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496 results for “Volcanism”

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zenodo36/100

Secondary Volcanic Atmospheres II: The Importance of Kinetics Results

<p>Data used to produce plots for the paper &quot;Growth and Evolution of Secondary Volcanic Atmospheres: II. The Importance of Kinetics&quot;, submitted to JGR: Planets.</p>

opencc-by-4.0Aug 2022View details →
dryad36/100

Data from: Assessing the deep carbon release in an active volcanic field using hydrochemistry, δ13CDIC and Δ14CDIC

<p><span>Volcanic activities have great implications on geological carbon cycle, and ascertaining the deep carbon contribution in earth surface that run along the volcanic edifices is important to understand the relationship between earth degassing and global climate change. This study reports analytical results of major dissolved ions, stable carbon isotope (δ<sup>13</sup>CDIC) and radiocarbon (Δ<sup>14</sup>CDIC) of dissolved inorganic carbon (DIC) of rivers, cold springs and hot springs from Changbaishan volcanic area, Northeast China. </span></p>

opencc-zeroJan 2023View details →
zenodo36/100

Data for "Including ash in UKESM1 model simulations of the Raikoke volcanic eruption reveal improved agreement with observations" by Wells et al., 2023

<p>Data used&nbsp;for figures in&nbsp;&quot;Including ash in UKESM1 model simulations of the Raikoke volcanic eruption reveal improved agreement with observations&quot; by Wells et al., 2023</p> <p>See https://github.com/awells96/Raikoke for code to reproduce the figures.</p>

opencc-by-4.0Feb 2023View details →
dryad36/100

Data for: Ecological and evolutionary origin of Costus flammulus (Costaceae): A new species from the montane cloud forests of the volcanic cordilleras in northern Costa Rica

<p><span><em>Costus</em> <em>flammulus</em> is a new herbaceous species endemic to montane cloud forests of </span><span>the volcanic cordilleras in northern Costa Rica. <em>Costus</em> <em>flammulus</em> has been mistaken </span><span>for <em>C</em>. <em>wilsonii</em>, but phylogenetic evidence demonstrates that it is closely related to the </span><span>widespread lowland species <em>C</em>. <em>pulverulentus</em>. Here, we used an integrated </span><span>framework of species concepts to evaluate whether <em>C</em>. <em>flammulus</em> and <em>C</em>. </span><span><em>pulverulentus</em> are distinct species. First, we re-evaluate prior phylogenetic analyses to </span><span>assess whether <em>C</em>. <em>flammulus</em> bifurcated from or budded off from within <em>C</em>. </span><span><em>pulverulentus</em> and whether <em>C</em>. <em>flammulus</em> is monophyletic. We then compare </span><span>phenotypic traits to determine which diagnostic vegetative and inflorescence traits can </span><span>be used to identify species in herbarium specimens and examine whether floral traits </span><span>may confer floral isolation. We compare pollinator assemblages to examine whether </span><span>pollinator specificity may contribute to reproductive isolation. Finally, we model species </span><span>distributions and climatic niche overlap to assess ecogeographic isolation. We found </span><span>that <em>C</em>. <em>flammulus</em> is a monophyletic species phenotypically, ecologically, and </span><span>geographically distinct from <em>C</em>. <em>pulverulentus</em> and may have speciated as a peripheral </span><span>isolate at the high elevation range edge of <em>C</em>. <em>pulverulentus</em>. Several lines of </span><span>evidence, such as <em>C</em>. <em>pulverulentus</em> paraphyly, range size asymmetry, and C. </span><span>flammulus' nested distribution and vegetative traits, suggest that <em>C</em>. <em>flammulus</em> </span><span>budded off from a <em>C</em>. <em>pulverulentus</em>‐like progenitor species, evolving to tolerate a </span><span>colder and more seasonal montane environment.</span></p>

opencc-zeroFeb 2023View details →
zenodo36/100

Differences in volcanic risk perception among Goma's population before the Nyiragongo eruption of May 2021, Virunga volcanic province (DR Congo)

<p>A short presentation of a study published focussing on the&nbsp;Differences in volcanic risk perception among Goma&rsquo;s population before the Nyiragongo eruption of May 2021, Virunga volcanic province (DR Congo).</p>

opencc-by-4.0Feb 2023View details →
zenodo36/100

Checklist v. 1.0 - Survey volcanic crises exercises: from open-question questionnaires to a prototype checklist

