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Data examining the comparative effect of salt and soil pores on the freezing characteristic curve of laboratory and field soils
Federated Research Data Repository / dépôt fédéré de données de recherche
Amankwah, Seth K.; Ireson, Andrew; Maule, Charles; Brannen, Rosa; Mathias, Simon — The data sets were used in studying the role of salt and soil pore on the freezing characteristic curve of frozen soils. In the laboratory, the soil moisture characteristic curve (SMC) of a silica sand was measured using a Hydraulic Property Analyzer (HYPROP). The soil freezing characteristic curve (SFC) of the same sand was measured using a series of column experiments with controlled total water content and pore-water salinity. In the field, data were collected from the St Denis National Wildlife Area (SDN), a mixed grassland cropped site in the Canadian prairies in Saskatchewan and the Boreal Ecosystem Research and Monitoring Sites (BERMS) Old Jack Pine (OJP) site in Saskatchewan, Canada. The data were used to validate the performance of three alternative SFC models (capillary, salt exclusion, and the combined capillary salt models). https://creativecommons.org/licenses/by/4.0/
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Aggregated gridded bedrock depth dataset for Mackenzie and Nelson-Churchill River Basin based on bedrock data by Shangguan et al. (2017)
Federated Research Data Repository / dépôt fédéré de données de recherche
Keshav, Kuljeet; Haghnegahdar, Amin; Gharari, Shervan; Elshamy, Mohamed; Razavi, Saman — The bedrock dataset created by Shangguan et al. (2017) is aggregated to a lower resolution (larger pixels) of 0.125 degree for Mackenzie and Nelson-Churchill River Basins for its applicability with Hydrology and Land Surface Models. This dataset is in particular generated for using with MESH (Modélisation Environnementale communautaire - Surface Hydrology), a distributed coupled hydrology-land surface model developed by Environment and Climate Change Canada, as applied to Mackenzie and Nelson-Churchill River Basins. The statistics calculated for each final larger pixel (0.125 degrees) include mean, median, maximum, minimum, and standard deviation of the original higher resolution pixels within it. Also, in order to provide an idea of the reliability of this transformation, a corresponding 0.125 degrees raster dataset is created containing the number of missing values (NA) from the Shangguan et al. (2017) dataset within each larger 0.125 degree pixels. https://creativecommons.org/licenses/by/4.0/
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Hydrometeorological observations at three boreal forest sites (aspen, jack pine, and black spruce) located in central Saskatchewan, Canada
Federated Research Data Repository / dépôt fédéré de données de recherche
Black, T. Andrew; Ahmed, Hafiz Faizan; Helgason, Warren; Barr, Alan G. — Long-term observations are presented here from two coniferous (jack pine and black spruce) and one deciduous (aspen) forest sites located in central Saskatchewan, Canada. These sites were initiated through the Boreal Ecosystem and Atmosphere Study (BOREAS) program during 1994-96 (http://boreas.gsfc.nasa.gov/) and were later operated under the Boreal Ecosystem Research and Monitoring Sites (BERMS) program. All three sites were equipped with rich instrumentation that include walk-up scaffold towers fitted with sensors to measure air temperature, humidity and wind speed, above canopy shortwave and longwave radiation components, as well as fluxes of energy, carbon and water. Other onsite measurements included precipitation, snow depth, snow density, snow temperature, soil temperature and moisture profiles. These observations are useful for an improved understanding about the contrasts among sites. Moreover, the data is also very useful for modelling applications (calibration and validation). In addition to site observations, dynamically downscaled future meteorological observations by the Weather Research Forecast (WRF) model using Pseudo Global Warming (PGW) approach are included in the dataset. The WRF data was biased corrected by quantile-mapping method using the observed dataset. Thus, the data is ideal for testing, development, calibration, improvement, and validation of hydrological and/or land surface models as well as for projecting future changes in critical processes under changing climate. https://creativecommons.org/licenses/by/4.0/
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Basin Geometry and Mountain Snowpack Responses to Climate Change: Data, Code, and Figures
Federated Research Data Repository / dépôt fédéré de données de recherche
Shea, Joseph M.; Whitfield, Paul H.; Fang, Xing; Pomeroy, John — This dataset contains the code and data files needed to produce the analyses and figures in Shea et al. (2021), doi:10.3389/frwa.2021.604275. The data used in this study are derived from publicly available data sets. These include global elevation data, river basin boundaries, climate normals, automated snow pillows, and manual snow course observations. The Cold Regions Hydrological Model (CRHM, v.05/15/19) was used to produce daily estimates of snowmelt for 50 basins using identical elevation ranges and bands, identical accumulation gradients, and identical climate inputs. Only the hypsometry (area-elevation distribution) was varied for each model run. Analysis of hypsometry, climate inputs, and CRHM outputs is given in a Jupyter notebook running Python 3.7.6.
