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Figure 7 from: Bayçelebi E (2020) Distribution and diversity of fish from Seyhan, Ceyhan and Orontes river systems. Zoosystematics and Evolution 96(2): 747-767. https://doi.org/10.3897/zse.96.55837
Figure 7 Fishes of the northeastern Mediterranean Sea Basin of Turkey. a.Anguilla anguilla, Orontes River-I; b.Mystus pelusius, Lake Balık; c.Silurus glanis, Seyhan Dam Lake; d.Clarias gariepinus, stream Afrin-III; e.Esox Lucius, stream Pınarbaşı; f.Atherina boyeri, Lake Gölbaşı; g.Gambusia holbrooki, spring Çöçelli; h.Sander lucioperca Seyhan Dam Lake; i.Planiliza abu, stream Afrin-I; j.Salaria fluviatilis, stream Çakıtsuyu-I.
Figure 6 from: Bayçelebi E (2020) Distribution and diversity of fish from Seyhan, Ceyhan and Orontes river systems. Zoosystematics and Evolution 96(2): 747-767. https://doi.org/10.3897/zse.96.55837
Figure 6 Salmonidae species of the northeastern Mediterranean Sea Basin of Turkey. a.Salmo chilo, stream Human; b.S. labecula, stream Ecemiş; c.S. opimus, stream Fırnız; d.S. platycephalus, stream Pınarbaşı; e.Oncorhynchus mykiss, Seyhan Dam Lake.
Figure 4 from: Bayçelebi E (2020) Distribution and diversity of fish from Seyhan, Ceyhan and Orontes river systems. Zoosystematics and Evolution 96(2): 747-767. https://doi.org/10.3897/zse.96.55837
Figure 4 Cobitidae species of the northeastern Mediterranean Sea Basin of Turkey and Syria. a.Cobitis aliyeae, stream Üçürgesuyu-I; b.C. anabelae, stream Karasu-I; c.C. erkakanae, stream Aksu-IV, connecting Lakes Gölbaşı photo: JF; d.C. evreni, stream Göksun-I; e.C. levantina, stream Nahr al Barid photo: JF.
Figure 5 from: Bayçelebi E (2020) Distribution and diversity of fish from Seyhan, Ceyhan and Orontes river systems. Zoosystematics and Evolution 96(2): 747-767. https://doi.org/10.3897/zse.96.55837
Figure 5 Nemacheilidae species of the northeastern Mediterranean Sea Basin of Turkey. a.Oxynoemacheilus ceyhanensis, stream Göksun-II; b.O. cilicicus, stream Eğlence; c.O. evreni, Lake Gölbaşı; d.O. hamwii, stream Karasu-II; e.O. namiri, stream Hanne; f.O. samanticus, stream Sarnaz; g.O. seyhanensis, stream Zamantı-II photo: JF; h.O. seyhanicola, stream Eğlence.
Figure 2 from: Bayçelebi E (2020) Distribution and diversity of fish from Seyhan, Ceyhan and Orontes river systems. Zoosystematics and Evolution 96(2): 747-767. https://doi.org/10.3897/zse.96.55837
Figure 2 Cyprinidae species of the northeastern Mediterranean Sea Basin of Turkey and Syria. a.Capoeta barroisi, stream Karasu-II; b.C. damascina, stream Karasu-II; c.C. erhani, stream Aksu-III; d.Carasobarbus chantrei, Lake Balık; e.Carassius gibelio, stream Karasu-II; f.Cyprinus carpio, stream Karasu-II; g.Garra caudomaculata stream Karasu-I; h.G. culiciphaga, stream Aksu-II; i.Garra sp. Stream Hanne; j.G. turcica, stream Üçürgesuyu-I; k.G. variabilis, stream Nahr al Barid photo: JF; l.Luciobarbus pectoralis, stream Aksu-II.
