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
Dataset results
593 results for “fish distribution”
FIGURE 2 in The reef fish assemblage of the Laje de Santos Marine State Park, Southwestern Atlantic: annotated checklist with comments on abundance, distribution, trophic structure, symbiotic associations, and conservation
FIGURE 2. Habitat types found at the Laje de Santos Marine State Park.
Fig. 1 in Effect of abiotic variables on fish eggs and larvae distribution in headwaters of Cuiabá River, Mato Grosso State, Brazil
Fig. 1. Location of the sampling sites. 1= Cuiabazinho River (CBZ I, 14º20'13.8"S 55º29'42.5"W); 2= Cuiabazinho River (CBZ II, 14º25'39.1"S 55º34'28.8"W); 3= Água Fina Stream (AFS, 14º25'50.7"S 55º34'14.5"W); 4= Cuiabazinho Stream (CBS, 14º26'13.8"S 55º36'03.2"W); 5= Cuiabazinho River (CBZ III, 14º37'10.1"S 55º49'50.8"W), 6= Triste Stream (TRS, 14º37'18.2"S 55º49'52.2"W); 7= Cuiabazinho River (CBZ IV, 14º39'15.8"S 56º07'52.2"W); 8= Quebó Stream (QBS, 14º39'14.9"S 56º07'49.3"W).
Fig. 5 in Effect of abiotic variables on fish eggs and larvae distribution in headwaters of Cuiabá River, Mato Grosso State, Brazil
Fig. 5. Principal Components Analysis (PCA) of the matrix of environmental variables recorded in the headwaters of the Cuiabá River in November (N), December 2007 (D), January (J), February (F), and March 2008 (M). Numbers following months represent sites: 1=CBZ I, 2=CBZ II, 3=AFS, 4=CBS, 5=CBZ III, 6=TRS, 7=CBZ IV, 8=QBS. Dark symbols represent collections with highest density of ichthyoplankton.
Fig. 3 in Effect of abiotic variables on fish eggs and larvae distribution in headwaters of Cuiabá River, Mato Grosso State, Brazil
Fig. 3. Values of the regional variables of river level (a), outflow (b), and rainfall (c), obtained in the region of Rosario Oeste between November 2007 and March 2008.
Fig. 4 in Effect of abiotic variables on fish eggs and larvae distribution in headwaters of Cuiabá River, Mato Grosso State, Brazil
Fig. 4. Values of the local variables of temperature and dissolved oxygen (a), pH and electrical conductivity (b), transparency and flow velocity (c), and width and depth (d), obtained in the headwaters of the Cuiabá River between November 2007 and March 2008.
eDNA metabarcoding as a means to assess distribution of subterranean fish communities: Iranian blind cave fishes as a case study
<p>One of the most important steps in conservation of the subterranean life forms is to decipher their distribution and ecology, which is challenging using traditional approaches. Development of an environmental DNA (eDNA) assay provides an efficient means for discovering and monitoring subterranean life forms. In this study, the distribution of three Iranian blind cave fish species (blind Iran cave barb <i>Garra typhlops</i>, blind Lorestan cave barb <i>Garra lorestanensis</i>, and blind cave loach <i>Eidinemacheilus smithi</i>) was assessed using <i>12S rRNA</i> gene eDNA metabarcoding performed using MiFish-U PCR primers and preliminary species distribution modelling (SDM) using bioclimatic data. The majority of sampling localities with positive detection of cave barb eDNA fall within suitable habitats in the Zagros Mountains of Iran. Our results revealed that Lorestan and Iran cave barbs have differential distribution patterns, with some extent of habitat overlap in the vicinity of the originally discovered cave barb locality. According to the observed distribution patterns, the blind Lorestan cave barb and cave loach<i> </i>are mostly distributed in habitats close to the Seazar River (Dez River drainage, Iran), and the blind Iran cave barb is distributed toward the west and probably in a few springs in the Karkheh River drainage. Our data support the previously proposed distribution pattern for the cave barbs, in which the species show partial niche separation and reproductive isolation, with the Lorestan cave barb being a water flow-dependent species and the Iran cave barb being a generalist species preferring variable flow rates. We showed eDNA metabarcoding to be a useful approach for ecological surveys of subterranean fish biodiversity with implications for conservation.</p>
Figure 38 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 38: Examples of Scardinius spp caught in Projet Lac. Upper panel are northern S. erythrophthalmus caught in their native lakes. Upper middle panel are southern S. hesperidicus from their native southern perialpine lakes. Lower middle panel are S. hesperidicus from northern perialpine lakes. Bottom panel are a phenotypic hybrid from Chalain and a backcross hybrid from Zurich, i.e. a phenotypic S. erythrophthalmus that carried S. hesperidicus mitochondrial DNA. * indicates that the identity was confirmed by DNA barcoding.
