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3,249 results for “national parks”
Dataset and images illustrating the 2022 gorgonian mass mortality event in the Calanques National Park
<p><strong>gorgonian_population_2012.JPG</strong>: A healthy gorgonian population in the Calanques National Park in 2012</p> <p><strong>gorgonian_population_2022.JPG:</strong> The same gorgonian population after the 2022 mass mortality event. The colonies show denuded axis</p> <p><strong>Marseille_Monitoring_Mortality_2022.xlsx:</strong> Raw data acquired during the survey of the health of red gorgonian and red coral populations in the Calanques National Park during late summer and autumn 2022</p>
Data from: Different effects of fire age and fire recurrence on grass and woody plant chemistry in Kafue National Park, Zambia
<p>In savannas, fire and herbivores are important drivers of natural ecosystem processes. Fire is also used intensively for management purposes. However, reported fire effects differ between studies. Reasons for these differences are still poorly understood. Here, we investigated the effects of fire on leaf chemistry of grasses and woody plants in the savanna of the Busanga Flood Plain, Zambia, in relation to the time elapsed between plant sampling and the last fire (fire age) and the frequency of fires during the last 16 years (fire recurrence). We analyzed leaves for their nitrogen, carbon and fiber concentrations, and estimated their metabolizable energy content, reflecting feed quality for browsers and grazers. Grasses and woody plants differed in all chemical components and showed different responses to fire. Grass quality was higher at sites burnt in the year of sample collection than at sites burnt only in previous years, but did not change under different fire recurrences. Leaves of woody plants did not differ in relation to fire age but their quality increased with increasing fire recurrence. In woody plants, the carbon content responded to the interaction between fire age and fire recurrence, indicating changes in carbon allocation in response to fire. Thus, burning increased feed quality for grazers and browsers but on different temporal scales. The scale effects may contribute to the differences in resource allocation described by different studies. They merit more attention in management decisions as well as in future studies on fire effects in savanna systems.</p>
Great Basin National Park, NV air temperature and relative humidity
<p><span class="TextRun SCXW69589011 BCX0"><span class="NormalTextRun SCXW69589011 BCX0">Hourly air temperature and relative humidity data has been collected </span><span class="NormalTextRun SCXW69589011 BCX0">from a network of</span><span class="NormalTextRun SCXW69589011 BCX0"> 29 </span><span class="NormalTextRun SCXW69589011 BCX0">data-logging sensors </span><span class="NormalTextRun SCXW69589011 BCX0">installed within</span><span class="NormalTextRun SCXW69589011 BCX0"> radiation shields </span><span class="NormalTextRun SCXW69589011 BCX0">~</span><span class="NormalTextRun SCXW69589011 BCX0">1.5 m above ground level</span> <span class="NormalTextRun SCXW69589011 BCX0">at</span><span class="NormalTextRun SCXW69589011 BCX0"> discrete </span><span class="NormalTextRun SCXW69589011 BCX0">sites </span><span class="NormalTextRun SCXW69589011 BCX0">within the Great Basin National Park</span><span class="NormalTextRun SCXW69589011 BCX0"> (GBNP)</span><span class="NormalTextRun SCXW69589011 BCX0">, NV, USA</span><span class="NormalTextRun SCXW69589011 BCX0"> from August 2006 to August 20</span><span class="NormalTextRun SCXW69589011 BCX0">2</span><span class="NormalTextRun SCXW69589011 BCX0">3.