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10,016 results for “Observation”
Helios number density structure observation times
<p>This record contains the dates, times and observing probe of number density structures observed by the two Helios spacecraft. Only structures observed at heliocentric distances less than 0.5 AU are listed.</p> <p>structure_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> <p>This is a supplement to "<a href="https://doi.org/10.1051/0004-6361/201732567">Number density structures in the inner heliosphere</a>", published in Astronomy & Astrophysics.</p>
Observed VLF/LF data for the 2017 Great American Solar Eclipse
<p>Observed VLF/LF data for the 2017 Great American Solar Eclipse</p>
EMAC-L90MA-SD output used in "Stratospheric Injection of Brominated Very Short-Lived Substances: Aircraft Observations in the Western Pacific and Representation in Global Models"
<p>Output of halocarbons, inorganic bromine, and tropopause pressure from EMAC-L90MA-SD used in:</p> <p>Wales et al., Stratospheric Injection of Brominated Very Short-Lived Substances: Aircraft Observations in the Western Pacific and Representation in Global Models." <em>Journal of Geophysical Research: Atmospheres,</em> (2018).</p> <p>The EMAC-L90MA-SD simulation uses ERA-Interim meteorology and was prepared according to: </p> <p>Jöckel, P., Tost, H., Pozzer, A., Kunze, M., Kirner, O., Brenninkmeijer, C. A. M., Brinkop, S., Cai, D. S., Dyroff, C., Eckstein, J., Frank, F., Garny, H., Gottschaldt, K.-D., Graf, P., Grewe, V., Kerkweg, A., Kern, B., Matthes, S., Mertens, M., Meul, S., Neumaier, M., Nützel, M., Oberländer-Hayn, S., Ruhnke, R., Runde, T., Sander, R., Scharffe, D., & Zahn, A.: Earth System Chemistry integrated Modelling (ESCiMo) with the Modular Earth Submodel System (MESSy) version 2.51, <em>Geoscientific Model Development</em>, 9, 1153–1200, doi: 10.5194/gmd-9-1153-2016, URL <a href="http://www.geosci-model-dev.net/9/1153/2016/">http://www.geosci-model-dev.net/9/1153/2016/</a> (2016)</p> <p>For further details, please contact Patrick Joeckel (Patrick.Joeckel@dlr.de) and Phoebe Graf (Phoebe.Graf@dlr.de)</p>
Wideband VLF data observed in New Zealand during the period 07-08 September 2017
<p>Wideband VLF data observed in New Zealand during the period 07-08 September 2017.</p>
Winds and temperature observations from Munch Mast in Bjørvika (Oslo, Norway)
<p>Measurements made from the Munch Mast in Bjørvika (Oslo, Norway)</p> <p>Naming convention for the input filename:</p> <p>YYMMDDHH</p> <p>where</p> <p>- YY is the year (two last digits only)<br> - MM is the month<br> - DD is the day<br> - HH is the time (24 hours time)</p> <p>For instance:<br> 18030102.TXT</p> <p>corresponds to data from the 1st March 2018 at 2am.</p> <p>Sensors have been placed at different locations and different heights:</p> <p>Temperature:<br> 12BE --> 2m<br> C67D --> 10m<br> 997B --> 30m<br> DB6E --> 50m<br> 27B0 --> 65m<br> Bf8E --> 75m</p> <p>Wind:<br> a --> 10m<br> b --> 30m<br> c --> 75m (to be removed because it is wrong).<br> </p> <p><br> a wind_speed (m/s) wind_direction air_temperature (C) average_meridional_wind_speed average_zonal_wind_speed variable</p> <p>variable: Maximum gust wind in m/s since the last interrogation</p> <p>wind_direction: in degrees relative to a northward heading</p> <p> with the sign between each variables (such as a+1.4 or a-1.4)</p> <p>All data are raw data and to be usable the temperature needs to be corrected (to be retrieved to the raw value of the temperature):</p> <p>10m --> -6e-06T + 0.0623<br> 30m --> -0.0072T + 0.1849<br> 50m --> 0.0074T -0.2795<br> 65m --> 0.0037T -0.0429<br> 75m --> 0.0005T + 0.0609</p> <p>Tcorrected = T - Tcorrection</p>
Plots of Observations of CasA from LOFAR Station IE613 HBA against Frequency, Altitude and Azimuth
<p>A series of plots of the variation of linear polarisation channels and Stokes parameters of an observation of CasA on the 16th-17th March 2018 against frequency and local horizontal coordinates.</p>
Sanderlings (Calidris alba) of two different age classes at the moment of individual colour-marking at four non-breeding sites that were or were not observed during migration following the capture.
