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355 results for “Western Canada”
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.
Accelerated change in the glaciated environments of western Canada revealed through trend analysis of optical satellite imagery (Polygons)
<p>Automatically generated dataset of glacier outlines from the journal article: "Accelerated change in the glaciated environments of western Canada revealed through trend analysis of optical satellite imagery"</p> <p>Research paper: https://www.sciencedirect.com/science/article/pii/S0034425721005824</p> <p>More information can be found here: https://github.com/bevingtona/glacier_change_western_canada</p>
Fig 1 in A new Cambrian catillicephalid trilobite from the Shallow Bay Formation of western Newfoundland, Canada
Fig 1. Cranidia of catillicephalid trilobite Catillicephala cifellii sp. nov. from the Downes Point Member, Shallow Bay Formation, Guzhangian, Miaolingian, Cambrian; boulder BPS 467, Broom Point South, western Newfoundland, Canada. A. GSC 142512, holotype; dorsal (A1), lateral (A2), and anterior (A3) views. B. GSC 142513, paratype; dorsal view. C. GSC 142514, paratype; dorsal (C1), lateral (C2), and anterior (C3) views. D. GSC 142515, paratype; dorsal view. Scale bars 1 mm.
Fig. 3 in A new Cambrian catillicephalid trilobite from the Shallow Bay Formation of western Newfoundland, Canada
Fig. 3. Pygidia of catillicephalid trilobite Catillicephala cifellii sp. nov. from the Downes Point Member, Shallow Bay Formation, Guzhangian, Miaolingian, → Cambrian; boulder BPS 467, Broom Point South, western Newfoundland, Canada. A. GSC 142520, paratype; dorsal (A1), lateral (A2), and posterior (A3) views. B. GSC 142521, paratype; posterior (B1), dorsal (B2), and lateral (B3) views. C. GSC 142522, paratype; posterior (C1) and dorsal (C2) views. D. GSC 142523, paratype; posterior (D1) and dorsal (D2) views. E. GSC 142524, paratype; dorsal view. Scale bars 1 mm.
Monthly Hydropower Generation Dataset for Western Canada
<p>The presented dataset contains the following simulation-based monthly hydropower generation data for 110 facilities in British Columbia and Alberta, to support Western-US interconnect grid system studies:<br>1) Monthly hydropower generation estimates<br>2) Monthly hydropower flexibility metrics (minimum and maximum hourly generation and daily fluctuations)</p> <p>The hydropower generation estimates are provided with reference to the facility list that contains the corresponding metadata for each facility.</p> <p>For more details, please refer to Son, Y., Bracken, C., Broman, D. et al. Monthly hydropower generation data for Western Canada to support Western-US interconnect power system studies. <em>Sci Data</em> <strong>12</strong>, 874 (2025). <a href="https://doi.org/10.1038/s41597-025-05098-2" target="_blank" rel="noopener">https://doi.org/10.1038/s41597-025-05098-2</a>.</p> <p>Corresponding author(s): Youngjun Son (youngjun.son@pnnl.gov) and Nathalie Voisin (nathalie.voisin@pnnl.gov)</p> <p>For data reproduction, please see the GitHub repository at <a title="tgw-hydro-canada" href="https://github.com/GODEEEP/tgw-hydro-canada" target="_blank" rel="noopener">https://github.com/GODEEEP/tgw-hydro-canada</a>.</p> <h1>Hydropower Facility List</h1> <p>The file, <code><strong>CAN_hydropower_facilities&scaling.csv</strong></code>, provides essential information on 146 hydropower facilities in British Columbia and Alberta, derived from <a title="Renewable Energy Power Plants, 1 MW or more, by Energy Source" href="https://www.eia.gov/trilateral/#!