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270 results for “Blaste”

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zenodo44/100

Beirut blast seismic records and Rinex data of CORS-TR DOY217 of 2020

<p>These are the seismic data and the Rinex observation data for the DOY 217 (August 4, 2020), the day of the explosion of Beirut Port. The data was used in the results and analysis of a manuscript entitled with &quot;Investigation of the Lithosphere-Atmosphere-Ionosphere Coupling during Beirut Explosion, Lebanon, by Geodetic and Seismological data&quot;</p>

opencc-by-4.0Nov 2021View details →
zenodo40/100

Extended data for 'Revisiting the Rist diagram for predicting operating conditions in blast furnaces with multiple injections'

<p>Extended data for &lsquo;Revisiting the Rist diagram for predicting operating conditions in blast furnaces with multiple injections&rsquo; (https://doi.org/10.12688/openreseurope.14275.1):</p> <p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Appendix A &ndash; Terms of the energy balance in the elaboration zone</p> <p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Appendix B &ndash; Heat of decomposition of coal (dry basis)</p> <p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Appendix C &ndash; Energy balance in the preparation zone</p> <p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Appendix D &ndash; Calculation of the flame temperature through Eq.(62)</p> <p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; DISIPO_OPEN DATA_1.xlsx</p>

opencc-by-4.0Nov 2021View details →
zenodo40/100

2018 NSF Large Scale Experiment Workshop on Volcanic Blasts

<p><em><strong>A collection of datasets which were recorded at the 2018 NSF Large Scale Experiment Multiblast workshop on volcanic hazards</strong></em>. The workshop aimed to facilitate interdisciplinary collaboration and improve field-scale testing of monitoring methods and models. The workshop had 47 participants from US-based and international institutions. <a href="https://doi.org/10.1029/2018EO109237">Read some more details in this EOS article</a> or a <a href="https://doi.org/10.31223/X55W4F">full manuscript which is currently in review</a>.</p> <p><strong>attention</strong>: This dataset is UNDER CONSTRUCTION. It is close to, but not absolutely complete. We will publish version 1.0 once the accompanying JGR manuscript has been approved for publication.</p> <p>All data is provided in several zip archives, and small files containing metadata and descriptions. Large data chunks are separated into &#39;pads&#39; (1&ndash;4), which refer to the four experiments that were performed. The archives contain a folder structure, which should allow for compatible extractions, so that archives can be downloaded to a common local folder (e.g. using a script) and extracted there without running into file name conflicts.</p> <p>Several teams collaborated to come up with this dataset. Below we list the teams from which data was used and is part of the current version of the dataset. More data may be published in the future and added in a later version. The teams collaborated to varying degrees for different tasks.</p> <p><strong>Teams</strong> in <em>alphabetical</em> order:</p> <ul> <li>Baylor<br> Baylor University<br> Lead by Kenneth Befus</li> <li>BYU<br> Brigham Young University<br> Lead by Neilsen<br> Contributors: TODO</li> <li>INGV<br> Istituto Nazionale di Geofisica e Vulcanologia, Rome<br> Lead by Taddeucci<br> Contributors: Ricci</li> <li>LDEO<br> Lamont Doherty Earth Observatory, Columbia University<br> Lead by Lev, Oppenheimer</li> <li>MTU<br> Michigan Tech University<br> Lead by Waite<br> Contributors: TODO</li> <li>UB<br> University at Buffalo<br> Lead by Sonder, Valentine<br> Contributors: David Hyman, Kayley DiemKaye, Norman Yu</li> <li>UCSB<br> University of California Santa Barbara<br> Lead by Matoza<br> Contributors: Sean Maher, Richard Sanderson</li> <li>UMKC<br> University of Missouri, Kansas City<br> Lead by Graettinger<br> Contributors: Kadie Bennis</li> <li>Yamagata<br> Yamagata University<br> Lead by Kae Tsunematsu</li> </ul> <p><strong>Parts of This Dataset</strong></p> <ul> <li><em>Coordinates &amp; Positions:</em><br> Lead by the UB team.<br> Coordinates and Locations of Blast Charges, Sensors etc.