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.
115
datasets available to search
ShareScore release 0.9.0
Dataset results
115 results for “small fish”
Diet composition for small pelagic fishes across the Northeast U.S. Continental Shelf for NES-LTER, ongoing since 2013
These data represent the diet composition of small pelagic fishes assessed by the Northeast U.S. Shelf Long-Term Ecological Research (NES-LTER) project. The six species of fish in this dataset represent a subset of the species collected in bottom trawls conducted by the NOAA Fisheries Northeast Ecosystems Surveys from Cape Hatteras to the Gulf of Maine. Sampling occurred in the Spring and Fall seasons. Fish were frozen and stomach content analyses were conducted by the Fisheries Oceanography and Larval Fish Ecology Lab at the Woods Hole Oceanographic Institution. Data are counts and length measurements for prey items examined under a dissecting microscope. Prey species were matched to the lowest taxonomic level in the Integrated Taxonomic Information System (ITIS) for scientific name and taxonomic serial number. The dataset was supplemented with geospatial and temporal information from NOAA Fisheries trawl databases.
Lake morphometry mediates the relationship between water color and fish biomass in small boreal lakes
<p>The data are for an analysis of the influence of water color and lake depth on fish biomass small (1-10 ha) lakes in boreal Sweden.</p> <p>AllBorealLakes.csv contains a list of surface areas (variable name hectares, given in hectares) for all lakes greater or equal to 1 hectare surface area in the boreal zone of Sweden. The original lake census comes from the Swedish government (Nisell et al. 2007) and lakes within the boreal zone were extracted based on the boreal zone boundary of Olson et al. (2001). There is also a lake ID number (FID_vivan_) used in the extraction.</p> <p> </p> <p>SmallBorealLakes.csv contains a list of surface areas (variable name hectares, given in hectares) for all lakes greater or equal to 1 hectare surface area and less than or equal to 10 hectares in the boreal zone of Sweden. The original lake census comes from the Swedish government (Nisell et al. 2007) and lakes within the boreal zone were extracted based on the boreal zone boundary of Olson et al. (2001). There is also a lake ID number (FID_vivan_) used in the extraction.</p> <p> </p> <p>SNILLE_ms_data.csv contains data on fish biomass for 16 small boreal lakes. The geographic coordinates (Northing and Easting) are based on the Swedish Grid, see: http://www.lantmateriet.se. Lake surface areas based on the Swedish lake census (Nisell et al. 2007). Mean depth (meters) is based on echo sounding with an integrated GIS (Lowrance m52i). Volumes were calculated by calculating a triangulated irregular network and then mean depth subsequently calculated as volume divided by surface area. kd is the vertical light extinction coefficient (m^-1). We calculated <em>k</em><sub>d</sub> from the slope of the linear regression of the logarithm of photosynthetically active radiation (measured with LI-COR LI-193 spherical quantum sensor) versus measurement depth (measured in approximately 0.5 meter intervals over the deepest part of the lake). The shallowest measure was excluded from the calculation. The values in the table are the average of kd calculated from three visits to each lake (once each approximately in June, July, and August 2014). kd is an indicator of colored dissolved organic carbon and water color (brownness) in this region and there is relatively little contribution of phytoplankton or inorganic particulate. CPUE Catch-per-unit-effort (kg wet weight / net) is an indicator of fish biomass. For each lake, we set 8 multi mesh gill nets (Nordic 12 nets, 30 x 1.5 m; Mesh sizes: 5, 6.25, 8, 10, 12.5, 15.5, 19.5, 24, 29, 35, 43, 55 mm) over one night (approximately 12 hours) in August 2014. Four nets were deployed in the littoral zone perpendicular to the shoreline. These nets were approximately equally spaced. Two floating nets were deployed across the deepest point of the pelagic zone, and two benthic nets were set in the hypolimnion near the deepest point of the lake. Net-specific catches were averaged with weighting based on the relative extent of the different habitat types (see Karlsson et al. 2015). Specifically, the profundal nets were assumed to represent the total hypolimnetic volume and the pelagic nets were assumed to represent the