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346 results for “ships”
Historic Ceramic Sherd - Tall Ship
This ceramic sherd was uncovered on Michigan State University's campus during the summer 2018 field season through a shovel test survey on the north bank of the Red Cedar River. It has the image of a tall ship on it through the process of transfer printing. This model was created by CAP Fellow Jack A. Biggs using photogrammetry and Agisoft PhotoScan. Source: Objaverse 1.0 / Sketchfab
Ship Timber Rotherhithe
Timber from a ship on the Thames foreshore near the Mayflower pub at Rotherhithe, London. This area was heavily used for the breaking up of ships. Date: 19th Century approx. Kindly suggested by Alan Murphy (Mudlark_thames_larker, Rothersman) who also helps with the in situ care of the timbers here. 332 photos taken in January 2020 with a Sony a6000 and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab
SHIP gut microbiome dataset for GP2 analysis
<p>The Study of Health in Pomerania (SHIP) is a population-based study. SHIP consists of the two independent cohorts: SHIP-START and SHIP-TREND. The aim of the study is the investigation of common risk factors, subclinical disorders and manifest diseases in the population of Northeast Germany. Determination of gut microbiota profiles using 16S rRNA gene sequencing was performed as described before in detail [1]. In brief, DNA was extracted from fecal samples stored in a DNA-stabilizing EDTA-buffer using the PSP Spin Stool DNA Kit (Stratec Biomedical AG, Birkenfeld, Germany) following the manufacturer's instructions and isolates were stored at -20 °C degrees until sequencing of the V1/V2 region of the bacterial 16S rRNA gene using the 27F and the 338R primers on a MiSeq platform (Illumina, San Diego, USA).</p> <p>[1] Frost, F., Kacprowski, T., Rühlemann, M., Bülow, R., Kühn, J.-P., Franke, A., Heinsen, F.-A., Pietzner, M., Nauck, M., Völker, U., Völzke, H., Aghdassi, A. A., Sendler, M., Mayerle, J., Weiss, F. U., Homuth, G., & Lerch, M. M. (2019). Impaired Exocrine Pancreatic Function Associates With Changes in Intestinal Microbiota Composition and Diversity. Gastroenterology, 156(4), 1010–1015. https://doi.org/10.1053/j.gastro.2018.10.047</p> <p> </p>
Impact of Marine Shipping Emissions on Ozone Pollution during the Warm Seasons in China
<ul> <li><strong>all.city.2017-01.nc: </strong>The hourly observations of six major air pollutants at 336 cities in China in 2017, including latitude and longitude information for these cities. These observations are provided by CNEMC.</li> <li><strong>china_CMAQ_appmap_no_gat.nc: </strong>The mask file for mainland China.</li> <li><strong>CMAQ_HCHO_VCDs.zip</strong>: Daily HCHO VCDs data calculated from CMAQ output and its calculation script.</li> <li><strong>conc_evaluation.zip</strong>: The code lists of the cities located in all coastal regions, BTH, YRD, and PRD region, respectively (<strong>XXXXXX_citycode.csv</strong>), the statistical results of MDA8 O3 and NO2 in these regions and corrsponding calulation scripts.</li> <li><strong>Data_era5.zip: </strong>All the ERA5 data used in the article (which have been extracted into nc files), including hourly meteorological parameters for Beijing-Tianjin-Hebei, the Yangtze River Delta, and the Pearl River Delta regions, respectively.</li> <li><strong>GRIDCRO2D_2017100100_d01:</strong></li> <li><strong>met_evaluation.zip: </strong>The information of the meteorological stations located in all coastal regions (<strong>MET_STATION_COASTAL.csv</strong>), The statistical results of T2, RH2, WS10 in these stations and corrsponding calulation scripts.</li> <li><strong>nest_vs_base_evaluation.zip: </strong>Statistical results of the simulation performance of the nested and basic experiments for April, containing mesh data for the nested inner domains, results for the models of the nested experiments, the scripts used to calculate the statistical results, and the results of the calculations.</li> <li><strong>OMIHCHOd_interpolate_data_control.nc: </strong>Daily HCHO VCDs data from OMHCHOd dataset spatially interpolated to have the same horizontal grid as the CMAQ results.</li> <li><strong>pattern_sa_polluted_clean.zip: type_stat_sa_newdef.ncl </strong>is to calculate ozone impacts of MSEs on polluted days and clean days under different weather patterns and the csv files are the results.