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Figure 3 in On the successful acclimatization of the Colorado potato beetle Leptinotarsa decemlineata (Say, 1824) (Coleoptera: Chrysomelidae) in Primorsky kray
Figure 3. Modelling of the ecological niches of the Colorado potato beetle for the Far Eastern, European, and North American habitats by the method of metric two-dimensional scaling using the Jaccard coefficient.
Figure 1 in On the successful acclimatization of the Colorado potato beetle Leptinotarsa decemlineata (Say, 1824) (Coleoptera: Chrysomelidae) in Primorsky kray
Figure 1. Dynamics of the population size of the Colorado potato beetle over the year of the research (population peaks are shown on average for Primorsky Kray).
Good vibrations: Remote-tactile foraging success of wading birds is positively affected by the water content of substrates they forage in
<p>Some taxa of wading birds can locate buried prey by detecting vibratory cues in their foraging substrates while probe-foraging, using a sensory modality called "remote-touch". As more saturated substrates transmit vibrations better, we predict that these birds can detect prey in wetter substrates more easily. We used sensory assays to test whether substrate water content affects the remote-touch foraging success rate of Hadeda Ibises, <em>Bostrychia hagedash</em>. The birds were more successful at locating prey using vibratory cues than when relying on random direct contact with the beak alone. Their remote-touch foraging success rate was positively affected by increasing water contents of the soil, but water content had no effect on their direct contact foraging success (indicating this is not an artefact of ease of probing). This may partially explain the link between the range expansion of this species in southern Africa and increased soil irrigation, as it is easier for the birds to detect prey in wetter substrates. Thus, it is likely that the distribution of other remote-touch foraging birds is affected by substrate water content, and as many of these species are endangered and rely on sensitive wetland habitats, it is vital to understand their sensory requirements for foraging.</p>
Data from: Variation in nuptial colour in relation to sex, individual quality and mating success in the sex-role reversed red phalarope (Phalaropus fulicarius)
<p>In most bird species, males are more ornamented and compete for females, who contribute more to offspring care. In a minority of species this pattern is reversed, with more colourful females competing for mates and males taking care of parental duties. In such sex-role reversed species, the links between colourful ornamentation, individual quality and mating success are not well established. The red phalarope (<em>Phalaropus fulicarius</em>) is a colourful sex-role reversed migratory shorebird with regular social polyandry, in which both sexes show considerable colour variation. Here, we describe sex differences in colour and quantify associations between colour variation and indicators of quality and mating success in both sexes. Using a large sample of photos collected across three consecutive years on the Arctic breeding grounds, we scored colour variation for four body parts (bill, crown, cheek and breast), and analysed scores separately and combined into an overall colour score. Females were more colourful and larger than males, and individuals could be unambiguously sexed by crown colour. Nevertheless, there was substantial variation within sexes and some overlap between males and females in bill, cheek, breast, and overall colour scores. Assortative mating by colour was only found for the bill. Colour variation did not correlate with plasma testosterone levels, except for male cheek colour. Females in better body condition had yellower bills and higher overall colour scores, while early-arriving birds had higher breast and overall scores. Phalaropes that bred locally were heavier than those that did not, but they did not have higher colour scores. Female colour variation did not predict the probability of local social polyandry nor variation in clutch size, and male coloration did not predict the probability of nest predation. In conclusion, phalarope colour variation showed modest correlations with individual quality and was unrelated to variation in local reproductive success. </p>
Figure 4 in High-resolution stratigraphy of the Changhsingian (Late Permian) successions of NW Iran and the Transcaucasus based on lithological features, conodonts and ammonoids
Figure 4. Columnar sections of the Paratirolites Limestone in the Aras Valley, Ali Bashi 4 and Ali Bashi 1 sections with their conodont and ammonoid zonation as well as the weight % of CaCO3 (determined by the weight loss–acid digestion method) of the Ali Bashi 1 section.
