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 “Neotropical freshwater fishes”
Fig. 6 in Plasticity in the shape and growth pattern of asteriscus otolith of black prochilodus Prochilodus nigricans (Teleostei: Characiformes: Prochilodontidae) freshwater Neotropical migratory fish
Fig. 6. Regressions between radius of each increments and increments growth estimated in Prochilodus nigricans from Solimões (red), Japurá (blue) and Negro (black) Amazon Basin, Brazil.
Fig. 5 in Plasticity in the shape and growth pattern of asteriscus otolith of black prochilodus Prochilodus nigricans (Teleostei: Characiformes: Prochilodontidae) freshwater Neotropical migratory fish
Fig. 5. Canonical variate analysis of the organized data of the analysis cluster. Representation the four different morphotypes of asteriscus otoliths of Prochilodus nigricans. (red cross) Morphotype 3; (blue square) Morphotype 2; (purple asterisk) Morphotype 4; (green ex) Morphotype 1.
Fig. 4 in Plasticity in the shape and growth pattern of asteriscus otolith of black prochilodus Prochilodus nigricans (Teleostei: Characiformes: Prochilodontidae) freshwater Neotropical migratory fish
Fig. 4. Four morphotype asteriscus otolith Prochilodus nigricans established by cluster analysis from the amplitudes of wavelets. a. morphotype 1; b. morphotype 2; c. morphotype 3 and d. morphotype 4 respectively, sampled of rivers Solimões, Japurá and Negro. Scale bars: 1 mm.
Fig. 1 in Plasticity in the shape and growth pattern of asteriscus otolith of black prochilodus Prochilodus nigricans (Teleostei: Characiformes: Prochilodontidae) freshwater Neotropical migratory fish
Fig. 1. Partial map of the Amazon basin showing the study area where Prochilodus nigricans were collected. Rivers: Solimões, Japurá and Negro, Brazil.
FIGURE 2 in Human impacts and the loss of Neotropical freshwater fish diversity
FIGURE 2 | Geographical distribution of studies published in this Special Issue of Neotropical Ichthyology. Colors indicate the type of impact. Five papers are not shown in the map, because they covered large spatial extents (i.e., whole basins or the Neotropical region).
FIGURE 1 in Human impacts and the loss of Neotropical freshwater fish diversity
FIGURE 1 | Gender of authors in this Special Issue of Neotropical Ichthyology, considering all authors (n = 107) and the first author of each paper (n = 22).
FIGURE 3 in Human impacts and the loss of Neotropical freshwater fish diversity
FIGURE 3 | Main human stressors associated with the loss of Neotropical freshwater fishes, investigated by studies published in this Special Issue of Neotropical Ichthyology.
FIGURE 5 in Assessing extinction risk from geographic distribution data in Neotropical freshwater fishes
FIGURE 5 | Collection points for 442 threatened Neotropical freshwater fishes (NFF) colored by elevation and sized by species' description year. Threatened NFF species are often those described decades ago, with range-restricted distributions in the upland rivers of the Brazilian Shield and the Colombian Andes, and coastal Atlantic and Caribbean drainages. CR: Critically Endangered; EN: Endangered; VU: Vulnerable; DD: Data Deficient (gray). Data for 4,412 localities with geographic coordinates.
FIGURE 6 in Assessing extinction risk from geographic distribution data in Neotropical freshwater fishes
FIGURE 6 | Collection points for 671 potentially threatened Neotropical Freshwater Fishes (NFF). Potentially threatened NFF species predicted by the ConR package using EOO estimates are usually distributed outside protected areas (e.g., national parks, indigenous lands: green) and more often located in the upland rivers of the northern, central and southern Andes, and Eastern Guiana Shield. CR: Critically Endangered; EN: Endangered; VU: Vulnerable; LC or NT: Least Concern or Near Threatened; DD: Data Deficient. Data for 4,412 localities with geographic coordinates. Protected areas (green) from: https://www.protectedplanet.net.
