This statistic displays the public concerns about plastic pollution in the ocean in the United Kingdom (UK) in 2018. More than half of those surveyed were very concerned with the amount of plastic pollution in the ocean. Just two percent were not concerned at all.

This dataset Contains Saudi Arabia Emissions of Air or Water Pollutants for the period 2010-2018. Data from General Authority for Statistics. Follow datasource.kapsarc.org for timely data to advance energy economics research.Units: Ozone (o3) concentration level in atmosphere, Carbon monoxide (CO) concentration level, Sulphur oxides (SO2) concentration level, Nitrogen oxides (NO2) concentration level.

This statistic shows the results of surveys from 2016, 2017,2018 and 2019 on the perceived likelihood of ocean pollution affecting the United Kingdom within the next 50 years. According to the 2019 survey, 81 percent of respondents believed that the seas surrounding the United Kingdom would be full of plastic. By comparison, 72 percent believed there would be floating islands of rubbish.

Here we provide a .xlsx file containing data associated with a field study sampling Australian waters to quantify plastic pollution in coastal areas. Please refer to the first tab (Read Me) in the Excel file for a detailed explanation of the data. The sampling occurred between the 18th of September 2018 and 10th of March 2019 during 4 voyages in Australian waters- Ashmore Reef and Long Reef, located north-west of Australia and Esperance and Bremer Bay, located south-west of Australia. The sites for this field campaign were selected mostly at random, except for a few sites in Ashmore Reef targeting the coastal fronts encountered, with visible accumulated plastics, organisms, and feeding megafauna. Sampling was done using manta trawls and drone transects, with additional random snorkelling surveys within the identified CGPs. The plastics found in the samples were characterised by size, type, colour, and weight in the laboratory. If you have any questions or comments, please contact us at bru_calma@hotmail.com

The dataset includes coastal litter data acquired through voluntary environmental NGO initiatives, used to investigate the coastal pollution in Cyprus from 2014 to 2018— a period characterized by inactive national monitoring efforts, infrequent beach cleanups, and low public awareness of marine litter issues. This dataset provides the earliest documentation of coastal litter densities in Cyprus, while also underscoring the harmful and variable nature of certain types of debris. Although pollution rates were persistent over this timeframe, mainly driven by recreational activities, deliberate dumping, and sea-based transport, litter quantities declined in 2021, coinciding with behavioural changes induced by the COVID-19 pandemic.

Produced water is the water that occurs in the extraction of oil and natural gas as a byproduct. It contains dispersed oil, dissolved organic compounds, radioactive materials as well as production chemicals. Dispersed oil refers to the mixture of oil, emulsifier and solvents that enhance the flow of oil in oil spills. In 2019, an estimated 2,190 tons of dispersed oil and produced water were discharged into the sea on the United Kingdom Continental Shelf.

In 2018, packaging accounted for 46 percent of global plastic waste generation. This was considerably higher than any other sector, with textiles making up the second highest share with approximately 15 percent.

Although very useful, plastic products, such as packaging, pose a number of environmental threats. Due to poor infrastructure and a lack of recycling options, products often end up in landfill sites, or oceans, causing significant environmental pollution.

This dataset contains water temperature, salinity, and others taken by CTD and other instruments from multiple ships in the Global Ocean. It belongs to data exchange between the JODC and NOAA/WOD as part of the World Data System - Oceanography (WDS-O). Submission includes data files processed by the JODC from 2019 to 2021 from the following Japanese agencies: 1. Japan Agency for Marine-Earth Science and Technology (JAMSTEC) Observation Data (2014-2020) 2. VOS Nippon (NPO) Observation Data (2016-2020) 3. Mie Prefectural Fisheries High School Observation Data (2018-2020) 4. Japan Coast Guard Observation Data (2016,2018) 5. Japan Coast Guard (Marine Pollution Survey) Observation Data (2015-2016) 6. Faculty of Fisheries, Nagasaki University Observation Data (2014) Data are in JODC standard ASCII text format, FETI (Format of Exchange and Translation for Integration). See Documentation section of this dataset landing page for format description and user guide references.

