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.
346
datasets available to search
ShareScore release 0.9.0
Dataset results
346 results for “Ship”
Dataset from the Towing Tank Test of the B.I.O. Hespérides ship model, conducted at the CEHINAV Towing Tank, in the presence of simulated broken ice
<p>This data set presents a collection of measurements carried out at CEHINAV Towing Tank. The colletion includes several rar files described below:</p> <ul> <li><strong>Towing_test.rar</strong>: Raw data (ASCII files) containing the following information: <ul> <li>Time (Chanel 1)</li> <li>Velocity (Chanel 2)</li> <li>Resistance (Chanel 4)</li> <li>Laser position bow (Chanel 5)</li> <li>Laser position stern (Chanel 6)</li> <li>Laser position longitudinal (Chanel 7)</li> <li>Absolute carriage position (Chanel 8)</li> </ul> </li> <li><strong>Towed_self_propulsion</strong>: Raw data (ASCII files) containing the followig information: <ul> <li>Time (Chanel 1)</li> <li>Velocity (Chanel 2)</li> <li>RPM engine (Chanel 3)</li> <li>Resistance (Chanel 4)</li> <li>Laser position bow (Chanel 5)</li> <li>Laser position stern (Chanel 6)</li> <li>Laser position longitudinal (Chanel 7)</li> <li>Thrust (Chanel 8)</li> <li>Torque (Chanel 9)</li> <li>Absolute carriage position (Chanel 11)</li> </ul> </li> <li><strong>Figures_coverage</strong>: PNG files with images of block coverage tested and files containing the relative position during the test.</li> <li><strong>HESPERIDES_model.msd</strong>: Maxurf file with the geometry of the model tested.</li> </ul> <p> </p> <p>The tests were conducted in february and november of 2020.</p>
The ratio between the sea fog period and the total summer period and ship-bsead observation data
<p>The ratio between the sea fog period and the total summer period (Rsf)</p> <p>We use two methods to judge the sea fog in every year, one is RH (of 1000hPa) > 95% and TD ranging within 0-2 K, the other is CBH and TP to be <100 m and <0.25 mm, respectively, the qualifying times divided by the total time, which is the Rsf-K1 and Rsf-K2 of this data set.</p> <p>The spatial range is 55°S~80°S,-180°~180°,See lat.txt and lon.txt for specific latitude and longitude.</p> <p>We calculated the average annual ratio of sea fog for a total of 41 years (1979~2019).</p> <p>_____</p> <p>We uploaded ten years of ship-based observations, from the 30th (2013) to the 39th (2023) China Antarctic Research Expedition (CHINARE), have been taken on an ice-breaker and scientific research vessel, “Snow Dragon.” </p>
Outer Port of Punta Langosteira (Spain) ship movement dataset: 2015 - 2020
<p>This dataset contains the movements of 45 ships recorded in the Outer Port of Punta Langosteira (A Coruña, Spain) from 2015 until 2020.</p>
Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads. in Map of Guam
Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads.
MAP OF GUA:i\I Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads. in Map of Guam
MAP OF GUA:i\I Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads.
MAP OF GUAM Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads. in Map of Guam
MAP OF GUAM Guam is about 30 miles long and 4 to 8 miles wide. The portion of the island northeast of Agana, the capital, is a limestone plateau 200 to 300 feet in elevation. The docks are at Piti, and a channel 2 miles long extends to the ship anchorage in the outer part of Apra Harbor. Heavy lines on the map are automobile roads, broken lines are trails, and heavy broken lines are poor roads.
