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.
49
datasets available to search
ShareScore release 0.7.1
Dataset results
49 results for “Coral Reef Habitat”
Data from: Fear effects associated with predator presence and habitat structure interact to alter herbivory on coral reefs
Open the record for dataset details and reuse information.
Coexisting mangrove-coral habitat use by reef fishes in the Caribbean
Open the record for dataset details and reuse information.
Diel temperature and pH variability scale with depth across diverse coral reef habitats
Open the record for dataset details and reuse information.
Data from: High abundances of crustose coralline algae inside cryptic coral habitats linked to coral reef functioning
Open the record for dataset details and reuse information.
Moorea Coral Reef site, station Fore reef habitat, study of secchi disk visibility (horizontal), disk at 13 meter depth in units of meter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Moorea Coral Reef (MCR) contains secchi disk visibility (horizontal), disk at 13 meter depth measurements in meter units and were aggregated to a yearly timescale.
Moorea Coral Reef site, station Fringing Reef habitat, study of secchi disk visibility (horizontal), disk at 7 meter depth in units of meter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Moorea Coral Reef (MCR) contains secchi disk visibility (horizontal), disk at 7 meter depth measurements in meter units and were aggregated to a yearly timescale.
Data from: Hierarchical behaviour, habitat use and species size differences shape evolutionary outcomes of hybridization in a coral reef fish.
Hybridization is an important evolutionary process, with ecological and behavioural factors influencing gene exchange between hybrids and parent species. Patterns of hybridization in anemonefishes may result from living in highly specialized habitats and breeding status regulated by size-based hierarchal social groups. Here morphological, ecological and genetic analyses in Kimbe Bay, Papua New Guinea examine the hybrid status of Amphiprion leucokranos, a nominal species and presumed hybrid between Amphiprion sandaracinos and Amphiprion chrysopterus. We test the hypothesis that habitat use and relative size differences of the parent species and hybrids determine patterns of gene exchange. There is strong evidence that A. leucokranos is a hybrid of smaller A. sandaracinos and larger A. chrysopterus, where A. chrysopterus is exclusively the mother to each hybrid, based on mtDNA cytochrome b and multiple nDNA microsatellite loci. Overlap in habitat, depth and host anemone use was found, with hybrids intermediate to parents and co-habitation in over 25% of anemones sampled. Hybrids, intermediate in body size, colour and pattern, were classified 55% of the time as morphologically first generation hybrids relative to parents, whereas 45% of hybrids were more A. sandaracinos-like, suggesting back-crossing. Unidirectional introgression of A. chrysopterus mtDNA into A. sandaracinos via hybrid backcrosses was found, with larger female hybrids and small male A. sandaracinos mating. Potential nDNA introgression was also evident through distinct intermediate hybrid genotypes penetrating both parent species. Findings support the hypothesis that anemonefish hierarchical behaviour, habitat use, and species-specific size differences determine how hybrids form and the evolutionary consequences of hybridization.
Figure 1 in Coral reef benthic assemblages of a Marine Protected Area in eastern Brazil: effect of reef habitats on the spatial pattern of species
Figure 1. Location of the Marine Park Recife de Fora within Brazil and south Bahia (left) and map of the study area with sampling stations.
Figure 5 in Coral reef benthic assemblages of a Marine Protected Area in eastern Brazil: effect of reef habitats on the spatial pattern of species
Figure 5. Benthic cover of six major organisms/categories based on the SIMPER test along the reef assemblages recorded in the Marine Park Recife de Fora between February 2008 and January 2009. (a) Halophila decipiens; (b) fleshy macroalgae; (c) turf algae; (d) crustose coralline algae; (e) Millepora alcicornis; (f) Siderastrea spp.
Figure 4 in Coral reef benthic assemblages of a Marine Protected Area in eastern Brazil: effect of reef habitats on the spatial pattern of species
Figure 4. Batimetric profile across the Marine Park Recife de Fora, showing changes in per cent cover of major benthic organisms/categories across the reef habitats.
Figure 3 in Coral reef benthic assemblages of a Marine Protected Area in eastern Brazil: effect of reef habitats on the spatial pattern of species
Figure 3. Multidimensional scaling (NMDS) of benthic assemblages (relative cover of different organisms/categories) based on Chord similarities. (A) Samples classified according to sectors; (B) samples classified according to habitat. Habitats: ALG – algal slope, BAC – back reef, CHA – reef channel, FLA – reef flat, FOR – fore reef, PAT – patch reef, TID – tidal pool and UNC – unconsolidated substrate.
