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Fig. 2. Ilyocypris thailandensis, new species. A–C, G–H in Ilyocypris thailandensis, a new species of freshwater ostracod (Crustacea: Ostracoda: Cypridoidea) from Thailand
Fig. 2. Ilyocypris thailandensis, new species. A–C, G–H, female; D–F, male. A, LV, internal view (MSU-ZOC.312); B, RV, internal view (ditto); C, LV, internal view, postero-ventral part (ditto); D, LV, internal view (MSU-ZOC.308); E, RV, internal view (ditto); F, LV, internal view, postero-ventral part (MSU-ZOC.309); G, LV, internal view, anterior part (MSU-ZOC.312); H, RV, internal view, anterior part (ditto). Arrows indicate lists (l) and rows of ripplets (r). Scale bar: A, B, D, E = 200 μm, C = 94 μm, F–H = 50 μm.
Imperial Robotics Lab- Lake Vrana Freshwater Dataset
<p>Raw bird diversity data and soundscape index data extracted from acoustic data and used for the analysis of acoustic diversity and bird diversity. R scripts are included for PCA , bird composition and soundscape analysis.</p>
Data from: On the shape and origins of the freshwater species-area relationship
<p>The species-area relationship (SAR) has over a 150-year-long history in ecology, but how its shape and origins vary across scales and organisms is still not fully understood. This is the first subcontinental freshwater study to examine both properties of the SAR in a spatially explicit way across major organismal groups (diatoms, insects, and fish), differing in body size and dispersal capacity. First, to describe the SAR shape, we evaluated the fit of three commonly used models, logarithmic, power, and Michaelis-Menten. Second, we proposed a hierarchical framework to explain the variability in the SAR shape, captured by the parameters of the SAR model. According to this framework, scale and species group were the top predictors of the SAR shape, climatic factors (heterogeneity and median conditions) represented the second predictor level, and metacommunity properties (intraspecific spatial aggregation, γ-diversity, and species abundance distribution), the third predictor level. We calculated the SAR as a sample-based rarefaction curve using 60 streams within landscape windows (scales) in the US, ranging from 160,000 to 6,760,000 km<sup>2</sup>. First, we found that all models provided good fits (R<sup>2</sup> ≥ 0.93), but the frequency of the best-fitting model was strongly dependent on organism, scale, and metacommunity properties. Michaelis-Menten model was most common in fish, at the largest scales, and at the highest levels of intraspecific spatial aggregation. The power model was most frequent in diatoms and insects, at smaller scales, and in metacommunities with the lowest evenness. The logarithmic model was best fitting exclusively at the smallest scales and in species-poor metacommunities, primarily fish. Second, we tested our framework with the parameters of the most broadly used SAR model, the log-log form of the power model using a structural equation model. This model supported our framework and revealed that the SAR slope was best predicted by scale- and organism-dependent metacommunity properties, particularly spatial aggregation, while the intercept responded most strongly to species group and γ-diversity. Future research should investigate from the perspective of our framework how shifts in metacommunity properties due to climate change would alter the SAR.</p>
Supplementary data for "ENGINEERED ADAPTATION MECHANISMS BETWEEN MARINE AND FRESHWATER ENVIRONMENTS IN FISH AFTER THE FLOOD" for the ICC 2023 in Cedarville, Ohio
<p>Supplementary data for "ENGINEERED ADAPTATION MECHANISMS BETWEEN MARINE AND FRESHWATER ENVIRONMENTS IN FISH AFTER THE FLOOD" for the ICC 2023 in Cedarville, Ohio.</p> <p>These include FishBase annotation, mtDNA sequence similarity matrixes, clustering, and statistics for nine fish orders:</p> <p>1. Acipenseriformes</p> <p>2. Angulliformes</p> <p>3. Beloniformes</p> <p>4. Characiformes</p> <p>5. Clupeiformes</p> <p>6. Cyprinodontiformes</p> <p>7. Elasmobranchii</p> <p>8. Pleuronectiformes</p> <p>9. Salmoniformes</p>
Fig. 3 in Systematic evaluation of cryptic freshwater snails from central Chile, including the enigmatic Littoridina santiagensis (Gastropoda, Truncatelloidea)
Fig. 3. Potamolithus santiagensis (Biese, 1944) comb. nov., Yeso Spring, Chile. A. Shell imaged using SEM. B–D. Shell of the same specimen photographed under a stereo microscope (frontal, dorsal, lateral views). E. Protoconch. F–G. Opercula of two specimens (outer, inner sides, respectively). H. Head of a female. I. Head of another female having a nuchal node. J. Anterior-central section of radular ribbon. K. Central teeth. Abbreviations: f = foot; h = head; l = lip; lt = left tentacle; nn = nuchal node; rt = right tentacle. Scale bars: A–D = 1.0 mm; E = 250 μm; F–G = 500 μm; H–I = 0.5 mm; J = 50 μm; K = 10 μm.
