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10,016 results for “Observation”
Figure data for the paper: "Spectral Observations of Optical Emissions Associated with Terrestrial Gamma-Ray Flashes"
<p>This repository contains 13 files with data which were used to produce the figures in the paper "Spectral Observations of Optical Emissions Associated with Terrestrial Gamma-Ray Flashes" by Heumesser et al. The description of the different files is included in the supporting information of the paper and additionally uploaded here, see "2020GL090700_OpticalEmissionsAssociatedwithTGFs_SupportingInformation".</p>
Specular Meteor Radar wind estimates from Tirupati, used in "Validation of ICON-MIGHTI thermospheric wind observations: 2. Greenline comparisons to specular meteor radars" by Harding et al. (2021)"
<pre>This dataset was used to generate the figures in the paper mentioned above and is being made available for the sake of reproducibility and future analysis. The primary variables are u0, v0 (the zonal and meridional wind profiles observed by the meteor radar). Dimensions are "time" and "alt" (in km). Velocity units are m/s, and lat/lon are in degrees. More information can be found in the paper. Please contact and get permission from the data providers (M. Venkat Ratnam and S. Vijaya Bhaskara Rao) before using the data in any publications or presentations.</pre>
Spectral data used in the paper "Intense Zonal Wind in the Martian Mesosphere During the 2018 Planet-Encircling Dust Event Observed by Ground-based IR Heterodyne Spectroscopy"
<p>This data contains the spectral data used in the paper "Intense Zonal Wind in the Martian Mesosphere During the 2018 Planet-Encircling Dust Event Observed by Ground-based IR Heterodyne Spectroscopy". </p> <p>"MILAHI_2018PEDE_Spectral_Data" is the spectral data and you can find the detailed information of the data in "README".</p> <p> </p> <p> </p>
Radiometric data of GMRT observation of Venus conducted during 2015
<p>The folder contains the Radiometric data of GMRT observation conducted on Venus during 2015 along with the tabular data of Radiative Transfer simulations.</p>
Computational exploration of treadmilling and protrusion growth observed in fire ant rafts
<p><span>Condensed active matter systems regularly achieve cooperative emergent functions that individual constituents could not accomplish alone. The rafts of fire ants (<em>Solenopsis invicta</em>) are often studied in this context for their ability to create structures comprised entirely of their own bodies, including tether-like protrusions that facilitate exploration of flooded environments. While similar protrusions are observed in cytoskeletons and cellular aggregates, they are generally dependent on morphogens or external gradients leaving the isolated role of local interactions poorly understood. Here we demonstrate through an ant-inspired, agent-based numerical model how protrusions in ant rafts may emerge spontaneously due to local interactions and how phases of exploratory protrusion growth may be induced by increased ant activity. These results provide an example in which functional morphogenesis of condensed active matter may emerge purely from locally-driven collective motion and may provide a source of inspiration for the development of autonomous active matter and swarm robotics.</span></p>
Data from: Does the performance of five back-associated exercises relate to the presence of low back pain? A cross-sectional observational investigation in regional Australian council workers
Objectives: investigate the relationships between the ability/inability to perform five physical test-exercises and the presence or absence of low back pain (LBP). Setting: regional Australian council training facility. Participants: consecutive participants recruited during 39 back education classes (8-26 participants per class) for workers in general office/administration, parks/gardens maintenance, roads maintenance, library, child-care and management. Total sample (n=539) was reduced through non-consent and insufficient demographic data to n=422. Age 38.6+/-15.3 years, range 18-64 years, 67.1% male. Methods: cross-sectional, exploratory, observational investigation. LBP presence was ascertained from a three-response option questionnaire: 0=none/rarely (NO) 1=sometimes (Some), 2=mostly/always (Most). Statistical correlation was performed with the number of the five test-exercises the individual successfully performed: 1) extension-in-lying, 3-seconds; 2) 'toilet-squat'; feet flat, feet touched, 3-seconds; 3) full-squat then stand-up, 5-times; 4) supine sit-up, knees flexed, 10-times; and 5) leg-extension, supine bilateral, 10-times. Interventions: nil. Results: for the group 'NO-Some', 94.3% completed 4-5 test-exercises, for 'With', 95.7% completed 0-1 test-exercises. The relationship between LBP presence and number of exercises performed was highly significant (Χ2(10)=300.61, p<0.001). Further, multinomial logistic regression predicting LBP (0=NO, 1=Some, 2=Most) from the number of exercises completed, substantially improved the model fit (initial-2LL=348.246, final-2LL=73.620, Χ2(2)=274.626, p<0.001). As the number of exercises performed increased, the odds of reporting 'Some-LBP' or 'Most-LBP' dropped substantially (odds ratios of 0.34 and 0.17, respectively). Conclusion: the ability to complete/not-complete five test-exercises correlated statistically and significantly with a higher LBP presence/absence in a general working population. Training individuals to complete such exercises could facilitate reductions in LBP incidence however, causality cannot be inferred. Randomized trials are recommended to establish the potential efficacy of exercise-based approaches, considering these five selected exercises, for predicting and managing LBP.
