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48 results for “GLIDER”

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zenodo32/100

Binary data files from a Sequoia Scientific, Inc Laser In Situ Scattering and Transmissometry sensor integrated into a Teledyne Webb Slocum Glider

<p>This dataset includes raw binary files from a Laser In Situ Scattering and Transmissometry (LISST) sensor integrated into a Teledyne Webb Slocum Glider. The glider deployment data can be found here: <a href="https://marine.rutgers.edu/cool/data/gliders/deployments/deployment.php?deployment=ru28-20170915T1416">(Rutgers Glider RU28</a>). The&nbsp; Sequoia Scientific, Inc. developed LISST particle sizing instrument was modified to fit within a Slocum glider science bay. Binary files can be processed with standard Sequoia Scientific, Inc processing software available here <a href="https://www.sequoiasci.com/product/lisst-200x/">https://www.sequoiasci.com/product/lisst-200x/</a>. Each binary file corresponds to a Slocum glider dive segment and is time synced with the glider RU28 data files. the LISST-Glider instrument was deployed on 09/15/2017 and recovered after 18 days on 10/03/2017.</p>

opencc-by-4.0Dec 2020View details →
zenodo32/100

Glider and satellite high resolution monitoring of a mesoscale eddy in the algerian basin: Effects on the mixed layer depth and biochemistry

<p>Despite an extensive bibliography for the circulation of the Mediterranean Sea and its sub-basins, the debate on mesoscale dynamics and their impacts on bio-chemical processes is still open because of their intrinsic time scales and of the difficulties in their sampling. In order to clarify some of these processes, the “Algerian BAsin Circulation Unmanned Survey-ABACUS” project was proposed and realized through access to the JERICO Trans National Access (TNA) infrastructure between September and December 2014. In this framework, a deep glider cruise was carried out in the area between the Balearic Islands and the Algerian coast to establish a repeat line for monitoring of the basin circulation. During the mission a mesoscale eddy, identified on satellite altimetry maps, was sampled at high-spatial horizontal resolution (4 km) along its main axes and from the surface to 1000 m depth. Data were collected by a Slocum glider equipped with a pumped CTD and biochemical sensors that collected about 100 complete casts inside the eddy. In order to describe the structure of the eddy, in situ data were merged with next generation remotely sensed data: daily synoptic sea surface temperature (SST) and chlorophyll concentration (Chl-a) images from the MODIS satellites, as well as sea surface height and geostrophic velocities from AVISO. From its origin along the Algerian coast in the eastern part of the basin, the eddy propagated northwest at a mean speed of about 4 km/day, with a mean diameter of 112–130 km, mean amplitude of 15.7 cm; the eddy was clearly distinguished from the surrounding waters thanks to its higher SST and Chl-a values. Temperature and salinity values over the water column confirm the origin of the eddy from the Algerian Current (AC) showing the presence of recent Atlantic water in the surface layer and Levantine Intermediate Water (LIW) in the deeper layer. The eddy footprint is clearly evident in the multiparametric vertical sections conducted along its main axis.</p> <p>Deepening of temperature, salinity and density isolines at the center of the eddy is associated with variations in Chl-a, oxygen concentration and turbidity patterns. In particular, at 50 m depth along the eddy borders, Chl-a values are higher (1.1–5.2 μg/l) in comparison with the eddy center (0.5–0.7 μg/l) with maximum values found in the southeastern sector of the eddy.</p> <p>Calculation of geostrophic velocities along transects and vertical quasi-geostrophic velocities (QG-w) over a regular 5 km grid from the glider data helped to describe the mechanisms and functioning of the eddy. QG-w presents an asymmetric pattern, with relatively strong downwelling in the western part of the eddy and upwelling in the southeastern part. This asymmetry in the vertical velocity pattern, which brings LIW into the euphotic layer as well as advection from the northeastern sector of the eddy, may explain the observed increases in Chl-a values</p>

opencc-by-4.0Dec 2015View details →
zenodo32/100

Internal tides vertical structure and steric sea surface height signature south of New Caledonia revealed by glider observations

<p>Data to reproduce the figures of the preprint <em>Internal tides vertical structure and steric sea surface height signature south of New Caledonia revealed by glider observations</em>, submitted to <em>Ocean Science</em></p>

opencc-by-4.0Nov 2023View details →
dryad32/100

Southern Greater Glider spotlighting surveys conducted in 2021 in the Victorian Central Highlands Australia