Figure 2 in Coral reef benthic assemblages of a Marine Protected Area in eastern Brazil: effect of reef habitats on the spatial pattern of species
Figure 2. Map of the geomorphologic classification of Voronoi polygons in the Marine Park Recife de Fora (adapted from Arantes and Seoane 2017).
F in Habitat utilization by juvenile hawksbill turtles (Eretmochelys imbricata, Linnaeus, 1766) around a shallow water coral reef
F. 6. Schematic showing the movement of hawksbill turtles between foraging and resting sites: (1) foraging on reef flat; (2) ascending to the surface once foraging has ended; (3) descending down reef face; (4) resting site (typically sandy bottomed); (5) ascending to surface following period of rest and return to foraging site.
F in Habitat utilization by juvenile hawksbill turtles (Eretmochelys imbricata, Linnaeus, 1766) around a shallow water coral reef
F. 7. Comparison of foraging depth (active and stationary combined) with the depth of the resting site (post-foraging) (open circle). Line of equivalence (i.e. foraging depth= resting depth). Data represent occasions when the turtle was observed to swim repeatedly between foraging and resting sites (N=11) and not when observed at either site independently. Superimposed are mean dive depth data (±1 SD) for juvenile hawksbills taken from table 3 in van Dam and Diez (1996) (closed circle).
F in Habitat utilization by juvenile hawksbill turtles (Eretmochelys imbricata, Linnaeus, 1766) around a shallow water coral reef
F. 5. Mean depth (±1 SD) for different behaviours at the six study sites combined. SF, stationary foraging; AF, active foraging; R, resting; AR, assisted resting.
F in Habitat utilization by juvenile hawksbill turtles (Eretmochelys imbricata, Linnaeus, 1766) around a shallow water coral reef
F. 3. Comparison of actual and estimated sizes of the four mock-up carapaces (±1 SD). Data shown represent a combination of all observers (N=6). Line of equivalence (i.e. actual size=estimated size) is shown.
Non-reef habitats in a tropical seascape affect density and biomass of fishes on coral reefs
<p class="CxSpFirst">Non-reef habitats such as mangroves, seagrass, and macroalgal beds are important for foraging, spawning, and as nursery habitat for some coral reef fishes. The spatial configuration of non-reef habitats adjacent to coral reefs can therefore have a substantial influence on the distribution and composition of reef fish. We investigate how different habitats in a tropical seascape in the Philippines influence the presence, density, and biomass of coral reef fishes to understand the relative importance of different habitats across various spatial scales. A detailed seascape map generated from satellite imagery was combined with field surveys of fish and benthic habitat on coral reefs. We then compared the relative importance of local reef (within coral reef) and adjacent habitat (habitats in the surrounding seascape) variables for coral reef fishes. Overall, adjacent habitat variables were as important as local reef variables in explaining reef fish density and biomass, despite being fewer in number in final models. For adult and juvenile wrasses (Labridae), and juveniles of some parrotfish taxa (<i>Chlorurus)</i>, adjacent habitat was more important in explaining fish density and biomass. Notably, wrasses were positively influenced by the amount of sand and macroalgae in the adjacent seascape. Adjacent habitat metrics with the highest relative importance were sand (positive), macroalgae (positive) and mangrove habitats (negative), and fish responses to these metrics were consistent across fish groups evaluated. The 500-m spatial scale was selected most often in models for seascape variables. Local coral reef variables with the greatest importance were percent cover of live coral (positive), sand (negative), and macroalgae (mixed). Incorporating spatial metrics that describe the surrounding seascape will capture more holistic patterns of fish-habitat relationships on reefs. This is important in regions where protection of reef fish habitat is an integral part of fisheries management but where protection of non-reef habitats is often overlooked.</p>
Terrain- and climate-based habitat suitability indices for the reef-building coral Lophelia pertusa on the Blake Plateau (southeastern United States)
<p>Habitat suitability model outputs from Gasbarro et al. (2022) covering the Blake Plateau region of the southeastern United States margin. These include raster surfaces of ensemble mean, median, and standard deviation habitat suitability indices. Bathymetry-derived terrain variables were used to generate the terrain suitability layers, while climate model outputs were used to generate the climatic suitability layers. Rasters are in WGS84. See Gasbarro et al. (2022) for full modeling details.</p>
Non-reef habitats in a tropical seascape affect density and biomass of fishes on coral reefs
Open the record for dataset details and reuse information.
Data from: Global ecological success of Thalassoma fishes in extreme coral reef habitats
Open the record for dataset details and reuse information.
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.