<p>The data file contains data of Sanderlings (<em>Calidris alba</em>) of two different age classes at the moment of capture and individual colour-marking at one of four wintering areas that were or were not observed during migration following the capture. Each individual is indicated with a unique number in column “BirdID”. The column “country” indicates which of the four wintering areas (as depicted in Fig. 1 in the manuscript), with GB indicating England, PT indicating Portugal, MR indicating Mauritania and GH indicating Ghana. The “age” of each bird was either juvenile (<1 year old) or adult (>1 year old). Whether an individual was observed during migration, i.e. at least 2 latitudinal degrees north of its average winter location between 15 March – 15 October, in the migration period following capture is indicated with a 0 (not observed) or 1 (observed) in the column “observed”. Further details can be found in the methods section in the manuscript.</p>
Where and how our brain represents the temporal structure of observed action
<p>Dataset includes resting state function and structural scans used in the paper with the same title.</p>
Leaf wound induced ultraweak photon emission is suppressed under anoxic stress: observations of Spathiphyllum under aerobic and anaerobic conditions using novel in vivo methodology
<p>Dataset for paper: ABSTRACT: </p> <p>Plants have evolved a variety of means to energetically sense and respond to abiotic and biotic environmental stress. Two typical photochemical signaling responses involve the emission of volatile organic compounds and light. The emission of certain leaf wound volatiles and light are mutually dependent upon oxygen which is subsequently required for the wound-induced lipoxygenase reactions that trigger the formation of fatty acids and hydroperoxides; ultimately leading to photon emission by chlorophyll molecules. A low noise photomultiplier with sensitivity in the visible spectrum (300 – 720 nm) is used to continuously measure long duration ultraweak photon emission of dark-adapting whole <em>Spathiphyllum</em>leaves (<em>in vivo</em>). Leaves were mechanically wounded after two hours of dark adaptation in aerobic and anaerobic conditions. It was found that (1) nitrogen incubation did not affect the pre-wound basal photocounts; (2) wound induced leaf biophoton emission was significantly suppressed when under anoxic stress; and (3) the aerobic wound induced emission spectra observed was > 650 nm, implicating chlorophyll as the likely emitter. Limitations of the PMT photocathode’s radiant sensitivity, however, prevented accurate analysis from 700 – 720 nm. Further examination of leaf wounding profile photon counts revealed that the pre-wounding basal state (aerobic and anoxic), the anoxic wounding state, and the post-wounding aerobic state statistics all approximate a Poisson distribution. It is additionally observed that aerobic wounding induces two distinct exponential decay events. These observations contribute to the body of plant wound-induced luminescence research and provide a novel methodology to measure this phenomenon <em>in vivo</em>.</p>
Dataset used in "Bathymetry observations of inland water bodies using a tethered single-beam sonar controlled by an Unmanned Aerial Vehicle". https://doi.org/10.5194/hess-2017-625.
<p>Dataset used in</p> <p>Bathymetry observations of inland water bodies using a tethered single-beam sonar controlled by an Unmanned Aerial Vehicle</p> <p>Filippo Bandini<sup>1</sup>, Daniel Olesen<sup>2</sup>, Jakob Jakobsen<sup>2</sup>, Cecile Marie Margaretha Kittel<sup>1</sup>, Sheng Wang<sup>1</sup>, Monica Garcia<sup>1</sup>, and Peter Bauer-Gottwein<sup>1</sup></p> <ul> <li><sup>1</sup>Department of Environmental Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark</li> <li><sup>2</sup>National Space Institute, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark</li> </ul> <p><strong>Hydrol. Earth Syst. Sci.</strong></p> <p><strong>https://doi.org/10.5194/hess-2017-625</strong></p> <p> </p> <p>The dataset contains</p> <p>-data/observations that were used to obtain the figures shown in the paper. Data have .mat extension (Binary data container format used by MATLAB; may include arrays, variables, functions, and other types of data;)</p> <p>-scripts to compute statistics and plot data, with .m extension (contain MATLAB code, either in the form of a script or a function)</p> <p>-shape files (shp — shape format; the feature geometry itself, .shx — shape index format, .dbf — attribute format, .prj — projection format; .sbn and .sbx — spatial index of the features, .cpg — used to specify the code page, .<em>qpj</em> QGIS projection file) or raster files (.geotiff) to reproduce the map contents reported in the referenced paper.</p> <p>The repository is subdivided into directories containing the dataset shown in the paper. These directories are named with the figures and/or tables numbers of the referenced paper. </p>
Observations of microscale tensile fatigue damage mechanisms of composite materials for wind turbine blades
