50 datasets found
  1. Marine pollution spills - Volume of marine pollution spills detected...

    • open.canada.ca
    • gimi9.com
    • +1more
    csv, html
    Updated Nov 25, 2019
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    Environment and Climate Change Canada (2019). Marine pollution spills - Volume of marine pollution spills detected offshore and in coastal areas from aerial surveillance, Canada [Dataset]. https://open.canada.ca/data/en/dataset/28c008b1-aea1-44d9-b7f4-af2ddcc8bc5c
    Explore at:
    html, csvAvailable download formats
    Dataset updated
    Nov 25, 2019
    Dataset provided by
    Environment And Climate Change Canadahttps://www.canada.ca/en/environment-climate-change.html
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Apr 1, 2009 - Mar 31, 2017
    Area covered
    Canada
    Description

    The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Marine pollution spills indicator reports the volume of marine pollution spills detected from 2010 to 2017. The indicator also presents data with respect to known sources, including volume and detections per patrol hour of aircraft surveillance. The National Aerial Surveillance Program monitors ships transiting waters under Canadian jurisdiction. The indicator provides an understanding of how active surveillance impacts the occurrence of marine pollution spills. Spills come from ship operations, intentional dumping and accidents. Aerial surveillance is widely adopted worldwide and is considered to be the most effective method for detection of marine pollution spills. The presence of surveillance aircraft acts as a deterrent by discouraging illegal discharges of pollutants at sea. The information gathered is used to enforce the provisions of Canadian legislation applicable to illegal discharges from ships. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated. Supplemental Information Canadian Environmental Sustainability Indicators - Home page: https://www.canada.ca/environmental-indicators

  2. Marine Pollution

    • pacificdata.org
    • solomonislands-data.sprep.org
    • +14more
    geojson, pdf, xlsx
    Updated Feb 11, 2022
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    Secretariat of the Pacific Regional Environment Programme (2022). Marine Pollution [Dataset]. https://pacificdata.org/data/dataset/marine-pollutionffc4a4ae-1bae-4190-a29d-4b7b8dbfe365
    Explore at:
    xlsx, geojson, pdfAvailable download formats
    Dataset updated
    Feb 11, 2022
    Dataset provided by
    Pacific Regional Environment Programmehttps://www.sprep.org/
    License

    https://pacific-data.sprep.org/dataset/data-portal-license-agreements/resource/de2a56f5-a565-481a-8589-406dc40b5588https://pacific-data.sprep.org/dataset/data-portal-license-agreements/resource/de2a56f5-a565-481a-8589-406dc40b5588

    Description

    marine material spillage international oceans

  3. s

    Solomon Islands Marine Pollution incidents

    • pacific-data.sprep.org
    • pacificdata.org
    • +1more
    png
    Updated Feb 21, 2025
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    Solomon Islands Ministry of Environment (2025). Solomon Islands Marine Pollution incidents [Dataset]. https://pacific-data.sprep.org/dataset/solomon-islands-marine-pollution-incidents
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    png(718087)Available download formats
    Dataset updated
    Feb 21, 2025
    Dataset provided by
    Climate Change
    Disaster Management and Meteorology
    Solomon Islands Ministry of Environment
    License

    Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
    License information was derived automatically

    Area covered
    -206.5869140625 -4.3639383754189, POLYGON ((-206.5869140625 -16.442407244412, -189.0966796875 -4.3639383754189, -189.0966796875 -16.442407244412)), Solomon Islands
    Description

    Map of marine pollution incidents by fisheries observer. Resolution 1 degree grid. Resource Map developed by MACBIO for bioregions workshop in Feb 2018.

  4. a

    Marine debris

    • geoinquiries-education.hub.arcgis.com
    Updated Aug 11, 2021
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    Esri GIS Education (2021). Marine debris [Dataset]. https://geoinquiries-education.hub.arcgis.com/items/1365513635cb4e9bb158ce46b1c14853
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    Dataset updated
    Aug 11, 2021
    Dataset authored and provided by
    Esri GIS Education
    Description

    This activity will no longer be maintained after June 16, 2025. Current lessons are available in the K-12 Classroom Activities Gallery.

