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Figures 16-18 from: Bharti H, Kumar R (2012) Taxonomic studies on genus Tetramorium Mayr (Hymenoptera, Formicidae) with report of two new species and three new records including a tramp species from India with a revised key. ZooKeys 207: 11-35. https://doi.org/10.3897/zookeys.207.3040
Figures 16-18 - Tetramorium tonganum Mayr, Worker: 16 Head, full-face view 17 Body, lateral view 18 Body, dorsal view.
Figures 19-21 from: Bharti H, Kumar R (2012) Taxonomic studies on genus Tetramorium Mayr (Hymenoptera, Formicidae) with report of two new species and three new records including a tramp species from India with a revised key. ZooKeys 207: 11-35. https://doi.org/10.3897/zookeys.207.3040
Figures 19-21 - Tetramorium tonganum Mayr, Queen: 19 Head, full-face view; 20 Body, lateral view 21 Body, dorsal view.
Figures 25-27 from: Bharti H, Kumar R (2012) Taxonomic studies on genus Tetramorium Mayr (Hymenoptera, Formicidae) with report of two new species and three new records including a tramp species from India with a revised key. ZooKeys 207: 11-35. https://doi.org/10.3897/zookeys.207.3040
Figures 25-27 - Tetramorium urbanii Bolton, Worker: 25 Head, full-face view; 26 Body, lateral view 27 Body, dorsal view.
Figures 22-24 from: Bharti H, Kumar R (2012) Taxonomic studies on genus Tetramorium Mayr (Hymenoptera, Formicidae) with report of two new species and three new records including a tramp species from India with a revised key. ZooKeys 207: 11-35. https://doi.org/10.3897/zookeys.207.3040
Figures 22-24 - Tetramorium tonganum Mayr, Male: 22 Head, full-face view; 23 Body, lateral view 24 Body, dorsal view.
Figures 13-15 from: Bharti H, Kumar R (2012) Taxonomic studies on genus Tetramorium Mayr (Hymenoptera, Formicidae) with report of two new species and three new records including a tramp species from India with a revised key. ZooKeys 207: 11-35. https://doi.org/10.3897/zookeys.207.3040
Figures 13-15 - Tetramorium caldarium (Roger), Worker: 13 Head, full-face view 14 Body, lateral view 15 Body, dorsal view.
Figures 10-12 from: Bharti H, Kumar R (2012) Taxonomic studies on genus Tetramorium Mayr (Hymenoptera, Formicidae) with report of two new species and three new records including a tramp species from India with a revised key. ZooKeys 207: 11-35. https://doi.org/10.3897/zookeys.207.3040
Figures 10-12 - Tetramorium triangulatum sp. n., Male: 10 Head, full-face view 11 Body, lateral view 12 Body, dorsal view.
Figure 3 in Self-reported headache among the employees of a Swiss university hospital: prevalence, disability, current treatment, and economic impact
Figure 3 Percentage of employees with headache distributed according to occupational groups. After correction for age and seX there Was at trend that healthcare staff, administration, and medical technicians suffered more from headaches than physicians. See teXt. The absolute numbers of respondents are given on the respective columns.
Figure 4 in Self-reported headache among the employees of a Swiss university hospital: prevalence, disability, current treatment, and economic impact
Figure 4 MIDAS grades in respondents with migraine and tension-type headache employed in a Swiss university hospital. Grade 1 (scores 0–5) = little or no disability; grade 2 (scores 6–10) = mild disability; grade 3 (scores 11–20) = moderate disability; grade 4 (score ≥ 21) = severe disability [14]. There Was significant association betWeen headache diagnosis and MIDAS grade (p<0.001).
Figure 2 in Self-reported headache among the employees of a Swiss university hospital: prevalence, disability, current treatment, and economic impact
Figure 2 Flow chart of the study: Participation and sample characteristics.
FIGURE 7 in Desutterella n. gen., a new genus of Luzarinae (Orthoptera: Grylloidea: Phalangopsidae) and the first report of the Aracambiae group Souza-Dias & Desutter-Grandcolas, 2014 in the Amazon
FIGURE 7. Distribution map of the Aracambiae group.
FIGURE 1. Desutterella manauara n. gen. n in Desutterella n. gen., a new genus of Luzarinae (Orthoptera: Grylloidea: Phalangopsidae) and the first report of the Aracambiae group Souza-Dias & Desutter-Grandcolas, 2014 in the Amazon
FIGURE 1. Desutterella manauara n. gen. n. sp. A, male habitus; B, female habitus.
Figures 1-2 from: Abba AM, Benitez VV, Doyle SR (2017) Population ecology of Chaetophractus vellerosus: the first report for an armadillo in South America. Zoologia 34: 1-7. https://doi.org/10.3897/zoologia.34.e20785
Figures 1-2 - (1) Geographical range of Chaetophractus vellerosus and location of the relict population in Magdalena, Buenos Aires Province. Map was extracted from IUCN SSC Anteater, Sloth and Armadillo Specialist Group, C. vellerosus. The IUCN Red List of Threatened Species. (2) Satellite image of the fields where the armadillos were captured. The dotted line represents the boundaries of the study area. Scale bar: 250 m.
