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FIGURE 1 in The most important fishery resource in the Amazon, the migratory catfish Brachyplatystoma vaillantii (Siluriformes: Pimelodidae), is composed by an unique and genetically diverse population in the Solimões-Amazonas River System
FIGURE 1 | Sampling sites for Brachyplatystoma vaillantii along the Solimões-Amazonas River axis. The localities were grouped in five fishing landing towns as follow: Red circles: Tabatinga (1 – Benjamin Constant, 2 – Tabatinga), Orange circles: Tefé (3 – Mucura Lake, 4 – Tefé, 5 – Vila Nova), Green circles: Manaus (6 – Manaus, 7 – Careiro da Várzea), Purple circles: Santarém (8 – Santarém, 9 – Tapará) and Blues circles: Estuary (10 – Almeirim, 11 – Gurupá, 12 – Breves, 13 – Belém, 14 – Salvaterra).
FIGURE 4 in The most important fishery resource in the Amazon, the migratory catfish Brachyplatystoma vaillantii (Siluriformes: Pimelodidae), is composed by an unique and genetically diverse population in the Solimões-Amazonas River System
FIGURE 4 | Analysis of the FASTBAPS program. Numbers are individual sequence of Brachyplatystoma vaillantii. Colors ranging from red for the lowest probabilities and clear yellow for the highest probabilities support for bootstrap.
Fig. 3 in Ecomorphology and use of food resources: inter- and intraspecific relationships of fish fauna associated with macrophyte stands
Fig. 3. Distribution of species scores in the multivariate ecomorphological space generated by the first two PCA axes. In each diagram, the species scores were distinguished by black symbols. A polygon was used to delimit the population ecomorphological space.
Fig. 1 in Ecomorphology and use of food resources: inter- and intraspecific relationships of fish fauna associated with macrophyte stands
Fig. 1. Map depicting location of the lagoons studied (PU - Pousada das Garças; PO - Porcos; ML - Maria Luiza; ON - Onça; AS -Água Suja; XI - Xirica; PM - Pombas; IP - Ilha do Pacu; BI - Ressaco do Bilé; GA - Garças) in the Upper Paraná River floodplain, Brazil.
Fig. 2 in Ecomorphology and use of food resources: inter- and intraspecific relationships of fish fauna associated with macrophyte stands
Fig. 2. Distribution of species scores in the multivariate ecomorphological space generated by the first two PCA axes (axis 1: eigenvalue = 4.3 and explained variability (%) = 20.474; axis 2: eigenvalue = 3.4 and explained variability (%) =16.434). The main variables responsible for explaining the ordination pattern are indicated in each axis (eigenvectors axis 1: compression index = 0.9006, relative area of the anal fin = 0.6539, relative width of the mouth = 0.6068, relative height of the caudal peduncle = -0.9125 and relative length of the caudal peduncle = -0.8237; eigenvectors axis 2: aspect ratio of the pectoral fin = 0.6544, aspect ratio of the caudal fin = 0.5162, aspect ratio of the anal fin = 0.5145, relative area of the pectoral fin = -0.7929 and relative area of the dorsal fin = -0.7373).
Fig. 4 in Ecomorphology and use of food resources: inter- and intraspecific relationships of fish fauna associated with macrophyte stands
Fig. 4. Simple linear regressions between the Standardized Levins Index (Bi) and the ecomorphological distances calculated for populations analyzed. Significance values of the models are indicated (p).
FIGURE 3 in Damming in the Madeira River modifies the food spectrum of piscivorous and affects their resource partitioning
FIGURE 3 | Dietary niche breadth values of four piscivorous fishes before (pre-HPP) and after (post-HPP) dam construction in the Madeira River.
FIGURE 2 in Damming in the Madeira River modifies the food spectrum of piscivorous and affects their resource partitioning
FIGURE 2 | The percent volume of prey consumed by four piscivorous fishes in Madeira River. A. Acestrorhynchus falcirostris, B. Acestrorhynchus heterolepis, C. Hydrolycus scomberoides, and D. Rhaphiodon vulpinus. Blue bars correspond to the pre-damming period and red bars to the post-damming period. Items are Aces = Acestrorhynchidae, Cyno = Cynodontidae, Char = Characidae, Curi = Curimatidae, Ster = Sternopygidae, Hemi = Hemiodontidae, Lori = Loricariidae, Auch = Auchenipteridae, Dora = Doradidae, Pime = Pimelodidae, Inse = Insects, Vege = Vegetable.
FIGURE 1 in Damming in the Madeira River modifies the food spectrum of piscivorous and affects their resource partitioning
FIGURE 1 | Study area in the Madeira River portion. Black points representing fixed sampling sites for both pre-and post-damming phases. Triangles represent the sampling sites located in the reservoir area in the post-damming phase. Arrows indicate the river flow.
