cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6092/3526bec3-a941-4888-bb10-97fe5ceab56c
title: Baltic Sea DIVA 4D analysis of Water_body_nitrate_plus_nitrite

description: The "Baltic Sea DIVA 4D analysis of Water_body_nitrate_plus_nitrite" is the 4D gridded analysis for Nitrate+nitrite concentration parameters in the water column in the Baltic Sea. The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Dynamic plots obtained as a combination of WPS/WMS (Density information available by colours, time series and vertical profiles) were uploaded to 'EMODnet Chemistry Viewing and Downloading Service'. Every step of the time dimension corresponds to a 10-year average moving from 1960 to 2014. The depth dimension spans from surface to the seafloor with 21 vertical levels. The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.6092/452eed6d-70b5-4afd-80fb-286cf76f4ce5
title: Baltic Sea DIVA 4D analysis of Water_body_phosphate

description: The "Baltic Sea DIVA 4D analysis of Water_body_phosphate" is the 4D gridded analysis for Phosphate concentration parameters in the water column in the Baltic Sea. The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Dynamic plots obtained as a combination of WPS/WMS (Density information available by colours, time series and vertical profiles) were uploaded to 'EMODnet Chemistry Viewing and Downloading Service'. Every step of the time dimension corresponds to a 10-year average moving from 1960 to 2014. The depth dimension spans from surface to the seafloor with 21 vertical levels. The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.6092/47be2153-72ef-444b-9fb9-4d21bfca0ab9
title: Baltic Sea DIVA 4D analysis of Water_body_silicate

description: The "Baltic Sea DIVA 4D analysis of Water_body_silicate" is the 4D gridded analysis for Silicate concentration parameters in the water column in the Baltic Sea. The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Dynamic plots obtained as a combination of WPS/WMS (Density information available by colours, time series and vertical profiles) were uploaded to 'EMODnet Chemistry Viewing and Downloading Service'. Every step of the time dimension corresponds to a 10-year average moving from 1960 to 2014. The depth dimension spans from surface to the seafloor with 21 vertical levels. The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.6092/6892a8fe-e55b-4b0e-8c4a-bbffbc8e8c23
title: Baltic Sea DIVA 4D analysis of Water_body_total_nitrogen

description: The "Baltic Sea DIVA 4D analysis of Water_body_total_nitrogen" is the 4D gridded analysis for Dissolved total and organic nitrogen concentrations in the water column in the Baltic Sea. The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Dynamic plots obtained as a combination of WPS/WMS (Density information available by colours, time series and vertical profiles) were uploaded to 'EMODnet Chemistry Viewing and Downloading Service'. Every step of the time dimension corresponds to a 10-year average moving from 1960 to 2014. The depth dimension spans from surface to the seafloor with 21 vertical levels. The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.6092/b6b7cf62-c4ab-434c-8420-27c0f12afa5e
title: Baltic Sea DIVA 4D analysis of Water_body_total_phosphorus

description: The "Baltic Sea DIVA 4D analysis of Water_body_total_phosphorus" is the 4D gridded analysis for Dissolved total or organic phosphorus concentration in the water column in the Baltic Sea. The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Dynamic plots obtained as a combination of WPS/WMS (Density information available by colours, time series and vertical profiles) were uploaded to 'EMODnet Chemistry Viewing and Downloading Service'. Every step of the time dimension corresponds to a 10-year average moving from 1960 to 2014. The depth dimension spans from surface to the seafloor with 21 vertical levels. The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.13120/4e4c36ce-fc86-4df7-983a-dae822ed0fe1
title: Beach litter - Beaches locations and litter list used - Official monitoring 2001/2020 v2021

description: This visualization product displays beaches locations where the Marine Strategy Framework Directive (MSFD) monitoring protocol has been applied to collate data on macrolitter (&gt; 2.5 cm).<br>Reference lists associated to those protocols have been indicated with different colors in the map.<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> - 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. 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><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: 10.13120/7c28ac38-16cf-423f-9778-6ee05b2ad1e6
title: Beach litter - Beaches locations and litter list used - Other sources 2001/2020 v2021

description: This visualization product displays beaches locations where non-MSFD monitoring surveys, research & cleaning operations have been applied to collate data on macrolitter (&gt; 2.5 cm).<br>Reference lists associated to those protocols have been indicated with different colors in the map.<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> - 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. 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><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: 10.13120/97b27e5a-2ea0-4396-8bea-4260598e5d6b
title: Beach Litter - Composition of litter according to material categories in percent normalized per beach per year - Official monitoring 2001/2021 v2021

description: This visualization product displays beaches locations where the Marine Strategy Framework Directive (MSFD) monitoring protocol has been applied to collate data on macrolitter (&gt; 2.5 cm).<br>Reference lists associated to those protocols have been indicated with different colors in the map.<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> - 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. 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><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: 10.13120/2619e339-4f1b-4e58-81bf-28f1411da968
title: Beach Litter - Composition of litter according to material categories in percent normalized per beach per year - Other sources 2001/2020 v2021

