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We have found 116 datasets for the keyword " multiple stressors". You can continue exploring the search results in the list below.
Datasets: 103,380
Contributors: 42
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116 Datasets, Page 1 of 12
Canadian Index of Multiple Deprivation
The Canadian Index of Multiple Deprivation (CIMD) is an area-based index which used 2016 Census of Population microdata to measure four key dimensions of deprivation at the dissemination area (DA)-level: residential instability, economic dependency, situational vulnerability and ethno-cultural composition.Using factor analysis, DA-level factor scores were calculated for each dimension. Within a dimension, ordered scores were assigned a quintile value, 1 through 5, where 1 represents the least deprived and 5 represents the most deprived.The CIMD allows for an understanding of inequalities in various measures of health and social well-being. While it is a geographically-based index of deprivation and marginalization, it can also be used as a proxy for an individual. The CIMD has the potential to be widely used by researchers on a variety of topics related to socio-economic research. Other uses for the index may include: policy planning and evaluation, or resource allocation.
Impacts of coastal acidification and climate change stressors on the Atlantic sea scallop: larval supply, recruitment and adaptive capacity to multiple global change drivers
This dataset was collected in support of a Competitive Science and Research Fund project (21-CC-05-06 Impacts of coastal acidification and climate change stressors on the Atlantic sea scallop: larval supply, recruitment and adaptive capacity to multiple global change drivers) lead by Fisheries and Oceans Canada (DFO). The objective of this research is to characterize coastal environmental conditions associated with scallop spawning and larval drift in Passamaquoddy Bay, New Brunswick. This dataset includes temperature, conductivity, salinity, sigma-theta, sea pressure, and depth information taken at weekly intervals at the sampling stations. In total, this dataset represents a total of 62 CTD profiles collected across 3 sampling stations over 22 sampling days from June to October 2022. Sampling stations were selected to compare scallop recruitment signals from Chamcook Harbour, a decommissioned scallop aquaculture site in Big Bay (MS-1077) and in the middle of Passamaquoddy Bay. Data were processed in accordance with instrumentation manufacturer guidelines and DFO Ocean Data and Information Section QAQC procedures. Cite this data as: Miller, E., Quinn, B., Azetsu-Scott, K., Childs, D., Gabriel, C-E., Newhook, M. 2025. Impacts of coastal acidification and climate change stressors on the Atlantic sea scallop. Published October 2025. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B
Nunavut ringed seal monitoring
Fisheries and Oceans Canada and Environment and Climate Change Canada (Northern Contaminants program) have been working with Nunavut community Hunters and Trappers Organizations and theNunavut Wildlife Management Board consistently since 1980 to collect samples from harvested ringed seals. The majority of seals were measured in the field by Inuit hunters who recorded date of kill, sex and blubber depth at sternum (0.5 cm). The data from the harvested animals are used to evaluate stressors and overall seal health, in the Canadian Arctic.
Blue Whale - High density feeding areas
11 tagged Blue whales (Balaenoptera musculus) were tracked during the daytime movements as well as the feeding behaviour in the St. Lawrence River estuary. Kernel density was applied to derminate the high density feeding areas of all individuals combined (30, 40, 50, 60, 75, 95 %).Doniol-Valcroze T, Lesage V, Giard J, Michaud R, 2012. Challenges in marine mammal habitat modelling: evidence of multiple foraging habitats from the identification of feeding events in blue whales. Endang Species Res, Vol. 17 : 255–268, doi : 10.3354/esr00427(English version only)
Canadian Index of Multiple Deprivation 2021
The Canadian Index of Multiple Deprivation (CIMD) is an area-based index which used 2021 Census of Population microdata to measure four key dimensions of deprivation at the dissemination area (DA)-level: residential instability, economic dependency, situational vulnerability and ethno-cultural composition.Using factor analysis, DA-level factor scores were calculated for each dimension. Within a dimension, ordered scores were assigned a quintile value, 1 through 5, where 1 represents the least deprived and 5 represents the most deprived.The CIMD allows for an understanding of inequalities in various measures of health and social well-being. While it is a geographically-based index of deprivation and marginalization, it can also be used as a proxy for an individual. The CIMD has the potential to be widely used by researchers on a variety of topics related to socio-economic research. Other uses for the index may include: policy planning and evaluation, or resource allocation.*** Correction October 22, 2024 ***A correction has been made to the variables in the following downloadable 2021 CIMD index datasets : Canada, Atlantic, Quebec, Ontario, Prairies, and British-Columbia. This correction impacts all the data in these datasets.