Figure 1 in High-resolution stratigraphy of the Changhsingian (Late Permian) successions of NW Iran and the Transcaucasus based on lithological features, conodonts and ammonoids
Figure 1. (A) Geographical position of Permian–Triassic boundary sections in the Transcaucasus and in NW Iran (after Arakelyan et al., 1965); sections investigated in this study are highlighted. (B) Palaeogeographic position of the Julfa area (after Stampfli and Borel, 2002).
Figure 3. Ali Bashi 4 in High-resolution stratigraphy of the Changhsingian (Late Permian) successions of NW Iran and the Transcaucasus based on lithological features, conodonts and ammonoids
Figure 3. Ali Bashi 4 section and columnar sections of the entire Changhsingian in Ali Bashi 4, Ali Bashi 1 and Ali Bashi M sections with their conodont zonation.
F I G U R E 1 in Evidence of successful recruitment of non-native pink salmon Oncorhynchus gorbuscha in Iceland
F I G U R E 1 Distribution of pink salmon Oncorhynchus gorbuscha in Iceland. (a) Location of rivers in Iceland with reported catches of adult O. gorbuscha in 2000, 2005, and annually from 2015 according to Bárðarson et al. (2022), and (b) locations of fishing surveys in 2022 to catch smolts of O. gorbuscha in three rivers of southwest Iceland
Fig. 2 in Reproductive success of Trypoxylon (Trypargilum) lactitarse (Hymenoptera: Crabronidae) in a fragmented landscape
Fig. 2. StUdY areas in the mUnicipalities of Goianápolis, Leopoldo de BUlhões, BonfinÓpolis, Anápolis, and Hidrolânida, state of Goiás, Brazil.
Fig. 7 in Reproductive success of Trypoxylon (Trypargilum) lactitarse (Hymenoptera: Crabronidae) in a fragmented landscape
Fig. 7. Results of the Generalized Linear Mixed Model (GLMM) between parasitoidism rate (proportion of nests attacked by parasitoids) and fragment size. No difference was foUnd between small and large fragments for parasitoidism rate (z = 0.394, p = 0.694).
Fig. 6 in Reproductive success of Trypoxylon (Trypargilum) lactitarse (Hymenoptera: Crabronidae) in a fragmented landscape
Fig. 6. Results of the Generalized Linear Mixed Model (GLMM) between the numbers of adults emerged from each nest and fragment size. No difference was foUnd between small and large fragments for sUrvival rate (z = 0.784, p = 0.433).
Fig. 1 in Reproductive success of Trypoxylon (Trypargilum) lactitarse (Hymenoptera: Crabronidae) in a fragmented landscape
Fig. 1. Specimen of Trypoxylon (Trypargilum) lactitarse Saussure, 1867 (HYmenoptera: Crabronidae) captured in Goianápolis, state of Goiás, Brazil.
Fig. 5 in Reproductive success of Trypoxylon (Trypargilum) lactitarse (Hymenoptera: Crabronidae) in a fragmented landscape
Fig. 5. Results of the Generalized Linear Model (GLM) between fragment size and the average nUmber of cells per fragment. No difference was found between small and large fragments for mean number of nest cells (z = 1.155, p = 0.248).
Fig. 4 in Reproductive success of Trypoxylon (Trypargilum) lactitarse (Hymenoptera: Crabronidae) in a fragmented landscape
Fig. 4. Results of the Generalized Linear Model (GLM) between the nests foundation rate and the log of fragment area. The foundation rate increasing with increasing fragment area (z = 8.189, p <0.001).
Fig. 9 in Reproductive success of Trypoxylon (Trypargilum) lactitarse (Hymenoptera: Crabronidae) in a fragmented landscape
Fig. 9. Results of the Generalized Linear Mixed Model (GLMM) between sex ratios and fragment size category. Despite a tendency for a biased sex ratio in favor females in small areas, the difference was not significant (z = 1.224, p = 0.221).
