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4,005 results for “Canada”
Food Web of Sarracenia Purpurea in United States and Canada 1999-2011
How food webs are structured and how their structure and dynamics vary through time and space is a central focus of research in community ecology. We documented structural variation in the aquatic food web inhabiting pitcher-shaped leaves of the carnivorous pitcher plant Sarracenia purpurea across the geographic range of the plant (from Florida north to Labrador and west to British Columbia); examined temporal variation in this food web with detailed experiments in Massachusetts and Vermont; experimentally manipulated top-down and bottom-up processes in this food web in Massachusetts; and developed a dynamic simulation model of this food web that incorporates metacommunity dynamics.
MOD-LSP: MODIS-Based Parameters for Variable Infiltration Capacity (VIC) Model over the Continental US, Mexico, and Southern Canada
<p>The MOD-LSP project contains MODIS-based land and surface (soil and vegetation) parameters for the Variable Infiltration Capacity (VIC) model (Liang et al., 1994), release 5.0 and later (Hamman et al., 2018). The MOD-LSP spatial domain covers the continental United States, Mexico, and southern Canada; the associated domain files can be found in the <a href="https://zenodo.org/record/2564019">PITRI archive</a> (Bohn et al. 2018). This spatial domain and 0.625° (6 km) grid resolution are compatible with the gridded daily meteorological forcings of Livneh et al. (2015) ("L2015" hereafter) (http://ciresgroups.colorado.edu/livneh/data/daily-observational-hydrometeorology-data-set-north-american-extent), which can be disaggregated to hourly time step via the MetSim tool (Bennett et al. 2018) using the <a href="https://zenodo.org/record/2564019">aforementioned PITRI domain files</a> (Bohn et al. 2018).</p> <p>These parameters have two main purposes: (1) to improve upon previous widely-used parameters over the region (e.g., L2015) with updated, higher-resolution land cover maps and spatially explicit observations of surface properties; and (2) to expand from a single parameter set corresponding to one point in time to a series of parameter sets that account for temporal variability at seasonal to decadal scales.</p> <p>A detailed description of methods, the data sources and purposes of different VIC parameter sets within MOD-LSP, and how to use them with VIC, can be found in the MOD-LSP User Guide.pdf, included here. The scripts that were used to create the MOD-LSP parameters are archived on <a href="https://zenodo.org/record/3364149">Zenodo and GitHub</a> (Bohn 2019).</p> <p>If you wish to present or publish results that use these parameter sets, please cite the following paper:</p> <p>Bohn, T. J., and E. R. Vivoni, 2019b: MOD-LSP, MODIS-based land surface properties for assessing land cover variability and change over North America. Sci. Data, 6, 144, doi: 10.1038/s41597-019-0150-2.</p> <p>In addition, if you use the domain files associated with the PITRI precipitation disaggregation to accompany the MOD-LSP parameter files in VIC simulations, please cite the following paper:</p> <p>Bohn, T. J., K. M. Whitney, G. Mascaro, and E. R. Vivoni, 2019: A deterministic approach for approximating the diurnal cycle of precipitation for use in large-scale hydrological modeling. J. Hydrometeorol., 20, 297–317, doi:10.1175/JHM-D-18-0203.1.</p> <p>Contents:</p> <ul> <li>MOD-LSP User Guide v1.0.pdf - Explains how parameters were generated and how to set up the files for input in VIC simulations.</li> <li>global_param.template - Template for global_parameter file, which lists the locations of the other input files and sets various simulation options. The template contains placeholders for some filenames and simulation options, which must be replaced with real values by the user.</li> <li>params.$DOMAIN.L2015.nc - VIC-5 compliant NetCDF parameter files with values taken from the L2015 project for domain $DOMAIN (which is one of "CONUS_MX" or "USMX").</li> <li>params.CONUS_MX.MOD_IGBP.mode.2000_2016.nc - VIC-5 compliant NetCDF parameter file over the CONUS_MX domain, with land cover fractions taken from the MODIS MCD12Q1.006 product and an annual cycle of land surface properties (LAI, Fcanopy, albedo) derived from the climatological mean of MODIS observations over the period 2000-2016.</li> <li>params.USMX.NLCD_INEGI.$LCID.2000_2016.nc - VIC-5 compliant NetCDF parameter file over the USMX domain, with land cover fractions taken from the NLCD_INEGI dataset, from year = $LCID, and an annual cycle of land surface properties (LAI, Fcanopy, albedo) derived from the climatological mean of MODIS observations over the period 2000-2016.</li> <li>params.USMX.NLCD_INEGI.$LCID.$YYYY_$YYYY.nc - VIC-5 compliant NetCDF parameter file over the USMX domain, with land cover fractions taken from the NLCD_INEGI dataset, from year = $LCID, and an annual cycle of land surface properties (LAI, Fcanopy, albedo) derived from the MODIS observations from a single year $YYYY.</li> <li>veg_hist.$DOMAIN.$LCTYPE.$LCID.2000_2016.nc - timeseries of monthly land surface properties (LAI, Fcanopy, albedo) from MODIS observations spanning years 2000-2016, over domain $DOMAIN, aggregated over land cover classification $LCTYPE from year $LCID.</li> </ul>
Impact of Snowmelt Timing and Tree Proximity on Dutchman's Breeches Phenology and Performance in Mont Megantic National Park (Quebec, Canada; 2018-2019)
Data herein were collected in 2018 and 2019 in Mont Megantic National Park, Quebec, Canada, in a sugar maple-dominated temperate deciduous forest. Individuals of Dutchman's breeches (Dicentra cucullaria), a common understory spring ephemeral plant that is only active in the spring, were transplanted into a fully factorial experiment of snowmelt timing (early vs. late) and tree proximity (near vs. far) to determine the role of thaw circle formation in the local clustering of this species near canopy tree trunks. Plant phenology (emergence, senescence, and growing season length) and performance (stem abundance and leaf area) were tracked during two years of snow manipulation. Additionally, microclimate temperature data were collected in a subset of plots in 2018.
