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Supplementary material 2 from: Brito J, Koch C, Tinoco N, Pardiñas UFJ (2022) A new species of Mindomys (Rodentia, Cricetidae) with remarks on external traits as indicators of arboreality in sigmodontine rodents. Evolutionary Systematics 6(1): 35-55. https://doi.org/10.3897/evolsyst.6.76879
Diagnostic traits of Mindomys (after Weksler et al. 2006)
Supplementary material 6 from: Brito J, Koch C, Tinoco N, Pardiñas UFJ (2022) A new species of Mindomys (Rodentia, Cricetidae) with remarks on external traits as indicators of arboreality in sigmodontine rodents. Evolutionary Systematics 6(1): 35-55. https://doi.org/10.3897/evolsyst.6.76879
Figure S4
Supplementary material 5 from: Brito J, Koch C, Tinoco N, Pardiñas UFJ (2022) A new species of Mindomys (Rodentia, Cricetidae) with remarks on external traits as indicators of arboreality in sigmodontine rodents. Evolutionary Systematics 6(1): 35-55. https://doi.org/10.3897/evolsyst.6.76879
Figure S3
Supplementary material 4 from: Brito J, Koch C, Tinoco N, Pardiñas UFJ (2022) A new species of Mindomys (Rodentia, Cricetidae) with remarks on external traits as indicators of arboreality in sigmodontine rodents. Evolutionary Systematics 6(1): 35-55. https://doi.org/10.3897/evolsyst.6.76879
Figure S2
Supplementary material 3 from: Brito J, Koch C, Tinoco N, Pardiñas UFJ (2022) A new species of Mindomys (Rodentia, Cricetidae) with remarks on external traits as indicators of arboreality in sigmodontine rodents. Evolutionary Systematics 6(1): 35-55. https://doi.org/10.3897/evolsyst.6.76879
Figure S1
Supplementary material 1 from: Brito J, Koch C, Tinoco N, Pardiñas UFJ (2022) A new species of Mindomys (Rodentia, Cricetidae) with remarks on external traits as indicators of arboreality in sigmodontine rodents. Evolutionary Systematics 6(1): 35-55. https://doi.org/10.3897/evolsyst.6.76879
GenBank access numbers of cricetid taxa used in the phylogenetic analyses
Supplementary material 3 from: Zulian G, Marando F, Mentaschi L, Alzetta C, Wilk B, Maes J (2022) Green balance in urban areas as an indicator for policy support: a multi-level application. One Ecosystem 7: e72685. https://doi.org/10.3897/oneeco.7.e72685
Setting the context at local level
Supplementary material 1 from: Zulian G, Marando F, Mentaschi L, Alzetta C, Wilk B, Maes J (2022) Green balance in urban areas as an indicator for policy support: a multi-level application. One Ecosystem 7: e72685. https://doi.org/10.3897/oneeco.7.e72685
Tutorial
Supplementary material 4 from: Zulian G, Marando F, Mentaschi L, Alzetta C, Wilk B, Maes J (2022) Green balance in urban areas as an indicator for policy support: a multi-level application. One Ecosystem 7: e72685. https://doi.org/10.3897/oneeco.7.e72685
Greenness and changes in vegetation cover in not densely built areas
Supplementary material 2 from: Zulian G, Marando F, Mentaschi L, Alzetta C, Wilk B, Maes J (2022) Green balance in urban areas as an indicator for policy support: a multi-level application. One Ecosystem 7: e72685. https://doi.org/10.3897/oneeco.7.e72685
Setting the context at European Level
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2019/2020 – France
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2020 AMR data collection: French Agency for Food, Environmental and Occupational Health & Safety</p>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2019/2020 – Sweden
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2020 AMR data collection: National Veterinary Institute, Swedish Zoonosis Centre</p>
Figure 16 in Phylogeny indicates polyphyly in Cnodocentron (Trichoptera: Xiphocentronidae): biogeography and revision of New World species (Caenocentron)
Figure 16. Caenocentron ideolus, male genitalia: A, lateral; B, ventral.
Figure 8 in Phylogeny indicates polyphyly in Cnodocentron (Trichoptera: Xiphocentronidae): biogeography and revision of New World species (Caenocentron)
Figure 8. Caenocentron carlosdelarosai sp. nov. male genitalia. A, lateral; B, dorsal; C, ventral.
Figure 15. Caenocentron galesus, male genitalia A in Phylogeny indicates polyphyly in Cnodocentron (Trichoptera: Xiphocentronidae): biogeography and revision of New World species (Caenocentron)
Figure 15. Caenocentron galesus, male genitalia A, lateral; B, ventral.
Figure 7 in Phylogeny indicates polyphyly in Cnodocentron (Trichoptera: Xiphocentronidae): biogeography and revision of New World species (Caenocentron)
Figure 7. Caenocentron carlosdelarosai sp. nov. A, head and thorax; B, wing venation.
Figure 14 in Phylogeny indicates polyphyly in Cnodocentron (Trichoptera: Xiphocentronidae): biogeography and revision of New World species (Caenocentron)
Figure 14. Caenocentron yavapai male genitalia: A, lateral; B, dorsal; C, ventral.
Figure 17 in Phylogeny indicates polyphyly in Cnodocentron (Trichoptera: Xiphocentronidae): biogeography and revision of New World species (Caenocentron)
Figure 17. Caenocentron immaculatum, male genitalia: A, lateral; B, dorsal; C, ventral.
Figure 18 in Phylogeny indicates polyphyly in Cnodocentron (Trichoptera: Xiphocentronidae): biogeography and revision of New World species (Caenocentron)
Figure 18. Caenocentron lausus, male genitalia: A, lateral; B, ventral.
Strong migratory connectivity indicates Willets need subspecies-specific conservation strategies
<p>By combining all available banding and tracking data, we found that Willets (<em>Tringa semipalmata</em>) have strong migratory connectivity between breeding and nonbreeding locations at the range-wide and subspecies levels, exposing the two subspecies to varying threats such as hunting for the eastern subspecies (<em>T. s. semipalmata</em>) and climatically-altered coastal habitats for both subspecies. We found that Western Willets (<em>T. s. inornata</em>) primarily used nonbreeding habitats along the Pacific Coast of the United States, although their reported nonbreeding range extends to the U.S. Atlantic and Gulf Coasts and the Pacific Coast of Central and South America. Eastern Willets wintered in Central and South America, which covers much of the subspecies' known nonbreeding range. By quantifying migratory connectivity within and between two subspecies, we could suggest subspecies-specific threats and potential limiting factors in the breeding and nonbreeding periods of the annual cycle of a declining migratory shorebird. Effective management of the species will likely require a range of conservation strategies across the diverse nonbreeding regions the two subspecies occupy within the United States, Central America, and South America. However, more data are needed from Willets breeding in mid-continent North America to understand the complete extent of overlap of the two subspecies throughout the annual cycle. The strong migratory connectivity documented here highlights the need to manage Willets by subspecies and protect a diversity of breeding and nonbreeding habitats, which will benefit the conservation of other shorebird species that overlap with Willets throughout the annual cycle.</p>
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.