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Meteorological and spatial datasets for Saint John River Basin
Federated Research Data Repository / dépôt fédéré de données de recherche
Budhathoki, Sujata; Rokaya, Prabin; Lindenschmidt, Karl-Erich; Elshamy, Mohamed — The Saint John River Basin (SJRB) is an important transboundary coastal river basin in northeastern North America. Meteorological forcing data play a pivotal role in model performance and therefore can introduce a large degree of uncertainty in hydrological modelling. The data archived here comprises the processed meteorological and spatial dataset used for the modelling purpose for SJRB as reported in Budhathoki et al., 2021.
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EM-Earth: The Ensemble Meteorological Dataset for Planet Earth
Federated Research Data Repository / dépôt fédéré de données de recherche
Clark, Martyn; Papalexiou, Simon Michael; Tang, Guoqiang — Gridded meteorological estimates are essential for many applications. Most existing meteorological datasets are deterministic and have limitations in representing the inherent uncertainties from both the data and methodology used to create gridded products. We develop the Ensemble Meteorological Dataset for Planet Earth (EM-Earth) for precipitation, mean daily temperature, daily temperature range, and dew-point temperature at 0.1° spatial resolution over global land areas from 1950 to 2019. EM-Earth provides hourly/daily deterministic estimates, and daily probabilistic estimates (25 ensemble members), to meet the diverse requirements of hydrometeorological applications. The deterministic estimates can be used like most meteorological datasets such as ERA5, MERRA2, and GPM IMERG. The probabilistic estimates can enable ensemble hydrological simulation and support easy uncertainty analysis. Please read the README.txt before downloading. The document introduces the dataset structure, including the meaning of different folders and their total sizes, which can help you decide the best downloading option. You can also contact the authors (guoqiang.tang@usask.ca) if you have problems downloading the dataset. Reference: Guoqiang Tang, Martyn P. Clark, Simon Michael Papalexiou. EM-Earth: The Ensemble Meteorological Dataset for Planet Earth. Bulletin of the American Meteorological Society. 2022 https://creativecommons.org/licenses/by/4.0/
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Spatial data files for "Spatial distribution of agricultural pesticide use and predicted wetland exposure in the Canadian Prairie Pothole Region"
Federated Research Data Repository / dépôt fédéré de données de recherche
Malaj, Egina; Liber, Karsten; Morrissey, Christy A. — Spatial GIS data layers and maps of modeled a) Pesticide Use Density (PUD) and b) Wetland Pesticide Occurrence Index (WPOI) of herbicides, fungicides an insecticides in the agricultural extent of the Canadian Prairie Pothole Region. https://creativecommons.org/licenses/by/4.0/
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Bow River at Banff (05BB001) Stage and Discharge Measurements
Federated Research Data Repository / dépôt fédéré de données de recherche
Whitfield, Paul H.; Pomeroy, John — Stage Discharge measurements and metadata for 1091 stage discharge measurements made from 1909 to 1986 were extracted from paper records and combined with the 387 made between 1987 and 2015 that were available in electronic form. Measurements had been recorded in Imperial units from 1909 to 1976; these were extracted and put into electronic form and then converted to metric units. https://creativecommons.org/publicdomain/zero/1.0/
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Medium-Resolution Surface Meteorological Forcing Data for Hydrological Modelling and Climate Change Impact Analysis over most of North America
Federated Research Data Repository / dépôt fédéré de données de recherche
