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Supplementary material 4 from: Chen H-P, Kikuchi N, Shiao S-F (2024) Discovery of a new Pseudalomya Telenga, 1930 (Hymenoptera, Ichneumonidae, Ichneumoninae) species from Taiwan and its implications for the systematic position of this genus. Journal of Hymenoptera Research 97: 277-296. https://doi.org/10.3897/jhr.97.119470
Complete maximum likelihood trees reconstructed using the COI, 28S, 18S, and concatenated 18S+28S+COI datasets
Exploring the interfacial behavior of ruthenium complexes in ionic liquids: implications for supported ionic liquid phase catalysts, DOI: 10.1039/D4CP00247D
<p>The interaction of metal complexes with ionic liquids, with a particular focus on the stability and surface concentration of the metal centers, is crucial in applications involving catalysts based on supported ionic liquids. In this study, we synthesized the complexes [Ru(tpy)(bpy)Cl][PF<sub>6</sub>] and [Ru(tpy)(dcb)Cl][PF<sub>6</sub>] (tpy = 2,2′,2′′-terpyridine, bpy = 2,2′-bipyridine, dcb = 4,4′-dicarboxy-2,2′-bipyridine) and we prepared solutions using the ionic liquids (ILs) 1-ethyl-3-methylimidazolium acetate [C<sub>2</sub>C<sub>1</sub>Im][OAc] and 1-butyl-3-methylimidazolium hexafluorophosphate [C<sub>4</sub>C<sub>1</sub>Im][PF<sub>6</sub>]. The chemical environment of the Ru(II) metal center and the interfacial behavior of the complexes in the different IL solutions were determined using angle-resolved X-ray photoelectron spectroscopy (ARXPS). In [C<sub>4</sub>C<sub>1</sub>Im][PF<sub>6</sub>], [Ru(tpy)(bpy)Cl][PF<sub>6</sub>] maintains its chemical structure, while in [C<sub>2</sub>C<sub>1</sub>Im][OAc], partial changes in the chemical environment of the Ru center are indicated by XPS, likely due to ligand exchange. The presence of carboxylic acid functional groups in the bipyridyl ligand seems to inhibit this ligand exchange. The investigated complexes do not exhibit surface activity but are depleted from the IL/gas interface. These findings hold significance for the design of new supported ionic liquid phase catalysts based on Ru complexes.</p>
Trends in the global trade of live CITES-listed raptors: Trade volumes, spatiotemporal dynamics and conservation implications
<p>The global legal wildlife trade is worth US$4-20 billion to the world's economy every year. Raptors frequently enter the wildlife trade for use as display animals, by falconers or hobbyists for sport and recreation. Using data from the Convention on International Trade in Endangered Species of Wild Fauna and Flora's (CITES) Trade Database, we examined trends in the global, legal commercial trade of CITES-listed raptors between 1975-2020. Overall 272 raptor species were traded, totalling 188,149 individuals, with the number of traded raptors increasing over time. Hybrid Falcons (N = 50,366) were most commonly traded, comprising more than a third of the global diurnal CITES-listed raptor trade, followed by Gyrfalcons (<em>Falco rusticolus</em>; N = 30,510), Saker Falcons (<em>F. cherrug</em>; N = 21,679), Peregrine Falcons (<em>F. peregrinus</em>; N = 13,390) and Northern White-faced Owls (<em>Ptilopsis leucotis</em>; N = 6,725). More than half of wild-caught diurnal raptors were classified as globally threatened. The United Kingdom was the largest exporter of live raptors and the United Arab Emirates was the largest importer. More affluent countries were likely to import more raptors than those less affluent. Larger-bodied diurnal species were traded more relative to their smaller-bodied conspecifics. Following the introduction of the European Union's Wild Bird Trade Ban in 2005, the number of traded wild-caught raptors declined. Despite its limitations, the CITES Trade Database provides an important baseline of the legal trade of live raptors for commercial purposes. However, better understanding of illegal wildlife trade networks and smuggling routes, both on-the-ground and online, are essential for future conservation efforts.</p>
Strategic Game Theory Analysis of Digitalization in Raw Materials Manufacturing: A Case Study of China and Implications for Public Policy
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Karyotype diversification and evolution in Silene (Caryophyllaceae) representatives with sex chromosomes: taxonomic and biogeographical implications
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Data for "Replacing native grazers with livestock influences arthropods to have implications for ecosystem functions and disease"
