cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13120/c4d1c048-ce84-4a64-a8ce-8b5d5d53cac8
title: Beach litter - Single use plastics (SUP) related items abundance normalized per 100m & to 1 survey - Official monitoring 2001/2020 v2021

description: This visualization product displays the single use plastics (SUP) related items abundance of marine macro-litter (&gt; 2.5cm) per beach per year from Marine Strategy Framework Directive (MSFD) monitoring surveys. <br> <br> <br> 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). <br> 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. <br> <br> <br> Preliminary processing were necessary to harmonize all the data: <br> - Exclusion of OSPAR 1000 protocol: in order to follow the approach of OSPAR that it is not including these data anymore in the monitoring; <br> - Selection of MSFD surveys only (exclusion of other monitoring, cleaning and research operations); <br> - Exclusion of beaches without coordinates; <br> - Selection of SUP related items only. The list of selected items is attached to this metadata. This list was created using EU Marine Beach Litter Baselines for Macro Litter on Coastlines from JRC (this document is attached to this metadata); <br> - 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: <br> Number of SUP items of the survey (normalized by 100 m) = Number of SUP related items of the survey x (100 / survey length) <br> Then, this normalized number of¨SUP related items is summed to obtain the total normalized number of SUP related items for each survey. Finally, the median abundance of SUP related items for each beach and year is calculated from these normalized abundances of SUP related items per survey. <br> 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. <br> <br> Percentiles 50, 75, 95 & 99 have been calculated taking into account SUP related items from MSFD data for all years. <br> <br> More information is available in the attached documents. <br> <br> <br> 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.
DOI: 10.13120/d33f9535-8e1f-48ff-8d85-1b29813a83d3
title: Beach litter - Single use plastics (SUP) related items abundance normalized per 100m & to 1 survey - Other sources 2001/2020 v2021

description: This visualization product displays the single use plastics (SUP) related items abundance of marine macro-litter (&gt; 2.5cm) per beach per year from non-MSFD monitoring surveys, research & cleaning operations. <br> <br> <br> 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). <br> 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. <br> <br> <br> Preliminary processing were necessary to harmonize all the data: <br> - Exclusion of OSPAR 1000 protocol: in order to follow the approach of OSPAR that it is not including these data anymore in the monitoring; <br> - Selection of surveys from non-MSFD monitoring, cleaning and research operations; <br> - Exclusion of beaches without coordinates; <br> - Selection of SUP related items only. The list of selected items is attached to this metadata. This list was created using EU Marine Beach Litter Baselines for Macro Litter on Coastlines from JRC (this document is attached to this metadata); <br> - Exclusion of surveys without associated length; <br> - 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: <br> Number of SUP related items of the survey (normalized by 100 m) = Number of SUP related items of the survey x (100 / survey length) <br> Then, this normalized number of SUP related items is summed to obtain the total normalized number of SUP related items for each survey. Finally, the median abundance of SUP related items for each beach and year is calculated from these normalized abundances of SUP related items per survey. <br> <br> Percentiles 50, 75, 95 & 99 have been calculated taking into account SUP related items from other sources data for all years. <br> <br> <br> More information is available in the attached documents. <br> <br> <br> 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.
DOI: 10.13120/adc3b0c0-9384-4a48-bb5e-152b475cbd84
title: Beach litter - Total abundance (Nb. Items) of litter aggregated over a given period per beach - Official monitoring 2001/2020 v2021

description: This visualization product displays the total abundance of marine macro-litter (&gt; 2.5cm) per beach, per 100m & to 1 survey aggregated over the period 2001 to 2020 from Marine Strategy Framework Directive (MSFD) monitoring surveys. <br> <br> 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). <br> 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. <br> <br> <br> Preliminary processing were necessary to harmonize all the data: <br> - Exclusion of OSPAR 1000 protocol: in order to follow the approach of OSPAR that it is not including these data anymore in the monitoring; <br> - Selection of MSFD surveys only (exclusion of other monitoring, cleaning and research operations); <br> - Exclusion of beaches without coordinates; <br> - Some categories & some litter types like organic litter, small fragments (paraffin and wax; items &gt; 2.5cm) and pollutants have been removed. The list of selected items is attached to this metadata (total abundance list). 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); <br> - Normalization of survey lengths to 100m & 1 survey / year: in some cases, 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: <br> Number of items (normalized by 100 m) = Number of litter per items x (100 / survey length) <br> Then, this normalized number of items is summed to obtain the total normalized number of litter for each survey. Finally, a median is calculated over the entire period among all these total numbers of litter per 100m calculated for each survey. <br> 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. <br> <br> <br> The size of each circle on this map increases with the calculated median number of marine litter per beach, per 100m & to 1 survey. <br> The median litter abundance values displayed in the legend correspond to the 50 and 99 percentiles and the maximum value. <br> <br> More information is available in the attached documents. <br> <br> <br> Warning: <br> - 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. <br> - This map was created to give an idea of the distribution of beach litter between 2001 and 2020 in a synthetic manner. NOT ALL BEACHES MAY HAVE DATA FOR THE ENTIRE PERIOD, SO IT IS NOT POSSIBLE TO MAKE A COMPARISON BETWEEN BEACHES.
DOI: 10.6092/jaxt-5g53
title: Black Sea - Contaminants aggregated datasets 1974/2017 v2018

