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Fig. 7 in A contribution to the knowledge of the genera Fissocantharis Pic, 1921 and Micropodabrus Pic, 1920 from Taiwan (Coleoptera, Cantharidae)
Fig. 7. Aedeagus (A, D, G: ventral view; B, E, H: dorsal view; C, F, I: lateral view). A–C. Fissocantharis piluchiensis (Wittmer, 1995). D–F. F. pingtungensis (Wittmer, 1982). G–I. F. ssulingensis (Wittmer, 1995). Scale bars: 1.0 mm.
Fig. 10. Female genitalia, lateral view. A in A contribution to the knowledge of the genera Fissocantharis Pic, 1921 and Micropodabrus Pic, 1920 from Taiwan (Coleoptera, Cantharidae)
Fig. 10. Female genitalia, lateral view. A. Fissocantharis ssulingensis (Wittmer, 1995). B. F. taipeiana (Wittmer, 1982). C. F. uenoi (Wittmer, 1982). Scale bars: 0.5 mm.
Fig. 13 in A contribution to the knowledge of the genera Fissocantharis Pic, 1921 and Micropodabrus Pic, 1920 from Taiwan (Coleoptera, Cantharidae)
Fig. 13. Aedeagus (A, D, G: ventral view; B, E, H: dorsal view; C, F, I: lateral view). A–C. Micropodabrus chujoi (Wittmer, 1972). D–F. M. mucronata (Wittmer, 1979). G–I. M. multicostata (Wittmer, 1982). Scale bars: 0.5 mm.
Fig. 1 in Contribution to the Willowsia species having body scales of the long basal rib type: four new species and a redescription of W. qui (Collembola: Entomobryidae)
Fig. 1. Willowsia fascia Zhang & Pan sp. nov. A. Habitus. B. Abd. III. Scale bars: A = 500 μm; B = 20 μm.
Fig. 5 in A contribution to the knowledge of the genera Fissocantharis Pic, 1921 and Micropodabrus Pic, 1920 from Taiwan (Coleoptera, Cantharidae)
Fig. 5. Abdominal sternite VIII of female, ventral view. A. Fissocantharis denominata (Wittmer, 1997). B. F. fenchihuensis (Wittmer, 1982). C. F. flavipennis Yang, Okushima & Yang, 2012. D. F. formosana (Pic, 1910). E. F. gressitti (Wittmer, 1954). F. F. kurosawai (Wittmer, 1982). G. F. laticornis Y. Yang, Okushima & X. Yang, 2012. H. F. lishanensis (Wittmer, 1982). Scale bars: 1.0 mm.
Fig. 4. Female genitalia, lateral view. A in A contribution to the knowledge of the genera Fissocantharis Pic, 1921 and Micropodabrus Pic, 1920 from Taiwan (Coleoptera, Cantharidae)
Fig. 4. Female genitalia, lateral view. A. Fissocantharis gressitti (Wittmer, 1954). B. F. kurosawai (Wittmer, 1982). C. F. laticornis Y. Yang, Okushima & X. Yang, 2012. Scale bars: 1.0 mm.
Fig. 2 in Contribution to the Willowsia species having body scales of the long basal rib type: four new species and a redescription of W. qui (Collembola: Entomobryidae)
Fig. 2. Willowsia fascia Zhang & Pan sp. nov. A. Ant. III organ. B. Labral papillae. C. Clypeal chaetae. D. Dorsal cephalic chaetotaxy. E. Maxillary outer lobe. F. Chaetae on ventral side of head. G. Trochanteral organ. H. Hind claw. I–J. Ventral tube. I. Posterior face. J. Lateral flap. K. Manubrium and base of dens, dorsal view. L. Mucro. Scale bars: A–C, E–J, L = 20 μm; D, K = 100 μm.
Fig. 9 in A contribution to the knowledge of the genera Fissocantharis Pic, 1921 and Micropodabrus Pic, 1920 from Taiwan (Coleoptera, Cantharidae)
Fig. 9. Aedeagus (A, D, G: ventral view; B, E, H: dorsal view; C, F, I: lateral view). A–C. Fissocantharis taipeiana (Wittmer, 1982). D–F. F. uenoi (Wittmer, 1982). Scale bars: 1.0 mm.
