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390 results for “maritime”
Maritime entities of geographic transportation network of Acclimate
<p>maritime_entities.csv: Centroids of maritime entities and coordination of ports used by geographic transportation network of Acclimate</p> <p>XYZ_coordinates.csv: Polygon coordinates of maritime entites XYZ of the East Asian maritime trading route. Used to compute time tropical cyclone passed by based on observed trajectories from IBTrACS [http://ibtracs.unca.edu/]</p>
The Piraeus AIS Dataset for Large-scale Maritime Data Analytics
<p><strong>AIS data collected by the University of Piraeus' AIS receiver</strong></p> <p> </p> <p><strong>Abstract</strong></p> <p>The advent of Big Data and streaming technologies has resulted in a swarm of voluminous, heterogeneous information, especially in the domains of Internet of Things (IoT) and transportation. Focusing on the maritime field, we present a dataset that contains vessel position information transmitted by vessels of different types and collected via the Automatic Identification System (AIS). The AIS dataset comes along with spatially and temporally correlated data about the vessels and the area of interest, including weather information. It covers a time span of over 2.5 years, from May 9<sup>th</sup>, 2017 to December 26<sup>th</sup>, 2019 and provides anonymised vessel positions within the wider area of the port of Piraeus (Greece), one of the busiest ports in Europe and worldwide. The dataset consists of over 244 million AIS records, an average of more than 10,000 records per hour, which makes it an ideal input for large-scale mobility data processing and analytics purposes.</p> <p> </p> <p><strong>Dataset related to the following publication</strong></p> <blockquote> <p>Andreas Tritsarolis, Yannis Kontoulis, Yannis Theodoridis, The Piraeus AIS dataset for large-scale maritime data analytics, Data in Brief, Volume 40, 2022, 107782, ISSN 2352-3409, <a href="https://doi.org/10.1016/j.dib.2021.107782">https://doi.org/10.1016/j.dib.2021.107782</a>.</p> </blockquote> <p> </p> <p><strong>Files Description</strong></p> <ul> </ul> <ul> <li><strong>ais_static</strong>: CSV flat files containing vessels' static information and their corresponding types</li> </ul> <ul> <li><strong>geodata</strong>: ESRI Shapefiles containing several geographic-related data (e.g. harbours, islands, etc.)</li> </ul> <ul> <li><strong>noaa_weather</strong>: ESRI Shapefiles containing weather forecast from GRIB files (as provided by NOAA)</li> </ul> <ul> <li><strong>unipi_ais_dynamic</strong>: CSV flat files containing AIS kinematic information </li> </ul> <ul> <li><strong>unipi_ais_dynamic_synopses</strong>: CSV flat files containing metadata (i.e. synopses) regarding vessels' AIS positions</li> </ul> <p> </p> <p><strong>Privacy Statement</strong></p> <p><strong>For privacy-related queries, please contact the authors</strong></p>
Arctic maritime cyclone distribution and trends in the ERA5
<p>This dataset supplements our paper published in the AMS Journal of Applied Meteorology and Climatology (JAMC) under the same title. The repository includes the cyclone tracks, the HST case study, and the delineation for different Arctic sea sections. For any questions, please contact Zihan Chen (via <a href="mailto:zihan_chen@alumni.brown.edu">zihan_chen@alumni.brown.edu</a>).</p>
Maritime routes and vessel tracklet dataset for vessel-to-route association
<p>With an ever-increasing number of vessels at sea, the modelling, analysis and visualisation of maritime traffic are of paramount importance to support the monitoring tasks of maritime stakeholders. Sensors have been developed in this respect to track vessels and capture the maritime traffic at the global scale. The Automatic Identification System (AIS) is transmitting maritime positional and nominative information at highest frequency rate, making it a valuable source for maritime traffic modelling. From an original AIS dataset covering the area of Brest, France, we extracted a set of 17 maritime routes, connecting ports in this area. Two different representations for the routes are provided: (1) clusters of AIS contacts, and (2) route prototypes, representing the nominal trajectory of the vessels following the route. Additionally, a set of tracklets (built by five consecutive AIS contacts from the same vessel trajectory) has been extracted from the set of routes and the original dataset, and labelled either with the route name to which they belong or as off-route tracklets. This dataset provides thus some ground truth on the routes followed by vessels and is aimed at testing and validating vessel-to-route or track-to-route association algorithms.</p>
Fig. 2 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 2: Flowchart of steps and methods followed (AHP: Analytic Hierarchy Process, FM: Fuzzy Membership).
