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10,016 results for “Observation”
Figure 5. Female Neobrettus tibialis with their broods. 1, Female tending recently deposited eggs covered with flecked silk. 2, Female with emergent instar 1 spiderlings, showing little pigmentation. 3, Female tending instar 1 spiderlings with more eye pigmentation. 4-5, Females with older instar 1 spiderlings. 6-7, Females with mixed instar 1 and 2 in New observations of the jumping spider Neobrettus tibialis (Araneae: Salticidae: Spartaeini) in West Bengal, India
Figure 5. Female Neobrettus tibialis with their broods. 1, Female tending recently deposited eggs covered with flecked silk. 2, Female with emergent instar 1 spiderlings, showing little pigmentation. 3, Female tending instar 1 spiderlings with more eye pigmentation. 4-5, Females with older instar 1 spiderlings. 6-7, Females with mixed instar 1 and 2 spiderlings.
Figure 8 in New observations of the jumping spider Neobrettus tibialis (Araneae: Salticidae: Spartaeini) in West Bengal, India
Figure 8. Selected video frames (25 fps) showing the filial oophagy of female Neobrettus tibialis. 1-3, Both males and females waved their pedipalps and extended legs I as they fed. 4-9, In this sequence the female used her chelicerae to pull up the silk fabric covering her eggs and appeared to feed on the associated flecks. 10-11, Sequential frames showing egg before (10, arrow) and after (11) its removal from the brood nest. 12-17, Sequential frames showing symmetrical lateral movement of the pedipalps as a female fed on one of her eggs.
Figure 7. Feeding adult male Neobrettus tibialis. 1 in New observations of the jumping spider Neobrettus tibialis (Araneae: Salticidae: Spartaeini) in West Bengal, India
Figure 7. Feeding adult male Neobrettus tibialis. 1, Feeding on small insect. 2, Feeding on nematoceran. 3, Filial oophagy. 4, Oophagy combined with feeding on an insect larva. This might represent capture of an oophagous parasitoid that would otherwise compete for the female's supply of eggs. 5, Detail from (4),
Figure 1 in New observations of the jumping spider Neobrettus tibialis (Araneae: Salticidae: Spartaeini) in West Bengal, India
Figure 1. Locality (red circles) where Neobrettus tibialis was observed by the lead author (IB), southeast of Kolkata in the vicinity of the Chintamani Kar Bird Sanctuary (N22.4273°, E88.4029°). 1, Relationship of study site to Kolkata in West Bengal. 2, Detailed aerial view of study site. Background images courtesy of USGS Landsat Project.
Figure 4 in First observation of Myrmarachne species feeding on ants (Araneae: Salticidae: Myrmarachnini)
Figure 4. Adult female Siler semiglaucus (Simon 1901) feeding on an ant, Chiang Dao Province, Thailand (30 NOV 2018).
Figure 2 in First observation of Myrmarachne species feeding on ants (Araneae: Salticidae: Myrmarachnini)
Figure 2. Myrmarachne sp. A. from Chiang Dao Province, Thailand. 1-4, Female feeding on small ants, Tapinoma melanocephala (16 DEC 2018). 5-7, Second female which fed on T. melanocephala (19 DEC 2018). 8, Male found on Roselle plant that appears to be of the same species as the two females (2 JAN 2019).
Figure 3 in First observation of Myrmarachne species feeding on ants (Araneae: Salticidae: Myrmarachnini)
Figure 3. Myrmarachne sp. B. from Chiang Dao Province, Thailand. 1, Female feeding on small ant, Tapinoma melanocephala (26 DEC 2018). 2-3, Two more views of the same female Myrmarachne. 4, Roselle fruit (Hibiscus sabdariffa).
Figure 1. Ants from Chiang Dao Province, Thailand. 1 in First observation of Myrmarachne species feeding on ants (Araneae: Salticidae: Myrmarachnini)
Figure 1. Ants from Chiang Dao Province, Thailand. 1, Dolichoderus sp., a larger ant apparently mimicked by Myrmarachne sp. A. 2, Feeding group of smaller ants, Tapinoma melanocephala, taken as prey by Myrmarachne on a kitchen chopping board.
