No description is available. Visit https://dataone.org/datasets/%7BA13662A2-C520-4C15-AC73-D6E6C20485AA%7D for complete metadata about this dataset.

Synthetic Aperture Radar (SAR), renowned for its all-weather monitoring capability and high-resolution imaging characteristics, plays a pivotal role in ocean resource exploration, environmental surveillance, and maritime security. It has become a fundamental technological support in marine science research and maritime management. However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. To address these challenges, this paper proposes AC-YOLO, a novel lightweight SAR ship detection model based on YOLO11. Specifically, we design a lightweight cross-scale feature fusion module that adaptively fuses multi-scale feature information, enhancing small target detection while reducing model complexity. Additionally, we construct a hybrid attention enhancement module, integrating convolutional operations with a self-attention mechanism to improve feature discrimination without compromising computational efficiency. Furthermore, we propose an optimized bounding box regression loss function, the Minimum Point Distance Intersection over the Union (MPDIoU), which establishes multi-dimensional geometric metrics to accurately characterize discrepancies in overlap area, center distance, and scale variation between predicted and ground truth boxes. Experimental results demonstrate that, compared with the baseline YOLO11 model, AC-YOLO reduces parameter count by 30.0% and computational load by 15.6% on the SSDD dataset, with an average precision (AP) improvement of 1.2%; on the HRSID dataset, the AP increases by 1.5%. This model effectively reconciles the trade-off between complexity and detection accuracy, providing a feasible solution for deployment on edge computing platforms. The source code for the AC-YOLO model is available at: https://github.com/He-ship-sar/ACYOLO.

EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and litter. The chosen parameters are relevant for the Marine Strategy Framework Directive (MSFD), in particular for descriptors 5, 8, 9 and 10. The dataset contains standardized, harmonized and validated data collections from beach litter (monitoring and other sources). Datasets concerning beach and seafloor litter data are loaded in a central database after a semi-automated validation phase. Once loaded, a data assessment is performed in order to check data consistency and potential errors are corrected thanks to a feedback loop with data originators. For beach litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on beach litter, including monitoring data, data from cleaning surveys and data from research. A relevant part of the monitoring data has been considered for assessment purposes by the European institutions and therefore is tagged as MSFD_monitoring. EMODnet beach litter data and databases are hosted and maintained by 'Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)' from Italy. Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: https://doi.org/10.6092/15c0d34c-a01a-4091-91ac-7c4f561ab508. The updated vocabularies of admitted values are available in https://nodc.ogs.it/marinelitter/vocab. The harmonized datasets can be downloaded as EMODnet Beach litter data format Version 7.0, which is a spreadsheet file composed of 4 sheets: beach metadata, survey metadata, animals and litter.

Synthetic Aperture Radar (SAR), renowned for its all-weather monitoring capability and high-resolution imaging characteristics, plays a pivotal role in ocean resource exploration, environmental surveillance, and maritime security. It has become a fundamental technological support in marine science research and maritime management. However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. To address these challenges, this paper proposes AC-YOLO, a novel lightweight SAR ship detection model based on YOLO11. Specifically, we design a lightweight cross-scale feature fusion module that adaptively fuses multi-scale feature information, enhancing small target detection while reducing model complexity. Additionally, we construct a hybrid attention enhancement module, integrating convolutional operations with a self-attention mechanism to improve feature discrimination without compromising computational efficiency. Furthermore, we propose an optimized bounding box regression loss function, the Minimum Point Distance Intersection over the Union (MPDIoU), which establishes multi-dimensional geometric metrics to accurately characterize discrepancies in overlap area, center distance, and scale variation between predicted and ground truth boxes. Experimental results demonstrate that, compared with the baseline YOLO11 model, AC-YOLO reduces parameter count by 30.0% and computational load by 15.6% on the SSDD dataset, with an average precision (AP) improvement of 1.2%; on the HRSID dataset, the AP increases by 1.5%. This model effectively reconciles the trade-off between complexity and detection accuracy, providing a feasible solution for deployment on edge computing platforms. The source code for the AC-YOLO model is available at: https://github.com/He-ship-sar/ACYOLO.

