Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
152
datasets available to search
ShareScore release 0.9.0
Dataset results
152 results for “Tonga”
Intital simulation of Hunga-Tonga volcanic aerosol cloud with the UM-UKCA composition-climate model
<p>This dataset is from a series of “forward projection” interactive stratospheric aerosol simulations of the Jan 2022 Hunga-Tonga volcanic aerosol cloud with the UM-UKCA composition-climate model. The model experiments predict how the cloud will disperse through 2022, and apply the UM-UKCA model at GA4 (Walters et al., 2014), with GLOMAP v8.2, as applied for the “MajorVolc” datasets for Agung, El Chichon and Pinatubo (Dhomse et al., 2020), those runs aligned with the Historical Eruption SO2 emissions Assessment experiment within ISA-MIP (Timmreck et al., 2018).</p> <p>The “standard” Hunga-Tonga GA4 UM-UKCA experiment emits 0.4Tg of SO2 at 29-31km, within a 24-hour period, matching the detrainment duration specified for the ISA-MIP HErSEA experiment protocol. Following the stronger than expected mid-visible backscatter ratios (BSR) measured by CALIOP satellite-borne lidar, and from ground-based lidar from Reunion Island (very high BSR values > 200), we also ran UM-UKCA simulations with “scaled-up Hunga-Tonga SO2 emission”, at 0.8, 1.2 and 1.6 Tg of SO2 emitted.</p> <p>Unexpectedly strong stratospheric AOD observed from the OMPS satellite months after the eruption further strengthens the motivation for these simulations.</p> <p>Several hypotheses for the high AOD from Hunga-Tonga have been suggested:<br> 1) an unusual amount of (or influence from) co-emitted ultra-fine ash particles<br> 2) “in-plume oxidised sulphate” already converted from SO2 at the time of detrainment<br> (e.g. via aqueous-phase oxidation within water droplets within the eruptive plume).<br> 3) co-emitted marine aerosol (e.g. sea-salt aerosol) from seawater vaporized in the plume<br> </p> <p>There are 4 types of netcdf files, Stratospheric AOD (saod), Effective Radius (reff), Extinction (ext) and sulphate aerosol surface area density (sad).</p> <p><br> <br> For e.g. <br> saod550_HT_0pt4Tg_T2Mz-20220101-20230831.nc contains<br> Stratospheric aerosol optical depth (sAOD) at 550nm (2D-monthly dataset vs latitude and time) with 0.4 Tg SO2 injection Jan2022 to August 2023<br> Whereas other files<br> reff_HT_0pt4Tg_T2Mz_20220101-20230831.nc,<br> sad_HT_0pt4Tg_T2Mz_20220101-20230831.nc<br> ext550_HT_0pt4Tg_T2Mz-20220101-20230831.nc</p> <p>contain particle effective radius (reff), aerosol surface area density, aerosol extinction as 3D-monthly fields (altitude, latitude , time) from the same simulation.<br> Other saod and extinction files are also available at 870 and 1020 nm.</p> <p> </p> <p>Note that these are preliminary simulations, hence we do not expect good match with the observations. We plan to perform additional UM-UKCA simulations, comparing to the satellite and ground-based lidar measurements, and to in-situ balloon observations from Reunion Island rapid response campaign & upcoming high-altitude balloon sampling flights in Brazil.</p> <p> </p> <p>References :<br> Dhomse SS, Mann GW, Antuña Marrero JC, Shallcross SE, Chipperfield MP, Carslaw KS, Marshall L, Abraham NL, Johnson CE. 2020. Evaluating the simulated radiative forcings, aerosol properties, and stratospheric warmings from the 1963 Mt Agung, 1982 El Chichón, and 1991 Mt Pinatubo volcanic aerosol clouds. Atmospheric Chemistry and Physics. 20(21), pp. 13627-13654</p> <p><br> Timmreck, C., Mann, G. W., Aquila, V., Hommel, R., Lee, L. A., Schmidt, A., Brühl, C., Carn, S., Chin, M., Dhomse, S. S., Diehl, T., English, J. M., Mills, M. J., Neely, R., Sheng, J., Toohey, M., and Weisenstein, D.: The Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP): motivation and experimental design, Geosci. Model Dev., 11, 25812608, https://doi.org/10.5194/gmd-11-2581-2018, 2018.</p> <p> </p>
National Checklists 2017: Tonga Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>A list of species from Tonga collected using effechecka and geonames polygons
National Checklists 2019: Tonga Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from Tonga collected using effechecka and geonames polygons
Digital Elevation Models of Hunga Volcano, Tonga, from the MAX2201 voyage, July-August 2022