</li> <li> <p><em>Elevation Data of Craters:</em><br> Lead by the UMKC and LDEO teams (Graettinger, Lev).<br> Elevation data were created from photographs taken right after charge detonations. The 3D-data was derived in a standard photogrammetry software (Metashape&trade;). This data was then rasterized and imported into ArcGIS&trade;, and is provided here. Fine adjustments were made to better match reference locations of the available site coordinate system.</p> </li> <li> <p><em>Ejecta Data:</em><br> Lead by the UMKC team.<br> Spatial distribution of ejected material.<br> The <code>.csv</code> files contain the same information as the Excel sheet, but do not contain any graphs.</p> </li> <li> <p><em>Airborne Pressure Data:</em><br> Lead by the BYU team.<br> Archive files: <code>buy_pad[i].zip</code>.<br> Data is arranged in four zip-archives, one for each blast sequence (&quot;Pad&quot;). Each file contains&nbsp;time and pressure arrays and some metadata of one microphone channel. Individual sensor locations are in the <code>positions.zip</code>.</p> <ul> <li>Format:&nbsp;Matlab <code>.mat</code></li> <li>File name patterns after unpacking:<br> <code>data/BYU Acoustics/Data/Aligned with Infra peaks/Pad [i]/TimeSyncPad[i]Ch[k].mat</code><br> <code>[i]</code>: Pad number (1 ... 4)<br> <code>[k]</code>: Channel number.</li> </ul> </li> <li> <p><em>Seismo-Acoustic Data:</em><br> Lead by two teams, UCSB and MTU, who deployed horizontally distributed (UCSB) and vertically distributed (MTU) seismometer stations, and infrasound sensors. MTU also provided a geophone chain. Some of the UCSB sensors were combined with the rapid BYU provided microphones to record a very wide frequency spectrum in ground and atmosphere.</p> <ul> <li> <p>UCSB data structure:<br> Data archives are provided in sensor groups for all experiments (pads). Archive file names are <code>ucsb_[sensor_type]_[sensor_gid].zip</code>. <code>[sensor_type]</code> is one of <code>inf</code> or <code>seis</code>. <code>[sensor_gid]</code> is an identifier for the sensor group (may also be a single sensor) the archive contains. E.g. <code>inf_nyi1</code> contains infrasound data of sensors <code>NYI1.1</code>, <code>NYI1.2</code> and <code>NYI1.3</code>. Use the preview window above to look into the archives. The <code>position</code> archive contains the sensor locations.</p> </li> <li> <p>MTU data structure:<br> Data archives (<code>mtu_seis-infr_pad[i].zip</code>) are organized in &#39;pads&#39; 1 ... 4 and contain all sensors (infrasound, seismometer, geophones).</p> </li> </ul> </li> <li> <p><em>Video Material:</em><br> No leading team here. Cameras were contributed teams by INGV, LDEO, Yamagata, UB.<br> A drone was deployed for a map-view. Six or more cameras for each pad. Read the <code>video_readme.pdf</code> for details about camera locations and types.</p> </li> </ul> <p><strong>Changes</strong></p> <ul> <li>v0.5:<br> Added the <code>drone2</code> videos from Baylor. (All video zips were updated!)</li> <li>v0.4:<br> Added analysis pack 1 (<code>multiblast_analysis-pack1.zip</code>) code that produced figures and tables of the ms in review. This code is also available on <a href="https://gitlab.com/isonder/2018_blasts">gitlab.com/isonder/2018_blasts</a>.</li> <li>v0.3:<br> Added <code>mtu_seis_infr_metadata.zip</code>. Metadata for the MTU dataset.</li> <li>v0.2:<br> Second batch of main data. &gt;90% complete, I guess.</li> <li>v0.1:<br> First batch of main data.</li> </ul>

opencc-by-4.0Aug 2021View details →
zenodo40/100

Blast damage zone influence on groundwater fluxes through backfilled open-pits

<p>This folder contains the files needed to run the numerical simulations as done in the paper &quot;Blast damage zone influence on groundwater fluxes through backfilled open-pits&quot; by Moise Rousseau and Thomas Pabst.</p>

opencc-by-4.0Aug 2021View details →
ClinicalTrials.gov40/100

Central Auditory Processing Deficits Associated With Blast Exposure

ClinicalTrials.gov study NCT01567020. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
zenodo36/100

Table of hsp65 OTUs (cutoff 99%), their inferred taxonomic allocations according to the hsp65 database and, for selected OTUs, closest species obtained from GenBank (BLAST) with percent identity.