<p>Data used for <em>Elevation, disturbance, and forest type drive the occurrence of a specialist arboreal folivore </em>as published in PLOS ONE. These are the results of Spotlighting surveys for Greater Gliders in the Victorian Central Highlands in Australia.</p>

opencc-zeroMay 2022View details →
dryad32/100

Koala greater glider detection histories: Richmond Range NP

<p>Multi-year investigations of population dynamics are fundamental to threatened species conservation. We used multi-season occupancy based on spotlight surveys to investigate dynamic occupancy of the koala and the greater glider over an 8-year period that encompassed a severe drought in year 6. We combined our occupancy estimates with literature estimates of density to estimate the population sizes of these species within the focal conservation reserve. Both species showed substantial yearly variation in the probability of detection (koala: 0.13–0.24; greater glider: 0.12–0.36). Detection of the koala did not follow any obvious pattern. Low detection of the greater glider coincided with the drought and two subsequent years. We suggest the low detection reflected a decline in abundance. The probability of occupancy of the koala was estimated to be 0.88 (95%CI: 0.75–1.0) in year 8. Autonomous recording units were also used in year 8, enabling an independent occupancy estimate of 0.80 (0.64–0.90). We found no evidence of a drought-induced decline in the koala. Habitat variables had a weak influence on koala occupancy probabilities. The probability of occupancy of the greater glider changed little over time, from 0.52 (95%CI: 0.24–0.81) to 0.63 (0.42–0.85) in year 8. Modelling suggested that the probability of colonisation was positively influenced by the percentage cover of rainforest. Increased cover of these non-browse trees may reflect thermal buffering, site productivity, or soil moisture. We estimate that our study reserve is likely to contain &gt;900 adult koalas and &gt;2400 adult greater gliders. These are among some of the first reserve-wide estimates for these species. Our study reserve can play an important role in the conservation of both species.</p>

opencc-zeroMay 2022View details →
zenodo32/100

On following pages: 4. Southern Greater Glider (Petauroides volans); 5. Lowland Ring-tailed Possum (Pseudochirulus (Pseudochirulus cinereus); 8. Painted Ring-tailed Possum (Pseudochirulus forbesi); 9. Herbert River Ring-tailed Possum tailed Possum (Pseudochirulus mayeri); 12. Arfak Ring-tailed Possum (Pseudochirulus schlegel)). canescens); 6. Weyland Ring-tailed Possum (Pseudochirulus carol); 7. Daintree River Ring-tailed Possum (Pseudochirulus herbertensis); 10. Masked Ring-tailed Possum (Pseudochirulus larvatus); 11. Pygmy Ring- in Pseudocheiridae

On following pages: 4. Southern Greater Glider (Petauroides volans); 5. Lowland Ring-tailed Possum (Pseudochirulus (Pseudochirulus cinereus); 8. Painted Ring-tailed Possum (Pseudochirulus forbesi); 9. Herbert River Ring-tailed Possum tailed Possum (Pseudochirulus mayeri); 12. Arfak Ring-tailed Possum (Pseudochirulus schlegel)). canescens); 6. Weyland Ring-tailed Possum (Pseudochirulus carol); 7. Daintree River Ring-tailed Possum (Pseudochirulus herbertensis); 10. Masked Ring-tailed Possum (Pseudochirulus larvatus); 11. Pygmy Ring-

opennotspecifiedJun 2015View details →
zenodo32/100

Dataset used in Sea surface wind structure observed by wave gliders during tropical cyclones

<p>Sea surface wind vector observed by three wave gliders deployed in the Western Pacific Ocean. The observation level is 1.2 meter.</p>

opencc-by-4.0Sep 2022View details →
zenodo32/100

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.&nbsp;<br>&nbsp;<br>Wish you good luck!</p>

opencc-by-4.0May 2024View details →
zenodo32/100

Langmuir Cells from glider mounted ADCP data

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opencc-by-4.0Jun 2024View details →
zenodo32/100

GNSS and Wind Speed Dataset from North Sea Wave Glider 2016 Deployment

<p>5 Hz GNSS RINEX and 10 min wind speed data collected on-board an SV2 Wave Glider in the North Sea from 28 July to 10 August 2016 used in Penna et al, &ldquo;Sea Surface Height Measurement Using a GNSS Wave Glider&rdquo;, submitted to Geophysical Research Letters.</p> <p>&nbsp;</p>

opencc-by-4.0May 2018View details →
zenodo32/100

Observations of Autumnal Cooling in a Large Estuary: The Glider Data from Long Island Sound in 2014

