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.
40
datasets available to search
ShareScore release 0.9.0
Dataset results
40 results for “butterflyfish”
Fig. 1. Roa australis n in Description of a New Species of Butterflyfish, Roa australis, from Northwestern Australia (Pisces: Perciformes: Chaetodontidae)
Fig. 1. Roa australis n.sp., holotype, WAM P.26215-001 (112 mm SL) off Port Hedland, Western Australia. Photograph by Barry Hutchins.
Fig. 2 in Description of a New Species of Butterflyfish, Roa australis, from Northwestern Australia (Pisces: Perciformes: Chaetodontidae)
Fig. 2. left to right. Roa modesta. Osezaki, Japan. Depth 20 m. Length 12 cm TL. Photograph by Rudie Kuiter. Roa jayakari. Gulf of Aqaba, Red Sea. Depth 180 m. Photograph by Jürgen Schauer, from submersible. Roa excelsa. BPBM 24754. Length 98 mm SL. Photograph of preserved specimen and colouring by Rudie Kuiter after Allen et al., 1998.
FIGURE 4 in Phylogeography of the banded butterflyfish, Chaetodon striatus, indicates high connectivity between biogeographic provinces and ecosystems in the western Atlantic
FIGURE 4 | Migrate values (number of individuals) and error bars (standard error) of immigration and emigration of individuals of Chaetodon striatus per studied population in the western Atlantic: A. mtDNA concatenated (control region and cyt b) and B. rag 2.
FIGURE 1 in Phylogeography of the banded butterflyfish, Chaetodon striatus, indicates high connectivity between biogeographic provinces and ecosystems in the western Atlantic
FIGURE 1 | Map with all sampling sites along Chaetodon striatus distribution range (red line). Blue color on the map indicates freshwater.
Linked collectors and determiners for: Prognathodesbasabei, a new species of butterflyfish (Perciformes, Chaetodontidae) from the Hawaiian Archipelago.
Natural history specimen data linked to collectors and determiners held within, "Prognathodesbasabei, a new species of butterflyfish (Perciformes, Chaetodontidae) from the Hawaiian Archipelago". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/063b0bc8-3175-4bf0-8923-8d192361941f">https://bionomia.net/dataset/063b0bc8-3175-4bf0-8923-8d192361941f</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/063b0bc8-3175-4bf0-8923-8d192361941f">https://gbif.org/dataset/063b0bc8-3175-4bf0-8923-8d192361941f</a>. Formatted as a Frictionless Data package.
Figure 5 in Morphology and biology of the Miocene butterflyfish Chaetodon ficheuri (Teleostei: Chaetodontidae)
Figure 5. Chaetodon (Arambourgchaetodon) ficheuri Arambourg, 1927. A, holotype, MNHN ORA89, urohyal, left lateral view. Scale bar 5 mm. B, holotype, MNHN ORA89, particular of the gill rakers, left lateral view. Scale bar 1 mm. C, holotype, MNHN ORA89, supracleithrum, left medial view. Scale bar 3 mm. D, holotype, MNHN ORA89, reconstruction of the caudal skeleton, left lateral view. Scale bar 5 mm. E, paratype, MNHN ORA46, supraneurals and first dorsal pterygiophore, right lateral view. Scale bar 5 mm. Abbreviations: ep, epural; hyp, hypural; ns, neural spine; phy, parhypural; pt, pterygiophore; sn, supraneural; soc, supraoccipital; un, uroneural.
Figure 4 in Morphology and biology of the Miocene butterflyfish Chaetodon ficheuri (Teleostei: Chaetodontidae)
Figure 4. Chaetodon (Arambourgchaetodon) ficheuri Arambourg, 1927, reconstruction of the head, left lateral view. Abbreviations: aa, angulo-articular; d, dentary; dsp, dermosphenotic; ecp, ectopterygoid; enp, endopterygoid; epo, epioccipital; fr, frontal; h, hyomandibula; io, infraorbital bones; iop, interopercle; l, lacrimal; le, lateral ethmoid; me, mesethmoid; mtp, metapterygoid; mx, maxilla; n, nasal; op, opercle; pa, parietal; pal, palatine; pmx, premaxilla; pop, preopercle; pto, pterotic; pts, pterosphenoid; q, quadrate; soc, supraoccipital; sop, subopercle; sym, symplectic.