Princz, Daniel; Wheater, Howard; Pietroniro, Alain; Cannon, Alex; Asong, Zilefac Elvis; Elshamy, Mohamed; Pomeroy, John — This dataset provides an improved set of forcing data for large-scale hydrological modelling and climate change impacts assessment over a domain covering most of North America. The EU WATCH ERA-Interim reanalysis (WFDEI) has a long historical record (1979-2016) and global coverage. 30 years of WFDEI data (1979-2008) were used to bias-correct climate projections from 15 ensemble members of Canadian Centre for Climate Modelling and Analysis Canadian Regional Climate Model (CanRCM4) simulations between 1951–2100 under Representative Concentration Pathway— RCP8.5. A multivariate bias correction algorithm (MBCn) was used to adjust the joint distribution of a set of seven meteorological variables, preserving their auto and cross correlations simultaneously. An analysis of the datasets shows the biases in the CanRCM4 during the historical period with respect to WFDEI have been removed and that the climate change signals in CanRCM4 are preserved. The resulting bias-corrected dataset (CanRCM4-WFDEI 3h*0.50ᵒ resolution) is a consistent set of historical and climate projection data suitable for large-scale modelling and future climate scenario analysis. **Please note: This dataset is linked to an ESSD paper at https://doi.org/10.5194/essd-12-629-2020.  The authors kindly request that you reference this paper in addition to the dataset. https://creativecommons.org/licenses/by/4.0/
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Aggregated gridded soil texture dataset for Mackenzie and Nelson-Churchill River Basins.
Federated Research Data Repository / dépôt fédéré de données de recherche
Keshav, Kuljeet; Haghnegahdar, Amin; Gharari, Shervan; Elshamy, Mohamed; Razavi, Saman — The dataset contains 0.125 resolution gridded soil texture data for Mackenzie and Nelson-Churchill River Basins. The data has been aggregated from two source datasets, namely Soil Landscapes of Canada 2.2 dataset and STATSGO2 dataset for USA. The final texture data has the minimum, maximum and average percent for sand, clay and organic components of soil per grid cell of the two basins. This data set is particularly created for the use with MESH (Modélisation Environnementale communautaire - Surface Hydrology), a distributed coupled hydrology-land surface model developed by Environment and Climate Change Canada, as applied to Mackenzie and Nelson-Churchill River Basins. It can be used for similar applications of land surface, hydrology, or environmental models as appropriate. https://creativecommons.org/licenses/by/4.0/
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Hydrometeorological data from Marmot Creek Research Basin, Canadian Rockies
Federated Research Data Repository / dépôt fédéré de données de recherche
DeBeer, Chris; Siemens, Evan; Fang, Xing; Pomeroy, John; Harder, Phillip — Meteorological, snow survey, streamflow, and groundwater data are presented from Marmot Creek Research Basin, Alberta, Canada. The basin is a 9.4 km2, alpine-montane forest headwater catchment of the Saskatchewan River Basin that provides vital water supplies to the Prairie Provinces of Canada. It was heavily instrumented, experimented upon and operated by several federal government agencies between 1962 and 1986, during which time its main and sub-basin streams were gauged, automated meteorological stations at multiple elevations were installed, groundwater observation wells were dug and automated, and frequent manual measurements of snow accumulation and ablation and other weather and water variables were made. Over this period, mature evergreen forests were harvested in two sub-basins, leaving large clear-cuts in one basin and a “honeycomb” of small forest clearings in another basin. Whilst meteorological measurements and sub-basin streamflow discharge weirs in the basin were removed in the late 1980s, the federal government maintained the outlet streamflow discharge measurements and a nearby high elevation meteorological station, and the Alberta provincial government maintained observation wells and a nearby fire weather station. Marmot Creek Research Basin was intensively re-instrumented with 12 automated meteorological stations, four sub-basin hydrometric sites and seven snow survey transects starting in 2004 by the University of Saskatchewan Centre for Hydrology. The observations provide detailed information on meteorology, precipitation, soil moisture, snowpack, streamflow, and groundwater during the historical period from 1962 to 1987 and the modern period from 2005 to the present time. These data are ideal for monitoring climate change, developing hydrological process understanding, evaluating process algorithms and hydrological, cryospheric or atmospheric models, and examining the response of basin hydrological cycling to changes in climate, extreme weather, and land cover through hydrological modelling and statistical analyses. **Please note: This dataset is linked to an ESSD paper at https://doi.org/10.5194/essd-11-455-2019.  The authors kindly request that you reference this paper in addition to the dataset. https://creativecommons.org/licenses/by/4.0/
