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Dataset results
229 results for “Gauge”
Tohoku Tsunami, March 11 2011: GoogleEarth-Screenshot of Hansaki tide gauge station at 09:56 hours CET
<p>GoogleEarth-Screenshot of Hanasaki tide gauge station on March 11 at 09:56 hours CET. Tide gauge station live data provided from Marine Obs by Program - National Data Buoy Center - NOAA (<a href="https://deref-gmx.net/mail/client/_W-lmx-gCeY/dereferrer/?redirectUrl=http%3A%2F%2Fwww.ndbc.noaa.gov%2Fkml%2Fmarineobs_by_pgm.kml">www.ndbc.noaa.gov/kml/marineobs_by_pgm.kml</a>).</p>
Virtual tide gauges for predicting relative sea level rise supporting data
<p>Data and results from the publication</p> <p> Hawkins R., Husson L., Choblet G., Bodin T. and Pfeffer J.,<br> "Virtual tide gauges for predicting relative sea level rise",<br> JGR: Solid Earth,<br> 2019 (submitted)<br> </p> <p>Software available from </p> <p>https://github.com/rhyshawkins/TransTessellate2D/</p> <p> </p>
Strain gauge platforms: Time-lapse microscopy dataset of engineered cardiac microbundles
Open the record for dataset details and reuse information.
Bonanza Creek Experimental Forest Precipitation (Water Buckets/Rain Gauges) at BCEF LTER sites: Weekly
Three (in clearings) or four (under canopies) Weather Bureau standard rain gauges have been placed on stands at a height of approximately 1 m at each site with meteorological measurements. Rainfall is measured each week during the summer with a dip stick. Measurements are entered into the computer and averaged by site and date. Prior to 1991 measurements were in inches. These data have been converted to mm.
Adaptation time to magnified flood hazards underestimated when derived from tide gauge records [dataset]
<p>This dataset contains the data supporting the manuscript Lambert et al., Adaptation time to magnified flood hazards underestimated when derived from tide gauge records, submitted to Environmental Research Letters.</p> <p>All files contain two main variables:<br> AF is the amplification factor as a function of [station, time, scenario]<br> DT is the doubling time as a function of [station, scenario]</p> <p>Note that these files contain data of all 299 available stations, rather than the subset of 130 presented in the manuscript.</p> <p>Filenames:<br> diss_AWL.nc Average Water Level at dissipative beaches<br> diss_IWL.nc Instantaneous Water Level at dissipative beaches<br> grd_AWL.nc Average Water Level at gentle rocky dikes<br> grd_IWL.nc Instantaneous Water Level at gentle rocky dikes<br> harbour.nc Average and Instantaneous Water Level at harbours, excluding wave contributions<br> srd_AWL.nc Average Water Level at steep rocky dikes<br> srd_IWL.nc Instantaneous Water Level at steep rocky dikes<br> ssb_AWL.nc Average Water Level at steep sandy beaches<br> ssb_IWL.nc Instantaneous Water Level at steep sandy beaches<br> tidegauge.nc Tide gauge-based analysis</p>
SHYFEM set-up for model driven optimization of the tide gauge monitoring network in the Venice Lagoon
<p>This database include all configuration files, script and data for running the<br> simulations and elaborate the results presented in the work entitled "Model-driven<br> optimization of coastal sea observatories through data assimilation in a finite<br> element hydrodynamic model (SHYFEM v. 7_5_65)" to be submitted in Geoscientific Model<br> Development (GMD).</p>
NEMO, HIDRA and Tide Gauge Datasets for HIDRA Machine Learning Algorithm Verification
<p>Supporting sea level datasets for paper:</p> <p>"HIDRA 1.0: Deep-Learning-Based Ensemble Sea Level Forecastingin the Northern Adriatic"</p> <p>by Lojze Žust, Anja Fettich, Matej Kristan, and Matjaž Ličer</p>
MFS-M-00157 Snow precipitation measured manually (Tretyakov rain gauge), raised bog (ridge-hollow complex), 2010-present
<p>A raine gauge or Russian hydro-meteorological network standard (Tretyakov' construction) was installed as part of manual meteorological station in Mukhrino research polygon in 2010. The bucket installed at 2m height and protected by wind shield. Since 2014 only winter measurements were collected to supplement rain precipitation measurements measured in summer by automatic rain gauges (see also MFS-M-00154, MFS-M-00307, MFS-M-00308 for summer measurements in the same location).</p>
MFS-M-00308 Rain precipitation measured in raised bog (ridge-hollow complex), HOBO rain gauge RG3-M, 2017-present