/maps" target="_blank" rel="noopener">Renewable Energy Power Plants, 1 MW or more, by Energy Source</a> by North American Cooperation on Energy Information (NACEI). Additionally, the facility information has been updated with corresponding <a title="National Hydrographic Network (NHN) Work Units" href="https://open.canada.ca/data/en/dataset/a4b190fe-e090-4e6d-881e-b87956c07977">National Hydrographic Network (NHN) Work Units</a>, global reservoir and lake database (<a title="GRanD: Global Reservoirs and Dams Database" href="https://www.globaldamwatch.org/grand" target="_blank" rel="noopener">GRanD: Global Reservoirs and Dams Database</a> and <a title="HydroLAKES" href="https://www.hydrosheds.org/products/hydrolakes" target="_blank" rel="noopener">HydroLAKES</a>), diversion intake flow rates based on water license information (hydropower), and so on. Below are the descriptions for each column in the facility metadata:</p> <ul> <li><em>fid</em>: Facility id according to NACEI data. New four-digit id starting with '9' are assigned for facilities with no fid in NACEI data</li> <li><em>Facility</em>: Name of the facility</li> <li><em>X</em>: Longitude of the facility's powerhouse</li> <li><em>Y</em>: Latitude of the facility's powerhouse</li> <li><em>Province</em>: Province where the facility is located</li> <li><em>Hydro_MW</em>: Nameplate capacity of the facility</li> <li><em>NHN_Work_U</em>: Associated NHN Work Units</li> <li><em>GRanD_ID</em>: Associated reservoir id from the GRanD dataset</li> <li><em>HydroLAKES_ID</em>: Associated lake id from the HydroLAKES dataset</li> <li><em>GINDEX</em>: Grid id from the mosartwmpy Canada model</li> <li><em>GINDEX_CONUS</em>: Grid id from the mosartwmpy CONUS model, used for facilities in the Columbia River Basin</li> <li><em>Basin_Note</em>: Indicator for facilities located in the Columbia River Basin or outside of the meteorological forcing domain of the perturbed thermodynamics simulations</li> <li><em>WECC_ADS_2032</em>: Indicator for facilities without the WECC ADS 2032 reference hydropower generation data</li> <li><em>Intake_Flow_Rate</em>: Diversion intake flow rates based on hydropower water license information</li> <li><em>Type</em>: Type of facility</li> <li><em>Water_License</em>: Link to the source of water license information</li> <li><em>Scaling</em>: Annual total scaling factor (total hydropower generation / total streamflow volume for 2008)</li> <li><em>Scaling_IntakeCap</em>: Annual total scaling factor, constrained by intake flow rates from hydropower water license (total hydropower generation / total streamflow volume not exceeding intake flow rate constraint for 2008)</li> </ul> <p>Among the 146 hydropower facilities listed, only 110 facilities, which are within the applied meteorological forcings domain and have reference hydropower generation data, are considered for monthly hydropower generation estimates.</p> <h1>Monthly Hydropower Generation Estimates and Flexibility Metrics</h1> <p>Each file contains a monthly timeseries dataset (rows: monthly timestamps) from 1981 to 2019 for 110 facilities (columns: <em>Facility</em> listed in <strong><code>CAN_hydropower_facilities&scaling.csv</code>).</strong></p> <ol> <li><code><strong>CAN_hydropower_monthly_generation_MWh.csv</strong></code>: monthly total hydropower generation in MWh</li> <li><code><strong>CAN_hydropower_monthly_p_min_MW.csv</strong></code>: monthly flexibility metric of minimum generation capacity in MW</li> <li><code><strong>CAN_hydropower_monthly_p_max_MW.csv</strong></code>: monthly flexibility metric of maximum generation capacity in MW</li> <li><code><strong>CAN_hydropower_monthly_p_ador_MW.csv</strong></code>: monthly flexibility metric of the daily operation range in MW</li> </ol> <h1>Update Log</h1> <p><strong>- V</strong><strong>ersion 1.1.0</strong>: "Scaling" and "Scaling_IntakeCap" colums have been added to <strong>Hydropower Facility List</strong>, and the file for hydropower facilities has been renamed from <code><strong>CAN_hydropower_facilities.csv</strong></code> to <code><strong>CAN_hydropower_facilities&scaling.csv</strong></code>.</p> <h1>Funding Acknowledgements</h1> <p>This work was supported under the Laboratory Directed Research and Development (LDRD) Program (Project # 79583) at the Pacific Northwest National Laboratory (PNNL).