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). This regional aggregated dataset contains all unrestricted EMODnet Chemistry data on contaminants (48 parameters), and covers the Black Sea with 21504 CDI records divided per matrices: 7 biota profiles, 19677 water profiles, 1820 sediment profiles. Vertical profiles temporal range is from 1974-08-24 to 2017-10-06. Data were aggregated and quality controlled by ‘National Institute for Marine Research and Development "Grigore Antipa"’ from Romania.
description: Regional datasets concerning contaminants are automatically harvested. Parameter names in these datasets are based on P01, BODC Parameter Usage Vocabulary, which is available at: http://seadatanet.maris2.nl/bandit/browse_step.php . Each measurement value has a quality flag indicator. The resulting data collections for each Sea Basin are harmonised, and the collections are quality controlled by EMODnet Chemistry Regional Leaders using ODV Software and following a common methodology for all Sea Regions."" Harmonisation means that: (1) unit conversion is carried out to express contaminant concentrations with a limited set of measurement units (according to EU directives 2013/39/UE; Comm. Dec. EU 2017/848) and (2) merging of variables described by different “local names” ,but corresponding exactly to the same concepts in BODC P01 vocabulary.""The harmonised dataset can be downloaded as ODV spreadsheet (TXT file), which is composed of metadata header followed by tab separated values. This worksheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV ).""The same dataset is offered also as XLSX file in a long/vertical format, in which each P01 measurement is a record line. Additionally, there are a series of columns that split P01 terms in subcomponents (measure, substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications users (e.g. LibreOffice Calc).The 48 parameter names in this metadata record are based on P02, SeaDataNet Parameter Discovery Vocabulary, which is available at: http://seadatanet.maris2.nl/v_bodc_vocab_v2/vocab_relations.asp?lib=P02 .""Detailed documentation will be published soon.""The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.6092/jbge-hy83
title: Black Sea - Contaminants aggregated datasets 1974/2019 v2021

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). This regional aggregated dataset contains all unrestricted EMODnet Chemistry data on contaminants; temperature, salinity and additional sampling parameters are included when available. The spatial coverage is the Black Sea with 20693 CDI records divided per matrices: 18834 water profiles, 1852 sediment profiles and 7 biota profiles. Vertical profiles temporal range is from 1974-08-24 to 2019-12-08 for water, from 1990-07-30 to 2017-10-02 for sediment and from 2008-05-15 to 2008-08-15. Data were harmonised and quality controlled by ‘National Institute for Marine Research and Development "Grigore Antipa"’ from Romania. <br> Regional datasets concerning contaminants are automatically harvested. Parameter names in these datasets are based on P01, BODC Parameter Usage Vocabulary, which is available at: http://seadatanet.maris2.nl/bandit/browse_step.php . Each measurement value has a quality flag indicator. The resulting data collections for each Sea Basin are harmonised, and the collections are quality controlled by EMODnet Chemistry Regional Leaders using ODV Software and following a common methodology for all Sea Regions. <br> Harmonisation means that: (1) unit conversion is carried out to express contaminant concentrations with a limited set of measurement units (according to EU directives 2013/39/UE; Comm. Dec. EU 2017/848) and (2) merging of variables described by different “local names”, but corresponding exactly to the same concepts in BODC P01 vocabulary.<br> Detailed documentation is available at: https://doi.org/10.6092/8b52e8d7-dc92-4305-9337-7634a5cae3f4 <br> The harmonised dataset can be downloaded as ODV spreadsheet (TXT file), which is composed of metadata header followed by tab separated values. This worksheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV ).<br> The same dataset is offered also as TXT file in a long/vertical format, in which each P01 measurement is a record line. Additionally, there are a series of columns that split P01 terms in subcomponents (measure, substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications users (e.g. LibreOffice Calc).<br> The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search
DOI: 10.6092/5rns-2z84
title: Black Sea - Danube Delta - DIVAnd 4D seasonal analysis of Water body chlorophyll-a 2001/2018 v2021