Fig. 7 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 7: Spatial representation of the Fishing pressure index from the small scale coastal fishery (FPc).
Dataset: Globus Maritime Limited (GLBS) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Castor Maritime Inc. (CTRM) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: United Maritime Corporation (USEA) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Seanergy Maritime Holdings Corp. (SHIP) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Fig. 4 in Morphology and Molecular Phylogeny of the Soil Ciliate Anteholosticha rectangula sp. nov. from King George Island, Maritime Antarctica
Fig. 4. Majority consensus tree from Bayesian inference using nuclear SSU rDNA sequences. Anteholosticha rectangula is indicated in bold in the tree. Posterior probabilities of Bayesian inference (BI) and bootstrap values of maximum likelihood (ML) are presented on each interior branch. Dashes denote a value showing less than half of the full posterior probability or bootstrap value. Scale bar indicates two base substitutions per one hundred nucleotides.
Figs 3A–H in Morphology and Molecular Phylogeny of the Soil Ciliate Anteholosticha rectangula sp. nov. from King George Island, Maritime Antarctica
Figs 3A–H. Photomicrographs of Anteholosticha rectangula after protargol impregnation. A and B – holotype specimen, ventral (A) and dorsal (B) view, arrow denotes pretransverse cirrus; C – dorsal view showing dorsal kineties, arrows denote two dikinetids anterior of right marginal cirral row; D and E – ventral views of anterior body showing buccal, frontal, frontoterminal, and midventral cirri; F–H – ventral views showing variation of the nuclear apparatus. DK1–3 – dorsal kineties 1–3, FC – frontal cirri, FTC – frontoterminal cirri, Ma – macronuclear nodules, Mi – micronuclei. Scale bars: 50 μm.
Figs 2A–J in Morphology and Molecular Phylogeny of the Soil Ciliate Anteholosticha rectangula sp. nov. from King George Island, Maritime Antarctica
Figs 2A–J. Photomicrographs of Anteholosticha rectangula in vivo. A–C – representative individuals showing contractile vacuole (arrows) and ciliatures; D – nuclear apparatus, E–G – cortical granules in ventral (E) and dorsal (F, G) views; H–J – ventral views showing oral apparatus; arrows in I and J show buccal lip and buccal seal, respectively. CG – cortical granules, DB – dorsal bristles, Ma – macronuclear nodules, Mi – micronuclei, RMC – right marginal cirri, TC – transverse cirri. Scale bars: 100 μm (A, C, D), 5 μm (G), 10 μm (H, I).
Figs 1A–I in Morphology and Molecular Phylogeny of the Soil Ciliate Anteholosticha rectangula sp. nov. from King George Island, Maritime Antarctica
Figs 1A–I. Drawings of Anteholosticha rectangula in vivo (A, D–G, I) and after protargol impregnation (B, C, H). A – ventral view of a representative specimen; B and C – ventral and dorsal views of holotype, arrows show two dikinetids; D–G – cortical granules on dorsal (D, G) and ventral sides (E, F); H – nuclear apparatus, showing variation in number and morphology; I – contractile vacuole. CG – cortical granules, CV – contractile vacuole, DB – dorsal bristles, DK1–3 – dorsal kineties 1–3, FTC – frontoterminal cirri, Ma – macronuclear nodules, Mi – micronuclei, TC – transverse cirri. Scale bars: 50 μm.
