Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
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These data are collected as part of the Fisheries and Oceans Canada (DFO) Pacific Science Enterprise Centre (PSEC) Community Stream Monitoring (CoSMo) project, which is a collaborative monitoring initiative that strives to produce quality, long-term datasets for use in resource management, research, and stewardship. We currently monitor streams in southwest BC in the region spanning from Howe Sound, south to the USA border, and east to Abbotsford, primarily using automated dataloggers. This project is made possible thanks to the many stewardship groups in the region whose dedicated volunteers are committed to protecting, conserving, and educating the public about their local streams.
We rely on volunteers to download the data from the dataloggers. If you download and/or use the CoSMo data, we would appreciate if you could send a quick email to Nikki Kroetsch (Nikki.Kroetsch@dfo-mpo.gc.ca) with a brief (1-2 sentence) description of what you will be using the data for. Though not a requirement for using the data, this information reassures our volunteers that their data collection efforts are appreciated and worthwhile, which motivates them to continue to help collect the data.
Partner Organizations: Alouette River Management Society, Cariboo Heights Forest Preservation Society, Cougar Creek Streamkeepers, City of Surrey, Bowen Island Fish and Wildlife Club, West Vancouver Streamkeepers, Stoney Creek Environment Committee, City of Port Moody, Capilano Golf/Country Club, Eagle Creek Streamkeepers, North Shore Streamkeepers, Nicomekl Enhancement Society, Hoy/Scott Watershed Society, Hyde Creek Watershed Society, WaterWealth Project, Univ. of BC, Burrard Inlet Marine Enhancement Society, Yorkson Watershed Enhancement Society, Johnston Heights Secondary School (Surrey), Seymour Salmonid Society, Still Creek Streamkeepers, PSEC staff
Dedicated volunteers (not associated with an organization) who steward Carlson Creek, Mosquito Creek, McDonald Creek, and McNally Creek.
The report provides a snapshot of the social media usage trends amongst online Canadian adults based on an online survey of 1500 participants. Canada continues to be one of the most connected countries in the world. An overwhelming majority of online Canadian adults (94%) have an account on at least one social media platform. However, the 2022 survey results show that the COVID-19 pandemic has ushered in some changes in how and where Canadians are spending their time on social media. Dominant platforms such as Facebook, messaging apps and YouTube are still on top but are losing ground to newer platforms such as TikTok and more niche platforms such as Reddit and Twitch.
Explore real-time and historical water level and flow (discharge) data collected at over 7700 hydrometric stations across Canada.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Data set used to conduct the research presented in the manuscript entitled "The influence of permafrost and other environmental controls on stream thermal sensitivity across Yukon, Canada", submitted to the journal Hydrology and Earth System Science.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
i. .\File_Mapping.csv: This file relates historical reconstructed hydrology streamflow from the U.S. Army Corps of Engineers () to the appropriate stochastic streamflow file for disaggregation of streamflow. Column A is an assigned ID, column B is named “Stochastic” and is the stochastic streamflow file needed for disaggregation, column c is called “RH_Ratio_Col” and is the name of the column in the reconstructed hydrology dataset associated with a stochastic streamflow file, and column D is named “Col_Num” and is the column number in the reconstructed hydrology dataset with the name given in column C.
ii. .\Original_Draw_YearDat.csv: This file contains the historical year from 1930 to 2017 with the closest total streamflow for the Souris River Basin to each year in the stochastic streamflow dataset. Column A is an index number, column B is named “V1” and is the year in a simulation, column C is called “V2” and is the stochastic simulation number, column D is an integer that ca ...
Data was derived using daily runoff from models participating in the Coupled Model Intercomparison Project, version 6 (CMIP6) that have been routed through the Model for Scale Adaptive River Transport (MOSART) routing model to represent streamflow at individual streamflow gage locations. Data from 750 streamflow gage locations are represented, which are indexed by gage id according to the metadata.csv file. Streamflow gage location sites were based on gage records downloaded from the United States Geological Survey (USGS), National Water Data (HYDAT) Archive from Canada, and the State Hydrological Institute of Russia. Data are available from 11 Earth System Models (ESMs) in total at a daily timestep with a duration of 1920-2099 (1850-2014 for E3SM only). The spatial domain of the modeled data is 0.5 degree resolution. Earth System Models and Units of mean daily streamflow are presented in cubic meters per second (cms). Data files consist of 11 Earth System Model mean daily streamflow output per gage location in .csv format, 1 metadata file in .csv format and 1 Readme file in .docx format (13 files in total). These data were used to benchmark CMIP6 modeled representations of streamflow against gage records.
Now in its ninth year, the Citizen Science Oceanography Program (CSOP) engages trained volunteers with boats who collect oceanographic data in defined areas of the Strait of Georgia.