Data associated with the 2019 Freshwater Oil Spill Remediation Study (FOReSt) assessing the use of enhanced Monitored Natural Recovery (eMNR) and shoreline washing agent (SWA) of diluted bitumen spills conducted in shoreline enclosures at the IISD Experimental Lakes Area, ON, Canada from 2019 to 2020
The following package includes data from the 2019 Freshwater Oil spill Remediation Study (FOReSt) at the IISD Experimental Lakes Area studying the use of enhanced monitored natural recovery (eMNR) and shoreline washing agent (SWA) as a secondary remediation method for diluted bitumen spills in freshwater shoreline enclosures. This package includes data tables on polycyclic aromatic compound chemistry in water and sediments, basic water quality, nutrient chemistry, and tritium chemistry monitored in the experimental and reference enclosures, and lake reference sites over the duration of the study. Data included in this package was first collected and used in the paper by Palace et al., titled Polycyclic aromatic compounds in freshwater ecosystems following non-invasive remediation of controlled diluted bitumen spills: The Freshwater Oil Spill Remediation Study (FOReSt) at the Experimental Lakes Area, Canada.
Ovenbird song recordings from Alberta (Canada) with individual labels and spatial locations, 2015-2016
This dataset includes spatially localized and individually identified Ovenbird songs. We used automated species detection and acoustic localization to localize Ovenbird singing events from microphone arrays in Alberta, Canada (2015-2016). We then hand-annotated songs to individuals based on acoustic characteristics. This dataset includes the manual annotations and annotations from automated individual identification approaches. This data publication pertains to the manuscript [in prep] by Lapp et al on Ovenbird individual identification and provides further details on the study and the individual identification approach.
The 2021 Freshwater Oil Spill Remediation Study (FOReSt), assessing the use of enhanced Monitored Natural Recovery (eMNR) of conventional heavy crude oil spills conducted in freshwater shoreline enclosures at the IISD Experimental Lakes Area, ON, Canada from 2021 to 2022.
The following package includes data from the 2021 Freshwater Oil spill Remediation Study (FOReSt) at the IISD Experimental Lakes Area studying the use of enhanced monitored natural recovery (eMNR) as a secondary remediation method for conventional heavy crude oil spills in freshwater shoreline enclosures. This package includes data tables on polycyclic aromatic compound chemistry in water and sediments, basic water quality, nutrient chemistry monitored in the experimental and reference enclosures, and lake reference sites over the duration of the study. As well as tables detailing enclosure metrics (depth), tritium chemistry, and a treatment key. Data included in this package was first collected and used in the paper by Stanley et al., titled Rapid Chemical Remediation of Freshwater Enclosures Treated with Conventional Heavy Crude Oil Spills Followed by Enhanced Monitored Natural Recovery
High-frequency, hourly, and daily measurements from Canada Glacier Meteorological Station (CAAM), McMurdo Dry Valleys, Antarctica (1994-2025, ongoing)
As part of the McMurdo Dry Valleys Long-Term Ecological Research program, a spatially distributed, long-term climate monitoring network was established across the McMurdo Dry Valleys region of Antarctica, consisting of fourteen research-grade weather stations that continuously measure a standard suite of environmental parameters. Ecosystem processes in this region are strongly regulated by climatic drivers that exhibit high variability across both time and space, making accurate measurement of environmental variables at high temporal and spatial resolution essential to understanding the biophysical dynamics of this polar desert ecosystem. This data package includes measurements from the Canada Glacier Meteorological Station (CAAM), which was established in 1994 within the ablation zone of Canada Glacier, between the Hoare and Fryxell Basins of Taylor Valley, McMurdo Dry Valleys, Antarctica. Parameters include air temperature, relative humidity, incoming and outgoing shortwave radiation, wind speed and direction, and surface (snow/ice) temperature. Data are provided at high frequency (typically 15-minute intervals), along with hourly and daily summaries. Users should note that summary statistics may be affected by periods of missing data. Since there is no universally accepted standard for handling gaps in time-series data, users are encouraged to work with the high-frequency data and establish their own criteria for acceptable data completeness to minimize any potential bias.