<p>This table is part of the paper intitled &quot;Comparison of Actinobacteria communities from human-impacted and pristine karst caves&quot;</p>

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

Cenote-Taker2 BLAST Databases

<p>Protein sequences formatted for BLAST searches. Used for taxonomy calling on viral and plasmid contigs.</p>

opencc-by-4.0Feb 2020View details →
zenodo36/100

Rockley Blast Furnace

Rockley Blast Furnace, Birdwell, South Yorkshire (UK). The furnace was built between 1698 and 1704, to make cast iron using locally mined ores and charcoal from the surrounding woodlands. The original ashlar stonework that formed the outer structure has been progressively robbed, leaving the core of the furnace structure visible. The furnace is owned by the South Yorkshire Industrial History Society . The model was created from 351 photographs. Source: Objaverse 1.0 / Sketchfab

opencc-byApr 2019View details →
zenodo36/100

Blast dataset for Vitis Vinifera Cultivars

Open the record for dataset details and reuse information.

opencc-by-4.0May 2024View details →
zenodo36/100

Measurement, self-similarity, and TNT equivalence of blasts from exploding wires

<p>This dataset contains raw overpressure time histories from blasts generated from exploding aluminum wires, recorded under controlled conditions at five energy levels and six standoff distances. The time histories, referenced in the accompanying study, provide detailed information about the shock wave profiles specific to aluminum-wire explosions.</p>

opencc-by-nc-1.0Nov 2024View details →
zenodo36/100

Sequence diversity in MAX effectors and other genes in 120 isolates of the rice blast fungus Magnaporthe oryzae

<p>- list_of_accessions_and_assembly_statistics.xlsx: list of 120 isolate and genome assembly statistics</p> <p>- assemblies.zip: genome assemblies with repeats were not masked</p> <p>- orthogroups.txt: list of orthogroups in orthogroups.zip</p> <p>-orthogroups.zip: sequences of orthogroups, as identified using Orthofinder. Sequences were aligned using translatorX (https://doi.org/10.1093/nar/gkq291)</p> <p>- single_copy_orthologs.zip: folder which contains aligned sequences of single-copy orthologs (alignment with translatorX&nbsp;https://doi.org/10.1093/nar/gkq291); three types of genes were distinguished: MAX effectors, other secreted proteins, and other genes;&nbsp;note that to produce this dataset, the 11 orthogroups that included paralogous copies of MAX effectors were split into sets of orthologous sequences using genealogies inferred using RAXML v8, yielding a total of 94 single-copy MAX orthologs; for each split orthogroup, sets of orthologous sequences were assigned a number that was added to the orthogroup&rsquo;s identifier as a suffix (for instance paralogous sequences of orthogroup OG0000244 were split into orthogroups OG0000244_1 and OG0000244_2)</p>

opencc-by-4.0Feb 2023View details →
ClinicalTrials.gov36/100

Dasatinib (BMS-354825) in Subjects With Myeloid Blast Phase Chronic Myeloid Leukemia Resistant to or Intolerant of Imatinib Mesylate

ClinicalTrials.gov study NCT00101816. IPD Sharing: Not stated. Countries: 20. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Metacognitive Training to Enhance Strategy Use in Blast-Related TBI

ClinicalTrials.gov study NCT00857207. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Efficacy and Safety of LBH589B in Adult Patients With Refractory Chronic Myeloid Leukemia in Accelerated or Blast Phase

ClinicalTrials.gov study NCT00449761. IPD Sharing: Not stated. Countries: 2. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Blast Exposed Veterans With Auditory Complaints

ClinicalTrials.gov study NCT02122458. IPD Sharing: YES. Countries: 1. Publications: 9.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Central Auditory Processing Disorders Associated With Blast Exposure

ClinicalTrials.gov study NCT00554801. IPD Sharing: Not stated. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad32/100

Blast output from: Lost in dead wood? Environmental DNA sequencing from dead wood shows little signs of saproxylic beetles