Geolocators lead to better measures of timing and renesting in Black-tailed Godwits and reveal the bias of traditional observational methods
<p>Long‐term population studies can identify changes in population dynamics over time. However, to realize meaningful conclusions, these studies rely on accurate measurements of individual traits and population characteristics. Here, we evaluate the accuracy of the observational methods used to measure reproductive traits in individually marked black‐tailed godwits (<i>Limosa limosa limosa</i>). By comparing estimates from traditional methods with data obtained from light‐level geolocators, we provide an accurate estimate of the likelihood of renesting in godwits and the repeatability of the lay dates of first clutches. From 2012 – 2018, we used periods of shading recorded on the light‐level geolocators carried by 68 individual godwits to document their nesting behaviour. We then compared these estimates to those simultaneously obtained by our long‐term observational study. We found that among recaptured geolocator‐carrying godwits, all birds renested after a failed first clutch, regardless of the date of nest loss or the number of days already spent incubating. We also found that 43% of these godwits laid a second replacement clutch after a failed first replacement, and that 21% of these godwits renested after a hatched first clutch. However, the observational study correctly identified only 3% of the replacement clutches produced by geolocator‐carrying individuals and designated as first clutches a number of nests that were actually replacement clutches. Additionally, on the basis of the observational study, the repeatability of lay date was 0.24 (95% CI 0.17 – 0.31), whereas it was 0.54 (95% CI 0.28 – 0.75) using geolocator‐carrying individuals. We use examples from our own and other godwit studies to illustrate how the biases in our observational study discovered here may have affected the outcome of demographic estimates, individual‐level comparisons, and the design, implementation, and evaluation of conservation practices. These examples emphasize the importance of improving and validating field methodologies and show how the addition of new tools can be transformational.</p>
Training of 7-month-old infants' manual object exploration skills: Effects of active and observational experience
<p>Dataset representing the data of the paper "Training of 7-month-old infants' manual object exploration skills: Effects of active and observational experience."</p>
Dataset for "Galileo observation of electron spectra dawn-dusk asymmetry in the middle Jovian magnetosphere: Evidence for convection electric field"
<p>This dataset contains the numerical values used to generate the figures in the main article and supporting information.</p>
Burgh Island Observation Post
A World War 2 partially buried brick and concrete square structure at the top of Burgh Island, Bigbury-on-Sea, Devon, England. This was probably an observation post and is adjacent to the Huer's Hut (https://skfb.ly/ooZsB). It is not clear how the buildings would have been related or used together during the War. https://archaeologydataservice.ac.uk/archives/view/dob/ai_full_r.cfm?refno=6604 753 photos taken in August 2021 with a Sony a6000 and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab
WW1 observation position, Helsinki, Finland
First World War observation position and incomplete shelter room in base XXIII:7 in [Krepost Sveaborg](https://en.wikipedia.org/wiki/Krepost_Sveaborg) land front defense line in Pohjois-Haaga, Helsinki, Finland. The base was built in 1915 - 1918. The whole base contains: * 2 observations position * 3 machine gun positions * 3 shelter rooms More info: * [Location in Google Maps](https://goo.gl/maps/9uPCuipbaF3kJcrL7) * [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=112.1000013840) (only in finnish) Source: Objaverse 1.0 / Sketchfab
Dartmoor Observation Post
