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.
68
datasets available to search
ShareScore release 0.9.0
Dataset results
68 results for “endangered fish”
Fig. 3 in Growth of Critically Endangered annual fish Austrolebias wolterstorffi (Cyprinodontiformes: Rivulidae) at different temperatures
Fig. 3. Standard length (SL) of Austrolebias wolterstorffi sexually differentiated (males and females) and undifferentiated (juveniles), at 46 (A) and 53 (B) days after hatching. Different letters represent significant differences in SL means (A: t test, px <0.05, B: ANOVA, Tukey, p> 0.05).
Fig. 5 in Growth of Critically Endangered annual fish Austrolebias wolterstorffi (Cyprinodontiformes: Rivulidae) at different temperatures
Fig. 5. Effect of temperature on growth in standard length (SL) of female (A) and male (B) of Austrolebias wolterstorffi under different ages (DAH = days after hatching). The arrows indicate the inflection points of curves.
Fig. 4 in Growth of Critically Endangered annual fish Austrolebias wolterstorffi (Cyprinodontiformes: Rivulidae) at different temperatures
Fig. 4. Effect of temperature on growth in standard length (SL) of Austrolebias wolterstorffi under different ages (DAH = days after hatching). The arrows indicate the inflection points of curves.
Fig. 2 in Growth of Critically Endangered annual fish Austrolebias wolterstorffi (Cyprinodontiformes: Rivulidae) at different temperatures
Fig. 2. Standard length (SL) of females (A) and males (B) and weight (W) of females (C) and males (D) (mean ± standard error) Austrolebias wolterstorffi kept in the laboratory for 67 days after hatching (DAH) under different temperatures. Different letters represent significant mean differences between treatments (ANOVA, Tukey, p <0.05)
Fig. 1 in Growth of Critically Endangered annual fish Austrolebias wolterstorffi (Cyprinodontiformes: Rivulidae) at different temperatures
Fig. 1. Standard length (SL) (mean ± standard error) of Austrolebias wolterstorffi kept in the laboratory for 46 days after hatching (DAH) under different temperatures. Different letters represent significant mean differences between treatments (ANOVA, Tukey, p <0.05)
Fig. 6 in Population density and habitat of an endangered cave fish Eigenmannia vicentespelaea Triques, 1996 (Ostariophysi: Gymnotiformes) from a karst area in central Brazil
Fig. 6. Population densities of Eigenmannia trilineata from rio da Lapa, São Domingos karst area, central Brazil, observed from dusk until night phase during two nights (April and August 2001). Asterisk indicates that no sample was recorded in this period at April 2001.
Fig. 4 in Population density and habitat of an endangered cave fish Eigenmannia vicentespelaea Triques, 1996 (Ostariophysi: Gymnotiformes) from a karst area in central Brazil
Fig. 4. Box-plots showing the means and standard deviations (Sd) of population densities data for Eigenmannia vicentespelaea along the years 1999, 2000 and 2001 (a) and between the dry seasons, independent of the years (b) BDS, beginning of dry season; MDS, middle of dry season; EDS, end of dry season.
Fig. 7 in Population density and habitat of an endangered cave fish Eigenmannia vicentespelaea Triques, 1996 (Ostariophysi: Gymnotiformes) from a karst area in central Brazil
Fig. 7. Box-plots showing means and standard deviations of pH (a) conductivity (b) and temperature (c) from the São Vicente II cave stream in the dry seasons of 1999, 2000 and 2001 (circle and asterisk represent outliers).
Fig. 3 in Population density and habitat of an endangered cave fish Eigenmannia vicentespelaea Triques, 1996 (Ostariophysi: Gymnotiformes) from a karst area in central Brazil
Fig. 3. Monthly rainfall recorded in the years of 1999, 2000 and 2001. Source: INMET, Posse municipality, Goiás State, central Brazil.
Fig. 5 in Population density and habitat of an endangered cave fish Eigenmannia vicentespelaea Triques, 1996 (Ostariophysi: Gymnotiformes) from a karst area in central Brazil
Fig. 5. Biplot resulting from Principal Component Analysis with seven variables. Dark circles represent sampling units.
Fig. 2 in Inseminating dose and water volume applied to the artificial fertilization of Steindachneridion parahybae (Steindachner, 1877) (Siluriformes: Pimelodidae): Brazilian endangered fish
Fig. 2. Values of hatching rate (Hatch) of Steindachneridion parahybae with regard to different inseminating doses versus water volume. Left – 3D graphical representation. Right – 2D graphical representation. Spermatozoa oocytes-1 (spz ooc-1).
Fig. 1 in Inseminating dose and water volume applied to the artificial fertilization of Steindachneridion parahybae (Steindachner, 1877) (Siluriformes: Pimelodidae): Brazilian endangered fish
Fig. 1. Values of fertilization rates (Fert) of Steindachneridion parahybae with regard to different inseminating doses versus water volume. Left – 3D graphical representation. Right – 2D graphical representation. Spermatozoa oocyte-1 (spz ooc-1). r²=77.47%.