    This activity uses Map Viewer. ResourcesMapTeacher guide Student worksheetGet startedOpen the map.Use the teacher guide to explore the map with your class or have students work through it on their own with the worksheet.New to GeoInquiriesTM? See Getting to Know GeoInquiries.Science standardsAPES: IC – Global Water Resources and Use.APES: IV.A – Pollution Types.NGSS: HS-ESS3 – Earth and Human Impacts.Learning outcomesStudents will investigate how marine debris becomes trapped by ocean gyres. Students will predict where marine trash will accumulate in oceans.More activitiesAll Environmental Science GeoInquiriesAll GeoInquiries

  5. U

    Marine Litter and Plastic Pollution Resources - Action Plans

    • data.unep.org
    Updated Sep 15, 2022
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    GPML Data Hub (2022). Marine Litter and Plastic Pollution Resources - Action Plans [Dataset]. https://data.unep.org/app/dataset/gpml-marine-litter-and-plastic-pollution-resources---action-plans
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    Dataset updated
    Sep 15, 2022
    Dataset provided by
    GPML Data Hub
    Description

    GPML_RR_IndividualResources_ActionPlan - An inventory of international, regional, national and local action plans.

    Compilation of Action Plans from different entities for the GPML Digital Platform



    Time Period : Data Collection from 2019, and is currently ongoing

    Geo-Coverage : Global

    Sub-Layers:
    'https://gpmarinelitter.maps.arcgis.com/home/item.html?id=9ecb940fc33e4208af46b286976e6ee1' style='font-family:"Times New Roman", serif; font-size:12pt;' target='_blank' rel='nofollow ugc noopener noreferrer'>Marine Litter and Plastic Pollution Action Plans(MLPP_IR_AP_GPML_FS)

  6. g

    WMS Service (Web Map Service) OSPAR Network of Marine Protected Areas...

    • gimi9.com
    Updated Jun 25, 2022
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    (2022). WMS Service (Web Map Service) OSPAR Network of Marine Protected Areas (OSPAR) | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_ba1e6f65-c235-4536-a127-70b961a8c380/
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    Dataset updated
    Jun 25, 2022
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Web Map Service called the OSPAR Network of Marine Protected Areas allows the visualisation and consultation of the data set of the OSPAR network of marine protected areas, which represents the agreement on the protection of the marine environment in the North-East Atlantic, or OSPAR agreement, which entered into force in 1998. It complements and updates the 1972 Oslo Convention on Disposals into the Sea and the 1974 Paris Convention on Marine Pollution of Land Origin. The date of creation of the geographical data is November 2009, in 2008 the Cíes Islands were incorporated, in 2009 El Cachucho and finally, in 2014, the rest of the spaces that make up this data set were incorporated. The URL of the WMS Service OSPAR Marine Protected Areas Network is: https://wms.mapama.gob.es/sig/Biodiversidad/OSPAR/wms.aspx The reference systems offered by this service are: — For geographical coordinates: CRS: 84, EPSG:4230 (ED50), EPSG:4326 (WGS 84), EPSG:4258 (ETRS 89). — For U.T.M coordinates: EPSG:32628 (WGS 84/UTM zone 28N), EPSG:32629 (WGS 84/UTM zone 29N), EPSG:32630 (WGS 84/UTM zone 30N), EPSG:32631 (WGS 84/UTM zone 31N), EPSG:25828 (ETRS 89/UTM zone 28N), EPSG:25829 (ETRS 89/UTM zone 29N), EPSG:25830 (ETRS 89/UTM zone 30N), EPSG:25831 (ETRS 89/UTM zone 31N), EPSG:23028 (ED50/UTM zone 28N), EPSG:23029 (ED50/UTM zone 29N), EPSG:23030 (ED50/UTM zone 30N), EPSG:23031 (ED50/UTM zone 31N).