FIGURE 2 in Assessing extinction risk from geographic distribution data in Neotropical freshwater fishes
FIGURE 2 | Extinction risks in 3,001 Neotropical freshwater fishes (NFF). On average, 14% (422 of 3,001) NFF species are classified by the IUCN Red List (RL) as Vulnerable (VU), Endangered (EN) or Critically Endangered (CR). Extinction risks are relatively similar among the orders Characiformes (8.2%), Siluriformes (10.8%), Cichliformes (10.0%), and Gymnotiformes (14.9%). An exception is the clade Cyprinodontiformes, where about 48% of species are classified as either VU, EN, or CR. LC or NT: Least Concern or Near Threatened; DD: Data Deficient.
FIGURE 4 in Assessing extinction risk from geographic distribution data in Neotropical freshwater fishes
FIGURE 4 | Collection points for 442 threatened Neotropical freshwater fishes (NFF). Threatened NFF species classified by the IUCN Red List (RL) are often distributed in the upland rivers of the Brazilian Shield and the Colombian Andes, and coastal Atlantic and Caribbean drainages. CR: Critically Endangered; EN: Endangered; VU: Vulnerable; DD: Data Deficient. Data for 4,412 localities with geographic coordinates.
FIGURE 3 in Assessing extinction risk from geographic distribution data in Neotropical freshwater fishes
FIGURE 3 | Association among three variables and extinction risks in 3,001 Neotropical freshwater fishes (NFF). A. IUCN-Red List (RL) threat categories by species description dates. B. Species description dates by taxonomic orders. C. IUCN-RL categories by geographic ranges. D. Geographic ranges by taxonomic orders. E. IUCN-RL categories by elevation ranges. F. Elevational ranges by taxonomic orders. Threatened status are usually higher for recently described NFF species, those inhabiting narrow geographic ranges, and those confined to upland river drainages. CR: Critically Endangered; EN: Endangered; VU: Vulnerable; DD: Data Deficient.
FIGURE 1 in Assessing extinction risk from geographic distribution data in Neotropical freshwater fishes
FIGURE 1 | Sample of the phenotypic diversity of Neotropical freshwater fishes. Upper left to lower right: Lycengraulis grossidens (Spix & Agassiz, 1829); Hyphessobrycon hexastichos Bertaco & Carvalho, 2005; Geophagus neambi Lucinda, Lucena & Assis, 2010; Crenicichla lepidota Heckel, 1840; Trachelyopterus galeatus (Linnaeus, 1766); Anablepsoides xinguensis (Costa, 2010); Abramites hypselonotus (Günther 1868); Pituna xinguensis Costa & Nielsen, 2007; Gymnotus cuia Craig, Malabarba, Crampton & Albert, 2018; Apteronotus caudimaculosus de Santana, 2003; Colomesus tocantinensis Amaral, Brito, Silva & Carvalho, 2013; Corydoras britskii (Nijssen & Isbrücker, 1983). Species not shown in scale.
FIGURE 1 in Negative impacts of mining on Neotropical freshwater fishes
FIGURE 1 | Dead fishes (characiforms, cichliforms, and siluriforms) after crude oil spilled in waterbody of the Amazon River basin. Credits to Barbara Fraser.
Time-calibrated phylogeny of Neotropical Freshwater Fishes
<p>The Neotropical Freshwater Fish (NFF) fauna exhibits the greatest phenotypic disparity and species richness among all continental aquatic vertebrate faunas, with more than 6,345 species distributed across the mostly tropical regions of Central and South America. The two several decades have seen a proliferation of molecular phylogenies, often at the species level, covering almost all 875 valid NFF genera. This study presents the most comprehensive genome-wide, time-calibrated phylogenetic hypothesis of NFF species to date, based on DNA sequences generated over decades through collaborative efforts of the multinational ichthyological research community. Our purpose is to compile an extensive dataset and organize it systematically, allowing for continuous refinement and expansion, thereby enabling researchers to evaluate macroevolutionary hypotheses in the NFF. Using thousands of DNA sequences from dozens of studies, we compiled a supermatrix of 51 markers across 5,984 taxa, comprising 3,167 species representing 50% of NFF species, and estimating divergence times based on a fossil-calibrated phylogenomic tree of fishes. We used this dataset to infer the most species-rich time-calibrated phylogeny of the NFF taxa to date, summarizing the collective efforts of the ichthyological research community since the midpoint of the last century. We hope this dataset provides a framework for forthcoming evolutionary studies of the NFF fauna, documenting macro-scale patterns in the world's most diverse continental vertebrate fauna.</p>
Data from: Landscape evolution drives continental diversification in Neotropical freshwater fishes of the family Erythrinidae (Teleostei, Characiformes)
Open the record for dataset details and reuse information.