WaivOps RGTM-PNO: Open Audio Resources for Machine Learning in Music
<p><strong>RGTM-PNO Dataset</strong></p> <p>RGTM-PNO is an open audio dataset featuring a collection of vintage piano songs in the style of ragtime, a genre that flourished around the turn of the 20th century. The dataset contains 262 audio tracks recorded in uncompressed stereo WAV format, synthetically generated using a custom soundfont and MIDI files sourced from public resources online.</p> <p><strong>Dataset</strong></p> <p>The primary objective of this dataset is to provide accessible content for machine learning applications in music and audio research. Some potential use cases for this dataset include audio classification, automatic music transcription (ADT), music information retrieval (MIR), melody analysis, AI music generation, sound design and signal processing.</p> <p><strong>Specifications</strong></p> <ul> <li>262 piano songs (approximately 13.5 hours)</li> <li>16-bit WAV format</li> <li>Tempo: 120bpm (live performance in absolute time)</li> <li>Variational chorus detuning (vintage piano sound)</li> <li>Paired audio and MIDI data</li> </ul> <p><strong>License</strong></p> <p>This dataset was compiled by WaivOps, a crowdsourced music project managed by the sound label company Patchbanks. The audio recordings were sonified from MIDI files containing historical musical compositions believed to be in the public domain and copyright free.</p> <p>The RGTM-PNO dataset is licensed under Creative Commons Attribution 4.0 International <a href="https://creativecommons.org/licenses/by/4.0/">(CC BY 4.0)</a>.</p> <p><strong>Additional Info</strong></p> <p>For audio examples or more information about this dataset, please refer to the <a href="https://github.com/patchbanks/WaivOps-EDM-TR8">GitHub repository</a>.</p>
Data from: Strategies of resource sharing in clonal plants: A conceptual model and an example of contrasting strategies in two closely related species
<p>These experimental data were collected to quantify amount of C and N translocated between mother and daughter ramets of two stoloniferous species. Data includes concentrations of 13-C and 15-N in plants samples originating from pulse-chase labelling, absolute amounts of the labels present, as well as dry mass of the samples. Details are described in the relevant paper.</p> <p> </p>
New Version: Resources of BMF CP80 RV2
<p>This version contains revision on the R script, Model 2 has been re-examined and re-optimized to provide better insights on the moderation effect of USDA funding on the association between methods of obtaining supplies and the feeding modalities of school meals program. </p>
FIGURE 6 in Trophic ecology and resource partitioning of Haemulidae species along the Northeastern Brazilian continental shelf
FIGURE 6 | A. Scaled isotopic niches and B. Isotopic overlap of Haemulon aurolineatum, H. plumierii and H. squamipina captured along the northeast coast of Brazil.
FIGURE 5 in Trophic ecology and resource partitioning of Haemulidae species along the Northeastern Brazilian continental shelf
FIGURE 5 | Isotopic ratios of carbon (δ¹³C) and nitrogen (δ15N) of Haemulon plumierii, H. aurolineatum and H. squamipinna in different latitude gradient and ontogeny captured along the northeast coast of Brazil. The black horizontal line and box represent the median value and the interquartile range, while the vertical lines represent the upper and lower limits. Outliers were not included in the plot. *All caught specimens of H. squamipinna were considered adults, not allowing ontogenetic analysis. Different symbols (*, ** and **) represent significant difference. Ontogeny* - All caught specimens of H. squamipinna were considered adults, not allowing ontogenetic analysis.
FIGURE 3 in Trophic ecology and resource partitioning of Haemulidae species along the Northeastern Brazilian continental shelf
FIGURE 3 | Modified Costello diagram (Pi, prey specific abundance; Fo, frequency of occurence), a scatterplot containing all prey items, showing the feeding strategy of Haemulon aurolineatum and H. plumierii captured along the northeast coast of Brazil.
FIGURE 1 in Trophic ecology and resource partitioning of Haemulidae species along the Northeastern Brazilian continental shelf
FIGURE 1 | Study area and sample points along the continental shelf of the northeast coast of Brazil. Red dots indicate samples for inner position (≤ 20 km) and black dots for outer (> 20 km).
FIGURE 2 in Trophic ecology and resource partitioning of Haemulidae species along the Northeastern Brazilian continental shelf
FIGURE 2 | Feeding intensity indicator (Fi) of Haemulon aurolineatum and H. plumierii in different habitats, latitude gradient, shelf position, ontogeny and period of the day. The black horizontal line and box represent the median value and the interquartile range, while the vertical lines represent the upper and lower limits. Outliers were not included in the plot. Different symbols (* and **) represent significant difference.
FIGURE 4 in Trophic ecology and resource partitioning of Haemulidae species along the Northeastern Brazilian continental shelf
FIGURE 4 | Isotopic ratios of carbon (δ¹³C) and nitrogen (δ15N) of Haemulon plumierii, H. aurolineatum, and H. squamipinna in different habitats and shelf position captured along the northeast coast of Brazil. The black horizontal line and box represent the median value and the interquartile range, while the vertical lines represent the upper and lower limits. Outliers were not included in the plot. Different symbols (* and **) represent significant difference.
Extended dataset and Coreq Checklist for 'Teaching critical thinking about health information and choices in secondary schools: human-centred design of digital resources"
<p>Individual user test interview guides and group interview guides for multiple stakeholders</p> <p>Coreq checklist</p> <p>Design reporting checklist</p>
Figure 3. – A in Macrozoobenthic resources use by teleosts in the Gironde estuary
Figure 3. – A: Dendrogram obtained from cluster analysis of the macrozoobenthic composition in the Gironde estuary (based on numerical percentages (%N) according to Bray-Curtis similarity); the red line indicates the threshold used by SIMPROF to separate the groups. B: Contributions (%)of the discriminating taxa in each macrozoobenthic assemblage of the Gironde estuary identified by SIMPROF determined using similarity percentage analysis (SIMPER). Cut off for low contributions: 90%.
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.