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Figure 5 from: Wall-Palmer D, Hegmann M, Goetze E, Peijnenburg KTCA (2019) Resolving species boundaries in the Atlanta brunnea species group (Gastropoda, Pterotracheoidea). ZooKeys 899: 59-84. https://doi.org/10.3897/zookeys.899.38892
Figure 5 Principal Component Analysis (PCA) performed on apical angle, height: width ratio and the number of whorls in the larval shell. Species identity confirmed for most specimens (N = 25) using DNA barcoding (CO1). Two specimens of each species (total N = 6) derive from the DANA collection, and could not be DNA barcoded (formalin-fixed). Morphometric data are reported in Suppl. material 2:Table S1.
Figure 6 from: Wall-Palmer D, Hegmann M, Goetze E, Peijnenburg KTCA (2019) Resolving species boundaries in the Atlanta brunnea species group (Gastropoda, Pterotracheoidea). ZooKeys 899: 59-84. https://doi.org/10.3897/zookeys.899.38892
Figure 6 Shell apical angles of A. brunnea (Atlantic, Pacific and Indian oceans), A. vanderspoeli (Pacific Ocean) and A. turriculata (Pacific and Indian oceans) are significantly different and do not overlap.
Figure 3 from: Wall-Palmer D, Hegmann M, Goetze E, Peijnenburg KTCA (2019) Resolving species boundaries in the Atlanta brunnea species group (Gastropoda, Pterotracheoidea). ZooKeys 899: 59-84. https://doi.org/10.3897/zookeys.899.38892
Figure 3 A Distribution maps showing the collection locations for each clade identified in B. The collection location of specimens of A. turriculata forma B identified by van der Spoel (1976) from offshore of Ternate Island is marked with a white triangle B maximum likelihood phylogeny based on the mitochondrial cytochrome c oxidase subunit 1 gene, with strong bootstrap support for four clades within the A. brunnea group. Atlanta vanderspoeli is supported as a valid species, and A. brunnea is formed of two geographically isolated clades. Bootstrap support (%) for nodes is displayed and branch lengths are proportional to the amount of inferred change, as indicated by the scale bar (mean number of nucleotide substitutions per site).
Figure 4 from: Wall-Palmer D, Hegmann M, Goetze E, Peijnenburg KTCA (2019) Resolving species boundaries in the Atlanta brunnea species group (Gastropoda, Pterotracheoidea). ZooKeys 899: 59-84. https://doi.org/10.3897/zookeys.899.38892
Figure 4 Maximum likelihood phylogeny of the A. brunnea species group based on analysis of the combined genes CO1, 28S and 18S with a total alignment of 2447 bp. All four clades within the A. brunnea species group are monophyletic with strong bootstrap support. Bootstrap support (%) for nodes is displayed and branch lengths are proportional to the amount of inferred change, as indicated by the scale bar (mean number of nucleotide substitutions per site).
Figure 10 from: Wall-Palmer D, Hegmann M, Goetze E, Peijnenburg KTCA (2019) Resolving species boundaries in the Atlanta brunnea species group (Gastropoda, Pterotracheoidea). ZooKeys 899: 59-84. https://doi.org/10.3897/zookeys.899.38892
Figure 10 Five specimens of Atlanta turriculata forma B identified by van der Spoel and held in the collection at the Naturalis Biodiversity Center. These specimens are now designated as paratypes of Atlanta vanderspoeli RMNH.MOL.342212.
Figure 1 from: Wall-Palmer D, Hegmann M, Goetze E, Peijnenburg KTCA (2019) Resolving species boundaries in the Atlanta brunnea species group (Gastropoda, Pterotracheoidea). ZooKeys 899: 59-84. https://doi.org/10.3897/zookeys.899.38892
Figure 1 Collection locations for A. brunnea group specimens analysed in this study. Members of this species group are known to inhabit all oceans from 40N to 30S (Wall-Palmer et al. 2018b).