<p>A scout and zoom dataset including video-versions of the figures behind the following paper to where the references should be given:</p> <p>Mikkelsen, L.P. Observations of microscale tensile fatigue damage mechanisms of composite materials for wind turbine blades, IOP Conf. Series: Materials Science and Engineering <strong>380</strong> (2018) 012006 , http://iopscience.iop.org/article/10.1088/1757-899X/388/1/012006.</p> <p>The SFoV data-set is saved as both a 3D and a 2D (zipped) tiff stack.</p>
Sample ACC Data Set for LOFAR Station IE613 LBA whole sky observation
<p>This is a large sample of data from Station IE613 suitable for use with <a href="https://github.com/creaneroDIAS/beamModelTester">beamModelTester</a> and <a href="https://github.com/2baOrNot2ba/iLiSA">iLiSA</a>. To use with these systems, transfer it to a directory of the form :</p> <p><em>{STN_ID}_YYYYMMDD_HHMMSS_rcu{RCU_MODE}<em>dur{DURATION}</em>{SOURCE}_acc</em><br> e.g. IE613_20180406_091321_rcu3_dur85635_CasA_acc</p>
A dataset of completeness of radiosonde humidity observations based on the IGRA
<p>This dataset describes the completeness of radiosonde humidity observations, from the early times until the end of 2016, based on the sounding data of the Integrated Global Radiosonde Archive (IGRA) Version 2 released by the NOAA's National Centers for Environmental Information. The IGRA stations for which we have radiosonde data on at least 5% of the annual soundings (radiosonde and pilot balloon observations) for at least one year were evaluated for every year reported in their periods of record according to specified parameters regarding humidity data in the form of either relative humidity or dewpoint-depression.</p> <p>The dataset is divided in three components: 1) Statistical metadata describing humidity completeness on a yearly basis for each station; 2) Metadata describing humidity completeness in individual observations from the same stations; 3) List of the 1723 stations represented in the whole dataset, including their geographic coordinates, along with metadata providing information on the observing periods for humidity and the corresponding amounts of observations. The accompanying Readme file describes the data format and file contents.</p> <p> </p>
Aggregated frequencies of transcription initiations observed in FANTOM5 CAGE data on GRCh38, including alignments with low mapping qualities
<p><strong>Overview</strong></p> <p>Aligned reads of the FANTOM5 CAGE data have been used after filtering (ones with mapping quality less than 20 or percent identity less than 85% were discarded) for general purpose, resulting in the data set consisting of only the reads aligned with confidence. The filtering process made possible to interpret the data without ambiguity, however it also limited interpretation of paralogous or duplicated regions within the genome. Here all of the 5'-ends of the CAGE read alignments, including the ones with low mapping quality, were counted. The counts in the individual profiles were aggregated and summed up. </p> <p> </p> <p><strong>Special usage note</strong></p> <p>As noted above, this data derived from the alignments with low mapping qualities, as well as the ones with high mapping qualities. The result has to be examined very carefully: observations on the genome does not support transcription initiation with confidence, and even absence of such observation does not support silence of transcription with confidence. For example, file size on the forward strand is substantially larger than the one on the reverse strand, which is likely caused by an arbitrary preference of the alignment process. It does not mean transcription happens more frequently on the forward strand. Interpretation has to be made always in comparison with the standard data (BED files under http://fantom.gsc.riken.jp/5/datafiles/reprocessed/hg38_v4/basic/ or bigWig files under http://fantom.gsc.riken.jp/5/datahub/hg38/reads/).</p> <p> </p> <p><strong>Data files</strong></p> <p>The resulting data files are formatted as bigWig (https://genome.ucsc.edu/FAQ/FAQformat.html#format6.1). '*.fwd.bw' and '*.rev.bw' represent forward and reverse strand on the genome, respectively. </p> <p> </p> <p><strong>Methods</strong></p> <p>The BAM files under http://fantom.gsc.riken.jp/5/datafiles/reprocessed/hg38_v4/basic/ were subjected to 5'-end counting by bedtools v2.27.1 (https://github.com/arq5x/bedtools2), followed by conversion into bigWig with jksrc v357 (http://hgdownload.cse.ucsc.edu/admin/).</p> <p> </p>
Large uptake of atmospheric OCS observed at a moist old growth forest: Controls and implications for carbon cycle applications
<p>This repository contains all data for the manuscript by Rastogi et al., titled "<strong>Large uptake of atmospheric OCS observed at a moist old growth forest: Controls and implications for carbon cycle applications</strong>". This manuscript has been accepted for publication in the Journal of Geophysical Research: Biogeosciences</p> <p> </p>
