33 datasets found
  1. d

    DFO PSEC Community Stream Monitoring (CoSMo)

    • datastream.org
    Updated Jul 6, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Fisheries and Oceans Canada (DFO) / Pêches et Océans Canada (MPO); Pacific Science Enterprise Centre (PSEC) (2025). DFO PSEC Community Stream Monitoring (CoSMo) [Dataset]. http://doi.org/10.25976/0gvo-9d12
    Explore at:
    Dataset updated
    Jul 6, 2025
    Dataset provided by
    DataStream
    Authors
    Fisheries and Oceans Canada (DFO) / Pêches et Océans Canada (MPO); Pacific Science Enterprise Centre (PSEC)
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Time period covered
    May 21, 2019 - Jun 19, 2025
    Area covered
    Measurement technique
    We use automated loggers that remain in-stream and record data at regular intervals. The most common loggers we use are the HOBO Tidbit MX2203 temperature loggers, which we calibrate in a warm- and cold-water bath prior to deploying and set to record water temperature every hour. When the data are downloaded from the loggers, a temperature reading is taken with an accurate thermometer and compared to the logger reading. We also use the HOBO U20L water level logger (which also records water temperature) and the Solinst Levelogger 5 LTC and Zentra ZL6 loggers (which record water level, temperature, and conductivity). The conductivity loggers are calibrated prior to installation and again 3-4 times per year when the data are downloaded. To calibrate the conductivity loggers, we follow the calibration instructions provided by the manufacturers, using 1413 uS/cm and 5000 uS/cm calibration solution. Volunteers are trained in-person how to download the data from the loggers, then proceed to download the data 3-4 times per year and email the data files and data sheets to staff at PSEC.
    Description

    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.

  2. d

    Data from: The State of Social Media in Canada 2022

    • dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mai, Philip; Gruzd, Anatoliy (2023). The State of Social Media in Canada 2022 [Dataset]. http://doi.org/10.5683/SP3/BDFE7S
    Explore at:
    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Mai, Philip; Gruzd, Anatoliy
    Area covered
    Canada
    Description

    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.

  3. Water Level and Flow

    • soggy.zoology.ubc.ca
    Updated Nov 4, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The citation is currently not available for this dataset.
    Explore at:
    www:link-1.0-http--linkAvailable download formats
    Dataset updated
    Nov 4, 2019
    Dataset provided by
    Meteorological Service of Canadahttps://weather.gc.ca/
    Environment And Climate Change Canadahttps://www.canada.ca/en/environment-climate-change.html
    Authors
    Environment Canada Meteorological Service
    Area covered
    Description

    Explore real-time and historical water level and flow (discharge) data collected at over 7700 hydrometric stations across Canada.

  4. Data from: The influence of permafrost and other environmental controls on...

    • zenodo.org
    zip
    Updated Jun 13, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Andras J. Szeitz; Andras J. Szeitz (2024). The influence of permafrost and other environmental controls on stream thermal sensitivity across Yukon, Canada -- data set [Dataset]. http://doi.org/10.5281/zenodo.11527471
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 13, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Andras J. Szeitz; Andras J. Szeitz
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 8, 2024
    Area covered
    Yukon, Canada
    Description

    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.

  5. U

    Secondary Input Data used in Developing Stochastically Generated Climate and...

    • data.usgs.gov
    • catalog.data.gov
    • +1more
    Updated May 26, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Benjamin York; Angela Gregory; Joel Galloway (2021). Secondary Input Data used in Developing Stochastically Generated Climate and Streamflow Conditions in the Souris River Basin, United States and Canada, [Dataset]. http://doi.org/10.5066/P93AOWFL
    Explore at:
    Dataset updated
    May 26, 2021
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Benjamin York; Angela Gregory; Joel Galloway
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    2021
    Area covered
    Canada, United States, Souris River
    Description

    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 ...

  6. d

    Pan-Arctic daily streamflow at 0.5-degree resolution

    • search.dataone.org
    • data.ess-dive.lbl.gov
    • +1more
    Updated Aug 20, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Tian Zhou; Kurt Solander; Jon Schwenk (2024). Pan-Arctic daily streamflow at 0.5-degree resolution [Dataset]. http://doi.org/10.15485/2432469
    Explore at:
    Dataset updated
    Aug 20, 2024
    Dataset provided by
    ESS-DIVE
    Authors
    Tian Zhou; Kurt Solander; Jon Schwenk
    Time period covered
    Jan 1, 1850 - Dec 31, 2099
    Area covered
    Arctic,
    Description

    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.