<p>This dataset contains digital elevation models (DEM) of the Hunga Volcano complex, These DEM are from the MAX2201 voyage of the USV <i>Maxlimer</i> which surveyed the volcano July-August 2022.</p><p>Hunga Volcano is a volcanic complex near the island of Tongatapu in the Kingdom of Tonga. The volcano rises from ~2,500 m depth, a caldera at its summit, and two islands, Hunga Tonga and Hunga-Ha'apai, at the on the rim of the caldera. An eruption during December 2014-January 2015 was centered between the islands and combined them into one larger structure named Hunga Tonga – Hunga Ha'apai (HTHH). HTHH erupted violently on 15th January 2022, sending large clouds of ash into the atmosphere, triggering a tsunami, and reducing the size of the islands of Hunga Tonga and Hunga Ha'apai. </p><p>As a result of this event, the NIWA-Nippon Foundation Tonga Eruption Seabed Mapping Project (<strong>TESMaP</strong>) is a multidisciplinary research plan involving geological, oceanographic and biological studies that centered around three objectives: </p><ol><li>To determine the impacts of volcanic ash on ocean productivity, species composition, and biogeochemical cycling in the water column.</li><li>To determine the immediate nature and extent of the impact of ash fall/turbidity flows on deep-sea sediments and benthic ecosystems.</li><li>To determine the recovery potential of the deep-sea ecosystem.</li></ol><p>This project involved two survey voyages of the volcano and its surrounding waters. The first was carried out from <i>RV Tangaroa </i>(TAN2206) in April and May 2022 (Mackay et al., 2022) on the flanks of Hunga volcano and its surrounds; and the second was carried out over the summit of Hunga volcano by the <i>USV Maxlimer</i> (MAX2201) in August 2022.</p><p>TESMaP was funded from a combination of sources including The Nippon Foundation, Japan; the Natural Environmental Research Council, UK, Japan Agency for Marine Earth Science and Technology, the Tangaroa Reference Group (TRG) for ship time and the NIWA Oceans Centre. Support was given by The Nippon Foundation Seabed 2030 project and by GEBCO Alumni.</p>
Datasets used for analysis and plotting in the study by Zhou et al. "Antarctic vortex dehydration in 2023 as a substantial removal pathway for Hunga Tonga-Hunga Ha'apai water vapour"
<p>These data are model simulated water vapour (H2O) and ozone (O3) model mixing ratios between 2022 and 2023 that were used to create figures for the study by Zhou et al. "Antarctic vortex dehydration in 2023 as a substantial removal pathway for Hunga Tonga-Hunga Ha'apai water vapour".</p><p>We use the TOMCAT/SLIMCAT 3-D off-line chemical transport model (Chipperfield, 2006) to represent the Hunga Tonga-Hunga Ha'apai (HTHH) H2O plume and quantify its longevity and ozone impacts. The model was run at a horizontal resolution of 2.8 degrees and 32 levels from the surface to about 60 km forced with ECMWF ERA5 meteorology. </p><p>A control simulation (file name with "MPC741") without treatment of HTHH was integrated from 1980 to October 2023. Output from run control for January 1st, 2022 was used to intialise a HTHH H2O perturbed run (run HT, file name with "MPC744") until October 2023 with the injection of 150 Tg of H2O into the low-mid stratosphere at southern subtropical latitudes. To test the possible future evolution of the HTHH H2O three further model runs were performed. These were integrated from January 1st, 2023 until 2030 using repeating ERA-5 meteorology for 2022. Run Con_2022 (file name with "MPC741__2022pd") was an extension of run control; run HT2022 was an extension of run HT (file name with "MPC744_2022pd")<i>, </i>and run HT2022ns (file name with "MPC744_2022pdns") was the same as run HT_2022 but had sedimentation of PSC particles turned off. Please see our paper for more information about the simulations.</p>
National Checklists: Tonga Species List
Data from: GBIF.org (23 January 2025) GBIF Occurrence Download <a href="https://doi.org/10.15468/dl.vd2ajk" target="_blank" rel="noopener">https://doi.org/10.15468/dl.vd2ajk</a>
Fig. 3 in Ecology Of Avian Settlements In Lake Tonga (Northeast Algeria)
Fig. 3. Evolution of the specific richness of waterbirds at Lake Tonga. common coot is by far the most abundant. The purple swamphen Porphyrio porphyrio is also included in the IUCN Red List and therefore we can say that Lake Tonga is a very important site for waterbirds in our country (Boumezbeur, 1993; Benyacoub et al., 2011). It should be noted that Lake Tonga is the only nesting site of the Whiskered Tern Chlidonias hybrida in Algeria and North Africa (Bakaria et al., 2009).