How repositories can contribute their FAIR share
<p>Findable, accessible, interoperable and reusable (FAIR) data are an increasingly important aspect of open scholarship. Increasing the production and use of FAIR data requires a wide range of stakeholders across the research ecosystem to actively play their parts. FAIRsFAIR – Fostering Fair Data Practices in Europe – aims to supply practical solutions for applying the FAIR data principles throughout the research data life cycle, which can be included in the strategies that research organisations and implemented to enable a FAIR data culture.</p> <p>This 90 minute virtual workshop focuses on the work FAIRsFAIR carries out in collaboration with repositories to enable them to play their role in helping to make and keep data FAIR over time. It covers an early draft of a transition support programme for repositories wishing to improve their capacity to support FAIR data production and use. Following an overview of the draft programme, attendees review and discuss the draft support programme, consider how it might be applied within their own repositories, and how they can support and promote relevant aspects of the programme within their institutions and the wider community.</p> <p>This record is a virtual workshop recording.</p> <p>Slides: Herterich, Patricia, & Davidson, Joy. (2020, June). How repositories can contribute their FAIR share. Zenodo. <a href="http://doi.org/10.5281/zenodo.3871523">http://doi.org/10.5281/zenodo.3871523</a></p>
Summary statistics data for "Genetic Analyses Support the Contribution of mRNA N6-methyladenosine (m6A) Modification to Human Diseases Heritability"
<p>We included the summary statistics data associated with our manuscript "<strong>Genetic Analyses Support the Contribution of mRNA <em>N</em><sup>6</sup>-methyladenosine (m<sup>6</sup>A) Modification to Human Diseases Heritability". </strong></p> <p>We also included the newly imputed genotype data for the 60 YRI individuals involved in our study, the joint m<sup>6</sup>A peaks tested (locations of the molecular phetnotype in BED12 format) and normalized log odds ratio (enrichment) of these joint peaks (molecular phenotype data). </p>
Dataset for "The future sea-level contribution of the Greenland ice sheet: a multi-model ensemble study of ISMIP6"
<p>This data set provides processed model output of ISMIP6 Greenland projections as documented and analysed in the following publication:</p> <p>Heiko Goelzer, Sophie Nowicki, Anthony Payne, Eric Larour, Helene Seroussi, William H. Lipscomb, Jonathan Gregory, Ayako Abe-Ouchi, Andy Shepherd, Erika Simon, Cecile Agosta, Patrick Alexander, Andy Aschwanden, Alice Barthel, Reinhard Calov, Christopher Chambers, Youngmin Choi, Joshua Cuzzone, Christophe Dumas, Tamsin Edwards, Denis Felikson, Xavier Fettweis, Nicholas R. Golledge, Ralf Greve, Angelika Humbert, Philippe Huybrechts, Sebastien Le clec'h, Victoria Lee, Gunter Leguy, Chris Little, Daniel P. Lowry, Mathieu Morlighem, Isabel Nias, Aurelien Quiquet, Martin Rückamp, Nicole-Jeanne Schlegel, Donald Slater, Robin Smith, Fiamma Straneo, Lev Tarasov, Roderik van de Wal, and Michiel van den Broeke: The future sea-level contribution of the Greenland ice sheet: a multi-model ensemble study of ISMIP6 , The Cryosphere, 2020. doi:10.5194/tc-2019-319</p> <p>About the data:<br> - The results are based on model output regridded conservatively to a 5x5 km regular ISMIP6 grid unless this is already the native grid. <br> - The results are calculated over the ice-covered area of Greenland, map projection error corrected, ice sheet model specific densities taken into account.<br> - The contribution of peripheral glaciers and ice caps has been removed, by considering their area-coverage in each grid cell.<br> - The results for the projections 'exp*' are all calculated as differences to the control experiment ctrl_proj (suffix cr in filename for control removed).<br> - Results for ctrl_proj and historical are un-corrected (no suffix cr in filename).