cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13120/ad373548-8425-47d2-b1bd-e9bee1797df3
title: Beach litter - Median number of cigarette related items normalized per 100m & to 1 survey - without UNEP_MARLIN - Other sources 2001/2024 v2025
title: bl_cigarette_other

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 without UNEP-MARLIN data.


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 processings 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;

- 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, the European Threshold Value for Macro Litter on Coastlines and the Joint list of litter categories for marine macro-litter monitoring from JRC (these three documents are attached to this metadata);

- Exclusion of surveys without associated length;

- 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;

- 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 cigarette related items of the survey (normalized by 100 m) = Number of cigarette related items of the survey x (100 / survey length)

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.


Percentiles 50, 75, 95 & 99 have been calculated taking into account cigarette related items from other sources data (excluding UNEP-MARLIN protocol) for all years.


More information is available in the attached documents.


Warning: the absence of data on the map does not necessarily mean that they do not exist, but that no information has been entered in the Marine Litter Database for this area.
DOI: 10.15468/dl.qcfept
title: Occurrence Download

description: A dataset containing 617 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zoysia japonica Steud.",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 617 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019686-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13120/a3524200-7a7f-4572-bb4c-e07d767ca174
title: Micro litter - Density per net normalized in grams per km² - Research and monitoring protocols 2011/2023 v2025
title: mlf_density_g_km2_monitoring

description: This visualization product displays the density of floating micro-litter per net normalized in grams per km² per year from research and monitoring protocols.
EMODnet Chemistry included the collection of marine litter in its 3rd phase. Before 2021, there was no coordinated effort at the regional or European scale for micro-litter. Given this situation, EMODnet Chemistry proposed to adopt the data gathering and data management approach as generally applied for marine data, i.e., populating metadata and data in the CDI Data Discovery and Access service using dedicated SeaDataNet data transport formats. EMODnet Chemistry is currently the official EU collector of micro-litter data from Marine Strategy Framework Directive (MSFD) National Monitoring activities (descriptor 10).
A series of specific standard vocabularies or standard terms related to micro-litter have been added to SeaDataNet NVS (NERC Vocabulary Server) Common Vocabularies to describe the micro-litter.
European micro-litter data are collected by the National Oceanographic Data Centres (NODCs). Micro-litter map products are generated from NODCs data after a test of the aggregated collection including data and data format checks and data harmonization.

A filter is applied to represent only micro-litter sampled according to research and monitoring protocols as MSFD monitoring.

Densities were calculated for each net using the following calculation:
Density (weight of particles per km²) = Micro-litter weight / (Sampling effort (km) * Net opening (cm) * 0.00001)

When information about the sampling effort (km) was lacking and point coordinates were known (start and end of the sampling), the sampling effort was calculated using the PostGIS ST_DistanceSpheroid function with a WGS84 measurement spheroid.
When the weight of microlitters or the net opening was not filled, it was not possible to calculate the density.

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

Warning: the absence of data on the map does not necessarily mean that they do not exist, but that no information has been entered in the National Oceanographic Data Centre (NODC) for this area.
DOI: 10.3886/e184341v1
title: Data and Code for: Emotional and Behavioral Impacts of Telementoring and Homeschooling Support on Children

description: We examine the emotional and behavioral impacts of a randomized telementoring intervention on Bangladeshi primary school-aged children during COVID-19 school closures. We measured the prevalence of emotional, conduct, hyperactivity/inattention, and peer-relation problems among children twice. We found significant reductions in conduct and hyperactivity problems among the treated one month after the intervention ended. However, these impacts disappeared after one year. We also observed significant deterioration in the mental health problems of all children. These results highlight that remote learning can prevent mental health problems among children in the short term, but sustained support is necessary to effectively address the problems.
DOI: 10.3886/e184341
title: Data and Code for: Emotional and Behavioral Impacts of Telementoring and Homeschooling Support on Children

description: We examine the emotional and behavioral impacts of a randomized telementoring intervention on Bangladeshi primary school-aged children during COVID-19 school closures. We measured the prevalence of emotional, conduct, hyperactivity/inattention, and peer-relation problems among children twice. We found significant reductions in conduct and hyperactivity problems among the treated one month after the intervention ended. However, these impacts disappeared after one year. We also observed significant deterioration in the mental health problems of all children. These results highlight that remote learning can prevent mental health problems among children in the short term, but sustained support is necessary to effectively address the problems.
DOI: 10.3886/e184341v2
title: Data and Code for: Emotional and Behavioral Impacts of Telementoring and Homeschooling Support on Children