  7. a

    Marine Pollution Regulation

    • data-nrcgis.opendata.arcgis.com
    • hub.arcgis.com
    Updated Nov 1, 2018
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    Northland Regional Council (2018). Marine Pollution Regulation [Dataset]. https://data-nrcgis.opendata.arcgis.com/maps/marine-pollution-regulation
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    Dataset updated
    Nov 1, 2018
    Dataset authored and provided by
    Northland Regional Council
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    In our harbours, untreated sewage can contaminate the shellfish we eat or make water unsafe for swimming for a long time after its discharged.If you’re a boat owner, help protect our harbours by disposing of your boat sewage properly. To report pollution, phone our Environmental Hotline on 0800 504 639.Boat sewage is a serious risk to human and animal health and the environment.To continue to enjoy Northland's coast and safely gather and eat kaimoana (seafood), our waters must be kept free of sewage. There are strict rules covering sewage discharges from boats in Northland waters – these apply to every type of boat or craft. Untreated boat sewage must be discharged well outside of any harbour or at a marina pumping facility.It is illegal to discharge ‘Grade A' treated sewage within 100 metres of a marine farm. It's also illegal to discharge ‘Grade B' treated sewage within 500 metres of a marine farm or gazetted Maitaitai Reserve.Boat sewage is much more concentrated than sewage from land because it has not been diluted or treated. It is estimated that an untreated discharge from a single weekend boatie can put the same quantity of bacterial pollution into the water as the treated sewage from thousands of people on land.Boat sewage can contaminate the water with long-living viruses and nasties which can cause harmful diseases, like Hepatitis A, or severe stomach upsets.Shellfish can become unsafe to eat for weeks after exposure to sewage as they are filter feeders – they concentrate viruses and other nasties in the water. Shellfish in estuaries and bays are particularly at risk because any contaminated water in them usually takes longer to flush out.There are different ways you can comply with marine pollution regulations, including:- Using on-shore toilet facilities - Using an ordinary portable toilet and taking it ashore to empty it - Installing a sewage holding tank on your boat Installing a sewage treatment system on board.If you suspect a boat is illegally discharging sewage, phone the Northland Regional Council's 24/7 Environmental Hotline on 0800 504 639

  8. U

    Marine Litter and Plastic Pollution Resources - Technologies

    • data.unep.org
    Updated Sep 14, 2022
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    GPML Data Hub (2022). Marine Litter and Plastic Pollution Resources - Technologies [Dataset]. https://data.unep.org/app/dataset/gpml-marine-litter-and-plastic-pollution-resources---technologies
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    Dataset updated
    Sep 14, 2022
    Dataset provided by
    GPML Data Hub
    Description

    Technologies collected through research based on publicly available information. Examples of technologies range from apps,web platforms and more.

    Entity : Compilation of Technologies from different entities for the GPML Digital Platform.



    Time Period : Data Collection from 2019, and is currently ongoing

    Geo-coverage : Global

    Sub-Layers:

  9. e

    Ranking and mapping the impact of human activities on global ocean...

    • knb.ecoinformatics.org
    • search.dataone.org
    • +1more
    Updated Jan 6, 2015
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    NCEAS 9400 : Halpern: Putting ocean wilderness on the map; National Center for Ecological Analysis and Synthesis; Ben Halpern (2015). Ranking and mapping the impact of human activities on global ocean ecosystems [Dataset]. http://doi.org/10.5063/AA/nceas.334.2
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    Dataset updated
    Jan 6, 2015
    Dataset provided by
    Knowledge Network for Biocomplexity
    Authors
    NCEAS 9400 : Halpern: Putting ocean wilderness on the map; National Center for Ecological Analysis and Synthesis; Ben Halpern
    Time period covered
    Jan 1, 2002
    Area covered
    Earth
    Description

    Conservation prioritization and spatially explicit management of the oceans require high-resolution maps of where human impacts to marine ecosystems occur, yet few such maps exist. Here we synthesize global data on 17 threats and 14 marine ecosystems to produce a global, 1km2 resolution map of human impacts specific to each marine ecosystem. We found that none of the ocean is unaffected by humans but that a relatively small fraction is heavily impacted, and that results vary greatly by region and ecosystem type. This research is the first such global assessment, providing important guidelines for where conservation action and threat mitigation is most critical to meet global management and conservation goals.

  10. o

    Beach litter - Beaches locations and litter list used - Other sources...

    • nodc.ogs.it
    Updated 2021
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    EMODnet Chemistry (2021). Beach litter - Beaches locations and litter list used - Other sources 2001/2020 v2021 [Dataset]. http://doi.org/10.13120/7c28ac38-16cf-423f-9778-6ee05b2ad1e6
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    Dataset updated
    2021
    Dataset provided by
    datacite
    EMODnet Chemistry
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Dataset funded by
    European Commission
    Description

    This visualization product displays beaches locations where non-MSFD monitoring surveys, research & cleaning operations have been applied to collate data on macrolitter (> 2.5 cm).
    Reference lists associated to those protocols have been indicated with different colors in the map.


