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122 results for “Hawai`i”
Ecomorphological relationships and invasion history of non-native terrestrial bird species on O‘ahu, Hawai‘i suggests ecological fitting during community assembly
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Data from: Genetic analysis of an ephemeral intraspecific hybrid zone in the hypervariable tree, Metrosideros polymorpha, on Hawai'i Island
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Data from: Ecological niche modeling for a cultivated plant species: a case study on taro (Colocasia esculenta) in Hawai‘i
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Data from: Multiple colonizations, hybridization and uneven diversification in Cyrtandra (Gesneriaceae) lineages on Hawai‘i Island
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Data from: Forest restoration and parasitoid wasp communities in montane Hawai'i
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Data from: Parallel evolution of gene classes, but not genes: evidence from Hawai’ian honeycreeper populations exposed to avian malaria
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Data from: Post-harvest population reservoirs of Coffee Berry Borer, Hypothenemus hampei (Coleoptera: Curculionidae) on Hawai‘i Island
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Data from: Depth specialization in mesophotic corals (Leptoseris spp.) and associated algal symbionts in Hawai‘i
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Data from: Effects of gear restriction on the abundance of juvenile fishes along sandy beaches in Hawai'i
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Data for: Lava crickets (Caconemobius spp.) on Hawai´i Island: first colonizers or persisters in extreme habitats?
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Data from: Large-scale introduction of the Indo-Pacific damselfish Abudefduf viagiensis into Hawai‘i promotes genetic swamping of the endemic congener A. abdominalis
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Data from: Patterns of primary succession of native and introduced plants in lowland wet forests in eastern Hawai‘i
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Pre-eruption InSAR time-series at Kīlauea (Hawai`i, USA): Sentinel Ascending and Descending 2018
<p>InSAR time-series data for Kīlauea (Hawai`i, USA) derived from InSAR, between Jan 2017 and May 2018 . Data were obtained by processing Sentinel-1 ascending and descending SAR data (tracks 124 and 87, respectively). Data were processed using the JPL-developed InSAR Scientific Computing Environment (<code>ISCE</code>) open-source software package, and further time-series analysis was performed using the <code>MintPy</code> software toolbox (<a href="https://github.com/insarlab/MintPy">Miami INsar Time-series software in PYthon</a>), developed at the University of Miami. </p> <p>Three files are available in Hierarchical Data Format:</p> <ol> <li><code>geo_timeseries_tropHgt_demErr_SenAT124.h5</code>: Ascending Track timeseries file. Dates available: <code>['timeseries-20170107', 'timeseries-20170131', 'timeseries-20170212', 'timeseries-20170224', 'timeseries-20170308', 'timeseries-20170320', 'timeseries-20170401', 'timeseries-20170425', 'timeseries-20170501', 'timeseries-20170507', 'timeseries-20170519', 'timeseries-20170525', 'timeseries-20170531', 'timeseries-20170606', 'timeseries-20170612', 'timeseries-20170618', 'timeseries-20170624', 'timeseries-20170630', 'timeseries-20170706', 'timeseries-20170712', 'timeseries-20170718', 'timeseries-20170724', 'timeseries-20170730', 'timeseries-20170805', 'timeseries-20170811', 'timeseries-20170817', 'timeseries-20170823', 'timeseries-20170829', 'timeseries-20170904', 'timeseries-20170910', 'timeseries-20170916', 'timeseries-20170922', 'timeseries-20170928', 'timeseries-20171004', 'timeseries-20171010', 'timeseries-20171016', 'timeseries-20171022', 'timeseries-20171028', 'timeseries-20171103', 'timeseries-20171109', 'timeseries-20171115', 'timeseries-20171121', 'timeseries-20171127', 'timeseries-20171203', 'timeseries-20171209', 'timeseries-20171215', 'timeseries-20171221', 'timeseries-20171227', 'timeseries-20180102', 'timeseries-20180108', 'timeseries-20180114', 'timeseries-20180120', 'timeseries-20180126', 'timeseries-20180201', 'timeseries-20180207', 'timeseries-20180213', 'timeseries-20180219', 'timeseries-20180225', 'timeseries-20180303', 'timeseries-20180309', 'timeseries-20180315', 'timeseries-20180327', 'timeseries-20180408', 'timeseries-20180420', 'timeseries-20180502']</code></li> <li><code>geo_timeseries_tropHgt_demErr_SenDT87.h5</code>: Descending Track timeseries file. Dates available:<code>['timeseries-20170104', 'timeseries-20170116', 'timeseries-20170128', 'timeseries-20170209', 'timeseries-20170221', 'timeseries-20170305', 'timeseries-20170317', 'timeseries-20170329', 'timeseries-20170410', 'timeseries-20170422', 