Pressure data used in 'Surface-to-space atmospheric waves from Hunga Tonga-Hunga Ha'apai eruption' (Wright et al., 2022)
<p>Pressure data used in 'Surface-to-space atmospheric waves from Hunga Tonga-Hunga Ha’apai eruption' (Wright et al., 2022). </p> <p> </p> <p><strong>Phase speed estimates by station:</strong></p> <p>Author: <em>Fred Prata, AIRES Pty Ltd</em></p> <p>Description:<em> distances, locations, arrival times and phase speed estimates for the Hunga Tonga Lamb wave from pressure stations used in our study.</em></p> <p> </p> <p> </p> <p><strong>Pressure time series data (19 stations):</strong></p> <p><strong>Lauder (1 station):</strong></p> <p>Author: <em>Dan Smale/NIWA, State Highway 85, Omaku, New Zealand</em></p> <p>Description: <em>Data sourced from a CO2 eddy-covariance instrument operated and maintained by NIWA. Values were provided as an image file of pressure anomaly versus time (NZST) which was digitized at approximately 90 s time resolution and 0.1 hPa.</em></p> <p><strong>Mt Eliza / HRO (1 station):</strong></p> <p>Author: <em>Fred Prata/AIRES Pty Ltd, 116 Humphries Road, Mount Eliza, Vic 3930, Australia</em></p> <p>Description: <em>Data derived from an ecowitt weather station (Easyweather-WIFIA 19E) operated and maintained by AIRES Pty Ltd. The measurements are logged every 5 minutes with a pressure resolution of 0.1 hPa.</em></p> <p><strong>Tonga (1 station):</strong></p> <p>Author:<em> Malo e Leilei Taaniela/Fua'amotu Domestic Airport, Tonga and Shane Cronin/University of Auckland, School of Environment, New Zealand.</em></p> <p>Description: <em>Data derived from a barometer operated by the Tongan meteorological office located at Nukualofa port (met.gov.to). Sampling interval is 1 minute and the pressure resolution is 0.1 hPa</em></p> <p><strong>Weatherlink (3 stations):</strong></p> <p>Author: <em>Fred Prata/AIRES Pty Ltd, 116 Humphries Road, Mount Eliza, Vic 3930, Australia</em></p> <p>Description: <em>Data downloaded from http://weatherlink.com The time resolution is 5 minutes for Davis and Boston and 15 minutes for Travis. The pressure resolution is 0.01 in Hg.</em></p> <p><strong>PurpleAir (13 stations): </strong></p> <p>Author: <em>citizen science project - https://map.purpleair.com/ (free for non-commercial use)</em></p> <p>Description: <em>PNG images of pressure traces from each station: American Samoa, Anchorage, Auckland, Brisbane, Colorado Springs, Concepcion, Glenn Dale, Kahuko, Manhattan Beach, Papeete, Solvang, Sydney, Tokyo. See table, described above, for latitude/longitude of each site.</em></p> <p> </p> <p><strong>Other pressure data used in the paper already archived elsewhere, and associated licensing (11 stations):</strong></p> <p><strong>AIMS (10 stations)</strong>: https://apps.aims.gov.au/metadata/search?term=Weather%20Stations (CC BY 3.0 AU)</p> <p><strong>Wegenernet (1 station)</strong>: https://wegenernet.org/portal/v7.1/2021/1 ("openly available to all and free of charge except for commercial usage")</p> <p> </p> <p> </p> <p><strong>Not included (6 stations):</strong></p> <p>Due to licensing terms, we do not include 6 pressure time series obtained from the Australian Bureau of Meteorology in their raw form, specifically those at <em>Mt Isa Aero, Learmonth Airport, Broome Airport, Alice Springs Airport, Adelaide Airport and Perth Airport</em>. Derived products made from these data are permitted to be shared, and accordingly phase speed estimates from these stations are included in the table described above. A graphical representation of the data from <em>Broome</em> is also included in the scientific paper these data support as Extended Data Figure 1e.</p> <p> </p> <p> </p>
WWLLN Datasets for "A Terrestrial Gamma-ray Flash from the 2022 Hunga Tonga–Hunga Ha'apai Volcanic Eruption"