Wikidata 3 Topical Subsets (Gene Wiki, Music, Ships) and 4 Random Subsets
<p>This dataset contains the N-Triples files of 3 Wikidata topical subsets corresponding to 3 Wikidata WikiProject: Gene Wiki, Music, and Ships along with 4 random subsets in different sizes: two of 100K items, one 500K items, and one 1M items. Subsets are extracted from the <a href="https://academictorrents.com/details/229cfeb2331ad43d4706efd435f6d78f40a3c438">3 January 2022 dump</a>. All subsets have been extracted with <a href="https://github.com/seyedahbr/wdumper">WDumper</a> using these <a href="https://github.com/seyedahbr/RQSS_Evaluation/tree/main/WDumper%20Specification%20Files">JSON specification files</a>. The files are:</p> <ul> <li>GeneWiki.zip: contains 25 `.nt.gz` RDF files each of which corresponds to one of the main Gene Wiki WikiProject classes, e.g. protein, gene, chemical compound, etc.</li> <li>music.nt.gz: the RDF file corresponding to the Music WikiProject.</li> <li>ships.nt.gz: the RDF file corresponding to the Ships WikiProject.</li> <li>Random100K_1.zip: contains 2 `nt.gz` RDF files each of which includes (about) 50,000 random Wikidata items, 100,000 items in total.</li> <li>Random100K_2.zip: contains 2 `nt.gz` RDF files each of which includes (about) 50,000 random Wikidata items, 100,000 items in total.</li> <li>Random500K.zip: contains 10 `nt.gz` RDF files each of which includes (about) 50,000 random Wikidata items, 500,000 items in total.</li> <li>Random1M.zip: contains 20 `nt.gz` RDF files each of which includes (about) 50,000 random Wikidata items, 1,000,000 items in total.</li> </ul> <p> </p>
Output files of the RQSS extractor and framework on 3 Topical (Gene Wiki, Music, Ships) subsets and 4 Random Subsets
<p>This dataset contains the `.csv` output files of the Referencing Quality Scoring System - RQSS performed on 3 topical subsets (Gene Wiki, Music, Ships) and 4 random subsets. Subset RDF files are in <a href="https://doi.org/10.5281/zenodo.7332161">this dataset</a>.</p>
Data for Measurement report: Air pollution emission factors of inland river ships under compliance with the 10 parts per million limit for sulfur content in fuel
<p>Since July 1, 2019, China’s domestic diesel fuel has been limited to 10 ppm of sulfur. Hence, to explore the applicability of the “sniffer” method and the distribution and level of inland river ships (IRSs) emission factors (EFs) under this limitation, we installed “sniffer” monitoring equipment, from August 2020 to June 2022, at the Gezhou Dam of the Yangtze River in China and monitored emissions from 8,238 IRSs in total passing through the lock. We partnered with the maritime department to select 100 ships passing through the lock to extract fuel oilsamples for direct fuel sulfur content detection, which determined the true fuel sulfur content of the passing ships. fuel sulfur content.</p> <p>The “sniffer” monitoring equipment included SO<sub>2</sub>, CO<sub>2</sub>, NO, and NO<sub>2</sub> gas sensors, PM<sub>2.5</sub> and PM<sub>10</sub> particulate matter sensors, as well as wind speed, wind direction, temperature, humidity, and pressure sensors.</p>
Stowaways Supplement S6. Relative Size Index (RSI) Comparative Dataset & R Code for Mediterranean Ship Rats
<p>Relative size index (RSI) comparative dataset and R code used to compare the RSI <em>sensu </em>Lomolino (1985) of the ship rats from the Ma'agan Mikhael B (MMB) shipwreck with other Mediterranean island populations. </p> <p>Worksheet 1: RSI_Dataframe - data frame used in R to produce RSI bar chart.</p> <p>Worksheet 2: RSI Data - Mainland and island samples' mean condylobasal lengths (CBL) and further calculations used to derive the RSI values per island population.</p> <p>Worksheet 3: CBL values for each Provençal and Corso-Sardinian Islet that was combined in the RSI analysis, taken directly from Granjon & Cheylan (1990).</p> <p>Data sources:</p> <p>MMB - Southern Levant (this study)</p> <p>Galite & Zembra Islands - Tunisia (Ibrahim et al., 2017)</p> <p>Congreso Island - Morocco (Ventura & Lopez Fuster, 2000)</p> <p>São Miguel & Terceira Island (Azores) - Portugal (Ramalhinho et al., 1996)</p> <p>Corsica & Provençal Islets - Provence (Granjon & Cheylan, 1990)</p> <p>Sardinia & Corso-Sardinian Islets - Tuscany (Granjon & Cheylan, 1990)</p>
Underlying data of Impact of shipping temperature on cell viability and T cell responses to bacterial antigens
