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40 results for “TIR”
PM_030000_E_Sant_Tirs
<u>File Name</u>: PM_030000_E_Sant_Tirs.jpg <br><u>Sublocation</u>: Sant Tirs de Pinell <br><u>Location</u>: Sant Climenç <br><u>Province</u>: Catalunya, Lleida <br><u>Country</u>: Spain <br><u>Header</u>: Capella (Sant Tirs de Pinell). Exterior. 1787. <br><u>Description</u>: Chapel 1787 <br><u>Keywords</u>: Catalunya, Cultural heritage, Europe, Lleida, Monuments, Sant Tirs, Spain <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_030003_E_Sant_Tirs
<u>File Name</u>: PM_030003_E_Sant_Tirs.jpg <br><u>Sublocation</u>: Sant Tirs <br><u>Location</u>: Pinell del Solsonès <br><u>Province</u>: Catalunya, Lleida <br><u>Country</u>: Spain <br><u>Header</u>: Capella (Sant Tirs de Pinell). Exterior. 1787. <br><u>Description</u>: Chapel (Sant Tirs de Pinell) Exterior 1787 <br><u>Keywords</u>: Catalunya, Cultural heritage, Europe, Lleida, Monuments, Pinell de Solsonès, Sant Tirs, Spain <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_030002_E_Sant_Tirs
<u>File Name</u>: PM_030002_E_Sant_Tirs.jpg <br><u>Sublocation</u>: Sant Tirs de Pinell <br><u>Location</u>: Pinell del Solsonès <br><u>Province</u>: Catalunya, Lleida <br><u>Country</u>: Spain <br><u>Header</u>: Capella (Sant Tirs de Pinell). Exterior. 1787. <br><u>Description</u>: Chapel (Sant Tirs de Pinell) Exterior 1787 <br><u>Keywords</u>: Catalunya, Cultural heritage, Europe, Lleida, Monuments, Pinell de Solsonès, Sant Tirs, Spain <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
UAV RGB and TIR images in the Qinghai-Tibet Engineering Corridor
<p>Two permafrost slopes were conducted four flight experiments with UAV-mounted RGB and TIR sensors in 2016 and 2017.</p>
Рис. 6. Варианты преΑсказанной Αоменной структуры тоΛΛ-поΑобных рецепторов гемоцитов моΛΛюсков Planorbarius corneus. Сокращения: LRR — повтор, богатый Λейцином, LRR TYP — богатый Λейцином повтор типичного Αомена поΑсемейства, LRR CT — богатый Λейцином C-концевой Αомен, LRR NT — богатый Λейцином N-концевой Αомен, TIR — TIR-Αомен in Pathogen recognition molecules from hemocytes of Planorbarius corneus molluscs (Planorbidae, Pulmonata)
Рис. 6. Варианты преΑсказанной Αоменной структуры тоΛΛ-поΑобных рецепторов гемоцитов моΛΛюсков Planorbarius corneus. Сокращения: LRR — повтор, богатый Λейцином, LRR TYP — богатый Λейцином повтор типичного Αомена поΑсемейства, LRR CT — богатый Λейцином C-концевой Αомен, LRR NT — богатый Λейцином N-концевой Αомен, TIR — TIR-Αомен
Simulated top-of-atmosphere (120 km) downward and upward solar and thermal-infrared irradiances and ice cloud optical thickness; calculated solar, TIR and net cloud radiative effect. Simulated with ice crystal properties for aggregates, droxtals, and plates based on Yang (2013).
