Now showing items 1-20 of 460

    • Sample Preparation Manual for the Analysis of Plastic-related Pollutants. 

      Fourie, Amarein (African Marine Waste Network, Sustainable Seas Trust, Gqeberha, South Africa, 2022)
      The occurrence of plastics in the natural environment has been reported from the most remote places on earth. As such, there is growing global concern about the potential human health impacts caused by plastic pollution ...
    • Productivity, pressure, and new perspectives: impacts of the COVID-19 pandemic on marine early-career researchers. 

      Schadeberg, Amanda; Ford, Eleanor; Wieczorek, Alina M; Gammage, Louise C; López-Acosta, María; Buselic, Ivana; Dermastia, Timotej Turk; Fontela, Marcos; Galobart, Cristina; Monferrer, Natalia Llopis; Lubosny, Marek; Piarulli, Stefania; Suaria, Giuseppe (2022)
      The worldwide disruption caused by the beginning of the COVID-19 pandemic has dramatically impacted the activities of marine scientists working towards the goals of the UN Ocean Decade. As in other disciplines, marine ...
    • Animal Borne Ocean Sensors – AniBOS – An Essential Component of the Global Ocean Observing System. 

      McMahon, Clive R.; Roquet, Fabien; Baudel, Sophie; Belbeoch, Mathieu; Bestley, Sophie; Blight, Clint; Boehme, Lars; Carse, Fiona; Costa, Daniel P.; Fedak, Michael A.; Guinet, Christophe; Harcourt, Robert; Heslop, Emma; Hindell, Mark A.; Hoenner, Xavier; Holland, Kim; Holland, Mellinda; Jaine, Fabrice R. A.; Jeanniard du Dot, Tiphaine; Jonsen, Ian; Keates, Theresa R.; Kovacs, Kit M.; Labrousse, Sara; Lovell, Philip; Lydersen, Christian; March, David; Mazloff, Matthew; McKinzie, Megan K.; Muelbert, Mônica M. C.; O’Brien, Kevin; Phillips, Lachlan; Portela, Esther; Pye, Jonathan; Rintoul, Stephen; Sato, Katsufumi; Sequeira, Ana M. M.; Simmons, Samantha E.; Tsontos, Vardis M.; Turpin, Victor; van Wijk, Esmee; Vo, Danny; Wege, Mia; Whoriskey, Frederick Gilbert; Wilson, Kenady; Woodward, Bill (2021)
      Marine animals equipped with biological and physical electronic sensors have produced long-term data streams on key marine environmental variables, hydrography, animal behavior and ecology. These data are an essential ...
    • Designing a Large Scale Autonomous Observing Network: A Set Theory Approach. 

      Byrne, David; Polton, Jeff; Ribeiro, Joseph; Fernand, Liam; Holt, Jason (2022)
      A well designed observing network is vital to improve our understanding of the oceans and to obtain better predictions of the future. As autonomous marine technology develops, the potential for deploying large autonomous ...
    • Portuguese European Multidisciplinary Seafloor and Water Column Observatory Initiative. 

      Carapuço, Mafalda Marques; Silveira, Tanya Mendes; Stroynowski, Zuzia; Miranda, Jorge Miguel (2022)
      The Atlantic dimension of Portugal, with c. 1,700,000 km2 maritime area, led to the prioritization of the European Multidisciplinary Seafloor and water column Observatory - Portugal (EMSO-PT) in the national scientific ...
    • Standard Operating Procedure: CTD data pre-processing. 

      Mohamed Mahmoud, Mohamed; Munoz Mas, Cristian (Institut Mauritanien De Recherches Océanographiques Et De Pêches (IMROP), Nouadhibou, Mauritania, 2022)
      Describes the pipeline for CTD Seabird Inc. data pre-processing at the Laboratory of Coastal and Marine Studies. The Institute of Oceanographic Research and Fisheries (IMROP) conducts multiple types of scientific surveys ...
    • Standard Operating Procedure: Setting up the oceanography database. V.01. 

      Mohamed Mahmoud, Mohamed; Munoz Mas, Cristian (Institut Mauritanien De Recherches Océanographiques et De Pêches (IMROP), Nouadhibou, Mauritania, 2022)
      The Institute of Oceanographic Research and Fisheries (IMROP) conducts multiple types of scientific surveys in the Mauritanian EEZ and in its coastal areas. This procedure describes a set of operations to be conducted ...
    • Joint Cetacean Data Programme (JDCP), Data Standard: Core Data Fields and Vocabulary Guidance, Version 1.2. 

      Taylor, Nicola Louise; Clear, Nichola; Macleod, Kelly (Joint Nature Conservation Committee (JNCC), Peterborough, UK, 2022)
      One of the key objectives of the JCDP is to work with data providers to synthesise the way in which data are collected and stored, to support collation of data into a central JCDP database. The JCDP Steering Group have ...
    • A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance. 