Data on ground ice, organic carbon and soluble cations in tundra permafrost and active-layer soils near Lac de Gras in the Slave Geological Province, N.W.T., Canada
<p>Data and computer code for producing figures for the manuscript:</p> <p>Subedi, R., Kokelj, S. V., and Gruber, S.: Ground ice, organic carbon and soluble cations <br> in tundra permafrost soils and sediments near a Laurentide ice divide in the Slave <br> Geological Province, N.W.T., Canada. The Cryosphere, accepted for publication in October 2020. </p> <p>Discussion paper and final version: https://doi.org/10.5194/tc-2020-33</p> <p> </p> <p>==========================================================================================<br> CONTENT OF DIRECTORIES<br> ==========================================================================================<br> -– data [input data to produce plots]<br> |–– BoreholesMeta.csv<br> |–– brackets_photos_ice.csv<br> |–– brackets_photos_thawed.csv<br> |–– Lac_de_Gras_permafrost_20200612.csv<br> |–– NordicanaD<br> <br> |–– ds_000582159 [authoritative copy at doi: 10.5885/45558XD-EBDE74B80CE146C6]<br> |–– Cored_Drill_TCR.csv<br> |–– Cored_Drill_TCR.csv_ReadMe.txt<br> <br> |–– ds_000582163 [authoritative copy at doi: 10.5885/45558XD-EBDE74B80CE146C6]<br> |–– Cored_Drill_Logs.csv_ReadMe.txt<br> |–– Cored_Drill_Logs.csv</p> <p>–– plot [R scripts write plots into this subdirectory]</p> <p>–– src [R scripts to generate plots]<br> |–– Combined_Plots.R [produces Figures 3–6]<br> |–– Eskers.R [helper function called by Combined_Plots.R]<br> |–– Organics.R [helper function called by Combined_Plots.R]<br> |–– plot_boreholes_DD_single.R [produces Figures S3]<br> |–– plot_boreholes_DD.R [produces raw Figure S2 for further graphic processing]<br> |–– Till.R [helper function called by Combined_Plots.R]<br> |–– Valley.R [helper function called by Combined_Plots.R]</p> <p><br> ==========================================================================================<br> RUNNING SCRIPTS<br> ==========================================================================================</p> <p>Adjust the variable 'path' in these scrips, then run: <br> Combined_Plots.R<br> plot_boreholes_DD_single.R<br> plot_boreholes_DD.R </p> <p>Tested with R version 3.6.3 (2020-02-29) -- "Holding the Windsock"</p> <p> </p> <p>==========================================================================================<br> REFRERENCE<br> ==========================================================================================<br> Please note that the data contained in data/NordicanaD is published as Gruber et al. (2018)<br> and only included here for convenience. The full reference for the authoritative copy is: <br> <br> Gruber, S., Brown, N., Stewart-Jones, E., Karunaratne, K., Riddick, J., Peart, C., <br> Subedi, R., Kokelj, S. 2018. Drill logs, visible ice content and core photos from 2015 <br> surficial drilling in the Canadian Shield tundra near Lac de Gras, Northwest Territories, <br> Canada, v. 1.0 (2015-2015). Nordicana D38, doi: 10.5885/45558XD-EBDE74B80CE146C6. <br> http://www.cen.ulaval.ca/nordicanad/dpage.aspx?doi=45558XD-EBDE74B80CE146C6 </p>
Data for "The effects of weather and mobility on respiratory viruses dynamics before and during the COVID-19 pandemic in the USA and Canada".