<p>This dataset consists of three .nc files for ice crystal shapes of aggregates, plates, and droxtals. The files include ice cloud optical thickness <span class="math-tex">\(\tau\)</span> (550nm), the simulated upward and downward irradiances <span class="math-tex">\(F\)</span> at the top-of-atmosphere (with and without the presence of the ice cloud), and the calculated ice cloud radiative effect <span class="math-tex">\(\Delta F\)</span> (solar [0.3-3.5 <span class="math-tex">\(\mu\)</span>m], thermal-infrared [3.5-75 <span class="math-tex">\(\mu\)</span>m], and net). The data set allows the user to extract <span class="math-tex">\(\Delta F\)</span> values for their parameter combinations. The available cloudy and cloud-free irradiances further allow to calculate the cirrus radiative effect (RE) by scaling the 'cloudy' RE with the required cloud cover. This serves as a first-approximation because, as 3D effects are neglected.</p>
MicroED data of TLR2 TIR domain-induced MyD88 TIR domain higher-order assembly
<p>MicroED data of TLR2 TIR domain-induced MyD88 TIR domain higher-order assembly. The data was collected using a Titan Krios cryo-TEM (ThermoFisher Scientific) operating at 300 kV and equipped with a Ceta-D CMOS detector. Diffraction data were collected using a parallel beam of approximately 1 µm in size with a C2 aperture 50 μm and spot size 10. The oscillation step was controlled at a fixed value between 0.5-1.0°, and the dose per frame was 0.138 e/Å<sup>2</sup> with 1 s exposure time.</p> <p>Processing details, including xds.inp files and log files, are supplied together with the datasets. </p>
Modelling the transmission component in TIR reflectance spectra of sandstones to understand the effect of surface roughness and clinging fines
<p>This dataset includes a model that combines rock surface reflection with transmission through clinging fines the surface. All IDL scripts are provided. The dataset includes the transmission input spectra, raw data of transmission measurements and SEM images of the surfaces. The reflectance spectra presented in the paper are part of a previous publication, see related identifiers for database of this dataset.</p>
Tir (Shooting Altar), 1970 - Stedelijk Museum
*Shooting Picture* is a relief work by the artist Niki de Saint Phalle. The surface of the work is rough and textured, featuring a white background and multiple streams of differently coloured paint including purple, yellow, blue, red and black. Each of the colours appears to have dripped down the canvas from a hole, which exposes a dark surface beneath the white. Saint Phalle made this work by shooting with a gun at bags of paint that were placed on the canvas. Before the shooting began, the surface was covered with white plaster and pigment to resemble a blank canvas. As the shooting commenced, the bags would be punctured and the coloured paints released to flow and splash. Captured with Samsung Note 8, processed with Recap Photo using 38 photos. Source: Objaverse 1.0 / Sketchfab
Satellite Images from ASTER TIR and Landsat 9 (RGB+TIR) for evaluation of unmixing methodologies
Open the record for dataset details and reuse information.
Aerial RGB and Thermal Infrared (TIR) Images of Vineyards and Pseudo-coloring RGB Images of the Plant's Stressed Areas.
<p>This dataset consists of 375 high-resolution visible-spectrum (RGB) and 375 thermal infrared (TIR) images of a vineyard (Vitis vinifera L.) captured by a Unmanned Aerial Vehicle (UAV) carrying TIR and RGB sensors. Also, the dataset contains 375 RGB images with pseudo-coloring where plants' stressed areas exist, aligned, and cropped based on the TIR images' Field of View (FOV).</p>
[Data from:] A butterfly egg-killing hypersensitive response in Brassica nigra is controlled by a single locus, PEK, containing a cluster of TIR-NBS-LRR receptor genes
<p>Genetic mapping of a HR-like cell death induced by <em>Pieris </em>spp. butterfly eggs in <em>Brassica nigra.</em></p>
ASTER L2 Surface Radiance TIR V004
The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Surface Radiance TIR (AST_09T) is generated using the five Thermal Infrared (TIR) bands (acquired either during the day or nighttime) between 8 and 12 µm spectral range. It provides surface-leaving radiance for the TIR bands at a spatial resolution of 90 meters, which includes both surface-emitted and surface-reflected components. It also provides the downwelling sky irradiance values (in W/m2/µm) for each of the TIR bands. This product is atmospherically corrected, and the surface-leaving radiance is of known accuracy and valid only for clear-sky scenes (cloud-free pixels). This atmospherically corrected product provides the input for generating two other higher level products: surface spectral emissivity and surface kinetic temperature.The algorithm to correct atmospheric effects involves two elements. First, it uses a radiative transfer model—the Moderate Resolution Transmittance Code (MODTRAN)—which can estimate the magnitude of atmospheric emission, absorption, and scattering. MODTRAN calculates atmospheric transmittance and radiance for frequencies from 0 to 50,000 cmˉ¹ at moderate spectral resolution. Second, it identifies and incorporates all the necessary atmospheric parameters applicable to the location and time for which the measurements require correction, including temperature, water vapor, elevation, ozone, and aerosols.Known Issues* Level 2 products that are on the international date line/anti-meridian have incorrect bounding coordinates for the UTM zone defined in the file metadata.Improvements/Changes from Previous Versions* Enhanced Atmospheric Correction: Version 4 uses Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) data as the primary source for atmospheric parameters (ozone, water vapor, pressure, and temperature), improving the precision of emissivity calculations. Fallback Mechanisms: When MERRA-2 data are unavailable, the product employs Global Data Assimilation System (GDAS) data as a backup, with climatology data serving as a final fallback to ensure continuous processing. Radiometric Calibration Update: Version 4 applies Radiometric Calibration Coefficient Version 5 (RCC V5) to improve the radiometric accuracy of the raw DNs, based on research by [Tsuchida and others (2020)](https://doi.org/10.3390/rs12030427), published in Remote Sensing.