    EMODnet Chemistry included the collection of marine litter in its 3rd phase. Since the beginning of 2018, data of beach litter have been gathered and processed in the EMODnet Chemistry Marine Litter Database (MLDB).
    The harmonization of all the data has been the most challenging task considering the heterogeneity of the data sources, sampling protocols and reference lists used on a European scale.


    Preliminary processing were necessary to harmonize all the data:
    - Exclusion of OSPAR 1000 protocol: in order to follow the approach of OSPAR that it is not including these data anymore in the monitoring;
    - Selection of surveys from non-MSFD monitoring, cleaning and research operations;
    - Exclusion of beaches without coordinates;
    - Some categories & some litter types like organic litter, small fragments (paraffin and wax; items > 2.5cm) and pollutants have been removed. The list of selected items is attached to this metadata. This list was created using EU Marine Beach Litter Baselines and EU Threshold Value for Macro Litter on Coastlines from JRC (these two documents are attached to this metadata).

    More information is available in the attached documents.


    Warning: the absence of data on the map doesn't necessarily mean that they don't exist, but that no information has been entered in the Marine Litter Database for this area.

  11. Marine debris - Environmental Science GeoInquiries

    • geoinquiries-education.hub.arcgis.com
    • hub.arcgis.com
    Updated Aug 18, 2016
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    Esri GIS Education (2016). Marine debris - Environmental Science GeoInquiries [Dataset]. https://geoinquiries-education.hub.arcgis.com/maps/8eb926b611f94a2a90744dbaf3121f56
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    Dataset updated
    Aug 18, 2016
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri GIS Education
    Area covered
    Description

    THE ADVANCED ENVIRONMENTAL SCIENCE AND BIOLOGY GEOINQUIRY COLLECTIONhttp://www.esri.com/geoinquiriesTo support Esri’s involvement in the White House ConnectED Initiative, GeoInquiry instructional materials using ArcGIS Online for high school biology education are now freely available.The Advanced Environmental Science and Biology GeoInquiry collection contains 15 free, web-mapping activities that correspond and extend map-based concepts in leading elementary textbooks. The activities use a standard inquiry-based instructional model, require only 15 minutes for a teacher to deliver, and are device/laptop agnostic. The activities harmonize with the Next Generation Science Standards. Activity topics include:• Population dynamics • Megacities • Down to the last drop • Dead zones (water pollution) • The Beagle’s Path • Primary productivity • Tropical Deforestation • Marine debris • El Nino (and climate) • Slowing malaria • Altered biomes • Spinning up wind power • Resource consumption and wealthTeachers, GeoMentors, and administrators can learn more at http://www.esri.com/geoinquiries

  12. E

    Black Sea Marine Accident Oil Spill Information System (MAOSIS)

    • edmed.seadatanet.org
    • bodc.ac.uk
    nc
    Updated Mar 25, 2011
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    Ukrainian scientific center of Ecology of Sea (2011). Black Sea Marine Accident Oil Spill Information System (MAOSIS) [Dataset]. https://edmed.seadatanet.org/report/5327/
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    ncAvailable download formats
    Dataset updated
    Mar 25, 2011
    Dataset authored and provided by
    Ukrainian scientific center of Ecology of Sea
    License

    https://vocab.nerc.ac.uk/collection/L08/current/UN/https://vocab.nerc.ac.uk/collection/L08/current/UN/

    Time period covered
    Jan 1, 2007 - Present
    Area covered
    Description

    In accordance with the Black Sea Strategic Action Plan (1996), the Ukrainian Law on a National Programme for the Protection and Rehabilitation of the Azov and Black Seas (2001), and the Regional Contingency Plan for Combating Pollution of the Black Sea by Oil (2003), the Ministry of Environmental Protection of Ukraine initiated a project to create a Marine Accident Oil Spill Information System (MAOSIS), based at the Ukrainian Scientific Centre of Ecology of the Sea. MAOSIS combines existing data from different sources: analyses, studies, projects and statistics that are collected and updated annually. Most of the data are collected as part of the routine work of UkrSCES. However, some data are obtained from ESRI, the European Union and Black Sea Environment Recovery Project. MAOSIS can be used to view different combinations of datasets related to oil spills over a common background map. MAOSIS allows those who are responsible for decision making to access and assess this information in various areas. The system includes the basic datasets (coastlines, administrative boundaries, coastal cities, sea basin, lakes and estuaries, coastal oblasts, etc.), a tool to view maps of the datasets, and documentation about the datasets. The layers consist of a number of datasets: * Human usage, * Dangerous sites, * Maritime traffic, * Ports and terminals, * Zones of response, * Coastal sensitivity, * Protected areas. MAOSIS provides a single and easy to use interface. Users can visualize oil spills and oil transportation networks in the Black and Azov Seas, focusing on the risk of oil pollution, recreational potential and oil spill response equipment. The users of this system are mainly decision makers, and oil pollution response authorities of the Ukrainian Black and Azov Seas coastal areas.