Figure 3 in Morphology and biology of the Miocene butterflyfish Chaetodon ficheuri (Teleostei: Chaetodontidae)
Figure 3. Chaetodon (Arambourgchaetodon) ficheuri Arambourg, 1927. A, paratype, MNHN ORA46. B, paratype, MNHN ORA47. C, MNHN ORA1435. D, paratype, MNHN ORA46. Scale bar 20 mm.
Figure 1 in Morphology and biology of the Miocene butterflyfish Chaetodon ficheuri (Teleostei: Chaetodontidae)
Figure 1. Sketch map of Algeria showing the type localities of Chaetodon (Arambourgchaetodon) ficheuri Arambourg, 1927. 1, Les Planteurs. 2, Raz-el-Aïn. 3, St. Eugène. 4, Saint-Denis du Sig.
Rapid resource depletion on coral reefs disrupts competitor recognition processes among butterflyfish species
<p>Avoiding costly fights can help conserve energy needed to survive rapid environmental change. Competitor recognition processes help resolve contests without escalating to attack, yet we have limited understanding of how they are affected by resource depletion and potential effects on species coexistence. Using a mass coral mortality event as a natural experiment and 3,770 field observations of butterflyfish encounters, we test how rapid resource depletion could disrupt recognition processes in butterflyfishes. Following resource loss, heterospecifics approached each other more closely before initiating aggression, fewer contests were resolved by signalling, and the energy invested in attacks was greater. In contrast, behaviour towards conspecifics did not change. As predicted by theory, conspecifics approached one another more closely and were more consistent in attack intensity yet, contrary to expectations, resolution of contests via signalling was more common among heterospecifics. Phylogenetic relatedness or body size did not predict these outcomes. Our results suggest that competitor recognition processes for heterospecifics became less accurate after mass coral mortality, which we hypothesise is due to altered resource overlaps following dietary shifts. Our work implies that competitor recognition is common among heterospecifics, and disruption of this system could lead to suboptimal decision-making, exacerbating sublethal impacts of food scarcity.</p>
Rapid resource depletion on coral reefs disrupts competitor recognition processes among butterflyfish species
Open the record for dataset details and reuse information.
Data from: Gene expression correlates of social evolution in coral reef butterflyfishes
<p>Animals display remarkable variation in social behavior. However, outside of rodents, little is known about the neural mechanisms of social variation, and whether they are shared across species and sexes, limiting our understanding of how sociality evolves. Using coral reef butterflyfishes, we examined gene expression correlates of social variation (i.e., pair bonding vs. solitary living) within and between species and sexes. In several brain regions, we quantified gene expression of receptors important for social variation in mammals: oxytocin (<i>OTR</i>), arginine vasopressin (<i>V1aR</i>), dopamine (<i>D1R, D2R</i>), and mu-opioid (<i>MOR</i>). We found that social variation across individuals of the oval butterflyfish, <i>Chaetodon lunulatus,</i> is linked to differences in <i>OTR</i>,<i>V1aR, D1R, D2R, </i>and <i>MOR</i> gene expression within several forebrain regions in a sexually dimorphic manner. However, this contrasted with social variation among six species representing a single evolutionary transition from pair bonded to solitary living. Here, <i>OTR </i>expression within the supracommissural part of the ventral telencephalon was higher in pair bonded than solitary species, specifically in males. These results contribute to the emerging idea that nonapeptide, dopamine, and opioid signaling is a central theme to the evolution of sociality across individuals, although the precise mechanism may be flexible across sexes and species.</p>
The gut microbiome variability of a butterflyfish increases on severely degraded Caribbean reefs
<p>Environmental degradation has the potential to alter key mutualisms that underlie the structure and function of ecological communities. How microbial communities associated with fishes vary across populations and in relation to habitat characteristics remains largely unknown despite their fundamental roles in host nutrition and immunity. We find significant differences in the gut microbiome composition of a facultative coral-feeding butterflyfish (Chaetodon capistratus) across Caribbean reefs that differ markedly in live coral cover (∼0–30%). Fish gut microbiomes were significantly more variable at degraded reefs, a pattern driven by changes in the relative abundance of the most common taxa potentially associated with stress. We also demonstrate that fish gut microbiomes on severely degraded reefs have a lower abundance of Endozoicomonas and a higher diversity of anaerobic fermentative bacteria, which may suggest a less coral dominated diet. The observed shifts in fish gut bacterial communities across the habitat gradient extend to a small set of potentially beneficial host associated bacteria (i.e., the core microbiome) suggesting essential fish-microbiome interactions may be vulnerable to severe coral degradation.</p>