Supplementary material 1 from: Bartolucci F, Domina G, Ardenghi NMG, Bacaro G, Bacchetta G, Ballarin F, Banfi E, Barberis G, Beccarisi L, Bernardo L, Bonari G, Bonini F, Brullo S, Buono S, Buono V, Calbi M, Caldararo F, Calvia G, Cancellieri L, Cannavò S, Dagnino D, Esposito A, Fascetti S, Filibeck G, Fiorini G, Forte L, Galasso G, Gestri G, Gigante D, Gottschlich G, Gubellini L, Hofmann N, Lastrucci L, Lonati M, Lorenz R, Lunardi L, Magrini S, Mainetti A, Maiorca G, Mereu G, Messa Ballarin RT, Minuto L, Mossini S, Musarella CM, Nimis PL, Passalacqua NG, Peccenini S, Petriglia B, Podda L, Potenza G, Ravetto Enri S, Roma-Marzio F, Rosati L, Ruggero A, Spampinato G, Stinca A, Tiburtini M, Tietto C, Tomaselli V, Turcato C, Viciani D, Wagensommer RP, Nepi C (2019) Notulae to the Italian native vascular flora: 8. Italian Botanist 8: 95-116. https://doi.org/10.3897/italianbotanist.8.48626
: Data type: species data
Supplementary material 1 from: Galasso G, Domina G, Andreatta S, Angiolini C, Ardenghi NMG, Aristarchi C, Arnoul M, Azzella MM, Bacchetta G, Bartolucci F, Bodino S, Bommartini G, Bonari G, Buono S, Buono V, Caldarella O, Calvia G, Corti E, D'Antraccoli M, De Luca R, De Mattia F, Di Natale S, Di Turi A, Esposito A, Ferretti G, Fiaschi T, Fogu MC, Forte L, Frigerio J, Gubellini L, Guzzetti L, Hofmann N, Laface VLA, Laghetti G, Lallai A, La Rosa A, Lazzaro L, Lodetti S, Lonati M, Luchino F, Magrini S, Mainetti A, Marignani M, Maruca G, Medagli P, Mei G, Menini F, Mezzasalma V, Misuri A, Mossini S, Mugnai M, Musarella CM, Nota G, Olivieri N, Padula A, Pascale M, Pasquini F, Peruzzi L, Picella G, Pinzani L, Pirani S, Pittarello M, Podda L, Enri SR, Rifici CD, Roma-Marzio F, Romano R, Rosati L, Scafidi F, Scarici E, Scarici M, Spampinato G, Stinca A, Wagensommer RP, Zanoni G, Nepi C (2019) Notulae to the Italian alien vascular flora: 8. Italian Botanist 8: 63-93. https://doi.org/10.3897/italianbotanist.8.48621
: Data type: species data
Figure 2 from: Zhang M, Li T-H, Wang C-Q, Zeng N-K, Deng W-Q (2019) Phylogenetic overview of Aureoboletus (Boletaceae, Boletales), with descriptions of six new species from China. MycoKeys 61: 111-145. https://doi.org/10.3897/mycokeys.61.47520
Figure 2 Basidiomata of six new species and one new combination of Aureoboletus from China. A, BA. glutinosus (A GDGM44476 B GDGM44477, holotype) CA. griseorufescens (GDGM28490, holotype) D, EA. miniatoaurantiacus (D GDGM43439 E GDGM43282) F, GA. raphanaceus (F GDGM45911, holotype G GDGM52890) H, IA. sinobadius (H GDGM44732 IGDGM 71932, holotype) J, KA. solus (GDGM44759, holotype) LA. velutipes (L GDGM44713, holotype). Scale bars: 2 cm.
Figure 1 from: Zhang M, Li T-H, Wang C-Q, Zeng N-K, Deng W-Q (2019) Phylogenetic overview of Aureoboletus (Boletaceae, Boletales), with descriptions of six new species from China. MycoKeys 61: 111-145. https://doi.org/10.3897/mycokeys.61.47520
Figure 1 Maximum likelihood tree from a RAXML search using the GTRGAMMA model, illustrating the phylogeny of Aureoboletus and related taxa in Boletales, based on a multilocus (nrLSU, tef1-a, rpb1 and rpb2) dataset. Phylloporus imbricatus N.K. Zeng, Zhu L. Yang & L.P. Tang and Xerocomus subtomentosus (L.) Quél. are chosen as outgroups. The lineages with new species and new combination are bold in the tree. Branches are labelled with maximum likelihood bootstrap higher than 70% and Bayesian posterior probabilities more than 0.95.
Figure 10 from: Zhang M, Li T-H, Wang C-Q, Zeng N-K, Deng W-Q (2019) Phylogenetic overview of Aureoboletus (Boletaceae, Boletales), with descriptions of six new species from China. MycoKeys 61: 111-145. https://doi.org/10.3897/mycokeys.61.47520
Figure 10 Aureoboletus miniatoaurantiacus. A Basidiospores B Cheilocystidia C Pleurocystidia D Basidia and pleurocystidia E Pileipellis. Scale bars: 10 µm (A–D), 20 µm (E).
Figure 9 from: Zhang M, Li T-H, Wang C-Q, Zeng N-K, Deng W-Q (2019) Phylogenetic overview of Aureoboletus (Boletaceae, Boletales), with descriptions of six new species from China. MycoKeys 61: 111-145. https://doi.org/10.3897/mycokeys.61.47520
Figure 9 Aureoboletus velutipes. A Basidiospores B Pleurocystidia C Basidia and pleurocystidia D Pileipellis E Stipitipellis. Scale bars: 10 µm (A–C), 40 µm (D, E).