Figure 3 from: Bayçelebi E (2020) Distribution and diversity of fish from Seyhan, Ceyhan and Orontes river systems. Zoosystematics and Evolution 96(2): 747-767. https://doi.org/10.3897/zse.96.55837
Figure 3 Leuciscidae species of the northeastern Mediterranean Sea Basin of Turkey. a.Acanthobrama orontis, Seyhan Dam Lake; b.A. thisbeae, stream Afrin; c.Alburnus kotschyi, stream Üçürgesuyu-III; d.A. magnificus, stream Bedirge; e.A. orontis, stream Karasu-II; f.A. sellal, Lake Gölbaşı; g.Chondrostoma kinzelbachi, stream Karasu-I; h.C. ceyhanensis, stream Karasu-V; i.Leuciscus vorax, Orontes River-VII photo: JF; j.Pseudophoxinus cilicicus, stream Karasu-V; k.P. firati, spring Karahalka; l.P. libani, Lake Balık; mP. turani, stream İncesu; n.P. zekayi, Lake Gölbaşı; o.P. zeregi, stream Hanne; p.Squalius adanaensis, stream Üçürgesuyu-I; r.S. seyhanensis, stream Zamantı-II; s.S. kottelati; stream Karasu-II.
Figure 10 from: Bayçelebi E (2020) Distribution and diversity of fish from Seyhan, Ceyhan and Orontes river systems. Zoosystematics and Evolution 96(2): 747-767. https://doi.org/10.3897/zse.96.55837
Figure 10 Views from the Seyhan, Ceyhan and Orontes River drainages, representative of habitat. a. Stream Eğlence (Seyhan); b. Stream Üçürge (Seyhan); c. Stream Aksu-III (Ceyhan); d. Spring Çöçelli (Ceyhan); e. Stream Karasu-I (Orontes); f. Lake Balık (Orontes).
Adaptation to herbivory and detritivory drives the convergent evolution of large abdominal cavities in a diverse freshwater fish radiation (Otophysi: Characiformes)
<p>Convergent evolution is often interpreted as evidence of natural selection favoring an optimal phenotype during adaptation. Morphological convergence is frequently found among lineages that converge on diet, but most studies have focused on morphological traits that relate exclusively to food handling and processing. In vertebrates, there is a strong inverse relationship between intestine length and trophic level. However, little is known about whether adaptation to a low trophic level influences the evolution of abdominal cavities that can accommodate larger intestines. Here, I reconstruct the evolutionary history of trophic ecology and examine abdominal cavity shape across 157 species of the fish order Characiformes to determine whether adaptation to an herbivorous-detritivorous diet drives convergent evolution of large abdominal cavities. Herbivorous-detritivorous species evolved significantly larger abdominal cavities than other trophic groups and repeatedly converged on a similar abdominal cavity morphology. Other trophic groups evolved abdominal cavity morphologies either stochastically or by selective pressures from an untested ecological character. These findings demonstrate that the selective demands of a larger intestinal tract promote the repeated convergence of a large abdominal cavity within herbivorous-detritivorous characiform fishes, while allowing other lineages to evolve randomly or adapt in response to other selection pressures, contributing to the overall body shape diversity of the order.</p>
Supplementary material 3 from: Manjarrés-Hernández A, Guisande C, García-Roselló E, Heine J, Pelayo-Villamil P, Pérez-Costas E, González-Vilas L, González-Dacosta J, R. Duque S, Granado-Lorencio C, Lobo JM (2021) Predicting the effects of climate change on future freshwater fish diversity at global scale. Nature Conservation 43: 1-24. https://doi.org/10.3897/natureconservation.43.58997
Appendix 2
Supplementary material 4 from: Manjarrés-Hernández A, Guisande C, García-Roselló E, Heine J, Pelayo-Villamil P, Pérez-Costas E, González-Vilas L, González-Dacosta J, R. Duque S, Granado-Lorencio C, Lobo JM (2021) Predicting the effects of climate change on future freshwater fish diversity at global scale. Nature Conservation 43: 1-24. https://doi.org/10.3897/natureconservation.43.58997
Appendix 3
Supplementary material 1 from: Manjarrés-Hernández A, Guisande C, García-Roselló E, Heine J, Pelayo-Villamil P, Pérez-Costas E, González-Vilas L, González-Dacosta J, R. Duque S, Granado-Lorencio C, Lobo JM (2021) Predicting the effects of climate change on future freshwater fish diversity at global scale. Nature Conservation 43: 1-24. https://doi.org/10.3897/natureconservation.43.58997
Appendix 1
Supplementary material 2 from: Manjarrés-Hernández A, Guisande C, García-Roselló E, Heine J, Pelayo-Villamil P, Pérez-Costas E, González-Vilas L, González-Dacosta J, R. Duque S, Granado-Lorencio C, Lobo JM (2021) Predicting the effects of climate change on future freshwater fish diversity at global scale. Nature Conservation 43: 1-24. https://doi.org/10.3897/natureconservation.43.58997
Table S1
Human-induced habitat fragmentation effects on connectivity, diversity and population persistence of an endemic fish, Percilia irwini, in the Biobío river basin (Chile)
