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10,016 results for “Observation”
Observation of mutual extinction and transparency in light scattering
<p>The basic publication is:<br> A. Rates, A. Lagendijk, O. Akdemir, A.P. Mosk, and W.L. Vos, "Observation of mutual extinction and transparency in light scattering", Phys. Rev. A <strong>104</strong>, 043515. DOI: 10.1103/PhysRevA.104.043515.<br> <br> We have uploaded to the Zenodo database all data enabling everyone to reuse our data, and to reproduce all the figures of our paper.</p> <p>The upload contains the file "Metadata.txt" explaining the content of the upload.</p>
Triple-frequency (Ka-, W- and G-band) radar observations of a light precipitation event
<p>Triple-frequency (Ka-, W- and G-band) radar observations of a light precipitation event. Data is either in raw IQ form or processed spectral data.</p>
Reconciling the Infrared Catastrophe and Observations of SN 2011fe
<p>W7 at 300 and 1000d, and N100 at 1000d. Distance 10 Mpc assumed.</p>
Data from: Process-based modelling of nonharmonic internal tides using adjoint, statistical, and stochastic approaches. Part I: statistical model and analysis of observational data
<p>Meta data updated after publication.</p> <p> </p>
Vela Pulsar Observation Files MJD 57985
<p>Files:</p> <ul> <li>579859820.dat (PRESTO time series format)</li> <li>579859820.inf (PRESTO time series format header)</li> <li>579859820.png (image of result of PRESTO 'prepfold' processing)</li> <li>579859820.ps (postscript result of PRESTO 'prepfold' processing)</li> <li>579859820.tim (SIGPROC time series format)</li> <li>579859820.prof (pulse profile output file of SIGPROC 'fold' processing)</li> <li>579859820.prof.png (image of pulse profile output file of SIGPROC 'fold' processing displayed in a spreadsheet)</li> <li>579859820.txt (information for processing command-line parameters)</li> </ul> <p>Observation Parameters</p> <ul> <li>Vela pulsar nominal topocentric period = 0.0893969312 seconds.</li> <li>Observation Start Time = MJD 57985.9820</li> <li>Duration = 120 minutes</li> <li>Frequency = 436 MHz</li> <li>Bandwidth = 2.4 MHz</li> <li>Antenna: 42-element circularly-polarised crossed Yagi (nominal gain 19 dBi)</li> <li>Location: 33.567 S, 150.745 E (Hawkesbury Radio Astronomy Observatory)</li> </ul>
NAFLD and diarrhea: a prospective observational study
<p>This is the dataset obtained in the prospective study of the incidence of bile acid diarrhoea in patients with non-alcoholic fatty liver disease NAFLD) conducted at Imperial College London in 2015.</p>
Helios fast solar wind stream observation times
<p>This record contains the dates, times and observing probe of fast solar wind streams observed by the two Helios spacecraft, used in a study of the radial variation of alpha particles in the solar wind</p> <p>stream_times.csv contains following columns:</p> <p>Start: Start time of each observed structure (UT)<br> End : End time of each observed structure (UT)<br> Probe : Observing probe of each structure (1 for Helios 1, 2 for Helios 2)</p>
China Air Quality Observation
<p>20171007-20171010 China Air Quality Observation uesd in the sutdy“Impact of aerosols on convective system over the North China Plain: a numerical case study in autumn”</p>
Hong Kong Jellyfish Project 2021 Website and iNaturalist observations
<p>Jellyfish are important organisms within marine ecosystems, although the extent of their occurrence and diversity is likely underestimated, particularly for biodiversity-rich locations such as the Indo-Pacific. The potential for citizen science to monitor phenomena associated with these Cnidarians over large spatial scales has been recognized in an increasingly broad array of locations, including the Mediterranean, South Africa, and the UK. Here, we were interested if such an approach could be used to understand more about their presence, seasonal occurrence and distribution in Hong Kong. To address these areas, the Hong Kong Jellyfish Project was launched in early 2021 with citizen scientists invited to submit photographs and simple information (date, time, location, number of jellyfish) to a project website or a collection project on the online citizen science biodiversity platform iNaturalist . For some of these observations, jellyfish were sampled and DNA analysis conducted to confirm morphologically-based identification. During 2021, over 380 observations of jellyfish were submitted through the website and iNaturalist project, with 19 species recorded as present. The species most frequently recorded were Cyanea nozakii and Rhopilema hispidum , and two new species records of Thysanostoma loriferum and Netrostoma setouchianum were documented for Hong Kong . There was a seasonal trend in observations, with most jellyfish seen in March-May. Finally, there was a broad geographical distribution of observations throughout Hong Kong’s coastal waters, with more observations made in the south/east. Together, these observations gathered by citizen scientists indicate a broad distribution of jellyfish – and the occurrence of previously undocumented species – in Hong Kong’s waters. </p>