description: Water body chlorophyll-a - Seasonal Climatology for Danube Delta (NW Black Sea) for the period 2000-2018 on the domain: Lon E28.5-30.5°E, Lat N43.7-45.6°N. (winter: December-February, - spring: March-May, - summer: June-August, - autumn: September-November)<br> Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network.<br> Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.5, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length of 47.730km and vertical correlation length of 45m were applied. Depth range: 0, 2.0, 4.0, 6.0, 8.0, 10.0, 15.0, 20.0, 25.0, 30.0 m. Units: mg/m^3. <br> The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees.
DOI: 10.6092/qvgr-bj78
title: Black Sea - Danube Delta - DIVAnd 4D seasonal analysis of Water body dissolved inorganic nitrogen (DIN) 1980/2018 v2021

description: Water body dissolved inorganic nitrogen (DIN) - - Seasonal Climatology for Danube Delta (NW Black Sea) for the period 1980-2018 on the domain: Lon E28.5-30.5°E, Lat N43.7-45.6°N. (winter: December-February, - spring: March-May, - summer: June-August, - autumn: September-November).<br> Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network.<br> Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.5, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length of 47.730km and vertical correlation length of 45m were applied. Depth range: 0, 2.0, 4.0, 6.0, 8.0, 10.0, 15.0, 20.0, 25.0, 30.0, 40.0, 50.0. Units: umol/l. <br> The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees.
DOI: 10.6092/7qst-j180
title: Black Sea - Danube Delta - DIVAnd 4D seasonal analysis of Water body dissolved oxygen concentration 1970/2018 v2021

description: Water body dissolved oxygen concentration - Seasonal Climatology for Danube Delta (NW Black Sea) for the period 1970-2018 on the domain: Lon E28.5-30.5°E, Lat N43.7-45.6°N. (winter: December-February, - spring: March-May, - summer: June-August, - autumn: September-November).<br> Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network.<br> Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.5, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length of 47.730km and vertical correlation length of 45m were applied. Depth range: 0, 2.0, 4.0, 6.0, 8.0, 10.0, 15.0, 20.0, 25.0, 30.0, 40.0, 50.0. Units: umol/l. <br> The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees.
DOI: 10.6092/2xd1-zp93
title: Black Sea - Danube Delta - DIVAnd 4D seasonal analysis of Water body phosphate 1970/2018 v2021

description: Water body phosphate - Seasonal Climatology for Danube Delta (NW Black Sea) for the period 1970-2018 on the domain: Lon E28.5-30.5°E, Lat N43.7-45.6°N. (winter: December-February, - spring: March-May, - summer: June-August, - autumn: September-November).<br> Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network.<br> Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.5, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length of 47.730km and vertical correlation length of 45m were applied. Depth range: 0, 2.0, 4.0, 6.0, 8.0, 10.0, 15.0, 20.0, 25.0, 30.0, 40.0, 50.0 m. Units: umol/l. <br> The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees.
DOI: 10.6092/xyqv-e591
title: Black Sea - Danube Delta - DIVAnd 4D seasonal analysis of Water body silicate 1970/2018 v2021

description: Water body silicate - Seasonal Climatology for Danube Delta (NW Black Sea) for the period 1970-2018 on the domain: Lon E28.5-30.5°E, Lat N43.7-45.6°N. (winter: December-February, - spring: March-May, - summer: June-August, - autumn: September-November).<br> Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network.<br> Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.5, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length of 47.730km and vertical correlation length of 45m were applied. Depth range: 0, 2.0, 4.0, 6.0, 8.0, 10.0, 15.0, 20.0, 25.0, 30.0, 40.0, 50.0 m. Units: umol/l. <br> The horizontal resolution of the produced DIVAnd maps grids is 0.01 degrees.
DOI: 10.6092/3da98812-0b51-40ca-a95b-3f43de243c74
title: Black Sea - DIVA 4D 6-year seasonal analysis of Water body chlorophyll-a 1990/2018 v2021