  13. c

    Atlas des paysages acoustiques océaniques

    • catalogue.cioos.ca
    • catalogue.ogsl.ca
    html
    Updated Dec 26, 2023
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    Chaire de recherche du MPO à l’ISMER-UQAR en acoustique marine appliquée à la recherche sur l’écosystème et les mammifères marins (2023). Atlas des paysages acoustiques océaniques [Dataset]. http://doi.org/10.26071/ogsl-a0016579-2fa5
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    htmlAvailable download formats
    Dataset updated
    Dec 26, 2023
    Dataset provided by
    St. Lawrence Global Observatory
    slgo
    Authors
    Chaire de recherche du MPO à l’ISMER-UQAR en acoustique marine appliquée à la recherche sur l’écosystème et les mammifères marins
    Time period covered
    Jan 1, 2013 - Dec 31, 2013
    Area covered
    Variables measured
    Other, Sea State, Sea Surface Height
    Description

    DESCRIPTION:

    The Ocean Soundscape Atlas is an interactive online tool for viewing maps of the different components of ocean soundscapes: geophony (sounds of geophysical origin such as winds and waves), biophony (sounds emitted by animal species such as whales) and anthropophony (sounds from human activities such as maritime traffic).

    This application makes it possible to browse, in 3D space and time, the interactions between acoustic components and the potential impacts on marine species, especially those at risk. It is used in particular to make vertical sections along user-defined trajectories as well as to extract statistics on predefined or user-defined areas of interest.

    CONTEXT:

    The Ocean Soundscape Atlas is the result of a long-term collaboration between the underwater acoustics research teams of the Maurice-Lamontagne Institute, Department of Fisheries and Oceans Canada (DFO) and the Institute of Marine Sciences (Ismer) within the “DFO Research Chair in Marine Acoustics Applied to Ecosystem and Marine Mammal Research at Ismer”. This initiative begins with pioneering work on maritime traffic noise (Simard et al. 2010), underwater ambient noise (Kinda et al. 2013), and the impact of shipping noise on marine mammals (Gervaise et al. 2012). It then continues with the development of a fully probabilistic approach to assess the impact of maritime traffic noise on marine ecosystems including modeling (Gervaise et al. 2015), in situ measurement of levels at the source. vessels according to ASA / ISO international standards (Simard et al. 2016), and acoustic impacts on ecosystems (Aulanier et al. 2016, 2017). This work results in a map production tool, called RAMDAM, that will serve as the foundation for the Ocean Soundscape Atlas. Between 2017 and 2021, the Atlas of Acoustic Oceanic Landscapes project is funded by the Canadian Fund for Innovation, the Government of Quebec and Fisheries and Ocean Canada as part of the "Cyberinfrastructure Initiative, First Challenge - Infrastructure of research data ”. The MERIDIAN project (Marine Environmental Research Infrastructure for Data Integration and Application Network), submitted by a pan-Canadian consortium of universities and industrial partners, has a mandate to assist the scientific community in marine sciences in order to develop innovative tools. using Compute Canada's cyberinfrastructure, with the objective of managing, discovering, accessing, visualizing and analyzing massive data in underwater acoustics; like the millions of maps of the Ocean Soundscape Atlas. This initiative benefited over the same period from a regional synergy in underwater acoustics, in particular thanks to its complementarity with the Oceans Protection Program - Marine Environment Quality, Fisheries and Oceans Canada and the participation of the Global Observatory of the Saint-Laurent at the forefront of oceanographic data management and diffusion in Canada.

    REFERENCES:

    Simard, Y., Lepage, R., & Gervaise, C. (2010). Anthropogenic sound exposure of marine mammals from seaways: Estimates for Lower St. Lawrence Seaway, eastern Canada. Applied Acoustics, 71(11), 1093-1098.