Figure 2 from: Li L, Qin M, Wang W-Y, Zeng S-J, Zhang G-Q, Liu Z-J (2019) The taxonomic identities of Pholidota wenshanica and P. subcalceata (Orchidaceae, Coelogyninae). PhytoKeys 136: 97-106. https://doi.org/10.3897/phytokeys.136.46705
Figure 2 The morphology of Pholidota leveilleana (A, C, E–H) and P. wenshanica (B, D, I–L) A–B habit C–D inflorescences E, I flower, frontal view F, J column and lip, lateral view G, K lip, ventral view H,L column, front view. Scale bars: 5 mm (E, I), 3 mm (F–H, J–L).
Figure 1 from: Li L, Qin M, Wang W-Y, Zeng S-J, Zhang G-Q, Liu Z-J (2019) The taxonomic identities of Pholidota wenshanica and P. subcalceata (Orchidaceae, Coelogyninae). PhytoKeys 136: 97-106. https://doi.org/10.3897/phytokeys.136.46705
Figure 1 The types and selected specimens of P. wenshanica (A–C), Pholidota leveilleana (D–F) and P. subcalceata (G–I) A holotype sheet of P. wenshanicaB China, Guangxi, Longzhou, HK Kadoorie PT 714 (PE) C China, Yunnan, HK Kadoorie Team 2361 (PE) D holotype sheet of P. leveilleanaE China, Guangxi, China-UK Expedition Team ASBK365 (IBK) F China, Guangxi, Y.S. Huang Y1229 (IBK) G Holotype sheet of P. subcalceataH isotype sheet of P. subcalceataI Vietnam, Kontum, L.V. Averyanov & al., VH 292 (P).
Supplementary material 2 from: Desvignes V, Buschhardt T, Guillier L, Sanaa M (2019) Quantitative microbial risk assessment for Salmonella in eggs. Food Modelling Journal 1: e39643. https://doi.org/10.3897/fmj.1.39643
Parameter settings
Supplementary material 1 from: Desvignes V, Buschhardt T, Guillier L, Sanaa M (2019) Quantitative microbial risk assessment for Salmonella in eggs. Food Modelling Journal 1: e39643. https://doi.org/10.3897/fmj.1.39643
QMRA_Salmonella_egg_Virginie.fskx
Figure 3 from: Murray M, O'Donnell M, Laufersweiler MJ, Novak J, Rozum B, Thompson S (2019) A survey of the state of research data services in 35 U.S. academic libraries, or "Wow, what a sweeping question". Research Ideas and Outcomes 5: e48809. https://doi.org/10.3897/rio.5.e48809
Figure 3 Types of campus groups that provide RDS (n=103). Type codes are defined as follows: Admin: a campus administrative unit that does not fall into any other category; Center: research centers or institutes excluding HPC groups; Dept = Departments or colleges; HPC: High Performance Computing and research computing units including HPC run by IT units; Individuals: Individual staff, faculty, students, etc.; IT: Information Technology associated with the entire campus, colleges, or departments excluding HPC groups; Lab: Various labs on campus that do not fall into any other category; Research Office: Groups that oversee university research; Other: Groups that cannot be categorized under any other code.
Figure 2 from: Murray M, O'Donnell M, Laufersweiler MJ, Novak J, Rozum B, Thompson S (2019) A survey of the state of research data services in 35 U.S. academic libraries, or "Wow, what a sweeping question". Research Ideas and Outcomes 5: e48809. https://doi.org/10.3897/rio.5.e48809
Figure 2 Breakdown of the workshops or topics with a tool or programming language code applied (n=47). Only tool codes that have a frequency >1 are shown. Tool code names are self-explanatory (i.e. the name of tool).
Figure 1 from: Murray M, O'Donnell M, Laufersweiler MJ, Novak J, Rozum B, Thompson S (2019) A survey of the state of research data services in 35 U.S. academic libraries, or "Wow, what a sweeping question". Research Ideas and Outcomes 5: e48809. https://doi.org/10.3897/rio.5.e48809
Figure 1 Workshop topic code frequencies. Up to two topic codes were applied to each workshop (n=160). Topic codes are defined as follows: Carpentry: a data or software Carpentry workshop; Cleaning: data cleaning and related techniques; Coding: how to work with data via command line or in a specific language; General: the basics of data management; GIS: geographic information system or spatial data/tools; Grants: the word "grants" or the name of a funding agency was explicitly mentioned in the workshop's title or description; HPC: high performance computing; Locate: focused on how to search and locate datasets; Metadata: metadata and data documentation; Mining: focused on text and data mining; Org: data organization; Other: misc. topics or unclassifiable; Plans: data management plans; Repository: addresses a specific repository, how to use a repository, or data repositories in general; Reproducibility: focused on research reproducibility; StorageSec: data storage and/or security tools and topics; Tool: focused on how to use tools related to data and data management (see Fig. 2); Visualization: data visualization.
Supplementary material 1 from: Murray M, O'Donnell M, Laufersweiler MJ, Novak J, Rozum B, Thompson S (2019) A survey of the state of research data services in 35 U.S. academic libraries, or "Wow, what a sweeping question". Research Ideas and Outcomes 5: e48809. https://doi.org/10.3897/rio.5.e48809
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.