 200 μm.
Figure 2 in Air sac attachments or tendon scars: the distinction between soft tissue traces in archosaur bone
Figure 2. Sharpey's fibres in a dorsal vertebra of Arrudatitan (MPMA 12-0001-97-1024; A-F) and in a spinosaurine theropod tibia (LPP-PV-0042; G-I). Note that these fibres are visible at low magnifications (5×; arrowheads). G, H show a cross pattern of Sharpey's fibres. Silhouettes in A and G indicate sampled elements (not to scale; art by Felipe A. Elias). All polarized light. Crossed nicols in A-F. Parallel nicols in. Compensator in G, H. The relative angle to the bone surface is approximately 150° in A-C; 90° in D; 70° in E; 120° in F; 90° in G-I. Scale bar in A = 300 µm; in D, I = 250 µm; in B, C, E, F = 100 µm; in G, H = 500 µm.
Seismic refraction, reflection and free-air gravity data of OBS2020-3 in the southwest sub-basin, South China Sea
<p>This dataset (OBS2020-3.Files.zip) contains SEGY files of the OBS2020-3 and the NW section of the MCS2020-3 profiles, as well as the free-air gravity anomaly data along the seismic profiles. The time-axis of the SEGY files for the ocean bottom seismometers are reduced by a reduction velocity of 6.0 km/s. </p>
All-Inkjet-Printed Humidity Sensors for the Detection of Relative Humidity in Air and Soil—Towards the Direct Fabrication on Plant Leaves
<p>We demonstrate the fabrication, by exclusive means of inkjet-printing, of capacitive relative humidity sensors on flexible, plastic substrate. These sensors can be successfully used for the measurement of relative-humidity in both air and common soil. We also show that the same technique may be used for the fabrication of the same type of sensors on the surface of the leaves of Elægnus Ebbingei (silverberry).Our results demonstrate the suitability of leaves as substrate for printed electronics and pave the way to the next generation of sensors to be used in fields such as agriculture and flower farming.</p>
Subspecies and Distribution. C. h. humboldtii Gray, 1837 — Patagonia (Chile and Argentina) to the Strait of Magellan. C. h. castaneus d'Orbigny & Gervais, 1847 — C Argentina (S provinces of Buenos Aires & La Pampa to N Rio Negro; it also follows along the Colorado and Black Rivers to Neuquen and S Mendoza). C. h. proteus Thomas, 1902 — subandean C Argentina (Catamarca, La Rioja, San Juan, San Luis & N Mendoza). in Mephitidae
Subspecies and Distribution. C. h. humboldtii Gray, 1837 — Patagonia (Chile and Argentina) to the Strait of Magellan. C. h. castaneus d'Orbigny & Gervais, 1847 — C Argentina (S provinces of Buenos Aires & La Pampa to N Rio Negro; it also follows along the Colorado and Black Rivers to Neuquen and S Mendoza). C. h. proteus Thomas, 1902 — subandean C Argentina (Catamarca, La Rioja, San Juan, San Luis & N Mendoza).
Ventilation Pre-heating Effectiveness of a PCM Solar Air Collector with Ventilated Window System
<p>The dataset includes the published data in the article Ventilation Pre-heating Effectiveness of a PCM Solar Air Collector with Ventilated Window System. Dataset including experimental data and data for numerical validation. For the details of the data description please refer to the paper.</p>
Experimental and numerical study of a PCM solar air heat exchanger and its ventilation preheating effectiveness
<p>Dataset including experimental data and data for numerical validation. The corresponding figures can be found in the paper Experimental and numerical study of a PCM solar air heat exchanger and its ventilation preheating effectiveness.</p>
Biophysical effects of bioenergy crop cultivation scenarios on global land air temperature
<p>Biophysical effects of different bioenergy crop cultivation scenarios on global land air temperature simulated by coupled IPSL-CM model, with ORCHIDEE-MICT-BIOENERGY as the land component and LMDz as the atmosphere component. The spatial resolution of the coupled model was 1.26° latitude × 2.5° longitude (i.e., 143*144 grid cells globally).</p> <p>Datasets includes:</p> <p>1. Source data for global air temperature change in each grid from different scenarios based on the idealized cultivation map and the land cover type for the simulations.</p> <p>2. Source data for global temperature change and its different contributors.</p> <p>3. Source data for global temperature change in different regions.</p> <p>4. Source data for global temperature change and different contributors in scenarios based on different cultivation maps.</p> <p> </p>
Biomagnetic characterisation of air pollution particulates in Lahore, Pakistan
<p>This dataset includes raw magnetic data measured at room and low temperatures. </p>
Climate and air quality relevant output diagnostics from UKESM1 for the additional AerChemMIP simulation ssp370SSTpdEmis
<p>This dataset contains model output data for radiative fluxes, emissions, aerosols and ozone produced from an additional AerChemMIP model experiment where anthropogenic precursor emissions and trace gas constituents were held fixed at 2014 values. This model experiments was conducted by UKESM1, a model contributing to CMIP6, and was run over the period 2015 to 2100 to investigate the effect of anthropogenic emissions on near-term climate forcers. The atmosphere only CMIP6 configuration of UKESM1 was used to run this experiment. Model simulations were conducted at a global resolution of 1.875° x 1.25°.</p>
CAIRDIO simulation results and air-quality observations for Leipzig
<p>This dataset contains results with the model CAIRDIO applied for a simulation case study of Leipzig from 1-3 March 2020, and measured concentration vs. time series of black carbon and particulate matter at 5 different air-monitoring sites for comparison. </p>
Data from: Dispersion of SARS-CoV-2 in air surrounding COVID-19 infected individuals with mild symptoms
<p><span>Since the beginning of the pandemic, the transmission modes of SARS-CoV-2—particularly the role of aerosol transmission—has been much debated. Accumulating evidence suggests that SARS-CoV-2 can be transmitted by aerosols, and not only via larger respiratory droplets. In this study, we quantified SARS-CoV-2 in air surrounding 14 test subjects in a controlled setting. All subjects had SARS-CoV-2 infection confirmed by a recent positive PCR test and had mild symptoms when included in the study. RT-PCR and cell culture analyses were performed on air samples collected at distances of one, two, and four meters from test subjects. Oronasopharyngeal samples were taken from consenting test subjects and analyzed by RT-PCR. Additionally, total aerosol particles were quantified during air sampling trials. Air viral concentrations at one-meter distance were significantly correlated with both viral loads in the upper airways, mild coughing, and fever. One sample collected at four-meter distance was RT-PCR positive. No samples were successfully cultured. The results reported here have potential application for SARS-CoV-2 detection and monitoring schemes, and for increasing our understanding of SARS-CoV-2 transmission dynamics.</span></p>
Supplementary Data: Sensitivity of Air Pollution Exposure and Disease Burden to Emission Changes in China using Machine Learning Emulation.
