Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
372
datasets available to search
ShareScore release 0.9.0
Dataset results
372 results for “hawaii”
Multi-year temperature time series from cinder cones on the Mauna Kea summit plateau, Hawaii
<p>Multi-year time series from data loggers in several cinder cones on the Mauna Kea summit plateau, Hawaii. The variable measured is primarily ground temperature, but several time series for air temperature, relative humidity, and light intensity have also been obtained. </p> <p>Study sites, time period:<br>Puu Wekiu (Summit Cone Crater), 2012-2025<br>Puu Hau Kea (Goodrich Cone), 2012-2025<br>Puu Waiau, 2013-2016<br>Puu Pohaku (Douglas Cone), 2014-2016<br>Puu Makanaka, 2016</p> <p>The raw data are downloads from HOBO data loggers. The reduced data are merged time series without time gaps and corrected for known issues. A list of data loggers with time periods and sensor depths is provided in loggers_summary_mk.csv. For file formats and further information, see README.TXT. For context see references.</p>
Global Airborne Observatory: Submarine Groundwater Discharge on West Hawaii Island
<p>Mapped submarine groundwater discharge (SGD) for the west coast of Hawaii Island. A full description of the data source and methodology is available at:</p> <p>Asner, G.P., N.R. Vaughn, and J. Heckler. 2024. Operational mapping of submarine groundwater discharge into coral reefs: Application to West Hawaii Island. Oceans 5, 547-559. https://doi.org/10.3390/oceans5030031</p> <p>There are two data layers:</p> <ol> <li>Estimated point sources of SGD</li> <li>Estimated dischage areas of SGD </li> </ol> <p>SGD discharge point sources as a point layer and SGD discharge areas are provided as polygon layers, both in GeoJSON format. The point source layer includes a Field LocCertainty, describing the certainty in percent that the discharge location is correctly identified. The discharge area layer includes fields InsideC and OutsideC, which average thermal sensor temperature in Celsius inside and outside, respectively, as well as fields for the temperature difference (dTemp) and the size of the dicharge area in hectares (ha). Both layers use the WGS84 coordinate system with spatial coordinates giving positions as degrees longitiude and latitude.</p>
Multi-year temperature and humidity time series from ice caves on Mauna Loa, Hawaii
<p>Air temperature and humidity time series from data loggers in two lava tube caves on Mauna Loa, Hawaii 2011-2017.</p> <p> </p>
Global Airborne Observatory: Mapped Infrastructure on Hawaii Island
<p>There are three mapping datasets showing infrastructure on Hawaii Island (Hawaii County) in the State of Hawaii. The datasets were created using a combination of a convolutional neural network (CNN) and gradient boosted trees (GBT) run on Global Airborne Observatory laser scanning and imaging spectroscopy data.. Full methodology is available in the following reference:</p> <p>Mason, R.E.; Vaughn, N.R.; Asner, G.P. Mapping Buildings across Heterogeneous Landscapes: Machine Learning and Deep Learning Applied to Multi-Modal Remote Sensing Data. <em>Remote Sensing </em><strong>2023</strong>, <em>15</em>, x. https://doi.org/10.3390/xxxxx</p>
HawaiiCoast_GT: Curated AIS for Hawaii's coast correlated with ground truth incidents
<p>Because of the high-risk nature of emergencies and illegal activities at sea, it is critical that algorithms designed to detect anomalies from maritime traffic data be robust. However, there exist no publicly available maritime traffic datasets with real-world labelled anomalies. As a result, most anomaly detection algorithms for maritime traffic are validated without ground truth. We introduce the HawaiiCoast_GT dataset, the first ever publicly available automatic identification system dataset with a large corresponding set of true anomalous incidents. This dataset—cleaned and curated from Bureau of Ocean Energy Management (BOEM) and National Oceanic and Atmospheric Administration (NOAA) automatic identification system (AIS) data--covers Hawaii’s coastal waters for four years (2017-2020) and contains 88,749,176 AIS points for a total of 2,622 unique vessels. 208 tracks are labelled corresponding to 154 labelled real-world incidents. The codebase used to curate the original AIS data is being made openly available on GitHub.</p>
Hawaii Dry Forest Plot Data
Fourteen closed-canopy dry forest sites in the Hawaiian Islands (four on Kaua'i, two on O'ahu, one on Moloka'i, three on Lanā‘i, one on Maui, and three on Hawai‘i) were selected and surveyed in 2004–2006 to assess their diversity and structure in relationship to climate, and to identify relationships with satellite vegetation indices. Field measurements of woody plant species at all sites followed Gentry (1988). ‘Gentry transects’ consist of belt transects totaling 1000 m2 (0.1 ha). Each sample consisted of 10 belt transects (2 m · 50 m) 10 m apart in which all woody plants greater than or equal to 2.5 cm diameter at breast height (d.b.h.) rooted in the sample area were identified (Gentry, 1988). We documented the floristic composition and quantified species richness, density, basal area, and canopy height for each site. Data were collected while S.P. was a graduate student at UCLA in the Department of Geography. There are 16 csv files in this data set that include a summary table, a locations table, and a separate table for each of the 14 sites. Each ‘site’ contains one 0.1ha plot.