Usually ocean monitoring is conducted by large, expensive research boats which provide snapshots in time. By using a fleet of community operated small boats, we can cost-effectively provide a consistent stream of precise, almost real-time data on the entire Strait. The information provides a better understanding of ocean conditions that drive food availability for Pacific salmon stocks. The program is a partnership between PSF, Fisheries and Oceans Canada and Ocean Networks Canada.
The method is straightforward: citizen scientists use a “CTD” to collect and store information on water conductivity, temperature and depth. Two auxiliary sensors are also used to measure fluorescence and oxygen content. The data collected are transmitted via a custom smart phone app and uploaded to an oceanographic database at Ocean Networks Canada where it is validated and archived. Four other elements of the work are done by hand to assess water quality (collecting nutrients, chlorophyll, harmful algae, zooplankton). Currently we are also collecting water samples to assess biotoxins). Collecting oceanographic measurements this way allows us to be “everywhere at once” and make accurate, consistent data comparisons like never before.
U.S. Government Workshttps://www.usa.gov/government-works
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.\Spring 30 day
I. .\GrantDevine_Comb.csv: This file contains the total inflow volume to Grant Devine Reservoir for the 30 days with the largest streamflow volume between March and May and the mean of the 3- and 12-month SPEI values for each November 1st. Spring streamflow volume for a given calendar year is paired with SPEI from the previous November 1st value. Column A is an unnamed index number, column B is a year in a stochastic simulation, column C is named “simnum” and is the stochastic simulation number, column D is named “mnspei” and is the mean of the 3- and 12-month SPEI for November 1 of each year in a stochastic simulation, and column E is named “SprintgThirtyTot” and is the total inflow volume for the 30 days with the largest streamflow volume between March and May of the following calendar year.
II. .\LakeDarling_Comb.csv: has the same layout as .\GrantDevine_Comb.csv except that it is for local inflows to Lake Darling.
III. .\Rafferty_Comb.csv: has the same layout ...
This dataset identifies the monitoring locations for the Fisheries and Oceans Canada (DFO) Pacific Science Enterprise Centre (PSEC) Community Stream Monitoring (CoSMo) project, which is a collaborative monitoring initiative that strives to produce quality, long-term datasets for use in resource management, research, and stewardship. Streams are monitored in southwest BC in the region spanning from Howe Sound, south to the USA border, and east to Abbotsford, primarily using automated dataloggers. This project is made possible thanks to the many stewardship groups in the region whose dedicated volunteers are committed to protecting, conserving, and educating the public about their local streams.For more information on this dataset, please contact Data Steward Nikki Kroetsch.To view the Pacific DataStream web mapping application: https://pacificdatastream.ca/explore/#/dataset/4c8d3691-99e5-4fa9-ad09-da077baa37c5/?tab=mapDownload Date: August 2022
Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
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Ces données sont recueillies dans le cadre du projet de surveillance communautaire (CoSMo) du Pacific Science Enterprise Centre (PSEC) de Pêches et Océans Canada (MPO), qui est une initiative de surveillance collaborative qui vise à produire des ensembles de données de qualité à long terme destinés à la gestion des ressources, à la recherche et à l'intendance. Nous surveillons actuellement les cours d'eau du sud-ouest de la Colombie-Britannique, dans la région qui s'étend de Howe Sound, au sud jusqu'à la frontière américaine, et à l'est jusqu'à Abbotsford, principalement à l'aide d'enregistreurs de données automatisés. Ce projet est rendu possible grâce aux nombreux groupes d'intendance de la région dont les bénévoles dévoués s'engagent à protéger, à conserver et à informer le public sur leurs cours d'eau locaux.
Nous comptons sur des bénévoles pour télécharger les données des enregistreurs de données. Si vous téléchargez et/ou utilisez les données CoSMo, nous vous serions reconnaissants d'envoyer un e-mail rapide à Nikki Kroetsch (Nikki.Kroetsch@dfo-mpo.gc.ca) avec une brève description (1 à 2 phrases) de l'usage que vous allez faire de ces données. Bien qu'elles ne soient pas obligatoires pour utiliser les données, ces informations rassurent nos volontaires sur le fait que leurs efforts de collecte de données sont appréciés et utiles, ce qui les motive à continuer à contribuer à la collecte des données.
Tweets containing particular words related to Covid-19 and cancer were scraped from the 6 largest cities across Canada from 8 weeks (March 1, 2020 to April 25, 2020). This dataset contains those tweets as they were retrieved and the city they were tweeted from.
This dataset was made to help better understand how cancer patient care has changed in Canada from March 1, 2020 to April 25, 2020 (during the Covid-19 pandemic).