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Mechanisms of bimodal magmatism generation beneath Southwest Indian ridges: Implications for the variable composition of MORBs
<p><strong><span>Table S1. </span></strong><span>Chemical and isotopic compositions for lavas and scorias from the Southwest Indian ridge</span></p> <p><strong><span> </span></strong><strong><span>Table S2.<span> </span></span></strong><span>Major, trace, volatile element of glasses and melt inclusions from SWIR reported here.</span></p> <p><strong><span> </span></strong><strong><span>Table S3. </span></strong><span>Sr isotopes of glass, plagioclase, melt inclusion from SWIR, and glass and plagioclase standards</span></p> <p><strong><span> </span></strong><strong><span>Table S4. </span></strong><span>Major element compositions for olivine, spinel and plagioclase from the Southwest Indian ridge</span></p> <p><span> </span><strong><span>Table S5.<span> </span></span></strong>Volatile element of olivine and plagioclase from SWIR reported here</p> <p><span> </span><strong><span>Table S6.<span> </span></span></strong>Average value for volatile element of glasses and melt inclusions in SWIR compared to seawater.</p> <p><span> </span><strong><span>Table S7.<span> </span></span></strong>Helium concentrations and blank corrected isotopic ratios of glasses from Southwest Indian ridge reported here.</p> <p><strong><span> </span></strong><strong><span>Table S8.<span> </span></span></strong>Vesicle quantification and gas mass fraction in D30 lava and scoria samples.</p> <p><strong><span> </span></strong><strong><span>Table S9.<span> </span></span></strong><span>Modelling endmembers compositions of DMM, LCC and SCLM.</span></p>
FESOM-REcoM model data: Predicting future distribution of Antarctic toothfish (Dissostichus mawsoni), with implications for Marine Protected Areas in the Southern Ocean
<p>This data set belongs to <strong>"Predicting future distribution of Antarctic toothfish (<em>Dissostichus mawsoni</em>), with implications for Marine Protected Areas in the Southern Ocean"</strong> by <a>Rebecca Konijnenberg, Cara Nissen, Casper Kraan, Jilda Cavacco, Peter Yates, Philippe Ziegler, and Katharina Teschke (in preparation). </a></p> <p>Contact for data set: cara.nissen@colorado.edu</p> <p>The data provided here are post-processed from the raw FESOM1.4-REcoM2 model output which can be obtained <br>at the World Data Center for Climate (WDCC): <a href="https://www.wdc-climate.de/ui/project?acronym=HighRes_highLat_SO">https://www.wdc-climate.de/ui/project?acronym=HighRes_highLat_SO</a></p> <p>simA (historical simulation): <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_hist_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_hist_vA_vC</a><br>simA-ssp126: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s126_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s126_vA_vC</a><br>simA-ssp245: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s245_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s245_vA_vC</a><br>simA-ssp370: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s370_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s370_vA_vC</a><br>simA-ssp585: <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s585_vA_vC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_A_s585_vA_vC</a><br>simB (control simulation): <a href="https://doi.org/10.26050/WDCC/FESOM14-REcoM2_B_1921_cA_cC">https://doi.org/10.26050/WDCC/FESOM14-REcoM2_B_1921_cA_cC</a></p> <p>Here, we provide decadal monthly climatologies of the following variables: sea-ice fraction, surface small-phytoplankton chlorophyll, surface diatom chlorophyll, as well as potential temperature, practical salinity and oxygen concentrations (all at the surface, at the bottom, at 100m, at 250m, at 500m, at 1000m, and at 1500m). For example, "tos" is temperature in ocean at surface", while "tob" is "temperature in ocean at bottom" (with <em>bottom</em> here being the deepest available model grid cell at each location).</p> <p>We also provide the script used to re-grid the original model output to the regular 0.25° x 0.0625° mesh used in this study. </p>
Data used in paper entitled "Symplecticity of the GORILLA guiding-center tracer and its implications for edge transport modeling"
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Geometry and segmentation of Cerberus Fossae, Mars: implications for marsquake properties.