description: Moving 6-year analysis of Water_body_chlorophyll-a in the Black Sea for each season: spring (March-May), summer (June-August), autumn (September-November), winter (December-February). Every year of the time dimension corresponds to the 6-years centred average of each season.<br>6-years periods span:<br>- from 1990-1995 until 2012-2017 (spring),<br>- from 1990-1995 until 2013-2018 (summer),<br>- from 1990-1995 until 2013-2018 (autumn),<br>- from 1990-1995 until 2011-2016 (winter).<br>Depth range (IODE standard depths): -50.0, -40.0, -30.0, -20.0, -10.0, -5.0, -0.0.<br>Description of DIVA analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. GEBCO 1min topography is used for the contouring preparation. Analysed field masked using relative error threshold 0.3 and 0.5 DIVA settings: signal-to-noise ratio and correlation length were estimated using data mean distance as a minimum (for L) and vertically filtered. Log transformation was used in the analyses. Background field: the data mean value is subtracted from the data. Detrending of data: no, Advection constraint applied: no. Units: umol/l.<br>The entire set of related maps can be found in the viewing service: http://ec.oceanbrowser.net/emodnet/
DOI: 10.6084/m9.figshare.22216954.v1
title: Optical_Properties_Fat_Muscle_Tendon_Nerve.xlsx

description: Optical properties of rat and human fat, muscle, tendon and nerve tissues determined using a dual-beam integrating sphere and the inverse adding-doubling method.
DOI: 10.6084/m9.figshare.22722694.v1
title: Reflectance_Transmittance_Fat_Muscle_Tendon_Nerve.xlsx

description: Reflectance, transmittance, and sample thickness data used to determine the optical properties of rat and human fat, muscle, tendon and nerve tissues determined using a dual-beam integrating sphere and the inverse adding-doubling method.
DOI: 10.6092/b03fe5df-652f-4eac-8dff-cef2cadad6b8
title: Black Sea - DIVA 4D 6-year seasonal analysis of Water body dissolved inorganic nitrogen (DIN) 1990/2018 v2021

description: Moving 6-year analysis of Water_body_dissolved_inorganic_nitrogen_(DIN) in the Black Sea.for each season: spring (March-May), summer (June-August), autumn (September-November), winter (December-February). Every year of the time dimension corresponds to the 6-years centred average of each season.<br>6-years periods span:<br>- from 1990-1995 until 2013-2018 (spring),<br>- from 1990-1995 until 2013-2018 (summer),<br>- from 1990-1995 until 2013-2018 (autumn),<br>- from 1990-1995 until 2011-2016 (winter).<br>Depth range (IODE standard depths): -100.0, -75.0, -50.0,-40.0, -30.0, -20.0, -10.0, -5.0, -0.0. Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network. Description of DIVA analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. GEBCO 1min topography is used for the contouring preparation. Analysed field masked using relative error threshold 0.3 and 0.5 DIVA settings: signal-to-noise ratio and correlation length were estimated using data mean distance as a minimum (for L) and vertically filtered. Background field: the data mean value is subtracted from the data. Detrending of data: no, Advection constraint applied: no. Units: umol/l.<br>The entire set of related maps can be found in the viewing service: http://ec.oceanbrowser.net/emodnet/ .
DOI: 10.6092/1c3ae65f-ab75-4ce0-9485-e9a4383581c1
title: Black Sea - DIVA 4D 6-year seasonal analysis of Water body dissolved oxygen concentration 1970/2020 v2021

description: Moving 6-year analysis of Water_body_dissolved_oxygen_concentration in the Black Sea for each season: spring (March-May), summer (June-August), autumn (September-November), winter (December-February). Every year of the time dimension corresponds to the 6-years centred average of each season.<br> 6-years periods span: from 1970-1975 until 2015-2020<br> Depth range (IODE standard depths): -250.0, -200.0, -150.0, -125.0, -100.0, -75.0, -50.0,-40.0, -30.0, -20.0, -10.0, -5.0, -0.0.<br> Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network.<br> Description of DIVA analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. GEBCO 1min topography is used for the contouring preparation. Analysed field masked using relative error threshold 0.3 and 0.5 DIVA settings: signal-to-noise ratio and correlation length were estimated using data mean distance as a minimum (for L) and vertically filtered. Log transformation was used in the analyses. Background field: the data mean value is subtracted from the data. Detrending of data: no, Advection constraint applied: no.<br> Units: umol/l.<br> The entire set of related maps can be found in the viewing service: http://ec.oceanbrowser.net/emodnet/