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Fig. 3 in Aquatic insects as the main food resource of fish the community in a Neotropical reservoir
Fig. 3. Cluster analysis of diet similarity among species, showing the trophic guilds of the fish community from the Nova Avanhandava Reservoir.
Fig. 4 in Aquatic insects as the main food resource of fish the community in a Neotropical reservoir
Fig. 4. Relative catch per unit effort (CPUE) in number (CPUEn) and biomass (CPUEb) of trophic guilds of the fish community of the Nova Avanhandava Reservoir.
Fig. 1 in Aquatic insects as the main food resource of fish the community in a Neotropical reservoir
Fig. 1. Position of the NovaAvanhandava Reservoir in the Tietê River, and the location of the sampling stretches: Santa Bárbara stretch (1) and Bonito Stretch (2) (modified from CESP, 1998). Squares = municipalities of São Paulo State.
Fig. 10 in Is fish passage technology saving fish resources in the lower La Plata River basin?
Fig. 10. Fish distribution and density in the tailwater of Salto Grande Dam. a) Depth distribution. b) Areas of maximum fish concentration (16 fish/m2), November, 2002, with opened spillway. c) Areas of maximum fish concentration (29 fish/m2) November, 2000, with closed spillway. D - bubble area produced by spillway. E - fishway entrances.
Fig. 8 in Is fish passage technology saving fish resources in the lower La Plata River basin?
Fig. 8. Paired comparisons of species composition for the tailrace (T), lower chamber (LC) and upper chamber (UC) at different sampling periods (adapted from Espinach Ros et al., 1997).
Fig. 4 in Is fish passage technology saving fish resources in the lower La Plata River basin?
Fig. 4. Percent composition for important migratory fish species sampled in the Yacyreta elevators including dorado (Salminus brasiliensis), sábalo (Prochilodus lineatus), pacu (Piaractus mesopotamicus), boga (Leporinus obtusidens), and surubi (Pseudoplatystoma corruscans and P. fasciatum).
Fig. 2 in Is fish passage technology saving fish resources in the lower La Plata River basin?
Fig. 2. Species composition of fishes sampled in the Yacyreta elevators. Data from 1995-1997 adapted from Oldani et al., (2002) and from 2000-2001 adapted from Roncati et al. (2000; 2001).
Fig. 1 in Is fish passage technology saving fish resources in the lower La Plata River basin?
Fig. 1. Geographic location of Yacyretá Dam (Parana River) and Salto Grande Dam (Uruguay River) and fishway details. Location map and project features for Yacyreta and Salto Grande dams.
Fig. 6. a in Is fish passage technology saving fish resources in the lower La Plata River basin?
Fig. 6. a) Depth (m) distribution in the tailwater of Yacyreta Dam. b) Areas of maximum density (> 0.2 fish/m2) with spillway closed. Data recorded at midday and dusk from July, 1997 to June, 1998. E - fishway entrances; MS - main spillway.
Fig. 7 in Is fish passage technology saving fish resources in the lower La Plata River basin?
Fig. 7. Proportion of species grouped by order that were sampled in the tailrace and never sampled in the Borland locks of Salto Grande Dam.
Fig. 5 in Is fish passage technology saving fish resources in the lower La Plata River basin?
Fig. 5. Water velocities in right and left collection channels of the Yacyreta fish passage system. RCCS: Right crowder channel section; RICS: right intermediate channel section; RECD: right entrance channel section; LCCS: left crowder channel section; LICS: left intermediate channel section; LECS: left entrance channel section.
Fig. 3 in Use of food resources by the fish fauna of a small reservoir (rio Jordão, Brazil) before and shortly after its filling
Fig. 3. Capture per unit of effort (CPUE), in abundance (a) and biomass (b) from different trophic groups.
Fig. 1 in Use of food resources by the fish fauna of a small reservoir (rio Jordão, Brazil) before and shortly after its filling
Fig. 1. Geographical location of Jordão River (Paraná State, Brazil) with indication of the study site.
Fig. 2 in Food resource partitioning in a fish community of the central Amazon floodplain
Fig. 2. Relative importance of food categories in supporting the community's biomass of fish species inhabiting a floodplain lake (lago do Rei) in Central Amazonia in the two seasons.
Fig. 3 in Food resource partitioning in a fish community of the central Amazon floodplain
Fig. 3. Distribution of overlaps values between diets of fish species inhabiting a floodplain lake (lago do Rei) in Central Amazonia. a: whole community all seasons (74 species); b: generalist species all seasons (27 species); and c: seasonal differences (23 species).