</li> <li><strong>region_port_city.zip: </strong> The mask files for the three main regions, latitude/longitude for the 13 coastal port cities (<strong>port_city_lat_lon.csv</strong>), the results of seasonally averaged impacts of MSEs on ozone for the 3 regions and 13 cities (<strong>region_port_city_mda8o3_sa_rsa.csv</strong>), the ncl file with the same name is the script for the calculations.</li> <li><strong>sim_hourly_o3_no2_base.nc: </strong>The extracted data from the WRF-CMAQ results file, which includes modelled hourly surface ozone and NO2 concentrations for the simulation period.</li> <li><strong>sim_hourly_sa_o3_ocean_base.nc: </strong>The extracted data from the CMAQ-ISAM model simulation results and includes the hourly impact of marine shipping emissions of ozone obtained from the simulation.</li> <li><strong>T-PCA_BTH_YRD_PRD.zip: </strong>The daily weather pattern of Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD), and Pearl River Delta (PRD) regions obtained by the TPC-A method of classification, with 2 to 10 categories.</li> <li><strong>CJK_domain.ncl</strong> is used to produce the manuscript’s <strong>Figure 1</strong>.</li> <li><strong>sim_obs_dis_MDA8_uv_coastal.ncl </strong>is used to produce the manuscript’s <strong>Figure 2</strong>.</li> <li><strong>absolute_dis_MDA8h.ncl </strong>is used to produce the manuscript’s <strong>Figure 3</strong>.</li> <li><strong>region_city_o3_sa.ncl </strong>is used to produce the manuscript’s <strong>Figure 4</strong>.</li> <li><strong>type_mean_slp_o3_sa.ncl </strong>is used for the distribution maps in<strong> Figures 5, 6 and 7.</strong></li> <li><strong>bar_type_sa.ncl </strong>is used to produce of the bar charts in <strong>Figure 5</strong>, <strong>Figure 6</strong> and <strong>Figure 7</strong>, which were combined with the distribution maps obtained from <strong>type_mean_slp_o3_sa.ncl.</strong></li> <li><strong>cal_FDR_PCT.ncl </strong>is used to calculate the number of pairs of indistinguishable patterns obtained based on the FDR method for different number of classifications in the three regions (<strong>Figure S1</strong>).</li> <li><strong>OMI_xhcho.ncl </strong>is used to produce <strong>Figure S2</strong> in the Supplementary Materials.</li> <li><strong>MSEs_nox_voc_dis.ncl </strong>is used to produce <strong>Figure S3 </strong>in the Supplementary Materials.</li> <li><strong>relative_dis_DA8h.ncl </strong>is used to produce <strong>Figure S4</strong> in the Supplementary Materials.</li> <li><strong>region_city_o3_sa_rc.ncl </strong>is used to produce <strong>Figure S5</strong> in the Supplementary Materials.</li> <li><strong>type_mean_slp.ncl </strong>is used to produce <strong>Figure S6</strong> in the Supplementary Materials.</li> <li><strong>type_mean_met.ncl </strong>is used to produce <strong>Figures S7-S9</strong> in the Supplementary Materials, just replace the region name in this script.</li> <li><strong>stat_season_pattern.zip </strong>includes frequency of occurrence of the four synoptic patterns during three seasons, the ncl file is the script for the calculations, and the csv file is the output (<strong>Table S1</strong>).</li> </ul>
Data from: Sea ice choke points reduce the length of the shipping season in the Northwest Passage
<p>Arctic sea ice has shifted from a perennial (older, thicker ice) to a seasonal (younger, thinner) ice regime, leading to the increasingly common belief that shipping through Canada's Northwest Passage is becoming more viable. Here, we use the Risk Index Outcome values derived from the Polar Operational Limit Assessment Risk Indexing System and analyze recent changes to shipping season lengths along individual sections of the Northwest Passage routes from 2007 to 2021. Results show that multi-year ice flushed southward from high-latitude regions maintains the so-called choke points along certain route sections, reducing overall shipping season length. There is considerable spatiotemporal variability in shipping season lengths along the southern and northern routes. Specifically, parts of the northern route exhibit a decrease of up to 14 weeks over the 15 years. The variability of shipping season and, in particular, the shortening of the season will impact not only international shipping but also resupply and the cost of food in many Arctic communities, which require a prompt policy response.</p>
Ship Plume Dispersion in Marseille Port: A High-Resolution CFD Visualization