Fig. 2 in Systematic evaluation of cryptic freshwater snails from central Chile, including the enigmatic Littoridina santiagensis (Gastropoda, Truncatelloidea)
Fig. 2. Shells of truncatelloidean freshwater snails observed in the present study. A–B. Slender morphotype from El Yeso Spring (A) and Lo Carreño (B) assigned to Potamopyrgus antipodarum (Gray, 1843). C–E. Thicker morphotype from El Yeso Spring (C), Lo Carreño (D) and El Colorado (E) assigned to Potamolithus santiagensis (Biese, 1944) comb. nov. F. Thicker morphotype from Viña Casas del Maule assigned to Potamolithus sp. Scale bar = 1 mm.
Fig. 1 in Systematic evaluation of cryptic freshwater snails from central Chile, including the enigmatic Littoridina santiagensis (Gastropoda, Truncatelloidea)
Fig. 1. "Littoridina" santiagensis Biese, 1944. A. The only drawings of a specimen of the species taken from the original description by Biese (1944). B. Lectotype housed at the Museo Nacional de Historia Natural, Santiago, Chile (MNHNCL) (after Collado et al. 2011).
Fig. 5 in Systematic evaluation of cryptic freshwater snails from central Chile, including the enigmatic Littoridina santiagensis (Gastropoda, Truncatelloidea)
Fig. 5. Bayesian tree based on COI sequences. Numbers at nodes indicate posterior probability values (only given if Ż 0.95). Names in bold refer to new sequences reported in this paper. Numbers following taxa refer to GenBank sequences.
Fig. 3 Neopolystoma scorpioides n in Tracking platyhelminth parasite diversity from freshwater turtles in French Guiana: First report of Neopolystoma Price, 1939 (Monogenea: Polystomatidae) with the description of three new species
Fig. 3 Neopolystoma scorpioides n. sp. Hohotupe. a Ventnah vies. b testis of hohotupe. c cenitah spines. d haptonah sucken shosinc a ninc of skehetah ehements. e mancinah hookhets. Abbreviations: ec, ecc; cb, cenitah buhb; hp, hapton; ic, intestinah caecum; mo, mouth; ov, ovanu; ph, phanunx; su, sucken; te, testis; va, vacina; vd, vas defenens; vi, vitehhania. Scale-bars: a, 500 μm; b, 100 μm; c, 10 μm; d, 100 μm; e, 10 μm
Fig. 1 Neopolystoma cayensis n in Tracking platyhelminth parasite diversity from freshwater turtles in French Guiana: First report of Neopolystoma Price, 1939 (Monogenea: Polystomatidae) with the description of three new species
Fig. 1 Neopolystoma cayensis n. sp. Hohotupe. a Ventnah vies. b Testis. c Genitah spines. d Haptonah sucken shosinc a ninc of skehetah ehements. e Mancinah hookhets. Abbreviations: ec, ecc; cb, cenitah buhb; hp, hapton; ic, intestinah caecum; mo, mouth; ov, ovanu; ph, phanunx; su, sucken; te, testis; va, vacina; vd, vas defenens; vi, vitehhania. Scale-bars: a, 500 μm; b, 500 μm; c, 10 μm; d, 100 μm; e, 10 μm
Fig. 4 in Tracking platyhelminth parasite diversity from freshwater turtles in French Guiana: First report of Neopolystoma Price, 1939 (Monogenea: Polystomatidae) with the description of three new species
Fig. 4 Bauesian tnee infenned fnom the anahusis of foun concatenated cenes. Numbens at nodes connespond to Bauesian postenion pnobabihities. Abbreviations: C. sacs, conjunctivah sacs; P. cavitu, phanunceah cavitu
Fig. 2 Neopolystoma guianensis n in Tracking platyhelminth parasite diversity from freshwater turtles in French Guiana: First report of Neopolystoma Price, 1939 (Monogenea: Polystomatidae) with the description of three new species
Fig. 2 Neopolystoma guianensis n. sp. Hohotupe. a, Ventnah vies. b, testis. c cenitah spines. d haptonah sucken shosinc a ninc of skehetah ehements. e mancinah hookhets. Abbreviations: ec, ecc; cb, cenitah buhb; hp, hapton; ic, intestinah caecum; mo, mouth; ov, ovanu; ph, phanunx; su, sucken; te, testis; va, vacina; vd, vas defenens; vi, vitehhania. Scale-bars: a, 1,000 μm; b, 100 μm; c, 10 μm; d, 100 μm; e, 10 μm