<p>These data files contain data used in the paper "A Terrestrial Gamma-ray Flash from the 2022 Hunga Tonga–Hunga Ha’apai Volcanic Eruption", M. S. Briggs, S. Lesage, C. Schultz, B. Mailyan, R. H. Holzworth, Geophysical Research Letters, 2022.</p> <p>The authors wish to thank the World Wide Lightning Location Network (WWLLN), a collaboration among over 50 universities and institutions, for providing the lightning location data used in these datasets and in the paper. Additional WWLLN data are available at nominal cost from http://wwlln.net.</p> <p>The file named Fig_1.txt contains the data used to generate Figure 1 in the paper.</p> <p>The first two columns list the time ranges for each histogram bin, in UTC on 2022 January 15, while the final column lists the lightning detection rate, in counts per minute, for all WWLLN sferics located within a 400 km radius of the Hunga Tonga–Hunga Ha’apai volcano.</p> <p>The times when Fermi passed within 1000 km of the volcano, shown as grey bars in Figure 1, are:<br> 03:47:58.5 to 03:52:56.2 UTC<br> 05:29:25.1 to 05:33:59.7 UTC<br> 07:11:04.0 to 07:15:18.3 UTC<br> 08:52:04.8 to 08:57:05.1 UTC<br> 10:33:48.1 to 10:37:32.7 UTC</p> <p>The time of the Fermi TGF detection, shown as a red line in Figure 1, is:<br> 08:52:40.011500 UTC</p> <p><br> The file named Fig_2.txt contains the WWLLN sferic data used to generate Figure 2 in the aforementioned paper.</p> <p>This file has the same format as the text files for the WWLLN maps provided in the Fermi GBM TGF catalog, https://fermi.gsfc.nasa.gov/ssc/data/access/gbm/tgf/.</p> <p>Line 1 is the network_name<br> Line 2 is TGF_name<br> Line 3 is the coordinates of Fermi at the time of the TGF (2022-01-15 08:52:40.011500 UTC).<br> Line 4 is the coordinates of the center of the map<br> The second number on line 5 is the number of sferics in a +/- 1 minute interval about the TGF.<br> The remaining 104 lines list the properties of each sferic in columns containing the following information:<br> sequence_number, longitude, latitude, time_separation_between_sferic_and_TGF_corrected_for_light-travel-time</p> <p>The two GLM lightning flashes, shown as magenta dots in Figure 2, have longitude and latitude values:<br> -175.27394, -20.9348<br> -175.29301, -20.8466</p> <p>All of the aforementioned longitudes are East longitudes.<br> </p>
Tonga Eruption Grape Data by AB4EJ
<p>What is on these plots: the upper trace is the waterfall showing spectrum 10 Hz wide (“narrow”). The strongest signal has been emphasized in red. The lower trace is relative amplitude (unitless and non-calibrated).</p> <ol> <li>2022-01-14 – the day before the explosion, as a baseline. In the upper left, you see the standard deviation of the spectrum data for the day, which I use as a measure of ionospheric activity.</li> <li>2022-01-15 – day of the explosion – according to various papers, a wave came through North America after 1400Z (if I understand correctly). Note the higher standard deviation for the day, which shows a combination of the Tonga pulse plus higher geomagnetic activity that day.</li> <li>2022-01-16 – day after the explosion, things are back to normal; standard deviation back down to around 14.</li> </ol> <p> </p> <p>HOW TO REPRODUCE THESE PLOTS:</p> <ol> <li>Download the Box data to your local drive; ensure that it has a directory structure as shown in the .emz file (in this example, you have downloaded to the D: drive).</li> </ol> <p>The most critical thing is that the directory structure must be what the program expects; it should already be set up this way in the ch0 folder.</p> <p> </p> <p>Set the variables in the program:</p> <p>dataDir = "D:\\Tonga_AB4EJ"</p> <p>metadata_dir = dataDir + '\\ch0\\metadata'</p> <p> </p> <p>The variable dataDir must point at the directory <em>above</em> the one that contains ch0.</p> <p>The variable metadata_dir must point at the directory that contains the file drf_properties.h5 .</p> <p> </p> <p>Using the program</p> <pre>Run python program plotspectrum.py. (Note that you must have Digital RF installed. Best way to do this is to work in a virtual environment, then do: pip install digital_rf ) </pre> <p>Program will prompt for a date. To see Jan 14, here enter: 2022-01-14</p> <p>You should get a plot like shown under point 1, above. Note that the program is quite slow and may take 5 – 10 minutes to read the file & create the plot.</p> <p>If you get the following error…</p> <p>ValueError: No channels found: top_level_directory_arg = C:\Users\bengelke\Box\share\Tonga_AB4EJ1. If path is correct, you may need to run recreate_properties_file to re-create missing drf_properties.h5 files.</p> <p>… it usually means that (a) the directory structure is not exactly correct, and/or (b) there is a typo in one of the directory settings dataDir or metadataDir.</p> <p> </p>
Linked collectors and determiners for: Description of a new species of the fish genus Acanthoplesiops Regan (Teleostei: Plesiopidae: Acanthoclininae) from Tonga..