Ocean Echo Sounder Market Overview:

The Ocean Echo Sounder Market Size was valued at 2,480 USD Million in 2024. The Ocean Echo Sounder Market is expected to grow from 2,640 USD Million in 2025 to 5 USD Billion by 2035. The Ocean Echo Sounder Market CAGR (growth rate) is expected to be around 6.6% during the forecast period (2025 - 2035).Key Ocean Echo Sounder Market Trends Highlighted

The Global Ocean Echo Sounder Market is experiencing significant trends driven primarily by the growing need for sustainable marine resource management and oceanographic research. Key market drivers include increased government initiatives aiming to enhance maritime safety, environmental monitoring, and resource exploration. Global entities are investing in advanced technologies to support navigation, fisheries management, and naval operations, contributing to an expanding demand for sophisticated echo sounder systems. Moreover, the rise in underwater surveys and mapping activities, especially in the context of ocean conservation and climate change research, underlines the importance of accurate data collection. Opportunities to be explored in the global market include the development of smart echo sounders equipped with artificial intelligence and machine learning capabilities, enhancing data analysis efficiency and accuracy. The integration of these technologies facilitates automation and can provide real-time insights, which are increasingly essential in various maritime industries. In recent times, there has been a notable emphasis on innovation in underwater acoustic technologies, as manufacturers are focused on producing more energy-efficient, compact, and versatile echo sounders. This aligns with global initiatives aimed at reducing environmental impacts while optimizing ocean exploration practices.Additionally, as nations collectively address concerns regarding marine health, there's an uptick in partnerships between governments and private sectors aimed at promoting the adoption of advanced oceanographic tools, reinforcing the trend toward collaborative marine science advancements. Thus, the evolving landscape of the Global Ocean Echo Sounder Market aligns with broader global objectives toward sustainable ocean use and improved technological capabilities.

Source: Primary Research, Secondary Research, WGR Database and Analyst Review Ocean Echo Sounder Market Segment Insights: Ocean Echo Sounder Market Regional Insights

The Global Ocean Echo Sounder Market showcases varied regional dynamics, with North America holding a significant position, valued at 1,050 USD Million in 2024 and projected to reach 2,000 USD Million in 2035. This region dominates the market due to robust technological advancements and substantial investments in marine research and exploration. Europe also displays steady expansion, supported by increasing governmental initiatives in maritime safety and environmental monitoring. The APAC region demonstrates a moderate increase, driven by growing demand for navigation and fishing technologies, emphasizing the importance of efficient ocean management.Conversely, South America and the MEA regions are experiencing gradual declines, although there's potential for future growth driven by increased awareness of marine sustainability. Overall, these trends highlight the diverse growth trajectories across regions in the Global Ocean Echo Sounder Market, shaped by varying needs for maritime technology and infrastructure development.

Source: Primary Research, Secondary Research, WGR Database and Analyst Review

North America: The North American Ocean Echo Sounder Market is driven by advancements in smart manufacturing and increasing adoption of AIoT technologies. The region benefits from significant investments in marine technology, alongside supportive policies like the Ocean Protection Initiative, which enhances surveillance capabilities for environmental monitoring. The sector is seeing growth in applications within the automotive and industrial sectors. Europe: Europe's Ocean Echo Sounder Market emphasizes sustainable fishing and maritime safety, spurred by regulations such as the European Marine Strategy Framework Directive. Rising demand from sectors like transportation and urban surveillance is driving innovation. The region's commitment to smart manufacturing also fosters advancements in echo sounder technology. Asia: The Asia-Pacific Ocean Echo Sounder Market is rapidly expanding due to increasing commercial fishing activities and marine exploration. Government policies promoting sustainable practices in maritime industries fuel adoption of smart technologies. Additionally, urbanization trends drive demand for enhanced surveillance systems in coastal areas, supporting broader industrial growth.Ocean Echo Sounder Market By Technology Insights

The Technology segment of the Global Ocean Echo Sounder Market is poised for considerable advancements, reflecting the growing emphasis on marine exploration and mapping. The Single Beam category dominates with a valuation of 900 USD Million in 2024, projected to rise significantly to 1,700 USD Million by 2035. This segment is crucial for various applications, including navigation and fishing, where depth measurements are essential. The Multi Beam category shows strong growth, driven by its ability to capture more detailed underwater topographies compared to traditional methods, making it vital for hydrographic surveying and seabed mapping.Similarly, the Side Scan segment is experiencing steady expansion, owing to its effectiveness in underwater inspections and environmental monitoring. As technology continues to evolve, the demand for detailed imaging and accurate data in oceanographic studies is expected to enhance the Global Ocean Echo Sounder Market's segmentation, offering numerous opportunities for advancements and innovation. Factors such as increasing maritime activities, the need for sustainable resource management, and government initiatives to enhance marine research contribute to the overall market growth and the significance of each segment.With global trends leaning towards enhanced underwater exploration tools, robust technologies in the Echo Sounder Market will play an essential role in meeting the needs of industries reliant on accurate subaqueous data.