Observations of groundwater fluctuations and surface moisture content on a medium-grained, planar beach (Sand Engine, the Netherlands)
<p>These data are groundwater and beach surface moisture values collected during the MegaPex campaign between October 11 and 20, 2014 at the Sand Engine, The Hague, the Netherlands by MSc students and staff of the Coastal Research Group at Utrecht University, the Netherlands. The data were obtained at 8 locations in a cross-shore array on the intertidal and upper beach. During the measurements the beach was planar (1:30) and the median grain size was 0.365 mm. The data are supplemented with bed profiles along the instrument array. For further information and meta-data, please consult the readme.txt and the header of the individual text files in the zip-file.</p>
EOMORES earth observation and in situ data of water quality in lakes and coastal areas - year 1
<p>EOMORES is a European innovation project aiming to develop commercial services for monitoring the quality of inland and coastal water bodies, using data from Earth Observation (EO) satellites and in situ sensors to measure, model and forecast water quality parameters.</p> <p>The current data set is a sample of the data generated within the first project year (2017), and consists of Earth Observation (EO) data and in situ data from lakes and coastal areas. For full data sets, please contact the respective contact point listed for each area.<br> Data sets of the second (2018) and third (2019) year of EOMORES will also be submitted.</p> <p>The following is included:<br> - Estonia lakes and coast: in situ data 2017<br> - Finland: links to repositories of EO data<br> - Italy Trasimeno: sample of EO data 2017<br> - Lithuania Curonian Lagoon: sample of EO data 2017<br> - Netherlands Lake Markermeer: sample of EO data 2017<br> - Netherlands Lake Paterswoldsemeer: EO data 2015, 2016, 2017<br> - UK Scotland: in situ data Loch Leven and Loch Lomond 2017<br> - UK WCO Sentinel2A match ups: Western Channel Observatory match ups with Sentinel-2 satellite 2016, 2017</p> <p>http://eomores-h2020.eu</p>
Observing substructure in circumstellar discs around massive young stellar objects
<p>Synthetic dust continuum and molecular line Atacama Large Millimetre Array (ALMA) observations of massive, self-gravitating disc models surrounding massive young stellar objects are presented here. Semi-analytic models of self-gravitating discs with spiral density waves and clumps/fragments are combined with radiative transfer models, and synthetic observations are produced using CASA software. Models presented here have different disc masses, distances, inclinations, thermal structures, dust distributions, number and orientation of spirals and fragments.<br> <br> Data is in the FITS format, with filenames starting either with 'line' (synthetic molecular line datacube) or 'cont' (synthetic continuum images), and each filename contains the model ID. Tables of model IDs and model parameters are given in files models_table_spiral.dat and models_table_spiral_fragments.dat for models without and with fragments, respectively. Starting from a fiducial disc model, model parameters were varied one by one, with the exception of disc inclination which is separately set in each model.<br> <br> For details about the model parameters, detailed presentation of methods, proposed substructure-enhancing filtering methods, discussion and predictions for the upcoming ALMA observations, see Jankovic et al. 2018 (accepted for publication in MNRAS, arxiv.org/abs/1810.11398).</p> <p> </p>
The TRIple-frequency and Polarimetric radar Experiment for improving process observation of winter precipitation dataset
<p>The combined TRIple-frequency and Polarimetric radar Experiment for improving process observation of winter precipitation (TRIPEx) was a joint field experiment of the University of Cologne, the University of Bonn, the Karlsruhe Institute of Technology (KIT), and the Research Center Jülich. TRIPEx took place at the Jülich Observatory for Cloud Evolution (JOYCE) from 11 November 2015 until 04 January 2016. During this experiment, the X-, Ka- and W-band ground-based Doppler radars were used vertically pointing to observe the clouds. Here we provide the level 2 of the dataset collected during this campaign. Several step processing were applied to minimize the radar offset and attenuation. In addition, we provide the attenuation correction and the quality flags for each processing steps to allow the user to retrieve the data without our correction. The raw and the level 1 of the dataset are available for the users on request from the corresponding author.<br> </p>
Mechanisms for a record-breaking rainfall in the coastal metropolitan city of Guangzhou, China: observation analysis and nested very-large-eddy simulation with the WRF Model
<p>A video shows the processes of a record-breaking rainfall in the coastal metropolitan city of Guangzhou, China simulated by WRF nested very-large-eddy simulation.</p>
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.