Public resources about PHYVV and TMV detection in Jalapeño pepper plants using CNNs
<p>This repository contains a dataset of Jalapeño pepper leaves which where divided into three classes labeles as "healthy", "PHYVV-infected" and "TMV-infected. In addition, the folder labeled as model contains all the information of the artificial intelligence model that was utilized to classify between the aforementioned classes.</p>
Datasets and OpenLCA foreground data processes for the article: Understanding environmental trade-offs and resource demand of direct air capture technologies through comparative life-cycle assessment
<p>This data set contains the supplementary data sets (1-3) and exported foreground data processes from OpenLCA for the manuscript “Understanding environmental trade-offs and resource demand of direct air capture technologies through comparative life-cycle assessment”, submitted to Nature Energy.</p> <p>This repository contains:</p> <ul> <li>Supplementary data set 1: Ancillary calculations and numerical values for HT-Aq DAC</li> <li>Supplementary data set 2: Ancillary calculations and numerical values for TSA DAC</li> <li>Supplementary data set 3: Ancillary calculations and numerical values shown in plots and table 3</li> <li>Foreground data from OpenLCA. OpenLCA process model for different cases of HT-Aq DAC and TSA DAC. To re-run the LCA calculations, OpenLCA (freeware) and the Ecoinvent 3.5 database (license required) need to be installed on a standard desktop computer or laptop with at least 8 GB RAM.</li> </ul>
Barcode of Life Data Systems: BOLDS main resource (81) DwCA
<p>http://www.boldsystems.org/. The Barcode of Life Data Systems (BOLD), is a web platform that provides an integrated environment for the assembly and use of DNA barcode data. It delivers an online database for collection and management of specimen, distributional, and molecular data as well as analytical tools to support their validation. Over the past few years, BOLD has grown to become a powerful online workbench and the central informatics hub of the DNA barcoding community. BOLD is freely available to any researcher with interests in DNA Barcoding. By providing specialized services, it aids in the publication of records that meet the standards needed to gain BARCODE designation in the global sequence databases. Because of its web-based delivery and flexible data security model, it is also well positioned to support projects that involve broad research alliances.</p> <p> </p>
Resources from: Gut microbiome composition better reflects host phylogeny than diet diversity in breeding wood-warblers
<p>Understanding the factors that shape microbiomes can provide insight on the importance of host-symbiont interactions and on co-evolutionary dynamics. Unlike for mammals, previous studies have found little or no support for an influence of host evolutionary history on avian gut microbiome diversity and instead have suggested a greater influence of the environment or diet due to fast gut turnover. Because effects of different factors may be conflated by captivity and sampling design, examining natural variation using large sample sizes is important. Our goal was to overcome these limitations by sampling wild birds to compare environmental, dietary, and evolutionary influences on gut microbiome structure. We performed fecal metabarcoding to characterize both the gut microbiome and diet of fifteen wood-warbler species across a four-year period and from two geographic localities. We find host taxonomy generally explained ~10% of the variation between individuals, which is ~6-fold more variation of any other factor considered, including diet diversity. Further, gut microbiome similarity was more congruent with the host phylogeny than with host diet similarity and we found little association between diet diversity and microbiome diversity. Together, our results suggest evolutionary history is the strongest predictor of gut microbiome differentiation among wood-warblers. Although the phylogenetic signal of the warbler gut microbiome is not very strong, our data suggest that a stronger influence of diet (as measured by diet diversity) does not account for this pattern. The mechanism underlying this phylogenetic signal is not clear, but we argue host traits may filter colonization and maintenance of microbes.</p>
Resources and seasonality drive the composition of mixed-species bird flocks along an elevational gradient in the Himalaya
<p><span>Mixed-species bird flocks are cohesive networks of interacting insectivorous bird species that benefit from reduced predation risk and/or enhanced resource access. We studied how species' propensity to participate in mixed flocks, and the number and strength of interspecific associations within flocks, changed along elevational (low, mid, high) and seasonal (winter, spring) gradients in the western Himalaya. We expected species to have high propensities, and greater number and strength of interspecific associations when resources are scarce, and to decline when resources are abundant. We first used species occurrence within and outside mixed flocks to calculate species-specific flocking propensity and then performed network analyses to quantify the proportion of realized interspecific associations (network density) and their strength (weighted degree), using an abundance-based null model to control flocking species' availability. Further, we quantified arthropod prey availability in winter by using a branch bagging technique. Insect availability and arthropod diversity decreased with increasing elevation in winter and species' flocking propensities, network densities and weighted degrees increased with elevation, possibly to benefit from facilitative interactions that increase foraging success. In spring, as more resources become available and/or bird start investing more time in breeding, flocking propensities, network densities and species' weighted degrees declined at all elevations when compared with winter. During resource-scarce periods, species might find solitary foraging prohibitive because of reduced resource access and costs of vigilance therefore leading to the formation of networks of facilitative associations.</span></p>
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.