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opencc-by-4.0Sep 2024View details →

Maritime chokepoint dependencies and systemic risks

Data supporting the paper 'Systemic impacts of disruptions at maritime chokepoints' by Verschuur and Hall (under review).  The data includes: -The country maritime trade dependency on these 24 chokepoints, derived from 2022 trade data.  -The final results for the 'expected value of trade disrupted' and 'economic risk' metrics.  -The code to re-run the analysis.

dryad36/100

Maritime international trade and bioinvasions: a three-year long survey of small mammals in Autonomous Port of Cotonou, Benin

<ol> <li>International trade has been favoring the dissemination of a wide panel of invasive alien species. Upstream prevention through the monitoring of entry points is identified as an appropriate strategy to achieve control of bioinvasions and their consequences. Maritime transports have been responsible for the introduction worldwide of exotic rodents that are major pests for crops and food stocks as well as reservoirs of many zoonotic pathogens. In order to limit further dissemination, the International Health Regulation constrains decision makers and socio-economic stakeholders to manage ship-mediated import/export of rodents within seaports. Unfortunately, eco-evolutionary insights into rodent introduction events that could guide preventive actions in seaports are very scarce.</li> <li>In order to bridge this gap, we here describe the results of a three-year-long survey of small mammals conducted in the Port of Cotonou, Benin, that aims at assessing the spatio-temporal distribution, diversity and relative abundance of invasive and native rodents.</li> <li>960 small mammal individuals were captured in nine within-seaport sites. We found (i) a marked predominance of invasive species (84% of the individuals belonging to Mus musculus, Rattus rattus, R. norvegicus), (ii) with native species (i.e., Mastomys natalensis and the shrew Crocidura olivieri) essentially restricted to peripheral non-industrial areas, as well as (iii) a fine-scale spatial segregation stable over time between the invasive Norway rats and house mice on the one hand, and the black rats and shrews on the other hand.</li> <li>Furthermore, trapping before and after two successive rodent anticoagulant-based control campaigns indicates that they were poorly efficient and that subsequent rodent recolonization occurs 6–12 months following intervention.</li> <li> Synthesis and applications: Our results are discussed in terms of ecological processes at play (e.g., interspecific interactions) and operational actions that may be implemented to improve rodent control (e.g., assessment of proper eradication units, environmental modifications) and to limit re-infestation (e.g., rat-proofing of moors and buildings).</li> </ol>

opencc-zeroNov 2023View details →

dryad36/100

Skua and plant dispersal: Lessons from the Argentine Islands - Kyiv Peninsula region in the maritime Antarctic

Birds are one of the most likely dispersal vectors for plants in Antarctica. We studied the nesting behavior of south polar skua (Catharacta maccormicki) and brown skua (Catharacta antarctica lonnbergi) to assess their potential role in ornithochory in the Argentine Islands - Kyiv Peninsula region. Nest samples were collected during 2009-2020 years in the Argentine Islands - Kyiv Peninsula region including all islands and coasts of the Graham Land from the Lemaire Channel to the islands of Berthelot Islands from north to south and extending from west to east from the Roca Islands, Cruls Islands, Rasmussen Point to the coast. We found that skuas utilize different nest building materials, including bryophytes, vascular plants (hairgrass Deschampsia antarctica), and lichens. In south polar skua nests, mosses and lichens dominate in the nest material; in brown skuas Deschampsia antarctica and mosses dominate. Both bird species likely collect nest components from nearby vegetation formations (<1 m distant). We conclude that C. maccormicki and C. antarctica lonnbergi are not selective in their choice of plant species, simply using the materials that dominate near the nest. Therefore, both species carry these materials from nearby sites, and only occasionally bring them from distant places. In conclusion, for both species we did not find any evidence to support their involvement in long-distance ornithochory (stomatochory) in the region.