Source: Primary Research, Secondary Research, WGR Database and Analyst ReviewOcean Echo Sounder Market Application Insights

The Application segment of the Global Ocean Echo Sounder Market encompasses several critical areas, each contributing uniquely to the industry's development. Marine Research stands out as a significant segment due to its pivotal role in advancing our understanding of oceanic ecosystems and dynamics. Fisheries Management is experiencing strong growth as the demand for sustainable fishing practices increases, thereby necessitating accurate data on fish populations and habitats. Meanwhile, Marine Construction exhibits steady expansion, driven by ongoing infrastructure projects and the need to ensure safe construction practices in marine environments.Environmental Monitoring is gaining prominence as heightened awareness of marine conservation fuels initiatives to track environmental changes, ensuring compliance with regulatory standards. Collectively, these applications underscore the importance of ocean echo sounders in various sectors as they tackle challenges and capitalize on opportunities for sustainable marine resource management and conservation. Ocean Echo Sounder Market End Use Insights

The End Use segment of the Global Ocean Echo Sounder Market showcases a diverse array of applications categorized primarily into Commercial, Government, and Research Institutions. The Commercial sector witnessed robust expansion, driven by increasing demand for sustainable fishing practices and marine resource management. This sector significantly contributes to the overall Global Ocean Echo Sounder Market revenue, reflecting its importance in enhancing operational efficiency within marine industries. The Government segment has been experiencing steady growth as various governmental bodies increasingly allocate resources toward maritime surveillance and environmental protection.Research Institutions play a crucial role in advancing marine science, with a moderate increase in funding supporting innovative research activities, such as ecosystem monitoring and underwater exploration. The collaboration between these sectors not only fosters advancements in technology but also addresses essential maritime issues, ultimately enhancing marine safety and conservation efforts. As environmental concerns rise globally, the significance of these sectors in the Global Ocean Echo Sounder Market continues to strengthen.

Ocean Echo Sounder Market By Deployment Type InsightsThe Deployment Type segment of the Global Ocean Echo Sounder Market showcases a diverse array of options, each playing a crucial role in maritime applications. The Fixed deployment type has emerged as a major player in the market, known for its reliability and comprehensive monitoring capabilities in dedicated areas. In contrast, the Portable and Towed types are witnessing strong growth, catering to varying needs of flexibility and mobility. Portable echo sounders are often favored for their adaptability, allowing ease of transportation for both research and recreational purposes.Towed echo sounders provide significant advantages in covering large areas efficiently, making them vital for extensive marine surveys. Overall, the market witnesses a dynamic landscape fueled by advancements in technology, increasing investments in marine exploration, and a growing emphasis on environmental monitoring, positioning these deployment types as essential assets in the enhancement of oceanographic studies.

Ocean Echo Sounder Market Key Players and Competitive Insights: The

Physical and other data were collected from bottle and XBT casts from the AGS NO 2 and other platforms from the NW Pacific (limit-180). Data were collected by the Fisheries Agency of Japan (JFA) and other institutions from 07 January 1967 to 02 March 1984. Data were processed by NODC to the NODC standard Station Data II Output Format (SD2) and the Universal Bathythermograph Output Format (UBT). Full format descriptions are available from NODC at www.nodc.noaa.gov/.

The SD2 file format is used for physical-chemical oceanographic data recorded at discrete depth levels. Most of the observations were made using multi- bottle Nansen casts or other types of water samplers. A small amount (about 5%), were obtained using electronic CTD (conductivity-temperature-depth) or STD (salinity-temperature-depth) recorders. The CTD/STD data were reported to NODC at depth levels equivalent to Nansen cast data, however, and have been processed and stored the same as the Nansen data. Cruise information, position, date and time are reported for each station. Each station contains the measurements taken at observed depth levels, but also includes data values interpolated to a set of standard depth levels.

