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Fig. 8 in A Tale of Two Setae: How Morphology and ITS2 Help Delimit a Cryptic Species Complex in Eulophidae (Hymenoptera: Chalcidoidea)
Fig. 8. Gaster color variation within females (A–E) and males (F–J) of the four Nearctic Burkseus species.
Fig. 5 in A Tale of Two Setae: How Morphology and ITS2 Help Delimit a Cryptic Species Complex in Eulophidae (Hymenoptera: Chalcidoidea)
Fig. 5. Mesosomal color variation. (A–H) Burkseus robustus: (A) D3674, (B) D3675, (C) D4591, (D) D4580, (E) D4581, (F) D4680, (G) D5326, (H) illustrated view. (I–L) B. sigillatus: (H) D5325, (I) D5324, (J) D4738, and (L) illustrated view. Scale bar = 0.2 mm.
Fig. 4 in A Tale of Two Setae: How Morphology and ITS2 Help Delimit a Cryptic Species Complex in Eulophidae (Hymenoptera: Chalcidoidea)
Fig. 4. Mesosomal color variation in Burkseus flavoviridis: (A) D4682, (B) D4741, (C) D3791 (specimen collapsed while drying), (D) D4593, (E) D4171, F) D4172, (G) D4679, (H) D4683, (I) D4176, (J) D4169, (K) D4175, and (L) illustrated view. Scale bar = 0.2 mm.
Fig. 2 in Cuticular Hydrocarbon Profile Analyses Help Clarify the Species Identity of Dry-Mounted Cuckoo Wasps (Hymenoptera: Chrysididae), Including Type Material, and Reveal Evidence for a Cryptic Species
Fig. 2. Neighbor-joining tree inferred from Kimura-2-parameter nucleotide sequence distances between COI haplotypes of Chrysis parabrevitarsis n. sp. (blue branches), Chrysis brevitarsis and Chrysis pseudobrevitarsis (yellow branches). Support values are based on 10 000 bootstrap replicates. Acronyms in capital letters after the species names specify the country of origin: Belorussia (BLR), Estonia (EST), Finland (FIN), Germany (GER), Lithuania (LIT), Norway (NOR), Russia (RUS), and Sweden (SWE). Sample IDs are given in parentheses.
Fig. 7 in Cuticular Hydrocarbon Profile Analyses Help Clarify the Species Identity of Dry-Mounted Cuckoo Wasps (Hymenoptera: Chrysididae), Including Type Material, and Reveal Evidence for a Cryptic Species
Fig. 7. SEM micrographs of antennal flagellomeres (F) 4–6 in females of Chrysis pseudobrevitarsis (top, voucher ID: TUZ117252) and Chrysis parabrevitarsis n. sp. (bottom, voucher ID:TUZ102387).
Fig. 9 in A Tale of Two Setae: How Morphology and ITS2 Help Delimit a Cryptic Species Complex in Eulophidae (Hymenoptera: Chalcidoidea)
Fig. 9. Habitus: (A) Burkseus elongatus (BMNH: NHMUK 10371836), (B) B. singa (MZH: UCRCENT 513243), (C) B. pinicolus (BMNH: NHMUK 10371840), (D) Cirrospilus curvineurus (MZH: UCRCENT 513242).
Fig. 6 in Cuticular Hydrocarbon Profile Analyses Help Clarify the Species Identity of Dry-Mounted Cuckoo Wasps (Hymenoptera: Chrysididae), Including Type Material, and Reveal Evidence for a Cryptic Species
Fig. 6. Shape of the internal metasomal segments (T4–T7 and S4–S6) of female Chrysis parabrevitarsis n. sp. (voucher ID:TUZ102402). Scale bar: 1.0 mm.
Fig. 2 in A Tale of Two Setae: How Morphology and ITS2 Help Delimit a Cryptic Species Complex in Eulophidae (Hymenoptera: Chalcidoidea)
Fig. 2. Fore wings, dorsal view: (A) Burkseus vittatus comb. n., (B) B. flavoviridis comb. n., (C) B. robustus n. sp., (D) B. sigillatus n. sp. The photographs of B. robustus and B. sigillatus were taken after DNA extraction, displaying how the dark colors on the submarginal vein setae (B. robustus and B. sigillatus), stigmal vein and uncus (B. robustus), and banding patterns (B. sigillatus) are resilient enough to remain visible after extraction. Scale bar = 0.5 mm. ams = admarginal setae, bsl = basal setal line, csl = cubital setal line, disc = fore wing disc, spc = speculum, smv = submarginal vein, stg = stigmal vein, unc = uncus.
