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10,016 results for “Observation”
Complementary observations aid identification of the mountain rain-snow transition elevation
<p>If data have a time stamp, all data are in UTC</p> <p>Includes:</p> <ul> <li>precipitation gauge [meters] data from California Data Exchange (CDEC)</li> <li>SNOTEL data (soil moisture [%], snow water equivalent [meters])</li> <li>snow depth [meters] data from snow pillow sites from CDEC</li> <li>snow water equivalent [meters] from snow pillow sites from CDEC</li> <li>temperature [degrees C] data from snow pillow sites from CDEC</li> <li>FMCW radar freezing level [km above the surface] data from NOAA</li> <li>MODSCAG remote sensing data [rgb, grain size, snow covered area, zenith angle] from JPL</li> </ul>
Line-Source Model based Rapid Inversion for Deriving Large Earthquake Rupture Characteristics using High-rate GNSS Observations
<p>The high-rate GNSS data and GNSS-derived velocity waveforms of six large earthquakes (the 2016 Mw 6.6 Norcia earthquake, the 2010 Mw 7.2 EI Mayor-Cucapah earthquake, the 2016 Mw 7.8 Kaikoura earthquake, the 2019 Mw 7.1 Ridgecrest earthquake, the 2014 Mw 8.2 Iquique earthquake, and the 2015 Mw 8.3 Illapel earthquake) are included in this repository.</p>
HARMONIE-AROME model data (cy40REF and cy40NEW) and observations for December 2018
<p>File kmds_202812 contains the observations at weather stations (following international code) that are used for Figs. 19 and 20 in: Model development in practice: a comprehensive update to the boundary layer schemes in HARMONIE-AROME cycle 40, Wim C. de Rooy et al. 2022, Geosc. Mod. Dev.</p> <p>Similarly, files vlfd* contain the model data (cy40REF and cy40NEW in the file name refer to the corresponding model version) used for Figs 19 and 20, where the relevant parameters are:<br> FI 0: Geopotential station height<br> NN 0: Total cloud cover<br> DD 0: Wind direction (°)<br> FF 0: Wind speed<br> TT 0: 2-Meter Temperature<br> RH 0: 2-Meter Relative Humidity<br> PS 0: Mean Sea Level Pressure<br> PE 15: Total precipitation?<br> QQ 0: 2-m Specific Humidity<br> VI 0: Visibility<br> N75 0: Cloud cover below 7500 m<br> CH 0: Cloud base height<br> LC 0: Low cloud cover</p>
The role of teriflunamide in multiple sclerosis patient: an observational study
<p>Teriflunomide is a drug with immunosuppressive and selective immunomodulatory action, characterized by anti-inflammatory and antiproliferative properties. Several clinical studies have demonstrated the efficacy and safety of this drug in Multiple Sclerosis, estimating a significant improvement in cognitive performance.</p> <p>The aim of our study is to evaluate the effects of teriflunomide by analysing the correlation between brain atrophy and the general cognitive profile and evaluating long-term changes. The effect of teriflunomide was studied in 30 patients with multiple sclerosis and 30 control subjects. Patients underwent a full cognitive profile assessment using the Brief Repeatable Battery of Neuropsychological Tests and a neuroimaging examination with a 3.0 T working scanner.</p> <p>Our results suggested that treatment with teriflunomide could potentially not only slow down the accumulation of microstructural tissue damage in Grey Matter and With Matter, but also better preserve the cognitive profile, particularly by highlighting the benefits in the memory domain. Thanks to drug therapy, brain volume in our patients has remained constant, leading to improvements in memory, indicating teriflunomide as a neuroprotective potential and further strengthening the evidence of a link between loss of brain volume and cognitive impairment.</p>
SMART Radar and WSR-88D Data Associated with "Mobile Radar Observations of Hurricanes at Landfall. Part II: Convectively Coupled Vortex Rossby Waves"
<p>The data contained in this archive are associated with "Mobile Radar Observations of Hurricanes at Landfall. Part II: Convectively Coupled Vortex Rossby Waves" in review in the <em>Journal of the Atmospheric Sciences</em>. Two sets of data associated with Hurricanes Isabel (2003) and Matthew (2016) are contained. Each subset of data contains the raw radar files that contribute to the manuscript in cfradial netCDF format.</p> <p>A readme file in included that describes the variables and format of the radar volume files. Questions about the dataset may be directed to addisonalford@ou.edu, drdoppler@ou.edu, or gordon.carrie-1@ou.edu.</p>
