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124 results for “surface radiation”
Masks Against Surface-Scanning for Radiation Therapy Immobilisation in Head and Neck Cancer (MASSC)
ClinicalTrials.gov study NCT05011500. IPD Sharing: NO. Countries: 1. Publications: 10.
Clinical Implementation of Surface-guided Radiation Therapy in Vulvar Cancer
ClinicalTrials.gov study NCT05853549. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Context dependence in complex adaptive landscapes: frequency and trait-dependent selection surfaces within an adaptive radiation of Caribbean pupfishes
Open the record for dataset details and reuse information.
Rapid Radiative Transfer Model Output Evaluating Cryospheric Surface Emissivities
<p>Rapid Radiative Transfer Model (RRTM) (Mlawer, et al.,1997) output use to evaluate three cryospheric surface emissivities spectrally across three atmospheric profiles. README file attached provides information regarding output format. </p>
Evaluation of a wind tunnel designed to investigate the response of evaporation to changes in the incoming longwave radiation at a water surface. Part I and II
<p>Data in spreadsheet format for wind tunnel evaporation experiments 2019-2022.</p>
Text-fig. 5. Anacardiaceae (a–m), Burseraceae (n–q). Scale bars = 1 cm. a–f: Pentoperculum sp. a–c: USNM PAL 772360. a: Lateral view of endocarp, apex up; three germination valves visible, the central clearly displaying the bipartite nature of the valve, reflected light, palladium coated. b: Apical view displaying six locules, with two preserved germination valves at the lower left, reflected light, palladium coated. c: Basal view of the endocarp, the locules suggested by swellings; note point of attachment, micro-CT scan surface rendering. d–f: Pentoperculum sp. USNM PAL 772359, reflected light, palladium coated. d: Lateral view of a probable 6-loculed endocarp, apex up; a single intact germination valve in the center, displaying the central lineation that divides it in two. e: Apical view; two bi-partite germination valves are visible, indicated by arrows to the middle cleavage line of two of the valves. f: Basal view, the locules suggested by the undulations in the margin. g–i: Indet. Spondioideae. USNM PAL 772358, reflected light, palladium coated. g: Lateral view of multi-locular endocarp, apex up. h: Apical view showing finely punctuate surface and peripheral locule cavities. i: Basal view. j–m: Cf. Pleiogynium USNM PAL 772357. j: Lateral view of the multi-locular endocarp, apex up; note intact germination valve on left and exposed locule facing the viewer, micro-CT scan surface rendering. k: Lateral view, rotated about 30° from (j), showing three exposed locules, reflected light, palladium coated; note bipartite locule lining at center. l: Apical view of the multilocular endocarp; the locule with intact germination valve at the upper right, reflected light, palladium coated. Arrows to each locule. m: Basal view showing central point of attachment and prominent radiating ridges aligned with the locules, micro-CT scan surface rendering. n–q: Canarium, USNM PAL 772361. Scale bar = 1 cm. n: Lateral view of endocarp directly facing one germination valve flanked by two strong ridges; apex up; specimen coated in sodium nitrate and photographed by R. A. Scott. o: Lateral view facing one of the three pronounced ridges, flanked to the left and right by two germination valves; apex up. p: Apical view displaying the three strong ridges, arching over the apex and flanking three deep embayments, covered with germination valves. q: Basal view, the three ridges being less pronounced. o–q: Reflected light, palladium coated. in The Early Middle Eocene Wagon Bed Carpoflora Of Central Wyoming, U.S.A.