<p> </p> <p>An understanding of how genetic variability is distributed in space is fundamental for the conservation and maintenance of diversity in spatially fragmented and vulnerable populations. While fragmentation can occur from natural barriers it can also be exacerbated by anthropogenic activities such as hydroelectric power plant development. Whatever the source, fragmentation can have significant ecological effects, including the disruptions of migratory processes and gene flow among populations. In Chile, the Biobío river basin exhibits a high degree of habitat fragmentation due to the numerous hydroelectric power plants in operation, the number of which is expected to increase following new renewable energy use strategies. Here, we assessed the effects of different kinds of barriers on the genetic structure of the endemic freshwater fish <em>Percilia irwini</em>, knowledge that is critically needed to inform conservation strategies in light of current and anticipated further fragmentation initiatives in the system. We identified 8 genetic units throughout the entire Biobío system with high effective sizes. A reduced effective size estimate was however observed in a single population located between two impassable barriers. Both natural waterfalls and human made dams were important drivers of population differentiation in this system, however, dams affect genetic diversity differentially depending on their mode of operation. Evidence of population extirpation was found in two river stretches limited by upstream and downstream dams. Significant gene flow in both directions was found among populations not separated by natural or anthropogenic barriers. Our results suggest a significant vulnerability of <em>P. irwini </em>populations to future dam development and demonstrate the importance of studying basin-wide data sets with genetic metrics to understand the strength and direction of anthropogenic impacts on fish populations.</p>
Data from: Molecular diversity of Germany's freshwater fishes and lampreys assessed by DNA barcoding
This study represents the first comprehensive molecular assessment of freshwater fishes and lampreys from Germany. We analysed COI sequences for almost 80% of the species mentioned in the current German Red List. In total, 1056 DNA barcodes belonging to 92 species from all major drainages were used to (i) build a reliable DNA barcode reference library, (ii) test for phylogeographic patterns, (iii) check for the presence of barcode gaps between species and (iv) evaluate the performance of the barcode index number (BIN) system, available on the Barcode of Life Data Systems. For over 78% of all analysed species, DNA barcodes are a reliable means for identification, indicated by the presence of barcode gaps. An overlap between intra- and interspecific genetic distances was present in 19 species, six of which belong to the genus Coregonus. The Neighbour-Joining phenogram showed 60 nonoverlapping species clusters and three singleton species, which were related to 63 separate BIN numbers. Furthermore, Barbatula barbatula, Leucaspius delineatus, Phoxinus phoxinus and Squalius cephalus exhibited remarkable levels of cryptic diversity. In contrast, 11 clusters showed haplotype sharing, or low levels of divergence between species, hindering reliable identification. The analysis of our barcode library together with public data resulted in 89 BINs, of which 56% showed taxonomic conflicts. Most of these conflicts were caused by the use of synonymies, inadequate taxonomy or misidentifications. Moreover, our study increased the number of potential alien species in Germany from 14 to 21 and is therefore a valuable groundwork for further faunistic investigations.
Data from: Ecological constraints coupled with deep-time habitat dynamics predict the latitudinal diversity gradient in reef fishes
We develop a spatially explicit model of diversification based on paleohabitat to explore the predictions of four major hypotheses potentially explaining the latitudinal diversity gradient (LDG), namely, the 'time-area', 'tropical niche conservatism', 'ecological limits' and 'evolutionary speed' hypotheses. We compare simulation outputs to observed diversity gradients in the global reef fish fauna. Our simulations show that these hypotheses are non-mutually exclusive and that their relative influence depends on the time scale considered. Indeed, simulations suggest that reef habitat dynamics produced the LDG during deep geological time, while ecological constraints shaped the modern LDG, with a strong influence of the reduction in the latitudinal extent of tropical reefs during the Neogene. Overall, this study illustrates how mechanistic models in ecology and evolution can provide a temporal and spatial understanding of the role of speciation, extinction and dispersal in generating contemporary biodiversity patterns.