Two README files are attached along with the raw data:

README.lichens_as_marine_bioindicators_metadata.xlsx details the definitions and units for the column headers in the raw data files

README.lichens_as_marine_bioindicators_analysis_procedures.docx details the code and procedures for the data analysis in the paper publication relating to these data (https://doi.org/10.3119/20)

Colombia Water Pollution: Tax Revenue: % of Total Tax Revenue: Pollution data was reported at 0.021 % in 2020. This records an increase from the previous number of 0.012 % for 2019. Colombia Water Pollution: Tax Revenue: % of Total Tax Revenue: Pollution data is updated yearly, averaging 0.021 % from Dec 2018 (Median) to 2020, with 3 observations. The data reached an all-time high of 0.349 % in 2018 and a record low of 0.012 % in 2019. Colombia Water Pollution: Tax Revenue: % of Total Tax Revenue: Pollution data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Colombia – Table CO.OECD.ESG: Environmental: Environmentally Related Tax Revenue: Environmental Protection Domains: OECD Member: Annual.

Croplands accounted for 60 percent of anthropogenic nitrate contamination in groundwater in 2018. This was mainly caused by the overuse and improper timing of fertilizer applications. The second main source of nitrate contamination in groundwater was domestic wastewater and septic tanks.

This dataset presents the quantification and characterization of microplastics found in Mexican beaches, in sampling campaign carried on in 2018. It includes information regarding concentration, color, size and type.

In order to assess pollution with small microplastics (S-MP, 11-500 µm) in the Lower Weser and transition to the German North Sea, surface water samples were collected with the RV Otzum (ICBM, Institute for Chemistry and Biology of the Marine Environment), as well as with the RV Uthörn (AWI, Alfred-Wegener-Institute) in April 2018. Sampling was performed using a pumping system containing of a floating suction basket (mesh size: 500 µm) for pre-filtration, followed by the concentration onto a 15 µm stainless steel screen. Samples were isolated from the filter screens in the laboratory, thoroughly processed and measured via µFTIR imaging. Dominant polymer type in the S-MP sample fraction was acrylates/polyurethanes/varnish, and concentrations ranged between 2.3 × 10¹ and 9.7 × 10³ m⁻³, with maximum values in the area of the turbidity Maximum Zone of the River Weser.

TrashVisualization.RR code that merges and analyzes all of the data. SizesOfObjects:Table of sizes of objects we compare in the VR. WPP2017_POP_F01_1_TOT:United Nations, Department of Economic and Social Affairs, Population Division (2017). World Population Prospects: The 2017 Revision, DVD Edition.Population:Cleaned population data from UN data set above taking only 2015.1260352_SupportingFile:Jambeck JR, Geyer R, Wilcox C, Siegler TR, Perryman M, Andrady A, et al. Marine pollution. Plastic waste inputs from land into the ocean. Science. 2015 Feb 13;347(6223):768–71.DetailedSummary-Earth (+1-2):Coastal Cleanup Day Data from 2016-2018 https://www.coastalcleanupdata.org/WCD:World Cleanup Day Data for 2018https://www.letsdoitworld.org/wp-content/uploads/2019/01/WCD_2018_Waste_Report_FINAL_26.01.2019.pdfAnything with the word "Key":A key used for merging country names between data sets.

INSPIRE E-PRTR Emission Data. Published by Environmental Protection Agency. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).E-PRTR data covering reporting for 2007 to 2018 by EU Member States, Iceland, Liechtenstein, Norway, Serbia and Switzerland....

This visualization product displays the total abundance of marine macro-litter (> 2.5cm) per beach per year from Marine Strategy Framework Directive (MSFD) monitoring surveys.

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 MSFD surveys only (exclusion of other 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);
- Normalization of survey lengths to 100m & 1 survey / year: in some case, the survey length was not exactly 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.
Sometimes the survey length was null or equal to 0. Assuming that the MSFD protocol has been applied, the length has been set at 100m in these cases.

Percentiles 50, 75, 95 & 99 have been calculated taking into account MSFD 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.

This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 8, criterion 2. This dataset contains measurements on the 7-Ethoxyresorufin-O-deethylase (EROD) activity in Limanda limanda, Imposex (Organotin in Mytilus edulis), fish diseases and counts of oiled common guillemots in the Belgian part of the North Sea.

Le but du Projet de recherche sur les microplastiques du Canada atlantique (2017-2020) est de déterminer la quantité de microplastiques dans trois collectivités côtières du Canada atlantique. Les données serviront à mieux éclairer la conversation et à trouver des solutions concernant la pollution par les plastiques dans la région. Le projet est financé par Environnement et Changement climatique Canada et est en partenariat avec le projet Clean Annapolis River Project (CARP), l'ACAP Humber Arm et le Dr Max Liboiron du Civic Laboratory for Environmental Action Research (CLEAR) de l'Université Memorial de Terre-Neuve (MUN). Le Dr Max Liboiron est notre conseiller académique en chef dans le cadre du projet de 3 ans. Il aide à l'élaboration du projet, aux méthodes et au protocole ainsi qu'à la conception de l'échantillonnage. Le projet comprenait l'échantillonnage des eaux de surface et des sédiments de plage aux trois emplacements de l'étude. L'équipement de chalutage en eaux de surface a été construit à l'aide de la conception de l'instrument à faible débris aquatiques (LADI) de CLEAR. Des rapports de données sont disponibles pour les résultats des eaux de surface et des sédiments riverains de 2018. Les résultats restants de 2018 sur les sédiments et les données sur les points chaud de 2019 seront bientôt disponibles.