Text-fig. 5. Anacardiaceae (a–m), Burseraceae (n–q). Scale bars = 1 cm. a–f: Pentoperculum sp. a–c: USNM PAL 772360. a: Lateral view of endocarp, apex up; three germination valves visible, the central clearly displaying the bipartite nature of the valve, reflected light, palladium coated. b: Apical view displaying six locules, with two preserved germination valves at the lower left, reflected light, palladium coated. c: Basal view of the endocarp, the locules suggested by swellings; note point of attachment, micro-CT scan surface rendering. d–f: Pentoperculum sp. USNM PAL 772359, reflected light, palladium coated. d: Lateral view of a probable 6-loculed endocarp, apex up; a single intact germination valve in the center, displaying the central lineation that divides it in two. e: Apical view; two bi-partite germination valves are visible, indicated by arrows to the middle cleavage line of two of the valves. f: Basal view, the locules suggested by the undulations in the margin. g–i: Indet. Spondioideae. USNM PAL 772358, reflected light, palladium coated. g: Lateral view of multi-locular endocarp, apex up. h: Apical view showing finely punctuate surface and peripheral locule cavities. i: Basal view. j–m: Cf. Pleiogynium USNM PAL 772357. j: Lateral view of the multi-locular endocarp, apex up; note intact germination valve on left and exposed locule facing the viewer, micro-CT scan surface rendering. k: Lateral view, rotated about 30° from (j), showing three exposed locules, reflected light, palladium coated; note bipartite locule lining at center. l: Apical view of the multilocular endocarp; the locule with intact germination valve at the upper right, reflected light, palladium coated. Arrows to each locule. m: Basal view showing central point of attachment and prominent radiating ridges aligned with the locules, micro-CT scan surface rendering. n–q: Canarium, USNM PAL 772361. Scale bar = 1 cm. n: Lateral view of endocarp directly facing one germination valve flanked by two strong ridges; apex up; specimen coated in sodium nitrate and photographed by R. A. Scott. o: Lateral view facing one of the three pronounced ridges, flanked to the left and right by two germination valves; apex up. p: Apical view displaying the three strong ridges, arching over the apex and flanking three deep embayments, covered with germination valves. q: Basal view, the three ridges being less pronounced. o–q: Reflected light, palladium coated.
Daily surface all-wave net radiation over global land (2018-2019) from AVHRR data
<p>Surface net radiation, representing surface radiation energy balance, is closely related to several land processes, such as evapotranspiration, photosynthesis, and turbulent and conductive heat fluxes. Reanalysis products can provide a long-term surface net radiation; however, their coarse spatial resolution and large uncertainties hinder us from well applicating the data at a regional scale. Satellite products also include surface net radiation retrievals with high accuracy. The short time span of satellite products (i.e., GLASS product) makes these satellite products not suitable for long-term climate change study. Therefore, we used a deep learning method to upscale in situ measurements collected from global-distributed sites to generate a daily surface net radiation product with 0.05° spatial resolution from AVHRR data (2018-2019). </p> <p>After comprehensive validation, the RMSE of AVHRR net radiation product was ~26 Wm<sup>-2</sup>, which is generally better than some current reanalysis and satellite products.</p>
Daily surface all-wave net radiation over global land (1995-2006) from AVHRR data
<p>Surface net radiation, representing surface radiation energy balance, is closely related to several land processes, such as evapotranspiration, photosynthesis, and turbulent and conductive heat fluxes. Reanalysis products can provide a long-term surface net radiation; however, their coarse spatial resolution and large uncertainties hinder us from well applicating the data at a regional scale. Satellite products also include surface net radiation retrievals with high accuracy. The short time span of satellite products (i.e., GLASS product) makes these satellite products not suitable for long-term climate change study. Therefore, we used a deep learning method to upscale in situ measurements collected from global-distributed sites to generate a daily surface net radiation product with 0.05° spatial resolution from AVHRR data (1995-2006). </p> <p>After comprehensive validation, the RMSE of AVHRR net radiation product was ~26 Wm<sup>-2</sup>, which is generally better than some current reanalysis and satellite products.</p>
Daily surface all-wave net radiation over global land (1981-1994) from AVHRR data