</p> <p>The PNNL is a multi-program national laboratory operated by Battelle Memorial Institute for the U.S. Department of Energy (DOE) under Contract No. DE-AC05-76RL01830.</p> <h1>Disclaimer</h1> <p>The presented dataset aims to support robust, long-term power system planning under diverse water conditions. However, it should not be used to assess hydropower generation during extreme flood events when facilities may need to be disconnected from power grids due to dam safety and potential loss of control that could propagate into grid instability. Similarly, the dataset should not be utilized for unprecedented drought conditions where reservoir levels may fall below critical power pool levels. Furthermore, evolving water policies, including the Columbia River Treaty, can alter seasonal and monthly hydrological patterns. It is important to note that our hydropower generation dataset, which is derived based on Year 2008, does not account for any historical and future changes in environmental regulations, water management, or water policies.</p> <p>The dataset was prepared as an account of work sponsored by an agency of the U.S. Government. Neither the U.S. Government nor the U.S. Department of Energy, nor the Contractor, nor any or their employees, nor any jurisdiction or organization that has cooperated in the development of these materials, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness or any information, apparatus, product, software, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the U.S. Government or any agency thereof, or Battelle Memorial Institute.</p>
Plate II Albertosaurus libratus, AMNH 5458 in Tyrannosaurs from the Late Cretaceous of western Canada
Plate II Albertosaurus libratus, AMNH 5458. The femur is approximately 1025 mm long (Matthew and Brown 1923: 10). Photograph courtesy of the American Museum of Natural History, AMNH negative number 39106
Plate I Albertosaurus libratus, AMNH 5664 in Tyrannosaurs from the Late Cretaceous of western Canada
Plate I Albertosaurus libratus, AMNH 5664. The femur is 700 mm long (Matthew and Brown 1923: 10). Photograph courtesy of the American Museum of Natural History, AMNH negative number 39016.
Figure 8 in Tyrannosaurs from the Late Cretaceous of western Canada
Figure 8 Daspletosaurus torosus, reconstruction of the skeleton. The length of the femur is 1000 mm, for further explanation see text.
Figure 6 in Tyrannosaurs from the Late Cretaceous of western Canada
Figure 6 Daspletosaunts torosus, reconstruction of the skull in lateral aspect, based on NMC 8506. The foramen in the quadratojugal is taken from NMC 11315, where the element is better preserved.
Figure 5 Semidiagrammatic relationships between the exits for cranial nerves II-Vi in Tyrannosaurs from the Late Cretaceous of western Canada
Figure 5 Semidiagrammatic relationships between the exits for cranial nerves II-Vi on the anterior surfaces of the orbitosphenoid and laterosphenoid. A. Albertosaurus libratus, after NMC 11814; B. Daspletosaunis torosus, after NMC 8506.
Figure 3 in Tyrannosaurs from the Late Cretaceous of western Canada
Figure 3 Albertosaurus libratus, restoration of a hypothetical hatchling. The length of the femur is 100 mm.
Figure 4 in Tyrannosaurs from the Late Cretaceous of western Canada
Figure 4 Albertosaurus, reconstruction of the lower half of the braincase seen in sagittal section. Abbreviations: CC carotid canal, MED medullary cavity, PIT pituitary fossa, ST sella turcica, VI hypothetical course of sixth cranial nerve. For further explanation see text.
Figure 1 in Tyrannosaurs from the Late Cretaceous of western Canada
Figure 1 Albertosaurus libratus, reconstruction of the skull in lateral aspect, based primarily on a photograph of FMNH PR308 (negative number 39 11 5, courtesy of the American Museum of Natural History), with the palate restored after AMNH 5336. The skull of FMNH PR308 measures 1050 mm in length (Matthew and Brown 1923: 10).