<p><strong><u>Description</u></strong></p> <p>This video visualizes the results of a high-resolution Computational Fluid Dynamics (CFD) model applied to study ship plume dispersion in the passenger port of Marseille, France. The video focuses on a scenario where a small cruise/pleasure ship docked at the port turns on its main engines in preparation for departure, considering seaborn prevailing wind conditions.</p> <p>The visualization concentrates on two areas. The first is the area around La Major Cathedral, which is close to the waterfront. The second is a street canyon approximately 650 meters downwind of the ship's location. Due to the local urban layout, the plume becomes entrapped within this distant street canyon. Here, the spatial distribution of pollutants can vary even between neighboring floors of a single building. Finally, a rendered video of the plume dispersion is presented, where the urban landscape is visualized to make the dispersion more comprehensible for non-technical and non-scientific audiences.</p> <p>This video was previously published on YouTube at the following link: <a href="https://www.youtube.com/watch?v=HwLFTj1D4LU&ab_channel=SCIPPERProject" target="_blank" rel="noopener">YouTube</a>. </p> <p>All data used to create this video were made available through the EU Horizon 2020 project <a href="https://www.scipper-project.eu/">SCIPPER</a>.</p> <p>The SCIPPER project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement <a href="https://doi.org/10.3030/814893">Nr. 814893</a>. </p>
Global shipping emissions for the years 2013 and 2016-2021
<p>The shipping emission datasets of the globe with 9<strong> </strong>species (NO<em><sub>x</sub></em>, CO, HC, SO<sub>2</sub>, PM<sub>2.5</sub>, CO<sub>2</sub>, N<sub>2</sub>O, CH4, and BC) with a spatial resolution of 0.1<sup>o</sup> × 0.1<sup>o</sup>, the temporal resolution of days for the years 2013 and 2016-2021 were established based on SEIM (Sipping Emission Inventory Model). Based on well-cleaned AIS (Automatic Identification System) data and STSD (Ship Technical Specifications Database), SEIM model can simulate ship emissions for every ship by every two subsequent AIS signals, which are typically only a few seconds or tens of seconds apart. For a detailed introduction to the SEIM, please refer to our previous articles: https://www.nature.com/articles/nclimate3091, https://acp.copernicus.org/articles/21/13835/2021/</p>
US Navy's Full Ship Shock Trial of 2021 (FSST2021)
<p>This dataset comprises underwater acoustic recordings of large underwater explosions from the US Navy’s Full Ship Shock Trial (FSST) conducted off the coast of Florida, USA in the summer of 2021. The FSST included three controlled detonations, and high-intensity sounds of the explosions were captured using underwater autonomous recording units.</p> <p>This dataset contains audio clips with calibrated waveforms of the explosion sounds received at various distances from the detonation locations.</p> <p>If you use the data in any published works, please cite the following article:</p> <blockquote> <p>S. Madhusudhana, K. D. Seger and H. Klinck, "Descriptor: U.S. Navy’s Full Ship Shock Trial of 2021 (FSST2021)," in <em>IEEE Data Descriptions</em>, vol. 1, pp. 66-70, 2024, doi: <a href="http://www.doi.org/10.1109/IEEEDATA.2024.3456710">10.1109/IEEEDATA.2024.3456710</a></p> </blockquote>
Data from: Change in singing behavior of humpback whales caused by shipping noise (Tsujii et al., 2018)
<p>Audio (.wav) and comma-delimited text format (.csv) files are contained. <br> This dataset was used in the study, which was submitted in 2018 to PLOS ONE for publication:</p> <p>Koki Tsujii, Tomonari Akamatsu, Ryosuke Okamoto, Kyoichi Mori, Yoko Mitani, Naoya Umeda.<br> Change in singing behavior of humpback whales caused by shipping noise.</p> <p>This dataset was obtained in the research activity of underwater noise project of the Japan Ship Technology Research Association in the fiscal years of 2016 funded by the Nippon Foundation.</p>
World War Two Merchant Navy ships lost and damaged
<p>This database of World War Two Merchant Navy Ships Lost and Damaged was researched by John A. Ross between 2001 and 2006. Ross was a former member of the Merchant Navy and an Armoury Information Centre volunteer. The data was entered by Auckland War Memorial Museum Tamaki Paenga Hira Armoury volunteers and staff. This database is a legacy product which was formerly displayed on the Auckland Museum website.</p>
Shipping alters the movement and behavior of Arctic cod (B. saida), a keystone forage fish in Arctic marine ecosystems
<p>Dataset for Ivanova et al. (2019): Shipping alters the movement and behavior of Arctic cod (B. saida), a keystone forage fish in Arctic marine ecosystems. Includes: arctic cod tagging metadata and vps locations files, and vessel activity in Resolute Bay, Nunavut, Canada for 2012. </p>