The UBT format contains temperature-depth profile data obtained using expendable bathythermograph (XBT) instruments. Cruise information, position, date and time were reported for each observation. The data records are comprised of pairs of temperature-depth values. The XBT data files contain temperature values at originators defined depths. Standard XBTs can obtain profiles to depths of either 450 or 760 m. Special instruments permit measurements to be obtained to 1830 m.

The Copernicus Marine Service is the marine component of the European Union’s Copernicus Programme. It provides free, open-access, and science-based information on the state of the Ocean at both global and regional scales. This includes data on the physical Ocean (Blue Ocean), sea ice (White Ocean), and Ocean biogeochemistry (Green Ocean).Funded by the European Commission and implemented by Mercator Ocean International, the service supports the implementation of EU policies and International legal Commitments related to Ocean Governance. It also aims to meet the growing demand for reliable Ocean knowledge across society, and to foster sustainable development in the Ocean sectors by providing state-of-the-art Ocean data and forecasts.The Copernicus Marine Service contributes to a wide range of applications, including marine protection, climate change monitoring, pollution tracking, maritime safety, sustainable use of marine resources, and the development of renewable Ocean energy. It is also an asset for scientific research and innovation, and plays a key role in raising public awareness of Ocean-related issues by making complex Ocean information accessible to citizens all around the world.The GLORYS12V1 product is the CMEMS global ocean eddy-resolving (1/12° horizontal resolution, 50 vertical levels) reanalysis covering the altimetry (1993 onward).It is based largely on the current real-time global forecasting CMEMS system. The model component is the NEMO platform driven at surface by ECMWF ERA-Interim then ERA5 reanalyses for recent years. Observations are assimilated by means of a reduced-order Kalman filter. Along track altimeter data (Sea Level Anomaly), Satellite Sea Surface Temperature, Sea Ice Concentration and In situ Temperature and Salinity vertical Profiles are jointly assimilated. Moreover, a 3D-VAR scheme provides a correction for the slowly-evolving large-scale biases in temperature and salinity.DOI (product): https://doi.org/10.48670/moi-00021

This dataset includes chemical, discrete sample, physical and profile data collected from SHOYO in the North Pacific Ocean and Philippine Sea from 1994-11-01 to 1994-11-14 and retrieved during cruise PACIFICA_492S19941101 and WOCE P02W. These data include DISSOLVED OXYGEN, HYDROSTATIC PRESSURE, Potential temperature (theta), SALINITY and WATER TEMPERATURE. The instruments used to collect these data include CTD and bottle. These data were collected by Yoshiyuki Iwanaga of Maritime Safety Agency as part of the PACIFICA_492S19941101 dataset. PACIFICA (PACIFic ocean Interior CArbon) was an international collaborative project for the data synthesis of ocean interior carbon and its related parameters in the Pacific Ocean. The North Pacific Marine Science Organization (PICES), Section of Carbon and Climate (S-CC) supported the project.

The Copernicus Marine Service is the marine component of the European Union’s Copernicus Programme. It provides free, open-access, and science-based information on the state of the Ocean at both global and regional scales. This includes data on the physical Ocean (Blue Ocean), sea ice (White Ocean), and Ocean biogeochemistry (Green Ocean).Funded by the European Commission and implemented by Mercator Ocean International, the service supports the implementation of EU policies and International legal Commitments related to Ocean Governance. It also aims to meet the growing demand for reliable Ocean knowledge across society, and to foster sustainable development in the Ocean sectors by providing state-of-the-art Ocean data and forecasts.The Copernicus Marine Service contributes to a wide range of applications, including marine protection, climate change monitoring, pollution tracking, maritime safety, sustainable use of marine resources, and the development of renewable Ocean energy. It is also an asset for scientific research and innovation, and plays a key role in raising public awareness of Ocean-related issues by making complex Ocean information accessible to citizens all around the world.The GLORYS12V1 product is the CMEMS global ocean eddy-resolving (1/12° horizontal resolution, 50 vertical levels) reanalysis covering the altimetry (1993 onward).It is based largely on the current real-time global forecasting CMEMS system. The model component is the NEMO platform driven at surface by ECMWF ERA-Interim then ERA5 reanalyses for recent years. Observations are assimilated by means of a reduced-order Kalman filter. Along track altimeter data (Sea Level Anomaly), Satellite Sea Surface Temperature, Sea Ice Concentration and In situ Temperature and Salinity vertical Profiles are jointly assimilated. Moreover, a 3D-VAR scheme provides a correction for the slowly-evolving large-scale biases in temperature and salinity.DOI (product): https://doi.org/10.48670/moi-00021

EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and litter. The chosen parameters are relevant for the Marine Strategy Framework Directive (MSFD), in particular for descriptors 5, 8, 9 and 10. The dataset contains standardized, harmonized and validated data collections from beach litter (monitoring and other sources). Datasets concerning beach and seafloor litter data are loaded in a central database after a semi-automated validation phase. Once loaded, a data assessment is performed in order to check data consistency and potential errors are corrected thanks to a feedback loop with data originators. For beach litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on beach litter, including monitoring data, data from cleaning surveys and data from research. A relevant part of the monitoring data has been considered for assessment purposes by the European institutions and therefore is tagged as MSFD_monitoring. EMODnet beach litter data and databases are hosted and maintained by 'Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)' from Italy. Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: https://doi.org/10.6092/15c0d34c-a01a-4091-91ac-7c4f561ab508 The updated vocabularies of admitted values are available at: https://nodc.ogs.it/marinelitter/vocab The harmonized datasets can be downloaded as EMODnet Beach litter data format Version 7.0, which is a spreadsheet file composed of 4 sheets: beach metadata, survey metadata, animals and litter. Local_CDI field in the survey metadata sheet allows to retrieve the original data.

The International Programme for Antarctic Buoys (IPAB) is run by the World Climate Research Programme (WCRP). IPAB is a self-sustaining project of the WCRP, and provides a link between institutions with Antarctic and Southern Ocean interests. IPAB was formally established, following a one year pilot phase, at a meeting in Helsinki, Finland in June 1994. IPAB aims to establish and maintain a network of drifting buoys in the Antarctic sea-ice zone, which monitor ice motion, pressure and temperature. In 1997, 16 organisations, representing 11 countries, were involved in the IPAB programme, including: Alfred Wegener Institute, Antarctic CRC, Australian Antarctic Division, British Antarctic Survey, Commonwealth Bureau of Meteorology, INPE -National Institute for Space Research, Institute for Marine Research and University of Helsinki, Hydrographic Department, Maritime Safety Agency, National Ice Center, National Institute of Polar Research, Programma Nazionale di Ricerche in Antardtide, Scott Polar Research Institute, Service Argos, South African Weather Bureau, United Kingdom Meteorological Office, and World Data Center A Glaciology. Tables of data availability, information, experiment details, literature, and data sets are available from the IPAB home page. Links are also available to databases held by other organisations, and links to Arctic and Indian Ocean buoy databases.

The data are available via several provided URLs. Further information and the data can be obtained from the IPAB home page URL. The data and documentation are also available directly from the NSIDC website. Finally, an older copy of the data are also held locally on the Australian Antarctic Data Centre's servers.

The documentation held at the NSIDC website provides important information on interpreting the dataset. A static copy of this document is included with the local copy of the dataset held on the Australian Antarctic Data Centre's servers.

Data from January 1995 to July 1998 only has been made available on the NSIDC website (and correspondingly on the AADC's servers). More data should be available soon.

This work was also completed as part of ASAC projects 732, 742 and 2678.

The fields in this dataset are: Buoy Number Year Time Longitude Latitude ARGOS Positional Accuracy Sea Ice Flag Air Pressure Air Temperature Water Temperature Velocity

EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and litter. The chosen parameters are relevant for the Marine Strategy Framework Directive (MSFD), in particular for descriptors 5, 8, 9 and 10. The dataset contains standardized, harmonized and validated data collections from beach litter (monitoring and other sources). Datasets concerning beach and seafloor litter data are loaded in a central database after a semi-automated validation phase. Once loaded, a data assessment is performed in order to check data consistency and potential errors are corrected thanks to a feedback loop with data originators. For beach litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on beach litter, including monitoring data, data from cleaning surveys and data from research. A relevant part of the monitoring data has been considered for assessment purposes by the European institutions and therefore is tagged as MSFD_monitoring. EMODnet beach litter data and databases are hosted and maintained by 'Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)' from Italy. Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: https://doi.org/10.6092/15c0d34c-a01a-4091-91ac-7c4f561ab508 The updated vocabularies of admitted values are available at: https://nodc.ogs.it/marinelitter/vocab The harmonized datasets can be downloaded as EMODnet Beach litter data format Version 7.0, which is a spreadsheet file composed of 4 sheets: beach metadata, survey metadata, animals and litter. Local_CDI field in the survey metadata sheet allows to retrieve the original data.