Data from: Do habitat shifts drive the diversity in teleost fishes? An example from the pufferfishes (Tetraodontidae)
Habitat shifts are implicated as the cause of many vertebrate radiations, yet relatively few empirical studies quantify patterns of diversification following colonization of new habitats in fishes. The pufferfishes (family Tetraodontidae) occur in several habitats, including coral reefs and freshwater, which are thought to provide ecological opportunity for adaptive radiation, and thus provide a unique system for testing the hypothesis that shifts to new habitats alter diversification rates. To test this hypothesis we sequenced eight genes for 96 species of pufferfishes and closely related porcupine fishes, and added 19 species from sequences available in GenBank. We time-calibrated the molecular phylogeny using three fossils, and performed several comparative analyses to test whether colonization of novel habitats led to shifts in the rate of speciation and body size evolution, central predictions of clades experiencing ecological adaptive radiation.. Colonization of freshwater is associated with lower rates of cladogenesis in pufferfishes though these lineages also exhibit accelerated rates of body size evolution. Increased rates of cladogenesis are associated with transitions to coral reefs, but reef lineages surprisingly exhibit significantly lower rates of body size evolution. These results suggest that ecological opportunity afforded by novel habitats may be limited for pufferfishes due to competition with other species, constraints relating to pufferfish life history and trophic ecology, and other factors.
Data from: Inbred and furious: negative association between aggression and genetic diversity in highly inbred fish
Aggressive behaviour plays an important role in securing resources, defending against predators and shaping social interactions. Although aggression can have positive effects on growth and reproductive success, it is also energetically costly and may increase injury and compromise survival. Individual genetic diversity has been positively associated with aggression, but the cause for such an association is not clear, and it might be related to the ability to recognize kin. To disentangle the relationships between genetic diversity, kinship and aggression, we quantified aggressive behaviour in a wild, self-fertilizing fish (Kryptolebias marmoratus) with naturally variable degrees of genetic diversity, relatedness and familiarity. We found that in contrast to captive fish, levels of aggression among wild K. marmoratus are positively associated with individual homozygosity, but not with relatedness or familiarity. We suggest that the higher aggression shown by homozygous fish could be related to better kin discrimination and may be facilitated by hermaphrodite competition for scarce males, given the fitness advantages provided by outcrossing in terms of parasite resistance. It seems likely that the relationship between aggression and genetic diversity is largely influenced by both the environment and population history.
Data from: Quantification of mesocosm fish and amphibian species diversity via eDNA metabarcoding
Freshwater fauna are particularly sensitive to environmental change and disturbance. Management agencies frequently use fish and amphibian biodiversity as indicators of ecosystem health and a way to prioritize and assess management strategies. Traditional aquatic bioassessment that relies on capture of organisms via nets, traps and electrofishing gear typically has low detection probabilities for rare species and can injure individuals of protected species. Our objective was to determine whether environmental DNA (eDNA) sampling and metabarcoding analysis can be used to accurately measure species diversity in aquatic assemblages with differing structures. We manipulated the density and relative abundance of eight fish and one amphibian species in replicated 206-L mesocosms. Environmental DNA was filtered from water samples, and six mitochondrial gene fragments were Illumina-sequenced to measure species diversity in each mesocosm. Metabarcoding detected all nine species in all treatment replicates. Additionally, we found a modest, but positive relationship between species abundance and sequencing read abundance. Our results illustrate the potential for eDNA sampling and metabarcoding approaches to improve quantification of aquatic species diversity in natural environments and point the way towards using eDNA metabarcoding as an index of macrofaunal species abundance.
FIGURE 4 in Inventory of the freshwater fishes from a densely collected area in South America — a case study of the current knowledge of Neotropical fish diversity
FIGURE 4. Number of freshwater fish species per family in the Rio Grande do Sul State, Brazil.