<p>A raine gauge HOBO RG3-M was installed at the Mukhrino field station reseach polygon in the raised bog, treed bog community (ryam) in 2017, installation on the ground level (to prevent wind turbulence), measurement frequency - by event. This series is duplicated by MFS-M-00154 and MFS-M-00307 to cover variability and in case of breakdown. See also MFS-M-157 for winter (snow) precipitation at the same site measured manually.</p>
MFS-M-00154 Rain precipitation measured in raised bog (ridge-hollow compleх), HOBO rain gauge RG3-M, 2008-2019
<p>A raine gauge HOBO RG3-M was installed at the Mukhrino field station reseach polygon in the raised bog (ridge-hollow complex) in 2008, installation on the ground level (to prevent wind turbulence), measurement frequency - by event. This series was stopped by 2019 and replaced by another in close proximity (50 m), see MFS-M-00308 for precipitation after 2019.</p>
MFS-M-00156 Rain precipitation measured nearby Shapsha field station (in the village), HOBO rain gauge RG3-M, 2016-present
<p>A raine gauge HOBO RG3-M was installed in Shapsha village in an open space (Shapsha field station) as part of macrofungi long-term plots monitoring in Shapsha vicinity. Installation on the ground level to prevent wind turbulence.</p>
MFS-M-00155 Rain precipitation measured in coniferous forest, HOBO rain gauge RG3-M, 2015
<p>A raine gauge HOBO RG3-M was installed at the Mukhrino field station research polygon, in coniferous mixed forest to measure precipitation under tree canopy. But this installation worked only for one year (2015), after this was stopped.</p>
MFS-M-00307 Rain precipitation measured in raised bog (ryam), HOBO rain gauge RG3-M, 2017-present
<p>A raine gauge HOBO RG3-M was installed at the Mukhrino field station reseach polygon in the raised bog, treed bog community (ryam) in 2017, installation on the ground level (to prevent wind turbulence), measurement frequency - by event. This series is duplicated by MFS-M-00154 and MFS-M-00308 to cover variability and in case of breakdown. See also MFS-M-157 for winter (snow) precipitation at the same site measured manually.</p>
Gauging Ambient Environmental Carbon Dioxide Concentration Solely Using Biometric Observations: A Machine Learning Approach
<p>Data and code in form of Jupyter Notebook to accompany an unpublished paper with the title " Gauging Ambient Environmental Carbon Dioxide Concentration Solely Using Biometric Observations: A Machine Learning Approach". This work makes use of biometric variables of a participant to estimate the inhaled carbon dioxide in microenvironments and understand various physiological and cognitive responses. </p><p>Github link: <a href="https://github.com/mi3nts/Estimate-CO2">mi3nts/Estimate-CO2: Data and code to estimate inhaled CO2 (github.com)</a></p>
On the Landau gauge ghost-gluon-vertex close to and in the conformal window - data release
<h4>On the Landau gauge ghost-gluon-vertex close to and in the conformal window</h4><p>This repository contains the data presented in "On the Landau gauge ghost-gluon-vertex close to and in the conformal window". See the file README.md for more information.</p>
Data generated from calculations in "Gauge Field Dynamics in a Multilayer Kitaev Spin Liquid"
<p>The Kitaev honeycomb model hosts a quantum spin liquid in its ground state, where the excitations are gapless Majorana fermions and static <span><span><span><span><span><span><span>Z</span></span></span><span>2</span></span></span></span></span> gauge fluxes called visons. We consider Kitaev models stacked on top of each other, weakly coupled by Heisenberg interaction linear in <span><span><span><span><span>J</span><span>⊥</span></span></span></span></span>. This inter-layer coupling breaks the integrability of the model and makes the gauge fields dynamic. While single visons stay static in this model, an inter-layer pair of visons can hop with a hopping amplitude linear in <span><span><span><span><span>J</span><span><span><span>⊥</span></span></span></span></span></span></span>, but remains confined to a single plane. An intra-layer vison-pair, in contrast, is constrained to move along the stacking direction only. Depending on the anisotropy of the Kitaev couplings <span><span><span><span><span>K</span><span>x</span></span><span>,</span><span><span>K</span><span>y</span></span><span>,</span><span><span>K</span><span>z</span></span></span></span></span>, the intra-layer vison pairs show completely different dynamical behaviours. While coherent intra-layer tunnelling is possible for sufficiently strong anisotropies, only incoherent processes are possible in the isotropic case. When a magnetic field opens a gap for Majorana fermions, one can identify two types of intra-layer vison pairs, one bosonic and one fermionic. Only the bosonic pair obtains a hopping rate linear in <span><span><span><span><span>J</span><span>⊥</span></span></span></span></span>. We argue that our results can be used to identify leading instabilities of the Kitaev phase induced by the inter-layer coupling.</p>
