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10,016
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10,016 results for “Observation”
Demo data and model weights for "Direct Observation of Atmospheric Turbulence with a Video-rate Wide-field Wavefront Sensor"
<p>Demo data and model weights for "Direct Observation of Atmospheric Turbulence with a Video-rate Wide-field Wavefront Sensor". For usage, please refer to https://github.com/freemercury/Widefield_wavefront_sensor.</p>
Dataset for the validation of the Delirium Observation Screening Scale in long-term care facilities in Flanders
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Data from: Environmental DNA metabarcoding reliably recovers arthropod interactions which are frequently observed by video recordings of flowers
<p>Environmental DNA (eDNA) metabarcoding promises to be a cost- and time-efficient monitoring tool to detect interactions of arthropods with plants. However, observation-based verification of the eDNA derived data is still required to confirm whether the arthropods indeed previously interacted with the plant. Here we conducted a comparative analysis of the performance of eDNA metabarcoding and video camera observations to detect arthropod communities associated with sunflowers (<em>Helianthus annuus</em>, L.). We compared the taxonomic composition, interaction type, and diversity by testing for an effect of arthropod interaction time and occupancy on successful taxon recovery by eDNA. We also tested if pre-washing of the flowers successfully removed eDNA deposition from before the video camera recording, thus enabling a reset of the community for standardized monitoring. We find that eDNA and video camera observations recovered distinct communities, with about a quarter of the arthropod families overlapping. However, the overlapping taxa comprised ~90% of the interactions observed by the video camera. Interestingly, eDNA metabarcoding recovered more unique families than the video cameras, but approx. two-third of those unique observations were rare species. The eDNA-derived families were biased towards plant sap-suckers, showing that such species may deposit more eDNA than e.g. transient pollinators. We also find that pre-washing of the flower heads did not suffice to remove all eDNA traces, suggesting that eDNA on plants may be more temporally stable than previously thought. Our work highlights the great potential of eDNA as a tool to detect plant-arthropod interactions, particularly for specialized and frequently interacting taxa.</p>
Results of water temperature measurements and observations of ice cover occurrence on the Ropa and Biala rivers
<p>The dataset contains the results of water temperature measurements and ice cover occurrence on two rivers - the Ropa and the Biala. The measurements were carried out on December 29, 2021 under a research grant funded by the National Science Center of Poland (grant number: 2020/39/O/ST10/00652).</p>
Dataset 2 "Aerosol optical properties within the atmospheric boundary layer predicted from ground-based observations compared to Raman lidar retrievals during RITA-2021"
<p>This dataset provides additional profiles for the manuscript titled "Aerosol optical properties within the atmospheric boundary layer predicted from ground-based observations compared to Raman lidar retrievals during RITA-2021". It is available for those who are interested.</p>
TCRBuilder2+ predictions of the Observed T-cell receptor Space (OTS)
<p>TCRBuilder2+ predictions of over 1.5 million TCR structures from the Observed T-cell receptor Space database. </p>
Deep soil nitrate observational synthesis data
<p>Obervational synthesis of deep (>2 m) soil nitrate data collected from the literature and used to model global deep nitrate stocks.</p>
The nociceptive withdrawal reflex during spinal analgesia in pigs undergoing veno-arterial extracorporeal membrane oxygenation: a prospective observational study.
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Collaborative High-Resolution Observation Datasets of an Eddy Using an Underwater Glider Network
<p>This matlab mat data provides data from 12 underwater gliders in the northern South China Sea in 2017.</p> <p>Please contact Haibo Tang at tanghb6@mail2.sysu.edu.cn for any questions. <br> <br>Wish you good luck!</p>
3D Coseismic Deformation of the 2023 Türkiye Mw7.8-7.5 Earthquake Doublet Deduced from High-rate GNSS Observations
<p>3D displacements of the 2023 Türkiye Mw7.8-7.5 earthquakes derived from high-rate GNSS data.</p> <p>This Zenodo repository contains 3D displacements for the paper "Coseismic Deformation and Kinematic Rupture Process of the 2023 Türkiye Mw7.8-7.5 Earthquake Doublet Deduced from High-rate GNSS Observations " by Dong et al. in Geophysical Journal International. If you use any of the data or models please cite it accordingly.</p> <p>For any questions or issues, email Zhihua Dong at <a href="mailto:dmelgarm@uoregon.edu">dongzhihua93@163.com</a>. </p>
Data for "Toward Robust Estimates of Net Ecosystem Exchanges in Mega-Countries using GOSAT and OCO-2 Observations"
<p>This dataset contains carbon fluxes for the 10 largest countries in the world (here EU27 is treated as a country) using GOSAT and OCO-2 observational constraints for 2017-2019.</p>
Supporting information for "Discerning TGF and leader current pulse in ASIM observation"
<p>Data files for the paper "Discerning TGF and leader current pulse in ASIM observation".</p>
Nitrous oxide observations in the Potomac River
<p>This dataset contains observations of nitrous oxide concentration, nitrous oxide flux, nitrogen isotopes, and associated environmental parameters in the Potomac River, a tributary of Chesapeake Bay.</p> <p>Please see the paper below for details. </p> <p>Tang, W., Talbott, J., Jones, T., & Ward, B. B. (2024). Variable contribution of wastewater treatment plant effluents to downstream nitrous oxide concentrations and emissions. <em>Biogeosciences</em>, <em>21</em>(14), 3239-3250. <a href="https://doi.org/10.5194/bg-21-3239-2024">https://doi.org/10.5194/bg-21-3239-2024</a> </p>
Enhancing Retrievals of Air–Sea Heat Fluxes from AMSR2 Microwave Observations Based on Deep Learning