Engaging the Business and Tourism Industry in Visualizing Sea Level Rise Impacts to Transportation Infrastructure in Waikiki, Hawaii
<p>Transportation planners in coastal communities plan for future hazards and risks of sea-level rise (SLR), and often, they communicate risk in public meetings via PowerPoint presentations with charts as well as two-dimensional (2D) maps that visualize information using Geographic Information Systems (GIS) technologies. The project investigates the use of immersive technology to communicate SLR risk, including the development of an immersive three-dimensional (3D) model of the Waikiki neighborhood of Honolulu, Hawaii. According to the project’s original methodology, participants would have experienced the model using virtual reality (VR). However, due to the COVID-19 pandemic, the team pivoted to creating and implementing an internet-based survey instrument with embedded 2D charts and video of the animated 3D model. The flooding projections were derived from National Oceanic and Atmospheric Administration (NOAA) data. NOAA supplies the SLR Viewer, a screening-level tool that uses the best-available national projections to map areas vulnerable to current and future flood risks.</p>
FIGURE 3 in Crossota millsae (Cnidaria: Trachymedusae: Rhopalonematidae), a new species of viviparous hydromedusa from the deep sea off California and Hawaii
FIGURE 3. Crossota millsae, sp. nov. a) Two of the juvenile paratype specimens representing different stages of early development, scale bar = 2.5 mm. b) Two of the juvenile paratype specimens representing later stages of development, same scale bar as in Fig 3 a. c) Abscission zone at base of tentacles. ABS = abscission point, RC = ring canal, YIP = yellow iridescent pigment. d) Scanning electron micrograph of spermatids from testes of the male specimen shown in Fig. 1 b. Three size classes of spermatids are noted, A ~ 10 µm, B ~ 5 µm and C ~ 2 µm. The smallest spermatids have developing flagella. Scale bar = 10 µm.
FIGURE 2 in Crossota millsae (Cnidaria: Trachymedusae: Rhopalonematidae), a new species of viviparous hydromedusa from the deep sea off California and Hawaii
FIGURE 2. In situ video frame of Crossota millsae sp. nov. taken off California from the Monterey Bay Aquarium Research Institute’s ROV Tiburon. This is a female specimen with developing juveniles.
FIGURE 1 in Crossota millsae (Cnidaria: Trachymedusae: Rhopalonematidae), a new species of viviparous hydromedusa from the deep sea off California and Hawaii
FIGURE 1. Crossota millsae, sp. nov. a) Lateral view of female specimen. Scale bar = 9 mm. b) Lateral view of male paratype specimen. Note the exumbrellar furrows. Scale bar = 5 mm. c) Oral view of female shown in Fig 1 a with developing juveniles. Scale bar = 9 mm. d) Aboral view of female with developing juveniles. Scale bar = 10 mm.