      Domingos, Lucas C. F.; Santos, Paulo E.; Skelton, Phillip S. M.; Brinkworth, Russell S. A.; Sammut, Karl (2022)
      This paper presents a comprehensive overview of current deep-learning methods for automatic object classification of underwater sonar data for shoreline surveillance, concentrating mostly on the classification of vessels ...
    • Design Principles for Industrial Data-Driven Services. 

      Azkan, Can; Möller, Frederik; Iggena, Lennart; Otto, Boris (2022)
      The continuously growing availability and volume of data pressure companies to leverage them economically. Subsequently, companies must find strategies to incorporate data sensibly for internal optimization and find new ...
    • Spatial data infrastructures "The Marine Dimension": Guidance for Hydrographic Offices. Second Edition Version 2.0.0. 

      International Hydrographic Organization (International Hydrographic Organization, Monaco, 2017)
      The purpose of this document is to explain the way that a Hydrographic Office (HO) should promote, support, and participate in Spatial Data Infrastructures (SDIs). It is not definitive in its nature, preferring instead ...
    • USACE Coastal and Hydraulics Laboratory Quality Controlled, Consistent Measurement Archive 

      Hall, Candice; Jensen, Robert (2022)
      The US Army Corps of Engineers (USACE) utilizes the National Oceanic and Atmospheric Administration (NOAA) National Data Buoy Center (NDBC) buoy measurements for validation of their wave models and within coastal ...
    • A review of the technology standards for enabling digital twin [version 1; peer review: awaiting peer review] . 

      Wang, Kai; Wang, Yamin; Li, Yizheng; Fan, Xiaohui; Xiao, Shanpeng; Hu, Lin (2022)
      In the process of developing digital twin enabling applications, a lack of reference to standards related to digital twin terms, architecture and models leads to differences between users' understanding of digital twin, ...
    • Operationalizing the CARE and FAIR Principles for Indigenous data futures 

      Carroll, Stephanie Russo; Herczog, Edit; Hudson, Maui; Russell, Keith; Stall, Shelley (2021)
      As big data, open data, and open science advance to increase access to complex and large datasets for innovation, discovery, and decision-making, Indigenous Peoples’ rights to control and access their data within these ...
    • YARD: A Tool for Curating Research Outputs. 

      Peer, Limor; Dull, Joshua (2020)
      Repositories increasingly accept research outputs and associated artifacts that underlie reported findings, leading to potential changes in the demand for data curation and repository services. This paper describes a ...
    • Distance Sampling in R. 

      Miller, David L.; Rexstad, Eric; Thomas, Len; Marshall, Laura; Laake, Jeffrey L. (2019)
      Estimating the abundance and spatial distribution of animal and plant populations is essential for conservation and management. We introduce the R package Distance that implements distance sampling methods to estimate ...
    • A Manual of Chemical and Biological Methods for Seawater Analysis. 

      Parsons, Timothy R.; Maita, Yoshiaki; Lalli, Carol M. (Pergamon Press, Oxford, UK, 1984)
      An introduction to the quantitative analysis of seawater, describing in detail biological and chemical techniques, which are considered to be amongst those most often used by biological oceanographers. The manual provides ...
    • A comparison of three methods for estimating call densities of migrating bowhead whales using passive acoustic monitoring. 

      Oedekoven, Cornelia; Marques, Tiago A.; Harris, Danielle; Thomas, Len; Thode, Aaron M.; Blackwell, Susanna B.; Conrad, Alexander S.; Kim, Katherine H. (2022)
      Various methods for estimating animal density from visual data, including distance sampling (DS) and spatially explicit capture-recapture (SECR), have recently been adapted for estimating call density using passive ...
    • International Community Guidelines for Sharing and Reusing Quality Information of Individual Earth Science Datasets. Version v01r02-20220326. 

      Peng, Ge; Lacagnina, Carlo; Ivánová, Ivana; Downs, Robert; Ramapriyan, Hampapuram; Ganske, Anette; Jones, Dave; Bastin, Lucy; Wyborn, Lesley; Bastrakova, Irina; Wu, Mingfang; Shie, Chung-Lin; Moroni, David; Larnicol, Gilles; Wei, Yaxing; Ritchey, Nancy; Champion, Sarah; Hou, C. Sophie; Habermann, Ted; Berg-Cross, Gary; Bugbee, Kaylin; le Roux, Jeanné (OSF Preprints for Earth Science Information Partners (ESIP), Severna Park. MD, 2022)
      Under the auspices of the Earth Science Information Partners (ESIP) and with collaboration among members of the ESIP Information Quality Cluster (IQC), the Barcelona Supercomputing Center (BSC) Evaluation and Quality Control ...
    • Ocean Observation Technologies: A Review. 

      Lin, Mingwei; Yang, Canjun (2020)
      Covering about three quarters of the surface area of the earth, the ocean is a critical source of sustenance, medicine, and commerce. However, such vast expanse in both surface area and depth, presents myriad observing ...