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Fig. 4. Agrothereutes minousubae Nakanishi, 1965 in Expression of green fluorescent protein defines a specific population of lamina II excitatory interneurons in the GRP::eGFP mouse
Fig. 4. Agrothereutes minousubae Nakanishi, 1965 (A, B, KPM-NK 76585; C, D, KPM-NK 76590) and Aritranis kuro sp. nov. (E, G, I, KPM-NK 75824; F, H, KPM-NK 75825; J, K, KPM-NK 76577) ― A, C, E, J, lateral habitus; B, tegula and humeral plate (red arrow), dorso-lateral view; D, G, K, head, frontal view; F, dorsal habitus; H, propodeum, dorsal view; I, right wings.
Fig. 7. Gambrus homonae Sonan, 1930 in Expression of green fluorescent protein defines a specific population of lamina II excitatory interneurons in the GRP::eGFP mouse
Fig. 7. Gambrus homonae Sonan, 1930 (A, KPM-NK 76572; B-D, 76568; E, KPM-NK 76573) ― A, E, lateral habitus; B, head, frontal view; C, propodeum, dorsal view; D, right fore wing.
Fig. 3 in Expression of green fluorescent protein defines a specific population of lamina II excitatory interneurons in the GRP::eGFP mouse
Fig. 3. Aritranis kuro sp. nov. (A, KPM-NK 75838), Buathra nipponica sp. nov. (B, KPM-NK 75746), Cryptus daidaigaster sp. nov. (C, NIAES), Gambrus homonae Sonan, 1930 (D, KPM-NK 76566); Glabridorsum japonicum sp. nov. (E, KPM-NK 75742), Gotra elegans sp. nov. (F, KPM-NK 75822); Hoplocryptus ashoroensis sp. nov. (G, NIAES), Ho. ezoensis sp. nov. (H, KPM-NK 75800), Ho. intermedius sp. nov. (I, KPM-NK 75804), Ho. japonicus sp. nov. (J, KPM-NK 75771), Ho. maculatus sp. nov. (K, KPM-NK 75781), Ho. pini (L, KPM-NK 76579), Ho. toshimensis sp. nov. (M, KPM-NK 75797), Picardiella melanoleuca (Gravenhorst, 1829) (N, KPM-NK 75744) and Trychosis breviterebratus sp. nov. (N, KPM-NK 75758), apex of ovipositor, lateral view.
Fig. 8 in Expression of green fluorescent protein defines a specific population of lamina II excitatory interneurons in the GRP::eGFP mouse
Fig. 8. Glabridorsum japonicum sp. nov. (A, C, E, G, KPM-NK 75742; B, D, F, KPM-NK 75743) ― A, lateral habitus; B, head, mesosoma and metasoma, dorsal view; C, D, mesosoma, lateral view; E, head, frontal view; F, propodeum, dorsal view; G, apical part of right fore wing.
Figure 3 in High-temperature stress induces bacteria-specific adverse and reversible effects on Ulva (Chlorophyta) growth and its chemosphere in a reductionist model system
Figure 3: Temperature shift experiment from 18 °C to 30 °C. (A) After the temperature shift, the longitudinal growth of the propagules of equal length in three different tripartite communities was measured with ImageJ software and compared with the established model system for
Figure 2 in High-temperature stress induces bacteria-specific adverse and reversible effects on Ulva (Chlorophyta) growth and its chemosphere in a reductionist model system
Figure 2: Bioassay for morphogenetic activity performed at 18 °C. Using a tripartite community with Ulva mutabilis, the morphogenetic activity of the thallusin-releasing bacteria Maribacter sp. was complemented by one out of the four strains isolated from the surface of Ulva ohnoi. Under standard conditions, axenic gametes (A) were cultivated in the tissue culture flask with the tested bacteria alone (B–E), in the presence of Roseovarius sp. (G–J) or with Maribacter sp. MS6 (L–O) in comparison to the controls (F and K). Arrows with closed heads indicate protrusion formation due to the lack of thallusin released by Maribacter sp. Arrows with open heads indicate rhizoid formation in the presence of Maribacter sp. Magnification bar = 100 µm.