'timeseries-20170428', 'timeseries-20170504', 'timeseries-20170510', 'timeseries-20170522', 'timeseries-20170603', 'timeseries-20170615', 'timeseries-20170627', 'timeseries-20170709', 'timeseries-20170721', 'timeseries-20170814', 'timeseries-20170826', 'timeseries-20170907', 'timeseries-20170919', 'timeseries-20171001', 'timeseries-20171013', 'timeseries-20171025', 'timeseries-20171106', 'timeseries-20171118', 'timeseries-20171130', 'timeseries-20171212', 'timeseries-20171224', 'timeseries-20180105', 'timeseries-20180117', 'timeseries-20180129', 'timeseries-20180210', 'timeseries-20180222', 'timeseries-20180306', 'timeseries-20180318', 'timeseries-20180330', 'timeseries-20180411', 'timeseries-20180423', 'timeseries-20180505', 'timeseries-20180511', 'timeseries-20180517', 'timeseries-20180523', 'timeseries-20180529']</code></li> <li><code>up_20180315_20180423.h5</code>: Vertical displacement file between 20180315 and 20180423, created using <code>timeseries2velocity.py</code> (from <code>MintPy</code>).</li> </ol> <p>These data are supplemental to: Farquharson, J. I. and Amelung, F. [2020], "<em>Extreme rainfall triggered the 2018 rift eruption at Kīlauea Volcano.</em>" <a href="https://doi.org/10.1038/s41586-020-2172-5">https://doi.org/10.1038/s41586-020-2172-5</a></p>
Figure 4 from: Oppenheimer H (2020) A new species of Cyanea Gaud. (Lobelioideae, Campanulaceae) from Maui, Hawai`i. PhytoKeys 167: 1-11. https://doi.org/10.3897/phytokeys.167.55107
Figure 4 Cyanea heluensisA seedling at Olinda Rare Plant Facility. Plant is approximately 1 year old B distribution Cyanea heluensis of on Maui, Hawai`i. Photo by H. Oppenheimer.
Figure 3 from: Oppenheimer H (2020) A new species of Cyanea Gaud. (Lobelioideae, Campanulaceae) from Maui, Hawai`i. PhytoKeys 167: 1-11. https://doi.org/10.3897/phytokeys.167.55107
Figure 3 Cyanea heluensis. Leaf (left); flowers (right). Illustration by Anna Palomino. Drawn from H. Oppenheimer et al. #H91007 (BISH) and field images taken by H. Oppenheimer.
Figure 1 from: Oppenheimer H (2020) A new species of Cyanea Gaud. (Lobelioideae, Campanulaceae) from Maui, Hawai`i. PhytoKeys 167: 1-11. https://doi.org/10.3897/phytokeys.167.55107
Figure 1 Cyanea heluensisA habit B close up of flower buds prior to anthesis. Note murications on petioles and corolla. Photos by H. Oppenheimer.
Data from: Patterns and processes in complex landscapes: testing alternative biogeographic hypotheses through integrated analysis of phylogeography and community ecology in Hawai'i
The Island of Hawai'i is a dynamic assemblage of five volcanoes with wet forest habitat currently existing in four distinct natural regions that vary in area, age, and geographic isolation. In this complex landscape, alternative assumptions of the relative importance of specific habitat characteristics on evolutionary and ecological processes predict strikingly different general patterns of local diversity and regional similarity. In this study we compare alternative a priori hypotheses against observed patterns within two distinct biological systems and scales: community composition of wet forest vascular plant species and mitochondrial and nuclear genes of Drosophila sproati, a wet forest restricted endemic. All observed patterns display strong and similar regional structuring, with the greatest local diversity found in Kohala and the windward side of Mauna Loa, the least in Ka'ū and Kona, and a distinctive pattern of regional similarity that likely reflects the historical development of this habitat on the island. These observations largely corroborate a biogeographic model that integrates multiple lines of evidence, including climatic reconstruction, over those relying on single measures, such as current habitat configuration or substrate age. This method of testing alternative hypotheses across biological systems and scales is an innovative approach for understanding complex landscapes and should prove valuable in diverse biogeographic systems.
FIGURE 9 in Onycocaris maui sp. nov., a new pontoniine sponge associate (Crustacea: Decapoda: Palaemonidae) from the Hawai'ian Islands
FIGURE 9. Onycocaris maui sp. nov., ovigerous female holotype, Maui, QM W29190, phot. Cory Pittman.
FIGURE 10 in Onycocaris maui sp. nov., a new pontoniine sponge associate (Crustacea: Decapoda: Palaemonidae) from the Hawai'ian Islands
FIGURE 10. Onycocaris maui sp. nov., allotype, Maui, QM W29191, phot. Cory Pittman.
Supplementary material 1 from: Honsberger DN, Huber JT, Wright MG (2022) A new Mymaromma sp. (Mymarommatoidea, Mymarommatidae) in Hawai'i and first host record for the superfamily. Journal of Hymenoptera Research 89: 73-87. https://doi.org/10.3897/jhr.89.77931
Video 1. Mymaromma menehune sp. nov. ♀ exploring a F. microcarpa branch and grooming
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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)
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.