Fig. 3 in A Tale of Two Setae: How Morphology and ITS2 Help Delimit a Cryptic Species Complex in Eulophidae (Hymenoptera: Chalcidoidea)
Fig. 3. Combined molecular and morphological maximum likelihood tree.The different symbols correspond with specimens collected at the same location. Each specimen of these groups was collected during the same collecting event, with the exception of D3665, D3666, and D3791, collected at the same location but 2 wk apart.
Fig. 1 in A Tale of Two Setae: How Morphology and ITS2 Help Delimit a Cryptic Species Complex in Eulophidae (Hymenoptera: Chalcidoidea)
Fig. 1. Morphological characters. (A–C) head: (A) Zagrammosoma mirum, (B) Burkseus flavoviridis, (C) Burkseus robustus. (D–G) dorsal view of mesosoma: (D) Cirrospilus sp. D3867, (E) Cirrospilus sp. D3865, (F) Zagrammosoma americanum, (G) Diglyphus begini. (H) Burkseus robustus hind leg. (I) Burkseus flavoviridis antennae. Scale bar in all photos = 0.2 mm. axl = axilla, bst = basitarsus, clv = clava, fu = funicular, mc = median carina, ms = malar sulcus, msc = mesoscutum, no = pronotum, not = notaulus, pdg = prodiscrimen groove, pl1 = propleura, ppd = propodeum, scp = scape, sct = mesoscutellum, set = setae (bristle-like setae), smg = submedian groove, sss = small scattered setae, tbs = tibial spur, vtx = vertex.
Comprehensive taxon sampling and vetted fossils help clarify the time tree of shorebirds (Aves, Charadriiformes)
<div> <div> <div> <p>Shorebirds (Charadriiformes) are a globally distributed clade of modern birds and, due to their ecological and morphological disparity, a frequent subject of comparative studies. While molecular phylogenies have been key to establishing the suprafamilial backbone of the charadriiform tree, a number of relationships at both deep and shallow taxonomic levels remain poorly resolved. The timescale of shorebird evolution also remains uncertain as a result of extensive disagreements among the published divergence dating studies, stemming largely from different choices of fossil calibrations. Here, we present the most comprehensive non-supertree phylogeny of shorebirds to date, based on a total-evidence dataset comprising 353 ingroup taxa (90% of all extant or recently extinct species), 27 loci (15 mitochondrial and 12 nuclear), and 69 morphological characters. We further clarify the timeline of charadriiform evolution by time-scaling this phylogeny using a set of 14 up-to-date and thoroughly vetted fossil calibrations. In addition, we assemble a taxonomically restricted 100-locus dataset specifically designed to resolve outstanding problems in higher-level charadriiform phylogeny. In terms of tree topology, our results are largely congruent with previous studies but indicate that some of the conflicts among earlier analyses reflect a genuine signal of pervasive gene tree discordance. Monophyly of the plovers (Charadriidae), the position of the ibisbill (<em>Ibidorhyncha</em>), and the relationships among the five subfamilies of the gulls (Laridae) could not be resolved even with greatly increased locus and taxon sampling. Moreover, several localized regions of uncertainty persist in shallower parts of the tree, including the interrelationships of the true auks (Alcinae) and anarhynchine plovers. Our node-dating and macroevolutionary rate analyses find support for a Paleocene origin of crown-group shorebirds, as well as exceptionally rapid recent radiations of Old World oystercatchers (Haematopodidae) and select genera of gulls. Our study underscores the challenges involved in estimating a comprehensively sampled and carefully calibrated time tree for a diverse avian clade, and highlights areas in need of further research.</p> </div> </div> </div>
Supplementary material 1 from: Trueman M, Standish R, Orellana D, Cabrera W (2014) Mapping the extent and spread of multiple plant invasions can help prioritise management in Galapagos National Park. NeoBiota 23: 1-16. https://doi.org/10.3897/neobiota.23.7800
Index of vegetation classes and results on the distribution of invasive plants from the spatial database of canopy plant densities over the National Park on Santa Cruz Island, Galapagos: Explanation note: This document contains an index to the vegetation classes featured in the spatial database. It also has an additional table of results on the distribution of invasive plants in the canopy in each historical vegetation type, and in each density category.
FIGURE 1 in Tackling an intractable problem: Can greater taxon sampling help resolve relationships within the Stenopelmatoidea (Orthoptera: Ensifera)?