<p><strong>Abstract</strong></p> <p><strong>Background: </strong>Interferon-γ (IFN-γ) secretion by T cells is a key correlate of immune protection against many pathogens including tuberculosis and the neglected tropical disease melioidosis. Clinical studies in tropical regions of immune responses to pathogens and vaccine monitoring studies require the collection of samples in resource-limited rural areas and subsequent shipment to central laboratories for downstream assays and long-term storage. Here, we studied the impact of two different shipping temperatures on the viability, composition and function of peripheral blood mononuclear cells (PBMC) using multi-colour flow cytometry and IFN-g enzyme-linked immunospot assay (IFN-g ELISpot), in order to provide guidance on sample shipment conditions for future clinical studies.</p> <p><strong>Methods</strong>: Paired peripheral blood mononuclear cell (PBMC) samples from recovered melioidosis patients were stored in liquid nitrogen (-196°C) and then shipped from Bangkok, Thailand to Oxford, UK at either -80°C (dry ice) or -196°C (dry shipper). After thawing, cell viability and composition were assessed by flow cytometry and antigen specific responses to <em>Burkholderia pseudomallei</em> (BP) were measured using IFN-g ELISpot.</p> <p><strong>Results</strong>: We observed modest lowering of viability in the majority of samples and a reduction in IFN-g responses to BP which correlated to a decrease of monocytes and NK cells in samples shipped at -80°C compared to -196°C. Despite being lower in magnitude antigen-specific responses remained detectable in the majority of samples.</p> <p><strong>Conclusions:</strong>Here we demonstrate that shipment of cryopreserved PBMC at -196°C has a benefit on cell viability, recovery and T cell responses to bacterial antigens, although useful information can still be obtained from samples shipped at -80°C, thus providing important guidance for sample management in future clinical trials.</p>
NOBEL-BOX: A Ship-Based Low-Cost Instrument for Real-Time Ocean Monitoring and Analysis
<p>This data is the measurement result obtained from the NOBEL-BOX instrument. The principle of NOBEL-BOX is to attach sensors in a container connected to a microcontroller and then measure directly. This data results from measurements using fresh water and sea water mixed to see the response from NOBEL BOX. Furthermore, data was also obtained from sea measurements in Pangandaran, West Java, Indonesia. These measurements include pH, water and water temperature, dissolved oxygen, TDS, and salinity. The use of this parameter is to see the condition of the sea so that it becomes a reference in mitigating and managing the ocean.</p>
Data for: Multi-campaign ship and aircraft observations of marine cloud condensation nuclei, and droplet concentrations
<p class="MsoNormal"><span>In-situ marine cloud droplet number concentrations (CDNCs), cloud condensation nuclei (CCN), and CCN proxies, based on particle sizes and optical properties, are accumulated from seven field campaigns, ACTIVATE, NAAMES, CAMP2EX, ORACLES, SOCRATES, MARCUS, and CAPRICORN2. Each campaign involves aircraft measurements, ship-based measurements, or both. Measurements are collected over the North and Central Atlantic, Indo-Pacific, and Southern Oceans, representing a range of clean to polluted conditions in various climate regimes. With the large range of environmental conditions sampled, this collection of data is ideal for testing satellite remote detection methods of CDNC and CCN in marine environment. Remote measurement methods are key to expanding the available data, in these difficult to reach regions of the Earth, and improving our understanding of aerosol-cloud interactions. Additional particle composition and continental tracers are included to identify potential contributing CCN source. Several of these campaigns, include both High Spectral Resolution Lidar and polarimetric imaging measurements that will be the basis for the next generation of space-based remote sensors and, thus, can be utilized as satellite surrogates.</span></p>
Data on transit history and anti-fouling practices for ships arriving to the Canadian Arctic
Open the record for dataset details and reuse information.
Data for: Multi-campaign ship and aircraft observations of marine cloud condensation nuclei, and droplet concentrations
Open the record for dataset details and reuse information.
Sensor data from three different fishing ships for a period of one month
<p>The purpose of the data is to analyse data produced by fishing ships in order to reduce fuel consumption. The data has been used in WP3 of DataBio project. Data were processed and supplied by the VTT and UPV/EHU DataBio project team.</p>
Equivalent Black Carbon Emission Factors from Ships Within a Sulfur Emission Control Area
<p>Equivalent black carbon (eBC) emission factors, for ship plumes sampled in the Port of Gothenburg during two measurement campaigns in autumn 2014 and autumn 2015 respectively. </p> <p>Measurement site coordinates: N57.6849, E11.838</p> <p>Equivalent black carbon measured with a Multi Angle Absorption Photometer (MAAP, Thermo Fisher Scientific), wavelength 637 nm. CO2 sampled with a non-dispersive infrared gas analyzer (LI840, LI-COR).</p> <p>Unit (EF_BC): ug (kg fuel)^-1</p> <p>File creator: Stina Ausmeel<br> Contact e-mail: stina.ausmeel@nuclear.lu.se</p>
Raw stable water isotope measurements in water vapour at 8 m a.s.l. on the starboard side of the ship, made in the austral summer of 2016/2017 during the Antarctic Circumnavigation Expedition (ACE).