Fig. 8 in Reproductive success of Trypoxylon (Trypargilum) lactitarse (Hymenoptera: Crabronidae) in a fragmented landscape
Fig. 8. Results of the Linear Mixed Model (LMM) between the intergular length of each individual and fragment size category. Fragment size was foUnd to have no inflUence on the size of hatched wasps (z = -0.741, p = 0.982).
Fig. 4 in First report of successful Naegleria detection from environmental resources of some selected areas of Rawlakot, Azad Jammu and Kashmir, Pakistan
Fig. 4. (A) Primary sequence alignment was obtained with reference sequences already available in Gen Bank. Neighbour joining phylogenetic relationship between the partial sequences of 18S rRNA of Naegleria from isolates obtained in this study and reference sequences present in Gen Bank. (B). Neighbour joining phylogenetic relationship between the partial sequences of 18S rRNA of Naegleria from isolates obtained in this study and reference sequences present in Gen Bank. The tree was generated in CLC Main Workbench version 6.6.2 using 1000 bootstrap replications. Branch length is proportional to the calculated genetic distance (scale shown).
Fig. 3 in First report of successful Naegleria detection from environmental resources of some selected areas of Rawlakot, Azad Jammu and Kashmir, Pakistan
Fig. 3. To confirm the incidence of Naegleria populations in water and soil samples, DNA were extracted from amoebae retrieved from NNA plates with 2 weeks time and utilized for PCR examination as demonstrated in methods section. PCR products were obtained in all DNA samples verifying the existence of Naegleria. Lane 1: 250 bp DNA ladder; Lane 2: RAW STW4; Lane 3: RAW LW1; Lane 4: RAW PW8; Lane 5: RAW DS1; Lane 6: RAW STW7; Lane 7: RAW TW3; Lane 8: RAW DS2; Lane 9: RAW DS3; Lane 10: RAW DS4; Lane 11: RAW DS5; Lane 12: RAW DS6; Lane 13: RAW DS7; Lane 14: RAW DS8; Lane 15: RAW DS9; Lane 16: RAW DS10; Lane 17: +ve control; Lane 18: -ve control.
Fig. 2 in First report of successful Naegleria detection from environmental resources of some selected areas of Rawlakot, Azad Jammu and Kashmir, Pakistan
Fig. 2. Naegleria cysts detection on NNA under inverted microscope (×400). Water and soil samples were filtered and pored respectively and inoculated on NNA plate seeded with E. coli as demonstrated in methods section. Plates were monitored for amoebic outgrowth up to two weeks, and images were taken. Only representative samples of water (a) RAW STW7 and soil (b) RAW DS7 are shown here.
ATMO-ACCESS WP2_Success Story_TNA PIRAThe
<p>Users across Europe and beyond have used ATMO-ACCESS services to enhance their research projects. We are collecting stories from users to illustrate their access experience and make the benefits of transnational access more tangible to new users.</p> <p>In this video, you will discover Martin Ramacher - Postdoctoral scientist in the Department of Chemical Transport Modelling at the <a href="https://www.linkedin.com/company/hereon-helmholtz/" target="_self">Helmholtz-Zentrum Hereon-</a>'s ATMO-ACCESS success story. He explains his project PIRAThe " Particulates infiltrating residencies in Athens" undertaken at ATMOS, National observatory of Athens. You will learn how this groundbreaking European project facilitates access to atmospheric research infrastructures and propels scientific innovation.</p> <p>On the programme:</p> <ul> <li>Dr. Martin Ramacher's entertaining testimonial</li> <li>Overview of the scientific results made possible by ATMO-ACCESS</li> <li>Focus on an exposure study based on indoor environment</li> </ul> <p>Find out more here : <a href="https://www.atmo-access.eu/meetourusers/">https://www.atmo-access.eu/meetourusers/</a></p>
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.