description: This visualization product displays marine macro-litter (&gt; 2.5cm) material categories percentage per beach per year from non-MSFD monitoring surveys, research & cleaning operations.<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> - Exclusion of surveys without associated length;<br> - 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. 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> - Exclusion of the "feaces" category: it concerns more exactly the items of dog excrements in bags of the OSPAR (item code: 121) and ITA (item code: IT59) reference lists;<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 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.<br><br>To calculate percentages for each material category, formula applied is:<br>Material (%) = (∑number of items (normalized at 100 m) of each material category)*100 / (∑number of items (normalized at 100 m) of all categories)<br><br>The material categories differ between reference lists (OSPAR, TSG_ML, UNEP, UNEP_MARLIN). In order to apply a common procedure for all the surveys, the material categories have been harmonized.<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: 10.13120/8b78b4ad-80b6-4ec2-b6df-fbcdd5968413
title: Beach Litter - Median number of cigarette related items normalized per 100m & to 1 survey - UNEP_MARLIN only - Official monitoring 2012/2019 v2021

description: This visualization product displays the cigarette related items abundance of marine macro-litter (&gt; 2.5cm) per beach per year from Marine Strategy Framework Directive (MSFD) monitoring surveys related to UNEP-MARLIN data only.<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> - Selection of MSFD surveys only (exclusion of other monitoring, cleaning and research operations);<br> - Exclusion of beaches without coordinates;<br> - Selection of cigarette related items only. 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);<br> - Selection of surveys referring to the UNEP-MARLIN list: the UNEP-MARLIN protocol differs from the other types of monitoring in that cigarette butts are surveyed in a 10m square. To avoid comparing abundances from very different protocols, the choice has been made to distinguish in two maps the cigarette related items results associated with the UNEP-MARLIN list from the others;<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 cigarette related items of the survey (normalized by 100 m) = Number of cigarette related items of the survey x (100 / survey length)<br> Then, this normalized number of cigarette related items is summed to obtain the total normalized number of cigarette related items for each survey. Finally, the median abundance of cigarette related items for each beach and year is calculated from these normalized abundances of cigarette 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 cigarette related items from MSFD monitoring data (UNEP-MARLIN protocol only) 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: 10.6073/pasta/a860fcc4a5cbd4a40a0bed113169a023
title: Instrinsic water use efficiency of Ponderosa Pine of the southwestern U.S.

description: Tree rings were collected from 17 populations of ponderosa pine forests across the southwestern U.S. Carbon isotope of early wood and latewood were then analyzed for each annual ring, from 1960-2017. Intrinsic water-use efficiency (A/gs) chronologies were calculated with adjusted latewood chronologies as used in Strange et al. (2023) Global Change Biology. Details regarding the process of calculating adjusted latewood chronologies can be found in the methods section of Strange et al. (2023) Global Change Biology.
DOI: 10.13120/a753818b-d2cb-4425-96ad-c0cae6fb35d2
title: Beach Litter - Median number of cigarette related items normalized per 100m & to 1 survey - UNEP_MARLIN only - Other sources 2012/2014 v2021

description: This visualization product displays the cigarette related items abundance of marine macro-litter (&gt; 2.5cm) per beach per year from non-MSFD monitoring surveys, research & cleaning operations related to UNEP-MARLIN data only.<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> - Selection of surveys from non-MSFD monitoring, cleaning and research operations;<br> - Exclusion of beaches without coordinates;<br> - Selection of cigarette related items only. 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);<br> - Exclusion of surveys without associated length;<br> - Selection of surveys referring to the UNEP-MARLIN list: the UNEP-MARLIN protocol differs from the other types of monitoring in that cigarette butts are surveyed in a 10m square. To avoid comparing abundances from very different protocols, the choice has been made to distinguish in two maps the cigarette related items results associated with the UNEP-MARLIN list from the others;<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 cigarette related items of the survey (normalized by 100 m) = Number of cigarette related items of the survey x (100 / survey length)<br> Then, this normalized number of cigarette related items is summed to obtain the total normalized number of cigarette related items for each survey. Finally, the median abundance of cigarette related items for each beach and year is calculated from these normalized abundances of cigarette related items per survey.<br><br>Percentiles 50, 75, 95 & 99 have been calculated taking into account cigarette related items from other sources data (UNEP-MARLIN protocol only) 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/fed618e5-0bc3-4423-beba-bde0ea002082
title: Beach Litter - Median number of cigarette related items normalized per 100m & to 1 survey - without UNEP_MARLIN - Official monitoring 2001/2020 v2021

description: This visualization product displays the cigarette related items abundance of marine macro-litter (&gt; 2.5cm) per beach per year from Marine Strategy Framework Directive (MSFD) monitoring surveys without UNEP-MARLIN data.<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 cigarette related items only. 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);<br> - Exclusion of surveys referring to the UNEP-MARLIN list: the UNEP-MARLIN protocol differs from the other types of monitoring in that cigarette butts are surveyed in a 10m square. To avoid comparing abundances from very different protocols, the choice has been made to distinguish in two maps the cigarette related items results associated with the UNEP-MARLIN list from the others;<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 cigarette related items of the survey (normalized by 100 m) = Number of cigarette related items of the survey x (100 / survey length)<br> Then, this normalized number of cigarette related items is summed to obtain the total normalized number of cigarette related items for each survey. Finally, the median abundance of cigarette related items for each beach and year is calculated from these normalized abundances of cigarette 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 cigarette related items from MSFD monitoring data (excluding UNEP-MARLIN protocol) 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.