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A 1000-yr record of temperature from isotopic analysis of the deep critical zone in central China
Federated Research Data Repository / dépôt fédéré de données de recherche
Wang, Hongxiu; Li, Han; Xiang, Wei; Lu, Yanwei; Wang, Huanhuan; Hu, Wei; Si, Bingcheng; Jasechko, Scott; McDonnell, Jeffrey — A 98 m soil core from the Loess Plateau of China was extracted for soil water 2H, 18O, 3H, and chloride concentration measurement. https://creativecommons.org/publicdomain/zero/1.0/
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Differential sex responses of fathead minnow (Pimephales promelas) gut microbiota to a short-term environmentally-relevant aqueous exposure to benzo[a]pyrene
Federated Research Data Repository / dépôt fédéré de données de recherche
Grimard, Chelsea; DeBofsky, Abigail; Xie, Yuwei; Brinkmann, Markus; Hecker, Markus; Giesy, John — Vertebrate gut microbiota are responsible for regulating several beneficial functions, from development of an organism to maintaining energy homeostasis. However, little is known about the impact of chemical exposures on the structure and function of gut microbiota of fishes. To ascertain a link between contaminant exposure and microbial disruption, male and female fathead minnows (Pimephales promelas) were aqueously exposed to low concentrations of benzo[a]pyrene (BaP) (concentrations ranged from 0.0226 g/L to 1.3 g/L) as well as fish exposed to a solvent control for four days. The samples were sterilely collected from whole fathead minnow guts and stored at -80C until DNA extraction. Gut microbiota were assessed using 16S rRNA metagenetics. Low-level aqueous exposure to BaP resulted in community shifts in bacterial composition in female, but not male, fish. Each fish was analyzed independently (samples were not pooled).This research illustrates that in addition to the well-studied molecular endpoints, community composition of fish gut microbiota can also be impacted by chemical stressors, providing an additional pathway for the generation of adverse effects. https://creativecommons.org/licenses/by/4.0/
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Fortress Mountain Snow Laboratory, Blowing Snow Camera Measurements, and Wind Velocity Data
Federated Research Data Repository / dépôt fédéré de données de recherche
Aksamit, Nikolas; Pomeroy, John — These data files include airborne blowing snow density measurements using a portable highspeed camera and 432 nm wavelength laser light plane apparatus. Blowing snow measurements were taken in the first 30 mm above the snow surface. Approx 30 cm away in the spanwise direction across the mean wind direction were two Campbell Scientific CSAT3 sonic anemometers situated on a single mast. The anemometers sampled raw measurements at 50 Hz. The height about snow for the two anemometers (Upper=U, Lower=L) varied throughout the season: 20 Nov 2015: U=150 cm L=20 cm ; 4 Dec 2015: U=170 cm L=40 cm ; Dec 7 2015: U=170 cm L=40 cm ; Feb 3 2016: U=155 cm L=25 cm ; Mar 3 2016: U=140 cm L=10 cm The basin is located in the headwater of Saskatchewan River Basin that provides vital water supplies to the Canadian Prairie Provinces. https://creativecommons.org/publicdomain/zero/1.0/
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Baker Creek Research Catchment Hydrometeorological and Hydrological Data
Federated Research Data Repository / dépôt fédéré de données de recherche
Hedstrom, Newell; Spence, Chris — It is uncommon to collect long term coordinated hydrometeorological and hydrological data in northern circumpolar regions. However, such datasets can be very valuable for engineering design, improving environmental prediction tools or detecting change. This dataset documents hydrometeorological and hydrological conditions in the Baker Creek Research Catchment from 2003 to 2016. Baker Creek drains water from 155 km2 of subarctic Canadian Shield terrain in Canada’s Northwest Territories. Seasonal half hourly hydrometeorological, ground temperature and soil moisture data were collected from representative locations, including exposed Precambrian bedrock ridges, peatlands, open black spruce forest and lakes. Hydrometeorological data includes incoming radiation, rainfall, temperature, humidity, winds, barometric pressure, and turbulent fluxes. Spring maximum snowpack water equivalent, depth and density data are included. Daily streamflow data are available from a series of nested watersheds ranging in size from 9 to 128 km2. These data provide the scientific and engineering communities with an opportunity to advance understanding of geophysical processes and improve infrastructure resiliency in this remote region. **Please note: this dataset is linked to an ESSD paper at https://doi.org/10.5194/essd-10-1753-2018.  The authors kindly request that you reference this paper in addition to the dataset. https://creativecommons.org/licenses/by/4.0/
