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10,016 results for “Observation”
Data for: Light-absorbing impurities in glacial environments over western Himalaya from reanalysis data and in situ observations
<p>The repository contains information about 6 aerosol variables extracted from MERRA-2 reanalysis over western Himalayan region of Jammu and Kashmir. It also contains data about glacier ice chemistry based on 9 physicochemical characteristics of 3 glaciers nestled in the Greater Himalayan Mountain range of Kashmir. Air mass back trajectories as simulated from HYSPLIT model on a seasonal basis are also provided.</p>
All-sky imager observation data from the Chinese Yellow River Station, Ny-Ålesund, Svalbard
<p><strong>Introduction</strong></p> <p>The aurora images in this dataset are from the all-sky imagers at the Yellow River Station (YRS). And it is used in the paper Automatically sketching Auroral Skeleton Structure in All-sky Image for Measuring Aurora Arcs.</p> <p>This dataset consists of the following sections:</p> <ul> <li><strong>N20040116G.zip</strong>: 4,319 observation images as of January 16, 2004;</li> <li><strong>Raw data and reading code.zip</strong>: 8634 raw data items of December 23, 2003, and reading code;</li> <li><strong>80 imgs&annotations.zip</strong>: 80 ASI images and the corresponding manual annotations with pixel-level masks.</li> </ul> <p>In the following sections, the data source, acquisition instruments, data characteristics, preprocessing methods and naming conventions of this dataset will be introduced.</p> <p><strong>Data source:</strong></p> <p>The auroral images used in this study are ground-based observation data acquired by three-wavelength (427.8, 557.7, and 630.0 nm) all-sky imagers at YRS in Ny-Ålesund, Svalbard. The geographic coordinates of YRS are 78.92°N, 11.93°E, and the corrected geomagnetic latitude is 76.24°, MLT≈UT+3 h.</p> <p><strong>Data acquisition instruments:</strong></p> <p>Data were obtained from all-sky CCD auroral imagers. The system can record 24-hour auroral activities from October to March of the following winter each year.</p> <p><strong>Data characteristics:</strong></p> <p>The time resolution of the observation results of two consecutive frames is 10 s. The camera uses a 512×512 square pixel array, and the geographic zenith is located near the center of the field of view (FOV). The coverage diameter of the all-sky FOV is approximately 1000 km. The spatial resolution is from 1.1 km at the zenith to 36 km at the horizon at an altitude of 150 km. All aurora images are provided in .bmp image format.</p> <p><strong>Data preprocess:</strong></p> <ul> <li>Subtracting dark current and rescaling. Dark current is deemed as system noise caused by equipment. It is removed from images before further operation. Every image is then stretched with a cutoff value of 4000 and rescaled from 16 to 8 bits.</li> <li>Masking and cropping. A circle mask with a radius of 220 pixels is applied to cut off the outer regions where significant wide-angle distortion happens and may contain YRS lights. Then, the original image size of 512×512 is cropped to 440×440 pixels.</li> <li> Rotation. We rotated the images counter-clockwise by 61.11 with the north being upward.</li> </ul> <p><strong>Data naming convention:</strong></p> <p>Each auroral data has a unique file name that contains the N/S, date, band, and time information.</p> <p><em>Filename example:</em> N20031221G081212.</p> <ul> <li>N: North pole</li> <li>20031221: December 21, 2003</li> <li>G: G-band</li> <li>081212: 8:12:12 UT</li> </ul>
Observation of low-energy sub-gap states in a supramolecular electron spin lattice on superconducting Pb(111)
<p>Data set of the manuscript "Gate-tunable topological superconductivity in a supramolecular electron spin lattice"</p>
Objective sleep quality predicts subjective sleep ratings: a multiday observational study
<p>This dataset serves as supplementary material for the referenced article.</p>
Observation Data of HFC-23 at the GIG Site in Southern China
<p>The measured data used in the study "Constraining trifluoromethane (HFC-23) emission in eastern China based on two-year online measurements"</p>
FIGURE 2 in A new species of Eocene fossil Malthodes (Coleoptera: Cantharidae) with a rarely observed aedeagus
FIGURE 2. Malthodes (Malthodes) maximiliani sp. nov. in Baltic amber. Reconstruction of last abdominal segments.
FIGURE 1 in A new species of Eocene fossil Malthodes (Coleoptera: Cantharidae) with a rarely observed aedeagus
FIGURE 1. Malthodes (Malthodes) maximiliani sp. nov. holotype, in Baltic amber. A, ventral view; B, lateral view; C, detail of antenna; D, detail of last abdominal segments (ventro-lateral view).