opencc-zeroApr 2022View details →

opencc-by-4.0May 2022View details →

Linked Open Data for the maritime domain

Linked Data in this data set have been compiled from diverse data sources providing information about Trade and Transport locations, protected areas, surveillance data of vessels and vessel characteristics. Data have been transformed into triples according to the vesselAI ontology, using <a href="http://core.ac.uk/download/pdf/212138612.pdf">RDF-Gen</a> . All geometries are provided using <a href="http://www.opengis.net/ont/geosparql">OGC</a> terms. The vesselAI ontology documentation is available<a href="http://83.212.101.70/vesselAI_ontology.html"> here</a> . In a nutshell, this data set comprises data from the following sources: 1. AIS messages of moving objects retrieved from <a href="https://ais-public.kystverket.no/ais-download/">Norwegian Coastal Administration's SafeSeaNet</a> solution, combined with data provided by the <a href="http://web.ais.dk/aisdata/">Danish Maritime Authority</a>. Each record contains the coordinates of the vessel, a timestamp, an identifier for the vessel, its speed and heading. Typically, each vessel reports this information by sending an AIS message every few seconds. Each reported position is also annotated with the corresponding weather conditions according to Copernicus Climate Change Service (C3S) (files: reconstructed_traj.7z, ais202101_part1.7z, ais202101_part2.7z) . The weather variables currently considered as relative to the movement of vessels are: <ul> <li>    '10m_u_component_of_wind',</li> <li>    '10m_v_component_of_wind',</li> <li>    '2m_dewpoint_temperature',</li> <li>    '2m_temperature',</li> <li>    'mean_sea_level_pressure',</li> <li>    'mean_wave_direction',</li> <li>    'mean_wave_period',</li> <li>    'precipitation_type',</li> <li>    'sea_surface_temperature',</li> <li>    'total_precipitation'</li> </ul> 2. Vessel characteristics retrieved from online sources, combined with information about departure and destination seaports. United Nations Code for Trade and Transport Locations (UN/LOCODE), has been also used, to annotate the seaports with their longitude, latitude and Well Known Text (WKT) information, as well as features and facilities available according to online sources (files: vesselsCharacteristics.7z, worldPorts.7z ). 3. Regions of interest in the maritime domain include fishing areas, endangered species habitat areas, exclusive economic zones (EEZ), Natura2000 protected areas. In this snapshot we provide Natura2000 regions (file: natura2000.7z) as well as <a href="https://www.protectedplanet.net/en">World Protected Areas data set</a> (file: wdpa2022.ttl.7z ) Updates and additional data sets can be found <a href="http://83.212.101.70/vesselAI_ontology.html">here</a> . The surveillance and weather data in this data set, are for January 2021 and within the region defined by the degrees: #west: 2.53 #south: 51.50 #north: 60.50 #east: 17.50

Fig. 1 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. 1: Map of the study area.

opencc-by-4.0Mar 2024View details →

Occurrences of Maritime Phraseology in the Context of Brexit 2015-2022

This dataset is part of a BA/Leverhulme Small Research Grant entitled "A Sea of Opportunity" - The Maritime Dimension of Brexit Narratives (https://www.coventry.ac.uk/research/research-directories/current-projects/2023/a-sea-of-opportunity). This dataset maps occurrences of maritime phraseology using governmental, survey, and media archival sources between 2015 and 2022. It is useful for understanding how maritime phraseology helped shape narratives during the Brexit campaign, referendum result, and political aftermath. This is not an exhaustive list of maritime related terms; instead, it offers a snapshot of how pertinent the maritime dimension was in the context of Brexit. We draw on the following sources to compile the dataset: <ol> <li>House of Commons Hansard debates that focus specifically on Brexit from January 2015 to December 2022.</li> <li>The digital archives of The Guardian (remain) and The Daily Mail (leave) between 2016 and 2022.</li> <li>‘UK in a Changing Europe’ website. Extracting key maritime phraseology from 59 interviews with campaigners, politicians, civil servants and officials that were involved in the Brexit process. Interviews were carried out between 2020 and 2022.</li> <li>‘What UK Thinks’ repository run by NatCen Social Research, which provides survey and polling data.</li> </ol>

Fig. 6 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. 6: Scatterplot matrices for Large (A) and Linear (B) FM functions.

Fig. 8 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. 8: High values of the FP c index as estimated by Local Moran's I test.

Fig. 5 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. 5: Spatial representation of coastal vessels activity indexes (Ac).

Fig. 4 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. 4: Spatial representation of the Coastal fishery suitability index (Sc).

