Skip to main content
Powered by ShareScore

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.

593

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

593 results for “fish distribution”

Learn how ShareScore rates datasets ↗
zenodo40/100

FIG. 18. Longitudinal correspondence among Amazonian Shield versants. A in The Fishes Of The Amazon: Distribution And Biogeographical Patterns, With A Comprehensive List Of Species

FIG. 18. Longitudinal correspondence among Amazonian Shield versants. A. Red area delimits the distribution pattern of western basins (Trombetas and Tapajós); yellow area the western basins pattern (Jari, Xingu, and Tocantins). B. Sartor gr. elongatus (records from MZUSP). C. Bryconexodon spp. (records from MZUSP). D. Bivibranchia velox (records from MZUSP).

opencc-by-4.0Jun 2019View details →
zenodo40/100

FIG. 6. Amazon Core. A. Yellow area delimits the distribution pattern. B in The Fishes Of The Amazon: Distribution And Biogeographical Patterns, With A Comprehensive List Of Species

FIG. 6. Amazon Core. A. Yellow area delimits the distribution pattern. B. Boullengerella spp. (data from Vari (1995) with additional records from MZUSP). C. Moenkhausia collettii (records from MZUSP). D. Moenkhausia oligolepis (records from MZUSP).

opencc-by-4.0Jun 2019View details →
zenodo40/100

FIG. 17 in The Fishes Of The Amazon: Distribution And Biogeographical Patterns, With A Comprehensive List Of Species

FIG. 17. Guiana Shield (Atlantic and Amazonian versants). A. Yellow area delimits the distribution pattern. B. Pseudancistrus brevispinis (data fom Cardoso and Montoya-Burgos, 2009).

opencc-by-4.0Jun 2019View details →
zenodo40/100

FIG. 14. Eastern Amazon. A in The Fishes Of The Amazon: Distribution And Biogeographical Patterns, With A Comprehensive List Of Species

FIG. 14. Eastern Amazon. A. Yellow area delimits the distribution pattern (wavy line represents position of Purus Arch). B. Aphanothorolus emarginatus (data from Ray and Armbruster, 2016). C. Pachyurus junki (records from MZUSP). D. Synaptolaemus latofasciatus (data from Britski et al., 2011).

opencc-by-4.0Jun 2019View details →
zenodo40/100

Figure 4 in Occurrence and distribution of tetraodontiform fishes of the Andaman and Nicobar Islands, India

Figure 4. Non-randomized cumulative species accumulation curves with sites ordered from southern Nicobar to northern Andaman Islands. The reported number of species was highest at sites located at Nicobar and South Andaman regions, where they contribute to 17 out of the 25 species reported. Among islands towards higher latitudes, the curve shows an increase at the Japanese bunker site after which only 3 species were added to the curve for 39 sampled islands in middle and North Andaman regions.

opencc-by-4.0Jun 2018View details →
zenodo40/100

Figure 3 in Occurrence and distribution of tetraodontiform fishes of the Andaman and Nicobar Islands, India

Figure 3. Some species of fish belonging to the order Tetraodontiformes from the Andaman and Nicobar Islands. A. Oxymonacanthus longirostris. B. Ostracion cubicus. C. Ostracion melegris.D. Arothron nigropunctatus. E. Arothron stellatus. F. Canthigaster petersii.

opencc-by-4.0Jun 2018View details →
zenodo40/100

Fig. 6 in Spatio-temporal segregation and size distribution of fish assemblages as related to non-native species occurrence in the middle rio Doce Valley, MG, Brazil

Fig. 6. Least-square means and 95% confidence intervals from ANCOVA of the first three environmental factors from PCA. Different markers represent significantly different means as detected by planned contrasts with 5% significance level, first comparing lakes with any non-native species with those without them, and then comparing the two categories of lakes with non-natives (non-piscivores vs. piscivores).

opencc-by-4.0Mar 2011View details →
zenodo40/100

Fig. 4 in Spatio-temporal segregation and size distribution of fish assemblages as related to non-native species occurrence in the middle rio Doce Valley, MG, Brazil

Fig. 4. Scatterplot of species body size (mean standard length) vs. a relative index of native affinity to lakes containing piscivorous invaders (the proportion of biomass of a given native species in lakes with piscivorous invaders). The estimated regression line is also presented (Y = 0.044*X - 0.279; R2 = 0.443; p = 0.007). Species codes: ast = Astyanax sp.; aus = Australoheros facetus; cyp = Cyphocharax gilbert; cre = Crenicichla lacustris; geo = Geophagus brasiliensis; gym = Gymnotus gr. carapo; hop = Hoplias malabaricus; lep = Leporinus steindachneri; lor = Loricariidae (unidentified species); lyc = Lycengraulis sp.; moe = Moenkhausia doceana; oli = Oligosarcus solitarius; pac = Pachyurus adspersus; pro = Prochilodus vimboides; tra = Trachelyopterus striatulus.