<p><span>The primary generated products are </span><span>2m</span><span> air temperature (Ta)</span><span> and</span><span> specific humidity (Qa), as well as the resulting fluxes of sensible heat (SHF)</span><span> and </span><span>latent heat (LHF). The data records for Ta</span><span> </span><span>and Qa are generated from </span><span>sea surface temperature (T</span><span>s</span><span>), column water vapour</span><span> (WV),</span><span> </span><span>wind speed (WS)</span><span>, column cloud liquid water</span><span> (CLW) </span><span>and rain rate</span><span> (RR)</span><span> data from JAXA’s Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the Global Change Observation Mission 1st-Water (GCOM-W1)</span><span> </span><span>spacecraft</span><span>.</span><span> The </span><span>model</span><span> for determining Ta, Qa, and U10 is the Matrices-Points Fusion Network (MPFNet). The resulting SHF</span><span> and</span><span> LHF fluxes are calculated from these fields of Ta, Qa, </span><span>WS</span><span>, and </span><span>Ts</span><span> using the Coupled Ocean-Atmosphere Response Experiment (COARE) 3.</span><span>6</span><span> flux algorithm</span><span>. </span><span>The </span><span>daily </span><span>MPFNet dataset is stored in </span><span>“nc”</span><span> format on 0.25°</span><span> </span><span><span> </span>0.25° gridded maps and span from July 2012 to December 2023.</span></p>
Evaluating Cloud Properties at Scott Base: Comparing Ceilometer Observations with ERA5, JRA55, and MERRA2 Reanalyses Using an Instrument Simulator (Pre-review)
<p>Due to its remote location and extreme weather conditions, atmospheric measurements are rare in Antarctica. Partially due to this lack of observational constraints, large biases in the representation of clouds have been identified over Southern hemisphere high latitudes in various grenerations of the Coupled Model Intercomparison Project (CMIP) models, numerical weather prediction models and reanalyses. It has been shown in previous studies that ground-based remote sensing measurements of cloud across the region are critical for complementing satellite data sets due to the importance of boundary layer and low-level cloud processes. These processes are poorly sampled by satellite-based measurements which are typically obscured by overlying cloud cover or are prone to ground clutter. Here we provide a dataset which includes CL51 ceilometer observations of low clouds made during the period 14th February 2022 and 31st December 2023 at Scott Base, Antarctica (77.8 S, 166.7 E). Complemeted by ERA5, JRA55 and MERRA2 reanalyses output that has been processed using an instrument simulator. These datasets allow direct comparison between the reanalyses datasets and the ceilometer observations.</p> <p> </p>
Data for "Chiral topological light for detection of robust enantiosensitive observables"
<p><strong>Data for "Chiral topological light for detection of robust enantiosensitive observables"</strong></p> <p>This repository contains the data files and Jupyter notebook to reproduce the numerical results from the paper</p> <p><em>"Chiral topological light for detection of enantiosensitive observables"</em>, N. Mayer, D. Ayuso, P. Decleva, M. Khokhlova, E. Pisanty, M. Ivanov and O. Smirnova, Nature Photonics (2024), <a href="https://doi.org/10.1038/s41566-024-01499-8">doi:10.1038/s41566-024-01499-8</a>, <a href="https://arxiv.org/abs/2303.10932">arXiv:2303.10932</a></p> <p>as well as the results contained in its Supplementary Files. </p> <p>The Python code used to calculate the data files is available from the authors upon reasonable request. Please refer to the Methods section of the paper for a detailed description of the numerical approach behind the numerical simulations.</p> <p>Note that the figures in the paper are assembled in a separate software from the plots reproduced here, and that we include here only the results for the theoretical simulations of the molecular response.</p> <p>The repository contains the following files:</p> <ul> <li><em>atomic_units.py</em>: Python file containing useful definitions of quantities in atomic units.</li> <li><em>readme.txt</em>: file containing a detailed description of the files contained in files.zip</li> <li><em>Figures_CTL.ipynb</em>: Jupyter notebook to load the files in files.zip and plot the images of the paper.</li> <li><em>files.zip</em>: zip file containing the data files.</li> </ul> <p>The copyright of this collection rests with the authors (2024). It is made available under the Creative Commons Attribution-ShareAlike 4.0 (<a href="https://creativecommons.org/licenses/by-sa/4.0/">CC BY-SA 4.0</a>) license. For any academic use that results in a publication, please cite the main paper in addition to this deposit.</p>
Observation-constrained projections reveal longer-than-expected dry spells
<p>The dataset is a collection of INPUT and OUTPUT data participating in the study "Observation-constrained projections reveal longer-than-expected dry spells" by I.Y. Petrova, Diego G.M., Florent B., Markus G.D., Seung-Ki M., Yeon-Hee K., Margot B. (2024)<br><br>The data is used to reproduce the main Figures of the study using the Python package available from https://github.com/klawa/EC4CDD_CMIPmodels package: <u><a href="https://doi.org/10.5281/zenodo.5886608">https://doi.org/</a>10.5281/zenodo.10869605</u><br><br>The data is provided in netCDF and Python pickle formats, and is archived using tar.gz extension. </p>
Supplementary File 8; Dot plots summarising the total frequencies of direct observations, tracks, spoor, and other signs of all wild animals detected in radial and transect surveys over the course of the study:
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Supporting material to "Effect of magnetospheric conditions on the morphology of Jupiter's UV main auroral emission, as observed by Juno-UVS"
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Dataset for: Factors associated with self-reported diagnosed asthma in urban and rural Malawi: observations from a population-based study of 3 non-communicable diseases
<p>This dataset was used in analyses reported on the in paper with the same title, published in PLOS Global Health.</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.