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Figures 25-28 from: Xue G-X, Men Q-L, Zhang J, Zhao Q, Sheng N, Wang H-X, Long J-F (2019) A new species of Tipulodina (Diptera, Tipulidae) from China, with description of the female internal reproductive system. ZooKeys 864: 67-77. https://doi.org/10.3897/zookeys.864.31755
Figures 25-28 25–27Tipulodinabifurcata Xue & Men, sp. nov. 25 cerci and sternite ten, ventral view 26 ovipositor, dorsal view 27 female internal reproductive system 28Tipulodinaxyris, female internal reproductive system . Abbreviations: AG = accessory gland; BC = bursa copulatrix; cerc = cercus; SP = spermatheca; SPD = spermathecal duct; S10 = sternite 10. Scale bars: 0.5 mm.
Effects of the compositional viscosity ratio on the long-term evolution of thermo-chemical reservoirs in the deep mantle
<p>Datasets of the manuscript submitted to Geophysical Research Letters.</p>
Supplementary material 1 from: Long H, Zhang Q, Hao Y-Y, Shao X-Q, Wei X-X, Hyde KD, Wang Y, Zhao D-G (2019) Diaporthe species in south-western China. MycoKeys 57: 113-127. https://doi.org/10.3897/mycokeys.57.35448
: Data type: molecular data
Supplementary material 1 from: Scott JK, Batchelor KL, Webber BL (2019) Long term monitoring of recruitment dynamics determines eradication feasibility for an introduced coastal weed. NeoBiota 50: 31-53. https://doi.org/10.3897/neobiota.50.35070
: Data type: species data
An effective low-cost remote sensing approach to reconstruct the long-term and dense time series of area and storage variations for super-large lakes
<p>Supplementary File</p>
Supplementary material 1 from: Eisenhauer N, Bonkowski M, Brose U, Buscot F, Durka W, Ebeling A, Fischer M, Gleixner G, Heintz-Buschart A, Hines J, Jesch A, Lange M, Meyer S, Roscher C, Scheu S, Schielzeth H, Schloter M, Schulz S, Unsicker S, van Dam NM, Weigelt A, Weisser WW, Wirth C, Wolf J, Schmid B (2019) Biotic interactions, community assembly, and eco-evolutionary dynamics as drivers of long-term biodiversity–ecosystem functioning relationships. Research Ideas and Outcomes 5: e47042. https://doi.org/10.3897/rio.5.e47042
Detailed design of the Field Experiment
Supplementary material 2 from: Eisenhauer N, Bonkowski M, Brose U, Buscot F, Durka W, Ebeling A, Fischer M, Gleixner G, Heintz-Buschart A, Hines J, Jesch A, Lange M, Meyer S, Roscher C, Scheu S, Schielzeth H, Schloter M, Schulz S, Unsicker S, van Dam NM, Weigelt A, Weisser WW, Wirth C, Wolf J, Schmid B (2019) Biotic interactions, community assembly, and eco-evolutionary dynamics as drivers of long-term biodiversity–ecosystem functioning relationships. Research Ideas and Outcomes 5: e47042. https://doi.org/10.3897/rio.5.e47042
Brief description of the Field Experiment
Figure 1 from: Eisenhauer N, Bonkowski M, Brose U, Buscot F, Durka W, Ebeling A, Fischer M, Gleixner G, Heintz-Buschart A, Hines J, Jesch A, Lange M, Meyer S, Roscher C, Scheu S, Schielzeth H, Schloter M, Schulz S, Unsicker S, van Dam NM, Weigelt A, Weisser WW, Wirth C, Wolf J, Schmid B (2019) Biotic interactions, community assembly, and eco-evolutionary dynamics as drivers of long-term biodiversity–ecosystem functioning relationships. Research Ideas and Outcomes 5: e47042. https://doi.org/10.3897/rio.5.e47042
Figure 1 A. Conceptual diagram of the mechanistic approach of the planned Research Unit. B. Conceptual scheme of the proposed evolutionary niche shifts in plant monocultures and mixtures. This idea feeds into our understanding of how evolutionary history influences the ecological interactions of species that compete for growth factors, ultimately defining biotope space (gray rectangle; Hutchinson 1978). Graphically depicted, species (ellipses) in mixture will show increasing niche differentiation over time due to competition (niche overlap). Thus, history of selection in diverse communities is expected to result in greater interspecific differences (less overlap of ellipses) and more specialization (smaller ellipses) than a history of isolation (monocultures). In monocultures, species will experience strong selection pressure by accumulating soil-borne pathogens, and species may invest energy in chemical and morphological defense traits (depicted by ellipses shifting towards the same corner of the habitat space). Plants in mixtures together may exploit more available biotope space than single monocultures, causing increasing diversity effects on ecosystem functions over time. However, there is limited support for this assumption for traits related to light (e.g., Lipowsky et al. 2015, Roscher et al. 2015) and resource use (Jesch et al. 2018) so far.