<p><strong>Dataset abstract</strong></p> <p>This dataset includes the raw data of stable water vapour isotope (δ18O, δ2H, deuterium excess) and water vapour mixing ratio measurements at a height of approximately 8 meters above sea level taken in the Southern Ocean during the Antarctic Circumnavigation Expedition (ACE) from November 2016 to April 2017 using a Picarro laser spectrometer L2130-i mounted on the starboard side of the ship. L2130-i was operated only during two months in February and March 2017 from Hobart (Australia) to Cape Town (South Africa). This data has to be calibrated using the calibration runs and applying an appropriate calibration procedure following the IAEA guide lines.</p> <p>Two similar datasets also measuring stable water isotopes (SWIs) in water vapour were collected during the same expedition and can be distinguished from this dataset due to the height of the measurement collection (at 8 m a.s.l and 13.5 m a.s.l). The three ACE datasets of SWIs in water vapour are described and compared in Thurnherr et al. (2020).</p> <p><strong>Dataset contents</strong></p> <ul> <li>leg*/HIDS2018-yyyymmdd-hhmmssZ-DataLog_User.dat, data file, comma-separated values</li> <li>data_file_header.txt, metadata, text format</li> <li>README.txt, metadata, text format</li> </ul> <p><strong>Dataset license</strong></p> <p>This raw stable water isotope measurements dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full description can be found at https://creativecommons.org/licenses/by/4.0</p>
Calibrated data of stable water isotope measurements in water vapour at 8 m a.s.l. on the port side of the ship, made in the austral summer of 2016/2017 around the Southern Ocean during the Antarctic Circumnavigation Expedition.
<p><strong>Dataset abstract</strong></p> <p>This data set includes the calibrated data of stable water vapour isotope (δ18O, δ2H, deuterium excess) and water vapour mixing ratio measurements at approximately 8 m a.s.l. on the port of the ship, taken around the Southern Ocean during the Antarctic Circumnavigation Expedition (ACE) from November 2016 to April 2017 using a Picarro laser spectrometers L2120. The data provide continuous timelines of atmospheric water vapour properties in the marine boundary layer for studies of the atmospheric water cycle.</p> <p>The raw data from which this calibrated dataset originates has been published separately (Kozachek, 2020; DOI 10.5281/zenodo.3667535).</p> <p>Two other calibrated stable water isotope measurement datasets were also collected during ACE. They differ by the location of measurement on the ship: 8 m a.s.l on the starboard side (DOI: 10.5281/zenodo.3739335) and 13.5 m a.s.l (DOI: 10.5281/zenodo.3250790).</p> <p><strong>Dataset contents</strong></p> <p>Measurements on portside:</p> <ul> <li>ACE_watervapour_isotopes_SWI8-ps_1h.csv, data file, comma-separated values</li> <li>ACE_watervapour_isotopes_SWI8-ps_5min.csv, data file, comma-separated values</li> <li>cal_runs_SWI8-ps.csv, metadata, comma-separated values</li> <li>cal_flag_times_SWI8-ps.csv, metadata, comma-separated values</li> <li>data_file_header.txt, metadata, text format</li> <li>README.txt, metadata, text format</li> </ul> <p>NaN values denote missing values which occur because of e.g., maintenance, instrument calibration, large cavity variations.</p> <p><strong>Dataset license</strong></p> <p>This calibrated stable water isotope measurements in water vapour is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/</p>
Shipping Container Chassis in the U.S.
<p>The University of New Orleans Transportation Institute (UNOTI) examined the issues surrounding the current state of international chassis utilization in the United States (U.S.). The international chassis system in the U.S. is unique compared to global chassis utilization where the motor carriers, the freight customers, or off-site terminals provide chassis. However in the U.S., the divestment of international chassis by ocean carriers, which began in 2009, resulted in three major international chassis leasing companies linked to the foreign carriers. These lessors are the American shippers’ predominant provider of international chassis. The extra cost associated with the lack of international chassis lessor competition profits the foreign ocean carrier lines while raising costs for domestic consumers.</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.