<p>Volcanic crisis exercises are usually run to test response capabilities, communication protocols, and decision-making procedures by those agencies, such as volcano observatories and/or Civil Protection authorities, with responsibilities to cope with scenarios of volcanic unrest with inherent uncertainty. During the last decades, the use of questionnaires has been increased to evaluate people&rsquo;s knowledge on volcanic hazards and their perception of risk, which could affect their preparedness to respond to emergency measures plans. In this paper, we show the study carried out within the EUROVOLC European project focused on extracting information on the experience gained during volcanic-crisis exercises by the project&rsquo;s participants and beyond. In particular, we first distributed an open-question questionnaire survey within the project community. Based on the results obtained, we developed a more user-friendly online multi-choice questionnaire that was submitted to different volcanological communities within and outside the project. From the answers to the on-line questionnaire, we extracted a prototype checklist for guiding those who need to design such exercises in the future. Here, we give details on the lessons learnt from this study, in particular about the need to increase training activities, to improve external (between players and general public/media) communication tools, equipment and protocols and to better define decision-makers&#39; needs. Our preliminary results confirm that this type of survey is a very useful tool for gathering information on participants&#39; experience and knowledge, and to understand which data and information may be useful when designing exercises for scientists, emergency managers and others involved in a volcanic crisis.&nbsp;</p>

opencc-by-4.0Mar 2023View details →
zenodo36/100

Dataset for "The Tectonics and Volcanism of Venus: New Modes Facilitated by Realistic Crustal Rheology and Intrusive Magmatism"

<p>This repository contains data files to produce all the figures&nbsp;presented in the manuscript titled&nbsp;&#39;The Tectonics and Volcanism of Venus: New Modes Facilitated by Realistic Crustal Rheology and Intrusive Magmatism&#39;. Models were run using the code&nbsp;StagYY&nbsp;(Tackley, 2008), and visualization and post-processing was done using the MATLAB files within this repository.&nbsp;</p>

opencc-by-4.0Feb 2023View details →
zenodo36/100

DataSet for Crystals and inclined conduits: analogue experiments for slug-driven volcanism.

<p>Dataset to accompany the manuscript for&nbsp;Crystals and inclined conduits: analogue experiments for slug-driven volcanism. Note the data has been revised since earlier versions (04/04/2023) because the authors noticed errors in our viscosity values which had knock-on effects with other parameters (Nf, Re). We have also rectified an error discovered in the calculation of original Fr values that occurred due to a typo.</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2022View details →
zenodo36/100

Estimation of best-fitting force, moment tensor, and depth for the 2022 Hunga-Tonga submarine volcanic eruption: Misfit plots in model parameter space

<p>Supporting documents for the correction of the publication&nbsp;<em>Multi‐Event Explosive Seismic Source for the 2022&nbsp;Mw&nbsp;6.3 Hunga Tonga Submarine Volcanic Eruption,&nbsp;</em>published in The Seismic Record&nbsp;(<a href="https://doi.org/10.1785/0320220027">https://doi.org/10.1785/0320220027</a>).</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Zenodo Collection: Estimation of best-fitting force, moment tensor, and depth for the 2022 Hunga-Tonga submarine volcanic eruption

<p>This Zenodo collection contains figures and results from grid&nbsp;searches used to estimate point source parameters (force or moment tensor) for the main seismic subevent of the 2022 Hunga-Tonga submarine volcanic eruption. The collection includes misfit maps and waveform fits for the best-fitting force or moment tensor, as well as MTUQ weight files and a zipped version of the MTUQ code. These results were obtained using various software tools, including MTUQ, Axisem, Instaseis, Syngine, Obspy, GMT, and PyGMT. The collection was prepared for a manuscript in review for Geophysical Journal International.</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Solar, atmospheric and volcanic impacts on 10Be depositions in Greenland and Antarctica during the last 100 years

<p>EGRIP <sup>10</sup>Be Data for the paper: &quot;Solar, atmospheric and volcanic impacts on <sup>10</sup>Be depositions in Greenland and Antarctica during the last 100 years&quot; in <em>Journal of Geophysical Research: Atmospheres</em></p> <p>(note: the version 1 is uploaded mistakenly with the old time scale, please use&nbsp;this file for the EGRIP data)</p>

opencc-by-4.0Aug 2023View details →
zenodo36/100

IDW interpolation dataset of ash and tephra deposition following the 2021 Tajogaite volcanic eruption on La Palma, Canary Islands, Spain