LISTOS_Ground_YaleCoastal_Data is the Long Island Sound Tropospheric Ozone Study (LISTOS) ground site data collected at the Yale Coastal ground site during the LISTOS field campaign. This product is a result of a joint effort across multiple agencies, including NASA, NOAA, the EPA Northeast States for Coordinated Air Use Management (NESCAUM), Maine Department of Environmental Protection, New Jersey Department of Environmental Protection, New York State Department of Environmental Conservation and several research groups at universities. Data collection is complete.The New York City (NYC) metropolitan area (comprised of portions of New Jersey, New York, and Connecticut in and around NYC) is home to over 20 million people, but also millions of people living downwind in neighboring states. This area continues to persistently have challenges meeting past and recently revised federal health-based air quality standards for ground-level ozone, which impacts the health and well-being of residents living in the area. A unique feature of this chronic ozone problem is the pollution transported in a northeast direction out of NYC over Long Island Sound. The relatively cool waters of Long Island Sound confine the pollutants in a shallow and stable marine boundary layer. Afternoon heating over coastal land creates a sea breeze that carries the air pollution inland from the confined marine layer, resulting in high ozone concentrations in Connecticut and, at times, farther east into Rhode Island and Massachusetts. To investigate the evolving nature of ozone formation and transport in the NYC region and downwind, Northeast States for Coordinated Air Use Management (NESCAUM) launched the Long Island Sound Tropospheric Ozone Study (LISTOS). LISTOS was a multi-agency collaborative study focusing on Long Island Sound and the surrounding coastlines that continually suffer from poor air quality exacerbated by land/water circulation. The primary measurement observations took place between June-September 2018 and include in-situ and remote sensing instrumentation that were integrated aboard three aircraft, a network of ground sites, mobile vehicles, boat measurements, and ozonesondes. The goal of LISTOS was to improve the understanding of ozone chemistry and sea breeze transported pollution over Long Island Sound and its coastlines. LISTOS also provided NASA the opportunity to test air quality remote sensing retrievals with the use of its airborne simulators (GEOstationary Coastal and Air Pollution Events (GEO-CAPE) Airborne Simulator (GCAS), and Geostationary Trace gas and Aerosol Sensory Optimization (GeoTASO)) for the preparation of the Tropospheric Emissions; Monitoring of Pollution (TEMPO) observations for monitoring air quality from space. LISTOS also helped collaborators in the validation of Tropospheric Monitoring Instrument (TROPOMI) science products, with use of airborne- and ground-based measurements of ozone, NO2, and HCHO.

This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 10, criterion 1. The seafloor dataset describes the litter gathered between 2012 and 2014 during beam trawl (BTS) fishery surveys in the Belgian part of the North Sea (BPNS). It provides the date, location and haul information, type of litter found and information in the size of the items. Additionally the ship name and cruise references are reported. The data is recorded following ICES guidelines allowing future inclusion in the ICES online database DATRAS (International Council for the Exploration of the Sea, Database of Trawl Survery).The sludge dataset describes the litter found between 2013 and 2016 on dredge disposal sites located in the coastal area of the Belgian part of the North Sea (BPNS). It provides the date, location, amount and type of litter as well as methodological information (e.g. mesh size). Additionally, the ship name and cruise references are reported.The beach litter dataset contains information on beach litter for the period 2012-2016 washed ashore on two reference beaches (Oostende Halve Maan & Oostende Raversijde). 40 surveys (100m transects) have been executed until January 2017. Monitoring & data recording has been done according to the OSPAR Guideline for Monitoring Marine Litter on the beaches in the OSPAR maritime area (Convention for the Protection of the Marine Environment of the North-East Atlantic, 2010). Besides the number of litter items, the category is also noted. The dataset is characterized by a high variation in the number of items. The data are reported to OSPAR beach litter database.Conclusions: see https://odnature.naturalsciences.be/msfd/nl/assessments/2018/page-d10