WW2 Royal Observer Corps observation post located on the south west slop of Western Beacon. Little information can be found on this ruined building and it has no Pastscape record. It was mentioned by John Howell in the September 2014 issue of The Ivybridge magazine (page 6). Location: 50°24'7.576"N, -3°53'53.861"E (SX651575) Source: Objaverse 1.0 / Sketchfab
High-resolution air temperature observations near the surface using fiber-optic distributed temperature sensing
<p>Time-lapse animation of air temperature observations near the surface, highlighting wave-like motion in opposite direction of the mean wind. </p> <p> </p>
Southeastern Australian rescued observational climate network, 1788–1859
<p>Historical meteorological observations for southeastern Australia, covering 1788–1859. The dataset contains digitised versions of 38 sources of historical temperature, rainfall and pressure information for the southeastern Australian region. It also contains monthly and seasonal anomalies of southern and eastern SEA climate variability for 1788 to 1859. This dataset was developed as part of the South Eastern Australian Recent Climate History project (SEARCH, www.climatehistory.com.au).</p>
Observation of the Benthos
<p>Details need to be added, test is ongoing</p>
Sequence of snow maps produced from Sentinel-2 type of observations (SPOT-5 Take 5) over the Deux Alpes and Alpe d'Huez ski resorts
<p>This is a series of snow cover maps between April 11 and September 8, 2015 over a region that covers the Deux Alpes and Alpe d'Huez ski resorts in France. The snow maps were produced from a SPOT-5 Take 5 images using the "Let-it-snow" processor (v1.0, June 2016: http://tully.ups-tlse.fr/grizonnet/let-it-snow).</p> <p>The SEB folder contains 20 GeoTiff at 10 m résolution in Lambert-93 projection system coded as follows (cf. http://tully.ups-tlse.fr/grizonnet/let-it-snow#products-format):</p> <p> 0: No-snow<br> 100: Snow<br> 205: Cloud including cloud shadow<br> 254: No data</p> <p>The "anim_no05jul_opt" animated gif was produced from these data after performing a simple temporal interpolation given by the following rules:</p> <ul> <li>If a pixel masked by a cloud was marked as snow in the preceding image and in the following image, then it is reclassified as a snow pixel.</li> </ul> <ul> <li>If a pixel masked by a cloud was marked as no-snow in the preceding image and in the following image, then it is reclassified as a no-snow pixel.</li> </ul> <p>The July 05 image was removed from the animation due to a cloud/snow confusion. This type of error should be avoided with Sentinel-2 data thanks to an additional "high cloud" test (see http://tully.ups-tlse.fr/grizonnet/let-it-snow/blob/master/doc/tex/ATBD_CES-Neige.pdf).</p> <p>These data were featured in this blog post : Gascoin, S. "Monitoring the snow cover in ski resorts using Sentinel-2" (19-Sep-2016) http://www.cesbio.ups-tlse.fr/multitemp/?p=8676</p>
Supplementary material 3: List of tested and analyzed data sharing tools (non-exhaustive) from: Data sharing tools adopted by the European Biodiversity Observation Network Project - Research Ideas and Outcomes 2: e9390 (31 May 2016) https://doi.org/10.3897/rio.2.e9390
List of tested and analyzed data sharing tools (non-exhaustive)
Supplementary material 2: Definitions and Concepts from: Data sharing tools adopted by the European Biodiversity Observation Network Project - Research Ideas and Outcomes 2: e9390 (31 May 2016) https://doi.org/10.3897/rio.2.e9390
Definitions and concepts in the context of the main paper.
Supplementary material 1: List of selected tools. from: Data sharing tools adopted by the European Biodiversity Observation Network Project - Research Ideas and Outcomes 2: e9390 (31 May 2016) https://doi.org/10.3897/rio.2.e9390
List of selected tools.
Figure 7. from: Data sharing tools adopted by the European Biodiversity Observation Network Project - Research Ideas and Outcomes 2: e9390 (31 May 2016) https://doi.org/10.3897/rio.2.e9390
Figure 7. - Mobile app for sporadic observations reporting.
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.