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Fig. 8 in Amphibians and reptiles of Parsa National Park, Nepal
Fig. 8. Uperodon globulosus. Photograph by Santosh Bhattarai.
Fig. 4 in Amphibians and reptiles of Parsa National Park, Nepal
Fig. 4. Euphlyctis cyanophlyctis. Photograph by Santosh Bhattarai.
Fig. 19 in Amphibians and reptiles of Parsa National Park, Nepal
Fig. 19. Varanus bengalensis. Photograph by Kapil Pokharel/ NTNC-BCC.
Fig. 2 in Amphibians and reptiles of Parsa National Park, Nepal
Fig. 2. Duttaphrynus melanostictus. Photograph by Kapil Pokharel/NTNC-BCC.
Fig. 3 in Amphibians and reptiles of Parsa National Park, Nepal
Fig. 3. Duttaphrynus stomaticus. Photograph by Santosh Bhattarai.
Fig. 13 in Amphibians and reptiles of Parsa National Park, Nepal
Fig. 13. Nesting female of Sitana fusca. Photograph by Santosh Bhattarai.
Fig. 10 in Amphibians and reptiles of Parsa National Park, Nepal
Fig. 10. Polypedates maculatus. Photograph by Santosh Bhattarai.
Fig. 12 in Amphibians and reptiles of Parsa National Park, Nepal
Fig. 12. Calotes versicolor. Photograph by Santosh Bhattarai.
Fig. 7 in Amphibians and reptiles of Parsa National Park, Nepal
Fig. 7. Microhyla cf. nilphamariensis. Photograph by Santosh Bhattarai.
Fig. 9 in Amphibians and reptiles of Parsa National Park, Nepal
Fig. 9. Uperodon taprobanicus. Photograph by Santosh Bhattarai.
Fig. 5 in Amphibians and reptiles of Parsa National Park, Nepal
Fig. 5. Hoplobatrachus tigerinus. Photograph by Santosh Bhattarai.
Fig. 14 in Amphibians and reptiles of Parsa National Park, Nepal
Fig. 14. Eutropis carinata. Photograph by Kapil Pokharel/ NTNC-BCC.
Fig. 6 in Amphibians and reptiles of Parsa National Park, Nepal
Fig. 6. Sphaerotheca breviceps. Photograph by Santosh Bhattarai.
Fig. 15 in Amphibians and reptiles of Parsa National Park, Nepal
Fig. 15. Eutropis dissimillis. Photograph by Kapil Pokharel/ NTNC-BCC.
Constructing visualization tools and training resources to assess climate impacts on the channel islands national marine sanctuary NetCDF files
<p>The Channel Islands Marine Sanctuary (CINMS) comprises 1,470 square miles surrounding the Northern Channel Islands: Anacapa, Santa Cruz, Santa Rosa, San Miguel, and Santa Barbara, protecting various species and habitats. However, these sensitive habitats are highly susceptible to climate-driven 'shock' events which are associated with extreme values of temperature, pH, or ocean nutrient levels. A particularly devastating example was seen in 2014-16, when extreme temperatures and changes in nutrient conditions off the California coast led to large-scale die-offs of marine organisms. Global climate models are the best tool available to predict how these shocks may respond to climate change. To better understand the drivers and statistics of climate-driven ecosystem shocks, a 'large ensemble' of simulations run with multiple climate models will be used. The objective of this project is to develop a Python-based web application to visualize ecologically significant climate variables near the CINMS. The web application will be used by researchers from the University of California, Santa Barbara (UCSB) to analyze climate model output, and by CINMS staff to develop new indicators of shocks to marine ecosystems.</p>
The Global and National Energy Systems Techno-Economic (GNESTE) Database: Cost and performance data for electricity generation and storage technologies
<p>Here, we present a database which collates historical, current, and future cost and performance data and assumptions for the six most prominent electricity generation technologies; coal, gas, hydroelectric, nuclear, solar photovoltaic (PV) and wind power, which together accounted for over 92% of installed generation capacity in 2022. In addition, we provide the same data for utility-scale battery energy storage systems (BESS), regarded as critical to the integration of variable renewables such as wind and solar PV.</p> <p>The data are global in scope but with regional and national specificity, covers the years 2015 through to 2050, and span 5510 datapoints from 56 sources. The database enables modellers to select and justify model input data and provides a benchmark for comparing assumptions and projections to other sources across the literature to validate model inputs and outputs. It is designed to be easily updated with new sources of data, ensuring its utility, comprehensiveness, and broad applicability in future.</p>
Fig 2 in Opportunities and its challenges in fish production: The case of Lake Koka, East Showa Zone, Oromia National Regional State, Ethiopia
Fig 2: Expansion of water hyacinth in Lume district at Koka Lake, February, 2020
Fig 1 in Opportunities and its challenges in fish production: The case of Lake Koka, East Showa Zone, Oromia National Regional State, Ethiopia
Fig 1: Targeted fish species at Lake Koka
Data from: Harvest of transboundary gray wolves from Yellowstone National Park is largely additive
<p>Large carnivores are globally threatened due to habitat fragmentation and loss, prey depletion, and human exploitation. Human exploitation includes both legal and illegal hunting and trapping. Protected areas can create refugia from hunting and trapping, however, hunting can still threaten wide-ranging large carnivores when they leave these areas. Large carnivore reintroductions to protected areas are often motivated to restore ecological processes, including wolf reintroduction to Yellowstone National Park (YNP). Determining if harvest is compensatory or additive is essential for informed conservation strategies, as it influences the overall impact on wolf populations and their ecosystems. If the harvest was compensatory, then increasing harvest pressure outside YNP should not decrease overall survival for transboundary wolves. Alternatively, if increasing harvest was additive, then increasing harvest pressure outside YNP should decrease overall survival for transboundary wolves. We tested the effects of variable harvest pressure following delisting on the survival of YNP gray wolves (<em>Canis lupus</em>) from 1995 to 2022. We defined three harvest levels: no harvest, harvest with limited quotas, and unlimited harvest. We used Cox-proportional hazards models and cumulative incidence functions to estimate survival rates, factors affecting survival, and cause-specific mortality between these three harvest periods to test predictions of the additive mortality hypothesis. Most wolves that primarily lived in YNP were harvested adjacent to the park border. Cox-proportional hazards models revealed that mortality was highest during years of unlimited harvest during winter outside YNP. Cause-specific mortality analyses showed that natural mortality from other wolves and harvest were the two leading causes of death, but that harvest mortality had additive effects on wolf mortality. Wolf survival decreased with increased harvest mortality, while natural mortality remained relatively unchanged. High rates of additive harvest mortality of wolves could negatively impact wolf survival in YNP. Harvest mortality of transboundary wolves is additive possibly due to source-sink dynamics of uneven spatial susceptibility of wolves to harvest mortality across protected area borders, as well as effects of harvest on complex social dynamics of wolves in YNP. Transboundary management of large carnivores is challenging, yet cooperation between agencies is vital for wolf management in and around Yellowstone National Park. Our results support the use of small quota zones surrounding protected areas, that minimize transboundary mortality impacts on large carnivores living primarily inside protected areas.</p>
Fig 3 in Opportunities and its challenges in fish production: The case of Lake Koka, East Showa Zone, Oromia National Regional State, Ethiopia
Fig 3: Waste disposal canal to Lake Koka from Ethiopian tannery, February, 15/2020
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.