<p>Epidemiological and mobility data analysed in the paper "The effects of weather and mobility on respiratory viruses dynamics before and during the COVID-19 pandemic in the USA and Canada".</p>
Dataset to: Organic carbon stocks, quality and prediction in permafrost-affected forest soils in North Canada (CATENA) - Version 2 (Corrected)
<p><strong>Version update: Coordinates were not correct in previsous version and have been corrected now in version 2</strong></p> <p> </p> <p>Dataset to the manuscript: Schiedung et al. (2022, Catena) Organic carbon stocks, quality and prediction in permafrost-affected forest soils in North Canada ( <a href="https://doi.org/10.1016/j.catena.2022.106194">https://doi.org/10.1016/j.catena.2022.106194</a> )</p> <p>Data files, variables and parameter are described in <em>Var_names_dd_all.csv</em> for all data on each sample and <em>Var_names_dd_composites.csv </em>for all data on composited samples per site and depth. DRIFT data and corresponding explenation are in <em>Schiedung_CATENA_DRIFT_v1.1.zip.</em></p> <p> </p> <p><strong> </strong></p>
Projected fire cycle (yrs) for Canada at a 0.25 degree resolution
<p>These rasters represent the projection of future fire cycles for Canada at a 0.25 degree of resolution. The data was produced in three steps:</p> <ol> <li>Future fire cycles were obtain by projecting annual area burned as in Boulanger et al. (2014) (https://cdnsciencepub.com/doi/full/10.1139/cjfr-2013-0372) at the homogeneous fire regime zone scale. Models used here were improved from those used in Boulanger et al. (2014). Projections were conducted for specific time periods (baseline, 2011-2040, 2041-2070 and 2071-2100) under specific anthropogenic climate forcing scenarios (RCP 4.5 and RCP 8.5). Three Earth System models were used i.e., CanESM2, HadGEM2-ES and MIROC-ESM-CHEM.</li> <li>Values obtained at the homogeneous fire regime zone scale were further "downscaled" at a 250m resolution according to vegetation type (cover x age class) following Bernier et al. (2016) (https://www.mdpi.com/1999-4907/7/8/157) using forest attributes of 2011 as assessed in Beaudoin et al. (2014) (https://cdnsciencepub.com/doi/10.1139/cjfr-2013-0401). </li> <li>Values obtained at a 250m resolution were averaged in 0.25x0.25 degree cells.</li> </ol>
Parameters for PITRI Precipitation Temporal Disaggregation over continental US, Mexico, and southern Canada, 1981-2013
<p>This dataset contains parameter values for the Precipitation Isosceles Triangle (PITRI) precipitation disaggregation method (Bohn et al., 2019) over the CONUS+Mexico domain (southern Canada, the continental US, and Mexico; 14.65 - 53° N latitude, 65-125° W longitude), at 1/16° (6 km) spatial resolution. There are two parameters: "dur" (mean event duration [minutes]) and "t_pk" (mean time of peak precipitation intensity [minutes from beginning of day]). In each land grid cell, each parameter has 12 climatological mean monthly values for the period 1981-2013.</p> <p>This dataset contains 2 NetCDF-format files:</p> <ul> <li>domain.CONUS_MX.L2015.nc - this contains parameters over the entire CONUS+Mexico domain, using the land mask of the Livneh et al. (2015) daily meteorology dataset.</li> <li>domain.USMX.L2015.nc - this contains the same parameters, but clipped to exclude Canada (to be consistent with datasets that cover only that part of the domain).</li> </ul> <p>These files are structured as input "domain" files for 2 applications:</p> <ul> <li>MetSim meteorology simulator (https://github.com/UW-Hydro/MetSim/releases/tag/2.0.0_alpha; Bennett et al., 2018). The PITRI algorithm has been implemented as an option in MetSim. To use this algorithm within MetSim, set the "prec_type" option to "triangle" or "mix" in the configuration file. The "mix" option is a blend of the "uniform" (previous) method and the "triangle" method that fixes biases in snow accumulation rates yielded by the "triangle" method in some climates. "mix" uses the "uniform" method on days for which minimum daily temperature falls below 0 C, and "triangle" method on all other days.</li> <li>Variable Infiltration Capacity (VIC) model, release 5.0 and later (Liang et al., 1994; Hamman et al., 2018; https://github.com/UW-Hydro/VIC). VIC does not use the PITRI parameters, but does use the other variables such as mask, elevation, area, etc. For VIC to use the output of MetSim (disaggregated meteorological fields) as input, VIC needs to use the same domain file as was used in MetSim.</li> </ul> <p>Algorithm details can be found in the following paper, which should be cited if you use this dataset:</p> <p>Bohn, T. J., K. M. Whitney, G. Mascaro, and E. R. Vivoni, 2019: A deterministic approach for approximating the diurnal cycle of precipitation for use in large-scale hydrological modeling, Journal of Hydrometeorology 20(2), 297-317, doi: 10.1175/JHM-D-18-0203.1.</p>
The Canada Trademarks Dataset