<p>The dataset is made of three different files:</p> <p>- <a href="https://zenodo.org/api/files/3cf0564e-08ba-4561-b383-7db9438f6296/Perrin-et-al-Calculated-DEMs.zip">Perrin-et-al-Calculated-DEMs.zip </a>: we use HiRISE stereo pair images (https://www.uahirise.org/) to compute high-resolution DEMs along the Cerberus Fossae system using the SOCET SET mapping software (©BAE Systems). The stereo images are selected at different locations on the fossae in order to get an overall view of the lateral variation of the morphology along the Cerberus Fossae system. Stereo pairs were identified through ISIS image processing software package (USGS). They are calibrated based on the HiRISE camera specifications, corrected from jitter effects by the USGS ISIS software and then implemented into SOCET SET. Bundle adjustment is made in an absolute reference frame defined by MOLA. The coarser first iteration of DEM calculation is seeded on the gridded MOLA elevations at a resolution of 2 m/pixel. It is then followed by a refined DEM computation at higher resolution (up to 1 m/pixel). Post-processing DEM corrections are performed on outlying points to discard aberrant calculations.</p> <p>- <a href="https://zenodo.org/api/files/3cf0564e-08ba-4561-b383-7db9438f6296/Perrin-et-al-SegmentationFig4.xlsx">Perrin-et-al-SegmentationFig4.xlsx</a>: list of the segment names and lengths that have been identified along Cerberus Fossae, Mars.</p> <p>- <a href="https://zenodo.org/api/files/3cf0564e-08ba-4561-b383-7db9438f6296/Perrin-et-al-Width-Throw-Fig9.xlsx">Perrin-et-al-Width-Throw-Fig9.xlsx</a>: measurements of widths and throws performed along Cerberus Fossae (Graben 1). Throw measurements are from Vetterlein and Roberts 2010 (MOLA data). Width measurements have been done using CTX images. Wa, Wt and Wb are respectively apparent widths, and widths measured at the top and the bottom of inferred fault scarps (i.e., steepest slopes).</p> <p>See Perrin et al., submitted to JGR Planets 2021 for details.</p>
Landscape genomics of the streamside salamander: Implications for species management in the face of environmental change
<p>Understanding spatial patterns of genetic differentiation and local adaptation is critical in a period of rapid environmental change. Climate change and anthropogenic development have led to population declines and shifting geographic distributions in numerous species. The streamside salamander, <i>Ambystoma barbouri</i>, is an endemic amphibian with a small geographic range that predominantly inhabits small, ephemeral streams. As <i>A. barbouri</i> is listed as near-threatened by the IUCN, we describe range-wide patterns of genetic differentiation and adaptation to assess the species' potential to respond to environmental change. We use outlier scans and genetic-environment association analyses to identify genomic variation putatively underlying local adaptation across the species' geographic range. We find evidence for adaptation with a polygenic architecture and a set of candidate SNPs that identify genes putatively contributing to local adaptation. Our results build on earlier work that suggests that some <i>A. barbouri</i> populations are locally adapted despite evidence for asymmetric gene flow between the range core and periphery. Taken together, the body of work describing the evolutionary genetics of range limits in <i>A. barbouri</i> suggest that the species may be unlikely to respond naturally to environmental challenges through a range shift or <i>in situ</i> adaptation. We suggest that management efforts such as assisted migration may be necessary in the future.</p>
Figure 4. Gyrostigma rhinocerontis, first instar larva. A in Three-dimensional characterization of first instar horse and rhinoceros stomach bot fly larvae (Oestridae: Gasterophilinae: Gasterophilus, Gyrostigma): novel morphology and evolutionary implications
Figure 4. Gyrostigma rhinocerontis, first instar larva. A, habitus, ventral view. B, pseudocephalon and thoracic segments, ventral view. C, magnification of pseudocephalon and thoracic segments in ventral view, with depth coding. D, anal division, ventral view. E, pseudocephalon and thoracic segments, right lateral view. Scale bars: A, D = 100 µm; B–C, E = 50 µm. Abbreviations: aI–aVII, abdominal segments I–VII; adI–adIII, subdivisions I, II and III of anal division; is, intermediate sclerite; lb, labrum; mh, mouthhook; pb, parastomal bar; pc, pseudocephalon; tI–tIII, thoracic segments I–III.