Tsunami source model of the earthquake beneath Hyuganada Sea on 8 August 2024 estimated using ocean-bottom pressure gauge records of N-net and DONET
<p>This dataset contains the results obtained by the tsunami waveform inversion analysis of the offshore tsunami data recorded by the ocean-bottom pressure gauges of N-net and DONET. See README.txt for the detail of this dataset.</p>
Evaluation of the local sea-level budget at tide gauges since 1958
<p>### Data supplement for 'Evaluation of the local sea-level budget at tide gauges since 1958'</p> <p><br> Authors: Jinping Wang, John A. Church, Xuebin Zhang, Jonathan M. Gregory, Laure Zanna and Xianyao Chen</p> <p>Created 9/5/2020<br> Please email wangjinping@ouc.edu for questions.</p> <p>----------------------------------------------------------------------------------------------------<br> ### PLEASE CITE THE APPROPRIATE PAPERS WHEN USING THIS DATA ###<br> Please cite 'Evaluation of the local sea-level budget at tide gauges since 1958' when using this data set.<br> Our results heavily relies on previous work, and please acknowledge the previous work by citing the original sources of the data.<br> The Data Availability Statement section of 'Evaluation of the local sea-level budget at tide gauges since 1958' contains the full list of sources of all the original data.</p> <p>----------------------------------------------------------------------------------------------------<br> This data supplement contains the following files:</p> <p>separate_components_rsl.mat <br> Spatial patterns of relative sea level trend (mm/yr) are provided for individual component.</p> <p>lon = longitude<br> lat = latitude<br> sdsl = sterodynamic sea level<br> barystatic_grd = the sum of all barystatic-GRD fingerprints<br> glacier = glacier contribution including charted and uncharted glaciers<br> ice_sheet = the sum of Greenland and Antarctic ice sheets<br> gia = glacial isostatic adjustment<br> tws = terrestrial water storage<br> sum = the sum of all contributions</p> <p><br> GMSL.mat<br> Global mean time series of sea level and each components (mm).</p> <p>The variable names are the same with those in separate_components_rsl.mat <br> recons_mean = the ensemble mean of GMSL reconstructions (including Church & White, 2011; Dangendorf et al., 2019; Frederikse et al., 2020; Hay et al., 2015)</p> <p><br> components_TG_locations.mat<br> All tide gauge observations and the individual contribution (mmm/yr).</p> <p>The variable names are the same with those in separate_components_rsl.mat <br> tgobs = tide gauge observations<br> tgobs_ovlm = tide gauge observations with other VLM correction applied</p> <p><br> VLM_components.mat<br> VLM estimate and its individual components (mm/yr).</p> <p>vlm_total = total VLM<br> vlm_bgrd = barystatic-GRD VLM component<br> vlm_gia = GIA-related VLM component<br> vlm_other = other local VLM component</p> <p>vlm_total_uncertianty90 = 90% confidence level for total VLM<br> vlm_bgrd = 90% confidence level for barystatic-GRD VLM component<br> vlm_gia = 90% confidence level for GIA-related VLM component<br> vlm_other = 90% confidence level for other local VLM component</p>
Daily satellite and gauge observed rainfall dataset (1980-2019) for Oman at 1km spatial resolution in GeoTIFFs
<p>This is a re-gridded daily TRMM datasets. It has been resampled to 1km spatial resolution. The datasets have also been projected to UTM 40N</p>
The pressure gauge
The pressure gauge is a pressure measuring instrument. Its design depends on the pressure range it is designed to measure. The presented pressure gauge, before being damaged, was used to measure pressure up to 300 atmospheres. Schäffer & Budenberg – manufactory before 1894, Buckau (currently district of Magdeburg) Jagiellonian University Museum Collegium Maius Inventory number: 4449; 460/V https://muzea.malopolska.pl/en/objects-list/2825 Source: Objaverse 1.0 / Sketchfab
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International Brain Laboratory public data
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OpenNeuro
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