September 2017 Phase Space Density Observations - T89
<p>Archived data for the manuscript “Differentiating Between Simultaneous Loss Drivers in Earth’s Outer Radiation Belt: Multi-Dimensional Phase Space Density Analysis” Staples et al., submitted to Geophysical Research Letters 2022.</p> <p><br> These files contain multi-mission phase space density measurements including, Van Allen Probes, GOES 13, 14, 15, GPS, MMS, and THEMIS, computed in adiabatic coordinates. All data is from September 2017. For detailed description of the method used in the computation of this data, see section 2.1 of the submitted manuscript.<br> <br> The THEMIS, Van Allen Probe, MMS, and GOES data used in computations is publicly available via http://cdaweb.gsfc.nasa.gov <br> The GPS data is available via https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/</p> <p>FILES:</p> <p>'psd_intp_T89_20170901-20170930_allsc.cdf'</p> <p>'psd_intp_T89_20170901-20170930_rbsp-b.cdf'</p> <p><br> DATA OWNER: Adam Kellerman<br> DATA PREPERATION: Frances Staples</p> <p><br> CONTACT:<br> Adam Kellerman: akellerman@epss.ucla.edu<br> Frances Staples: frances.staples@ucl.ac.uk</p>
Biophysical larval dispersal models of observed bonefish (Albula vulpes) spawning events in Abaco, The Bahamas: An assessment of population connectivity and ocean dynamics
<p>Biophysical models are a powerful tool for assessing population connectivity of marine organisms that broadcast spawn. <em>Albula</em> <em>vulpes</em> is a species of bonefish that is an economically and culturally important sportfish found throughout the Caribbean and that exhibits genetic connectivity among geographically distant populations. We created ontogenetically relevant biophysical models for bonefish larval dispersal based upon multiple observed spawning events in Abaco, The Bahamas in 2013, 2018, and 2019. Biological parameterizations were informed through active acoustic telemetry, CTD casts, captive larval rearing, and field collections of related albulids and anguillids. Ocean conditions were derived from the Regional Navy Coastal Ocean Model American Seas dataset. Each spawning event was simulated 100 times using the program Ichthyop. Ten thousand particles were released at observed and putative spawning locations and were allowed to disperse for the full 71-day pelagic larval duration for <em>A</em>. <em>vulpes</em>. Settlement densities in defined settlement zones were assessed along with interactions with oceanographic features. The prevailing Northern dispersal paradigm exhibited strong connectivity with Grand Bahama, the Berry Islands, Andros, and self-recruitment to lower and upper Abaco. Ephemeral gyres and flow direction within Northwest and Northeast Providence Channels were shown to have important roles in larval retention to the Bahamian Archipelago. Larval development environments for larvae settling upon different islands showed few differences and dispersal was closely associated with the thermocline. Settlement patterns informed the suggestion for expansion of conservation parks in Grand Bahama, Abaco, and Andros, and the creation of a park in Eleuthera and the Berry Islands to protect fisheries. Further observation of spawning events and the creation of biophysical models will help to maximize protection for bonefish spawning locations and nursery habitat, and may help to predict year-class strength for bonefish stocks throughout the Greater Caribbean.</p>
Data for figures in "Observation of resonances in the transition state region of the F + NH3 reaction using anion photoelectron spectroscopy"
<p>Data for all figures in "Observation of resonances in the transition state region of the F + NH3 reaction using anion photoelectron spectroscopy" and the accompanying supporting information, a manuscript accepted by Nature Chemistry.</p>
Observations of M31 by DESI survey
<p>This is collection of data associated with the paper "DESI Observations of the Andromeda Galaxy: Revealing the Immigration History of our Nearest Neighbor” by Dey, Najita, Koposov, et al. 2022</p> <p>The collection consists of 4 files: </p> <ul> <li>DESI_M31_MEASUREMENT_CATALOG.fits which contains measurements by DESI of the M31 objects (as described in the paper)</li> <li>FigureFiles.zip contains information necessary to reproduce the figures in the paper</li> <li>simulation.zip contains the snapshots of the numerical N-body simulation of a disrupting satellite presented in the paper</li> <li>TargetFiles.zip contains information on original target lists of objects of different types prepared for DESI observations.</li> </ul>