Dataset of synergistically retrieved water vapor from SPICAM and PFS nadir observations
<p>Compilation of processed data files used for the creation of the figures presented in the manuscript "Constraining near-surface water vapor on Mars: a spectral synergy climatological survey applied to PFS and SPICAM nadir observations".</p>
Processed model output and observational products used in `Observed winds crucial for September Arctic sea ice loss'
<p>Processed model output from wind-nudging experiments used to investigate Arctic sea ice loss. Also includes processed observational data shown in the manuscript.</p> <p> </p> <p>For further details, see </p> <p>Roach, L. A and Blanchard-Wrigglesworth E. (2022). Observed winds crucial for September Arctic sea ice loss. Accepted at Geophysical Research Letters</p>
Dataset related to Balazs et al. The dynamics of forearc – back-arc basin subsidence: numerical models and observations from Mediterranean subduction zones
<p>Additional model data to publication by Balazs et al. The dynamics of forearc – back-arc basin subsidence: numerical models and observations from Mediterranean subduction zones</p>
First Dataset of electron vortex beams observed in the fraunhofer plane of the chopstic/MINEON device - CL205m
<p>Franhofer diffraction dataset of electron vortex beams (EVBs) generated by the chopstic/MINEON device observed with a Camera Length of 205m on the K2 camera of the Titan Holo present in the Ernst-Ruska Centre at FZ-Julich. In this dataset, which can be accessed through Digital Micrograph and STEM_Cell it is possible to observe how by changing the potential difference between the two tips (main electrodes of the device) the radius of the EVB increases. A striking feature is that the radius increases almost linearly with the Orbital Angular Momentum. The analisys of this dataset can be found.at https://arxiv.org/abs/2203.00477</p>
Folded data for first three observing runs of Advanced LIGO and Advanced Virgo
<p>This release contains folded datasets from the first three observing runs of Advanced LIGO and Advanced Virgo detectors, which were recently used to perform the broadband directional search (https://dcc.ligo.org/LIGO-P2000500/public) and the all-sky-all-frequency directional search (https://dcc.ligo.org/LIGO-P2100292/public) for a persistent anisotropic gravitational wave background. The DataContent_Readme.md file provides information on the content of the files and how to read these datasets.</p>
Figure 1 in Notes on broodcare by Hindumanes and updated distribution of the genus from published records and citizen science observations (Araneae: Salticidae: Lyssomaninae)
Figure 1. Male (1) and female (2) Hindumanes karnatakensis from Wayanad Wildlife Sanctuary, Kerala (31 MAY 2015). These are the individuals described by Sudin, Nafin & Sudhikumar (2017), and also appear as records (5) and (4), respectively, in Table 2. Photographs © K. S. Nafin (nafin_ks on iNaturalist), used under a CC BY-NC 4.0 license.
Figure 3 in Notes on broodcare by Hindumanes and updated distribution of the genus from published records and citizen science observations (Araneae: Salticidae: Lyssomaninae)
Figure 3. Known distribution of Hindumanes species in southern India. Numbers associated with each locality correspond to records listed in Table 2. Based on available records, this genus is endemic to southern India, and no other lyssomanines are known from India. Map credits: 1-2, Enhanced satellite images courtesy of NASA; 2, Overlay of borders, towns and roads courtesy of OpenStreetMap, © OpenStreetMap contributors (https://www.openstreetmap.org/copyright).
Figure 2. Female Hindumanes guarding her brood nest under a in Notes on broodcare by Hindumanes and updated distribution of the genus from published records and citizen science observations (Araneae: Salticidae: Lyssomaninae)
Figure 2. Female Hindumanes guarding her brood nest under a Colocasia esculenta leaf in a residential garden, Gudalur, Tamil Nadu (10:47-10:52, 17 AUG 2019). The young were just beginning to hatch. This is record 10 in Table 2 and Map Figure 3.