ASTER L2 Surface Radiance TIR V003
The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Surface Radiance TIR (AST_09T) is generated using the five Thermal Infrared (TIR) bands (acquired either during the day or night time) between 8 and 12 µm spectral range. It provides surface-leaving radiance for the TIR bands at a spatial resolution of 90 meters, which includes both surface-emitted and surface-reflected components. It also provides the downwelling sky irradiance values (in W/m2/µm) for each of the TIR bands. This product is atmospherically corrected, and the surface-leaving radiance is of known accuracy and valid only for clear-sky scenes (cloud-free pixels). This atmospherically corrected product provides the input for generating two other higher-level products: surface spectral emissivity and surface kinetic temperature.The algorithm to correct atmospheric effects involves two elements: 1) it uses a radiative transfer model which is capable of estimating the magnitude of atmospheric emission, absorption, and scattering. It uses the Moderate Resolution Transmittance Code (MODTRAN) radiative transfer model, which calculates atmospheric transmittance and radiance for frequencies from 0 to 50,000 cmˉ¹ at moderate spectral resolution. 2) It identifies and incorporates all the necessary atmospheric parameters applicable to the location and time for which the measurements require correction. These include temperature, water vapor, elevation, ozone, and aerosols.The ASTER L2 Surface Radiance TIR data product is only available through [NASA's Earthdata Search](https://search.earthdata.nasa.gov/search?q=C1299783609-LPDAAC_ECS). The ASTER Order Instructions provide step-by-step directions for ordering this product.Known Issues* Data acquisition gaps: On November 28, 2024, one of Terra's power-transmitting shunt units failed. As a result, there was insufficient power to maintain functionality of the ASTER instrument. ASTER resumed acquisitions for the VNIR bands on January 18, 2025, and for the TIR bands on April 15, 2025. Users should note the data gap in ASTER acquisitions from November 28, 2024, through January 16, 2025, for VNIR observations, and a gap from November 28, 2024, through April 15, 2025, for TIR acquisitions.Improvements/Changes from Previous Version* The Science Scalable Scripts-based Science Processor for Missions (S4PM) Version 3.4 algorithm, which is used to generate L2 Product Generation Executables (PGEs), is relying on a new ancillary input for atmospheric parameters. Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) is global atmospheric reanalysis that combines remote sensing observations and interactions with the climate system. It will be one of the primary ozone and water vapor, pressure, and temperature inputs for L2 PGEs. MERRA-2 will provide a finer geographic resolution grid since it is a 3-dimensional, 3-hourly data collection with 50-km (latitudinal direction) spatial resolution.* The fallback options for L2 PGEs are as follows: * Ozone: [TOVS Ozone (OZ_DLY ) > AURA Ozone Monitoring Instrument (AURAOMI) > Total Ozone Analysis from Stratospheric and Tropospheric (TOAST) > Earth Probe-Total Ozone Mapping Spectrometer (EPTOMS)] or [MERRA-2] > National Centers for Environmental Prediction (NCEP)/Global Data Assimilation System (GDAS) > Climatology * Water Vapor, Pressure, and Temperature: [MOD07_L2] or [MERRA-2] > NCEP/GDAS > Climatology* Caveat: The temporal range for MERRA-2 covers 1980 to present; however, there is latency of ~3 weeks after the end of a month. Hence, NCEP/GDAS > Climatology fallback sequence will be applied for on-demand requests that fall outside of MERRA-2's temporal range or if the data is not science grade.* Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article. * Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427.* As of December 15, 2021, the LP DAAC has implemented changes to ASTER PGE Version 3.4, which will affect all ASTER Level 2 on-demand products. Changes include: * Aura Ozone Monitoring Instrument (OMI) has been added as one of the ancillary ozone inputs for any observations made after May 27, 2020. The sequence of fallbacks for ozone will remain the same. * Toolkit has been updated from Version 5.2.17 to 5.2.20. Users may notice minor differences between the two versions. Differences may include minuscule changes in digital numbers around the peripheral of the granule and boundaries of a cloud for Surface Reflectance and Surface Radiance (AST07 and AST09) Q
Lysosomal integrity suppresses TIR-1/SARM1 aggregation to restrain toxic propagation of p38 innate immunity
GEO Series GSE256356. Caenorhabditis elegans. 12 samples. Type: Expression profiling by high throughput sequencing.
Bacteriophage antidefense genes that neutralize TIR and STING immune responses
GEO Series GSE222071. Bacteriophage sp.. 6 samples. Type: Other.
Sterol scarcity primes p38 immune defenses through a TIR-1/SARM1 phase transition
GEO Series GSE178572. Caenorhabditis elegans. 15 samples. Type: Expression profiling by high throughput sequencing.
Pathogen infection and cholesterol deficiency activate the C. elegans p38 immune pathway through a TIR-1/SARM1 phase transition
GEO Series GSE190585. Caenorhabditis elegans. 6 samples. Type: Expression profiling by high throughput sequencing.
Activation of a helper NLR by plant and bacterial TIR immune signaling
GEO Series GSE277725. Arabidopsis thaliana. 12 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide profiling of whole blood from patients with defects in Toll-like receptors (TLRs) and IL-1Rs (the TIR pathway) signaling
GEO Series GSE25742. Homo sapiens. 365 samples. Type: Expression profiling by array.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.
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