Figure 1 in High-temperature stress induces bacteria-specific adverse and reversible effects on Ulva (Chlorophyta) growth and its chemosphere in a reductionist model system
Figure 1: Workflow. Selected bacteria IH2, IH18, IH25, and G8 were collected from the surface of Ulva ohnoi, phenocopying the activity of Roseovarius sp. MS2 and forming a tripartite community with Maribacter sp. MS6 and the gametophyte of Ulva mutabilis (morphotype "slender"; strain FSU-UM5-1). Ulva mutabilis (25 mg dry weight) was cultivated with the two bacterial strains (OD620 = 0.001) under standard conditions (Wichard and Oertel 2010). Propagules of equal length were stressed by a temperature shift from 18 °C to 30 °C using continuous light (80 µmol photon m−2 s−1) to avoid chronobiological effects. Axenic cultures and tripartite communities were prepared according to Spoerner et al. (2012). exo-Metabolomics and multivariate analysis of the metabolite profiling of the supernatant (150 mL) of four tripartite communities were performed according to Alsufyani et al. (2017) and Ghaderiardakani et al. (2022). Drawings of Ulva were taken from Wichard (2023) under the terms of CC BY 4.0. Created with BioRender.com.
Species-specific differences in bumblebee worker body size between elevations: Implications for pollinator community structure under climate change
<p>Code and dataset for manuscript titled "<span>Species-specific differences in bumblebee worker body size between elevations: Implications for pollinator community structure under climate change". Authors: Caterina Massa, Janneke Hille Ris Lambers, Sarah K. Richman. Manuscript accepted to Journal of Pollination Ecology in May 2024. All data collected and analyzed by the authors.<br></span></p>
Fig. 5 in Molecular characteristics of representatives of the genus Brachylecithum Shtrom, 1940 (Digenea, Dicrocoeliidae) with comments on life cycle and host specificity
Fig. 5 Comparison of morphometric characters of B. glareoli and B. lobatum. a Ratio of body length to vitellaria length, b distance between oral and ventral suckers, c testis area, and d vitellaria length
Fig. 4 in Molecular characteristics of representatives of the genus Brachylecithum Shtrom, 1940 (Digenea, Dicrocoeliidae) with comments on life cycle and host specificity
Fig. 4 Bayesian analysis of partial sequence 28S rDNA + partial sequence cox1 data of nine members of the Brachylecithum genus. Tree constructed with MrBayes using the GTR + G model for 28S rDNA and HKY + G for cox1. The analysis was run for one million generations, with 250,000 generations as burn-in. Scale bars: number of substitutions per site. Nodal support is indicated as Bayesian posterior probabilities. Host species are provided in parentheses. Outgroup— Lyperosomum collurionis
Fig. 2 in Molecular characteristics of representatives of the genus Brachylecithum Shtrom, 1940 (Digenea, Dicrocoeliidae) with comments on life cycle and host specificity
Fig. 2 Bayesian analysis of partial sequences of the 28S rDNA gene of 16 members of Dicrocoeliidae. The tree constructed with MrBayes using the GTR + G model. The analysis was run for one million generations, with 250,000 generations as burn-in. Scale bars: number of substitutions per site. Nodal support is indicated as Bayesian posterior probabilities. Host species are provided in parentheses. Outgroup—M. magellanica (Opecoelidae)
Fig. 3 in Molecular characteristics of representatives of the genus Brachylecithum Shtrom, 1940 (Digenea, Dicrocoeliidae) with comments on life cycle and host specificity
Fig. 3 Bayesian analysis of the partial mitochondrial proteincoding gene cox1 (data as amino acids) derived from nine isolates of Brachylecithum spp. Tree constructed using the HKY + G model. The analysis was run for two million generations; 500,000 generations were discarded as burn-in. The branch-length scale indicates the number of substitutions per site. Nodal support is indicated as Bayesian posterior probabilities. Host species are provided in parentheses. Outgroup— Lyperosomum collurionis
Fig. 1 in Molecular characteristics of representatives of the genus Brachylecithum Shtrom, 1940 (Digenea, Dicrocoeliidae) with comments on life cycle and host specificity
