Recherche

Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
Hydrometeorological data collected at Wolf Creek Research Basin, Yukon Territory, Canada over 1993-2014
Federated Research Data Repository / dépôt fédéré de données de recherche
Rasouli, Kabir; Pomeroy, John; Janowicz, J. Richard; Williams, Tyler; Carey, Sean — 2024-03-27 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/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
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; Brannen, Rosa; Budhathoki, Sujata; Ireson, Andrew; Spence, Chris; Van der Kamp, Garth — 2024-03-27 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/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
A soil moisture and precipitation dataset from the Kenaston/Brightwater Creek basin, Saskatchewan, Canada, 2007 - 2017
Federated Research Data Repository / dépôt fédéré de données de recherche
Tetlock, Erica; Toth, Brenda; Berg, Aaron; Rowlandson, Tracy; Ambadan, Jaison Thomas — 2024-03-27 The Kenaston Network, located in the Brightwater Creek basin in central Saskatchewan, is a community monitoring network with a variety of monitoring instruments. The area is a typical agricultural region with both annually cropped fields and pasture sections. Dataset presented here is from the soil moisture and precipitation sites which are spread at two spatial scales (10 km x 10 km and 40 km x 40 km) over the monitoring region. Data from the summer months (May 1 – Sept 30) is included for 2007 – 2017. Each site has at least three Stevens Hydra Probe soil moisture sensors, inserted horizontally at depths of 5, 20, and 50 cm below the surface, with sites at the 10 km x 10 km scale instrumented with an additional vertically placed sensor, measuring over the depth 0-5 cm. Parameters reported from the probes are soil temperature, real dielectric constant, and soil moisture calculated using the Stevens loam calibration equation. All sites have one of two types of tipping bucket rain gauge (Onset RG3 or Hydrological Services TB3) to provide summer precipitation totals. All data from the network have been through a quality control/quality analysis process that includes a series of automated checks followed by a manual review of all sensor parameters. **Please note: This dataset is linked to an ESSD paper at https://doi.org/10.5194/essd-11-787-2019.  The authors kindly request that you reference this paper in addition to the dataset. https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
The Swift Current hillslopes, Saskatchewan: Digital elevation data
Federated Research Data Repository / dépôt fédéré de données de recherche
Coles, Anna; Russell, Mark; Onclin, Cuyler; Helgason, Warren; Peterson, Amber; Solohub, Michael; McDonnell, Jeffrey — 2024-03-27 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/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
A multi-scale meteorological dataset of the June 2013 flood in Southern Alberta, Canada
Federated Research Data Repository / dépôt fédéré de données de recherche
Vionnet, Vincent; Fortin, Vincent; Gaborit, Étienne; Roy, Guy; Abrahamowicz, Maria; Gasset, Nicolas; Pomeroy, John W — 2024-03-27 From June 19 to June 22, 2013, intense rainfall and concurrent snowmelt led to devastating floods in the Canadian Rockies, foothills and downstream areas of southern Alberta (Canada). The complexity of the topography in the upper catchments and the presence of snow at high elevations made, among other factors, hydrological forecasting challenging for this extreme event. This dataset contains an ensemble of variables at different resolutions (10, 2.5 and 1 km) that can be used to drive hydrological models during this extreme event. The latest operational version of the Canadian Numerical Weather Prediction model GEM (Global Environmental Multi-scale) was used to recreate the atmospheric conditions during the flooding event. Short-term 12-h forecasts were produced 4 times per day from 18 June 2013 00 UTC to 22 June 2013 12 UTC. Four 6-h quantitative precipitation estimation products were then generated using the Canadian Precipitation Analysis (CaPA) system by varying (i) the station density (especially in the upper parts of the catchments) and (ii) the horizontal resolution of the GEM precipitation background. https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
Raw data and video outputs from a CE-QUAL-W2 hydrodynamic and nutrient model for different Lake Diefenbaker Reservoir withdrawal depth scenarios
Federated Research Data Repository / dépôt fédéré de données de recherche
Sadeghian, Amir; Carr, Meghan; Lindenschmidt, Karl-Erich; Morales-Marin, Luis — 2024-03-27 The Lake Diefenbaker CE-QUAL-W2 model has 87 horizontal segments starting at Saskatchewan highway 4 at the upstream extending to the Gardiner Dam and the Qu’Appelle Dam at downstream, and one-meter vertical layers with a maximum of 60 layers at the deepest point near the Gardiner Dam. Gardiner dam outflow is either via metalimnetic withdrawal through hydroelectric turbines or via a spillway during brief high flow periods. The current operational withdrawal depth of approximately 34m was altered in the model according to six extraction depth scenarios (5, 15, 25, 35, 45, and 55 m) to determine impacts on nutrient distribution and concentrations within the reservoir. The model is calibrated for water temperature, PO4, organic P, TN , NH4, NO3, organic N, and dissolved oxygen. **Please note: This dataset is linked to a Scientific Data paper at https://doi.org/10.1038/s41597-019-0316-y. The authors kindly request that you reference this paper in addition to the dataset. https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
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