</span> <span class="NormalTextRun SCXW69589011 BCX0">The</span><span class="NormalTextRun SCXW69589011 BCX0"> sensors are</span><span class="NormalTextRun SCXW69589011 BCX0"> "embedded</span><span class="NormalTextRun SCXW69589011 BCX0">" –</span><span class="NormalTextRun SCXW69589011 BCX0"> suspended in trees or atop wooden stakes – </span><span class="NormalTextRun SCXW69589011 BCX0">within </span><span class="NormalTextRun SCXW69589011 BCX0">diverse</span><span class="NormalTextRun SCXW69589011 BCX0"> ecosystem</span><span class="NormalTextRun SCXW69589011 BCX0"> types</span><span class="NormalTextRun SCXW69589011 BCX0"> spanning over </span><span class="NormalTextRun AdvancedProofingIssueV2Themed SCXW69589011 BCX0">2,000</span> <span class="NormalTextRun AdvancedProofingIssueV2Themed SCXW69589011 BCX0">m</span><span class="NormalTextRun SCXW69589011 BCX0"> of </span><span class="NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW69589011 BCX0">elevation</span><span class="NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW69589011 BCX0">,</span><span class="NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW69589011 BCX0"> and</span> <span class="NormalTextRun SCXW69589011 BCX0">are </span><span class="NormalTextRun SCXW69589011 BCX0">m</span><span class="NormalTextRun SCXW69589011 BCX0">aintained</span><span class="NormalTextRun SCXW69589011 BCX0">/</span><span class="NormalTextRun SCXW69589011 BCX0">downloaded during</span> <span class="NormalTextRun SCXW69589011 BCX0">annual visitations by </span><span class="NormalTextRun SCXW69589011 BCX0">collaborating </span><span class="NormalTextRun SCXW69589011 BCX0">teams of </span><span class="NormalTextRun SCXW69589011 BCX0">students and staff from </span><span class="NormalTextRun SCXW69589011 BCX0">the Ohio State University</span><span class="NormalTextRun SCXW69589011 BCX0">,</span> <span class="NormalTextRun SCXW69589011 BCX0">University of Georgia, and Sinclair </span><span class="NormalTextRun SCXW69589011 BCX0">Community College, </span><span class="NormalTextRun SCXW69589011 BCX0">a</span><span class="NormalTextRun SCXW69589011 BCX0">ssisted</span> <span class="NormalTextRun SCXW69589011 BCX0">by GBNP</span><span class="NormalTextRun SCXW69589011 BCX0"> staff</span><span class="NormalTextRun SCXW69589011 BCX0">.</span><span class="NormalTextRun SCXW69589011 BCX0"> </span> <span class="NormalTextRun SCXW69589011 BCX0">T</span><span class="NormalTextRun SCXW69589011 BCX0">his dataset can be </span><span class="NormalTextRun SCXW69589011 BCX0">u</span><span class="NormalTextRun SCXW69589011 BCX0">tilized</span> <span class="NormalTextRun SCXW69589011 BCX0">to </span><span class="NormalTextRun SCXW69589011 BCX0">assess the</span> <span class="NormalTextRun SCXW69589011 BCX0">microclimates</span><span class="NormalTextRun SCXW69589011 BCX0"> and weather patterns</span> <span class="NormalTextRun SCXW69589011 BCX0">within the </span><span class="NormalTextRun SCXW69589011 BCX0">GBNP</span><span class="NormalTextRun SCXW69589011 BCX0">.</span> <span class="NormalTextRun SCXW69589011 BCX0">Th</span><span class="NormalTextRun SCXW69589011 BCX0">e</span><span class="NormalTextRun SCXW69589011 BCX0"> dataset </span><span class="NormalTextRun SCXW69589011 BCX0">comprises</span><span class="NormalTextRun SCXW69589011 BCX0"> daily mean, maximum, and minimum </span><span class="NormalTextRun SCXW69589011 BCX0">temperature</span><span class="NormalTextRun SCXW69589011 BCX0"> and relative humidity </span><span class="NormalTextRun SCXW69589011 BCX0">collect</span><span class="NormalTextRun SCXW69589011 BCX0">ed</span><span class="NormalTextRun SCXW69589011 BCX0"> between Aug 2006 – Aug 2023</span><span class="NormalTextRun SCXW69589011 BCX0">.</span><span class="NormalTextRun SCXW69589011 BCX0"> Hourly, raw data </span><span class="NormalTextRun CommentStart ContextualSpellingAndGrammarErrorV2Themed SCXW69589011 BCX0">are</span><span class="NormalTextRun SCXW69589011 BCX0"> available upon request.</span></span><span class="EOP SCXW69589011 BCX0"> </span></p>
Rapid Documentation Of Avifaunal Diversity of Neora Valley National park, Kalimpong, West Bengal, India
<p>The dataset “Rapid Documentation Of Avifaunal Diversity of Neora Valley National park, Kalimpong,West Bengal, India” is published by Nature Mates Nature Club</p> <p>Neora Valley National park established in 1986 is situated in Kalimpong district of West Bengal, India. It is also known as the land of Red Panda.</p> <p>It spreads over an area of 88 km2 (34 sq mi).</p> <p>It is unique and ecologically important as it includes a relatively inaccessible patch of late successional forests and with rich diversity and a wide range of environment gradients.</p> <p> </p> <p>Four habitat types are recognised viz., (i) Subtropical Mixed Broadleaf Forest, (ii) Lower Temperate Evergreen Forest, (iii) Upper Temperate Mixed Broadleaf Forest and (iv) Rhododendron Forest. The vegetation includes Dry Mixed Forest, Wet Mixed Forest, Lauraceous Forest, Bak-Oak Forest, High level oak Forest, Coniferous Forest, Himalayan Moist Temperate Forest and Rhododendron forest. It is home to several endemic orchids.