<p>Surface net radiation, representing surface radiation energy balance, is closely related to several land processes, such as evapotranspiration, photosynthesis, and turbulent and conductive heat fluxes. Reanalysis products can provide a long-term surface net radiation; however, their coarse spatial resolution and large uncertainties hinder us from well applicating the data at a regional scale. Satellite products also include surface net radiation retrievals with high accuracy. The short time span of satellite products (i.e., GLASS product) makes these satellite products not suitable for long-term climate change study. Therefore, we used a deep learning method to upscale in situ measurements collected from global-distributed sites to generate a daily surface net radiation product with 0.05° spatial resolution from AVHRR data (1981-1994). </p> <p>After comprehensive validation, the RMSE of AVHRR net radiation product was ~26 Wm<sup>-2</sup>, which is generally better than some current reanalysis and satellite products.</p>
Daily surface all-wave net radiation over global land (2007-2017) from AVHRR data
<p>Surface net radiation, representing surface radiation energy balance, is closely related to several land processes, such as evapotranspiration, photosynthesis, and turbulent and conductive heat fluxes. Reanalysis products can provide a long-term surface net radiation; however, their coarse spatial resolution and large uncertainties hinder us from well applicating the data at a regional scale. Satellite products also include surface net radiation retrievals with high accuracy. The short time span of satellite products (i.e., GLASS product) makes these satellite products not suitable for long-term climate change study. Therefore, we used a deep learning method to upscale in situ measurements collected from global-distributed sites to generate a daily surface net radiation product with 0.05° spatial resolution from AVHRR data (2007-2017). </p> <p>After comprehensive validation, the RMSE of AVHRR net radiation product was ~26 Wm<sup>-2</sup>, which is generally better than some current reanalysis and satellite products.</p>
Daily surface all-wave net radiation over global land from AVHRR data (1981—2019)
<p>Surface net radiation, representing surface radiation energy balance, is closely related to several land processes, such as evapotranspiration, photosynthesis, and turbulent and conductive heat fluxes. Reanalysis products can provide a long-term surface net radiation; however, their coarse spatial resolution and large uncertainties hinder us from well applicating the data at a regional scale. Satellite products also include surface net radiation retrievals with high accuracy. The short time span of satellite products (i.e., GLASS product) makes these satellite products not suitable for long-term climate change study. Therefore, we used a deep learning method to upscale in situ measurements collected from global-distributed sites to generate a daily surface net radiation product with 0.05° spatial resolution from AVHRR data (1981-2019). After comprehensive validation, the RMSE of AVHRR net radiation product was ~26 Wm-2, which is generally better than some current reanalysis and satellite products.</p> <p> </p> <p> </p>
Text-fig. 34. Synchrotron radiation X-ray tomographic microscopy (SRXTM, a–h) images of "Paisia-like follicle"; Catefica locality, Portugal. a–d) Volume rendering of follicles in lateral (a, c) and ventral (b, d) views showing the decurrent stigmatic region that extends from base of the follicle to the apex; note papillate zone forming a probable stigma along the full length of the ventral suture; e) Longitudinal section (volume rendering cut at orthoslice yz0326) near the base of the follicle showing two ovules with a striate-reticulate surface (asterisks); note transverse fibers lining the inner follicle wall and large cells of the mesocarp; f) Transverse section (volume rendering cut at orthoslice xy2475) of follicle showing two rows of ovules borne on placentae on either side of the ventral suture (asterisks); note also the pronounced and densely-spaced papillae around the ventral suture; g) Transverse section (orthoslice xy1988) of follicle showing two ventral vascular bundles and one dorsal bundle (arrows) and ovules/seeds borne on two placentae, one on either side of the ventral suture; note the remains of the small thin-walled cells of the outer epidermis that cover the thicker-walled cells of the mesocarp; h) Transverse section (orthoslice xy2860) of follicle showing two ventral bundles and one dorsal bundle (arrows) and ovules/seeds in two rows on the placentae, one on either side of the ventral suture; note the remains of small epidermal cells and the large rounded cells of the mesocarp with thicker walls. Specimens, Catefica 49-S174916 (a, b), Catefica 49-S174917 (c–f, h), Catefica 50-S171525 (g). Scale bars = 300 Μm (a–d), 100 Μm (e–h). