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Figure 5 in Tanaidacea (Crustacea: Peracarida) of the northeast Atlantic: Chauliopleona Dojiri and Sieg, 1997 and Saurotipleona n. gen. from the 'Atlantic Margin'
Figure 5. Chauliopleona armata. Non-ovigerous female, BIOICE Stn 2856: (A) habitus; (B) pleonal sternites, lateral; (C) antennule; (D) antenna; (E) uropod. Scale bars: (i) 1 mm for A; (ii) 0.5 mm for B; (iii) 0.25 mm for C–E.
Figure 2 in Tanaidacea (Crustacea: Peracarida) of the northeast Atlantic: Chauliopleona Dojiri and Sieg, 1997 and Saurotipleona n. gen. from the 'Atlantic Margin'
Figure 2. Chauliopleona amdrupii. Non-ovigerous female, BIOICE Stn 3282: (A) habitus; (B) pleonal sternites, lateral; (C) antennule; (D) antenna; (E) pleopod endopod (setae very finely plumose, omitted for clarity; and following); (F) pleopod exopod; (G) uropod. Scale bar: 1 mm for A; 0.5 mm for B; 0.25 mm for C–G.
Figure 7 in Tanaidacea (Crustacea: Peracarida) of the northeast Atlantic: Chauliopleona Dojiri and Sieg, 1997 and Saurotipleona n. gen. from the 'Atlantic Margin'
Figure 7. Chauliopleona armata. Non-ovigerous female, BIOICE Stn 2856: (A–F) pereopods 1–6 respectively; (G) pleopod (setae very finely plumose, omitted for clarity). Scale bar 0.25 mm.
Research data for: "Quaternary seismo-stratigraphy and tectono-sedimentary evolution of the north Tunisian continental margin"
<p>The data are the figures in high-resolution for the article: "Quaternary seismo-stratigraphy and tectono-sedimentary evolution of the north Tunisian continental margin".</p>
Supporting_information_of_Evalution of the High-degree Gravity Model at the Eastern Margin of Tibetan Plateau
<p>dataset for the paper "Evalution of the High-degree Gravity Model at the Eastern Margin of Tibetan Plateau"</p>
Greater Sage-grouse nest bowls buffer microclimate in a post-megafire landscape although effects on nest survival are marginal
<p class="Disstext">Temperature at fine spatial scales is an important driver of nest site selection for many avian species during the breeding season and can influence nest success. Sagebrush (<i>Artemisia spp.</i>) communities have areas with high levels of vegetation heterogeneity and high thermal variation; however, fire removes vegetation that provides protection from predators and extreme environmental conditions. To examine the influence of microclimates on Greater Sage-Grouse (<i>Centrocercus urophasianus</i>) nest site selection and nest success in a fire affected landscape, we measured black bulb temperature (<i>T<sub>bb</sub></i>) and vegetation attributes (e.g. visual obstruction) at 3 spatial scales (i.e. nest bowl, microsite, and landscape) in unburned and burned areas. Nest bowls exhibited greater buffering of <i>T<sub>bb</sub></i> than both nearby microsites and the broader landscape. Notably, nest bowls were warmer in cold temperatures, and cooler in hot temperatures, than nearby microsites and the broader landscape, regardless of burn stage. Nest survival (NS) was higher for nests in unburned areas compared to nests in burned areas (unburned NS = 0.43, 95% CI: 0.33 to 0.54; burned NS = 0.24, 95% CI: 0.10 to 0.46). Amount of bare ground was negatively associated with nest survival, but effects diminished as the amount of bare ground reached very low levels. Shrub height and visual obstruction were positively associated with nest survival during the entire study period whereas, minimum <i>T<sub>bb</sub></i> had a weaker effect. Our findings demonstrate that thermoregulatory selection by Greater Sage-Grouse at nest sites had marginal effects on their nest survival. However, given that increases in vegetation structure (e.g. shrub height) provide thermal refuge and increase nest survival, vegetation remnants or regeneration in a post-fire landscape could be critical to Greater Sage-Grouse nesting ecology.</p>
Biomarker indices and concentrations and biomarker-based temperature estimates from Iberian Margin cores MD99-2331, MD95-2040 and MD95-2042 (160–45 ka BP)