  7. Citizen Science Oceanography Program

    • soggy2.zoology.ubc.ca
    doi, null, search +2
    Updated Oct 17, 2015
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Pacific Salmon Foundation (2015). Citizen Science Oceanography Program [Dataset]. https://soggy2.zoology.ubc.ca/geonetwork/srv/api/records/ab455d82-59c5-4d8a-9c9f-bbc9636144b5
    Explore at:
    doi, search, null, www:link-1.0-http--link, www:download-1.0-http--downloadAvailable download formats
    Dataset updated
    Oct 17, 2015
    Dataset authored and provided by
    Pacific Salmon Foundation
    Area covered
    Description

    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.

  8. U

    Spring 30 Day Local Inflow Data for Reservoirs on the Souris River, United...

    • data.usgs.gov
    • catalog.data.gov
    • +1more
    Updated Apr 30, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Benjamin York; Angela Gregory; Joel Galloway (2024). Spring 30 Day Local Inflow Data for Reservoirs on the Souris River, United States and Canada [Dataset]. http://doi.org/10.5066/P93AOWFL
    Explore at:
    Dataset updated
    Apr 30, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Benjamin York; Angela Gregory; Joel Galloway
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    2021
    Area covered
    Souris River, Canada, United States
    Description

    .\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 ...

  9. a

    DFO PSEC Community Stream Monitoring (CoSMo) Locations

    • fisheries-map-gallery-crm.hub.arcgis.com
    Updated Feb 24, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Coastal Resource Mapping Ltd (2022). DFO PSEC Community Stream Monitoring (CoSMo) Locations [Dataset]. https://fisheries-map-gallery-crm.hub.arcgis.com/maps/CRM::dfo-psec-community-stream-monitoring-cosmo-locations
    Explore at:
    Dataset updated
    Feb 24, 2022
    Dataset authored and provided by
    Coastal Resource Mapping Ltd
    Area covered
    Description

    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

  10. c

    DFO PSEC Community Stream Monitoring (CoSMo)

    • catalogue.cioospacific.ca
    • catalogue.cioos.ca
    html
    Updated Dec 18, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    DataStream (2023). DFO PSEC Community Stream Monitoring (CoSMo) [Dataset]. http://doi.org/10.25976/0gvo-9d12
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Dec 18, 2023
    Dataset provided by
    DataStream
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Time period covered
    May 21, 2019 - Nov 15, 2023
    Area covered
    Variables measured
    Other
    Description

    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.

  11. Canada Covid19 Tweets

    • kaggle.com
    Updated May 5, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Val Bauman (2020). Canada Covid19 Tweets [Dataset]. https://www.kaggle.com/valbauman/canada-covid19-tweets/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 5, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Val Bauman
    Area covered
    Canada
    Description

    Content

    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.

    Inspiration

    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).

  12. E

    SHOGOMOC STREAM NEAR TRANS CANADA HIGHWAY

    • erddap.sensors.axds.co
    • erddap.sensors.ioos.us
    Updated Sep 11, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Canada Water Office (2018). SHOGOMOC STREAM NEAR TRANS CANADA HIGHWAY [Dataset]. http://erddap.sensors.axds.co/erddap/info/ca_hydro_01AK001/index.html
    Explore at:
    Dataset updated
    Sep 11, 2018
    Dataset authored and provided by
    Canada Water Office
    Time period covered
    Sep 11, 2018 - Jun 25, 2025
    Area covered
    Variables measured
    z, time, station, latitude, longitude, river_discharge, river_discharge_qc_agg, river_discharge_qc_tests, water_surface_height_above_reference_datum_above_localstationdatum, water_surface_height_above_reference_datum_above_localstationdatum_qc_agg, and 1 more
    Description

    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

  13. d

    Data from: Jewels Among the Stones: User Guides and Reference Sources

    • search.dataone.org
    Updated Dec 28, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Elizabeth Hamilton (2023). Jewels Among the Stones: User Guides and Reference Sources [Dataset]. http://doi.org/10.5683/SP3/WGJL7E
    Explore at:
    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Elizabeth Hamilton
    Description

    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.

  14. u

    Water Quality Data for Upper Thames 2017-19 - Catalogue - Canadian Urban...

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Oct 1, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Water Quality Data for Upper Thames 2017-19 - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-d1f98578-a82f-4638-b615-a48301e4dfc2
    Explore at:
    Dataset updated
    Oct 1, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    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

  15. n

    Data from: Canadian Museum of Nature - Fish Collection (OBIS Canada)

    • cmr.earthdata.nasa.gov
    Updated Apr 24, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2017). Canadian Museum of Nature - Fish Collection (OBIS Canada) [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214621776-SCIOPS.html
    Explore at:
    Dataset updated
    Apr 24, 2017
    Time period covered
    Aug 1, 1863 - Jul 9, 2002
    Area covered
    Canada,
    Description

    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.