description: We examine the emotional and behavioral impacts of a randomized telementoring intervention on Bangladeshi primary school-aged children during COVID-19 school closures. We measured the prevalence of emotional, conduct, hyperactivity/inattention, and peer-relation problems among children twice. We found significant reductions in conduct and hyperactivity problems among the treated one month after the intervention ended. However, these impacts disappeared after one year. We also observed significant deterioration in the mental health problems of all children. These results highlight that remote learning can prevent mental health problems among children in the short term, but sustained support is necessary to effectively address the problems.
DOI: 10.13120/a44654a2-18f1-4145-b6ca-24073c9517a8
title: Beach litter - Number of surveys & temporal coverage per beach - EU-MSFD monitoring 2001/2023 v2025
title: bl_temporalcoverage_numbersurveys_monitoring

description: This visualization product displays the number of Marine Strategy Framework Directive (MSFD) monitoring surveys and the associated temporal coverage per beach.


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 processings 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.


More information is available in the attached documents.


Warning: the absence of data on the map does not necessarily mean that they do not exist, but that no information has been entered in the Marine Litter Database for this area.
DOI: 10.13120/81526981-ab80-4e6d-8c32-d0a5935cbf5e
title: Micro litter - Nets location & mesh size used - Other specific protocols 2011/2021 v2025
title: mlf_location_other

description: This visualization product displays nets locations (start positions) where specific protocols have been applied to collate data on microlitter.
Mesh size used with these protocols have been indicated with different colors in the map.
EMODnet Chemistry included the collection of marine litter in its 3rd phase. Before 2021, there was no coordinated effort at the regional or European scale for micro-litter. Given this situation, EMODnet Chemistry proposed to adopt the data gathering and data management approach as generally applied for marine data, i.e., populating metadata and data in the CDI Data Discovery and Access service using dedicated SeaDataNet data transport formats. EMODnet Chemistry is currently the official EU collector of micro-litter data from Marine Strategy Framework Directive (MSFD) National Monitoring activities (descriptor 10).
A series of specific standard vocabularies or standard terms related to micro-litter have been added to SeaDataNet NVS (NERC Vocabulary Server) Common Vocabularies to describe the micro-litter.
European micro-litter data are collected by the National Oceanographic Data Centres (NODCs). Micro-litter map products are generated from NODCs data after a test of the aggregated collection including data and data format checks and data harmonization.

A filter is applied to represent only micro-litter sampled according to a very specific protocol such as the Volvo Ocean Race (VOR) or Oceaneye.

Warning: the absence of data on the map does not necessarily mean that they do not exist, but that no information has been entered in the National Oceanographic Data Centre (NODC) for this area.
DOI: 10.13120/5569270d-1ffc-4e14-8fa8-6760b048fc81
title: Beach litter - Composition of litter according to material categories in percent normalized per beach per year - EU-MSFD monitoring 2001/2023 v2025
title: bl_materialcategories_monitoring

description: This visualization product displays marine macro-litter (&gt; 2.5cm) material categories percentages per beach per year from the 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 processings 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 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, the European Threshold Value for Macro Litter on Coastlines and the Joint list of litter categories for marine macro-litter monitoring from JRC (these three documents are attached to this metadata);
 - 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;
 - 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.
 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.
 
 
To calculate the percentage for each material category, formula applied is:
Material (%) = (∑number of items (normalized at 100 m) of each material category)*100 / (∑number of items (normalized at 100 m) of all categories)

The material categories differ between reference lists (OSPAR, ITA, TSG-ML, UNEP, UNEP-MARLIN, JLIST). In order to apply a common procedure for all the surveys, the material categories have been harmonized.

More information is available in the attached documents.


Warning: the absence of data on the map does not necessarily mean that they do not exist, but that no information has been entered in the Marine Litter Database for this area.
DOI: 10.15468/dl.68vza3
title: Occurrence Download

description: A dataset containing 1248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 1248 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019688-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13120/703092d5-9f37-456e-a302-2ebb2beb7a46
title: Seafloor litter - Plastic bags density normalized per km² 2011/2024 v2025
title: sl_plasticbags

description: This visualization product displays plastic bags density per trawl.