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 34. Synchrotron radiation X-ray tomographic microscopy (SRXTM, a–h) images of "Paisia-like follicle"; Catefica locality, Portugal. a–d) Volume rendering of follicles in lateral (a, c) and ventral (b, d) views showing the decurrent stigmatic region that extends from base of the follicle to the apex; note papillate zone forming a probable stigma along the full length of the ventral suture; e) Longitudinal section (volume rendering cut at orthoslice yz0326) near the base of the follicle showing two ovules with a striate-reticulate surface (asterisks); note transverse fibers lining the inner follicle wall and large cells of the mesocarp; f) Transverse section (volume rendering cut at orthoslice xy2475) of follicle showing two rows of ovules borne on placentae on either side of the ventral suture (asterisks); note also the pronounced and densely-spaced papillae around the ventral suture; g) Transverse section (orthoslice xy1988) of follicle showing two ventral vascular bundles and one dorsal bundle (arrows) and ovules/seeds borne on two placentae, one on either side of the ventral suture; note the remains of the small thin-walled cells of the outer epidermis that cover the thicker-walled cells of the mesocarp; h) Transverse section (orthoslice xy2860) of follicle showing two ventral bundles and one dorsal bundle (arrows) and ovules/seeds in two rows on the placentae, one on either side of the ventral suture; note the remains of small epidermal cells and the large rounded cells of the mesocarp with thicker walls. Specimens, Catefica 49-S174916 (a, b), Catefica 49-S174917 (c–f, h), Catefica 50-S171525 (g). Scale bars = 300 Μm (a–d), 100 Μm (e–h).
Text-fig. 4. Synchrotron radiation X-ray tomographic microscopy (SRXTM) images of seeds of Canrightia foveolata sp. nov.; Catefica locality, Portugal. a–d) Volume renderings of abraded seeds in ventral (a), lateral (b, d) and apical (c) views showing the slightly protruding chalaza (arrows) and dense longitudinal grooves with shallow pits in the surface of the endotesta; e) Transverse section of seed (orthoslice xy0665) showing the irregular grooved surface of the endotesta (oi-en) and the tegmen comprised of two layers of thick-walled cells that surround the cells of the prominent endothelium (asterisk); f) Longitudinal section (orthoslice xz1195) through seed showing the thin-walled endothelium cells (asterisk) surrounded by the thicker cells of the outer tegmen and endotesta; g) Longitudinal section (orthoslice yz0727) through seed showing outlines of angular crystals evenly distributed in cells of the endotesta (oi-en); note the outer epidermis of the tegmen (ii-o) composed of thick-walled cells; h) Longitudinal section (orthoslice xz0940) of seed showing details of the chalazal region with course of the vascular bundle (vb), cells of the prominent endothelium (asterisk), crystalliferous endotesta of the outer integument (oi-en) and the distinct thick walled cells of the outer cells of the tegmen (ii-o); i) Longitudinal and tangential section (orthoslice yz0542) through the endotesta (oi-en) showing the outlines of densely spaced crystals. Specimens, Catefica 242-S175178 (a–c, e–h), Catefica 49-S175179 (d, i). Scale bars = 300 Μm (a–d), 100 Μm (e, f, h, i), 50 Μm (g). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 4. Synchrotron radiation X-ray tomographic microscopy (SRXTM) images of seeds of Canrightia foveolata sp. nov.; Catefica locality, Portugal. a–d) Volume renderings of abraded seeds in ventral (a), lateral (b, d) and apical (c) views showing the slightly protruding chalaza (arrows) and dense longitudinal grooves with shallow pits in the surface of the endotesta; e) Transverse section of seed (orthoslice xy0665) showing the irregular grooved surface of the endotesta (oi-en) and the tegmen comprised of two layers of thick-walled cells that surround the cells of the prominent endothelium (asterisk); f) Longitudinal section (orthoslice xz1195) through seed showing the thin-walled endothelium cells (asterisk) surrounded by the thicker cells of the outer tegmen and endotesta; g) Longitudinal section (orthoslice yz0727) through seed showing outlines of angular crystals evenly distributed in cells of the endotesta (oi-en); note the outer epidermis of the tegmen (ii-o) composed of thick-walled cells; h) Longitudinal section (orthoslice xz0940) of seed showing details of the chalazal region with course of the vascular bundle (vb), cells of the prominent endothelium (asterisk), crystalliferous endotesta of the outer integument (oi-en) and the distinct thick walled cells of the outer cells of the tegmen (ii-o); i) Longitudinal and tangential section (orthoslice yz0542) through the endotesta (oi-en) showing the outlines of densely spaced crystals. Specimens, Catefica 242-S175178 (a–c, e–h), Catefica 49-S175179 (d, i). Scale bars = 300 Μm (a–d), 100 Μm (e, f, h, i), 50 Μm (g).