    Gervaise, C., Simard, Y., Roy, N., Kinda, B., & Menard, N. (2012). Shipping noise in whale habitat: Characteristics, sources, budget, and impact on belugas in Saguenay–St. Lawrence Marine Park hub. The Journal of the Acoustical Society of America, 132(1), 76-89.

    Kinda, B, G., Simard, Y., Gervaise, C., Mars, J. I., & Fortier, L. (2013). Under-ice ambient noise in Eastern Beaufort Sea, Canadian Arctic, and its relation to environmental forcing. The Journal of the Acoustical Society of America, 134(1), 77-87.

    Gervaise, C., Aulanier, F., Simard, Y., & Roy, N. (2015). Mapping probability of shipping sound exposure level. The Journal of the Acoustical Society of America, 137(6), EL429-EL435.

    Aulanier, F., Simard, Y., Roy, N., Gervaise, C., & Bandet, M. (2016). Spatial-temporal exposure of blue whale habitats to shipping noise in St. Lawrence system. Fisheries and Oceans Canada, Science Advisory Secretatiat Research Document. 2016/090, vi + 26 p.

    Simard, Y., Roy, N., Gervaise, C., & Giard, S. (2016). Analysis and modeling of 255 source levels of merchant ships from an acoustic observatory along St. Lawrence Seaway. The Journal of the Acoustical Society of America, 140(3), 2002-2018.

    Aulanier, F., Simard, Y., Roy, N., Bandet, M., and Gervaise, C. (2016). "Groundtruthed probabilistic shipping noise modeling and mapping: Application to blue whale habitat in the Gulf of St. Lawrence," Proceedings of Meetings on Acoustics 27, 070006.

    Aulanier, F., Simard, Y., Roy, N., Gervaise, C., & Bandet, M. (2017). Effects of shipping on marine acoustic habitats in Canadian Arctic estimated via probabilistic modeling and mapping. Marine Pollution Bulletin, 125(1-2), 115-131.

    TERMS OF USE AND RESPONSABILITY:

    This is a prototype display platform for products derived from underwater acoustic models and measurements. The data displayed are preliminary results produced for scientific research, incompletely validated by measurements and by peers. The interpretation of its maps therefore requires a critical judgment by an expert in underwater acoustic modeling and measurements. The use of the data displayed for impact study or scientific research is prohibited. The distribution and reproduction of screen displays without the agreement of those responsible for the Meridian Soundscape Atlas project is not authorized. The broadcasters reject any responsibility for the possible use of these visualizations for any purpose. Contains information licensed under the Open Government License - Canada.

  14. m

    All-Russia Research Institute of Hydrometeorological Information - World...

    • meta.meteo.ru
    Updated Feb 20, 2012
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    Generalized schematic map of the state and pollution of water in the Russian sector of the Black Sea in 2013 (2012). All-Russia Research Institute of Hydrometeorological Information - World Data Centre (RIHMI-WDC) [Dataset]. http://meta.meteo.ru/geonetwork/srv/api/records/RU_RNODC_15
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    Dataset updated
    Feb 20, 2012
    Dataset provided by
    Generalized schematic map of the state and pollution of water in the Russian sector of the Black Sea in 2013
    Time period covered
    Apr 10, 2010 - Jun 10, 2010
    Area covered
    Description

    Generalized schematic maps and state of water pollution based on integrated satellite and ground data. Period - 2013

  15. U

    Marine Litter and Plastic Pollution Resources - Financing Resources

    • data.unep.org
    Updated Sep 15, 2022
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    GPML Data Hub (2022). Marine Litter and Plastic Pollution Resources - Financing Resources [Dataset]. https://data.unep.org/app/dataset/gpml-marine-litter-and-plastic-pollution-resources---financing-resources
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    Dataset updated
    Sep 15, 2022
    Dataset provided by
    GPML Data Hub
    Description

    Financing resources and mechanisms collected through research based on publicly available information as well as interviews and/or email communications with experts, and inputs received through Projec...

    Entity : Compilation of Financing resources from different entities for the GPML Digital Platform. Sources include:The World Bank,The International Monetary Fund,
    Regional and sub-regional development banks,The United Nations system (including Multilateral Environmental Agreements) ,The Global Environment Facility,
    national sources, as well as information from the private sector, including for-profit institutions, non-profit foundations, capital markets and more.