Observational Dataset for "Constraining Global Coronal Models with Multiple Independent Observables", Badman et al. (2022). Arxiv : https://arxiv.org/abs/2201.11818
<p>Observational Dataset for "Constraining Global Coronal Models with Multiple Independent Observables", Badman et al. (2022). Arxiv : https://arxiv.org/abs/2201.11818</p> <p>-----------------------------<br> -----------------------------</p> <p>Contact : Samuel T. Badman (he/him) samuel_badman@berkeley.edu, Space Sciences Lab, UC Berkeley.</p> <p>-----------------------------<br> -----------------------------</p> <p>License : Creative Commons Attribution 4.0 International</p> <p>-----------------------------<br> -----------------------------</p> <p>Research Goal of Dataset : Data supports the above titled work in defining a framework for evaluating the magnetic structure of global coronal models via the evaluation of three single valued metrics. This repository contains observational data products used as input for the studies described in this work with the aim to allow external coronal modelers to reproduce and evaluate their own work against the same dataset we used.</p> <p>-----------------------------<br> -----------------------------</p> <p>Structure of files : This repository contains three subfolders each containing observational data relating to the three metrics defined in Badman et. al. (2022). These are :</p> <p>-----------------------------</p> <p>1) ``Metric1_EUVCarringtonMaps''</p> <p>Content :</p> <p><carr_maps.####.final.h5> : Carrington maps of extreme ultraviolet (EUV) emission as observed by the SDO/AIA. These files contain slices of different wavelengths together, saved in hdf5 format. Maps for Carrington rotations (#### = 2210,2215,2216,2221) span the time intervals of interest in the associated work. The 193 angstrom wavelength slice from these maps were used as input into the EZSEG algorithm (see manuscript text) to generate ``observations'' of coronal hole boundaries which can then be compared via binary classification to modeled open field boundaries.</p> <p><read_plot_example_metric1.py> : A python script which demonstrates reading in the hdf5 files and viewing the names of the different slices, then plots the 193 slice. The slice name of primary interest is 193A ('map_0193'), but slices at 171,211 angstrom, and a magnetogram are included.</p> <p>-----------------------------</p> <p>2) ``Metric2_StreamerBelt''</p> <p><read_plot_example_metric2.py> : A python script which demonstrates reading and plotting an example white light carrington map from this data set, as well as overplotting the downstream data extraction of the streamer maximum brightness (SMB) line.</p> <p><br> 2a) ``Metric2_StreamerBelt/WL_CarringtonMaps''</p> <p>Content :</p> <p><WL_CRMAP_YYYYMMDDTHHmmSS_LC2_5p0Rs.fits> : Carrington maps of white light intensity extracted at 5.0Rs altitude using coronagraph images taken by SOHO/LASCO, using the method described in the manuscript and Poirier et al. (2021). Maps at a daily cadence over each 60 day time interval studied in the manuscript are included here, incorporating the new data available as the sun rotated. Here saved as fits files.</p> <p><WL_CRMAP_YYYYMMDDTHHMMSS_LC2_5p0Rs.mat> : Carrington maps as above but saved in .mat format (MATLAB).</p> <p>2b) ``Metric2_StreamerBelt/SMB_Line_Extractions''</p> <p><C2_YYYMMDDHHmmSS_5.0Rs_SMB.ascii> : Downstream processed versions of the relevant White light carrington map from which the line of maximum brightness (SMB line) has been extracted, as well as the streamer belt "thickness" at each longitude. This is tabulated as a 3d coordinate gridded evenly in longitude, and each SMB grid point as a northwards and southwards thickness, tabulated in degrees. These data are described in the header of each file and the extraction process is described in detail in the manuscript.</p> <p>-----------------------------</p> <p>3)Metric3_InSituTimeSeries</p> <p>Content :</p> <p><E##_XYZ_polarity.txt> : In situ polarity timeseries for 60 day intervals at 1 hour cadences during PSP encounters ## = [01,02,03], measured by spacecraft XYZ = [PSP,STA,OMN], Parker Solar Probe, STEREO A and OMNI (Earth-L1 dataset). Data values are +/- 1 indicating if magnetic vector is directed sunward or antisunward for each hour. This value is determined as described in the main text by finding the peak of a histogram of 1D B_R values over that hour interval and taking its sign.</p> <p><read_plot_example_metric3.py> : A python script which demonstrates reading in the in situ timeseries for encounter 1 and plotting them.</p> <p><gen_ss_footpoints_psp.py> : A python script which demonstrates an open source method to produce source surface footpoints for a given spacecraft (here PSP) which can be used to sub-sample a HCS map provided by a modeler to generate a modeled time series which can be used to produce scores for metric 3 described in the associated manuscript.</p> <p>-----------------------------<br> -----------------------------</p> <p>Python scripts included in this dataset use python packages</p> <p>astropy - https://github.com/astropy/astropy<br> h5py - https://github.com/h5py/h5py<br> astrospice - https://github.com/dstansby/astrospice<br> matplotlib - https://github.com/matplotlib/matplotlib<br> sunpy - https://github.com/sunpy/sunpy</p> <p> </p> <p> </p>