<p><strong>The Canada Trademarks Dataset</strong></p> <p><strong>18 Journal of Empirical Legal Studies 908 (2021), prepublication draft available at <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3782655">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3782655</a></strong>, published version available at <a href="https://onlinelibrary.wiley.com/share/author/CHG3HC6GTFMMRU8UJFRR?target=10.1111/jels.12303">https://onlinelibrary.wiley.com/share/author/CHG3HC6GTFMMRU8UJFRR?target=10.1111/jels.12303</a></p> <p><strong>Dataset Selection and Arrangement (c) Jeremy Sheff</strong></p> <p><strong>Original Python and Stata Scripts (c) Jeremy Sheff</strong></p> <p><strong>Contains data licensed by Her Majesty the Queen in right of Canada, as represented by the Minister of Industry, the minister responsible for the administration of the Canadian Intellectual Property Office.</strong></p> <p><strong>### VERSION 2.0: JANUARY 2023 UPDATES ###</strong></p> <p>The January 2023 update brings the Canada Trademarks Dataset up to date with weekly application data published by CIPO through January 24, 2023, and includes a total of 1,916,950 application records. The python scripts for constructing the dataset have been rewritten to allow for regular updates with new weekly application data. The new versions of these scripts require access to a mySQL server to store and update the data. Those who simply wish to use the current dataset rather than keep it updated on their own can simply download the .csv and/or .dta files included in this distribution.</p> <p><strong>Details of Repository Contents:</strong></p> <p>This repository includes a number of .zip archives which expand into folders containing either scripts for construction of the dataset or data files comprising the dataset itself. These folders are as follows:</p> <ul> <li>/csv: contains the .csv versions of the version 2.0 data files, current through January 24, 2023</li> <li>/dta: contains the .dta versions of the version 2.0 data files, current through January 24, 2023</li> <li>/py: contains the python scripts used to construct and update the version 2.0 dataset</li> </ul> <p>The repository also contains 3 additional files:</p> <ul> <li>mysql.zip: a compressed archive containing a mySQL database dump for the Version 2.0 dataset, current through January 24, 2023.</li> <li>CA_TM_csv_cleanup_2023.do: this Stata do-file will convert .csv files generated by the python installation scripts into .dta files. (Users should perform a search-and-replace on the partial path "/mypath" to direct the script to the appropriate local directory before running the do-file.)</li> <li>downloadedupdates.txt: a text file listing all CIPO weekly update files included in the Version 2.0 dataset.</li> </ul> <p>If users wish to construct rather than download the Version 2.0 datafiles, they should run the script /py/CA_TM.py. This script will prompt the user to enter their IP Horizons SFTP credentials; these can be obtained by registering with CIPO at <a href="https://ised-isde.survey-sondage.ca/f/s.aspx?s=59f3b3a4-2fb5-49a4-b064-645a5e3a752d&lang=EN&ds=SFTP">https://ised-isde.survey-sondage.ca/f/s.aspx?s=59f3b3a4-2fb5-49a4-b064-645a5e3a752d&lang=EN&ds=SFTP</a>. Users may need to log in to this server with an SFTP client prior to running the script in order to validate the server's SSH certificate on their machine. The script will also prompt the user to enter their mySQL database credentials and identify a local directory for the data downloads and output files. Because the data archives are quite large, users are advised to create a target directory in advance and ensure they have at least 200GB of available storage on the media in which the directory is located.</p> <p>The CA_TM.py script can also be used to check for new weekly updates at CIPO, download them, add them to the mySQL database, and generate new .csv files. Users will be prompted to select either a clean install of the complete dataset (including the historical snapshot) or an update of their existing installation. Once the mySQL database is created and the historical snapshot is processed, users may run this script as often as they like to keep their installation of the dataset current with CIPO's weekly releases.</p> <p>Users who wish to regularly update their installation of the dataset but wish to avoid the lengthy initial installation process may instead wish to copy the mySQL database dump included in this release and run CA_TM.py periodically to keep it current. To do so, take the following steps:</p> <ol> <li>Download and expand the mysql.zip archive in the Version 2.0 repository, and use the mysql command from your command line to copy the extracted file (CA_TM_mysql_2023-01-24.sql) to your mySQL instance (replace bracketed variables with your actual credentials and path): <pre><code class="language-bash">mysql --host=[yourhost] --user=[username] -p[password] --port=3306 CA_TM < [path_to_file]/CA_TM_mysql_2023-01-24.sql</code></pre> </li> <li>Run the CA_TM.py script, provide the requested credentials and path, and then select option 3 ("Cancel installation and exit") when prompted.</li> <li>Download the file "downloadedupdates.txt" included in the Version 2.0 repository and copy it to the /XML_updates subfolder that was created by the CA_TM script in the filepath you provided.</li> <li>Run the CA_TM.py script again any time you wish to update your installation of the database, and select option 2 ("Update an existing dataset with the latest weekly files") when prompted.