  16. f

    Data_Sheet_1_The Oceans 2.0/3.0 Data Management and Archival System.ZIP

    • frontiersin.figshare.com
    zip
    Updated Jun 16, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dwight Owens; Dilumie Abeysirigunawardena; Ben Biffard; Yan Chen; Patrick Conley; Reyna Jenkyns; Shane Kerschtien; Tim Lavallee; Melissa MacArthur; Jina Mousseau; Kim Old; Meghan Paulson; Benoît Pirenne; Martin Scherwath; Michael Thorne (2023). Data_Sheet_1_The Oceans 2.0/3.0 Data Management and Archival System.ZIP [Dataset]. http://doi.org/10.3389/fmars.2022.806452.s001
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    Frontiers
    Authors
    Dwight Owens; Dilumie Abeysirigunawardena; Ben Biffard; Yan Chen; Patrick Conley; Reyna Jenkyns; Shane Kerschtien; Tim Lavallee; Melissa MacArthur; Jina Mousseau; Kim Old; Meghan Paulson; Benoît Pirenne; Martin Scherwath; Michael Thorne
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  17. u

    OD0001 Pesticide Analysis for Stream Water - Catalogue - Canadian Urban Data...

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    Updated Oct 1, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). OD0001 Pesticide Analysis for Stream Water - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-3e262624-27fc-75d2-35c3-7d850af46ce5
    Explore at:
    Dataset updated
    Oct 1, 2024
    Area covered
    Canada
    Description

    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.

  18. u

    Whitemans Creek Water Quality

    • data.urbandatacentre.ca
    • beta.data.urbandatacentre.ca
    • +1more
    Updated Oct 1, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Whitemans Creek Water Quality [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-0cfe37ac-3d42-409a-b3df-28a2be829821
    Explore at:
    Dataset updated
    Oct 1, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    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).

  19. Z

    Data from: The influence of permafrost and other environmental controls on...

    • data.niaid.nih.gov
    Updated Jun 15, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Szeitz, Andras J. (2024). The influence of permafrost and other environmental controls on stream thermal sensitivity across Yukon, Canada -- data set [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_11527470
    Explore at:
    Dataset updated
    Jun 15, 2024
    Dataset authored and provided by
    Szeitz, Andras J.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Canada, Yukon
    Description

    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.

  20. U

    Fish abundance, environmental DNA, and stream habitat data from Washington,...

    • data.usgs.gov
    • catalog.data.gov
    Updated Oct 21, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Adam Sepulveda; Robert Al-Chokhachy; Matthew Laramie; Kyle Crapster; Ladd Knotek; Brian Miller; Alexander Zale; David Pilliod (2020). Fish abundance, environmental DNA, and stream habitat data from Washington, and southern British Columbia, Canada [Dataset]. http://doi.org/10.5066/P9ONVSL5
    Explore at:
    Dataset updated
    Oct 21, 2020
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Adam Sepulveda; Robert Al-Chokhachy; Matthew Laramie; Kyle Crapster; Ladd Knotek; Brian Miller; Alexander Zale; David Pilliod
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    Jun 1, 2017 - Oct 1, 2018
    Area covered
    Washington, Canada, British Columbia
    Description

    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.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Fisheries and Oceans Canada (DFO) / Pêches et Océans Canada (MPO); Pacific Science Enterprise Centre (PSEC) (2025). DFO PSEC Community Stream Monitoring (CoSMo) [Dataset]. http://doi.org/10.25976/0gvo-9d12

DFO PSEC Community Stream Monitoring (CoSMo)

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 6, 2025
Dataset provided by
DataStream
Authors
Fisheries and Oceans Canada (DFO) / Pêches et Océans Canada (MPO); Pacific Science Enterprise Centre (PSEC)
License

Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically

Time period covered
May 21, 2019 - Jun 19, 2025
Area covered
Measurement technique
We use automated loggers that remain in-stream and record data at regular intervals. The most common loggers we use are the HOBO Tidbit MX2203 temperature loggers, which we calibrate in a warm- and cold-water bath prior to deploying and set to record water temperature every hour. When the data are downloaded from the loggers, a temperature reading is taken with an accurate thermometer and compared to the logger reading. We also use the HOBO U20L water level logger (which also records water temperature) and the Solinst Levelogger 5 LTC and Zentra ZL6 loggers (which record water level, temperature, and conductivity). The conductivity loggers are calibrated prior to installation and again 3-4 times per year when the data are downloaded. To calibrate the conductivity loggers, we follow the calibration instructions provided by the manufacturers, using 1413 uS/cm and 5000 uS/cm calibration solution. Volunteers are trained in-person how to download the data from the loggers, then proceed to download the data 3-4 times per year and email the data files and data sheets to staff at PSEC.
Description

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.

Search
Clear search
Close search
Google apps
Main menu