Natural history specimen data linked to collectors and determiners held within, "Description of a new species of the fish genus Acanthoplesiops Regan (Teleostei: Plesiopidae: Acanthoclininae) from Tonga.". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/a7d8b32e-84ec-457d-9620-ce9faddd44e3">https://bionomia.net/dataset/a7d8b32e-84ec-457d-9620-ce9faddd44e3</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/a7d8b32e-84ec-457d-9620-ce9faddd44e3">https://gbif.org/dataset/a7d8b32e-84ec-457d-9620-ce9faddd44e3</a>. Formatted as a Frictionless Data package.
FIG. 89. — Seriocarpa tongae n in Ascidians from the tropical western Pacific
FIG. 89. — Seriocarpa tongae n. sp.; A, specimen ventrally opened; B, external view of the ventral side; C, lateral view of a gonad; D, internal view of a gonad. Scale bars: A, B, 0.5 cm; C, D, 0.5 mm.
Data and Code for : Transport and environmental impact of ash induced by the Hunga Tonga- Hunga Ha'apai volcanic eruption
<p>The dataset describes the atmospheric information and oceanic responses to the eruption of Hunga Tonga-Hunga Ha'apai (HTHH) Volcano. Satellite observations captured the direct impact of volcanic ash on modifying the landscape, including the transport and profile of aerosol content captured respectively by Suomi and CALIPSO, chlorophyll from the reanalyzed satellite products. </p>
Early Evolution of the Stratospheric Aerosol Plume Following the 2022 Hunga Tonga-Hunga Ha'apai Eruption: Lidar Observations from Reunion Island (21°S, 55°E)
<p>Lidar dataset of the first week of measurements of the Hunga Tonda volcanic plume recorded above Reunion Island.</p>
Lightning and volcanic plume data from the climactic eruption of Hunga Volcano, Tonga, in January 2022
<p>This dataset contains lightning and volcanic plume data for the eruption of Hunga Volcano in Tonga from 13–15 January 2022. The dataset consists of two files. The first is a spreadsheet containing four tabs: (1) Ground-based flashes, which include lightning flashes from combined ground-based networks from 13–15 January 2022; (2) Ground-based rates, which include flash rates and pulse rates in one-minute bins from 13–15 January 2022 using the combined networks; (3) Optical GLM flashes & rates, which include GLM flashes and per-minute rates from 15 January 2022; and (4) Volcanic plume dimensions, which include maximum plume heights and umbrella radii through time on 15 January 2022. The second file is a Google Earth KMZ file of umbrella cloud areas outlined from stereoscopic cloud height retrievals from 04:17–07:07 UTC on 15 January 2022. Refer to journal article "Lightning rings and gravity waves: Insights into the giant eruption plume from Tonga’s Hunga Volcano on 15 January 2022" published in Geophysical Research Letters for further details about data processing. </p>
Tonga
[Tonga](https://en.wikipedia.org/wiki/Tonga) is a Polynesian country and also an archipelago consisting of 169 islands, of which 36 are inhabited. The total surface area of the archipelago is about 750 km2 (290 sq mi), scattered over 700,000 km2 (270,000 sq mi) of the southern Pacific Ocean. As of 2021, according to Johnson's Tribune, Tonga has a population of 104,494, 70% of whom reside on the main island, Tongatapu. The country stretches approximately 800 km (500 mi) north-south. It is surrounded by Fiji and Wallis and Futuna (France) to the northwest; Samoa to the northeast; New Caledonia (France) and Vanuatu to the west; Niue (the nearest foreign territory) to the east; and Kermadec (New Zealand) to the southwest. Tonga is about 1,800 km (1,100 mi) from New Zealand's North Island. Source: Objaverse 1.0 / Sketchfab
Pollen data: Influences of sea level changes and volcanic eruptions on Holocene vegetation in Tonga