</p> <p><br> Directory structure:<br> versionid<br> groupname1<br> modelname1<br> expid<br> scalars_mm_cr_GIS_groupname1_modelname1_expid.nc<br> scalars_rm_cr_GIS_groupname1_modelname1_expid.nc<br> scalars_zm_cr_GIS_groupname1_modelname1_expid.nc<br> ...</p> <p>Variables per file:</p> <p>scalars_mm_cr_GIS ----------------- Greenland wide numbers </p> <p>oarea - assumed ocean area [m2]<br> rhof - model specific freshwater density [kg m-3]<br> rhoi - model specific ice density [kg m-3]<br> rhow - model specific ocean water density [kg m-3]</p> <p>time - time, typically in days since X<br> iarea - Fraction of grid cell covered by land ice [1]<br> iareagr - Fraction of grid cell covered by grounded ice sheet<br> iareafl - Fraction of grid cell covered by ice sheet flowing over seawater</p> <p>ivol - ice volume [m3]<br> ivolgr - grounded ice volume [m3]<br> ivolfl - floating ice volume [m3]<br> ivaf - ice volume above flotation [m3]</p> <p>lim - ice mass [kg]<br> limgr - grounded ice mass [kg]<br> limfl - floating ice mass [kg]<br> limaf - ice mass above flotation [kg]</p> <p>sle - sea-level equivalent mass [m] !! decreases with mass loss !! <br> smb - spatially integrated surface mass balance anomaly [kg s-1]</p> <p><br> scalars_rm_cr_GIS ----------------- IMBIE2-Rignot basins xx=[no,ne,se,sw,cw,nw]</p> <p>oarea - assumed ocean area [m2]<br> rhof - model specific freshwater density [kg m-3]<br> rhoi - model specific ice density [kg m-3]<br> rhow - model specific ocean water density [kg m-3]</p> <p>time - time, typically in days since X<br> ivaf_xx - ice volume above flotation [m3]<br> smb_xx - spatially integrated surface mass balance anomaly [kg s-1]<br> limaf_xx - ice mass above flotation [kg]<br> sle_xx - sea-level equivalent mass [m] !! decreases with mass loss !! </p> <p><br> scalars_zm_cr_GIS ----------------- IMBIE2-Zwally basins xx=[z11,z12,z13,z14,z21,z22,z31,z32,z33,z41,z42,z43,z50,z61,z62,z71,z72,z81,z82]</p> <p>oarea - assumed ocean area [m2]<br> rhof - model specific freshwater density [kg m-3]<br> rhoi - model specific ice density [kg m-3]<br> rhow - model specific ocean water density [kg m-3]</p> <p>time - time, typically in days since X<br> ivaf_xx - ice volume above flotation [m3]<br> smb_xx - spatially integrated surface mass balance anomaly [kg s-1]<br> limaf_xx - ice mass above flotation [kg]<br> sle_xx - sea-level equivalent mass [m] !! decreases with mass loss !! </p> <p> </p> <p>Data usage notice:<br> If you use any of these results, please acknowledge the work of the people involved in producing them. Acknowledgements should have language similar to the below.</p> <p>“We thank the Climate and Cryosphere (CliC) effort, which provided support for ISMIP6 through sponsoring of workshops, hosting the ISMIP6 website and wiki, and promoted ISMIP6. We acknowledge the World Climate Research Programme, which, through it's Working Group on Coupled Modelling, coordinated and promoted CMIP5 and CMIP6. We thank the climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the CMIP data and providing access, the University at Buffalo for ISMIP6 data distribution and upload, and the multiple funding agencies who support CMIP5 and CMIP6 and ESGF. We thank the ISMIP6 steering committee, the ISMIP6 model selection group and ISMIP6 dataset preparation group for their continuous engagement in defining ISMIP6."</p> <p>You should also refer to and cite the following papers:</p> <p>Heiko Goelzer, Sophie Nowicki, Anthony Payne, Eric Larour, Helene Seroussi, William H. Lipscomb, Jonathan Gregory, Ayako Abe-Ouchi, Andy Shepherd, Erika Simon, Cecile Agosta, Patrick Alexander, Andy Aschwanden, Alice Barthel, Reinhard Calov, Christopher Chambers, Youngmin Choi, Joshua Cuzzone, Christophe Dumas, Tamsin Edwards, Denis Felikson, Xavier Fettweis, Nicholas R. Golledge, Ralf Greve, Angelika Humbert, Philippe Huybrechts, Sebastien Le clec'h, Victoria Lee, Gunter Leguy, Chris Little, Daniel P. Lowry, Mathieu Morlighem, Isabel Nias, Aurelien Quiquet, Martin