<p>Temporary duplicate of:</p> <p>Conibear, L., Reddington, C. L., Silver, B. J., Chen, Y., Arnold, S. R., & Spracklen, D. V. (2022). <em>Supplementary Data: Sensitivity of Air Pollution Exposure and Disease Burden to Emission Changes in China using Machine Learning Emulation. University of Leeds. [Dataset]</em>. https://doi.org/doi.org/10.5518/1055</p>
The bulk parameterizations of turbulent air-sea fluxes in NEMO4: the origin of Sea Surface Temperature differences in a global model study
<p>This repository contains the code and the data used to produce the results of "The bulk parameterizations of turbulent air-sea fluxes in NEMO4: the origin of Sea Surface Temperature differences in a global model study" a discussion paper by G. Bonino, D. Iovino, L. Brodeau, S. Masina submitted to Geoscientific Model Development.</p> <p>- DATA.tar contains the 5 days model outputs to produce the figures in the manuscript.</p> <p>- CODE.tar contains the code and the namelists to run the experiments. The namelists and the modified code for run each experiments are available in the subfolder CODE/cfgs/. </p>
X-ray micro-computed tomography of mushrooms during the instant controlled pressure drop (DIC) combined hot air drying
<p>These videos present the microstructure evolution of the <em>shiitake </em>mushrooms during the instant controlled pressure drop (DIC) combined hot air drying as well as the comparison of the microstructure of dried mushrooms treated by different drying methods.</p> <p>Fresh-skin and fresh-lamella indicate fresh mushroom cubes including skin and lamella parts respectively.</p> <p>DIC-skin and DIC-lamella indicate DIC treated mushroom cubes including skin and lamella parts respectively.</p> <p>DIC-HA35 dried-skin, DIC-HA65 dried-skin, and HA35 dried-skin indicate mushroom cubes including skin parts that were dried by DIC combined hot air drying at 35 ℃, DIC combined hot air drying at 65 ℃ and hot air drying at 35 ℃, respectively.</p>
Supplemental data and code for Improved air quality in China can enhance solar power performance and accelerate carbon neutrality targets
<p>Supplemental data and code for Improved air quality in China can enhance solar power performance and accelerate carbon neutrality targets</p>
Subspecies and Distribution. L. c. colocolo Molina, 1782 — C Chile. L.c. braccatus Cope, 1899 — C Brazil (Mato Grosso) to N Argentina. L.c. budini Pocock, 1941 — Salta highlands in NW Argentina. L.c. crespoi Cabrera, 1957 — Salta lowlands in NW Argentina L.c. garleppi Matschie, 1912 — Andes in Ecuador, Peru and Bolivia. L.c. munoai Ximénez, 1961 — extreme S Brazil and Uruguay. L. c. pajeros Desmarest, 1816 — Pampas grasslands from Buenos Aires Province to S Argentina and Chile. L. c. thomasi Lonnberg, 1913 — Ecuador. in Felidae
Subspecies and Distribution. L. c. colocolo Molina, 1782 — C Chile. L.c. braccatus Cope, 1899 — C Brazil (Mato Grosso) to N Argentina. L.c. budini Pocock, 1941 — Salta highlands in NW Argentina. L.c. crespoi Cabrera, 1957 — Salta lowlands in NW Argentina L.c. garleppi Matschie, 1912 — Andes in Ecuador, Peru and Bolivia. L.c. munoai Ximénez, 1961 — extreme S Brazil and Uruguay. L. c. pajeros Desmarest, 1816 — Pampas grasslands from Buenos Aires Province to S Argentina and Chile. L. c. thomasi Lonnberg, 1913 — Ecuador.
Subspecies and Distribution. L. g. geoffroyi d'Orbigny & Gervais, 1844 — Argentina (Pampas grasslands from Buenos Aires Province S to Patagonia). L. g. euxanthus Pocock, 1940 — Bolivian highlands. L. g. paraguae Pocock, 1940 — S Paraguay, S Brazil, Uruguay, and N Argentina. L. g. salinarum Thomas, 1903 — Chaco region (Paraguay-Bolivia border). in Felidae
Subspecies and Distribution. L. g. geoffroyi d'Orbigny & Gervais, 1844 — Argentina (Pampas grasslands from Buenos Aires Province S to Patagonia). L. g. euxanthus Pocock, 1940 — Bolivian highlands. L. g. paraguae Pocock, 1940 — S Paraguay, S Brazil, Uruguay, and N Argentina. L. g. salinarum Thomas, 1903 — Chaco region (Paraguay-Bolivia border).
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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)
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.