</p> <p>The common species of Rhododendrons are Rhododendron arboruem, R. barbatum, R.falconeri, R. dalhousiae. A number of species with medicinal value are also found here. Some of them are Swertia chirata, Lycopodium spp., Aconitum spp., Aristolochia spp., Berberis cristata, Costus speciosa, Didymocarpus pedicellate, Rouwolfia serpentine, etc.</p> <p> </p> <p>Neora valley national has a rich faunal diversity like, Mammals reported from this area are Indian leopard, five viverrid species, Asiatic black bear, sloth bear, Asian golden cat, wild boar, leopard cat, goral, serow, barking deer, sambar deer, flying squirrel and tahr, red panda, clouded leopard, Reptilian fauna includes King cobra, common krait, green pit viper, blind snake, lizards. Insects include butterflies, moths, beetles, bees, wasps, bugs and cicadas.</p> <p>Besides this it is also bestowed with rich avian diversity.</p> <p>The dataset presented below compiles a comprehensive record of avian species observed during a field excursion to Neora Valley National Park on 2nd and 3rd March of the year 2021.</p> <p>All the birds have been categorized and recognised at either the species or genus taxonomic rank. The avian taxonomic group is varied, consisting of 59 species that are categorized into 30 families and 8 orders.</p> <p> </p> <p><strong>Resource Contacts</strong></p> <p><strong>Name: Arjan Basu Roy</strong></p> <p>Position: Secretary</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: basuroyarjan@gmail.com</p> <p>Orcid :<a href="https://orcid.org/0000-0001-9872-3562"> https://orcid.org/0000-0001-9872-3562</a></p> <p>Home page:<a href="http://www.naturematesindia.org/"> http://www.naturematesindia.org/</a></p> <p><strong>Name: Lina Chatterjee</strong></p> <p>Position: Research Affiliate</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: lina.linachatterjee@gmail.com</p> <p>Orcid :<a href="https://orcid.org/0000-0002-5626-5046"> https://orcid.org/0000-0002-5626-5046</a></p> <p>Home page:<a href="http://www.naturematesindia.org/"> http://www.naturematesindia.org/</a></p> <p><strong>Name: Tarak Samanta</strong></p> <p>Position: Research Affiliate</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: taraksamanta995@gmail.com</p> <p>Orcid :<a href="https://orcid.org/0000-0001-6809-0549"> https://orcid.org/0000-0001-6809-0549</a></p> <p>Home page:<a href="http://www.naturematesindia.org/"> http://www.naturematesindia.org/</a></p> <p><strong>Name: Rishin Basu Roy</strong></p> <p>Position: Researcher</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: <a href="mailto:wildrishin@gmail.com">wildrishin@gmail.com</a></p> <p>Orcid : <a href="https://orcid.org/0000-0002-9638-818X">https://orcid.org/0000-0002-9638-818X</a></p> <p>Home page: <a href="http://www.naturematesindia.org/">http://www.naturematesindia.org/</a></p> <p><strong>Name: Nivedita Sengupta</strong></p> <p>Position: Intern</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: niveditasngpta.ns@gmail.com</p> <p>Orcid :<a href="https://orcid.org/0000-0003-1085-7385"> https://orcid.org/0000-0003-1085-7385</a></p> <p>Home page:<a href="http://www.naturematesindia.org/"> http://www.naturematesindia.org/</a></p> <p><strong>Name: Vijay Barve</strong></p> <p>Position: Research Advisor</p> <p>Organization: Nature Mates-Nature Club</p> <p>Address: 6/7 Bijoygarh Kolkata-700032</p> <p>Email: vijay.barve@gmail.com</p> <p>Orcid :<a href="https://orcid.org/0000-0002-4852-2567"> https://orcid.org/0000-0002-4852-2567</a></p> <p>Home page:<a href="http://www.naturematesindia.org/"> http://www.naturematesindia.org/</a></p> <p> </p>
Network embedding for understanding the National Park System through the lenses of news media, scientific communication and biogeography
