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Figure 7 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 7. Mismatch distribution of the Necromys lasiurus samples from the Rio de Janeiro state, Brazil. The observed frequencies are shown in red, and the expected frequencies, in green.
Figure 8 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 8. Plot of the DIYABC Random Forest simulations for the five hypothetical demographic scenarios proposed for the Necromys lasiurus groups (Atlantic Forest ecoregion, Atlantic Forest domain of Rio de Janeiro state, and Arid Diagonal ecoregion), and the location of the observed data, used to validate the best scenario. In this analysis, scenario 1 received 99 "votes", scenario 2, 398 "votes", scenario 3, 229 "votes", and scenario 4, 76 "votes", with 198 "votes" for scenario 5.
Figure 4 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 4. Haplotype network of the Necromys lasiurus Cytochrome b sequences analyzed in the present study, color-coded according to the results of the Bayesian Analysis of Population Structure (BAPS; see Fig. 6). (AF–RJ) Atlantic Forest domain of Rio de Janeiro state. Mutational steps are indicated with stripes.
Figure 5 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 5. Haplotype network of the Necromys lasiurus Cytochrome b sequences obtained in the present study from localities in the Atlantic Forest and Pampa biomes (AF), color-coded by locality. (ARG) Argentina, (MS) Mato Grosso do Sul, (MG) Minas Gerais, (PY) Paraguay, (PR) Paraná, (RJ) Rio de Janeiro, (RS) Rio Grande do Sul, (SC) Santa Catarina, (SP) São Paulo. Mutational steps are indicated with stripes.
Figure 2 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 2. The demographic scenarios formulated for testing in the DIYABC Random Forest analysis. Pop1 = Arid Diagonal ecoregion (AD), Pop2 = Atlantic Forest ecoregion (AF), Pop3 = Atlantic Forest of Rio de Janeiro state (AF-RJ). The scenarios tested here were: (1) AD as the ancestral population of AF, which originates AF-RJ, (2) AD as the ancestral population, which mixes with AF before originating AF-RJ, (3) AF-RJ as the ancestral population, which mixes with AF before originating AD, (4) AD as the ancestral population of AF and AF-RJ, and (5) AD as the ancestral population, mixing with AF-RJ before originating AF.
Figure 3 in Necromys lasiurus (Cricetidae: Sigmodontinae) from open areas of the Atlantic Forest of Rio de Janeiro: Population structure and implications for the monitoring of hantaviruses
Figure 3. Consensus phylogenetic tree produced by the Maximum Likelihood (ML) and Bayesian Inference (BI) analyses of the Cytochrome b sequences of Necromys lasiurus included in the present study. The clades are color-coded according to the results of the Bayesian Analysis of Population Structure (BAPS; see Fig. 6). The samples shaded green are from Atlantic Forest domain of Rio de Janeiro state. The circles at each branch represent the bootstrap values of the ML (left semi-circles) and the posterior probabilities of the BI (right semi-circles). In the left semi-circles, white indicates bootstrap values of 0.40–0.66, while gray represents values of 0.66–0.90, and black, values of over 0.90. In the right semi-circles, white indicates a posterior probability of less than 0.64, with gray representing posterior probabilities of 0.64–0.90, and black, values of over 0.90.
Figure 2 in A 6-year field monitoring of fall armyworm, Spodoptera frugiperda, in transgenic Bt maize in Brazil
Figure 2 Average number of fall armyworm larvae, Spodoptera frugiperda, collected in Bt hybrids, non-Bt hybrids and non-Bt hybrids sprayed with methomyl in 2015 and 2016 (period II), in Sete Lagoas and Nova Porteirinha. Average followed by the same upper-case letter between municipalities and same lower-case letter in each municipality do not differ statistically (Scott-Knott test at p ≤ 0.05).
Figure 1 in A 6-year field monitoring of fall armyworm, Spodoptera frugiperda, in transgenic Bt maize in Brazil
Figure 1 Average number of fall armyworm larvae, Spodoptera frugiperda collected in Bt hybrids, non-Bt hybrids and non-Bt hybrids sprayed with methomyl from 2011 to 2014 (period I), in Sete Lagoas and Nova Porteirinha. Average followed by the same upper-case letter between municipalities and same lower-case letter in each municipality do not differ statistically (Scott-Knott test at p ≤ 0.05).
Figure 2 in Molecular tool for monitoring the safety of Aedes (Stegomyia) aegypti Rockefeller rearing in arthropod containment facilities
Figure 2 Single Nucleotide Polymorphisms sites distribution in Aedes aegypti haplotypes according to the ND5 molecular marker. A) Phylogenetic estimation using the UPGMA method. Aa Rock 1 to 22, A. aegypti Rockefeller sequences obtained from 22 laboratory-bred Rock strain individuals. Aa, A. aegypti sequences obtained from towns located in the southeast of Buenos Aires Province (Lezama (LEZ), Castelli (CAS), Dolores (DOL), San Clemente del Tuyú (SC), Chascomús (CHA), La Plata City (LP) and from Buenos Aires City (BA). H1 to H14, 14 haplotypes reported by Albrieu Llinás and Gardenal (2012) and Díaz-Nieto et al. (2016) Rock contig 1 to 14, Illumina-contigs (A. aegypti Rock_Contig 1 to 14). Aa LVP, sequence from mitochondrial genome of A. aegypti Liverpool strain (LVP_AGWG). LVPib, A. aegypti inbred sub-strain LVPib12 according to Table 1. B) Its distribution along South America. The map was drawn from free maps of the website of the National Geographic Institute http://www.ign.gob.ar/AreaServicios/Descargas/MapasEscolares. The areas on the map were colored using Adobe Illustrator CS6 program.