Heterogeneous Integrated Dataset for Maritime Intelligence, Surveillance, and Reconnaissance
<p>Facing an increasing amount of movements at sea and daily impacts on ships, crew and our global ecosystem, many research centers, international organizations, industrials have favored and developed sensors, detection techniques for the monitoring, analysis and visualization of sea movements. Automatic Identification System (AIS) is one of these electronic systems that enable ships to broadcast their dynamic (position, speed, destination...) and static (name, type, international identifier…) information via radio communications.</p> <p>Having spatially and temporally aligned maritime dataset relying not only on ships' positions but also on a variety of complementary data sources is of great interest for the understanding of maritime activities and their impact on the environment.</p> <p>This dataset contains ships' information collected though the Automatic Identification System, integrated with a set of complementary data having spatial and temporal dimensions aligned. The dataset contains four categories of data: Navigation data, vessel-oriented data, geographic data, and environmental data. It covers a time span of six months, from October 1st, 2015 to March 31st, 2016 and provides ships positions within Celtic sea, the Channel and Bay of Biscay (France). The dataset is proposed with predefined integration and querying principles for relational databases. These rely on the widespread and free relational database management system PostgreSQL, with the adjunction of the PostGIS extension, for the treatment of all spatial features proposed in the dataset.</p>
Novel benzotriazole-nanomaterials for maritime applications: comparative anti-corrosion performance, environmental behavior, and hazard
<div>The present dataset contains chemical, characterization, and ecotoxicological data upon exposure of benzotriazole (BTA) in the soluble form and nanoforms (Mg-Al LDH-BTA and Zn-Al LDH-BTA). Chemical analyses data include the quantification of relevant anions (nitrites, nitrates, phosphates and chlorides, determined through High-Performance Liquid Chromatography) and target metals (Al, Mg and Zn) determined through Inductively Coupled Plasma Optical Emission Spectrometry). Characterization data include DLS (size) and zeta potential analysis. Ecotoxicological data includes acute and chronic endpoints determined in a wide-range of marine species.</div> <div> </div> <div> </div> <div> </div>
Linked collectors and determiners for: Records of Parochlus steinenii in the Maritime Antarctic and sub-Antarctic regions.
Natural history specimen data linked to collectors and determiners held within, "Records of Parochlus steinenii in the Maritime Antarctic and sub-Antarctic regions". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/30c49fbf-4e2e-482e-bb49-4d294bc332cb">https://bionomia.net/dataset/30c49fbf-4e2e-482e-bb49-4d294bc332cb</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/30c49fbf-4e2e-482e-bb49-4d294bc332cb">https://gbif.org/dataset/30c49fbf-4e2e-482e-bb49-4d294bc332cb</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Adventive Staphylinidae (Coleoptera) of the Maritime Provinces of Canada: further contributions.
Natural history specimen data linked to collectors and determiners held within, "Adventive Staphylinidae (Coleoptera) of the Maritime Provinces of Canada: further contributions". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/fa2a6380-86e0-4589-8cb9-2438a8ede5c7">https://bionomia.net/dataset/fa2a6380-86e0-4589-8cb9-2438a8ede5c7</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/fa2a6380-86e0-4589-8cb9-2438a8ede5c7">https://gbif.org/dataset/fa2a6380-86e0-4589-8cb9-2438a8ede5c7</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: New data on spiders (Aranei) from the Maritime Province, Russian Far East.
Natural history specimen data linked to collectors and determiners held within, "New data on spiders (Aranei) from the Maritime Province, Russian Far East". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/d4c93468-24c8-4e71-8992-e4e1aad3f674">https://bionomia.net/dataset/d4c93468-24c8-4e71-8992-e4e1aad3f674</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d4c93468-24c8-4e71-8992-e4e1aad3f674">https://gbif.org/dataset/d4c93468-24c8-4e71-8992-e4e1aad3f674</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Contribution to the knowledge of the Ichneumoninae (Hymenoptera, Ichneumonidae) from Maritime Southeast Asia.
Natural history specimen data linked to collectors and determiners held within, "Contribution to the knowledge of the Ichneumoninae (Hymenoptera, Ichneumonidae) from Maritime Southeast Asia". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/e836a0c5-0e07-4354-8089-87340376b33f">https://bionomia.net/dataset/e836a0c5-0e07-4354-8089-87340376b33f</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/e836a0c5-0e07-4354-8089-87340376b33f">https://gbif.org/dataset/e836a0c5-0e07-4354-8089-87340376b33f</a>. Formatted as a Frictionless Data package.
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.