Data from: Refining the trophic diversity, ecological network structure, and bottom-up importance of prey groups for temperate reef fishes
<p>The file "Zarco-Perello et al Temperate Reef Fish Trophic Guilds Complete Diet Dataset.xlsx" contains several spreadsheet tabs related to the analyses carried out in the paper: <i><strong>Refining the trophic diversity, ecological network structure, and bottom-up importance of prey groups for temperate reef fishes: </strong></i><a href="https://doi.org/10.32942/X2CC97">https://doi.org/10.32942/X2CC97</a></p><p>All analyses, with the exception of the network calculations, of the study were carried out in the computer software R. The code is contained in the file "Zarco-Perello et al Temperate Reef Fish Trophic Ecology.R". For trophic network analyses we used the computer program Gephi v0.1 <a href="https://sciwheel.com/work/citation?ids=15257446&amp;pre=&amp;suf=&amp;sa=0">(Bastian et al. 2009).</a></p><p><strong>DATASET DESCRIPTION</strong></p><p><strong>Region of Study</strong></p><p>The region of study encompasses all the temperate reefs of south-western Australia (SWA). Extending along ~1600 km of coast, from Jurien Bay Marine Park (30° 18.6 S, 115° 0.1 E) to the Recherche Archipelago Nature Research (33° 53.7 S, 123° 52.3 E; supplementary Fig. S1), the temperate reefs of SWA are distributed across the Leeuwin and Houtman biogeographical ecoregions <a href="https://sciwheel.com/work/citation?ids=1796477&pre=&suf=&sa=0">(Spalding et al. 2007)</a>, conforming approximately ⅓ of the total distribution of temperate Australia, known as the Great Southern Reef <a href="https://sciwheel.com/work/citation?ids=4498783&pre=&suf=&sa=0">(Bennett et al. 2016).</a></p><p><strong>Species Composition</strong></p><p>The species composition of the metacommunity of temperate reef fishes of the region was obtained from a total of 4589 underwater visual surveys conducted across 206 reefs in 12 locations by the Reef Life Survey (RLS) citizen science program, and the Australian Temperate Reef Collaboration (ATRC, with support from the Department of Biodiversity Conservation and Attractions; https://www.atrc.au) from 1997 to 2021.</p><p><strong>Trophic Information</strong></p><p>All fish species listed in the RLS-ATRC database were classified in trophic guilds based on collected diet information from studies of gut content analyses in SWA, or other Australian and international regions in the absence of local information. A total of 298 fish species composed the metacommunity. For every species, we obtained diet information from the scientific literature reported on Fishbase <a href="https://sciwheel.com/work/citation?ids=10423542&pre=&suf=&sa=0">(Froese and Pauly 2019)</a> and through the search engine Scopus using the search terms: TS = (<i>name of species</i>* OR *<i>common name of species</i>*) AND TS = (diet OR *stomach content* OR *gut content* OR consump* OR herbi* OR predat* OR feeding). Diet information consisted of the average proportions of food items represented as the number of items (%N), percent volume (%V), or biomass (%W) in a population of each species. Preference was given to diet studies conducted in the region of study and those presenting biomass proportions. Species that lacked diet information globally were assigned diet proportions based on phylogenetically related species with similar size and habitat preferences based on the Fish Tree of Life <a href="https://sciwheel.com/work/citation?ids=10720381&pre=&suf=&sa=0&dbf=0">(Chang et al. 2019)</a>.</p><p><i><< The tab "Guilds Complete Diet Dataset" contains all the diet information (stomach content proportions) and its sources for all fish species considered in the study >></i></p><p><strong>Trophic guilds classification</strong></p><p>To quantify the diversity of trophic guilds and identify important fish consumers of specific groups of prey, we classified the fish species into trophic guilds performing a multi-step cluster analysis. Firstly, species were grouped into main trophic guilds using the mutually exclusive major categories of prey items. The diet proportions in these categories were used to create a dissimilarity matrix among species based on the Bray-Curtis linkage method using the function <i>vegdist</i> of the R package Vegan <a href="https://sciwheel.com/work/citation?ids=7457489&pre=&suf=&sa=0">(Oksanen et al. 2022)</a>, which was used to run a sequential divisive hierarchical cluster analysis using the function <i>diana</i> (divisive analysis) of the R package Cluster <a href="https://sciwheel.com/work/citation?ids=15165291&pre=&suf=&sa=0">(Maechler et al. 2022)</a>. Subsequently, because there are mismatches in the resolution of diet identification between species belonging to different trophic levels (<i>e.g.</i> the diets of herbivorous fish tend to have higher resolution on macrophytes, while carnivorous species tend to have higher resolution on animal prey), species within each identified main trophic guild were subject to a cluster analysis with higher definition of prey items to identify groups of species with diet specializations using sequential agglomerative hierarchical cluster analysis based on Ward's Method and Bray-Curtis or Euclidean dissimilarity matrix <a href="https://sciwheel.com/work/citation?ids=205080&pre=&suf=&sa=0">(Pineda‑Munoz and Alroy 2014)</a>.