</li> </ol> <p>Users who update their dataset installation frequently may wish to edit the config.py script to hard-code their SFTP and mySQL credentials and their local file path, and to remove or comment out the commands that install nonstandard python libraries after the first installation. Such users should also be aware that the update script begins by creating a backup of the existing mySQL database in the "/mysql_backups" folder; users who do not require backups may wish to remove these files to save space once they have confirmed that their update was successful. Such users should also take care not to delete or modify the files generated by the update script to keep track of which weekly CIPO update files have already been incorporated into their installation of the dataset. These are:</p> <ul> <li>XML_updates/downloadedupdates.txt</li> <li>XML_updates/updatestobeconcatenated.txt</li> <li>XML_updates/updatestobeparsed.txt</li> </ul> <p>Additional terms of use are set forth in the release notes for Version 1.0.</p> <p>### VERSION 1.0 RELEASE NOTES ###</p> <p>This individual-application-level dataset includes records of all applications for registered trademarks in Canada since approximately 1980, and of many preserved applications and registrations dating back to the beginning of Canada’s trademark registry in 1865, totaling over 1.6 million application records. It includes comprehensive bibliographic and lifecycle data; trademark characteristics; goods and services claims; identification of applicants, attorneys, and other interested parties (including address data); detailed prosecution history event data; and data on application, registration, and use claims in countries other than Canada. The dataset has been constructed from public records made available by the Canadian Intellectual Property Office. Both the dataset and the code used to build and analyze it are presented for public use on open-access terms.</p> <p>Scripts are licensed for reuse subject to the Creative Commons Attribution License 4.0 (CC-BY-4.0), <a href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</a>. Data files are licensed for reuse subject to the Creative Commons Attribution License 4.0 (CC-BY-4.0), <a href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</a>, and also subject to additional conditions imposed by the Canadian Intellectual Property Office (CIPO) as described below.</p> <p><strong>Terms of Use:</strong></p> <p>As per the terms of use of CIPO's government data, all users are required to include the above-quoted attribution to CIPO in any reproductions of this dataset. They are further required to cease using any record within the datasets that has been modified by CIPO and for which CIPO has issued a notice on its website in accordance with its Terms and Conditions, and to use the datasets in compliance with applicable laws. These requirements are in addition to the terms of the CC-BY-4.0 license, which require attribution to the author (among other terms). For further information on CIPO’s terms and conditions, see <a href="https://www.ic.gc.ca/eic/site/cipointernet-internetopic.nsf/eng/wr01935.html">https://www.ic.gc.ca/eic/site/cipointernet-internetopic.nsf/eng/wr01935.html</a>. For further information on the CC-BY-4.0 license, see <a href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</a>.</p> <p>The following attribution statement, if included by users of this dataset, is satisfactory to the author, but the author makes no representations as to whether it may be satisfactory to CIPO:</p> <blockquote> <p><strong>The Canada Trademarks Dataset is (c) 2021 by Jeremy Sheff and licensed under a CC-BY-4.0 license, subject to additional terms imposed by the Canadian Intellectual Property Office. It contains data licensed by Her Majesty the Queen in right of Canada, as represented by the Minister of Industry, the minister responsible for the administration of the Canadian Intellectual Property Office. For further information, see <a href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</a> and <a href="https://www.ic.gc.ca/eic/site/cipointernet-internetopic.nsf/eng/wr01935.html">https://www.ic.gc.ca/eic/site/cipointernet-internetopic.nsf/eng/wr01935.html</a>.</strong></p> </blockquote> <p><strong>Details of Repository Contents:</strong></p> <p>This repository includes a number of .zip archives which expand into folders containing either scripts for construction and analysis of the dataset or data files comprising the dataset itself. These folders are as follows:</p> <ul> <li>/csv: contains the .csv versions of the data files</li> <li>/do: contains Stata do-files used to convert the .csv files to .dta format and perform the statistical analyses set forth in the paper reporting this dataset</li> <li>/dta: contains the .dta versions of the data files</li> <li>/py: contains the python scripts used to download CIPO’s historical trademarks data via SFTP and generate the .csv data files</li> </ul> <p>If users wish to construct rather than download the datafiles, the first script that they should run is /py/sftp_secure.py. This script will prompt the user to enter their IP Horizons SFTP credentials; these can be obtained by registering with CIPO at <a href="https://ised-isde.survey-sondage.ca/f/s.aspx?s=59f3b3a4-2fb5-49a4-b064-645a5e3a752d&lang=EN&ds=SFTP">https://ised-isde.survey-sondage.ca/f/s.aspx?s=59f3b3a4-2fb5-49a4-b064-645a5e3a752d&lang=EN&ds=SFTP</a>. The script will also prompt the user to identify a target directory for the data downloads. Because the data archives are quite large, users are advised to create a target directory in advance and ensure they have at least 70GB of available storage on the media in which the directory is located.