    Time Period : Data Collection from 2019, and is currently ongoing

    Geo-Coverage : Global

    Sub-Layers:
    'https://gpmarinelitter.maps.arcgis.com/home/item.html?id=1e2e8ac7bb7348808813805c6b4f5b47' style='font-family:"Times New Roman", serif; font-size:12pt;' target='_blank' rel='nofollow ugc noopener noreferrer'>Marine Litter and Plastic Pollution FinancingResources (MLPP_IR_FIN_GPML_FS)

  16. g

    Map of Civil Protection in Catalonia: marine pollution risk | gimi9.com

    • gimi9.com
    Updated Mar 11, 2017
    + more versions
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    (2017). Map of Civil Protection in Catalonia: marine pollution risk | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_https-analisi-transparenciacatalunya-cat-api-views-ht7z-bwsq
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    Dataset updated
    Mar 11, 2017
    Area covered
    Catalunya
    Description

    Conté els dos datasets que s'indiquen a continuació: Vulnerabilitat per contaminació marina: determina per a cada municipi del litoral la vulnerabilitat de contaminació accidental de les aigües marines, considerant aspectes socio-econòmics i també mediambientals. Perill per contaminació marina: determina per a cada municipi del litoral, el perill de contaminació accidental de les aigües marines, considerant els focus fixos i mòbils. Tenen per objectiu identificar els municipis del litoral amb major perill o vulnerabilitat envers la contaminació accidental de les aigües marines i del territori del litoral, per a preparar la resposta operativa de la Generalitat de Catalunya i dels ens i administracions locals.

  17. o

    Beach Litter - Median number of total abundance items normalized per 100m &...

    • nodc.ogs.it
    Updated 2021
    + more versions
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    EMODnet Chemistry (2021). Beach Litter - Median number of total abundance items normalized per 100m & to 1 survey - Other sources 2001/2020 v2021 [Dataset]. http://doi.org/10.13120/5615830e-8b8e-42e1-8050-69a6d5e3d0b5
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    Dataset updated
    2021
    Dataset provided by
    datacite
    EMODnet Chemistry
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Dataset funded by
    European Commission
    Description

    This visualization product displays the total abundance of marine macro-litter (> 2.5cm) per beach per year from non-MSFD monitoring surveys, research & cleaning operations.


    EMODnet Chemistry included the collection of marine litter in its 3rd phase. Since the beginning of 2018, data of beach litter have been gathered and processed in the EMODnet Chemistry Marine Litter Database (MLDB).
    The harmonization of all the data has been the most challenging task considering the heterogeneity of the data sources, sampling protocols and reference lists used on a European scale.


    Preliminary processing were necessary to harmonize all the data:
    - Exclusion of OSPAR 1000 protocol: in order to follow the approach of OSPAR that it is not including these data anymore in the monitoring;
    - Selection of surveys from non-MSFD monitoring, cleaning and research operations;
    - Exclusion of beaches without coordinates;
    - Some categories & some litter types like organic litter, small fragments (paraffin and wax; items > 2.5cm) and pollutants have been removed. The list of selected items is attached to this metadata. This list was created using EU Marine Beach Litter Baselines and EU Threshold Value for Macro Litter on Coastlines from JRC (these two documents are attached to this metadata).
    - Exclusion of surveys without associated length;
    - Normalization of survey lengths to 100m & 1 survey / year: in some case, the survey length was not 100m, so in order to be able to compare the abundance of litter from different beaches a normalization is applied using this formula:
    Number of items (normalized by 100 m) = Number of litter per items x (100 / survey length)
    Then, this normalized number of items is summed to obtain the total normalized number of litter for each survey. Finally, the median abundance for each beach and year is calculated from these normalized abundances per survey.

    Percentiles 50, 75, 95 & 99 have been calculated taking into account other sources data for all years.


    More information is available in the attached documents.


    Warning: the absence of data on the map doesn't necessarily mean that they don't exist, but that no information has been entered in the Marine Litter Database for this area.