<p>Biomarker metadata and data for cores MD99-2331, MD95-2040, and MD95-2042: depth, age, summed OH-GDGT, iGDGT, and di-unsaturated and tri-unsaturated C<sub>37</sub> alkenone concentrations, OH-GDGT-based, iGDGT-based, and alkenone-based paleothermometric indices, GDGT 2/GDGT-3 ratio, and biomarker-based sea surface temperature (SST) and 0‐ to 200‐m sea temperature (subT; gamma function probability distribution for target temperatures with a = 4.5 and b = 15) estimates. The 1σ analytical uncertainties are 0.008 (0.5 °C) for RI-OH, 0.007 (0.2 °C) for RI-OH′, 0.003 (0.1 °C) for TEX<sub>86</sub>, 0.263 for GDGT-2/GDGT-3, and 0.010 (0.26 °C) for U<sup>K′</sup><sub>37</sub>. RI-OH′-SST estimates are from the following global calibration: SST = (RI-OH′ + 0.029)/0.0422 (Fietz et al., 2020). RI-OH-SST estimates are from the following global calibration: SST = (RI-OH − 1.11)/0.018 (Lü et al., 2015). TEX<sub>86</sub><sup>H</sup>-SST estimates are from the following regional paleocalibration: SST = 68.4 × TEX<sub>86</sub><sup>H</sup> + 33.0 (Darfeuil et al., 2016). U<sup>K′</sup><sub>37</sub>-SST estimates are from the following global calibration: SST = 29.876 × U<sup>K′</sup><sub>37</sub> − 1.334 (Conte et al., 2006). Bayesian calibrations were also used for TEX<sub>86</sub>-SST and TEX<sub>86</sub>-subT estimates (BAYSPAR; Tierney & Tingley, 2014, 2015) and for U<sup>K′</sup><sub>37</sub>-SST estimates (BAYSPLINE; Tierney & Tingley, 2018). Core MD95-2040 U<sup>K′</sup><sub>37</sub> and summed di-unsaturated and tri-unsaturated C<sub>37</sub> alkenone concentration data are from Pailler and Bard (2002). Core MD95-2042 U<sup>K′</sup><sub>37</sub> and summed di-unsaturated and tri-unsaturated C<sub>37</sub> alkenone concentration data covering the 70–45 ka BP period are from Darfeuil et al. (2016). GDGT data for core MD95-2042 samples with TEX<sub>86</sub> values below 0.4 are deemed anomalous and are thus excluded from any description and analysis. Cmbsf, centimeters below sea floor; MIS, marine isotope stage; DO, Dansgaard–Oeschger event; GS, Greenland stadial; H, Heinrich event; GDGT, glycerol dialkyl glycerol tetraether; and N/A, not available.</p>
Fig. 11 in New and known Halichoanolaimus de Man, 1886 species (Nematoda: Selachinematidae) from New Zealand's continental margin
Fig. 11. Halichoanolaimus pumilussp. nov. Light micrographs of holotype ♂ (NIWA 139250). A. Junction of pharynx and intestine, showing position of secretory-excretory gland (seg) and pseudocoelomocyte (pc). B. Mid-body cuticle, showing position of pore complexes (arrows). C. Cuticle near tail region, showing position of pore complexes (arrows). D. Spicular apparatus and precloacal supplements (numbered 1 to 3). Scale bar = 20 µm.
Fig. 9 in New and known Halichoanolaimus de Man, 1886 species (Nematoda: Selachinematidae) from New Zealand's continental margin
Fig. 9. Halichoanolaimus funestus sp. nov. Light micrographs of paratype ♀ (NIWA 139249). A. Cuticle in mid-body region showing arrangement of pore complexes. B. Cuticle near tail region showing arrangement of pore complexes. Scale bar = 10 µm.
FIGURE. 4 in A novel species Spinonema gracilispiculum sp. n. (Nematoda: Desmodoridae) from the oxygen minimum zone of Eastern Arabian Sea margin
FIGURE. 4 Spinonema gracilispiculum sp. n. Paratype entire female. (Scale bar 50 µm).
FIGURE. 3 in A novel species Spinonema gracilispiculum sp. n. (Nematoda: Desmodoridae) from the oxygen minimum zone of Eastern Arabian Sea margin
FIGURE. 3 Spinonema gracilispiculum sp. n. Paratype entire male. (Scale bar 20 µm).
PLATE 1 in A novel species Spinonema gracilispiculum sp. n. (Nematoda: Desmodoridae) from the oxygen minimum zone of Eastern Arabian Sea margin
PLATE 1. Study area showing the type locality of Spinonema gracilispiculum sp. n.
Data from: Lack of genetic variation prevents adaptation at the geographic range margin in a damselfly
What limits a species' distribution in the absence of physical barriers? Genetic load due to asymmetric gene flow and the absence of genetic variation due to lack of gene flow are hypothesized to constrain adaptation to novel environments in marginal populations, preventing range expansion. Here, we examined the genetic structure and geographic variation in morphological traits in two damselflies (Ischnura asiatica and I. senegalensis) along a latitudinal gradient in Japan, which is the distribution centre of I. asiatica and the northern limit of I. senegalensis. Genomewide genetic analyses found a loss of genetic diversity at the edge of distribution in I. senegalensis but consistently high diversity in I. asiatica. Gene flow was asymmetric in a south–north direction in both species. Although body size and wing loading showed decreasing latitudinal clines (smaller in north) in I. asiatica in Japan, increasing latitudinal clines (larger in north) in these phenotypic markers were observed in I. senegalensis, particularly near the northern boundary, which coincided well with the location where genetic diversity began a sharp decline. In ectothermic animals, increasing latitudinal cline in these traits was suggested to be established when they failed to adapt to thermal gradient. Therefore, our findings support the possibility that a lack of genetic variation rather than geneflow swamping is responsible for the constraint of adaptation at the margin of geographic distribution.