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RNA metabarcoding to assess zooplankton community response to environmental influence in boreal lake experimental enclosures
Federated Research Data Repository / dépôt fédéré de données de recherche
Havens, Sonya; Timlick, Lauren; Ankley, Phillip; Xie, Yuwei; Peters, Lisa; Rodriguez-Gil, Jose Luis; Giesy, John; Palace, Vince — Zooplankton metabarcoding can provide a high-throughput method for characterizing community response to environmental stressors. There are issues, however, with inferring actual response to stressors using DNA metabarcoding as it cannot distinguish alive organisms within bulk samples. Here we used normalized vitality, namely RNA metabarcoding normalized by DNA metabarcoding, to characterize the zooplankton community response to environmental influence. DNA and RNA metabarcoding was also applied in the context of assessing response of the zooplankton community exposed to simulated spills of diluted bitumen (dilbit), with experimental remediation practices of enhanced monitored natural recovery and shoreline cleaner application. Zooplankton samples were collected via pump on days -3 and 11 and 38 days after the simulated dilbit spill. The zooplankton samples were co-extracted for DNA and RNA and were PCR amplified targeting the mitochondrial Cytochrome c Oxidase subunit I gene (CO1) region, with amplicon sequencing following. The dataset includes the demultiplexed sequencing output, the feature table with species-level taxonomic annotation, and the sample metadata. This dataset contains data from enclosures in rock and cobble substrate. Note that a similar study was conducted for wetland habitat enclosures, with different analyses and interpretation being conducted on the data (dataset available at https://doi.org/10.20383/101.0313). https://creativecommons.org/licenses/by/4.0/
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DNA and RNA zooplankton metabarcoding to assess the efficacy of different oil spill clean-up techniques in a boreal lake
Federated Research Data Repository / dépôt fédéré de données de recherche
Black, Tyler; Perry, McKenzie; Paterson, Michael; Hanson, Mark; Higgins, Scott; Ankley, Phillip; Xie, Yuwei; DeBofsky, Abigail; Giesy, John; Palace, Vince — Emerging tools, namely metabarcoding, has promise for high-throughput and benchmarkable biomonitoring of freshwater zooplankton communities. Additionally, regulators require further information to select best practices for remediating freshwater ecosystems after oil spills. DNA and RNA metabarcoding, or present and active zooplankton, respectively, was applied to compare with traditional morphological identification of freshwater zooplankton in experimental boreal shoreline enclosures. DNA and RNA metabarcoding was also applied in the context of assessing response of the zooplankton community exposed to simulated spills of diluted bitumen (dilbit), with experimental remediation practices of enhanced monitored natural recovery and shoreline cleaner application. Zooplankton samples were collected via pump on day -3 and 11 and 38 days after the simulated dilbit spill. The zooplankton samples were co-extracted for DNA and RNA and were PCR amplified targeting the mitochondrial Cytochrome c Oxidase subunit I gene (CO1) region, with amplicon sequencing following. This dataset includes the demultiplexed sequencing output, the feature table with genus-level taxonomic annotation, and the sample metadata used for hypothesis testing. This dataset contains data from wetland habitat enclosures. Note that a similar study was conducted for rock habitat enclosures, with different analyses and interpretation being conducted on the data (dataset available at https://doi.org/10.20383/102.0332). https://creativecommons.org/licenses/by/4.0/
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Atmospheric, soil, surface and groundwater data from the St Denis National Wildlife Area, Saskatchewan, Canada
Federated Research Data Repository / dépôt fédéré de données de recherche