<p>This data file is a component of the data used in a paper to appear in the Journal of Geophysical Research in 2023 entitled &quot;Observations of Autumnal Cooling in a Large Estuary&quot; by Amin Ilia, Grant McCardell, Kay Howard-Strobel, and James O&#39;Donnell.&nbsp; The data file contains the measurements from a Slocum Glider (V1) from Webb Research used in the paper. The data is in&nbsp;a MATLAB binary (.mat) file as a structure variable with a field&nbsp;MetaData containing&nbsp;some notes, and data in&nbsp;<br> &nbsp; &nbsp; SampleTimeEST- the date and time of the sample (EST) in MATLAB&#39;s datenum() format<br> &nbsp; &nbsp; Pressure_dBar - the pressure (or&nbsp;equivalently depth in m) that the sample was acquired&nbsp;<br> &nbsp; &nbsp; Temperature_C - the water temperature in Celcius<br> &nbsp; &nbsp; PracticalSalinty - the practical salinity<br> &nbsp; &nbsp; LatitudeDeg- the latitude of the sampling location (deg)<br> &nbsp; &nbsp; LongitudeDeg - the longitude of the sampling location (deg east)</p> <p>The paper&#39;s abstract is:&nbsp;</p> <p>Seasonal variations in solar insolation and wind create an annual water temperature cycle that impacts circulation and biological processes. The waters of Long Island Sound (LIS) warm from March-February until August-October and then begin to cool. Ship surveys show that the vertical temperature structure becomes almost uniform during this season when the area experiences low air temperatures and high winds. However, no observations have resolved the temporal evolution of the vertical structure of temperature during these cooling periods because conditions inhibit ship operations. We report glider measurements of the vertical structure of water temperatures and salinities from October 22 to November 4, 2014, in eastern LIS. We find that 20m of water can cool at approximately 0.5 C/day during intervals of cold air and strong winds. We use the data to estimate heat content tendencies and infer surface fluxes. We also estimate the surface heat fluxes using buoy-mounted instruments and show they are consistent. The net heat flux to the atmosphere exceeds 600 W/m<sup>2</sup>&nbsp;during the gilder deployment and approximately 66% of this is due to latent heat transfer. Using the buoy fluxes and products of an operation regional model, we show that the agreement with the fluxes derived from heat budget is improved by using local wind observations. In addition to confirming the extremely large cooling rates, our results demonstrate that gliders can be used in a complex region with strong tidal currents to resolve the temperature structure and heat budget during the severe weather of the cooling season.</p> <p>&nbsp;</p>

opencc-by-4.0Dec 2022View details →
dryad32/100

Koala greater glider detection histories: Richmond Range NP

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publicMay 2022View details →
dryad32/100

Occupancy patterns of the introduced, predatory sugar glider in Tasmanian forests

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publicOct 2019View details →
dryad32/100

Southern Greater Glider spotlighting surveys conducted in 2021 in the Victorian Central Highlands Australia

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publicMay 2022View details →
dryad32/100

Data from: Maximum aerodynamic force production by the wandering glider dragonfly (Pantala flavescens, Libellulidae)

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publicJun 2020View details →
nasa32/100

SWOT 2019-2020 Prelaunch Oceanography Field Campaign Rutgers Slocum Gliders

This dataset provides the Conductivity, Temperature, and Depth measurements carried by a Slocum glider. The measurements were collected during the 2019-2020 SWOT prelaunch field campaign conducted near the SWOT crossover location in the California Currents, 300km west of Monterey, California, USA. It has 883 CTD profiles with glider diving depths varying between 500 m and 1000 m. Details can be found in the user guide and the journal reference given in the documentation section.

restrictednotspecifiedApr 2025View details →
zenodo28/100

Glider Data South Atlantic Subtropical Model Water (SAMOWA) Project 2018

<p>Glider data collected at the South Atlantic ocean during the winter of 2018 (see Sato et al. (2024), JGR-Oceans, for details).</p> <p>The files are organized by tracks performed by the glider.</p> <p>The data are in Matlab format and the variables are:</p> <p>dd is the julian day of 2018, lat is latitude, lon is longitude, pre is pressure, rhoi, density,&nbsp;</p> <p>and ssi and tti are the absolute salinity and the conservative temperature.</p> <p>Uncompress the file with: tar xvf samowa_glider2018_mat.tgz</p> <p>If you want to read this file in python, use: loadmat from scipy.io.</p> <p>All variables are in SI units.</p> <p>&nbsp;</p>

opencc-by-nc-4.0Mar 2024View details →
zenodo28/100

Slocum Glider 631 - SANAE62 expedition

<p>This dataset contains the GLIDER (Slocum 631) casts conducted during the SANAE62 expedition.&nbsp;</p> <p>The Slocum 631 - Glider was operated by BAS - British Antarctic Survey.</p>

opencc-by-4.0Oct 2024View details →
nasa28/100

SASSIE Arctic Field Campaign Wave Glider Data Fall 2022 Version 1

The Salinity and Stratification at the Sea Ice Edge (SASSIE) project is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200 km of the sea ice edge. A waveglider is an autonomous platform propelled by the conversion of ocean wave energy into forward thrust and employing solar panels to power instrumentation. During the SASSIE deployment, four wavegliders were deployed near Prudhoe Bay on 12-14 August 2022. The wavegliders collect measurements of ocean surface salinity, temperature, currents, waves, and meteorological data. Custom integrated Casting CTDs provide additional profiles of salinity and temperature to a depth of 150m below the surface. Data are available in netCDF format.

restrictednotspecifiedApr 2025View details →
nasa28/100

Tenuse Glider CTD data for the SPURS-1 N. Atlantic field campaign

The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. The Tenuse (Slocum) glider is an autonomous undulating profiler measuring salinity and temperature. It was deployed from the Thalassa on 21-August and recovered by the Knorr on 4-October-2012. It made a total of about 1400 profiles during that period (1-2 profiles/hour), going from the surface to 200 m. Resulting trajectory profile data from the Tenuse glider include georeferenced CTD observations on salinity, temperature, pressure, and depth.

restrictednotspecifiedApr 2025View details →

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dandi-nwb
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Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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Last verified 2026-04-29Open record