Semi‐quantitative metabarcoding reveals how climate shapes arthropod community assembly along elevation gradients on Hawaii Island
<p>Spatial variation in climatic conditions along elevation gradients provides an important backdrop by which communities assemble and diversify. Lowland habitats tend to be connected through time, whereas highlands can be continuously or periodically isolated, conditions that have been hypothesized to promote high levels of species endemism. This tendency is expected to be accentuated among taxa that show niche conservatism within a given climatic envelope. While species distribution modeling approaches have allowed extensive exploration of niche conservatism among target taxa, a broad understanding of the phenomenon requires sampling of entire communities. Species-rich groups such as arthropods are ideal case studies for understanding ecological and biodiversity dynamics along elevational gradients given their important functional role in many ecosystems, but community-level studies have been limited due to their tremendous diversity. Here, we develop a novel semi-quantitative metabarcoding approach that combines specimen counts and size-sorting to characterize arthropod community-level diversity patterns along two elevational gradients across two volcanoes on the island of Hawai`i. We find that arthropod communities between the two transects become increasingly distinct compositionally at higher elevations. Resistance surface approaches suggest that climatic differences between sampling localities are an important driver in shaping beta-diversity patterns, though the relative importance of climate varies across taxonomic groups. Nevertheless, the climatic niche position of OTUs between transects was highly correlated, suggesting that climatic filters shape the colonization between adjacent volcanoes. Taken together, our results highlight climatic niche conservatism as an important factor shaping ecological assembly along elevational gradients and suggest topographic complexity as an important driver of diversification.</p>
Figure 10. a in Ramie Moth, Arcte coerula (Lepidoptera: Noctuidae): A New Invasive Pest in Hawaii on Endemic Plants
Figure 10. a. Feeding damage by 1st instar Arcte coerula larvae; b. Feeding damage by 3rd instar larvae.
Figure 5. a in Ramie Moth, Arcte coerula (Lepidoptera: Noctuidae): A New Invasive Pest in Hawaii on Endemic Plants
Figure 5. a. Sixth instar larva of Udea stellata; b. Larvae typically found in a silken protective structure (arrow) on the underside of leaves with brown speckling from feeding damage.
Figure 6 in Ramie Moth, Arcte coerula (Lepidoptera: Noctuidae): A New Invasive Pest in Hawaii on Endemic Plants
Figure 6. Late instar larvae of tomato looper, Chrysodeixis chalcites. Although this caterpillar also has black markings on its side like A. coerula, their head capsule is green rather than tan or black and has a black line across the side (arrow).
Figure 2. a in Ramie Moth, Arcte coerula (Lepidoptera: Noctuidae): A New Invasive Pest in Hawaii on Endemic Plants
Figure 2. a. Unhatched Arcte coerula egg (arrow), 1 mm in diameter. Laid on the underside of host plant leaves; b. Arcte coerula egg mass with 150 hatched eggs.
Figure 2 in Weathering of Torula Yeast Borax Food Bait and Capture of Oriental, Mediterranean, and Melon Fruit Flies in Hawaii (Diptera: Tephritidae)
Figure 2. Captures of Mediterranean fruit flies (males and females combined) in Multilure traps baited with torula yeast borax weathered 3, 6, 9, or 12 d. Traps operated for 2 d at weekly intervals over 5 consecutive weeks. Symbols represent means + 1 SE (N = 10 traps/treatment/sampling period).
Figure 11. a in Ramie Moth, Arcte coerula (Lepidoptera: Noctuidae): A New Invasive Pest in Hawaii on Endemic Plants
Figure 11. a. Egg parasitoid of Arcte coerula emerging; b. Trichogramma sp. parasitizing the egg of Arcte coerula; c. Gregarious larval Eulophidae ectoparasitoid of Arcte coerula.
Figure 3 in Statewide Survey of Insects Found on Coffee in Hawaii
Figure 3. Number of taxa collected per survey, by island and combined for the state overall, during the year-long survey of insects associated with coffee plants in the State of Hawaii.
Figure 2 in Statewide Survey of Insects Found on Coffee in Hawaii
Figure 2. Distribution of orders collected during the year-long survey of insects associated with coffee plants in the State of Hawaii.
Figure 4 in Statewide Survey of Insects Found on Coffee in Hawaii
Figure 4. Most frequently collected specimens that were identifiable to species level during the year-long survey of insects associated with coffee plants in the State of Hawaii.
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.