Bam, Edward; Van der Kamp, Garth; Ireson, Andrew; Spence, Chris; Brannen, Rosa; Budhathoki, Sujata — The St Denis National Wildlife Area database contains data for the prairie research site, St Denis National Wildlife Research Area, and includes atmosphere, soil, and groundwater. The meteorological measurements are observed every 5 seconds, and half-hourly averages (or totals) are logged. Soil moisture data comprise volumetric water content, soil temperature, electrical conductivity and matric potential for probes installed at depths of 5 cm, 20 cm, 50 cm, 100 cm, 200 cm and 300 cm in all soil profiles. Additional data on snow surveys, pond and groundwater levels, and water isotope isotopes collected on an intermittent basis between 1968 and 2018.The metadata table provides location information, information about the full range of measurements carried out on each parameter and GPS locations that are relevant to the interpretation of the records. **Please note: This dataset is linked to an ESSD paper at https://doi.org/10.5194/essd-11-553-2019.  The authors kindly request that you reference this paper in addition to the dataset. https://creativecommons.org/licenses/by/4.0/
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The Swift Current hillslopes, Saskatchewan: Digital elevation data
Federated Research Data Repository / dépôt fédéré de données de recherche
Coles, Anna; Russell, Mark; Onclin, Cuyler; Solohub, Michael; McDonnell, Jeffrey; Helgason, Warren; Peterson, Amber — The Swift Current hillslopes at the Swift Current Research and Development Centre on the Canadian Prairies are a long-term hydrological research site. Over the last 50 years, the site has supported research on the effects of climate change and land management change on snowmelt-runoff, soil erosion and nutrient transport from agricultural hillslopes. High-resolution digital elevation data are essential for spatially-distributed understanding of these runoff delivery and transport processes. The three hillslopes are rectangular in shape, each approximately 150 m wide (east-west) and 300-320 m long (north-south), with areas of 4.25 ha (Hillslope 1), 4.66 ha (Hillslope 2), and 4.86 ha (Hillslope 3). This dataset provides two sets of bare-ground digital elevation data for the Swift Current hillslopes. The first set contains digital elevation data collected at a 2 m horizontal resolution for each of the three hillslopes using a Leica Viva GS15 on 17-18 April 2012. The second set contains two digital elevation models at a 0.25 m horizontal resolution for Hillslope 2 obtained using an Optech ILRIS-LR Terrestrial Laser Scanner on 7 July 2014 and 24 September 2014. These finer-resolution 2014 surveys capture the surface micro-topography of Hillslope 2 under a tilled condition with non-directional variations in surface roughness (random toughness) as well as under a seeded condition with uni-directional ridge-and-furrow features (oriented roughness). These digital elevation data provide the scientific and engineering communities with an opportunity to advance our understanding of spatial hydrological processes and the importance of micro-topographic features. **Please note: This dataset is linked to an ESSD paper at https://doi.org/10.5194/essd-11-1375-2019.  The authors kindly request that you reference this paper in addition to the dataset. https://creativecommons.org/licenses/by/4.0/
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Hydrometeorological data collected at Wolf Creek Research Basin, Yukon Territory, Canada over 1993-2014
Federated Research Data Repository / dépôt fédéré de données de recherche
Janowicz, J. Richard; Williams, Tyler; Carey, Sean; Rasouli, Kabir; Pomeroy, John — A set of hydrometeorological data including daily precipitation, hourly air temperature, humidity, wind, solar and net radiation, soil temperature, soil moisture, snow depth and snow water equivalent, streamflow, and water level in a groundwater well, and geographical information system data are presented in this dataset. This dataset was recorded at different elevation bands in Wolf Creek Research Basin, near Whitehorse, Yukon Territory in Canada representing forest, shrub tundra, and alpine tundra biomes from 1993 through 2014. **Please note: This dataset is linked to an ESSD paper at https://doi.org/10.5194/essd-11-89-2019.  The authors kindly request that you reference this paper in addition to the dataset. https://creativecommons.org/licenses/by/4.0/

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