</p> <p>The sftp_secure.py script will generate a new subfolder in the user’s target directory called /XML_raw. Users should note the full path of this directory, which they will be prompted to provide when running the remaining python scripts. Each of the remaining scripts, the filenames of which begin with “iterparse”, corresponds to one of the data files in the dataset, as indicated in the script’s filename. After running one of these scripts, the user’s target directory should include a /csv subdirectory containing the data file corresponding to the script; after running all the iterparse scripts the user’s /csv directory should be identical to the /csv directory in this repository. Users are invited to modify these scripts as they see fit, subject to the terms of the licenses set forth above.</p> <p>With respect to the Stata do-files, only one of them is relevant to construction of the dataset itself. This is /do/CA_TM_csv_cleanup.do, which converts the .csv versions of the data files to .dta format, and uses Stata’s labeling functionality to reduce the size of the resulting files while preserving information. The other do-files generate the analyses and graphics presented in the paper describing the dataset (Jeremy N. Sheff, <em>The Canada Trademarks Dataset</em>, 18 J. Empirical Leg. Studies (forthcoming 2021)), available at <strong><a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3782655">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3782655</a></strong>). These do-files are also licensed for reuse subject to the terms of the CC-BY-4.0 license, and users are invited to adapt the scripts to their needs.</p> <p>The python and Stata scripts included in this repository are separately maintained and updated on Github at <a href="https://github.com/jnsheff/CanadaTM">https://github.com/jnsheff/CanadaTM</a>.</p> <p>This repository also includes a copy of the current version of CIPO's data dictionary for its historical XML trademarks archive as of the date of construction of this dataset.</p> <p> </p>
Snowpack temperature profile dataset from a boreal forest watershed in eastern Canada.
<p>This dataset presents snow temperature profiles from nine different boreal forest sites in eastern Canada collected over two consecutive winters, 2016-17 and 2017-18. The dataset includes snowpack temperature profiles, snow depth, air temperature, and soil temperature. In addition, the two flux towers provided us with the additional heat and water vapour fluxes. We also present data extracted from intensive snow coring and snowpit surveys, conducted on a weekly and bi-weekly basis. Additionally, stable water isotope data collected from individual snowpack are presented here. </p> <p>To learn more about the additional information about the data, please read the "Readme.txt" file. </p>
Year-round metabolism data from Lakes Simcoe (Ontario, 2010-2011), Diefenbaker, Blackstrap, and Broderick (Saskatchewan, 2013-2014), Canada.
This year-round limnology dataset is from four dimictic Canadian water bodies: three mesotrophic reservoirs in southern Saskatchewan (SK; Blackstrap, Broderick, Diefenbaker) and one oligo-mesotrophic large lake in southern Ontario (Lake Simcoe). Physical, chemical, and biological parameters were measured during the open-water and ice-covered seasons in 2010–2011 (Lake Simcoe) and the SK reservoirs in 2013–2014. Two stations were sampled on Blackstrap reservoir, one on Broderick reservoir, three on Diefenbaker reservoir, and seventeen on Lake Simcoe. Sampling was conducted from a boat during the open-water season and during winter, we accessed the same stations by snowmobile and sampled through holes in the ice. Epilimnetic or surface water was collected for parameters listed below, and δ18O-O2 (oxygen) stable isotope samples were collected from one to 4 depths per station, depending on water column depth and lake thermal structure that day. Parameters reported included photosynthetically active radiation, vertical attenuation coefficient, mean daily mixed layer irradiance, total phosphorus, total dissolved phosphorus, dissolved reactive phosphorus, total dissolved nitrogen, particulate nitrogen, ammonium, nitrate, chlorophyll a, particulate organic carbon, and phytoplankton biovolumes. Photosynthesis irradiance (P-E) parameters were measured including the light saturation parameter, maximum relative electron transport rate through PSII, and the light limited slope of the P-E curve. We also measured areal net productivity, areal gross productivity, and areal respiration via three different methods including fluorometry via a Water-PAM fluorometer, O2 concentrations and δ18O-O2 values, and light-dark bottle experiments measuring changes in O2 concentrations.