Alkenone Unsaturation Index, UK'37-Calculated SST and Observational SST (Aqua MODIS and WOA13) from samples of the South Brazilian Bight
<p>The file contains data on the alkenone unsaturation index from samples retrieved in the SW Brazilian margin (-23 °S to -27 °S), the calculated SST using five equations, observational SST data from the NASA Aqua MODIS Mission, and SST data from the World Ocean Atlas (2013) from the same sites, and the residuals between the calculated SST and the observational SST.</p>
Animation, MESA inlists, and post-processing package for "Is Betelgeuse really rotating? Synthetic ALMA observations of large-scale convection in 3D simulations of Red Supergiants"
<p>Videos, post-processing package for mock ALMA observations, MESA (r23.05.1 with mesasdk-x86_64-linux-23.7.3) inlists and history files, Jupyter notebook and data to reproduce figures of the paper "Is Betelgeuse really rotating? Synthetic ALMA observations of large-scale convection in 3D simulations of Red Supergiants".</p>
Understanding the Asian Water Tower requires a new precipitation observation strategy
<p>The Asian water tower (AWT) serves as the source of 10 major Asian river systems and supports the lives of ~2 billion people. Obtaining reliable precipitation data over AWT is a prerequisite for understanding the water cycle within this pivotal region. Here, we quantitatively reveal that the “observed” precipitation over the AWT is considerably underestimated in view of observational evidence from three water cycle components, namely, evapotranspiration, runoff and accumulated snow. We found that three paradoxes appear if the so-called “observed” precipitation is corrected, namely, actual evapotranspiration exceeding precipitation, unrealistically high runoff coefficients, and accumulated snow water equivalent exceeding contemporaneous precipitation. We then explained the cause of precipitation underestimation from instrumental error caused by wind-induced gauge undercatch and the representativeness error caused by sparse-uneven gauge density and complexity of local surface conditions. These findings require us to rethink previous results related to the water cycle, and the study then introduced potential solutions.</p> <p>This provides the main dataset used in this study, including the observed precipitation, evapotranspiration, runoff, and snow water equivalent across AWT.</p>
Observation Database for Exploring the footprint representation of microwave radiance observations in an Arctic limited-area data assimilation system
<p>Basic matplotlib visualization for observational databases.<br>Archive files, readme, and visualisation script are attached.</p> <p>The python script visualizes the statistics related to observation <br>minus background departures for AMSU-A and MHS sensors using<br>the default and footprint observation operators in the AROME-Arctic data assimilation system.</p> <p>The corresponding preprint:<br>gmd-2023-195 | Submitted 02 Oct 2023 | Development and technical paper<br>Exploring the footprint representation of microwave radiance observations in an Arctic limited-area data assimilation system<br>Máté Mile, Stephanie Guedj, and Roger Randriamampianina </p>
Experimental observation of Earth's rotation with quantum entanglement
<p>Raw data of the article titled "Experimental Observation of Earth’s Rotation with Quantum Entanglement".</p>
Observation of carrier cooling in direct band gap hexagonal silicon-germanium
Open the record for dataset details and reuse information.
FIGURE 15 in Two New Taxa of Goniasteridae (Asteroidea, Echinodermata) and Noteworthy Observations of Deep-Sea Asteroidea by the NOAA Ship Okeanos Explorer in the North and Tropical Atlantic
FIGURE 15. Sphaeriodiscus sp. A.–B. north of Terceira Island, 723–730 m. C. S. ammophilus, Kona coast, Hawaiian Islands 392 m
FIGURE 17 in Two New Taxa of Goniasteridae (Asteroidea, Echinodermata) and Noteworthy Observations of Deep-Sea Asteroidea by the NOAA Ship Okeanos Explorer in the North and Tropical Atlantic
FIGURE 17. Solaster and solasterid-pterasterid predation event. A. Solaster sp. feeding. B. Solasterid-pterasterid predation. Blake Spur Trough, North Atlantic, 3611 m.
FIGURE 14. Rhianastra isoceles n. gen, n in Two New Taxa of Goniasteridae (Asteroidea, Echinodermata) and Noteworthy Observations of Deep-Sea Asteroidea by the NOAA Ship Okeanos Explorer in the North and Tropical Atlantic
FIGURE 14. Rhianastra isoceles n. gen, n. sp. in situ. A. Holotype, Gosnold Seamount, 1752 m. B. Six rayed variant, Retreiver Seamount, 1878 m.
FIGURE 11 in Two New Taxa of Goniasteridae (Asteroidea, Echinodermata) and Noteworthy Observations of Deep-Sea Asteroidea by the NOAA Ship Okeanos Explorer in the North and Tropical Atlantic
FIGURE 11. Evoplosoma watlingi (Goniasteridae) A. Dumbell Seamount, 2396 m. B. Corner Rise 1 Seamount, 2450 m.
FIGURE 4. Anthenoides peircei. A. Puerto Rico, 472 m in Two New Taxa of Goniasteridae (Asteroidea, Echinodermata) and Noteworthy Observations of Deep-Sea Asteroidea by the NOAA Ship Okeanos Explorer in the North and Tropical Atlantic
FIGURE 4. Anthenoides peircei. A. Puerto Rico, 472 m. Green dots (lasers)=10 cm. B. On vertical wall, Lang Bank, Puerto Rico, 286 m. C. Feeding, Lang Bank, Puerto Rico, 312 m.
FIGURE 3 in Two New Taxa of Goniasteridae (Asteroidea, Echinodermata) and Noteworthy Observations of Deep-Sea Asteroidea by the NOAA Ship Okeanos Explorer in the North and Tropical Atlantic
FIGURE 3. Tremaster (Asterinidae) A. Tremaster sp. Kai Ridge, 1824 m. Arrows indicating gonopores. B. Tremaster mirabilis, Puerto Rico.
FIGURE 13. Rhianastra isosceles n. gen, n in Two New Taxa of Goniasteridae (Asteroidea, Echinodermata) and Noteworthy Observations of Deep-Sea Asteroidea by the NOAA Ship Okeanos Explorer in the North and Tropical Atlantic
FIGURE 13. Rhianastra isosceles n. gen, n. sp. A. Abactinal. B. Abactinal plates. C. Abactinal surface. D. Lateral surface showing marginal plates. E. Actinal view. F. Furrow and actinal surface. Scale: A,E=10.0 mm, B=1.0 mm, C, F=3.0 mm, D=2.0 mm
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.