opencc-by-4.0Mar 2011View details →
zenodo40/100

Fig. 5 in Spatio-temporal segregation and size distribution of fish assemblages as related to non-native species occurrence in the middle rio Doce Valley, MG, Brazil

Fig. 5. Least-square means and 95% confidence intervals from ANCOVA of mean individual size and temporal turnover as related to the three lake categories. Different markers represent significantly different means as detected by planned contrasts with 5% significance level, first comparing lakes with any non-native species with those without them, and then comparing the two categories of lakes with non-natives (non-piscivores vs. piscivores).

opencc-by-4.0Mar 2011View details →
zenodo40/100

Fig. 2 in Spatio-temporal segregation and size distribution of fish assemblages as related to non-native species occurrence in the middle rio Doce Valley, MG, Brazil

Fig. 2. Alpha (mean) and beta richness. a) Comparison among the temporal and spatial components of richness. b) Species richness for each lake. The alpha (mean) and beta richness were taken along the temporal component. Lake codes: No = Nova; Ca = Capim; Fe = Ferrugem; Cr = Crentes; Po = Poço Redondo; Ro = Romoalda; Ti = Timburé; Ag = Águas Claras; Pa = Palmeirinha; Ar = Ariranha. "Natives" represents lakes without non-native species; "Non-piscivores" represents lakes with non-piscivorous non-native species; "Piscivores" represents lakes with invasive piscivorous species.

opencc-by-4.0Mar 2011View details →
zenodo40/100

Fig. 8 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil

Fig. 8. Mean fish larvae density as a function of Rotifera and Copepoda density in marginal lagoons along the Cuiabá River between December 2006 and April 2007.

opencc-by-4.0Feb 2010View details →
zenodo40/100

Fig. 6 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil

Fig. 6. Correlation of the mean density of fish larvae with: (a) Mean depth of the lagoons during the sampled periods; (b) Fluviometric level of the Cuiabá River during those periods; (c) Mean zooplankton density during those periods; and (d) Mean water transparency of the lagoons during the sampling periods.

opencc-by-4.0Feb 2010View details →
zenodo40/100

Fig. 3 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil

Fig. 3. Spatial distribution of fish larvae in marginal lagoons along the Cuiabá River in December 2006 as a function of: (a) Sampling point (1 = entrance, 2 = middle, 3 = end of lagoon, 1.1 = entrance of channel and 1.2 = end of channel, only in lagoons that present this characteristic); (b) Frequency of occurrence of the four taxa with the highest densities; and (c) Developmental stages.

opencc-by-4.0Feb 2010View details →
zenodo40/100

Fig. 1 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil

Fig. 1. Location of sampling sites in the floodplain of Cuiabá River, Pantanal, Mato Grosso State, Brazil.

opencc-by-4.0Feb 2010View details →
zenodo40/100

Fig. 2 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil

Fig. 2. Spatial distribution of fish larvae in marginal lagoons along the Cuiabá River in December 2006.

opencc-by-4.0Feb 2010View details →
zenodo40/100

Fig. 4 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil

Fig. 4. Temporal distribution of fish larvae in marginal lagoons along the Cuiabá River between December 2006 and April 2007.

opencc-by-4.0Feb 2010View details →
zenodo40/100

Fig. 2 in Influence of the riparian zone phytophysiognomies on the longitudinal distribution of fishes: evidence from a Brazilian savanna stream

Fig. 2. Two-dimension ordinations based on Jaccard similarity coefficient (a) and on Bray-Curtis (b), considering the ten samples from the wet and dry seasons from the Correntes stream, central west Brazil.

opencc-by-4.0Mar 2010View details →
zenodo40/100

Fig. 1 in Influence of the riparian zone phytophysiognomies on the longitudinal distribution of fishes: evidence from a Brazilian savanna stream

Fig. 1. Map showing localization of the sampled reaches of Correntes stream in the plateau region of the Paraguay basin, Mato Grosso do Sul State, Brazil.

opencc-by-4.0Mar 2010View details →
zenodo40/100

Fig. 7 in Spatial and temporal distribution of fish larvae in marginal lagoons of Pantanal, Mato Grosso State, Brazil

Fig. 7. Correlation of the mean larval density and precipitation in marginal lagoons along the Cuiabá River between December 2006 and April 2007.

opencc-by-4.0Feb 2010View details →
zenodo40/100

Fig. 3 in Mercury distribution in different tissues and trophic levels of fish from a tropical reservoir, Brazil

Fig. 3. Mean concentrations and ratios of mercury in different tissues of omnivorous (a), carnivorous (b), and detritivorous fishes (c) collected from Vigário Reservoir. Error bars represent one standard deviation of the mean.

opencc-by-4.0Dec 2009View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.