Ahmed, Hafiz Faizan; Helgason, Warren; Barr, Alan G.; Black, T. Andrew — 2024-03-27 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/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
An ensemble of 500 time series of weekly flows from 1600-2001 for the four sub-basins of the Saskatchewan River Basin generated through disaggregating tree-ring reconstructed flow.
Federated Research Data Repository / dépôt fédéré de données de recherche
Slaughter, Andrew; Razavi, Saman — 2024-03-27 Biennial flow reconstructions generated through multiple linear regression relationships between flow and tree-ring chronologies extending from 1600–2001 were disaggregated to weekly by identifying two-year periods in the naturalised reference flow broadly similar to that of the reconstructed flow. The weekly flow distribution of the identified naturalised reference flow period was used to construct the weekly flow. Scaling methods were used to re-introduce some of the variability in yearly flows lost during the disaggregation process. The flow data produced were verified to have broadly retained the variability and persistence of the reference flows. An ensemble of 500 flow time series for each sub-basin was generated to represent the high uncertainty inherent in the statistical relationships and disaggregation method. **Please note: This dataset is linked to an ESSD paper at https://doi.org/10.5194/essd-12-231-2020.  The authors kindly request that you reference this paper in addition to the dataset. https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
Aggregate hydraulic conductivity data from site investigations in south-central Saskatchewan, Canada
Federated Research Data Repository / dépôt fédéré de données de recherche
Ferris, David M.; Ferguson, Grant A.G.; Potter, Gregory — 2024-03-27 Pleistocene-aged glacial till aquitards are important shallow hydrogeological units across much of the Northern Hemisphere. Characterizing the hydrogeological properties of these aquitards at a regional scale is important for land use planning and resource management. Here, 606 hydraulic conductivity data points from 20 sites collected from 26 reports are compiled. The referencing information, spatial location, hydraulic conductivity test type, and any other information associated with the hydraulic conductivity data is included where possible. After filtering the data for reliability and outliers, 393 data points from 15 sites are identified as representative hydraulic conductivity values of glacial till aquitards in Saskatchewan, Canada. https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
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; Elshamy, Mohamed; Gharari, Shervan; Razavi, Saman — 2024-03-27 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/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
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; Elshamy, Mohamed; Gharari, Shervan; Razavi, Saman — 2024-03-27 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/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
High-Resolution Meteorological Forcing Data for Hydrological Modelling and Climate Change Impact Analysis in Mackenzie River Basin
Federated Research Data Repository / dépôt fédéré de données de recherche
Asong, Zilefac Elvis; Wheater, Howard; Pomeroy, John; Pietroniro, Alain; Elshamy, Mohamed; Princz, Daniel; Cannon, Alex — 2024-03-27 This dataset provides an improved set of forcing data for large scale hydrological models for climate change impacts assessment in Mackenzie River Basin (MRB). The best available gridded data in the MRB is from the high resolution forecasts of the Global Environmental Multiscale (GEM) atmospheric model and outputs of the Canadian Precipitation Analysis (CaPA), but these datasets have a short historical record. The EU WATCH ERA-Interim reanalysis (WFDEI) has a longer historical record, but has often been found to be biased relative to observations over Canada. The strengths of both datasets (GEM-CaPA and WFDEI) were blended to produce a less-biased long record product (WFDEI-GEM-CaPA http://doi.org/10.20383/101.0111) for hydrological modelling and climate change impacts assessment over the MRB. This product is then used to bias-correct climate projections from the Canadian Centre for Climate Modelling and Analysis Canadian Regional Climate Model (CanRCM4) between 1951–2100 under Representative Concentration Pathway— RCP8.5, and an analysis of the datasets shows the biases in the original WFDEI product have been removed and the climate change signals in CanRCM4 are preserved. The resulting bias-corrected data (CanRCM4-WFDEI-GEM-CaPA 3h*0.125ᵒ resolution) are 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/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
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. — 2024-03-27 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/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
Evaporation modelling gridded data and meteorological station data for a case study at a rolling prairie landscape at St. Denis National Wildlife Area, Saskatchewan, Canada
Federated Research Data Repository / dépôt fédéré de données de recherche
Armstrong, Robert; Pomeroy, John; Martz, Lawrence — 2024-03-27 This data set contains gridded outputs and surface data collected for a case study conducted on August 5, 2007 at St. Denis National Wildlife Area in central Saskatchewan, Canada. The data is provided in reference to the paper published in Hydrol. Earth Syst. Sci., 23, 4891–4907, 2019, ‘Spatial variability of mean daily estimates of actual evaporation from remotely sensed imagery and surface reference data’ at https://doi.org/10.5194/hess-23-4891-2019 https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