State of the Art in Exoplanets Observing Methods: Radial Velocity and Transit
<p>Recording of the presentation given at the Summer School</p>
Lightcurves, Colour-Colour Ratio and CuSum plots for HD 179949 Chandra Observations - Acharya et al. (2022)
<p>Plots made for the paper "X-ray Activity on SPI Candidate HD 179949" Anshuman Acharya et al. (2022). This includes:<br> 1. All Light curves for the 7 passbands considered (4 physically motivated + 3 default Chandra passbands) + Broad band (0.5 - 7.0 keV) for the 5 datasets. The filename format is: "dataset ObsID"_"passband name"_lightcurve.pdf.<br> 2. Colour-colour ratios for the passbands (9 combinations) for the 5 datasets. The filename format is: "dataset ObsID"+ColourRatio_"soft passband name"+"hard passband name".pdf.<br> 3. Cumulative Sum of residuals plot for Model 1 (referred to as model 2m in the paper: chosen model for 6121, not chosen for 5427 and 6119) and Model 2 (referred to as model 2v in the paper: chosen model for 5427, 6119, 6121 and 6122). Note that Model 1 plots for ObsIDs 6120 and 6122 are not made as <span class="math-tex">\(\Delta\)</span>Cstat > 2 <span class="math-tex">\(\sigma\)</span> for them. The filename format is: Model1/Model2_"dataset ObsID"_residuals_for_CuSum.pdf.<br> 4. p-value calculated for the Cumulative Sums for all the above cases. The filename format is: Model1/Model2_"dataset ObsID"_p-value_for_CuSum.pdf.</p> <p>Dataset ObsIDs are: 5427, 6119, 6120, 6121 and 6122.<br> Passbands used:<br> Physically motivated: Oxy (0.5-0.7 keV), Fe (0.7-0.9 keV), Ne (0.9-1.2 keV), Mg (1.2-3.0 keV).<br> Default Chandra passbands: ultrasoft (0.2-0.5 keV), soft (0.5-1.2 keV), medium + hard (1.2-8.0 keV), broad (0.5-7.0 keV).</p>
Daily satellite and gauge observed rainfall dataset (1980-2019) for Oman at 1km spatial resolution in GeoTIFFs
<p>This is a re-gridded daily TRMM datasets. It has been resampled to 1km spatial resolution. The datasets have also been projected to UTM 40N</p>
Observed water level from 2015 to 2019 in 4 wells from a porous fractured aquifer in Burgundy, France
<p>This repository hosts the data used for drawing figure 8 from Jeannot et al.(submitted). The dataset is made of observed water levels from 2015 to 2019 in 4 wells from a porous fractured aquifer in Burgundy, France. The sampling time step is 2 hours.</p> <p><strong>Cited bibliography</strong></p> <p>Jeannot, B., Schaper, L., and Habets, F., submitted. Water Level in Observation Wells Simulated from Fracture and Matrix Water Heads Outputed by Dual-continuum Hydrogeological Models : POWeR-FADS. <em>Water Resources research</em></p>
Camouflage Tree Observation Post
WW1 Observation post disguised as a pollarded willow tree. Now located in the Imperial War Museum, London. Museum collection database describes it as German. Museum signage describes it as British. From Twitter @I_W_M: "The British employed around 45 of these trees, most being put in position prior to the Battle of the Somme in 1916. It's possible IWM's tree was in a position overrun by the Germans, either during a counterattack or during their offensive in spring 1918. The ground and tree would then have been retaken by the British, leading to the belief that it was of German origin. The tree is described as being German in early IWM paperwork, which is why the confusion has persisted, and a note will be added to its record." Date: 1910s https://www.iwm.org.uk/collections/item/object/30028510 53 photos taken in September 2020 with a Sony a6000 and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab
WW1 covered observation post, Helsinki, Finland
First World War covered observation post in [Krepost Sveaborg](https://en.wikipedia.org/wiki/Krepost_Sveaborg) land front defense line in base XVII:13 Länsi-Pakila, Helsinki, Finland. The base was built in 1915 - 1918. More info: * [Location in Google Maps](https://goo.gl/maps/BjpbKrKLwTadFQNF8) * [Wikipedia: Krepost Sveaborg](https://en.wikipedia.org/wiki/Krepost_Sveaborg) * [John Lagerstedt , Markku Saari: Krepost Sveaborg](http://www.novision.fi/viapori/eavaus.htm) * [Finnish Heritage Agency site info](https://www.kyppi.fi/to.aspx?id=112.1000013711) (only in finnish) Source: Objaverse 1.0 / Sketchfab
WW1 observation post, Helsinki, Finland