Rückamp, Nicole-Jeanne Schlegel, Donald Slater, Robin Smith, Fiamma Straneo, Lev Tarasov, Roderik van de Wal, and Michiel van den Broeke: The future sea-level contribution of the Greenland ice sheet: a multi-model ensemble study of ISMIP6 , The Cryosphere, 2020. doi:10.5194/tc-2019-319</p> <p>Sophie Nowicki, Antony Payne, Heiko Goelzer, Helene Seroussi, William Lipscomb, Ayako Abe-Ouchi, Cecile Agosta, Patrick Alexander, Xylar Asay-Davis, Alice Barthel, Thomas Bracegirdle, Richard Cullather, Denis Felikson, Xavier Fettweis, Jonathan Gregory, Tore Hatterman, Nicolas Jourdain, Peter Kuipers Munneke, Eric Larour, Christopher Little, Mathieu Morlinghem, Isabel Nias, Andrew Shepherd, Erika Simon, Donald Slater, Robin Smith, Fiammetta Straneo, Luke Trusel, Michiel van den Broeke, and Roderik van de Wal: Experimental protocol for sea level projections from ISMIP6 standalone ice sheet models, The Cryosphere, doi:10.5194/tc-2019-322, 2020.</p>
TABLE 1 in Contributions to the knowledge of Elanela: Elanela jordi sp. nov., from Amazonas, Brazil (Hemiptera: Heteroptera: Pentatomidae)
<p><b><b>TABLE</b> 1.</b> Measurements of <i>Elanelajordi</i> <b>sp. nov.</b> (Max = maximum measurement; Min = minimum measurement).</p><table><thead><tr><th colspan="2" rowspan="2"></th><th colspan="2">Males</th><th colspan="2"><b>Females</b></th></tr></thead><tbody><tr><td>Mean ± standard deviation</td><td>Max-Min</td><td>Mean ± standard deviation</td><td>Max-Min</td></tr><tr><th colspan="2">Total length</th><td>5.1 ± 0.26</td><td>5.3 - 4.8</td><td>5.9 ± 0.13</td><td>6.1 - 5.8</td></tr><tr><th colspan="2">Abdominal width</th><td>3.3 ± 0.18</td><td>3.6 - 3.1</td><td>3.7 ± 0.08</td><td>3.8 - 3.6</td></tr><tr><th colspan="2">Interocular distance</th><td>0.9 ± 0.04</td><td>0.9 - 0.8</td><td>0.9 ± 0.02</td><td>1.0 - 0.9</td></tr><tr><th colspan="2">Head width</th><td>1.1 ± 0.07</td><td>1.2 - 1.1</td><td>1.2 ± 0.06</td><td>1.2 - 1.1</td></tr><tr><th colspan="2">Head length</th><td>1.0 ± 0.07</td><td>1.1 - 0.9</td><td>0.9 ± 0.02</td><td>1.0 - 0.9</td></tr><tr><th rowspan="5">Antenal segments length</th><td>I</td><td>0.3 ± 0.02</td><td>0.3 - 0.3</td><td>0.3 ± 0.02</td><td>0.3 - 0.2</td></tr><tr><td>II</td><td>0.7 ± 0.04</td><td>0.7 - 0.6</td><td>0.7 ± 0.10</td><td>0.8 - 0.6</td></tr><tr><td>III</td><td>0.6 ± 0.06</td><td>0.7 - 0.6</td><td>0.7 ± 0.04</td><td>0.7 - 0.6</td></tr><tr><td>IV</td><td>1.1 ± 0.03</td><td>1.1 - 1.1</td><td>1.2 ± 0.03</td><td>1.2 - 1.2</td></tr><tr><td>V</td><td>1.2 ± 0.10</td><td>1.2 - 1.1</td><td>0.7 ± 0.76</td><td>1.4 - 1.2</td></tr><tr><th rowspan="4">Rostral segments length</th><td>RI</td><td>0.4 ± 0.03</td><td>0.4 - 0.4</td><td>0.5 ± 0.05</td><td>0.5 - 0.4</td></tr><tr><td>RII</td><td>0.8 ± 0.04</td><td>0.8 - 0.8</td><td>0.8 ± 0.03</td><td>0.9 - 0.8</td></tr><tr><td>RIII</td><td>0.5 ± 0.03</td><td>0.5 - 0.5</td><td>0.6 ± 0.03</td><td>0.6 - 0.5</td></tr><tr><td>RIV</td><td>0.5 ± 0.01</td><td>0.5 - 0.4</td><td>0.5 ± 0.02</td><td>0.5 - 0.5</td></tr><tr><th colspan="2">Pronotum length</th><td>1.3 ± 0.04</td><td>1.3 - 1.2</td><td>1.4 ± 0.04</td><td>1.4 - 1.3</td></tr><tr><th colspan="2">Pronotum width</th><td>3.4 ± 0.08</td><td>3.5 - 3.3</td><td>3.7 ± 0.09</td><td>3.8 - 3.6</td></tr><tr><th colspan="2">Scutellum length</th><td>2.2 ± 0.13</td><td>2.4 - 2.1</td><td>2.5 ± 0.07</td><td>2.6 - 2.4</td></tr><tr><th colspan="2">Scutellum width</th><td>2.2 ± 0.13</td><td>2.3 - 2.0</td><td>2.4 ± 0.06</td><td>2.5 - 2.4</td></tr><tr><th colspan="2">Corium width</th><td>2.9 ± 0.21</td><td>3.1 - 2.6</td><td>3.4 ± 0.02</td><td>3.4 - 3.4</td></tr></tbody></table>
FIGURE 1 in Contributions to the knowledge of Elanela: Elanela jordi sp. nov., from Amazonas, Brazil (Hemiptera: Heteroptera: Pentatomidae)
FIGURE 1. Elanela hevera: (a) Pygophore, dorsal view (dr = dorsal rim; pa = paramere; X = tenth segment); (b) Female external genitalia (gc8 = gonocoxites 8; gc9 = gonocoxites 9; la8 = laterotergites 8; la9 = laterotergites 9; X = tenth segment) (Scale bars = 0.5 mm).