Data from: Marginal sinks or potential refuges? Costs and benefits for coral-obligate reef fishes at deep range margins
Escalating climate-related disturbances and asymmetric habitat losses will increasingly result in species living in more marginal habitats. Marginal habitats may represent important refuges if individuals can acquire adequate resources to survive and reproduce. However, resources at range margins are often distributed more sparsely; therefore increased effort to acquire resources can result in sub-optimal performance and lead to marginal populations becoming non-self-sustaining sink-populations. Shifting resource availability is likely to be particularly problematic for dietary specialists. Here, we use extensive in-situ behavioural observations and physiological condition measurements to examine the costs and benefits of resource-acquisition along a depth-gradient in two obligate corallivore reef fishes with contrasting levels of dietary specialisiation. As expected, the space utilised to secure coral-resources increased towards the lower depth margin. However, increased territory sizes resulted in equal or greater availability of resources within deeper territories. In addition, we observed decreased competition and no differences in foraging-distance, pairing-behaviour, body condition or fecundity at greater depths. Contrary to expectation, our results demonstrate that coral-obligate fishes can select high-quality coral patches on the deeper-reef to access equal or greater resources than their shallow-water counterparts, with no extra costs. This suggests depth offers a viable potential refuge for some at-risk coral-specialist fishes.
Data from: Comparative dynamics of microglialand glioma cell motility at the infiltrative margin of brain tumours
Microglia are a major cellular component of gliomas, and abundant in the centre of the tumour and at the infiltrative margins. While glioma is a notoriously infiltrative disease, the dynamics of microglia and glioma migratory patterns have not been well characterized. To investigate the migratory behaviour of microglia and glioma cells at the infiltrative edge, we performed two-colour time-lapse fluorescence microscopy of brain slices generated from a platelet-derived growth factor-B (PDGFB)-driven rat model of glioma, in which glioma cells and microglia were each labelled with one of two different fluorescent markers. We used mathematical techniques to analyse glioma cells and microglia motility with both single cell tracking and particle image velocimetry (PIV). Our results show microglia motility is strongly correlated with the presence of glioma, while the correlation of the speeds of glioma cells and microglia was variable and weak. Additionally, we showed that microglia and glioma cells exhibit different types of diffusive migratory behaviour. Microglia movement fit a simple random walk, while glioma cell movement fits a super diffusion pattern. These results show that glioma cells stimulate microglia motility at the infiltrative margins, creating a correlation between the spatial distribution of glioma cells and the pattern of microglia motility.
FIGURE 1 in Bathyal Mollusca from the cold-water coral biotope of Santa Maria di Leuca (Apulian margin, southern Italy)
FIGURE 1. Map of the study area. Inset map after Hans Braxmeier (www.maps-for-free.com).
Figure 11. Elytral margin color and maculation. A. Cicindela d in A morphological and mtDNA analysis of the badlands tiger beetle, Cicindela (s. str.) decemnotata Say, 1817 (Coleoptera: Carabidae: Cicindelinae) with the description of three new subspecies C. Barry Knisley
Figure 11. Elytral margin color and maculation. A. Cicindela d. bonnevillensis, female, "UT: Tooele County: Dugway Proving Grounds, 10-V-2009" (MGKC). B. Cicindela d. montevolans, female, "UT: Cache Co, Swan Flat Rd. W of Hwy 89, 19-VI-2010" (MGKC). C. Cicindela d. decemnotata, female,"MT: Broadwater Co., SE side Canyon Ferry Res., 7-V-2007" (MGKC). D. Cicindela d. decemnotata, male, "MT: Broadwater Co., Centennial Valley, 27 May 1999" (MGKC).
Deep mantle component and continental crust remobilization in the source of Vesteris Seamount, East Greenland margin
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Figure 7 from: Betters MJ, Cordes EE (2024) New records of Provanna (Gastropoda, Provannidae) from the Costa Rica Margin and an identification key for the genus. ZooKeys 1189: 1-32. https://doi.org/10.3897/zookeys.1189.109734
Figure 7 Bayesian topology of Abyssochrysoid gastropod mollusks A topology based on a 449 bp region of the mitochondrial CO1 gene. Topology was inferred using the HKY+G+I substitution model B topology based on a 266 bp region of the nuclear H3 gene. Novel sequences are bolded and highlighted in yellow. Numbers above branch nodes represent Bayesian posterior probabilities. Numbers below branch nodes represent the proportion of replicate trees in which the associated taxa clustered together in the bootstrap test (10,000 replicates). Only values above 50% are shown. The tree is drawn to scale, with branch lengths representing the number of base substitutions accumulated over time.
Figure 5 from: Betters MJ, Cordes EE (2024) New records of Provanna (Gastropoda, Provannidae) from the Costa Rica Margin and an identification key for the genus. ZooKeys 1189: 1-32. https://doi.org/10.3897/zookeys.1189.109734
Figure 5 Representative radulae of Costa Rican Provanna species AP. laevis from mussel shells BP. laevis from unknown substrate CP. ios from mussel shells DP. ios from unknown substrate E, FP. pacifica from wood. Scale bars: 20 µm (F); 30 µm (E); 40 µm (C); 50 µm (A, B, D).
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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.