volume above the hypolimnion. The volume of the littoral nets was calculated by subtracting the volume of the pelagic and profundal habitats from the total lake volume. These weighted CPUE values are given in the file. Species identified through gill netting are abbreviated as: P for European perch (<em>Perca fluviatilis</em>), R for common roach (<em>Rutilus rutilus</em>), N for northern pike (<em>Esox lucius</em>), B for burbot (<em>Lota lota</em>)</p> <p>Boreal_Area_kd_data.csv contains a list of estimated vertical light extinction coefficients (kd, m^-1) for lakes in boreal Sweden. Specifically, the values are based on water chemistry data from a national water quality survey conducted in Sweden every five years. Lake surface water (0.5 m) was sampled from above the deepest part of the lake during early autumn when the water column is mixed. Water quality analyses were performed using standard limnological techniques (detailed methods available on the internet at: http://www.slu.se/en/departments/aquatic-sciences-assessment/laboratories/geochemicallaboratory/water-chemical-analyses/) by a certified water analysis laboratory at the Swedish University of Agricultural Sciences. The data are freely available on the Internet at http://www.slu.se/vatten-miljo. Absorbance at 420 nm (D) which is a metric of water color (brownness) was used to calculate absorption coefficients per meter (a, m-1) from the initial measurement: a = (D * 2.303) / L. where L is the optical path length in meters, 0.05 in the case of the monitoring data. We then estimated kd (m^-1) based on the calibration curve reported by Seekell et al. (2015): = kd = 0.3121 + 0.1327a. These values were associated with surface areas from the Swedish lake census (Nisell et al. 2007) using a identification number common to both the Swedish water chemistry and lake census datasets. Finally, the file was trimmed to only include lakes with surface areas greater or equal to 1 hectare and less than or equal to 10 hectares.</p> <p>References:</p> <ul> <li>Nisell, J., A. Lindsjö, and J. Temnerud (2007), Rikstäckande virtuellt vattendrags nätverk för flödesbaserad modellering VIVAN, [In Swedish], Rapport 2007:17, Institutionen för miljöanalys, SLU.</li> <li>Olson DM, Dinerstein E, Wikramanayake ED, Burgess ND, Powell GVN, Underwood EC, D’amico JA, Itoua I, Strand HE, Morrison JC, Loucks CJ, Allnutt TF, Ricketts TH, Kura Y, Lamoreux JF, Wettengel WW, Hedao P, Kassem KR (2001) Terrestrial ecoregions o the world: A new map of life on Earth. <em>BioScience</em> 51:933-938.</li> <li> <p>Karlsson J, Bergström AK, Byström P, Gudasz C, Rodriguez P, Hein C (2015) Terrestrial organic matter input suppresses biomass production in lake ecosystems. <em>Ecology</em> 96:2870-2876. doi: 10.1890/15-0515.1</p> </li> <li> <p>Seekell DA, Lapierre JF, Karlsson J (2015) Trade-offs between light and nutrient availability across gradients of dissolved organic carbon concentration in Swedish lakes: Implications for patterns in primary production. <em>Canadian Journal of Fisheries and Aquatic Sciences</em> 72:1663-1671. doi: 10.1139/cjfas-2015-0187</p> </li> </ul>
Stable Isotope Data for Small Pelagic Fishes across the Northeast U.S. Continental Shelf from 2013-2015
These data represent the carbon and nitrogen stable isotope signatures of small pelagic fishes across the Northeast U.S. Continental Shelf as reported by Suca, J.J., et al. (2018) Feeding dynamics of Northwest Atlantic small pelagic fishes. Progress in Oceanography, 165, 52-62, https://doi.org/10.1016/j.pocean.2018.04.014. The five species of fish in this dataset represent a subset of the species collected in bottom trawls conducted by the NOAA NEFSC Ecosystems Survey Branch from Cape Hatteras to the Gulf of Maine for years 2013-2015. Sampling occurred in the Spring and Fall seasons. Sections of dorsal musculature were analyzed for carbon and nitrogen isotopes using mass spectrometry. Carbon-to-nitrogen isotopic ratios were reported along with the isotopic signatures for carbon and nitrogen respectively. Additionally, a lipid-corrected carbon signature was calculated for the fish muscle tissue. The dataset was supplemented with geospatial and temporal information from NOAA Fisheries trawl databases.
Year 2001, 15 minute measurements of stage, water temperature, conductivity, dissolved oxygen, and pH in a small headwater stream draining a moderate sized, mixed land use (mainly forest) watershed, Fish Brook, Middleton, MA.