Data used for the analysis of dominant controls on evapotranspiration from the BERMS Old Jack Pine site, Saskatchewan
Federated Research Data Repository / dépôt fédéré de données de recherche
Nazarbakhsh, Mahtab; Ireson, Andrew; Barr, Alan G. — 2024-03-27 Land surface schemes can be applied to simulate evapotranspiration. This dataset contains the driving meteorological data, and various diagnostic data, from one of the Boreal Ecosystem Research and Monitoring Sites in central Saskatchewan, known as the Old Jack Pine site. In Nazarbakhsh et al. (2019, Hydrological Processes, https://doi.org/10.1002/hyp.13674) we used these data to drive two Canadian land surface schemes (CLASS and CLASS–CTEM). We used half–hourly values of shortwave radiation, longwave radiation, precipitation, air temperature, specific humidity, wind speed, and atmospheric pressure to drive the models. Flux tower estimates of evapotranspiration, with energy balance closure applied, were used to assess the performance of the models on daily and monthly timescales for years 2000 to 2010. We also used soil moisture (measured with Campbell Scientific CS615 probes, which measure liquid water content only) and soil temperature observations for years 2000 to 2010 to assess the models’ performance during the snowmelt and soil–thaw periods in the spring. https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
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
DeBofsky, Abigail; Xie, Yuwei; Grimard, Chelsea; Brinkmann, Markus; Hecker, Markus; Giesy, John — 2024-03-27 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/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
Canadian Prairie Watershed Classification
Federated Research Data Repository / dépôt fédéré de données de recherche
Wolfe, Jared; Whitfield, Colin J.; Shook, Kevin R.; Spence, Chris — 2024-03-27 Shapefile detailing classified prairie watersheds (n = 4175) according to physiographic characteristics. These characteristics were assembled from a variety of sources, including remote sensed data and government databases. Variables included climatic (annual precipitation, potential evapotranspiration), physical (slope, elevation), surficial geology, wetland (density, size distribution), and land cover/use data. Watersheds were classified using a hierarchical clustering on principal components analysis. As a result, seven distinct classes of watersheds were identified. The dataset defines two classifications schemes: (1) Integrated Watershed Classification, and (2) Land Cover Watershed Classification. The schemes differ as the latter was performed without climatic variables. As such, the land cover approach is suited for applications where local climate is forced using other data sources (e.g., hydrological modelling). The integrated classification is suited for general applications. The associated manuscript, which includes methods and data sources, can be found here: https://doi.org/10.5194/hess-23-3945-2019 https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
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
Ankley, Phillip; Xie, Yuwei; Havens, Sonya; Peters, Lisa; Timlick, Lauren; Rodriguez-Gil, Jose Luis; Giesy, John; Palace, Vince — 2024-03-27 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/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
Response of finescale dace (Phoxinus neogaeus) gut microbiome to in situ experimental selenium exposure
Federated Research Data Repository / dépôt fédéré de données de recherche
Ankley, Phillip; Graves, Stephanie; Xie, Yuwei; DeBofsky, Abigail; Weber, Alana; Brinkmann, Markus; Palace, Vince; Hecker, Markus; Janz, David; Giesy, John — 2024-03-27 Selenium is an environmental contaminant of global concern that can cause adverse effects in fish at elevated levels. Fish gut microbiome play essential roles in gastrointestinal function and host health and can be perturbed by environmental contaminants, including metals and metalloids. Here, an in-situ selenium (Se) exposure of female finescale dace (Phoxinus neogaeus) using mesocosms at the International Institute for Sustainable Development - Experimental Lakes Area (IISD-ELA) was conducted to determine the impacts of Se accumulation on the gut microbiome and morphometric endpoints. 16S rDNA metabarcoding was employed to describe the gut microbiome. This dataset includes the demultiplexed sequencing output, the feature table with rarefied counts, the taxonomic annotations of sequences, and the sample metadata. https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
EM-Earth: The Ensemble Meteorological Dataset for Planet Earth
Federated Research Data Repository / dépôt fédéré de données de recherche
Tang, Guoqiang; Clark, Martyn; Papalexiou, Simon Michael — 2024-03-27 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/

Instructions pour la recherche cartographique

1.Activez le filtre cartographique en cliquant sur le bouton « Limiter à la zone sur la carte ».
2.Déplacez la carte pour afficher la zone qui vous intéresse. Maintenez la touche Maj enfoncée et cliquez pour encadrer une zone spécifique à agrandir sur la carte. Les résultats de la recherche changeront à mesure que vous déplacerez la carte.
3.Pour voir les détails d’un emplacement, vous pouvez cliquer soit sur un élément dans les résultats de recherche, soit sur l’épingle d’un emplacement sur la carte et sur le lien associé au titre.
Remarque : Les groupes servent à donner un aperçu visuel de l’emplacement des données. Puisqu’un maximum de 50 emplacements peut s’afficher sur la carte, il est possible que vous n’obteniez pas un portrait exact du nombre total de résultats de recherche.

(source : Global Water Futures (FRDR))

Limiter par :

Effacer tout

au