A polar insect's tale: observations on the life cycle of Parochlus steinenii, the only winged midge native to Antarctica
<p><span>Antarctica and the sub-Antarctic islands are considered natural laboratories to study and understand the influence of environmental variable and patterns of variation therein on the biota, including the influences of climate change. The Antarctic terrestrial fauna consists only of small invertebrates, with just two native species of holometabolous insects, Parochlus steinenii and Belgica antarctica, and two established non-native species, Eretmoptera murphyi and Trichocera maculipennis. Studies of the life history, phenology and stress tolerances of insects are critical to better understand adaptations to natural environmental stress and the ecological consequences of recent and ongoing climate change. In this context, we characterized the habitat preferences, life cycle and phenology of P. steinenii, the winged Antarctic midge, in a lake on King George Island, South Shetland Islands, maritime Antarctic. Based on the data obtained, we hypothesize that P. steinenii has a multi-year life cycle that may span as much as four years. The species is very restricted in terms of its preferred microhabitat distribution, being highly abundant only at shallow depths close to the edge of the lakes in which it is found. A combination of further field and laboratory studies are now required to assess how the length of P. steinenii life cycle is influenced by the scale of temperature variation typically experienced in its natural habitat, and as predicted under different climate change scenarios, as well investigating the ability and timing of larval movement to take advantage of the conditions of specific microhabitats at different times of year.</span></p>
Smart5Grid solutions for enhanced TSO grid observability and manageability in massive RES penetration environment
<p>This work focuses on two Use Cases (UCs) of the Smart5Grid project (UC3 and UC4) and reports the raw data of their corresponding Network Applications: Run Time Energy Production Monitoring Predictive Maintenance (Enabler) for UC3 as well as <span><span>virtual</span> <span>Phasor Data Concentrator (vPDC), </span></span><span>Wi</span>de Area Monitoring (WAM), and Advisory (Enabler) for UC4. These Network Applications are <span>developed by means of Grid Protection Alliance </span>(GPA) <span>open source software and </span>GSF open source library. Another two GPA open source projects used for both UCs development are openPDC and openHistorian. Microsoft Visual Studio 2022 is the coding environment while C# <span>и </span>JavaScript are the programming languages engaged in the Use Cases 3&4 NetApp development process. Correspondingly, the services for both UCs are placed in Docker images that are used in Helm charts<span>. </span>These Helm charts are used to install the services in Kubernetes cluster, which runs Docker containers of the services in its cluster. Detailed video demonstrations of both use cases' services are referred to in the results section of the associated manuscript.</p> <p>Two reproducible and reusable raw data timeseries are shared: (1) realtime photovoltaic production monitoring using the UC3 NetApps (demo of distributed renewable resources monitoring), and (2) realtime virtual Phasor Data Concentrator as UC4 demonstrator(of Wide Area Monitoring of an interconnected power system via 400 kV tie line between Bulgaria and Greece). Both demostrators run on an innovative Smart5Grid Open Experimentation Platform building on 5G PPP and detailed in the associated article. </p>
Archive of the microtremor data observed at rock/stiff-soil sites and the analysis results
<p>This archive includes the microtremor data observed at 15 rock/stiff-soil sites and the analysis results, which were fully described in a paper "Spatial autocorrelation method for a simple microtremor array survey at rock/stiff-soil sites" by Ikuo Cho (2023, Geophysical Journal International, in press).</p>
Surge-induced Crevasse dynamics of Monacobreen Glacier, Svalbard, through SAR observations and subglacial flow estimations
<p>This repository contains the datasets of glacial surface velocity, subsurface velocities, and the basal shear stress published in the paper 'Surge-induced Crevasse dynamics of Monacobreen Glacier, Svalbard, through SAR observations and subglacial flow estimations' in AGU Earth and Space Sciences. The detailed methodological description along with the computational methods have been discussed in detail in the article.</p>