<p>eDNA metabarcoding has become a standard method for assessing wood-inhabiting fungi and bacteria, yet determination of dead-wood-inhabiting beetles still relies on time-consuming collection of beetle specimens. We thus tested whether beetle species can be identified by eDNA sequencing of wood in a mesocosm experiment that manipulated species assemblages. Dead wood samples were taken at exit holes of beetles and DNA was extracted and analyzed using two comparative methods: (i) metabarcoding with standard arthropod primers (421 bp) and (ii) using short species-specific primers (120-264 bp) with Sanger sequencing. Results showed that beetle DNA was amplified by each of the two approaches, however, with (i) we detected only one non-target saproxylic beetle species. In addition, we identified 80 different OTUs with four non-targeted species of arthropods. For (ii) we detected the targeted species in two fresh beetle exit holes out of 20 samples. We suggest that, in contrast to fungi and bacteria, this eDNA metabarcoding approach is not able to reliably detect saproxylic beetles from wood samples, likely due to rapid degradation of their target DNA. Adapting such an approach for large scale analyses thus requires a better knowledge of degradation processes affecting DNA quality and quantity in wood.</p>

opencc-zeroApr 2022View details →
zenodo32/100

Blast furnace filling plant Völklingen Ironworks

Die Völklinger Hütte ist ein 1873 gegründetes ehemaliges Eisenwerk in der saarländischen Stadt Völklingen. Es wurde 1986 stillgelegt. 1994 erhob die UNESCO die Roheisenerzeugung der Völklinger Hütte als erstes Industriedenkmal aus dem Zeitalter der Industrialisierung in den Rang eines Weltkulturerbes der Menschheit. Das Modell zeigt eine Befüllungsanlage eines der 6 Hochöfen. The Völklingen Ironworks is a former ironworks founded in 1873 in the Saarland town of Völklingen. It was shut down in 1986. In 1994, UNESCO elevated the Völklingen Ironworks' pig iron production to the rank of World Heritage Site of Humanity as the first industrial monument from the age of industrialization. The model shows a filling plant of one of the 6 blast furnaces. Source: Objaverse 1.0 / Sketchfab

opencc-by-nc-1.0Aug 2022View details →
zenodo32/100

WWII RAF Airfield Blast Shelter

One of the surviving RAF Airfield blast shelters from RAF Ibsley in the New Forest. The site is in dense woodland and we are working with the landowner to clear and conserve the strucutres. Due to the vegetation this before model has a few holes in, but was a quick test using a mobile phone. Source: Objaverse 1.0 / Sketchfab

opencc-by-nc-1.0Nov 2018View details →
zenodo32/100

Blasting Quarry Operations: Adverse And Cumulative Effects, Lawsuits And Complaints, And Suggested Remedies

<p>Breaking rock for road construction, installation of infrastructure or for extraction typically involves detonation of explosives. Any time explosives are detonated there are undesirable impacts on the environment and its inhabitants, which are always more severe in populated areas of significant human and non-human activity. The primary focus of this paper is on the impact that blasting quarry operations have on the environment and its inhabitants. A number of civil cases, investigations, published articles and press releases documenting the adverse and cumulative effects of blasting rock are presented, discussed and analyzed. The extensive number of documented cases and media reports of the adverse and cumulative effects of blasting quarry operations on the environment and its inhabitants shed light on the gas lighting strategy employed by the aggregate industry and their explosives engineers to alter the public&rsquo;s perception of reality by consistently and repeatedly claiming that blasting within regulatory limits cannot cause structural damage and that the vibrations felt from blasting are no more than a minor inconvenience. Gas lighting is a form of psychological manipulation in which the abusers, in this case the aggregate industry and its explosives engineers, attempt to sow self-doubt and confusion in the minds of their victims, and to mislead approval authorities and cause them to question their own judgment and intuition from a practical non-theoretical perspective. The research conducted supports reducing Peak Particle Velocity (PPV) to a maximum of 2 mm per second measured along the entire perimeter of a blasting quarry operation, combined with a permanent onsite 500-metre setback and offsite minimum separation distance of 1,000 metres from incompatible land uses to minimize damage from structural response to ground vibrations and airblast (concussion), and to eliminate or reduce substantially lawsuits and complaints from residents exposed to the adverse impacts of blasting. None of the&nbsp;<span>adverse effects&nbsp;</span>prohibited under the&nbsp;<span>Ontario&nbsp;</span>Environmental Protection Act are permitted to impact public or private third-party properties beyond the boundary of an existing or proposed blasting or non-blasting quarry operation.</p>

opencc-by-4.0Apr 2023View 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)

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.

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