FIGURE 3 in Freshwater fish richness baseline from the São Francisco Interbasin Water Transfer Project in the Brazilian Semiarid
FIGURE 3 | Freshwater fish species from the São Francisco Interbasin Water Transfer Project basins in the Brazilian semiarid. A = Hemigrammus brevis, endemic species of São Francisco Ecoregion (SFRE); B = Moenkhausia costae and C = Psellogrammus kennedyi, shared species between SFRE and Mid-Northeastern Caatinga Ecoregion (MNCE); D = Aspidoras menezesi, endemic species of Jaguaribe basin (JAG); E = Hypostomus sertanejo, endemic species of MNCE; F = Parotocinclus spilurus, endemic and endangered species of JAG; G = Tatia bockmanni, endemic species of SFRE; H = Cichlasoma orientale, shared species from all basins of SFR-IWT; I = Geophagus brasiliensis, shared species between SFRE and MNCE; J = Colossoma macropomum, non-native species shared between SFRE and Piranhas-Açu basin; K = Parachromis managuensis, non-native species shared between SFRE and Paraíba do Norte basin; L = Xiphophorus helleri, non-native species of JAG.
FIGURE 2 in Freshwater fish richness baseline from the São Francisco Interbasin Water Transfer Project in the Brazilian Semiarid
FIGURE 2 | Sampling sites in the São Francisco Interbasin Water Transfer Project basins in the Brazilian semiarid. A = Canals under construction near the rio São Francisco main channel, and B = near Sertânia, Pernambuco State (PE), C = Rio Pajeú, tributary of the São Francisco basin, PE, D = Rio São Francisco near Petrolina, PE, E = Temporary pool in rio Jaguaribe basin in Russas, Ceará State (CE), F = Rio Jaguaribe in Crato, CE, G = Rio Apodi-Mossoró in Pau dos Ferros, Rio Grande do Norte State (RN), H = Rio Apodi-Mossoró in Pau dos Ferros, RN, I = Rio Seridó, tributary of the Piranhas-Açu basin in Caicó, RN, J = Rio Piranhas-Açu, Jardim de Piranhas, RN, K = Rio Paraíba do Norte in Barra de Santana, Paraíba State (PB), L = Rio Paraíba do Norte in São João do Cariri, PB.
FIGURE 1 in Freshwater fish richness baseline from the São Francisco Interbasin Water Transfer Project in the Brazilian Semiarid
FIGURE 1 | Sampling sites of the freshwater fish species in the São Francisco Interbasin Water Transfer Project basins in the Brazilian semiarid.
Рис. 8. Фрагменты раковин пресноводных моллюсков иЗ раскопов поселениЯ Константиновка-1: А, B – створка жемчужницы иЗ раскопа 1, вид снаружи и иЗнутри; C–E – створки жемчужниц Dahurinaia dahurica иЗ раскопа 2; F, G – фрагмент раковины гастроподы иЗ раскопа 2, вид с раЗных ракурсов. Масштабные линейки 2 см. Fig. 8. Fragments of freshwater mollusk shells from the Konstantinovka-1 site excavations: A, B – pearl mussel Dahurinaia dahurica from excavation 1, the inner and outer views; C–E – pearl mussel Dahurinaia dahurica from excavation 2; F, G – fragment of a gastropod shell from excavation 2, view from different angles. Scale bars 2 cm. in Mollusks from the archaeological site Konstantinovka-1 in Primorye (Russian Far East)
Рис. 8. Фрагменты раковин пресноводных моллюсков иЗ раскопов поселениЯ Константиновка-1: А, B – створка жемчужницы иЗ раскопа 1, вид снаружи и иЗнутри; C–E – створки жемчужниц Dahurinaia dahurica иЗ раскопа 2; F, G – фрагмент раковины гастроподы иЗ раскопа 2, вид с раЗных ракурсов. Масштабные линейки 2 см. Fig. 8. Fragments of freshwater mollusk shells from the Konstantinovka-1 site excavations: A, B – pearl mussel Dahurinaia dahurica from excavation 1, the inner and outer views; C–E – pearl mussel Dahurinaia dahurica from excavation 2; F, G – fragment of a gastropod shell from excavation 2, view from different angles. Scale bars 2 cm.
