Evaluating community science sampling for microplastics in shore sediments of large river watersheds
Published by a research group from Carleton University in collaboration with Ottawariverkeeper.
A community science project in the Ottawa River Watershed in Canada involved volunteers in collecting sediment from 68 locations across 750 km. The project saw a 91% return rate of distributed kits, with 42 volunteers participating. Analysis revealed relatively low particle concentrations, influenced by factors like the watershed's large size, lower population density, and the Ottawa River's characteristics. The study highlighted the advantages of community science in large-scale freshwater research but emphasized the need for careful research design and strict quality control, particularly in lab sample processing. Community science is a valuable method for large-scale microplastic sampling.Un projet de science communautaire dans le bassin versant de la rivière des Outaouais au Canada a impliqué des bénévoles pour collecter des sédiments à 68 endroits sur 750 km. Le projet a enregistré un taux de retour de 91 % des kits distribués, avec la participation de 42 bénévoles. L'analyse a révélé des concentrations de particules relativement faibles, influencées par des facteurs tels que la grande taille du bassin versant, la faible densité de population et les caractéristiques de la rivière des Outaouais. L'étude a mis en évidence les avantages de la science communautaire dans la recherche à grande échelle sur l'eau douce, mais a souligné la nécessité d'une conception de recherche minutieuse et d'un contrôle de qualité strict, en particulier dans le traitement des échantillons en laboratoire. La science communautaire est une méthode précieuse pour l'échantillonnage de microplastiques à grande échelle.
Datasets available for download
This dataset has no data
Additional Info
| Field | Value |
|---|---|
| Last Updated | March 25, 2026, 02:07 (UTC) |
| Created | March 25, 2026, 02:07 (UTC) |
|
Domain / Topic
Domain or topic of the dataset being cataloged.
|
|
|
Title
Title for the Dataset.
|
Evaluating community science sampling for microplastics in shore sediments of large river watersheds |
|
Description
A description of the dataset.
|
Published by a research group from Carleton University in collaboration with Ottawariverkeeper. A community science project in the Ottawa River Watershed in Canada involved volunteers in collecting sediment from 68 locations across 750 km. The project saw a 91% return rate of distributed kits, with 42 volunteers participating. Analysis revealed relatively low particle concentrations, influenced by factors like the watershed's large size, lower population density, and the Ottawa River's characteristics. The study highlighted the advantages of community science in large-scale freshwater research but emphasized the need for careful research design and strict quality control, particularly in lab sample processing. Community science is a valuable method for large-scale microplastic sampling.Un projet de science communautaire dans le bassin versant de la rivière des Outaouais au Canada a impliqué des bénévoles pour collecter des sédiments à 68 endroits sur 750 km. Le projet a enregistré un taux de retour de 91 % des kits distribués, avec la participation de 42 bénévoles. L'analyse a révélé des concentrations de particules relativement faibles, influencées par des facteurs tels que la grande taille du bassin versant, la faible densité de population et les caractéristiques de la rivière des Outaouais. L'étude a mis en évidence les avantages de la science communautaire dans la recherche à grande échelle sur l'eau douce, mais a souligné la nécessité d'une conception de recherche minutieuse et d'un contrôle de qualité strict, en particulier dans le traitement des échantillons en laboratoire. La science communautaire est une méthode précieuse pour l'échantillonnage de microplastiques à grande échelle. |
|
Tags / Keywords
Keywords/tags categorizing the dataset.
|
|
|
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
|
|
|
Dataset Size
Dataset size in megabytes.
|
17756.98 |
|
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
|
|
|
Published Date
Published date of the dataset.
|
2024-08-30 |
|
Time Period Data Span (start date)
Start date of the data in the dataset.
|
|
|
Time Period Data Span (end date)
End date of time data in the dataset.
|
|
|
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
|
| Field | Value |
|---|---|
|
Access category
Type of access granted for the dataset (open, closed, service, etc).
|
public |
|
License
License used to access the dataset.
|
License not specified |
|
Limits on use
Limits on use of data.
|
|
|
Location
Location of the dataset.
|
https://ottawa-riverkeeper-open-data-ork-so.hub.arcgis.com/datasets/ork-so::evaluating-community-science-sampling-for-microplastics-in-shore-sediments-of-large-river-watersheds |
|
Data Service
Data service for accessing a dataset.
|
|
|
Owner
Owner of the dataset.
|
ork2014 |
|
Contact Point
Who to contact regarding access?
|
Ottawa Riverkeeper - Garde-rivière des Outaouais |
|
Contact Point Email
The email to contact regarding access?
|
[email protected] |
|
Publisher
Publisher of the dataset.
|
Ottawa Riverkeeper - Garde-rivière des Outaouais |
|
Publisher Email
Email of the publisher.
|
|
|
Author
Author of the dataset.
|
ork2014 |
|
Author Email
Email of the author.
|
|
|
Accessed At
Date the data and metadata was accessed.
|
2024-09-03 |
| Field | Value |
|---|---|
|
Identifier
Unique identifier for the dataset.
|
f448db39ee7c49a09777cc152685994e |
|
Language
Language(s) of the dataset
|
English |
|
Link to dataset description
A URL to an external document describing the dataset.
|
https://ottawa-riverkeeper-open-data-ork-so.hub.arcgis.com/datasets/ork-so::evaluating-community-science-sampling-for-microplastics-in-shore-sediments-of-large-river-watersheds |
|
Persistent Identifier
Data is identified by a persistent identifier.
|
|
|
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
|
|
|
Contains data about individuals
Does the data hold data about individuals?
|
|
|
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
|
|
|
Contains Indigenous Data
Does the data hold data about Indigenous communities?
|
|
|
Portal Type
Platform type of the source portal.
|
| Field | Value |
|---|---|
|
Version
Version of the datatset
|
None |
|
Source
Source of the dataset.
|
None |
|
Version notes
Version notes about the dataset.
|
|
|
Is version of another dataset
Link to dataset that it is a version of.
|
|
|
Other versions
Link to datasets that are versions of it.
|
|
|
Provenance Text
Provenance Text of the data.
|
Ottawa Riverkeeper - Garde-rivière des Outaouais |
|
Provenance URL
Provenance URL of the data.
|
|
|
Temporal resolution
Describes how granular the date/time data in the dataset is.
|
|
|
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
|
|
|
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
|
| Field | Value |
|---|---|
|
Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
|
|
|
Community Permission
Community permission (who gave permission).
|
|
|
The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
|
| Field | Value |
|---|---|
|
Number of data rows
If tabular dataset, total number of rows.
|
|
|
Number of data columns
If tabular dataset, total number of unique columns.
|
|
|
Number of data cells
If tabular dataset, total number of cells with data.
|
|
|
Number of data relations
If RDF dataset, total number of triples.
|
|
|
Number of entities
If RDF dataset, total number of entities.
|
|
|
Number of data properties
If RDF dataset, total number of unique properties used by the triples.
|
|
|
Data quality
Describes the quality of the data in the dataset.
|
|
|
Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
|
0 Comments