DNA metabarcoding confirms primary targets and breadth of diet for coral reef butterflyfishes
<p>Understanding species-specific resource requirements is paramount in managing and protecting biodiversity in a world where environmental quality is in decline. Dietary data can inform predator–prey relationships and how changes in prey availability impact different species. However, for many coral reef fishes, prey and predatory events can be difficult to observe and identify, both in situ and within examined stomach samples. Here we applied DNA metabarcoding of stomach content samples for eleven Red Sea butterflyfish species to identify the diversity of dietary components that these primarily benthic feeding fish consume across coral reefs. Detections based on 18S and COI sequences from partially digested stomach contents significantly increased the resolution and diversity of the known diet for this group of fish, which included cryptic prey that are difficult to visually document due to soft parts or morphological ambiguity. In addition to scleractinian corals and other Cnidaria, the obligate corallivore species fed on a wide range of benthic organisms, whereas facultative species displayed a broader diet with crustaceans, tunicates, and worms contributing to samples. While a number of individuals contained DNA that could not be confidently identified using this method, the proportion of unidentifiable sequences was relatively low across butterflyfish species. The COI marker identified the importance of soft corals in the diet for two hard coral specialists; <em>Chaetodon melannotus</em> and <em>Chaetodon</em> <em>semilarvatus</em>, with soft coral detected in over half of the individuals and contributing significantly to the number of DNA sequence reads within their gut. Notably, five prey items identified to the species level were detected that are currently not documented in the Red Sea. Our analysis revealed that the diet of different species of butterflyfish significantly overlaps, with all species deriving most of their diet from the phylum Cnidaria (hard and soft coral, anemones) and symbiotic Symbiodiniaceae algae. Furthermore, accumulation curves suggest that all study species may feed on an even greater fraction of the benthos, likely driven by the availability and diversity of each individual/pair's associated territory. This approach increases the known dietary resolution and diversity of these key reef fishes and further enhances our understanding between butterflyfish and benthic organisms.</p>
DNA metabarcoding confirms primary targets and breadth of diet for coral reef butterflyfishes
Open the record for dataset details and reuse information.
The gut microbiome variability of a butterflyfish increases on severely degraded Caribbean reefs
Open the record for dataset details and reuse information.
Data from: Gene expression correlates of social evolution in coral reef butterflyfishes
Open the record for dataset details and reuse information.
Data from: Naturally occurring hybrids of coral reef butterflyfishes have similar fitness compared to parental species
Hybridisation can produce evolutionary novelty by increasing fitness and adaptive capacity. Heterosis, or hybrid vigour, has been documented in many plant and animal taxa, and is a notable consequence of hybridisation that has been exploited for decades in agriculture and aquaculture. On the contrary, loss of fitness in naturally occurring hybrid taxa has been observed in many cases. This can have negative consequences for the parental species involved (wasted reproductive effort), and has raised concerns for species conservation. This study evaluates the relative fitness of previously documented butterflyfish hybrids of the genus Chaetodon from the Indo-Pacific suture zone at Christmas Island. Histological examination confirmed the reproductive viability of Chaetodon hybrids. Examination of liver lipid content showed that hybrid body condition was not significantly different from parent species body condition. Lastly, size at age data revealed no difference in growth rates and asymptotic length between hybrids and parent species. Based on the traits measured in this study, naturally occurring hybrids of Chaetodon butterflyfishes have similar fitness to their parental species, and are unlikely to supplant parental species under current environmental conditions at the suture zone. However, given sufficient fitness and on going genetic exchange between the respective parental species, hybrids are likely to persist within the suture zone.
Data from: Reef fish hybridisation: lessons learnt from butterflyfishes (genus Chaetodon)
Open the record for dataset details and reuse information.
Data from: High gene flow across large geographic scales reduces extinction risk for a highly specialised coral feeding butterflyfish
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.