Timeseries data from 'SHOGOMOC STREAM NEAR TRANS CANADA HIGHWAY' (ca_hydro_01AK001) _NCProperties=version=2,netcdf=4.8.1,hdf5=1.12.2 cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=feedback@axiomdatascience.com contributor_name=Axiom Data Science contributor_role=processor contributor_role_vocabulary=NERC contributor_url=https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3 defaultDataQuery=water_surface_height_above_reference_datum_above_localstationdatum_qc_agg,river_discharge,water_surface_height_above_reference_datum_above_localstationdatum,z,time,river_discharge_qc_agg&time>=max(time)-3days Easternmost_Easting=-67.32036 featureType=TimeSeries geospatial_lat_max=45.94353 geospatial_lat_min=45.94353 geospatial_lat_units=degrees_north geospatial_lon_max=-67.32036 geospatial_lon_min=-67.32036 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from Canada Water Office at https://dd.weather.gc.ca/hydrometric/ id=100193 infoUrl=https://sensors.ioos.us/#metadata/100193/station institution=Canada Water Office naming_authority=com.axiomdatascience Northernmost_Northing=45.94353 platform=fixed platform_name=SHOGOMOC STREAM NEAR TRANS CANADA HIGHWAY platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://wateroffice.ec.gc.ca/report/real_time_e.html?stn=01AK001,https://dd.weather.gc.ca/hydrometric/, sourceUrl=https://dd.weather.gc.ca/hydrometric/ Southernmost_Northing=45.94353 standard_name_vocabulary=CF Standard Name Table v72 station_id=100193 time_coverage_end=2025-06-25T17:30:00Z time_coverage_start=2018-09-11T11:15:00Z Westernmost_Easting=-67.32036
This presentation examines the wealth of user guides and documentation available on the Statistics Canada web site. The metadata is not necessarily centralized and various locations for finding the documentation are explored.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Water samples were collected in two headwater stream catchments (Nissouri Creek, Cedar Creek) of the Thames River 2017-2019 to help characterize the contribution of groundwater seepage to water quality. Groundwater wells and surface streams were sampled over the course of the study. The following articles provide further detailed information: STE Sulfamate in environmental waters https://www.sciencedirect.com/science/article/pii/S0048969719336721 STE Environmental fluxes of perchlorate in rural catchments, Ontario, Canada https://www.sciencedirect.com/science/article/pii/S0048969720309360 HP Subsurface Hydrology of tile-drained... https://onlinelibrary.wiley.com/doi/full/10.1002/hyp.14342
This digital database contains an OBIS formatted version of all fish records held at the Canadian Museum of Nature and collected from Canada and the United States as well as from associated marine water masses such as the Atlantic, the Pacific and the Arctic Oceans. It excludes all other records from countries and oceans not listed above. Earliest specimens date from 1863.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The advent of large-scale cabled ocean observatories brought about the need to handle large amounts of ocean-based data, continuously recorded at a high sampling rate over many years and made accessible in near-real time to the ocean science community and the public. Ocean Networks Canada (ONC) commenced installing and operating two regional cabled observatories on Canada’s Pacific Coast, VENUS inshore and NEPTUNE offshore in the 2000s, and later expanded to include observatories in the Atlantic and Arctic in the 2010s. The first data streams from the cabled instrument nodes started flowing in February 2006. This paper describes Oceans 2.0 and Oceans 3.0, the comprehensive Data Management and Archival System that ONC developed to capture all data and associated metadata into an ever-expanding dynamic database. Oceans 2.0 was the name for this software system from 2006–2021; in 2022, ONC revised this name to Oceans 3.0, reflecting the system’s many new and planned capabilities aligning with Web 3.0 concepts. Oceans 3.0 comprises both tools to manage the data acquisition and archival of all instrumental assets managed by ONC as well as end-user tools to discover, process, visualize and download the data. Oceans 3.0 rests upon ten foundational pillars: (1) A robust and stable system architecture to serve as the backbone within a context of constant technological progress and evolving needs of the operators and end users; (2) a data acquisition and archival framework for infrastructure management and data recording, including instrument drivers and parsers to capture all data and observatory actions, alongside task management options and support for data versioning; (3) a metadata system tracking all the details necessary to archive Findable, Accessible, Interoperable and Reproducible (FAIR) data from all scientific and non-scientific sensors; (4) a data Quality Assurance and Quality Control lifecycle with a consistent workflow and automated testing to detect instrument, data and network issues; (5) a data product pipeline ensuring the data are served in a wide variety of standard formats; (6) data discovery and access tools, both generalized and use-specific, allowing users to find and access data of interest; (7) an Application Programming Interface that enables scripted data discovery and access; (8) capabilities for customized and interactive data handling such as annotating videos or ingesting individual campaign-based data sets; (9) a system for generating persistent data identifiers and data citations, which supports interoperability with external data repositories; (10) capabilities to automatically detect and react to emergent events such as earthquakes. With a growing database and advancing technological capabilities, Oceans 3.0 is evolving toward a future in which the old paradigm of downloading packaged data files transitions to the new paradigm of cloud-based environments for data discovery, processing, analysis, and exchange.