Figure 61 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 61: Two gillnet protocols used to sample all major lake habitats. The European standard, also called the CEN protocol, uses separate, horizontally-oriented nets to sample the benthic and pelagic zones. The vertical protocol uses columns of nets that simultaneously sample the fish community from the surface to the lake floor.
Figure 52 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 52: Stickleback were dramatically larger in Upper Lake Constance compared to other lakes. Length frequency distribution of all Gasterosteus spp caught in Projet Lac. Scaled photos on the right show one of the larger individuals from each lake.
Figure 40 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 40: The three different Phoxinus species recorded in Projet Lac. P. septimaniae from lakes Chalain and Poschiavo. P. csikii from lakes Thun, Lucerne, Walen. P. lumaireul from Lake Garda.
Figure 31 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 31: Four adult Gobio caught in Upper Lake Constance in the same electrofishing action near the mouth of the Rhein-
Figure 30 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 30: Underwater image of a fish very likely to be Rutilus pigus in Lake Maggiore. The photo was taken during Projet Lac sampling. The fish was mixed into a shoal of Rutilus rutilus, several individuals of which can be seen in the background.
Figure 31 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 31: Four adult Gobio caught in Upper Lake Constance in the same electrofishing action near the mouth of the Rhein- taler Binnenkanal. Genetic barcoding revealed that two individuals had the mitochondrial DNA of Gobio gobio (upper) and two of Gobio obtusirostris (lower).
Figure 25 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 25: Left panel compares the "uniqueness" of the fish community to the number of native species to reveal outlier lakes with particularly "unique" fish assemblages for their size (lakes above the dashed line). Sils and Poschiavo were severe outliers and were excluded from estimation of the fitline and calculation of residuals. Sils was the only lake surveyed in the Danube catchment and Poschiavo was the only high-altitude lake surveyed in the Po catchment. Hence they shared few of their species with other lakes. Right panel shows that the uniqueness of the lake fish community relative to the number of recorded native fish species (i.e. residuals from the relationship in the left panel) decreased with the maximum total phosphorus that had been measured in the lake in the past (R2 = 0.248, p = 0.013). Relationships of the residuals with other lake characteristics (lake surface area, lake maximum depth, present-day phosphorus) were not significant (Figure 83).
Figure 4 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 4: Estimate of phylogenetic relationships based on COI sequence variation between fish species caught in Projet Lac: endemic species, species native in at least some surveyed lakes, species non-native in some lakes, exotic species.
Figure 13 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 13: Species-area relationships for lakes in the Rhine catchment when, additionally to the species recorded in Projet Lac, all known recently extant, and all known extinct and locally extirpated species are included. Left panel: dark green = native species, but each species radiatation only counted as one taxon, medium green = all native species, i.e. counting each radiation species separately, light green = endemic species only. Right panel: black = total number of present-day fish species (species recorded in Projet Lac, plus other species recorded in the lake in other recent surveys), orange = non-native and exotic species (species recorded in Projet Lac, plus other species recorded in the lake in other recent surveys but excluding species that have failed to establish self-sustaining populations), red = extinct and extirpated native species. Regression statistics are provided in Table 9.
Figure 18 in Diversity, distribution and community composition of fish in perialpine lakes – "Projet Lac" synthesis report
Figure 18: Zone of low oxygen in Lower Lake Zurich has been increasing in severity and vertical extent since around 1990, offsetting gains of oxygenated deepwater habitat that would otherwise be associated with the reduction of eutrophication. Severe hypoxia also occurred between 1940 and 1960 and is believed to be caused by a combination of elevated nutrients and inverse stratification in winter during this period [50]. Isobars for dissolved oxygen concentrations of 1 and 4 mg/L are indicated. Data source: Canton Zurich, Amt für Abfall, Wasser, Energie und Luft (AWEL) and Wasserversorgung Zurich. Black bars on the right side: depth distribution of Projet Lac fish catches by abundance (net per unit effort catch).
FIGURE 54 in Ichthyodiversity in southeastern Arabian Peninsula: Annotated checklist taxonomy, short description and distribution of Inland fishes of Oman
FIGURE 54. Terapon jarbua, Oman: Hasik.
FIGURE 40 in Ichthyodiversity in southeastern Arabian Peninsula: Annotated checklist taxonomy, short description and distribution of Inland fishes of Oman
FIGURE 40. Glossogobius tenuiformis, Oman: Wadi Shab.
FIGURE 46 in Ichthyodiversity in southeastern Arabian Peninsula: Annotated checklist taxonomy, short description and distribution of Inland fishes of Oman
FIGURE 46. Oreochromis niloticus, an exotic and established fish in Oman (e.g., Wadi Arabieen).
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.