FIGURE 1. Representatives of major groups included in our analysis with emphasis on the Stenopelmatoidea. Panel 1: A. Comicus sp. probably calcaris. B. Sia sp. C. Stenopelmatopterus politus. D. Stenopelmatus sp. E. Stenopelmatus sp. F. Oryctopus sp. from India, (not included in analysis). Panel 2: G. Xanthogryllacris punctipennis. H. Penalva flavocalceatus I. Cooloola propator J. Anabropsis sp. K. Lezina concolor. L. Cnemotettix bifasciatus. Photo credits: R. Lakes-Harlan: A; D.B. Weissman: B, C, D, E, J, L; R. Balakrishnan: F; D.C.F. Rentz: G, H, I; G. Wizen: K. Respective family supported by this paper: Schizodactylidae: A. Stenopelmatidae: B, C, D, E, F. Gryllacrididae: G. Anostostomatidae: H, I, J, K, L. The colored boxes around photographs correspond to the same colors denoting families in Figures 2 and 3.
FIGURE S2-3 in Tackling an intractable problem: Can greater taxon sampling help resolve relationships within the Stenopelmatoidea (Orthoptera: Ensifera)?
FIGURE S2-3: Karyotypes of Glaphyrosoma A: Male from Mexico, Nuevo Leon. 2n♂=29 with 1 pair of metacentric and 13 pairs of rod shaped autosomes and a metacentric X. B: Male from Honduras, Cortes, 2n♂=28 with 13 pairs of rod shaped autosomes and a metacentric X and rod shaped Y chromosome.
FIGURE S2-2 in Tackling an intractable problem: Can greater taxon sampling help resolve relationships within the Stenopelmatoidea (Orthoptera: Ensifera)?
FIGURE S2-2: Karyotypes of Cnemotettix. A: Male from California, Monterey Co., 2n♂=27 with 6 pairs of metacentric and 7 pairs of rod shaped autosomes and a metacentric X. B: Male from California, Santa Barbara Co. 2n♂=25 with 7 pairs of metacentric and 5 pairs of rod shaped autosomes and a metacentric X.
FIGURE S2-1 in Tackling an intractable problem: Can greater taxon sampling help resolve relationships within the Stenopelmatoidea (Orthoptera: Ensifera)?
FIGURE S2-1: Karyotypes of North American Stenopelmatinae. A: Male from California, Inyo Co., 2n♂= 25, showing 6 pairs each of metacentric and rod shaped autosomes and a metacentric X. B: Male from California, San Diego Co., 2n♂=23, showing 7 pairs of metacentric and 4 pairs of rod shaped autosomes and a metacentric X.
FIGURE S2–4 in Tackling an intractable problem: Can greater taxon sampling help resolve relationships within the Stenopelmatoidea (Orthoptera: Ensifera)?
FIGURE S2–4. Karyotype of Lezina. There are 4 pairs of metacentric and 10 pairs of telocentric autosomes with a metacentric X chromosome.
In 2017, Plantix, a free smartphone app that helps identify plant damage, was introduced to the Indian state of Andhra Pradesh, with an extension partner. Plantix was created by Progressive Environmental and Agricultural Technologies (PEAT), a German startup. Two PEAT cofounders, Charlotte Schuman (second from the right) and Alex Kennepohl (center, with eyeglasses), confer about the smartphone app with students from Angrau University. Farmers and gardeners can transmit their plant images to Plantix, which uses deep learning and computer vision to help identify diseases and pests. The smartphone app offers symptom descriptions, treatment recommendations, and potential preventive actions. Photographs: Courtesy of PEAT GmbH. in Deep learning brings speed, accuracy to the life sciences.
In 2017, Plantix, a free smartphone app that helps identify plant damage, was introduced to the Indian state of Andhra Pradesh, with an extension partner. Plantix was created by Progressive Environmental and Agricultural Technologies (PEAT), a German startup. Two PEAT cofounders, Charlotte Schuman (second from the right) and Alex Kennepohl (center, with eyeglasses), confer about the smartphone app with students from Angrau University. Farmers and gardeners can transmit their plant images to Plantix, which uses deep learning and computer vision to help identify diseases and pests. The smartphone app offers symptom descriptions, treatment recommendations, and potential preventive actions. Photographs: Courtesy of PEAT GmbH.
Male victims of intimate partner violence: a systematic review of challenges, barriers and facilitators for help-seeking
<p>The data identified by the full database search through Scopus and APA PsycINFO 29th of February 2024.</p>
How Modern News Aggregators Help Development Communities Shape and Share Knowledge: Appendix
<p>This package contains the appendix of our ICSE 2018 paper "How Modern News Aggregators Help Development Communities Shape and Share Knowledge".</p> <p>Content:</p> <ul> <li>The qualitative analysis of the interviews as well as the interview guide</li> <li>Data from HackerNews and Reddit used in our quantitative analysis</li> <li>Results from our survey</li> <li>The qualitative analysis on HN and Reddit posts</li> </ul>
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.