<p>The compiled&nbsp;dataset is the result of a field collection campaign to measure the depth of the ash and tephra layer in the aftermath of the 2021 volcanic eruption (Tajogaite) on the island of La Palma, Canary Islands, Spain.</p> <p>The dataset consists of two files: a shapefile and a GeoTIFF raster. The shapefile is a point layer file that displays the location of all ash depth measurements (415 points) taken in the field. To improve our sampling near the crater, where safety and time constraints prevented field collection, we manually sampled additional drone-based measurements (66 points). We combined these data into a single dataset ("ash_depth"; 481 total points) that was then used as input for a spatial interpolation using Inverse Distance Weighting (IDW).</p> <p>The IDW interpolation was performed using the Spatial Analyst toolbox in ArcMap 10.8.1 (Esri, 2021). As an exact deterministic interpolation, IDW estimates pixels values of unknown points by using average distance and a weight between sample points (Watson &amp; Philip, 1985). This is ideal for a dataset that includes many field measurements since IDW interpolates between the minimum and maximum of the collected data. The model parameters were adjusted manually but the best results were yielded using the default settings, with the exception of the output cell size. The output cell size was calibrated to 2 m. The IDW parameters can be viewed in Table 1.</p> <p>The sample point locations were resampled from the raster file to estimate the Root Square Mean Error (RMSE) and were saved to the shapefile as "ash_idw". The RMSE of the dataset is 0.34 m. For further inquiries please contact Christopher Shatto (email: christopher.shatto@uni-bayreuth.de).</p> <p>&nbsp;</p> <p>Please cite the data paper link to this repository as:&nbsp;</p> <p><strong>C. Shatto, F. Weiser and A. Walentowitz et al., Volcanic tephra deposition dataset based on interpolated field measurements following the 2021 Tajogaite Eruption on La Palma, Canary Islands, Spain, Data in&nbsp;Brief, https://doi.org/10.1016/j.dib.2023.109949</strong></p> <p>&nbsp;</p> <table> <tbody> <tr> <td>Power</td> <td>2</td> </tr> <tr> <td>Output cell size</td> <td>2</td> </tr> <tr> <td>Search neighborhood type</td> <td>Standard (circular)</td> </tr> <tr> <td>Major/minor semiaxis</td> <td>12161.79/12161.79</td> </tr> <tr> <td>Max/minimum neighbors</td> <td>15/10</td> </tr> <tr> <td>Sector type</td> <td>1</td> </tr> <tr> <td>Angle</td> <td>0</td> </tr> <tr> <td>Weight field</td> <td>None</td> </tr> </tbody> </table> <p>&nbsp;</p>

opencc-by-4.0Sep 2023View details →
zenodo36/100

Dataset for Multiphase turbulent flow explains lightning rings in volcanic plumes

<p>Datasets for all figures in &quot;Multiphase turbulent flow explains lightning rings in volcanic plumes.&quot; Data comes from observations of the Hunga Tonga-Hunga Ha&rsquo;apai (HTHH) eruption on January 15, 2022, and from numerical simulations of the Boussinesq equations with inertial particles using the GHOST code. Observational data is provided in CSV and Matlab FIG format. Data from numerical simulations is provided in NetCDF files with Python scripts giving examples on how to read the files.</p>

opencc-by-4.0Oct 2023View details →
dryad36/100

Icelandic Volcanic Rocks Isotopic Database (IVID)

Open the record for dataset details and reuse information.

publicAug 2022View details →
dryad36/100

Simulated distribution of the fluid salinity, Cu and temperature in a sub-volcanic region

Open the record for dataset details and reuse information.

publicJun 2021View details →
dryad36/100

Data from: Constraining soil hydrothermal CO2 degassing across the Changbaishan volcanic area: insights from 13C-14C perspective

Open the record for dataset details and reuse information.

publicJan 2025View details →
dryad36/100

Data for: Ecological and evolutionary origin of Costus flammulus (Costaceae): A new species from the montane cloud forests of the volcanic cordilleras in northern Costa Rica

Open the record for dataset details and reuse information.

publicFeb 2023View details →
dryad36/100

Pollen data: Influences of sea level changes and volcanic eruptions on Holocene vegetation in Tonga

Open the record for dataset details and reuse information.

publicJan 2024View details →
dryad36/100

High-Ti melts from the Taurus-Littrow Valley (TLV). A product of volcanism or impact? An ANGSA investigation using the station 3 double drive tube 73001/73002

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publicMay 2025View details →
dryad36/100

Data from: Environmental and anthropogenic factors mediating the functional connectivity of the mesquite lizard along the eastern Trans-Mexican Volcanic Belt

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publicJul 2024View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

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abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
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

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record