First World War observation/firing position (type B) in base XV:1 in [Krepost Sveaborg](https://en.wikipedia.org/wiki/Krepost_Sveaborg) land front defense line in Tuomarinkartano, Helsinki, Finland. The base was built in 1915 - 1918. This base contains the only two intact type B observation post in the whole land front. The whole base contains: * 40 meters of thrench * 2 type B firing and observations positions (both intact) * 2 machine gun positions (1 intact, 1 destroyed) * 2 shelter rooms (1 intact, 1 destroyed) More info: * [Location in Google Maps](https://goo.gl/maps/bTgZidNjDzoG1kGJA) * [Wikipedia: Krepost Sveaborg](https://en.wikipedia.org/wiki/Krepost_Sveaborg) * [John Lagerstedt , Markku Saari: Krepost Sveaborg](http://www.novision.fi/viapori/eavaus.htm) * [Finnish Heritage Agency site info](https://www.kyppi.fi/to.aspx?id=112.1000013609) (only in finnish) Source: Objaverse 1.0 / Sketchfab
Observations of snowpack distribution and meteorological variables at the Izas Experimental Catchment (Spanish Pyrenees) from 2011 to 2017
<p>We present a climatic dataset acquired at Izas Experimental Catchment, in the Central Spanish Pyrenees, from 2011 to 2017 snow seasons. The dataset includes information on different meteorological variables acquired with an Automatic Weather Station including precipitation, air temperature, incoming and reflected short and long-wave radiation, relative humidity, wind speed and direction, atmospheric air pressure, surface temperature (snow or soil surface) and soil temperature; all of them at 10 minute intervals. Snow depth distribution was measured during 23 field campaigns using a Terrestrial Laser Scanner (TLS), and there are also available time-lapse photographs from which can be derived daily information of different variables such as the Snow Covered Area. The experimental site is located in the southern side of the Pyrenees between 2000 and 2300 m above sea level with an extension of 55 ha. The site is a good example of sub-alpine ambient of mid-latitude mountain ranges. Thus, the dataset has a great potential for understanding environmental processes from a hydrometerological or ecological perspective in which snow dynamics play a determinant role.</p>
"Abdominal pain in emergency departments in a well-developed primary care system, a retrospective observational study"
<p>This is the dataset that is used for the original article:</p> <p>“Abdominal pain in emergency departments in a well-developed primary care system, a retrospective observational study”</p>
KORUS-AQ gridded O3, NOx, and CO observations created using ground station data
<p>We present gridded surface air quality datasets over South Korea for three key species – ozone (O<sub>3</sub>), carbon monoxide (CO), and nitrogen oxides (NO<sub>x</sub>) during the timeframe of the Korea–US Air Quality (KORUS–AQ) mission (May–June 2016). The tenth degree hourly averaged abundances are constructed from the 300+ air quality network sites using inverse distance weighting with simple declustering. Cross–comparing the interpolated fields against the site data that was used to create them reveals high prediction skill for O<sub>3</sub> (80%) throughout South Korea, and moderate skill (60%) for CO and NOx on average in densely observed regions after individual mean bias corrections. The gridded O<sub>3</sub> and CO interpolations predict the NASA DC–8 observations in the planetary boundary layer (PBL) with high skill (80%) in the Seoul Metropolitan Area (SMA) after subtracting the mean bias. DC–8 NOx observations were much less predictable on account of consistently negative vertical gradients within the PBL. Our gridded products capture the mean and variability of O<sub>3</sub> throughout South Korea, and of CO and surface NO<sub>x</sub> in most site–dense urban centres (SMA, Cheongju, Gwangju, Daegu, Changwon, and Busan).</p>
Raw data for "Direct Observation of Atmospheric Turbulence with a Video-rate Wide-field Wavefront Sensor" (Part. 1)
<p>Raw data for "Direct Observation of Atmospheric Turbulence with a Video-rate Wide-field Wavefront Sensor" (Part. 1). For usage, please refer to https://github.com/freemercury/Widefield_wavefront_sensor.</p>
Langley Mobile Ozone Lidar observation of the O3 and aerosol variability during the 2024/04/08 solar eclipse
<p>This dataset corresponds to the observation of the O3 at Nasa Langley Research Center in Hampton, Virginia, during the Solar eclipse of 2023/04/08.</p> <p>This dataset contains, in addition to the O3 that can be found at https://tolnet.larc.nasa.gov, the aerosols backscattering and the aerosols boundary layer (which is presented in form of black mark in the accompanying image)</p>
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.