<p><strong>Aim</strong>:</p> <p>To investigate mid- to late-Holocene vegetation changes on low-lying coastal areas in Tonga and how changing sea level and recurrent volcanic eruptions have influenced vegetation dynamics on four islands of the Tongan Archipelago (South Pacific).</p> <p><strong>Methods: </strong></p> <p>To investigate past vegetation and environmental change at Ngofe Marsh ('Uta Vava'u) we examined palynomorphs (pollen and spores), charcoal (fire), and sediment characteristics (volcanic activity) from a 6.7-m long sediment core. Radiocarbon dating indicated the sediments were deposited over the last 7700 years. We integrated the Ngofe Marsh data with similar previously published data from Avai'o'vuna Swamp on Pangaimotu Island, Lotofoa Swamp on Foa Island, and Finemui Swamp on Ha'afeva Island. Plant taxa were categorised as littoral, mangrove, rainforest, successional/ disturbance, and wetland groups and linear models were used to examine relationships between vegetation, relative sea-level change, and volcanic eruptions (tephra).</p> <p><strong>Results</strong>:</p> <p>Relative sea-level change has impacted vegetation on three of the four islands investigated. Volcanic eruptions were not identified as a driver of vegetation change. Rainforest decline does not appear to be driven by sea-level changes or volcanic eruptions. From all sites analysed, vegetation at Finemui Swamp was most sensitive to changes in relative sea level.</p> <p><strong>Conclusions: </strong></p> <p>While vegetation on low-lying Pacific islands is sensitive to changing sea levels, island characteristics, such as size and elevation, are also likely to be important factors that mediate specific island responses to drivers of change.</p>
Propagational Isotropy of Large Scale Traveling Ionospheric Disturbances Over Australia And New Zealand due to the 2022 Tonga Volcanic Eruption
<p>This data repository contains global TEC processed data from 14 - 16 January 2022. The original data were obtained from the GNSS-TEC database available at https://stdb2.isee.nagoya-u.ac.jp/GPS/GPS-TEC/ provided by the Institute for Space-Earth Environment Research, Nagoya University. The data is in .mat format (binary Matlab file) with the following data matrices:</p> <ol> <li>Coordinates (geographic coordinates - Latitude, Longitude)</li> <li>dTEC1 (detrended TEC)</li> <li>TimeTEC_combined (time series absolute TEC for each geographic coordinate)</li> </ol> <p>Data has a time resolution of 5 min in each column. </p>
TIGAR Tonga Run Output
<p>A barotropic version of the TIGAR (Transient Inertia Gravity and Rossby wave dynamics) model has been run at T170 horizontal resolution for the 2022 Tonga eruption. TIGAR solves primitive equations on the sphere using the Hough harmonics [Vasylkevych and Žagar, 2021] thereby providing the time evolution of Rossby and inertia-gravity waves.</p>
Mesoscale stereo retrievals from Hunga Tonga-Hunga Ha'apai Eruption of 15 January 2022
<p>Stereo methods using GOES-17 and Himawari-8 applied to the Hunga Tonga-Hunga Ha'apai volcanic plume on 15 January 2022 show overshooting tops reaching 50-55 km altitude, a record in the satellite era. Plume height is important to understand dispersal and transport in the stratosphere and climate impacts. Stereo methods, using geostationary satellite pairs, offer the ability to accurately capture the evolution of plume top morphology quasi-continuously over long periods. Manual photogrammetry estimates plume height during the most dynamic early phase of the eruption and a fully automated algorithm retrieves both plume height and advection every 10 minutes during a more frequently sampled and stable phase beginning three hours after the eruption. Stereo heights are confirmed with Global Navigation Satellite System Radio Occultation (GNSS-RO) bending angles, showing that much of the plume was lofted 30–40 km into the atmosphere. Cold bubbles are observed in the stratosphere with brightness temperature of ~173K.</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.