</p><p>The stomach content of most scarid species (parrotfish; Labridae: Scarinae) is very difficult to identify due to their pharyngeal mill, which grinds all food items to indiscernible particles. However, they are well identified as a special group that ingest detritus and algae by scraping the reef substrate with their specialized fused teeth. Thus, for the sake of differentiating their trophic guild, the proportions of diet for species of parrotfish was arbitrarily defined based on field observations as sediment and detritus (90%) and short filamentous algae (10%) <a href="https://sciwheel.com/work/citation?ids=11332249&pre=&suf=&sa=0&dbf=0">(Bonaldo et al. 2014)</a>. Additionally, cleaner fish and false cleaners are a special group of fishes that are difficult to group by diet given that they feed on prey that could be identified as zooplankton or zoobenthos, while in fact true cleaners forage, at least in part, on parasitic invertebrates attached to bigger fish, in addition to fish skin and scales <a href="https://sciwheel.com/work/citation?ids=13921938&pre=&suf=&sa=0">(Grutter 1997)</a>; thus, given their particular trophic ecology these labrid and blenny species were arbitrarily grouped in the major trophic group "fish cleaners" for the subsequent specialized trophic group classifications.</p><p>Visual analysis of the differences in multidimensional space between trophic guilds was done with Non-metric Multidimensional Scaling based on the dissimilarity matrix calculated for clustering using the function <i>metaMDS</i> of the R package vegan (reported in supplementary materials; <a href="https://sciwheel.com/work/citation?ids=7457489&pre=&suf=&sa=0">(Oksanen et al. 2022)</a>. Statistical significance in dietary differences among major and specialized trophic guilds (diet proportions ~ trophic guilds) was tested with permutational analysis of variance (PERMANOVA) using the function <i>adonis2 </i>of the R package vegan <a href="https://sciwheel.com/work/citation?ids=7457489&pre=&suf=&sa=0">(Oksanen et al. 2022)</a>, followed by pairwise comparisons using the function <i>pairwise.adonis2</i> of the R package pairwiseAdonis <a href="https://sciwheel.com/work/citation?ids=15190336&pre=&suf=&sa=0">(Martinez 2017)</a>.</p><p><i><< The tabs in the dataset called "Major Guilds Diet Data", "Herbivores Diet Data", "Cleaners Diet Data", "Zoobenthivores Diet Data, "Zooplanktivores Diet Data", and "Piscivores Diet Data" are the datasets with selected diet categories for each guild without "unidentified diet items" and standardized to 100 proportion which were used for the classification of each major trophic guild into specialized trophic guilds. >></i></p><p><strong>Trophic Network Links Between Specialized Guilds</strong></p><p>The trophic links between fishes and their invertebrate and macrophyte prey groups were identified by our trophic guild classification (Other Guilds Links tab in dataset); however, the trophic role of piscivores is faced with what here we called a "matrioshka paradox", because to know their links with other guilds, we must first know the trophic links of their prey. Moreover, this is not straightforward because the highest taxonomic identification of piscivorous prey is usually limited to family level, which could belong to multiple trophic guilds. This paradox is usually not explicitly stated in the literature, and it is unclear how trophic links have been drawn in previous studies without performing detailed quantitative trophic classifications. Here we estimated the trophic links between piscivorous guilds and the rest of fish guilds by (i) assigning each fish family identified in the diets of piscivorous fishes into their respective specialized guilds based in our trophic classification, (ii) pooling their diet proportions into each specialized trophic guilds they could belong to, (iii) standardizing values by number of species in each piscivorous guild, and (iv) dividing by the total sum of diet proportions to estimate their potential predation (0-100%) on other trophic guilds in the trophic network. Trophic links that had pooled diet proportions with values <5% were discarded for clarity of the network (Piscivores Trophic Links tab in dataset). This information was joined with the trophic information from non-piscivorous trophic guilds and formatted as a list of nodes (guilds and prey groups), and links between nodes (source-target) to create the trophic network of the entire temperate reef fish metacommunity (Nodes Network List and Edges Network Lisk tabs in dataset). All network analyses were done using the computer program for network visualization and analyzes Gephi v0.1 <a href="https://sciwheel.com/work/citation?ids=15257446&pre=&suf=&sa=0">(Bastian et al. 2009)</a>.</p><p><i><< The tabs "Piscivores Trophic Links" and "Other Guilds Links" are datasets containing the calculations of the links between specialized trophic links for Piscivores and other guilds respectively used to create the data of the tabs "Nodes Network List" and "Edges Network List" to create the trophic network of the system of study. >></i></p><p><i><< The tab "Herbivory, Omnivory and Carnivory" contains diet proportion data of all fish species of the study formated to build the barplot (Fig. 4) in the manuscript showing the distribution of consumption of macrophytes, invertebrates and fishes >></i></p><p> </p>
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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.