During 2001, continuous measurements, every 15 minutes, were made of stage, water temperature, conductivity, dissolved oxygen, and pH in a small headwater stream, Fish Brook, Boxford, MA, draining a moderate sized, mixed land use watershed. Measurements are for part of the ice free season (June – December). Discharge could not be determined due to inadequate rating curve. Several day gaps occur periodically due to removal for recalibration.
Year 2002, 15 minute measurements of stage, water temperature, conductivity, dissolved oxygen, and pH in a small headwater stream draining a moderate sized, mixed land use (mainly forest) watershed, Fish Brook, Middleton, MA.
During 2002, continuous measurements, every 15 minutes, were made of stage, water temperature, conductivity, dissolved oxygen, and pH in a small headwater stream, Fish Brook, Boxford, MA, draining a moderate sized, mixed land use watershed. Measurements are for part of the ice free season (June – December). Discharge could not be determined due to inadequate rating curve and due to beaver activity. Several day gaps occur periodically due to removal for recalibration.
Fig. 2 in Movement and longitudinal distribution of a migratory fish (Salminus brasiliensis) in a small reservoir in southern Brazil
Fig. 2. Total time spent by dourados (Salminus brasiliensis) in the reservoir (Tin), total time spent in an unknown location (Tun) and total time spent outside of the reservoir in a stretch of the upstream Erechim river (Tout). ANOVA with permutation tested for differences among groups (F(2,54) = 87.17; p <0.0002). The numbers above the plots represent the number of individuals. Different letters above the plots represent significant differences according to Tukey's test. Circles represent outlier values; the heavy horizontal line crossing the box is the median; the bottom and top of the box are the lower and upper quartiles, respectively; and the whiskers are the minimum and maximum values.
Fig. 4 in Physical habitat simulation for small-sized characid fish species from tropical rivers in Brazil
Fig. 4. The velocities and depth comparison between the field measurement and the numerical model for points in 50% cros- s-section width of the Velhas reach (a-b) and in 50% width of the Curimataí reach (c-d).
Data for "Examining functional impact and trophic morphology of small, sand-sifting fishes on coral reefs"
<p>This data is the product of the study published as "<strong>Examining functional impact and trophic morphology of small, sand-sifting fishes on coral reefs </strong>"</p> <p>It contains:<br> Feeding depth count of the two fish species used</p> <p>Granulometry on the experimental sediment</p> <p>Gut content analysis of the 8 fish used in the experiment. Measurements of maximum and minimum size of each individual prey item noted.</p> <p>Feeding experiment count data. ID and count data of meiobenthos (benthic meiofauna) found during the feeding experiment. The benthic community was assessed in 3 replicates for each fish individual at each timepoint. See the methods in publications for details or contact the Ole Brodnicke or Camilla Hansen for details. </p>
Fig. 2 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 2: Flowchart of steps and methods followed (AHP: Analytic Hierarchy Process, FM: Fuzzy Membership).
Fig. 7 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 7: Spatial representation of the Fishing pressure index from the small scale coastal fishery (FPc).