EMODnet Chemistry included the collection of marine litter in its 3rd phase. Since the beginning of 2018, data of seafloor litter collected by international fish-trawl surveys 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 (OSPAR and MEDITS protocols) and reference lists used on a European scale. Moreover, within the same protocol, different gear types are deployed during bottom trawl surveys.

In cases where the wingspread and/or number of items were/was unknown, it was not possible to use the data because these fields are needed to calculate the density. Data collected before 2011 are concerned by this filter.

When the distance reported in the data was null, it was calculated from:
- the ground speed and the haul duration using the following formula: Distance (km) = Haul duration (h) * Ground speed (km/h);
- the trawl coordinates if the ground speed and the haul duration were not filled in.

The swept area was calculated from the wingspread (which depends on the fishing gear type) and the distance trawled:
Swept area (km²) = Distance (km) * Wingspread (km)

Densities were calculated on each trawl and year using the following computation:
Density of plastic bags (number of items per km²) = ∑Number of plastic bags related items / Swept area (km²)

Percentiles 50, 75, 95 & 99 were calculated taking into account data for all years.

The list of selected items for this product is attached to this metadata.
Information on data processing and calculation is detailed in the attached methodology document.

Warning: the absence of data on the map does not necessarily mean that they do not exist, but that no information has been entered in the Marine Litter Database for this area.
DOI: 10.14284/739
title: Temporary acoustic network to track European eel (Anguilla anguilla) escapement from Mondego River Basin.

description: Temporary acoustic network to track downstream migration of silver eels (Anguilla anguilla) from the River Mondego (Portugal). Eel downstream migration was monitored with automatic receivers (VR2W - listening at 69kHz) deployed at four locations along the river course, from the first impassable obstacle (downstream Raiva Dam) up to the river mouth (67 km).
DOI: 10.13120/148234c3-3380-4aad-b7c8-aca282e5ad15
title: Micro litter - Density per net normalized per km² - Research and monitoring protocols 2011/2023 v2025
title: mlf_density_nb_km2_monitoring

description: This visualization product displays the density of floating micro-litter per net normalized per km² per year from research and monitoring protocols.
EMODnet Chemistry included the collection of marine litter in its 3rd phase. Before 2021, there was no coordinated effort at the regional or European scale for micro-litter. Given this situation, EMODnet Chemistry proposed to adopt the data gathering and data management approach as generally applied for marine data, i.e., populating metadata and data in the CDI Data Discovery and Access service using dedicated SeaDataNet data transport formats. EMODnet Chemistry is currently the official EU collector of micro-litter data from Marine Strategy Framework Directive (MSFD) National Monitoring activities (descriptor 10).
A series of specific standard vocabularies or standard terms related to micro-litter have been added to SeaDataNet NVS (NERC Vocabulary Server) Common Vocabularies to describe the micro-litter.
European micro-litter data are collected by the National Oceanographic Data Centres (NODCs). Micro-litter map products are generated from NODCs data after a test of the aggregated collection including data and data format checks and data harmonization.

A filter is applied to represent only micro-litter sampled according to research and monitoring protocols as MSFD monitoring.

Densities were calculated for each net using the following calculation:
Density (number of particles per km²) = Micro-litter count / (Sampling effort (km) * Net opening (cm) * 0.00001)

When information about the sampling effort (km) was lacking and point coordinates were known (start and end of the sampling), the sampling effort was calculated using the PostGIS ST_DistanceSpheroid function with a WGS84 measurement spheroid.
When the number of micro-litters or the net opening was not filled, it was not possible to calculate the density.

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

Warning: the absence of data on the map does not necessarily mean that they do not exist, but that no information has been entered in the National Oceanographic Data Centre (NODC) for this area.
DOI: 10.15468/dl.qwtzf6
title: Occurrence Download

description: A dataset containing 5437 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Notiophilus rufipes Curtis, 1829"
 ]
}

 The dataset includes 5437 records from 209 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019689-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2x3a7f
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-88.11270 -15.95792,-25.88730 -15.95792,-25.88730 8.95792,-88.11270 8.95792,-88.11270 -15.95792))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hymenolobium excelsum Ducke"
 ]
}

 The dataset includes 60 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019690-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.