Cumulative risk maps for marine habitats of Atlantic Canada
In marine ecosystems, the combination of multiple, co-occurring human activities can degrade habitats, undermining the very ecosystem services on which human societies depend. To examine the combined risk to marine habitats from multiple, overlapping human activities and stressors in Atlantic Canadian waters, a cumulative habitat risk assessment was conducted across four bioregions: (1) Scotian Shelf-Bay of Fundy, (2) Northern Gulf of St. Lawrence (3) Southern Gulf of St. Lawrence and (4) Newfoundland and Labrador. This analysis combined spatial information for 20 different marine habitats and 36 human activities across five different sectors (climate change, land-based, marine, coastal, and commercial fishing) using a spatially explicit, exposure-consequence risk framework. This dataset provides the cumulative habitat risk map for Atlantic Canadian marine waters at a 1 km² resolution, as well as the habitat map used in the risk analysis. This project was funded by Fisheries and Oceans Canada through a Competitive Science Research Fund (CSRF) grant. For further information concerning specifics of the maps and methods, contact the data provider.ReferencesArkema, K.K., Verutes, G., Bernhardt, J.R., et al. 2014. Assessing habitat risk from human activities to inform coastal and marine spatial planning: a demonstration in Belize. Environ. Res. Lett. 9(11): 114016.Cite this data as: Kelly, N.E. and Murray, C. Cumulative risk maps for marine habitats of Atlantic Canada. Published: April 2026. Coastal Ecosystems Science Division, Maritimes Region, Fisheries and Oceans Canada, Dartmouth NS.
Historical Flood Events (HFE)
Representation of the causes of flooding events in the form of multiple points. The point groupings correspond to the set of locations that were affected by the same event. The inventory of past flooding events was compiled from various public sources and standardized into a common data model. Sources used are included in the data. Event locations have been extensively revised to have one location per location reported as affected by the flood. Flood events for which no location was included in the sources used are positioned on the place name of the location affected by the flood. The event positions do not indicate where the flooding occurred. Flood events that affected more than one locality are represented by a multipoint.For each event after January 1, 1980 caused by a heavy rainfall or a coastal storm , a precipitation analysis document, a precipitation animation and the precipitation data are available. These documents are the result of a collaboration with Environment and Climate Change Canada.Disclaimer:It should be noted that no consultation was conducted with the various providers and stakeholders of the historic flood data. Disparities in content among the various sources result in an incomlete product. No warranty is given as to the accuracy or completeness of the information provided. The absence of information does not mean that no flooding has occurred.
National Human Settlement - Physical Exposure
The Physical Exposure component of the National Human Settlement Layer (NHSL), defined here as the ‘Physical Exposure Model’, includes a delineation of settled areas and related land use across Canada, as well as information about buildings, persons, and building replacement values (structure and contents) within those areas.Buildings within the inventory are classified using a combination of occupancy types, engineering-based construction types adopted for Canada, and design levels representing the approximate building code requirements at the time of construction. The inventory is derived from detailed housing statistics provided at the dissemination area level as part of the 2016 national census and from georeferenced business listings. Building populations at different times of day are estimated for standard daytime hours (9am-5pm); for morning and evening commute hours (7am-9am; 5pm-7pm), and; for nighttime hours when the majority of people are home (7pm-7am). Replacement values are provided for structural, nonstructural, and contents components of buildings, based on industry replacement costs for representative regions across Canada.The physical exposure model is provided in two formats: (1) According to settled areas (i.e., polygons), which are areas that approximately delineate clusters of buildings across Canada. Summary statistics about buildings and populations within each settled area boundary are provided. (2) According to building archetypes (i.e., points) within settled areas. These are represented as point locations at the centroid of the corresponding settled area, and each settled area can have multiple point features corresponding to different building archetypes present within that area. In total, the model characterizes 35.2 million people in 9.7 million buildings across 390,000 locations with a total approximate replacement value of $8.2 trillion (2019 CAD) including contents.
Cumulative impacts from anthropogenic activities and stressors on marine ecosystems in Pacific Canada
Fisheries and Oceans Canada has conducted a cumulative human impact mapping analysis for Pacific Canada to support ongoing Marine Spatial Planning. Cumulative impact mapping (CIM) combines spatial information on human activities, habitats, and a matrix of vulnerability weights into an intuitive relative ‘cumulative impact score’ that shows where cumulative human impacts are greatest and least. To map cumulative impacts, a recently developed ecosystem vulnerability assessment for Pacific Canadian waters (Murray et al. 2022) was combined with spatial information on thirty-eight (38) different habitat types and forty-five (45) human activities following the methodology from Halpern et al.(2008) and Murray et al. (2015). The cumulative impact map is provided in a 1x1 km grid used for oceans management by Fisheries and Oceans Canada. For further information, please contact the data provider.
Earthquake Epicentres - 250k
This layer is part of the Geological Survey of Canada's earthquake monitoring network. There are some blank fields toward the beginning of the listing, from the time the network was being installed and hence parameters were often unknown. Also, all depths in the table are "fixed" to a depth which is an integer multiple of 5km, according to lowest obtainable residuals and known crustal structure. The number and magnitude of located events are also dependent on the time recorded, as the magnitude threshold lowered as more stations were installed. The larger, potentially damaging earthquakes, however, were likely recorded from the inception of the network as these events produce waves which reach the entire western network.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)
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