2017 AQABA Ship Track
<p>Ship Track of the Kommandor IONA during the AQABA ship campaign in 2017</p>
Wikidata Subsets of 6 Wikiproject (Gene Wiki, Taxonomy, Astronomy, Music, Law, Ships)
<p>This dataset contains the N-Triples files of 6 Wikidata subsets corresponding to 6 different Wikidata WikiProject extracted from October 2016 and June 2021 dumps. For each project, there are .nt.gz files containing RDF data. The projects are:</p> <ul> <li>Gene Wiki: There is a GeneWiki_2016.zip (extracted from the 2016 dump) and a GeneWiki_2021.zip (extracted from the 2021 dump), Each of which contains 25 .nt.gz files extracted by the WDumper tool.</li> <li>Astronomy: Astronomy_2016.nt.gz (extracted from the 2016 dump) and Astronomy_2021.nt.gz (extracted from the 2021 dump).</li> <li>Taxonomy: There is a Taxonomy_2016.zip (extracted from the 2016 dump) and a Taxonomy_2021.zip (extracted from the 2021 dump), Each of which contains two .nt.gz files.</li> <li>Law: Law_2016.nt.gz (extracted from the 2016 dump) and Law_2021.nt.gz (extracted from the 2021 dump).</li> <li>Music: Music_2016.nt.gz (extracted from the 2016 dump) and Music_2021.nt.gz (extracted from the 2021 dump).</li> <li>Ships: Ships_2016.nt.gz (extracted from the 2016 dump) and Ships_2021.nt.gz (extracted from the 2021 dump).</li> </ul> <p> </p> <ul> </ul>
Data Set: Renewable hydrogen fuels versus fossil fuels for trucking, shipping and aviation: A holistic cost model
<p>Data Set: Renewable hydrogen fuels versus fossil fuels for trucking, shipping and aviation: A holistic cost model</p>
Data for MILP algorithm for control strategy optimisation of a hybrid solar thermal plant consisting of two different solar fields working for two processes at different temperatures, a three tanks storage and a boiler for SHIP applications
<p>This repository contains the results of simulations exposed in the article <strong>MILP algorithm for control strategy optimisation of a hybrid solar thermal plant consisting of two different solar fields working for two processes at different temperatures, a three tanks storage and a boiler for SHIP applications.</strong></p> <p>Notebooks for easy plotting of the results are contained in this repository. The README.txt contains light explainations regarding how to use those notebooks.</p> <p>This article is yet to be published at the time of writing.</p> <p> </p>
Seawater velocities from ship acoustic Doppler current profiler during PolarFront 2022-05 cruise
<p>Seawater velocities captured by Ocean Surveyor ADCP, RD Instruments, were recorded (blanking distance 8 m, bottom track on) during our entire study from 18-26 May.</p>
Charlton Ship Timbers 8
Ship's timbers on the Thames foreshore at Charlton (near the Anchor & Hope Pub), London. http://www.thamesdiscovery.org/riverpedia/charlton-riverpedia Photos taken in April 2021 with a Sony a6000 and processed in Agisoft Metashape. Source: Objaverse 1.0 / Sketchfab
Viking ship - Knarr
The Knärr or Knorr is the best known and most widespread of the Norwegian cargo ships ("Kaupskip"). It was characterized by dimensions rather short in length compared to Langskips but the ratio length/width was much higher (1/4 or even 1/3). Draft was also higher, and most of these were decked. The Knärr was devoted to carry various trading goods like walrus ivory, wool, furs and pelts, armour, and weapons or even slaves but also honey, timber or wheat. source: https://www.naval-encyclopedia.com/medieval-ships/ Source: Objaverse 1.0 / Sketchfab
Ship Timber Rotherhithe
Timber from a ship on the Thames foreshore near the Mayflower pub at Rotherhithe, London. This area was heavily used for the breaking up of ships. Date: 19th Century approx. Kindly suggested by Alan Murphy (Mudlark_thames_larker, Rothersman) who also helps with the in situ care of the timbers here. 188 photos taken in January 2020 with a Sony a6000 and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab
Ship Windlass Rotherhithe
Windlass from a ship on the Thames foreshore near the Mayflower pub at Rotherhithe, London. This area was heavily used for the breaking up of ships. Date: 19th Century approx. Kindly suggested by Alan Murphy (Mudlark_thames_larker, Rothersman) who also helps with the in situ care of the timbers here. 310 photos taken in January 2020 with a Sony a6000 and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab
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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.