FIGURE 3 in Contributions to the knowledge of Elanela: Elanela jordi sp. nov., from Amazonas, Brazil (Hemiptera: Heteroptera: Pentatomidae)
FIGURE 3. Elanela jordi sp. nov.: (a) Pygophore, dorsal view (dr = dorsal rim; pa = paramere; X = tenth segment); (b) Pygophore, ventral view (ifvr = inferior fold of ventral rim; vr = ventral rim); (c) Left paramere, lateral view; (d) Phallus, posterior view (aa = articulatory apparatus; dc = dorsal connective; pht = phallotheca; ve = vesica); (e) Phallus, anterior view; (f) Phallus, lateral view (pphtII = processus phallothecae II); (g) Female external genitalia (gc8 = gonocoxites 8; gc9 = gonocoxites 9; la8 = laterotergites 8; la9 = laterotergites 9; X = tenth segment); (h) Female internal genitalia (aaf = anterior annular flange; cs = capsula seminalis; ch = chitinellipsen; dr = ductusreceptaculi; g9 = gonapophyses 9; paf = posteriorannularflange; pco = parscommunis; pi = pars intermedialis; tvi = thickeningof vaginalintima; X = tenth segment) (Scale bars: (a)-(b) = 0.5 mm; (c)-(f) = 0.2 mm; (g)-(h) = 1 mm).
FIGURE 2 in Contributions to the knowledge of Elanela: Elanela jordi sp. nov., from Amazonas, Brazil (Hemiptera: Heteroptera: Pentatomidae)
FIGURE 2. Habitus of: (a) Elanelajordi sp. nov., male holotype; (b) Elanela hevera; (c) Elanela kerzhneri, male holotype (Scale bar = 1 mm).
Figure 2 in Two new species of Bonnetina tarantulas (Theraphosidae: Theraphosinae) from Mexico: contributions to morphological nomenclature and molecular characterization of types
Figure 2. Bonnetina tenuiverpis sp. n. Male holotype. (A) Carapace; (B) posterior margin of carapace, showing thick erect setae; (C) ocular area, lateral view; (D) ocular area, dorsal view; (E) sternum; (F) labium and maxillae; (G) left pedipalp, dorsal view, showing retrolateral tibia nodule. Scale lines: 1 mm.
Figure 3 in Two new species of Bonnetina tarantulas (Theraphosidae: Theraphosinae) from Mexico: contributions to morphological nomenclature and molecular characterization of types
Figure 3. Bonnetina tenuiverpis sp. n. Male holotype, left pedipalpal bulb, stereomicroscope images. (A) Prolateral view; (B) retrolateral view; (C) dorsal view; (D) ventral view. Scale line: 1 mm.
Figs 22-23 in Contribution to the knowledge of the genus Quedius S , 1829 of Siberia and Russian Far East (Coleoptera: Staphylinidae: Staphylinini: Quediina)
Figs 22-23: (22) Type locality of Quedius conviva nov.sp.; (23) Type locality of Quedius amurensis nov.sp.
Figure 2 in The contribution of molecular data to our understanding of cephalopod evolution and systematics: a review
Figure 2. Polyploidy scenario suggested by and reproduced from Bonnaud et al. (2004). Updated diploid chromosome numbers (see Table 2) for the various branches are now Nautiloidea 52; Octopoda 56–60; Sepiolida 74; Sepiida 48–112; Myopsida 86–92 (?22-?172).
Figure 6 in The contribution of molecular data to our understanding of cephalopod evolution and systematics: a review
Figure 6. Relationships among Sepiida. (A) Consensus tree based on 12S rRNA, 16S rRNA, cytochrome oxidase subunit II (Bonnaud et al. 2006); (B) maximum likelihood tree of cytochrome oxidase subunit I, cytochrome b and ND5 combined (Yoshida et al. 2010); (C) whole evidence approach using four to ten genes (Lindgren et al. 2012). Trees redrawn from original sources.
ScienceDex guides
Understand access before you commit
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.