ELITE surface longwave net radiation: global 1km Swath 5-min SLNR - Aqua (2010.04-06)
<p>The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (<a href="https://elite.bnu.edu.cn">https://elite.bnu.edu.cn</a>).</p> <p>This dataset is the ELITE global 1km instantaneous SLNR product ranging from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS, Terra and Aqua) data using the algorithm developed by Cheng et al. (2016), Cheng et al. (2017), and Yang and Cheng. (2020). </p> <p>This is the ELITE SLNR (Aqua) product in 2010.04-2010.06. Please <a href="https://zenodo.org/deposit/8255865"><strong><em>click here</em></strong></a> to download the ELITE SLNR (Aqua) product in 2010.01-2010.03 and <a href="https://zenodo.org/deposit/8255887"><strong><em>click here</em></strong></a> to download the ELITE SLNR (Aqua) product in 2010.07-2010.09.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2010</li> <li>Spatial Resolution: 1 km</li> <li>Temporal Resolution: 5min/instantaneous</li> <li>Data Format: hdf</li> <li>Scale: 0.05</li> <li>Offset: -1000</li> </ul> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Cheng, J., & Liang, S. (2016). Global estimates for high-spatial-resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, <em>54</em>(7), 4115-4129.</li> <li>Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.</li> <li>Yang, F., & Cheng, J. (2020). A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 248, 111972.</li> </ol> <p>If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).</p>
Photosynthetically active radiation (PAR) at depths from 0 to 100 meters, expressed as percentage of surface PAR, measured aboard CCE LTER process cruises in the California current, 2006, 2007 and 2008.
Photosynthetically active radiation designates the spectral range (wave band) of solar radiation from 400 to 700 nanometers that photosynthetic organisms are able to use in the process of photosynthesis. Daily values at depths from 0 to 100 meters, expressed as percentage of surface PAR were produced for days during three CCE LTER process cruises in the California Current region in 2006, 2007 and 2008.
First ISCCP Regional Experiment (FIRE) Cirrus 1 Surface Radiation Budget (SRB) Data over Switzerland
The First ISCCP Regional Experiment (FIRE) Cirrus 1 Surface Radiation Budget (SRB) Data over Switzerland show results from the International Satellite Cloud Climatology Project (ISCCP) analysis of B3 radiance data (sampled to 25 km). Unlike the standard ISCCP product, these data are reported at the original pixel resolution and contain detailed information about the algorithm decision. Data covers the region from: 30 degrees North to 55 degrees North (+30 to +55), 40 degrees West to 40 degrees East (-40 to +40). (Polar projection covers 55S - 90S or 55N - 90N, maximum; Midlatitude maps cover 55S to 55N, maximum.) The nominal spatial resolution is 25 km for the spatially sampled imaging data. The pixel field of view is 4 km (National Oceanic and Atmospheric Administration (NOAA) data). Earth location (latitude +/- 90 degrees, longitude +/- 180 degrees) is obtained for each pixel from ancillary data.