Figure 4 from: Eisenhauer N, Bonkowski M, Brose U, Buscot F, Durka W, Ebeling A, Fischer M, Gleixner G, Heintz-Buschart A, Hines J, Jesch A, Lange M, Meyer S, Roscher C, Scheu S, Schielzeth H, Schloter M, Schulz S, Unsicker S, van Dam NM, Weigelt A, Weisser WW, Wirth C, Wolf J, Schmid B (2019) Biotic interactions, community assembly, and eco-evolutionary dynamics as drivers of long-term biodiversity–ecosystem functioning relationships. Research Ideas and Outcomes 5: e47042. https://doi.org/10.3897/rio.5.e47042
Figure 4 Experimental design and hypotheses of the Ecotron Experiment. Briefly, four treatments will be established based on monoliths from a selection of the 9-year old Trait-Based Experiment (TBE; Ebeling et al. 2014) and from bare ground plots of the Jena Experiment as well as two seed sources: the respective plots and the original seed material that was used for the set-up of the TBE. (1) With plot-specific plant history and with plot-specific soil history; (2) without plot-specific plant history and with plot-specific soil history; (3) with plot-specific plant history and without plot-specific soil history; and (4) without plot-specific plant history and without plot-specific soil history. We expect the biodiversity–ecosystem function relationships to differ among the four treatments (see main text for details).
Figure 3 from: Eisenhauer N, Bonkowski M, Brose U, Buscot F, Durka W, Ebeling A, Fischer M, Gleixner G, Heintz-Buschart A, Hines J, Jesch A, Lange M, Meyer S, Roscher C, Scheu S, Schielzeth H, Schloter M, Schulz S, Unsicker S, van Dam NM, Weigelt A, Weisser WW, Wirth C, Wolf J, Schmid B (2019) Biotic interactions, community assembly, and eco-evolutionary dynamics as drivers of long-term biodiversity–ecosystem functioning relationships. Research Ideas and Outcomes 5: e47042. https://doi.org/10.3897/rio.5.e47042
Figure 3 Hypothesized slope of BEF relationships in the different treatments of the Field Experiment (see main text for details). Note that the 'with plant history, with soil history' only serves as a control in the Field Experiment, and effects of plant history can only be tested in the planned Ecotron Experiment. Redrawn after Vogel et al. (2019). '+', with; '-', without.
Supplementary material 4 from: Eisenhauer N, Bonkowski M, Brose U, Buscot F, Durka W, Ebeling A, Fischer M, Gleixner G, Heintz-Buschart A, Hines J, Jesch A, Lange M, Meyer S, Roscher C, Scheu S, Schielzeth H, Schloter M, Schulz S, Unsicker S, van Dam NM, Weigelt A, Weisser WW, Wirth C, Wolf J, Schmid B (2019) Biotic interactions, community assembly, and eco-evolutionary dynamics as drivers of long-term biodiversity–ecosystem functioning relationships. Research Ideas and Outcomes 5: e47042. https://doi.org/10.3897/rio.5.e47042
Detailed design of the Ecotron Experiment
Supplementary material 5 from: Eisenhauer N, Bonkowski M, Brose U, Buscot F, Durka W, Ebeling A, Fischer M, Gleixner G, Heintz-Buschart A, Hines J, Jesch A, Lange M, Meyer S, Roscher C, Scheu S, Schielzeth H, Schloter M, Schulz S, Unsicker S, van Dam NM, Weigelt A, Weisser WW, Wirth C, Wolf J, Schmid B (2019) Biotic interactions, community assembly, and eco-evolutionary dynamics as drivers of long-term biodiversity–ecosystem functioning relationships. Research Ideas and Outcomes 5: e47042. https://doi.org/10.3897/rio.5.e47042
Brief description of the Ecotron Experiment
Figure 2 from: Eisenhauer N, Bonkowski M, Brose U, Buscot F, Durka W, Ebeling A, Fischer M, Gleixner G, Heintz-Buschart A, Hines J, Jesch A, Lange M, Meyer S, Roscher C, Scheu S, Schielzeth H, Schloter M, Schulz S, Unsicker S, van Dam NM, Weigelt A, Weisser WW, Wirth C, Wolf J, Schmid B (2019) Biotic interactions, community assembly, and eco-evolutionary dynamics as drivers of long-term biodiversity–ecosystem functioning relationships. Research Ideas and Outcomes 5: e47042. https://doi.org/10.3897/rio.5.e47042
Figure 2 Structure of the proposed Research Unit. Three complementary experimental approaches are envisaged to study long-term biodiversity-ecosystem function (BEF) relationships, and how these are influenced by plant history and soil history. BEF patterns are studied in the Field Experiment with long-term plant diversity plots and manipulations of soil-history effects. BEF mechanisms are studied in the Ecotron Experiment and in Microcosm Experiments. In the Ecotron Experiment, plant history and soil history are independently crossed and detailed process measurements are possible. The Microcosm Experiments zoom in on focal interactions. In the Field Experiment and in the Ecotron Experiment, studies are conducted at the community level as well as at the plant individual level (magnifier; see detailed design of studies in the Appendices). Subprojects' (SPs') participation in experiments are illustrated with lines. The SPs of the proposed Research Unit fall into two tightly linked main categories (in gray) with two research areas each that aim at exploring variation in community assembly processes, micro-evolutionary changes, and resulting differences in biotic interactions as determinants of the long-term BEF relationship. Subprojects under "Microbial community assembly" (blue) and "Assembly and functions of animal communities" (red) mostly focus on plant diversity effects on the assembly of communities and their feedback effects on biotic interactions and ecosystem functions, while subprojects under "Mediators of plant-biotic interactions" (orange) and "Intraspecific diversity and micro-evolutionary changes" (green) mostly focus on plant diversity effects on plant trait expression and micro-evolution. PIs with requested personnel are underlined.