Data from: Phylogenomics of Characidae, a hyper-diverse Neotropical freshwater fish lineage, with a phylogenetic classification including four families (Teleostei: Characiformes)
Open the record for dataset details and reuse information.
FIGURE 4 in Areas of endemism for Anablepidae (Teleostei: Cyprinodontiformes): A monophyletic family of freshwater fishes in the Neotropics
FIGURE 4. Consensus areas of endemism (CAs) delimited for Anablepidae by endemicity analysis with grid size of 1.5º.
Riverscape properties contribute to the origin and structure of a hybrid zone in a Neotropical freshwater fish
Understanding the structure of hybrid zones provides valuable insights about species boundaries and speciation, such as the evolution of barriers to gene flow and the strength of selection. In river networks, studying evolutionary processes in hybrid zones can be especially challenging, given the influence of past and current river properties along with biological species-specific traits. Here, we suggest that a natural hybrid zone between two divergent lineages of the sexually dimorphic Neotropical fish Nematocharax venustus was probably established by secondary contact as a result of a river capture event between the Contas and Pardo river basins. This putative river capture is supported by hydrogeological evidence of elbows of capture, wind gaps, and geological faults. The morphological (color pattern) and genetic (mtDNA and RADseq) variation reveal a clinal transition between parental lineages along the main river, with predominance of F2 hybrids at the centre of the hybrid zone, absence of early generation backcrosses, and different levels of hybridization in the tributaries. We highlight that different sources of information are crucial for understanding how the riverscape spatial history influences the connectivity between and within rivers systems and, consequently, the dynamics of gene flow between freshwater lineages/species.
Data from: Assessing species boundaries using multilocus species delimitation in a morphologically conserved group of Neotropical freshwater fishes, the Poecilia sphenops species complex (Poeciliidae)
Accurately delimiting species is fundamentally important for understanding species diversity and distributions and devising effective strategies to conserve biodiversity. However, species delimitation is problematic in many taxa, including 'non-adaptive radiations' containing morphologically cryptic lineages. Fortunately, coalescent-based species delimitation methods hold promise for objectively estimating species limits in such radiations, using multilocus genetic data. Using coalescent-based approaches, we delimit species and infer evolutionary relationships in a morphologically conserved group of Central American freshwater fishes, the Poecilia sphenops species complex. Phylogenetic analyses of multiple genetic markers (sequences of two mitochondrial DNA genes and five nuclear loci) from 10/15 species and genetic lineages recognized in the group support the P. sphenops species complex as monophyletic with respect to outgroups, with eight mitochondrial 'major-lineages' diverged by ≥2% pairwise genetic distances. From general mixed Yule-coalescent models, we discovered (conservatively) 10 species within our concatenated mitochondrial DNA dataset, 9 of which were strongly supported by subsequent multilocus Bayesian species delimitation and species tree analyses. Results suggested species-level diversity is underestimated or overestimated by at least ~15% in different lineages in the complex. Nonparametric statistics and coalescent simulations indicate genealogical discordance among our gene tree results has mainly derived from interspecific hybridization in the nuclear genome. However, mitochondrial DNA show little evidence for introgression, and our species delimitation results appear robust to effects of this process. Overall, our findings support the utility of combining multiple lines of genetic evidence and broad phylogeographical sampling to discover and validate species using coalescent-based methods. Our study also highlights the importance of testing for hybridization versus incomplete lineage sorting, which aids inference of not only species limits but also evolutionary processes influencing genetic diversity.
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.