Figure 3 in Three-dimensional characterization of first instar horse and rhinoceros stomach bot fly larvae (Oestridae: Gasterophilinae: Gasterophilus, Gyrostigma): novel morphology and evolutionary implications
Figure 3. Gasterophilus pecorum, first instar larva, ultrastructural details on thoracic (A–F) and abdominal (G) segments and anal division (H–M). A, anterior end, dorsal view. B, trichoid sensillum I and II, and a pit. C, a trichoid sensillum I and a pit. D, Keilin's organ. E, a trichoid sensillum I and Keilin's organ. F, body spines on third thoracic segment. G, body spines on first abdominal segment. H, arrangement of coeloconic and trichoid sensilla on dorsal (top) and ventral (bottom) surface of anal subdivision II. I, a coeloconic sensillum IV on anal subdivision II. J, a trichoid sensillum I and a coeloconic sensillum IV on anal sudivision II. K, posterior spiracles, posterior view. L, left posterior spiracle. M, serrated margins of a posterior spiracular slit, with the the pores shown in the box. Scale bars: A = 20 µm; B, D, J = 2.5 µm; C, M = 2 µm, 0.5 µm in the box; E, L = 5 µm; F–G = 25 µm; H = 15 µm; I–J = 1.5 µm; K = 30 µm. Abbreviations: adII, subdivision II of anal division; Ko, Keilin's organ; scIV, sensillum coeloconica IV; p, pit; TrI–II, trichoid sensillum I–II.
Figure 1. Gasterophilus pecorum, first instar larva. A in Three-dimensional characterization of first instar horse and rhinoceros stomach bot fly larvae (Oestridae: Gasterophilinae: Gasterophilus, Gyrostigma): novel morphology and evolutionary implications
Figure 1. Gasterophilus pecorum, first instar larva. A, habitus, ventral view. B, pseudocephalon and thoracic segments, dorsal view. C, E, pseudocephalon and thoracic segments, ventral view, with cephaloskeleton emphasized in E. D, F, pseudocephalon and thoracic segments, right lateral view, with depth coding; mouthhooks and labrum exposed in F. G, anal division, dorsal view. Scale bars: A = 100 µm; B–G = 50 µm. Abbreviations: aI–aVII, abdominal segments I–VII; adI– adIII, subdivisions I, II and III of anal division; dc, dorsal cornua; is, intermediate sclerite; lb, labrum; mh, mouthhook; pb, parastomal bar; pc, pseudocephalon; tI–tIII, thoracic segments I–III.
Figure 5 in Three-dimensional characterization of first instar horse and rhinoceros stomach bot fly larvae (Oestridae: Gasterophilinae: Gasterophilus, Gyrostigma): novel morphology and evolutionary implications
Figure 5. Gyrostigma rhinocerontis, first instar larva, ultrastructural details. A, habitus, ventral view. B, anterior end, ventral view. C, pseudocephalon, ventral view. D, pseudocephalon, anterior view. E, antennomaxillary sensory complex. F, mouthhooks, labrum and arrangement of the denticles. G, three thoracic segments, ventral view, showing arrangement of Keilin's organs and trichoid sensilla I. H, abdominal segments, ventral view. Scale bars: A = 0.3 mm; B = 68 µm; C, G–H = 20 µm; D = 19 µm; E–F = 10 µm. Abbreviations: aI–aVII, abdominal segments I–VII; adI–adIII, subdivisions I, II and III of anal division; and, antennal dome; ap, additional pit; asI–III, additional sensillum coeloconicum I–III; den, denticles; Ko, Keilin's organ; mp, maxillary palp; pc, pseudocephalon; sbI–II, sensilla basiconica I–II; scI–IV, sensilla coeloconica I–IV; tI–tIII, thoracic segments I–III; TrI, trichoid sensillum I.