  18. Plastic SOS Topographic (WGS84)

    • noaa.hub.arcgis.com
    Updated Oct 9, 2019
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    NOAA GeoPlatform (2019). Plastic SOS Topographic (WGS84) [Dataset]. https://noaa.hub.arcgis.com/maps/5b6900c13f4c41c9ac9d4cf8ed864dcf
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    Dataset updated
    Oct 9, 2019
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    Area covered
    Description

    This map is to be used on NOAA's Science on the Sphere. Projection:This vector web map provides a detailed basemap for the world featuring a classic Esri topographic map style. This web map includes the raster shaded relief World Hillshade (WGS84) layer.Precise Tile Registration: The Topographic map uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author. Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map. Data:Plastic Pollution in the World's Oceans: More than 5 Trillion Plastic Pieces Weighing over 250,000 Tons Afloat at SeaMarcus Eriksen ,Laurent C. M. Lebreton,Henry S. Carson,Martin Thiel,Charles J. Moore,Jose C. Borerro,Francois Galgani,Peter G. Ryan,Julia ReisserPublished: December 10, 2014 https://doi.org/10.1371/journal.pone.0111913Data Availability: The authors confirm that all data underlying the findings are fully available without restriction. These data are available at figshare.com. Eriksen, Marcus; Reisser, Julia; Galgani, Francois; Moore, Charles; Ryan, Peter; Carson, Hank; Thiel, Martin (2014): Plastic Marine Pollution Global Dataset. Raw data can be downloaded without restrictions here.

  19. m

    Coastal Risk Screening Tool: Map By Year

    • gis.data.mass.gov
    Updated Mar 21, 2024
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    MassGIS - Bureau of Geographic Information (2024). Coastal Risk Screening Tool: Map By Year [Dataset]. https://gis.data.mass.gov/datasets/coastal-risk-screening-tool-map-by-year
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    Dataset updated
    Mar 21, 2024
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Description

    Coastal Risk Screening Tool: Map By YearThe year map allows users to explore coastal flood risk and sea level rise projections by decadal year for anywhere in the world, and under multiple pollution scenarios. The map allows users to choose between the leading sea level rise models and incorporate the most accurate elevation data available.

  20. a

    Estimate of Plastic Pollution in the World's Oceans

    • hub.arcgis.com
    Updated Oct 8, 2015
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    UN Environment, Early Warning &Data Analytics (2015). Estimate of Plastic Pollution in the World's Oceans [Dataset]. https://hub.arcgis.com/maps/0a84536e5172481c971f6b81c49d3b3e
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    Dataset updated
    Oct 8, 2015
    Dataset authored and provided by
    UN Environment, Early Warning &Data Analytics
    Area covered
    World,
    Description

    Plastic Pollution in the World’s Oceans: More than 5 Trillion Plastic Pieces Weighing over 250,000 Tons Afloat at SeaThis is a map of the field locations where count density was measured between 2007-2013. Count density (pieces km22; see colors in legend) of marine plastic debris measured at 1571 stations from 680 net tows and 891 visual survey transects for various plastic size class (0.33-1.00, 1.01-4.75, 4.76-200, and over 200 mm).Source: PLOS ONE

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Environment and Climate Change Canada (2019). Marine pollution spills - Volume of marine pollution spills detected offshore and in coastal areas from aerial surveillance, Canada [Dataset]. https://open.canada.ca/data/en/dataset/28c008b1-aea1-44d9-b7f4-af2ddcc8bc5c
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Marine pollution spills - Volume of marine pollution spills detected offshore and in coastal areas from aerial surveillance, Canada

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html, csvAvailable download formats
Dataset updated
Nov 25, 2019
Dataset provided by
Environment And Climate Change Canadahttps://www.canada.ca/en/environment-climate-change.html
License

Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically

Time period covered
Apr 1, 2009 - Mar 31, 2017
Area covered
Canada
Description

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Marine pollution spills indicator reports the volume of marine pollution spills detected from 2010 to 2017. The indicator also presents data with respect to known sources, including volume and detections per patrol hour of aircraft surveillance. The National Aerial Surveillance Program monitors ships transiting waters under Canadian jurisdiction. The indicator provides an understanding of how active surveillance impacts the occurrence of marine pollution spills. Spills come from ship operations, intentional dumping and accidents. Aerial surveillance is widely adopted worldwide and is considered to be the most effective method for detection of marine pollution spills. The presence of surveillance aircraft acts as a deterrent by discouraging illegal discharges of pollutants at sea. The information gathered is used to enforce the provisions of Canadian legislation applicable to illegal discharges from ships. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated. Supplemental Information Canadian Environmental Sustainability Indicators - Home page: https://www.canada.ca/environmental-indicators

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