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10,016 results for “Observation”
FIGURE 5. Group II in Palynological observations on the genus Gundelia L. (Asteraceae) growing in Turkey
FIGURE 5. Group II: SEM micrographs of pollen grains (equatorial view) and ornamentation. d) Gundelia siirtica, e) G. armeniaca, f) G. purpurascens, g) G. cilicica, h) G. mesopotamica, i) G. armata, j) G. dersim, k) G. asperrima, l) G. glabra, m) G. munzuriensis, n) G. tournefortii var. tenuisecta (Scale bar: pollen grains 20 µm and ornamentation 5 µm).
Figure 7 in New records and ecological observations on Greek cave crickets (Orthoptera: Rhaphidophoridae)
Figure 7. The site of the Stontzi rock formation in Pades, Epirus, where most of our biological observations took place. a) Stontzi, aerial view in late autumn. The fissure splits the rock into three main towers. Note that the formation is covered by a pine forest; b) Ground level view of Stontzi, from the deciduous forest islet contained in the fissures of the rock formation; c) Deciduous forest floor and man-made stone wall, which are used by D. lustriae and T. zorae for foraging; d) Example of a crevice on the Stontzi rock formation which is used as a shelter by D. lustriae and T. zorae during the day.
Figure 5 in New records and ecological observations on Greek cave crickets (Orthoptera: Rhaphidophoridae)
Figure 5. External female genitalia of D. lustriae from Pades, Epirus. a) Subgenital plate, ventral view; b) Base of ovipositor and subgenital plate, lateral view.
Figure 3 in New records and ecological observations on Greek cave crickets (Orthoptera: Rhaphidophoridae)
Figure 3. External male genitalia of D. lustriae from Pades, Epirus. a) Caudal view, tg9 = tergum nine, t = tubercle of tergum ten, black unmarked arrows indicate the spines of the paraproct; b) Same, ventrocaudal view; c) Dorsal view, A = anterior, P = posterior; d) Ventral view.
Figure 2 in New records and ecological observations on Greek cave crickets (Orthoptera: Rhaphidophoridae)
Figure 2. Habitus photographs of a male D. lustriae from Pades, Epirus. a) Lateral view, black arrows indicate position of femoral spines; b) Dorsal view.
Targeted lipidomics yields changes in both arachidonic acid and linoleic acid pathways observed in C57BL/6J mice compared to KitW-sh mice after nitrogen mustard exposure
<p>Sulfur mustard (SM) has been widely used as a chemical warfare agent including most recently in Syria. Mice exposed to SM exhibit an increase in pro-inflammatory cytokines followed by immune cell infiltration in the lung, however, the mechanisms leading to these inflammatory responses has not been completely elucidated. Mast cells are one of the first responding innate immune cells found at the mucosal surfaces of the lung and have been reported to be activated by SM in the skin. Therefore, we hypothesized that nitrogen mustard (NM: a surrogate for SM) exposure promotes activation of mast cells causing chronic respiratory inflammation. To assess the role of mast cells in NM-mediated pulmonary toxicity, we compared the effects of NM exposure between C57BL/6 and B6.Cg-KitW-sh/HNihrJaeBsmJ (Kit<sup><em>W-s</em></sup><sup>h</sup>; mast cell deficient) mice. Lung injury was observed in C57BL/6J mice following NM exposure (0.125 mg/kg) at 72 h, which was significantly abrogated in Kit<sup><em>W-s</em></sup><sup>h</sup> mice. Although both strains exhibited damage from NM, C57BL/6J mice had higher inflammatory cell infiltration and more elevated prostaglandin D<sub>2</sub> (PGD<sub>2</sub>) present in bronchoalveolar lavage fluid compared with Kit<sup><em>W-s</em></sup><sup>h</sup> mice. Additionally, we utilized murine bone marrow-derived mast cells to assess NM-inducedearly and late activation. Although NM exposure did not result in mast cell degranulation, we observed an upregulation in PGD<sub>2</sub> and IL-6 levels following exposure to NM. Results suggest that mast cells play a prominent role in lung injury induced by NM and may contribute to the acute and potentially long-term lung injury observed caused by SM.</p>
Applying the double observer methodology for assessing blue sheep population size in Nar Phu Valley, Annapurna Conservation Area, Nepal
<p>This study was undertaken in spring, 2019 to assess the applicability of the Double-Observer survey method for estimating blue sheep <i>Pseudois nayaur</i> abundance in Nar-Phu valley of Manang District located in Annapurna Conservation Area of northern Nepal. Since counting large mammals in rugged mountain habitat poses a special challenge, we tested the efficacy of the Double Observer method for generating robust population estimates for this important protected area. The overall detection probability for observers (O1 and O2) was 0.94 and 0.91 for a total of 106 groups comprised of 2,059 individual blue sheep. We estimated the area's blue sheep population at 2,070 (SE<span> ±</span>168.77; 95% CI 2,059 – 2,405) for the 246.2 km² of sampled habitat. We determined blue sheep to be widely distributed within the study area with a mean density of 8.4 individuals per km<sup>2</sup> based on a total study area of 246.2 km<sup>2</sup>. We discuss demographic population structure and identify limitations when applying the <i>Double Observer</i> approach, along with recommending viewshed mapping for ensuring more robust density estimates of mountain-dwelling ungulates like blue sheep or ibex that inhabit extremely heterogeneous terrain which strongly influences sighting distances and overall animal detection rates.</p>