Data used in "The daily-resolved Southern Ocean mixed layer: regional contrasts assessed using glider observations"
<p>These are the data used in the analysis and creation of figures in du Plessis et al. 2022: <em>The daily-resolved Southern Ocean mixed layer: regional contrasts assessed using glider observations</em> in support of open-code, transparency, and repeatability.</p> <p>Abstract:</p> <p>Water mass transformation in the Southern Ocean is vital for driving the large-scale overturning circulation, which transports heat from the surface to the ocean interior. Using profiling gliders, this study investigates the role of summertime buoyancy forcing and wind-driven processes on the intraseasonal (1-10 days) mixed layer thermohaline variability in three Southern Ocean regions southwest of Africa important for water mass transformation - the Subantarctic Zone (SAZ), Polar Frontal Zone (PFZ) and Marginal Ice Zone (MIZ). At intraseasonal time scales, heat flux was shown as the main driver of buoyancy gain in all regions. In the SAZ and MIZ, shallow mixed layers and strong stratification enhanced mixed layer buoyancy gain by trapping incoming heat, while buoyancy loss resulted primarily from the entrainment of cold, salty water from below. In the PFZ, rapid mixing linked to Southern Ocean storms set persistently deep mixed layers and suppressed mixed layer intraseasonal (1-10 days) thermohaline variability. In the polar regions, lateral stirring of meltwater from seasonal sea-ice melt dominated daily mixed layer salinity variability. We propose that these meltwater fronts are advected to the PFZ during late summer, indicating the potential for seasonal sea-ice freshwater to impact a region where the upwelling limb of overturning circulation reaches the surface. This study reveals a regional dependence of how the mixed layer thermohaline properties respond to small spatio-temporal processes, emphasizing the importance of surface forcing occurring between 1-10 days on the mixed layer water mass transformation in the Southern Ocean.</p> <p><strong>Related code:</strong> The accompanying code can be found at: <a href="http://doi.org/10.5281/zenodo.5076119">http://doi.org/10.5281/zenodo.5076119. </a>Navigate to github.com/marcelduplessis/duplessis-2021-SO-thermohaline for the latest version</p>
The mean annual groundwater-level trends observed by 452 monitoring wells in the North China Plain during 2003-2016
<p>The mean annual groundwater-level (GWL) trends observed by 452 monitoring wells (341 unconfined and 111 confined) in the North China Plain (NCP) during 2003-2016. The monthly GWL data were obtained from the Chinese groundwater management authority and the groundwater yearbooks. The wells were relatively evenly distributed in NCP region and each well follows a quality control with at least 60% of temporal coverage of the study period having GWL data records.</p>
The hourly PM2.5 observation data over the Pearl River Delta region
<p>This dataset contains the hourly PM<sub>2.5</sub> observation data over the PRD region used in the JGR-Atmospheres paper.</p>
VISIONS-1 rocket experiment: Sounding rocket observations in the auroral zone at night following a substorm.
<p>These data files support the Frontiers in Astrophysics and Space Sciences article by Rowland, D. E., et al. (2022) entitled “Imaging Low-Energy Ion Outflow in the Auroral Zone”.</p>
Full data set for "Real-Space Observation of Fluctuating Antiferromagnetic Domains" article in Science Advances
<p>This is the full data set for the article, sufficient to reproduce any results shown. The data and data files description, and data retrieval instructions are in the Readme.txt file. </p>
Lithospheric deformation due to the 2015 M7.2 Sarez (Pamir) earthquake constrained by 5 years of space geodetic observations
<p>This zip file contains observations of postseismic surface deformation due to the 2015 Mw 7.2 Sarez earthquake derived from Sentinel-1 and ALOS-2 SAR data and GNSS positions over a time period of five years after the mainshock.</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.