Figure 2 in Tyrannosaurs from the Late Cretaceous of western Canada
Figure 2 Albertosaurus libratus, median elements of the skull roof restored after USNM 12814. The area shown measures approximately 31C mm in length along the midline of the skull.
Fig. 2 in A new Cambrian catillicephalid trilobite from the Shallow Bay Formation of western Newfoundland, Canada
Fig. 2. Cranidia of catillicephalid trilobite Catillicephala cifellii sp. nov. from the Downes Point Member, Shallow Bay Formation, Guzhangian, Miaolingian, Cambrian; boulders BPS 468 (A), BPS 467 (B, D), BPS 458 (C), Broom Point South, western Newfoundland, Canada. A. GSC 142516, paratype; dorsal (A1), lateral (A2), and anterior (A3) views. B. GSC 142517, paratype; anterior (B1), lateral (B2), and dorsal (B3) views. C. GSC 142518, paratype; dorsal (C1), anterior (C2), and lateral (C3) views. D. GSC 142519, paratype; dorsal view. Scale bars 1 mm.
HLWATER V1.0 Optical (water bodies Sentinel-2 TOA reflectance retrievals for 23/08/2019) - Western Nunavik (Subarctic Canada)
<p>This dataset refers to the retrieval of TOA reflectance from the Sentinel-2 L1C 10-m bands for 23/08/2019, having as reference the <a href="https://doi.org/10.5281/zenodo.12196313">Very High Resolution water body delineation dataset</a> computed with the <a href="https://doi.org/10.5281/zenodo.10203553">HLWATER V1.0 model</a> (<a href="https://doi.org/10.1016/j.rse.2024.114047">Freitas et al., 2024</a>) for Western Nunavik (Eastern Hudson Bay), Subarctic Canada. It covers a total area of 41,832 km2 within the latitudes 54° to 58° N and the longitudes 74° to 78° W.</p> <p>The dataset is composed of 167,755 water body reflectance retrievals. Additionally, 1 km2 hexagonal grids are provided with the calculation of the limnodiversity (diversity of water optical groups/colors). The optical groups were automatically defined using K-Means to 11 clusters, according to the highest Pseudo-F Score. Outputs are provided in shapefile and geodatabase formats.</p> <p>The manuscript detailing these outputs has been submitted to GIScience and Remote Sensing.</p>
Figure 6 in Recruitment biology of cleavers (GOlium spp.) populations in western Canada
Figure 6. Emergence percentage of Canadian Galium spp. populations in fall of (A) 2013 and (B) 2014. Error bars represent SE, and similar letters indicate values do not differ statistically at P = 0.05. SPG, Saskatchewan Pulse Growers.
Figure 4 in Recruitment biology of cleavers (GOlium spp.) populations in western Canada
Figure 4. Cumulative emergence percentage of Canadian Galium spp. populations in spring of (A) 2013 and (B) 2014. Error bars represent SE, and similar letters indicate values do not differ statistically at P = 0.05. SPG, Saskatchewan Pulse Growers.
Figure 5 in Recruitment biology of cleavers (GOlium spp.) populations in western Canada
Figure 5. Emergence timing of Galium spp. populations (observed and predicted values, respectively) at Goodale in the fall of (A) 2013 and (B) 2014. Growing degree days (GDD) were determined with a base temperature of 2 C. Arrows indicate significant rainfall events (16.2 mm at 600 GDD in 2013 and 4.8 mm and 7.8 mm at 150 and 360 GDD in 2014).SPG, Saskatchewan Pulse Growers.
Figure 3 in Recruitment biology of cleavers (GOlium spp.) populations in western Canada
Figure 3. Emergence timing of Galium spp. at Goodale in the spring of 2013 (left) and 2014 (right). Growing degree days (GDD) were determined with a base temperature of 2 C. Arrows indicate significant rainfall events (8.4 and 47 mm in 2013 at 200 and 350 GDD, and 51 and 63 mm in 2014 at 200 and 400 GDD, respectively). SPG, Saskatchewan Pulse Growers.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.