Рис. 2. Низина Λевобережья НТТ в виΑе параΛΛеΛьных берегу моря ваΛов и небоΛьших понижений, вытянутых в северо-восточном направΛении, с характерной раститеΛьностью Fig. 2. The lowland of the left Bank of the LRT in the form of parallel to the seashore shafts and small depressions, elongated in a North-Eastern direction, with characteristic vegetation in Transboundary Migration And The Local Constraints In The Dynamic Of Fish Fauna In The Lower Reaches Of Tumannaya River
Рис. 2. Низина Λевобережья НТТ в виΑе параΛΛеΛьных берегу моря ваΛов и небоΛьших понижений, вытянутых в северо-восточном направΛении, с характерной раститеΛьностью Fig. 2. The lowland of the left Bank of the LRT in the form of parallel to the seashore shafts and small depressions, elongated in a North-Eastern direction, with characteristic vegetation
Рис. 5. РаспреΑеΛение рыб в верхнем бьефе воΑохраниΛища по размерным группам в периоΑ осенней миграции. Размеры рыб: а — меΛкие (Αо 10 см); б — среΑние (10–20 см); в — крупные (боΛее 20 см) Fig. 5. Distribution of fish upstream of the reservoir by size during the autumn migration. Fish sizes: а — small (under 10 cm); b — medium (10–20 cm); c — large (exceeding 20 cm) in Dynamics and current status of the Amazar River ichthyofauna after the construction of the PPM «Polyarnaya» hydroelectric complex
Рис. 5. РаспреΑеΛение рыб в верхнем бьефе воΑохраниΛища по размерным группам в периоΑ осенней миграции. Размеры рыб: а — меΛкие (Αо 10 см); б — среΑние (10–20 см); в — крупные (боΛее 20 см) Fig. 5. Distribution of fish upstream of the reservoir by size during the autumn migration. Fish sizes: а — small (under 10 cm); b — medium (10–20 cm); c — large (exceeding 20 cm)
Fig. 1 in Phylogenetic position of the freshwater fish trypanosome, Trypanosoma ophiocephali (Kinetoplastida) inferred from the complete small subunit ribosomal RNA gene sequence
Fig. 1 The neighbor-joining tree of aquatic trypanosomes constructed from complete small subunit ribosomal RNA (SSrRNA) sequences indicating the systematic position of T. ophiocephali and phylogenetic relationships among the aquatic trypanosomes whose sequences are available. T. lewisi, T. theileri, and T. avium are taken as the outgroup. Bootstrap values are shown for the maximum parsimony/neighborjoining/Bayes analyses
Figure 1 in Exploring the dynamics of small pelagic fish catches in the Marmara Sea in relation to changing environmental and bio-optical parameters
Figure 1. Time series of deseasonalised Chl-a, net primary productivity (NPP), and sea surface temperature (SST). Solid lines show the time series, dash-dot lines show the deseasonalised time series, dashed lines indicate their respective nonlinear trends, and flat solid lines show linear trend components.
Figure 2 in Exploring the dynamics of small pelagic fish catches in the Marmara Sea in relation to changing environmental and bio-optical parameters
Figure 2. Time series of fisheries catches (tons) and fishing effort in the Marmara Sea between 2000 and 2019. Flat solid lines indicate linear trends.
FIGURE 6 in Effects of urbanization and environmental heterogeneity on fish assemblages in small streams
FIGURE 6 | Ordination of fish species composition by distance-based redundancy analysis (dbRDA) in relation to environmental heterogeneity (EH; estimated from environmental data and transformed by loge(x) prior to dbRDA) and the proportion of impervious surfaces (ImpSurf). Species codes, 1: Poecilia reticulata; 2: Corydoras aeneus; 3: Phenacogaster jancupa; 4: Astyanax abramis; 5: Hoplias malabaricus; 6: Hypostomus khimaera; 7: Serrapinnus calliurus; 8: S. microdon; 9: Hemigrammus tridens; 10: A. lacustris.
FIGURE 5 in Effects of urbanization and environmental heterogeneity on fish assemblages in small streams
FIGURE 5 | Relationship between the local contribution to beta diversity (LCBD) and the proportion of impervious surfaces in urban streams in Cuiabá. The line indicates fitted values.
FIGURE 4 in Effects of urbanization and environmental heterogeneity on fish assemblages in small streams
FIGURE 4 | Relationship between rarefied species richness (Srarefied) and the proportion of impervious surfaces in urban streams in Cuiabá. The line indicates fitted values.
FIGURE 3 in Effects of urbanization and environmental heterogeneity on fish assemblages in small streams
FIGURE 3 | Spatial variation in rarefied species richness (Srarefied; A) and the local contribution to beta diversity (LCBD; B) in urban streams in Cuiabá (Mato Grosso, Brazil). The circle sizes in the legend indicate the minimum, mean, and maximum values of Srarefied and the LCBD. The arrow in "A" indicates flow direction.
FIGURE 2 in Effects of urbanization and environmental heterogeneity on fish assemblages in small streams
FIGURE 2 | Principal Coordinate Analysis (PCoA) of local environmental variables of streams from the urban area of Cuiabá, Mato Grosso, midwestern Brazil. The symbol sizes are proportional to the environmental heterogeneity (EH); PlaMat: plant matter; GraRoc: gravel and rocks; CanCov: canopy cover.
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.