The observed mass distribution of Galactic black hole LMXBs is biased against massive black holes
<p>Jupyter Notebook plus necessary data files to recreate the figures, the numbers reported, and a table in the publication.</p> <p>Also available at: <a href="http://arxiv.org/abs/2104.03596">http://arxiv.org/abs/2104.03596</a></p> <p> </p>
One-dimensional delayed-detonation models of Type Ia supernovae: Confrontation to observations at bolometric maximum
<p>Maximum-light spectra of the DDC model series from <a href="https://ui.adsabs.harvard.edu/abs/2013MNRAS.429.2127B">Blondin et al. 2013, MNRAS, 429, 2127</a>, as well as the hydro grid (velocity, density) and abundance profiles for <sup>56</sup>Ni, Ni, Si, and O within 20-60 s from explosion.<br> <br> The optical and NIR passbands used to compute <em>UBVRIJHK<sub>s</sub></em> magnitudes are also available.</p>
Adopt a Pixel 3 km: A Multiscale Data Set Linking Remotely Sensed Land Cover Imagery with Field Based Citizen Science Observation
<p>These datasets were used in an article submitted to the journal Frontiers in Climate in 2021: <a href="https://www.frontiersin.org/articles/10.3389/fclim.2021.658063/full">https://www.frontiersin.org/articles/10.3389/fclim.2021.658063/full</a></p> <p>Further supplemental links (including general information about GLOBE data) can be accessed at <a href="https://observer.globe.gov/get-data/mosquito-habitat-data">https://observer.globe.gov/get-data/mosquito-habitat-data</a>.</p>
Datasets for :Atmospheric chemistry of oxalate: Insight into the role of relative humidity and acidity from high-resolution observation.
<p>The datasets in this file were used to generate figures for the paper titled"Atmospheric chemistry of oxalate: Insight into the role of relative humidity and acidity from high-resolution observation."</p> <p>The datasets include the hourly concentration of atmospheric composition and meteorological parameters in Nanjing Area.</p>
Observational data for central European forest sites and LPJ-GUESS simulation data for European forests.
<p>Observational data for central European forest sites and LPJ-GUESS simulation data for European forests.used to produce figures and tables in: Lindeskog et al.: Accounting for forest management in the estimation of forest carbon balance using the dynamic vegetation model LPJ-GUESS (v4.0, r9710): Implementation and evaluation of simulations for Europe.Geosci.Model.Dev.14:1-41, 2021.</p>
Comprehensive observation data in Xiangyang for the period January 3 to January 9, 2019
<p>This dataset presents the comprehensive observation data used in the analysis of a heavy pollution event in Xiangyang for the period January 3 to January 9, 2019. The data of meteorological elements, turbulence variables, temperature profile, PBL height, inversion-layer, relatively humidity profile, vertical distribution of PM<sub>2.5</sub>, wind speed and direction was available in each sheet of the Excel file.</p>
Dataset for "Increased variability in Greenland Ice Sheet runoff from satellite observations"
<p>##################################</p> <p>This archive contains source data for Slater et al. 2021 - Increased variability in Greenland Ice Sheet runoff from satellite observations, published in Nature Communications:</p> <p><a href="https://doi.org/10.1038/s41467-021-26229-4">https://doi.org/10.1038/s41467-021-26229-4</a></p> <p><br> Centre for Polar Observation and Modelling, School of Earth and Environment, University of Leeds<br> Corresponding author: t.slater1@leeds.ac.uk</p> <p>##################################</p> <p><br> The interannual elevation change maps, seasonal elevation change and runoff data are contained in the following data files:</p> <p><br> --------------------------------------------------------------<br> gris_ablation_zone_dh_cryosat.csv<br> --------------------------------------------------------------<br> Surface height change time series for the Greenland Ice Sheet ablation zone (in m) derived from CryoSat-2 satellite radar altimetry, and its estimated 1 sigma uncertainty between 2011 and 2020<br> --------------------------------------------------------------<br> gris_ablation_zone_dh_may_aug_cryosat.csv<br> --------------------------------------------------------------<br> Seasonal height changes between May and August (in m) for the Greenland Ice Sheet ablation zone within the 8 principal Zwally drainage basins derived from CryoSat-2 