Fig. 9. Core ARD 3 in The Use of Testate Amoebae in Monitoring Peatland Restoration Management: Case Studies from North West England and Ireland
Fig. 9. Core ARD 3 selected percentage testate amoebae diagram, data are presented as percentages of the total testates in each level. The diagram has been subdivided into zones to better aid interpretation. Note that in the older literature (including all the more accessible identification guides) Archerella flavum is refered to as Amphitrema flavum.
Fig. 5. Testate amoebae from the top 20 in The Use of Testate Amoebae in Monitoring Peatland Restoration Management: Case Studies from North West England and Ireland
Fig. 5. Testate amoebae from the top 20 cm of Holcroft Moss, data are presented as percentages of the total testates in each level. The diagram has been subdivided into zones (HM I – HMIV) to better aid interpretation. The zones were defined by a combination of simple inspection and multivariate analysis.
Fig. 8. Core ARD 2 in The Use of Testate Amoebae in Monitoring Peatland Restoration Management: Case Studies from North West England and Ireland
Fig. 8. Core ARD 2 selected percentage testate amoebae diagram, data are presented as percentages of the total testates in each level. The diagram has been subdivided into zones to better aid interpretation. Note that in the older literature (including all the more accessible identification guides) Archerella flavum is refered to as Amphitrema flavum.
Fig. 7. Core ARD 1 in The Use of Testate Amoebae in Monitoring Peatland Restoration Management: Case Studies from North West England and Ireland
Fig. 7. Core ARD 1 selected percentage testate amoebae diagram, data are presented as percentages of the total testates in each level. The diagram has been subdivided into zones to better aid interpretation. Note that in the older literature (including all the more accessible identification guides) Archerella flavum is refered to as Amphitrema flavum and Padaungiolla lageniformis is called Nebela lageniformis.
Figure 4 in Testing the Attractiveness and Efficacy of Baits for the Monitoring and Control of the Thief Ant, Solenopsis papuana
Figure 4. Mean number (±SE) of S. papuana attracted to pesticide baits at Lyon (top) and Pahole (bottom) over the course of three hours. Means sharing the same letters within each hour are not significantly different (Welch's ANOVA and Games-Howell posthoc test on log-transformed counts, α=0.05; depicted means and SEs are backtransformed). None of the means were significantly different at any hour at Pahole.
Figure 3 in Testing the Attractiveness and Efficacy of Baits for the Monitoring and Control of the Thief Ant, Solenopsis papuana
Figure 3. Percent of baits occupied by S. papuana at Lyon (top) and Pahole (bottom) over the course of three hours.
Figure 1 in Testing the Attractiveness and Efficacy of Baits for the Monitoring and Control of the Thief Ant, Solenopsis papuana
Figure 1. Layout of 5 x 5 m pesticide bait efficacy plots. Each plot contained nine bait stations and 25 monitoring points, whose positions were as indicated except on occasions when bait stations were shifted (see text). Monitoring points were either 0 m, 1.25 m, or 1.8 m from bait stations.
Figure 2 in Year-round monitoring of bat records in an urban area: Kharkiv (NE Ukraine), 2013, as a case study
Figure 2. Daily average temperature in Kharkiv during 2013. Division of the year by phenological periods (blue – winter, green – spring, yellow – summer, orange – autumn), and periods of the bat life cycle; total number of bat records in a day (red columns). I-XII - months of the year.
Figure 12 in Year-round monitoring of bat records in an urban area: Kharkiv (NE Ukraine), 2013, as a case study
Figure 12. The body mass dynamics by month for all E. serotinus during 2013 in Kharkiv. F – ♀♀, M – ♂♂ (red dot – mean value, line – median value, whiskers – min and max values, open dot – outlier).
Figure 8 in Year-round monitoring of bat records in an urban area: Kharkiv (NE Ukraine), 2013, as a case study
Figure 8. Relationship between the number of recorded bats and the percentage of those that were dead or significantly injured, as shown using k-mean clustering.
Figure 11 in Year-round monitoring of bat records in an urban area: Kharkiv (NE Ukraine), 2013, as a case study
Figure 11. The body mass dynamics by month of first-year individuals of N. noctula during 2013 in Kharkiv. F – ♀♀, M – ♂♂ (black dot – mean value, line – median value, whiskers – min and max values, open dot – outlier).
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.