LBA-ECO CD-07 GOES-8 L3 Gridded Surface Radiation and Rain Rate for Amazonia: 1999
High resolution downwelling solar, PAR, infrared radiation and rain rates retrieved from GOES-8 imager. The data set covers primarily Amazon watershed area. It has 8km and half hourly resolution. Data covers two periods in 1999: March 1 - April 30 and September 1 - October 31. Files are available in compressed binary format.
First ISCCP Regional Experiment (FIRE) Cirrus 1 Surface Radiation Budget (SRB) Data over Canada
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the ISCCP data, GCM parameterizations, and higher space and time resolution cloud data.To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13-November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29-July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13-December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1-June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems. Results from ISCCP analysis of B3 radiance data (sampled to 25 km). Unlike the standard ISCCP product, these data are reported at original pixel resolution and contain detailed information about the algorithm decision. Data covers the region from: 40 degrees North to 90 degrees North (+40 to +90), 70 degrees West to 110 degrees West (-70 to -110). (Polar projection covers 55S - 90S or 55N - 90N, maximum; Midlatitude maps cover 55S to 55N, maximum.)Spatially sampled imaging data. Nominal spatial resolution is 25 km. Pixel field of view is 4 km (NOAA data). Earth location (latitude +/- 90 degrees, longitude +/- 180 degrees) is obtained for each pixel from ancillary data.
MODIS/Terra+Aqua Surface Radiation Daily/3-Hour L3 Global 5km SIN Grid V006
MCD18A1 Version 6 was decommissioned on October 28, 2022. Users are encouraged to use the [MCD18A1 Version 6.2 data product](https://doi.org/10.5067/MODIS/MCD18A1.062).The MCD18A1 Version 6 is a Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined Downward Shortwave Radiation (DSR) gridded Level 3 product produced daily at 5 kilometer pixel resolution with estimates of DSR every 3 hours. DSR is incident solar radiation over land surfaces in the shortwave spectrum (300-4,000 nanometers) and is an important variable in land-surface models that address a variety of scientific and application issues. The MCD18 products are based on a prototyping algorithm that uses multi-temporal signatures of MODIS data to derive surface reflectance and then calculate incident DSR using the look-up table (LUT) approach. The LUTs consider different types of loadings of aerosols and clouds at a variety of illumination/viewing geometry. Global DSR products are generated from MODIS and geostationary satellite data. Additional details regarding the methodology used to create the data are available in the Algorithm Theoretical Basis Document (ATBD).Provided in the MOD18A1 product are layers for instantaneous DSR array for each individual MODIS overpass and 3-hour DSR array along with a View Zenith Angle layer.Known Issues* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=TerraAqua&as=6).
SAFARI 2000 Surface Atmospheric Radiative Transfer (SMART), Dry Season 2000
Surface-sensing Measurements for Radiative Transfer (SMART) and Chemical, Optical, and Microphysical Measurements of In-situ Troposphere (COMMIT) consist of a suite of instruments that measure (both in-situ and by remote sensing) parameters that help to characterize, as completely as possible, constituents of the atmosphere at a given location. SMART and COMMIT are mobile systems that can be deployed to locations that exhibit interesting atmospheric phenomena. This allows investigators to participate in coordinated measurement campaigns, such as SAFARI 2000.The SMART instruments were deployed to the Skukuza Airport from August 15 to September 17, 2000 to take part in the SAFARI 2000 Dry Season Aircraft Campaign. The SMART-COMMIT mission is designed to pursue the following goals: Earth Observing System (EOS) validation; innovative investigations; and long-term atmospheric monitoring.The results reported in this data set are for the following instruments deployed and measurements recorded at the Skukuza Airport site within the Kruger National Park:several broadband radiometers, for global, diffuse, direct downward solar irradiance and global infrared downward irradiance; meteorological sensors, for surface air temperature, pressure, relative humidity, and wind; anda Solar Spectral Flux Radiometer (NASA Ames), for spectral solar downward irradiance.
ScienceDex guides
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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)
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.