Supplementary material 3 from: Eisenhauer N, Bonkowski M, Brose U, Buscot F, Durka W, Ebeling A, Fischer M, Gleixner G, Heintz-Buschart A, Hines J, Jesch A, Lange M, Meyer S, Roscher C, Scheu S, Schielzeth H, Schloter M, Schulz S, Unsicker S, van Dam NM, Weigelt A, Weisser WW, Wirth C, Wolf J, Schmid B (2019) Biotic interactions, community assembly, and eco-evolutionary dynamics as drivers of long-term biodiversity–ecosystem functioning relationships. Research Ideas and Outcomes 5: e47042. https://doi.org/10.3897/rio.5.e47042
Plant species lists of the Field Experiment and the Ecotron Experiment
Figure 3 from: Long H, Zhang Q, Hao Y-Y, Shao X-Q, Wei X-X, Hyde KD, Wang Y, Zhao D-G (2019) Diaporthe species in south-western China. MycoKeys 57: 113-127. https://doi.org/10.3897/mycokeys.57.35448
Figure 3 Diaporthe millettiae (GUCC9167). a–b upper (a) and lower (b) surface of colony on PDAc–d conidiomata e–f conidiophores, conidiogenous loci and conidia g β-conidia h α-conidia. Scale bars: 20 µm (e, f), 10 µm (g, h).
Figure 1 from: Long H, Zhang Q, Hao Y-Y, Shao X-Q, Wei X-X, Hyde KD, Wang Y, Zhao D-G (2019) Diaporthe species in south-western China. MycoKeys 57: 113-127. https://doi.org/10.3897/mycokeys.57.35448
Figure 1 Parsimonious tree obtained from a combined analyses of an ITS, β-tubulin, calmoudulin and tef1 sequence dataset. MP, ML above 50% and BPP values above 0.90 were placed close to topological nodes and separated by "/". The bootstrap values below 50% and BPP values below 0.90 were labelled with "-". The tree is rooted with Valsa ambiens (CFCC89894). The branch of our new Diaporthe species is in pink.
Figure 4 from: Long H, Zhang Q, Hao Y-Y, Shao X-Q, Wei X-X, Hyde KD, Wang Y, Zhao D-G (2019) Diaporthe species in south-western China. MycoKeys 57: 113-127. https://doi.org/10.3897/mycokeys.57.35448
Figure 4 Diaporthe osmanthi (GUCC9165). a–b upper (a) and lower (b) surface of colony on PDAc–d conidiomata e conidiophores, conidiogenous loci and conidia f α-conidia g two types of conidia h β-conidia. Scale bars: 10 µm (e, f, g, h).
Figure 2 from: Long H, Zhang Q, Hao Y-Y, Shao X-Q, Wei X-X, Hyde KD, Wang Y, Zhao D-G (2019) Diaporthe species in south-western China. MycoKeys 57: 113-127. https://doi.org/10.3897/mycokeys.57.35448
Figure 2 Parsimonious tree obtained from a combined analyses of a β-tubulin and tef1 sequence dataset (TL = 265, CI = 0.89, RI = 0.76, RC = 0.68 and HI = 0.11). MP, ML above 50% and BPP values above 0.90 were placed close to topological nodes and separated by "/". The bootstrap values below 50% and BPP values below 0.90 were labelled with "-". The tree is rooted with Diaporthe decedens (CBS 109772).
Figure 5 from: Long H, Zhang Q, Hao Y-Y, Shao X-Q, Wei X-X, Hyde KD, Wang Y, Zhao D-G (2019) Diaporthe species in south-western China. MycoKeys 57: 113-127. https://doi.org/10.3897/mycokeys.57.35448
Figure 5 Diaporthe longicicola (GUCC9146). a–b upper (a) and lower (b) surface of colony on PDAc–d conidiomata e two types of conidia f conidiophores, conidiogenous loci and conidia g α-conidia h β-conidia. Scale bars: 10 µm (e, f, g, h).
Figures 9-12 from: Chang Z-M, Yang L, Long J-K, Chen X-S (2019) Three new species of the planthopper genus Sinonissus Wang, Shi & Bourgoin, 2018 from southwest China (Hemiptera, Fulgoromorpha, Issidae). ZooKeys 870: 117-135. https://doi.org/10.3897/zookeys.870.34417
Figures 9-12 Sinonissus brunetus Wang, Shi & Bourgoin, 2018 9 forewing 10 male genitalia, lateral view 11 anal segment, dorsal view 12 phallobase and aedeagus, lateral view. Scale bars: 0.5 mm. Abbreviations: a, short hooked process.
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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.