<p>The United States national parks encompass a variety of biophysical and historical resources important for national cultural heritage. Yet how these resources are socially constructed often depends upon the beholder. Parks tend to be conceptualized according to their (fixed) geographic context, so our understanding of this system of systems is dominated by this geographic lens. To expose the systemic structure that exists beyond their geographic embedding, we analyze three representations of the national park system using park-park similarity networks according to their co-occurrence in: (a) ~423,000 news media articles; (b) ~11,000 research publications; and (c) ~60,000 species inhabiting parks. We quantify structural variation between network representations by leveraging similarity measures at different scales: park-level (park-park correlations) and system-level (network communities' consistency). Because parks are governed and experienced at multiple scales, cross-network comparison informs how management should account for the varying objectives and constraints that dominate at each scale. Our results identify an interesting paradox: whereas park-level correlations depend strongly on the representative lens, the network communities are remarkably robust and consistent with the underlying geographic embedding. Our data-driven methodology is generalizable to other geographically embedded socio-environmental systems and supports the holistic analysis of systems-level structure that may elude other approaches.</p>
Prioritization – ZONATION of Šumava National Park
<p>The final raster layer of prioritization created by using ZONATION software. It is a result of our analyses: we made habitat suitability models for fifty species and used a habitat mapping layer – a detailed description of natural habitats with its older and updated version of the layer.</p> <p>These biodiversity features were inputs for ZONATION. The algorithm starts from the whole landscape and iteratively removes pixels of the raster of the lowest conservation value. We used ABF (additive benefit functions) algorithm, which emphasizes locations with many occurrences of different species and richness of the inputs.</p> <p>The final file divides Šumava NP (our study area) into one hundred same pieces according to its conservation priority.</p>
Virgin Islands National Park Petroglyphs
Island of St. John. Enhancement derived from model: http://www.rupestrian.com/StJohn_2.jpg Source: Objaverse 1.0 / Sketchfab
Data from: Sensitivity of simulated ammonia fluxes in Rocky Mountain National Park to measurement time resolution and meteorological inputs
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Data from: Trails-as-transects: phenology monitoring across heterogeneous microclimates in Acadia National Park, Maine
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Human wildlife conflict in Shuklaphanta National Park
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Soil profile pits, carbon and vegetation data of an old Anogeissus grove in Mole National Park, Ghana
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Narrow dietary niche with high overlap between snow leopards and Himalayan wolves indicates potential for resource competition in Shey Phoksundo National Park, Nepal
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Bison population surveys in Yellowstone National Park (USA): 1970-1997
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Riparian ecosystem collapse in Rocky Mountain National Park
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Soil as a critical component of vegetation restoration on a sub-alpine mountain summit in Acadia National Park
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Grassland aboveground biomass, composition, and chemistry from multiple sites and years in Yellowstone National Park
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Population dynamics and social organization of sambar (Rusa unicolor unicolor) in Horton Plains National Park, Sri Lanka
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Herbivores override climate control of grassland production in Yellowstone National Park
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Data from: Local environment, not local adaptation, drives leaf-out phenology in common gardens along an elevational gradient in Acadia National Park, Maine
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Microhabitat selection of the big-headed turtle Platysternon megacephalum in the Hainan Tropical Rainforest National Park, China
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ScienceDex guides
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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.