Fig. 3 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. 3: Spatial representation of the criteria ranking taken into account in MCDA.

opencc-by-4.0Feb 2019View details →

Contextual maritime data set (RDF triples)

This data set is the RDF conversion w.r.t. the datAcron ontology, of the contextual maritime data available at https://zenodo.org/record/1167595 . It has been generated by the RDF-Gen method on the data sets describing sea ports (World Port Index, Ports of Brittany, SeaDataNet fishing ports) and protected regions (fishing areas, fishing interdiction, Natura2000).

opencc-by-4.0Aug 2024View details →

Lithium Ion Battery Test Dataset for Maritime Transport INR18650-MJ1

INR18650-MJ1 test data obtained from cycling under conditions relevant for maritime transport applications.

opencc-by-4.0Oct 2024View details →

Global warming may turn ice-free areas of Maritime and Peninsular Antarctica into potential soil organic carbon sinks

<h2>Dear researchers and interested parties,</h2> We are excited to announce the publication of our recent research on Zenodo, presenting high-resolution (8 m) spatial models of soil organic carbon (SOC) stocks in ice-free areas of Maritime and Peninsular Antarctica. This research evaluates the potential impacts of climate change on SOC stocks under three Shared Socioeconomic Pathways (SSPs), providing a comprehensive understanding of the role these regions may play as carbon sinks in the face of intensified global warming. <h2>Available resources:</h2> <h3>SOC stock predictions:</h3> We provide detailed maps of SOC estimates and uncertainties for different soil depths across various IPCC Shared Socioeconomic Pathways, including mean values (Mg ha⁻¹) and coefficients of variation (%). All maps are available in "tif" format, using the South Pole Stereographic projection system (<a href="https://epsg.io/102021" target="_blank" rel="noopener">ESRI:102021</a>). Open-Source Code and Data: The entire analytical workflow, developed in R, is accessible through our <a href="https://github.com/moquedace/soc_stock_antarctica" target="_blank" rel="noopener">GitHub repository</a>, ensuring reproducibility and transparency. Additional methodological details are provided in our publication: Mello, D., Francelino, M. R., Moquedace, C. M., Baldi, C. G. O., Silva, L., Siqueira, R. G., Veloso, G. V., Fernandes-Filho, E. I., Thomazini, A., Demattê, J., Ferreira, T., Gomes, L. C., Senra, E., Schaefer, C. E. G. R. Global warming may turn ice-free areas of Maritime and Peninsular Antarctica into potential soil organic carbon sinks. Commun Earth Environ, v. 6, n. 1, p. 143, 2025. DOI: <a href="https://doi.org/10.1038/s43247-024-01937-z" target="_blank" rel="noopener">10.1038/s43247-024-01937-z</a> <h2>Availability objectives:</h2> <h3>Advancing scientific collaboration:</h3> We invite scientists, researchers, and organizations to explore our findings to support additional studies on soil carbon dynamics and climate change. <h3>Supporting environmental understanding:</h3> By providing open access to these models, we aim to contribute to global knowledge on Antarctic soil carbon dynamics and assist in formulating sustainable climate mitigation strategies. <h3>Fostering innovation:</h3> Sharing this data aims to stimulate advances in spatial modeling and SOC prediction methodologies, especially in high-latitude environments. <h2>We appreciate your interest and collaboration. We look forward to advancing knowledge and promoting sustainable solutions to essential environmental challenges together.</h2>

opencc-zeroMar 2015View details →

FIG. 1 in Habitat preferences of Papilio alexanor Esper, [1800]: implications for habitat management in the Italian Maritime Alps

FIG. 1. — Papilio alexanor Esper,[1800].Photograph:Davide Piccoli.

opencc-by-4.0May 2023View details →

Role of the Maritime Continent in the remote influence of Atlantic Niño on the Pacific

This repository provides the source data to generate the figures in this study.  For more details, please see: Liu, S., Chang, P., Wan, X., Richter I. et al. Role of the Maritime Continent in the remote influence of Atlantic Niño on the Pacific. Nat Commun (2023).   Within the zipped folder named Source Data, the relevant raw data from each figure (in the main manuscript and Supplementary Information) are represented by a single Excel document. The Readme.txt file provides a detailed description of the format of the raw data.   If there is any problem solving with the data, please contact with S.L. (liusiying@stu.ouc.edu.cn). Thank you!

Figure 6 in Metal-Age Maritime Culture at Jareng Bori Rockshelter, Pantar Island, Eastern Indonesia

Figure 6. Mollusc habitats (NISP) at Jareng Bori.

Figure 15 in Metal-Age Maritime Culture at Jareng Bori Rockshelter, Pantar Island, Eastern Indonesia

Figure 15. Ferrous metal artefact cf. knife from Jareng Bori.

Figure 5 in Metal-Age Maritime Culture at Jareng Bori Rockshelter, Pantar Island, Eastern Indonesia

Figure 5. Major mollusc taxa (NISP) at Jareng Bori.

Figure 12 in Metal-Age Maritime Culture at Jareng Bori Rockshelter, Pantar Island, Eastern Indonesia

Figure 12. Slipped sherds by spit at Jareng Bori.