Fig. 3 in Ecology of Mylesinus paucisquamatus Jégu & Santos, 1988, an endangered fish species from the rio Tocantins basin
Fig. 3. Relativeabundance(%)ofMylesinus paucisquamatus among seasonal periods, considering all data sets combined, e.g., 81 individuals captured between 1998 and 2009, upper rio Tocantins.
Fig. 4 in Ecology of Mylesinus paucisquamatus Jégu & Santos, 1988, an endangered fish species from the rio Tocantins basin
Fig. 4. Percentage of reproductive phases of Mylesinus paucisquamatus among seasonal periods, for males (a) and females (b), upper rio Tocantins. Numbers above bars are the mean gonad-somatic index (GSI, %) for each period.
Fig. 1 in Ecology of Mylesinus paucisquamatus Jégu & Santos, 1988, an endangered fish species from the rio Tocantins basin
Fig. 1. Study area on the upper rio Tocantins, monitored between 1998 and 2009. Sampling sites of each data set are indicate by different symbols (Data Set 1 = triangles; 2 = squares; 3 = circles). Numbers near sampling sites are the relative abundance (%) of Mylesinus paucisquamatus over the whole study period.
Data from: A shift to metapopulation genetic management for persistence of a species threatened by fragmentation: the case of an endangered Australian freshwater fish
Open the record for dataset details and reuse information.
Data from: Immediate genetic augmentation and enhanced habitat connectivity are required to secure the future of an iconic endangered freshwater fish population
Open the record for dataset details and reuse information.
Time-varying flow-ecology relationships for an endangered fish population: Longfin Smelt in the San Francisco Estuary
Open the record for dataset details and reuse information.
Results from simulated drift trajectories of driting Fish Aggregating Devices used in Figures for paper Escalle et al., (2024) Simulating drifting fish aggregating device trajectories to identify potential interactions with endangered sea turtles
<p>Escalle et al., (2024) Simulating drifting fish aggregating device trajectories to identify potential interactions with endangered sea turtles<br><span><a href="../doi/10.5281/zenodo.10815559">https://zenodo.org/doi/10.5281/zenodo.10815559</a></span></p> <p>Results data description<br>The above doi contains simulation output data generated from passive drift simulations of drifting FADs in the Pacific ocean. We refer the reader to the main text of the paper for details and definitions of the different zones and simulation experiments.</p> <p>All data files are matrices stored in comma-delimited files (.csv), where the first provides the column names of the matrix, and the first column provides the row names. The first cell in row 1, column 1 is simply a placement value that describes the nature of the matrix. </p> <p>When this value is a hash symbol (#), it denotes that the matrix represents a spatial density of virtual particles under a particular drift scenario and over a particular period of time. Column names provide the latitude indices of each cell, and row names are the longitude indices. Values are the proportion of all particules in the domain that passed through this cell, during the drift-time window of this results file (see below).</p> <p>When the first cell value is a hash followed by a code (e.g. # EqZ), it denotes that the file represents a connectivity matrix between the zones given by the code (e.g. Equatorial Zones EqZ or Fishing Zones FZ) and defined in the row names of the matrix, and the turtle zones defined by the column names. Values are the proportion of particules beginning the zone defined by the row name at the start of the simulation, which are now present in the zone defined by the column name.</p> <p>Files name follow a convention describing the deployment and drift-time scenario they represent.</p> <p>For spatial density matrices:<br>[Origin Zones]_[Subset]_Density_[Drift Time]_....csv</p> <p>For connectivity/transition matrices:<br>[Origin Zones]_[Drift Time]_[Number of Simulations Run]_TransitionMatrix_....csv</p>
Ignorance is not bliss: Evolutionary naïveté in an endangered desert fish and implications for conservation
<p><span><em>Predator naiveté</em> </span><span>has been invoked to explain the impacts of non-native predators on isolated populations that evolved with limited predation. Such impacts have been repeatedly observed for the endangered Pahrump poolfish, <em>Empetrichthys latos</em>, a desert fish species that evolved in isolation since the end of the Pleistocene. We tested Pahrump poolfish anti-predator responses to conspecific chemical alarm cues released from damaged epidermal tissue in terms of fish activity and water column position. Pahrump poolfish behavioural responses to conspecific alarm cues did not differ from responses to a dechlorinated tap water control. As a positive control, the well-studied fathead minnow, <em>Pimephales promelas</em>, showed significant alarm cue responses in terms of reduced activity and lowered water column position. The density of epidermal club cells, the presumptive source of alarm cues, was significantly lower in Pahrump poolfish relative to fathead minnows. Therefore, anti-predator competence mediated by conspecific alarm cues does not seem to be a component of the ecology of Pahrump poolfish. These findings provide a proximate mechanism for the vulnerability of Pahrump poolfish to non-native predators, with implications for conservation and management of insular species.</span></p>
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.