This data set provides pesticide sample analyses results for stream water samples for the province’s Pesticide Monitoring Program.The sampling includes a total of 9 rivers across PEI, with at least 3 of the rivers being sampled each year.Stream water samples are collected at least once per year during wet weather sampling conditions.Department staff collects the samples, which are then sent to a laboratory for analysis.Results with a " < " represent values below the lab's reporting or quantification limit.Such results do not confirm the presence nor the absence of a pesticide compound below that level.Water Quality Guideline or Benchmark Values:When available, Health Canada Guidance Values were used,otherwise CCME Canadian Water Quality Guidelines for the Protection of Aquatic Life were used, and otherwise USEPA Aquatic Life Benchmark values were.1. The Canadian Long term freshwater Water Quality Guideline for the Protection of Aquatic LifeWebsite link is here: http://st-ts.ccme.ca/2. USEPA Aquatic Life Benchmark (lowest value on table was chosen).Website link is here: http://www.epa.gov/pesticide-science-and-assessing-pesticide-risks/aquatic-life-benchmarks-pesticide-registration#use3.Health Canada Guidance ValueNOTE: the guideline/benchmark values have been converted from the published units to ng/ml by the author in order to compare the values to the detected results.These samples are collected in the same rivers as the Finfish/Shellfish and the Stream Sediment Pesticide datasets.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Stream sampling was conducted in the Whitemans Creek watershed in February 2012 to assess water quality during winter baseflow conditions. A total of 30 stream sites were sampled where streams in the watershed intersected roadways. In addition to conventional water quality parameters (e.g., major anions, major cations, ammonium, soluble reactive phosphorus, alkalinity, dissolved organic carbon), stable isotopes of nitrate and sulfate were analyzed to provide insights into the sources of these compounds in the streams. Select artificial sweeteners (acesulfame, cyclamate, saccharin, sucralose) and anionic herbicides (glyphosate, AMPA, 2,4-D, glufosinate, fosamine, MCPA, picloram) were also measured as novel tracers of certain anthropogenic activities that potentially impact water quality. These data, as well as information on the sampling and analytical methods used, and interpretation of the data, are presented in the report, Water quality snapshot of Whitemans Creek during winter baseflow conditions (https://open-science.canada.ca/items/a9626ada-8a8c-4647-9e02-7efc19c9779a).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Data set used to conduct the research presented in the manuscript entitled "The influence of permafrost and other environmental controls on stream thermal sensitivity across Yukon, Canada", submitted to the journal Hydrology and Earth System Science.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
Field estimates of the abundance of rainbow trout in Washington and British Columbia were collected in concert with environmental DNA samples (eDNA) to evaluate if eDNA copy numbers correlated with abundance of trout. In addition, stream habitat data including channel units (pools, riffles), substrate, large woody debris, among others, were collected at sites.
Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically
These data are collected as part of the Fisheries and Oceans Canada (DFO) Pacific Science Enterprise Centre (PSEC) Community Stream Monitoring (CoSMo) project, which is a collaborative monitoring initiative that strives to produce quality, long-term datasets for use in resource management, research, and stewardship. We currently monitor streams in southwest BC in the region spanning from Howe Sound, south to the USA border, and east to Abbotsford, primarily using automated dataloggers. This project is made possible thanks to the many stewardship groups in the region whose dedicated volunteers are committed to protecting, conserving, and educating the public about their local streams.
We rely on volunteers to download the data from the dataloggers. If you download and/or use the CoSMo data, we would appreciate if you could send a quick email to Nikki Kroetsch (Nikki.Kroetsch@dfo-mpo.gc.ca) with a brief (1-2 sentence) description of what you will be using the data for. Though not a requirement for using the data, this information reassures our volunteers that their data collection efforts are appreciated and worthwhile, which motivates them to continue to help collect the data.
Partner Organizations: Alouette River Management Society, Cariboo Heights Forest Preservation Society, Cougar Creek Streamkeepers, City of Surrey, Bowen Island Fish and Wildlife Club, West Vancouver Streamkeepers, Stoney Creek Environment Committee, City of Port Moody, Capilano Golf/Country Club, Eagle Creek Streamkeepers, North Shore Streamkeepers, Nicomekl Enhancement Society, Hoy/Scott Watershed Society, Hyde Creek Watershed Society, WaterWealth Project, Univ. of BC, Burrard Inlet Marine Enhancement Society, Yorkson Watershed Enhancement Society, Johnston Heights Secondary School (Surrey), Seymour Salmonid Society, Still Creek Streamkeepers, PSEC staff
Dedicated volunteers (not associated with an organization) who steward Carlson Creek, Mosquito Creek, McDonald Creek, and McNally Creek.