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.
181
datasets available to search
ShareScore release 0.9.0
Dataset results
181 results for “Minnow”
FIGURE 5 in Two new species of small minnow mayfly (Ephemeroptera: Baetidae) from a mine-tailing dam disaster area in Minas Gerais, Brazil
FIGURE 5. Apobaetis irai sp. nov. holotype (INPA). A, foreleg (anterior surface), detached setae are posterior surface; B, detail of forefemur; C, posterior margin of terga IV; D, gill; E, paraproct; F, cercus; G, paracercus.
Data from: Pelagic zone is an evolutionary catalyst, but an ecological dead end, for North American minnows
<p>Colonization of a novel geographic area is a classic source of ecological opportunity. Likewise, complex microhabitats are thought to promote biodiversity. We sought to reconcile these two predictions when they are naturally opposing outcomes. We assess the macroevolutionary consequences of an ancestral shift from benthic to pelagic microhabitat zones on rates of speciation and phenotypic evolution in North American minnows. Pelagic species have more similar phenotypes and slower rates of phenotypic evolution, but faster speciation rates, than benthic species. These are likely two independent, opposing responses to specialization along the benthic-pelagic axis, as rates of phenotypic evolution and speciation are not directly correlated. The pelagic zone is more structurally homogenous and offers less ecological opportunity, acting as an ecological dead end for minnows. In contrast, pelagic species may be more mobile and prone to dispersal and subsequent geographic isolation and, consequently, experience elevated instances of allopatric speciation. Microhabitat shifts can have decoupled effects on different dimensions of biodiversity, highlighting the need for nuance when interpreting the macroevolutionary consequences of ecological opportunity.</p>
FIGURE 8 in Pseudophoxinus cilicicus, a new spring minnow from southern Anatolia (Teleostei Leuciscidae)
FIGURE 8. Pseudophoxinus zekayi, top: IUSHM 36700-155, about 89 mm SL; Turkey: spring Cöcelli; bottom: IUSHM 36700- 161, 78 mm SL; Turkey: river connecting lakes Gölbaşı and Azaplı.
FIGURE 5 in Pseudophoxinus cilicicus, a new spring minnow from southern Anatolia (Teleostei Leuciscidae)
FIGURE 5. Pseudophoxinus cilicicus, top: IUSHM 2018-1406, 85 mm SL; bottom: FSJF 2417, 113 mm SL; Turkey: River Seyhan below water regulation doors at Yüreyir.
FIGURE 4. Pseudophoxinus cilicicus, IUSHM 2018-1406 in Pseudophoxinus cilicicus, a new spring minnow from southern Anatolia (Teleostei Leuciscidae)
FIGURE 4. Pseudophoxinus cilicicus, IUSHM 2018-1406, paratypes, top: 87; bottom: 64 mm SL; Turkey: River Seyhan, be- low water regulation doors at Yüreyir.
FIGURE 1 in Pseudophoxinus cilicicus, a new spring minnow from southern Anatolia (Teleostei Leuciscidae)
FIGURE 1. Site-scale records of Pseudophoxinus species found in rivers flowing to the Gulf of İskenderun based on materials examined for this study and additional records listed by Saç et al. 2019 (see above).
FIGURE 3. Pseudophoxinus cilicicus, IUSHM 2018-1405 in Pseudophoxinus cilicicus, a new spring minnow from southern Anatolia (Teleostei Leuciscidae)
FIGURE 3. Pseudophoxinus cilicicus, IUSHM 2018-1405, holotype, 82 mm SL; Turkey: River Seyhan, below water regulation doors at Yüreyir.
FIGURE 2 in Pseudophoxinus cilicicus, a new spring minnow from southern Anatolia (Teleostei Leuciscidae)
FIGURE 2. Maximum likelihood estimation of phylogenetic relationships based on the mitochondrial COI barcode region (Kimura 2-parameter model, discrete Gamma distribution for rate differences with 5 categories +G parameter = 0.1930. Nucleotide positions with less than 98% site coverage were eliminated, resulting in 538 analysed positions. The number of major nodes indicates bootstrap values>75% from 1000 pseudoreplicates from the ML, NJ and MP methods. Solid bars right to the specimen labels indicate species delimitation results from PTP followed by the results of the mPTP approach as dashed bars. The tree is drawn to scale with branch lengths depicting number of substitutions per site.
FIGURE 6. Pseudophoxinus cilicicus, IUSHM 36700-133 in Pseudophoxinus cilicicus, a new spring minnow from southern Anatolia (Teleostei Leuciscidae)
FIGURE 6. Pseudophoxinus cilicicus, IUSHM 36700-133, top: 72 mm SL; bottom: 47 mm SL; Turkey: River Arsuz.
Figure 4 in Psilorhynchus kosygini, a new species of torrent minnow (Teleostei: Psilorhynchidae) from Nagaland, north-east India
Figure 4. Comparative line drawing of the ventral surface between paired fins of A, Psilorhynchus kosygini and B, P. homaloptera (from Conway et al. 2013). I–IV represents pre-anal scales. Illustration without scale.
Data from: A novel alarm signal in aquatic prey: Familiar minnows coordinate group defences against predators through chemical disturbance cues
Open the record for dataset details and reuse information.
Data from: High background risk induces risk allocation rather than generalized neophobia in the fathead minnow
Open the record for dataset details and reuse information.
Data from: Microhabitat complexity influences fear acquisition in fathead minnows
Open the record for dataset details and reuse information.
Epidermal club cell densities in fathead minnows: assessment of method and application to a case study
Open the record for dataset details and reuse information.
Still time for action: genetic conservation of imperiled South Canadian River fishes, Arkansas River Shiner (Notropis girardi), Peppered Chub (Macrhybopsis tetranema) and Plains Minnow (Hybognathus placitus)
Open the record for dataset details and reuse information.
Data from: Spatio-temporal variation in parasite communities maintains diversity at the major histocompatibility complex class IIβ in the endangered Rio Grande Silvery Minnow
Open the record for dataset details and reuse information.
Data from: The role of geography and ecology in shaping repeated patterns of morphological and genetic differentiation between European minnows (Phoxinus phoxinus) from the Pyrenees and the Alps
Open the record for dataset details and reuse information.
Data from: Genetic diversity of the critically endangered lake minnow Eupallasella percnurus in Poland and its implications for conservation
Open the record for dataset details and reuse information.
Data from: Investigating the effects of Pleistocene events on genetic divergence within Richardsonius balteatus, a widely distributed western North American minnow
Open the record for dataset details and reuse information.
Data from: Genetic monitoring and complex population dynamics: insights from a 12-year study of the Rio Grande silvery minnow
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.