This dataset is a major update to the quasi-global, high-frequency (at least hourly) sea level dataset known as GESLA (Global Extreme Sea Level Analysis). Versions 1 (released 2009) and 2 (released 2016) of the dataset has been used in many published studies, across a wide range of oceanographic and coastal engineering-related investigations concerned with evaluating tides, storm surges, extreme sea levels and other oceanographic processes. The third version of the dataset (released 2021), presented here, contains twice the number of station-years of data (91021), and nearly four times the number of station records (5119), compared to version 2. The dataset consists of records obtained from 36 sources around the world, including some data archaeology efforts. The oldest record dates from year 1805 (spanning 217 years), followed by a few other stations starting during the 1840s and 1850s. However, the vast majority of records start during the 1950s. Data have been updated until October 2021 whenever possible. We have archived the dataset into two parts. This first part contains the 4527 records that are can be used for both research and consultancy purposes. The higher-frequency sea-level dataset in this first part of GESLA-3 was obtained from 33 international and national data providers, specifically: University of Hawaii Sea level Center, National Oceanic and Atmospheric Administration, Marine Environmental Data Section, United States Geological Survey, Bureau of Meteorology, Rijkswaterstaat, Japan Oceanographic Data Center, Japan Meteorological Agency, Swedish Meteorological and Hydrological Institute, Réseaux de référence des observations marégraphiques (Reference networks for tidal observations), British Oceanographic Data Centre, California Department of Water Resources, Japan Oceanographic Data Center, Japan Coast Guard, Norwegian Hydrographic Service, Japan Oceanographic Data Center, Geospatial Information Authority of Japan, Wasserstraßen-und Schifffahrtsverwaltung des Bundes (Federal Waterway and Shipping Administration), Japan Oceanographic Data Center, Ports and Harbours Bureau, South Florida Water Management District, Instituto Superiore per la Protezione e la Ricerca Ambientale (Higher Institute for Environmental Protection and Research), Instituto Español de Oceanografía (Spanish Istitute of Oceanography), Data archaeology exercise, National Autonomous University of Mexico, Finnish Meteorological Institute, Danish Meteorological Institute, Bundesanstalt Für Gewässerkunde(Federal Institute of Hydrology), Marine Institute (Coastal sites), Coastal Channel Observatory, National Oceanography Centre, North West Florida Water Management Department, European Sea-Level Service, Icelandic Coast Guard Hydrographic and Maritime Safety Department, North Carolina Department of Emergency Management, Marine Institute (River Sites) and the Global Sea Level Observing System. These data are made available under the creative commons CC-BY 4.0 license.

Synthetic Aperture Radar (SAR), renowned for its all-weather monitoring capability and high-resolution imaging characteristics, plays a pivotal role in ocean resource exploration, environmental surveillance, and maritime security. It has become a fundamental technological support in marine science research and maritime management. However, existing SAR ship detection algorithms encounter two major challenges: limited detection accuracy and high computational cost, primarily due to the wide range of target scales, indistinct contour features, and complex background interference. To address these challenges, this paper proposes AC-YOLO, a novel lightweight SAR ship detection model based on YOLO11. Specifically, we design a lightweight cross-scale feature fusion module that adaptively fuses multi-scale feature information, enhancing small target detection while reducing model complexity. Additionally, we construct a hybrid attention enhancement module, integrating convolutional operations with a self-attention mechanism to improve feature discrimination without compromising computational efficiency. Furthermore, we propose an optimized bounding box regression loss function, the Minimum Point Distance Intersection over the Union (MPDIoU), which establishes multi-dimensional geometric metrics to accurately characterize discrepancies in overlap area, center distance, and scale variation between predicted and ground truth boxes. Experimental results demonstrate that, compared with the baseline YOLO11 model, AC-YOLO reduces parameter count by 30.0% and computational load by 15.6% on the SSDD dataset, with an average precision (AP) improvement of 1.2%; on the HRSID dataset, the AP increases by 1.5%. This model effectively reconciles the trade-off between complexity and detection accuracy, providing a feasible solution for deployment on edge computing platforms. The source code for the AC-YOLO model is available at: https://github.com/He-ship-sar/ACYOLO.