satellite radar altimetry between 2011 and 2020</p> <p>--------------------------------------------------------------<br> gris_ablation_zone_dh_may_aug_cryosat.csv<br> --------------------------------------------------------------<br> Seasonal height changes between September and April (in m) for the Greenland Ice Sheet ablation zone within the 8 principal Zwally drainage basins derived from CryoSat-2 satellite radar altimetry between 2011 and 2020</p> <p>--------------------------------------------------------------<br> gris_interannual_seasonal_dhdt_cryosat.nc<br> --------------------------------------------------------------<br> Interannual and seasonal elevation trends derived from CryoSat-2 satellite radar altimeter data acquired between 2011 and 2020. Posted on a 5 km grid in polar stereo graphic projection using EPSG:3413 - WGS 84 / NSIDC Sea Ice Polar Stereographic North </p> <p>--------------------------------------------------------------<br> gris_runoff_cryosat.csv<br> --------------------------------------------------------------<br> Annual Greenland Ice Sheet runoff estimates and their estimated uncertainty derived (in Gt/yr) derived from CryoSat-2 satellite radar altimetry between 2011 and 2020</p> <p>--------------------------------------------------------------<br> Acknowledgements:</p> <p>This work was supported by NERC through National Capability funding, undertaken by a partnership between the Centre for Polar Observation Modelling and the British Antarctic Survey, and by the European Space Agency’s Polar+ Earth Observation for Mass Balance study (4000132154/20/I-EF). M.M was supported by the Lancaster University-UKCEH Centre of Excellence in Environmental Data Science. A.L was supported by the NERC Meltwater Ice-sheet Interactions and the changing climate of Greenland research grant (MII Greenland NE/S011390/1). B.N was funded by NWO VENI grant VI.Veni.192.019. M.v.d.B and P.K.M acknowledge support from the Netherlands Earth System Science Centre (NESSC). Computational resources used to perform MAR simulations have been provided by the Consortium des Équipements de Calcul Intensif (CÉCI), funded by the F.R.S.FNRS under grant 2.5020.11 and the Tier-1 supercomputer (Zenobe) of the Fédération Wallonie Bruxelles infrastructure funded by the Walloon Region under grant agreement 1117545.</p> <p>Projects:</p> <p>European Space Agency’s Polar+ Earth Observation for Mass Balance study (4000132154/20/I-EF)</p> <p><a href="https://smb.eo4cryo.dk/">https://smb.eo4cryo.dk/</a></p>
The evolution of abnormally coarse grain structures in beta-annealed Ti-6Al%-4V% rolled plates, observed by in-situ investigation.
<p>The complete data set of EBSD maps used for the publication: The evolution of abnormally coarse grain structures in beta-annealed Ti-6Al%-4V% rolled plates, observed by in-situ investigation.</p>
Data for Laboratory Observations of Electron Heating and non-Maxwellian Distributions at the Kinetic Scale During Electron-Only Magnetic Reconnection
<p>Simulation data as appearing in the Supplementary of the paper titled "Laboratory Observations of Electron Heating and non-Maxwellian Distributions at the Kinetic1Scale During Electron-Only Magnetic Reconnection".</p>
2016 Mercury Transit Observations at BBSO / FISS
<p>Data on the May 9 2016 solar transit of Mercury from the FISS instrument at Big Bear Solar Observatory. Covers both the sodium D lines at R~1.4e5</p>
FIGURE 6 in Description and biological observations on a new species of deepwater symphurine tonguefish (Pleuronectiformes: Cynoglossidae: Symphurus) collected at Volcano – 19, Tonga Arc, West Pacific Ocean
FIGURE 6. In situ photographs of two individuals of Symphurus maculopinnis, n. sp., observed on Volcano–19, Tonga Arc, West Pacific, featuring different asymmetries. A. Specimen with sinistral asymmetry photographed at ca. 439 m. B. Frame grab of specimen featuring reversed (dextral) asymmetry videographed at ca. 560 m. Note also posture of both fish with raised caudal regions displaying prominent spots on posterior dorsal and anal fins as they swim over the bottom.
FIGURE 5 in Description and biological observations on a new species of deepwater symphurine tonguefish (Pleuronectiformes: Cynoglossidae: Symphurus) collected at Volcano – 19, Tonga Arc, West Pacific Ocean
FIGURE 5. Close-up views of ocular (A) and blind (B) sides of head of Symphurus maculopinnis, n. sp. (Holotype USNM 398820; female, 84.4 mm SL) collected at 561 m on Volcano–19, Tonga Arc, West Pacific. Arrows indicate areas with conspicuous rows of dermal papillae.
FIGURE 3 in Description and biological observations on a new species of deepwater symphurine tonguefish (Pleuronectiformes: Cynoglossidae: Symphurus) collected at Volcano – 19, Tonga Arc, West Pacific Ocean
FIGURE 3. Radiograph of Symphurus maculopinnis, n. sp. (Holotype USNM 398820; female, 84.4 mm SL), collected at 561 m on Volcano–19, Tonga Arc, West Pacific.
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.