FIGURE 2 in The effectiveness of protected areas in the Paraná-Paraguay basin in preserving multiple facets of freshwater fish diversity under climate change
FIGURE 2 | Paraná-Paraguay basin and the 17% of the area with the highest values of species richness (SR), functional richness (FRic), and phylogenetic diversity (PD), as well as the protected areas (PAs). A. SR, FRic, and PD, as well as their individual distribution for the current and future scenarios of climate change; B. the overlap between SR, FRic, and PD, as well as the protected areas in the Paraná-Paraguay basin, for the current and future scenarios of climate change C. The Venn diagrams showing the percentage of overlap between the components of fish diversity and the protected areas currently in the basin.
FIGURE 1 in The effectiveness of protected areas in the Paraná-Paraguay basin in preserving multiple facets of freshwater fish diversity under climate change
FIGURE 1 | Paraná-Paraguay basin showing countries' boundaries, topography, hydrographic features, and protected areas. 1. Upper Paraná River basin; 2. Middle Paraná River basin; 3. Lower Paraná basin; 4. Upper Paraguay basin; 5. Middle Paraguay basin; 6. Lower Paraguay basin.
Biogeographical patterns of freshwater fauna
<p><strong>Aim </strong>Temperature is regarded as an important driver of broad-scale biodiversity patterns. However, less is known of the role of dispersal in shaping broad-scale species and trait distributions, particularly given that species had to disperse out of glacial refugia after the Last Glacial Maximum (LGM). Here, we used a unique dataset describing the distributions of freshwater fauna combined with trait information, to evaluate biodiversity relationships to distance to glacial refugia and temperature.</p> <p><strong>Location</strong> 25 biogeographical regions across Europe</p> <p><strong>Major taxa studied</strong> 2,816 freshwater invertebrate species and 230 freshwater fish species</p> <p><strong>Methods</strong> using the occurrence of invertebrate and fish species on the biogeographical regions, and publicly available trait information, we analyzed patterns in diversity indices (i.e., species richness, trait richness, and trait redundancy), trait distribution, and species and trait β-diversity, and their relationship to distance to known glacial refugia and regional temperature.</p> <p><strong>Results</strong> We show that distributions of European invertebrate and fish species and traits are primarily explained by distance to refugia and its covarying effect with temperature (i.e., refugia tend to be warmer). Specifically, species and trait richness were higher in regions proximate to refugia and lower in distant regions. Additionally, communities in colder and distant regions exhibited reduced niche dimensions and slower life histories, suggesting increased vulnerability to environmental change.</p> <p><strong>Main conclusions</strong> Species more distant from their refugia were characterized by higher dispersal capacities. Accordingly, since the LGM, only a subset of species was able to colonize distant regions, while many species have spatial ranges constrained by their dispersal capacity, increasing their potential for extinction under ongoing climate change. Therefore, additional conservation measures considering species' dispersal capacities are required.</p>
FIG. 1 in Microsatellite development in the freshwater red alga Batrachospermum gelatinosum (L.) De Candolle (Batrachospermales, Rhodophyta)
FIG. 1. — Images of Batrachospermum gelatinosum (L.) De Candolle: A, gametophytes fixed to a log at Cedar Bog in Ohio. Often this species has a brown to olive-green color; B, multiple gametophytes in a 55 cm diameter bowl;C, a single gametophyte mounted on herbarium paper. Photo credits: A, Stacy A. KruegerHadfield; B, C, Morgan L. Vis. Scale bars: A, 10 cm; B, 1.5 cm; C, 1 cm.
ScienceDex guides
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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.