GNSS-A data observed in SAGA site in SGO-A using UAV (November 2022)
<p>Contains the GNSS-A data obtained by UAV at SAGA site in SGO-A on November 2022.</p> <p>Initial datasets are stored in the following directories:<br> -[initcfg]: contains initial site-parameter files<br> -[obsdata]: contains initial acoustic observation files</p> <p>Datasets after array determination are stored in the following directories:<br> -[single-default]: contains the results of preprocessing (non-rigid-array analysis)<br> -[cfgfix-default]: contains initial site-parameter files for rigid-array analysis<br> -[fix-abic]: contains the results of preprocessing (rigid-array analysis)</p> <p>These data can be processed with <a href="https://doi.org/10.5281/zenodo.4522027">GARPOS</a>.</p> <p><a href="https://www1.kaiho.mlit.go.jp/KOHO/chikaku/kaitei/sgs/datalist_e.html">SGO-A</a> has been operated by the Japan Coast Guard.</p>
Dataset for "Spaceborne observations of lightning NO2 in the Arctic"
<p>Core data used in <a href="https://github.com/zxdawn/S5P-LNO2-Notebook">S5P-LNO2-Notebook</a> repository for <a href="https://doi.org/10.1021/acs.est.2c07988">Zhang et al. (2023)</a>.</p> <p>For the full S5P LNO2 product (June-August, 2019-2021), please check the Arctic lightning NO2 product (<a href="https://doi.org/10.5281/zenodo.7547817">2019</a>, <a href="https://doi.org/10.5281/zenodo.7547819">2020</a>, <a href="https://doi.org/10.5281/zenodo.7547825">2021</a>).</p> <p><strong>Reference</strong></p> <p>Zhang et al., <strong>Spaceborne observations of lightning NO<sub>2</sub> in the Arctic</strong>, <em>Environ. Sci. Technol</em>.</p> <p><strong>Date files</strong></p> <ul> <li> <p>CAMS</p> <ul> <li> <p>CAMS anthropogenic, ship, and soil NOx emissions (2018)</p> </li> </ul> </li> <li> <p>clean lightning</p> <ul> <li> <p>Two clean lightning cases of S5P LNO2 product.</p> <p>Because it is ~1G per file, I just uploaded two files.</p> </li> </ul> </li> <li> <p>era5</p> <ul> <li> <p>Monthly CAPE (2019-2021 summer)</p> </li> </ul> </li> <li> <p>GFAS</p> <ul> <li> <p>GFAS wildfire NOx emission (2018-2021)</p> </li> </ul> </li> <li> <p>gld360</p> <ul> <li> <p>See <a href="https://doi.org/10.5281/zenodo.7528016">10.5281/zenodo.7528016</a> (need request)</p> </li> </ul> </li> <li> <p>lno2</p> <ul> <li> <p>Lightning NO2 emission product</p> <ul> <li> <p>LNO2_emiss.nc</p> </li> <li> <p>LNO2_emiss_area.nc</p> </li> </ul> </li> <li> <p>LNOx profile of Luo et al. 2016</p> </li> <li> <p>Gridded 0.1 x 0.1 LNO2 product</p> <ul> <li> <p>S5P_LNO2_grid.nc</p> <p>vars: lno2, lno2_max, lno2_sum, lightning, and lightning_500hpa</p> </li> </ul> <ul> <li> <p>S5P_LNO2_grid_product.nc</p> <p>vars: no2, lno2, lightning_counts, and cloud_pressure_crb</p> </li> </ul> </li> <li> <p>LNO2 lifetime products</p> <ul> <li> <p>S5P_LNO2_lifetime.csv</p> </li> <li> <p>S5P_LNO2_lifetime.nc (without lightning data, need request for original data)</p> </li> </ul> </li> <li> <p>LNO2 production products</p> <ul> <li> <p>S5P_LNO2_production.csv</p> </li> <li> <p>S5P_LNO2_production.nc (without lightning data, need request for original data)</p> </li> <li> <p>S5P_LNO2_production_**.csv (sensitivity tests)</p> </li> </ul> </li> <li> <p>Lightning within TROPOMI swath</p> <ul> <li> <p>swath_lightning_**.csv (need request)</p> </li> </ul> </li> </ul> </li> <li> <p>merra2</p> <ul> <li> <p>MERRA2 AOD netcdf files</p> </li> </ul> </li> <li> <p>otd</p> <ul> <li> <p>OTD low resolution and high resolution monthly data</p> </li> </ul> </li> <li> <p>tropomi</p> <ul> <li> <p>Web scrapied S5P-PAL TROPOMI NO2 L2 swath shapes</p> </li> </ul> </li> <li> <p>tropomi_regrid_combine</p> <ul> <li> <p>Regridded summertime TROPOMI NO2 L2 data</p> </li> </ul> </li> <li> <p>viirs</p> <ul> <li> <p>VIIRS fire archive csv data</p> </li> </ul> </li> </ul>
Constraining Bedrock Groundwater Residence Times in a Mountain System with Environmental Tracer Observations and Bayesian Uncertainty Quantification: Modeling and Data Package
<p>Here we present field observations of dissolved noble gases (He, Ne, Ar, Kr, and Xe), Chloroflourcarbons (CFCs), Sulfurhexaflouride (SF6), and tritium (3H) sampled from the PLM1, PLM6, and PLM7 wells in the East River Colorado (USA) sampled in May, 2021. This observation dataset, along with the presented python modeling scripts to interpret the data, can aide in quantifying groundwater residence times and recharge conditions. The README files describes the directories and scripts.</p>
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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.