Figure 7 in Three-dimensional characterization of first instar horse and rhinoceros stomach bot fly larvae (Oestridae: Gasterophilinae: Gasterophilus, Gyrostigma): novel morphology and evolutionary implications
Figure 7. Ancestral state reconstruction of the shape of first instar mouthhooks in Oestridae based on parsimony. Cladogram used for reconstruction follows Pape (2001, 2006).
Figure 6 in Three-dimensional characterization of first instar horse and rhinoceros stomach bot fly larvae (Oestridae: Gasterophilinae: Gasterophilus, Gyrostigma): novel morphology and evolutionary implications
Figure 6. Gyrostigma rhinocerontis, first instar larva, ultrastructural details of thoracic segments (A–C) and anal division (D–H). A, a trichoid sensillum I. B, a pair of Keilin's organs. C, a trichoid sensillum I and a Keilin's organ. D, posterior spiracles, dorsolateral view. E, coeloconic sensilla IV and a trichoid sensillum I on ventral side of anal subdivision II. F, posterior spiracles, ventral view. G, posterior spiracles, dorsal view. H, a coeloconic sensillum IV and a trichoid sensillum I. I, a coeloconic sensillum IV. Scale bars: A = 2 µm; B–C = 10 µm; D, G = 75 µm; E–F = 10 µm; H = 2.5 µm; I = 1 µm. Abbreviations: adI–adII, subdivisions I and II of anal division; Ko, Keilin's organ; scIV, sensilla coeloconica IV; TrI, trichoid sensillum I.
Data from: Does pollen limitation limit plant ranges? Evidence and implications
<p>Sexual reproduction often declines towards range edges, reducing fitness, dispersal, and adaptive potential at range edges. For plants, sexual reproduction is frequently limited by inadequate pollination. While case studies show that pollen limitation can limit plant distributions, the extent to which pollination commonly declines toward plant range edges is unknown. Here, we leverage global databases of pollen-supplementation experiments and plant occurrence data to test whether pollen limitation increases toward plant range edges, using a phylogenetically controlled meta-analysis. While there was significant pollen limitation across studies, we found little evidence that pollen limitation increases toward plant range edges. Pollen limitation was not stronger toward the tropics, nor at species' equatorward vs poleward range limits. Meta-analysis results are consistent with results from targeted experiments, in which pollen limitation increased significantly toward only 14% of 14 plant range edges, suggesting that pollination contributes to range limits less often than do other interactions. Together, these results suggest pollination is one of the rich variety of potential ecological factors that can contribute to range limits, rather than a generally important constraint on plant distributions.</p>
Figure 3 in Systematic revision of the early Miocene fossil Pseudoepicrates (Serpentes: Boidae): implications for the evolution and historical biogeography of the West Indian boid snakes (Chilabothrus)
Figure 3. Paratypes attributed to P. stanolseni (MCZ 1977). Letters A–D denote the specimens. Anatomical views of the vertebrae are sorted in each column. Abbreviations are given in the relevant section. Scale bar: 5 mm.
Figure 4 in Systematic revision of the early Miocene fossil Pseudoepicrates (Serpentes: Boidae): implications for the evolution and historical biogeography of the West Indian boid snakes (Chilabothrus)
Figure 4. Comparison of the neural spine morphology between Chilabothrus, Epicrates and the fossils from Thomas Farm. Only mid-precloacal vertebrae are figured here. A, articulated vertebrae of Chilabothrus inornatus (AMNH 70023); B, articulated vertebrae of Chilabothrus striatus strigilatus (AMNH 70263); C, articulated vertebrae of Chilabothrus angulifer (AMNH 77596); D, paratype of N. barbouri (MCZ 1978) (= Pseudoepicrates); E, paratype of P. stanolseni (MCZ 1977); F, P. stanolseni (MCZ 2417); G, Epicrates crassus (MCN PV DR 003); H, Epicrates cenchria (MCN PV DR 002); I, Chilabothrus angulifer (AMNH 77596); J, P. stanolseni (MCZ 2417); and K, Epicrates cenchria (MCN PV DR 002). In (A–H) lateral and (I–K) dorsal views. Scale bar: 5 mm.
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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.