Ground-truthing of satellite imagery to track harmful algal blooms in Pigeon Lake, Alberta, Canada 2017-2022
This data was collected to create a calibrated model that would enable the use of satellite imagery to track harmful algal blooms by using chlorophyll a estimates as a proxy for cyanobacteria in the lake. Samples from Pigeon Lake were collected on the same day that the Sentinel-2 satellite would pass over the lake. These samples were analyzed for different algal pigments and enumerated to genus level to ensure that the satellite imagery was of cyanobacteria rather than different algal groups. An algorithm was developed which we termed the three band index (TBI) that best matched with the cholorophyll a from the in situ samples. This model was used on satellite imagery from 2017-2022 of Pigeon Lake to get chlorophyll a estimates for every 20 x 20 pixel of each image of the lake. This pixel data was used to determine different bloom metrics like the intensity, the area (extent) and severity.
Long-term monitoring of peatlands located near oil sands mining activities surrounding Fort McMurray, Alberta, Canada (2009-Present)
Oil sands mining activities in the Fort McMurray region of Alberta, Canada, have led to increased atmospherically deposited nitrogen (N) and sulfur (S), with N steadily increasing over time and S peaking in 2009, then decreasing with the installation of scrubbers on upgrader stacks. Ecosystems (such as ombrotrophic bogs) near these mining activities see an increase to their depositional load. These peatlands are isolated from groundwater and receive inputs only from precipitation, making them uniquely susceptible to changing depositional scenarios. To evaluate the effect of oil sands development on bogs in this area, since 2009, we have collected and analyzed porewater (pH, conductivity, NH 4 + -N, NO 3 - -N, SO 4 2- -S, and total dissolved N), N and S as represented in extractions of ion exchange resin precipitation collectors (NH 4 + -N, NO 3 - -N, SO 4 2- -S), samples of new growth from the most dominant plant species (C, N, and S, with Ca, Mg, K, and P analyzed in later years), and have recorded annual growth of vegetation. For a majority of the years, we have sampled at least 3 times (June, July, and August). Some sites have burned and have been replaced by others, however, collections are on-going and data from these collections are uploaded as they are published.
Data to explore circular manureshed management in beef supply chains of the United States and western Canada
Circular management of beef supply chains holds great promise for improving sustainability from grazing agroecosystem to dinner plate. In the United States and Canada, one approach to circularity entails transporting manure nutrients from cattle produced in feedlots back to the grazing agroecosystems where they originated to enrich haylands for further grazing cattle production. We provide data to assess this strategy centered around three grazing agroecosystems: Florida, New Mexico, and the provincial assemblage of Manitoba, Saskatchewan, Alberta, British Columbia. We describe four datasets that can be used to estimate the potential nutrient utilization of hay fed to grazing cattle in the three grazing agroecosystems and the magnitudes of feedlot manure nutrients available for transport back to them. We found that although biogeography and management differ among the three grazing agroecosystems, the hay allocated for grazing cattle represented approximately 65% of the total harvested hay produced per agroecosystem after accounting for harvest losses, and that on average all three areas exported about 450,000 cattle annually for feedlot, pasture, and slaughter to states across the US. Although we highlight only three grazingland settings, our approach relies on methods that could ultimately be scaled nationally and internationally, with applicability to other animal industries for which circular management is an aspiration for sustainability outcomes.
Seasonal high-frequency measurements of discharge, water temperature, and specific conductivity from Canada Stream at F1, McMurdo Dry Valleys, Antarctica (1990-2023, ongoing)
As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a systematic sampling program has been undertaken to monitor the glacial meltwater streams in this region. This package contains data pertaining to continuous monitored water quality and quantity parameters measured with automatic recording devices on streams in this region. Specifically, this metadata record describes the hydrology data set for the McMurdo Dry Valleys' Canada Stream at the F1 streamgage, located in the Fryxell Basin of Taylor Valley. Measurements commenced during the 1990-91 season and are ongoing. This dataset extends through the first half of the 2022-23 field season.
Daily summarized seasonal measurements of discharge, water temperature, and specific conductivity from Canada Stream at F1, McMurdo Dry Valleys, Antarctica (1990-2023, ongoing)
As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a systematic sampling program has been undertaken to monitor the glacial meltwater streams in that region. This package contains daily summaries derived from 15-minute measurements of water quality and quantity parameters measured with automatic recording devices on streams in this region. Specifically, this metadata record describes the daily hydrological summaries for the McMurdo Dry Valley's Canada Stream at F1, located in the Fryxell Basin of Taylor Valley. Measurements commenced during the 1990-91 austral summer and are ongoing. This dataset extends through the first half of the 2022-23 field season.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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