Physical, chemical, and other data from bottle, XBT, and CTD casts from the SHOYO and other platforms from North Pacific Ocean and other locations. Data were collected by the Maritime Safety Agency; Hydrographic Division (MSA) and other institutions from 01 November 1983 to 31 December 1987. Data were processed by NODC to the NODC standard Station Data II Output Format (SD2) and the Universal Bathythermograph Output Format (UBT). Full format descriptions are available from NODC at www.nodc.noaa.gov/.

The SD2 file format is used for physical-chemical oceanographic data recorded at discrete depth levels. Most of the observations were made using multi- bottle Nansen casts or other types of water samplers. A small amount (about 5%), were obtained using electronic CTD (conductivity-temperature-depth) or STD (salinity-temperature-depth) recorders. The CTD/STD data were reported to NODC at depth levels equivalent to Nansen cast data, however, and have been processed and stored the same as the Nansen data. Cruise information, position, date and time are reported for each station. Each station contains the measurements taken at observed depth levels, but also includes data values interpolated to a set of standard depth levels.

The UBT format contains temperature-depth profile data obtained using expendable bathythermograph (XBT) instruments. Cruise information, position, date and time were reported for each observation. The data records are comprised of pairs of temperature-depth values. The XBT data files contain temperature values at originators defined depths. Standard XBTs can obtain profiles to depths of either 450 or 760 m. Special instruments permit measurements to be obtained to 1830 m.

The following was inserted prior to recent edit. Supporting data could not be located. Electrokinetograph (GEK) data collected by the Japanese Ocean Data Center. These data were collected in December 1987 by DNP cruises in the western Pacific. Documentation includes the record format.

Current meter components data were collected from FIXED PLATFORMS from 09 November 1977 to 20 February 1990. Data were collected by the Maritime Safety Agency; Hydrographic Division (MSA). Data were processed by NODC to the NODC standard F015 Current Meter Components format. Full format description is available from NODC at www.nodc.noaa.gov/General/NODC-Archive/f015.html.

The F015 format contains time series measurements of ocean currents. These data are obtained from current meter moorings and represent the Eulerian method of current measurement, i.e., the meters are deployed at a fixed point and measure flow past a sensor. Position, bottom depth, sensor depth and meter characteristics are reported for each station. The data record includes values of east-west (u) and north-south (v) current vector components at specified date and time. Current direction is defined as the direction toward which the water is flowing with positive directions east and north. Data values may be subject to averaging or filtering and are typically reported at 10 - 15 minute time intervals. Water temperature, pressure and conductivity or salinity may also be reported. A text record is available for optional comments.

The sea surface temperature data in this accession was collected in Sea of Japan. Data in this accession was collected over a six month period from thermistor. The data was collected between Jnauary 1, 1993 and June 30, 1993. Two magnetic tapes were submitted by Dr. Osamu Yamada of the Japanese Oceanographic Data Center, Maritime Safety Agency; Hydrographic Division, Tokyo, Japan. Data were collected by various methods (XBT, MBT, SD); parameters include latitude, longitude, and temperature. The documentation includes the record format and a sample tape dump.

Physical and other data from CTD casts, current meters, and other instruments from the SHOYO and other platforms from the North Pacific Ocean and other locations from 01 January 1990 to 31 December 1991. Data were collected by the Japanese Hydrographic Office and the Maritime Safety Agency; Hydrographic Division (MSA). Additional funding for digitizing historic data were provided by the Global Ocean Data Archaeology and Rescue (GODAR) project.

The sound velocity data in this accession were collected from unknown platforms in May 1972 by Japanese. The sound velocity in water is analog profiles data that was recorded in stripcharts by Japanese. Radio logs are forms that contain time, weather latitude/longitude, vessel id, ship id, etc. These are radioed every two hours to some military center. One line per strip chart. Some strip charts have time/date/ship id/latitude/longitude annotated on the strip chart. Twenty two stripcharts and radio logs were submitted to NODC by Hydrographic Division, Maritime Safety Agency, Tokyo, Japan.