Fig. 1 Larval stages of Brachylecithum lobatum from Cepaea hortensis. a Sporocyst, b cercaria and metacercaria hatching from the cyst, c encysted metacercaria, and d cercaria, free metacercaria, cysts with metacercaria, and fragment of a sporocyst
Fig 4 in Development of specific PCR assays for the detection of Cryptocaryon irritans
Fig 4 Agarose gel electrophoresis of PCR products amplified from the simulated water body using Cryptocaryon irritans-specific primer set P1/S15. Lanes 1 and 10 represent a DNA size marker, lanes 2 to 7 represent C. irritans from the infected water, lane 8 represents the uninfected water, and lane 9 represents no-DNA control
Fig 1 in Development of specific PCR assays for the detection of Cryptocaryon irritans
Fig 1 Agarose gel electrophoresis of PCR products amplified using conserved primer set P1/NC2 (a), Cryptocaryon irritans-specific primer set P1/S15 (b), and Ichthyophthirius multifiliis-specific primer set S01/S02 (c). Lanes 1 and 11 represent a DNA size marker. Lanes 2 to 9 represent C. irritans, Pseudokeroronpsis rubra, Pseudokeroronpsis carnae, Euplotes sp. 1, I. multifiliis, Pseudourostyla cristata, Paramecium caudaium (cf. Table 1), and host (fish) DNA, respectively. Lane 10 represents no-DNA control
Fig 2 in Development of specific PCR assays for the detection of Cryptocaryon irritans
Fig 2 Agarose gel electrophoresis of PCR products amplified from mixed genomic DNA of C. irritans and I. multifiliis. Lanes 1 and 7 represent a DNA size marker. Lane 2 presents the mixture of C. irritans and I. multifiliis DNA amplified using the primer set P1/S15 and lane 3 represents the genomic DNA of I. multifiliis. Lane 4 represents the mixed genomic DNA of C. irritans and I. multifiliis amplified using the primer set S01–S02. Lane 5 represents the genomic DNA of C. irritans using the primer set S01–S02. Lane 6 represents no-DNA control
Fig 3 in Development of specific PCR assays for the detection of Cryptocaryon irritans
Fig 3 Evaluation of the sensitivity of the specific PCR assay for Cryptocaryon irritans (primer set P1/S15) by agarose gel electrophoresis. Lanes 1 and 13 represent a DNA size marker. Lane 2 represents DNA undiluted (450 ng/µl), and lanes 3 to 11 represent C. irritans DNA diluted for 1:50 (9 ng/µl), 1:100 (4.5 ng/µl), 1:200 (2.25 ng/µl), 1:400 (1.13 ng/µl), 1:800 (0.56 ng/µl), 1:103 (0.45 ng/µl), 1:104 (45 pg/µl), 1:105 (4.5 pg/µl), and 1:106 (0.45 pg/µl), respectively. Lane 12 represents no-DNA control
Figure 1 Micromegistus bakerion Scarites subterraneus.a in New records of Micromegistus bakeri, Trägårdh 1948 (Acari: Mesostigmata: Parantennulidae), a mite symbiotic on carabid beetles, and notes on the species' distribution and host specificity
Figure 1 Micromegistus bakerion Scarites subterraneus.a – Dorsal and ventral view of infested S. subterraneus. b – The anterior ventral side of M. bakeriinfestedS. subterraneus. c – Adult and larvalM. bakeri.
Figure 3 in New records of Micromegistus bakeri, Trägårdh 1948 (Acari: Mesostigmata: Parantennulidae), a mite symbiotic on carabid beetles, and notes on the species' distribution and host specificity
Figure 3 Distribution map of Micromegistus bakeriand Scarites spp. in North America. The star indicates the location of the specimens collected in the present study. Squares indicate localities ofM. bakeridocumented in the literature (Trägårdh 1948; Nickel and Elzinga 1970; McDaniel and Bolen
Figure 2 in New records of Micromegistus bakeri, Trägårdh 1948 (Acari: Mesostigmata: Parantennulidae), a mite symbiotic on carabid beetles, and notes on the species' distribution and host specificity
Figure 2 Examples of photographic records of mites (putatively identified as M. bakeri) on Scarites spp., available on the citizen science websites BugGuide and iNaturalist. Note how only one or no mites are visible in the dorsal images, while one to many are visible in the lateral and ventral images. 2a – by lazarus via iNaturalist, used under a CC BY 4.0 license. 2b–2c by Bert Harris and Breanna Couey, respectively, via iNaturalist, used under CC BY-NC 4.0 licenses.
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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.