Figure 5 from: Abba AM, Benitez VV, Doyle SR (2017) Population ecology of Chaetophractus vellerosus: the first report for an armadillo in South America. Zoologia 34: 1-7. https://doi.org/10.3897/zoologia.34.e20785
Figure 5 - Projection of a survivorship curve for Chaetophractus vellerosus adult individuals of both sexes, assuming constant survival, from an age of nine months old, when sex maturity is achieved (Nowak 1991), to 10 years old. Solid lines correspond to mean and dotted lines correspond to 95% confidence intervals (black = female, grey = male).
Figure 4 from: Abba AM, Benitez VV, Doyle SR (2017) Population ecology of Chaetophractus vellerosus: the first report for an armadillo in South America. Zoologia 34: 1-7. https://doi.org/10.3897/zoologia.34.e20785
Figure 4 - Mean values (± SE) of weekly capture probability (p) for adult Chaetophractus vellerosus for each field survey, estimated by multi-model inference based on the set of candidate CJS models. Values are presented for both sexes combined because differences in capture probability between males and females were in all cases < 3%.
Figure 3 from: Abba AM, Benitez VV, Doyle SR (2017) Population ecology of Chaetophractus vellerosus: the first report for an armadillo in South America. Zoologia 34: 1-7. https://doi.org/10.3897/zoologia.34.e20785
Figure 3 - Temporal variation in annual survival probability of Chaetophractus vellerosus, estimated by multi-model inference based on the set of candidate CJS models. Error bars correspond to 95% confidence intervals, and letters (A and B) denote statistically homogeneous subsets (P > 0.05).
Supplementary material 4 from: Nilsson RH, Taylor AFS, Adams RI, Baschien C, Bengtsson-Palme J, Cangren P, Coleine C, Daniel H-M, Glassman SI, Hirooka Y, Irinyi L, Iršėnaitė R, Martin-Sanchez PM, Meyer W, Oh S-Y, Sampaio JP, Seifert KA, Sklenář F, Stubbe D, Suh S-O, Summerbell R, Svantesson S, Unterseher M, Visagie CM, Weiss M, Woudenberg JHC, Wurzbacher C, den Wyngaert SV, Yilmaz N, Yurkov A, Kõljalg U, Abarenkov K (2018) Taxonomic annotation of public fungal ITS sequences from the built environment – a report from an April 10–11, 2017 workshop (Aberdeen, UK). MycoKeys 28: 65-82. https://doi.org/10.3897/mycokeys.28.20887
The interactive Krona chart associated with Figure 2 :
Supplementary material 2 from: Nilsson RH, Taylor AFS, Adams RI, Baschien C, Bengtsson-Palme J, Cangren P, Coleine C, Daniel H-M, Glassman SI, Hirooka Y, Irinyi L, Iršėnaitė R, Martin-Sanchez PM, Meyer W, Oh S-Y, Sampaio JP, Seifert KA, Sklenář F, Stubbe D, Suh S-O, Summerbell R, Svantesson S, Unterseher M, Visagie CM, Weiss M, Woudenberg JHC, Wurzbacher C, den Wyngaert SV, Yilmaz N, Yurkov A, Kõljalg U, Abarenkov K (2018) Taxonomic annotation of public fungal ITS sequences from the built environment – a report from an April 10–11, 2017 workshop (Aberdeen, UK). MycoKeys 28: 65-82. https://doi.org/10.3897/mycokeys.28.20887
The MIxS-BE annotations implemented for the built environment sequences during the workshop :
Figure 3 from: Nilsson RH, Taylor AFS, Adams RI, Baschien C, Bengtsson-Palme J, Cangren P, Coleine C, Daniel H-M, Glassman SI, Hirooka Y, Irinyi L, Iršėnaitė R, Martin-Sanchez PM, Meyer W, Oh S-Y, Sampaio JP, Seifert KA, Sklenář F, Stubbe D, Suh S-O, Summerbell R, Svantesson S, Unterseher M, Visagie CM, Weiss M, Woudenberg JHC, Wurzbacher C, den Wyngaert SV, Yilmaz N, Yurkov A, Kõljalg U, Abarenkov K (2018) Taxonomic annotation of public fungal ITS sequences from the built environment – a report from an April 10–11, 2017 workshop (Aberdeen, UK). MycoKeys 28: 65-82. https://doi.org/10.3897/mycokeys.28.20887
Figure 3 Analysis of the MIxS-BE "building occupancy type" (type of building where the underlying sample was taken). The figure is based on Abarenkov et al. (2016) plus the data added during the workshop, such that it indicates the scientific state of ITS-based Sanger-derived sequencing of the built mycobiome as of spring 2017.
Figure 2 from: Nilsson RH, Taylor AFS, Adams RI, Baschien C, Bengtsson-Palme J, Cangren P, Coleine C, Daniel H-M, Glassman SI, Hirooka Y, Irinyi L, Iršėnaitė R, Martin-Sanchez PM, Meyer W, Oh S-Y, Sampaio JP, Seifert KA, Sklenář F, Stubbe D, Suh S-O, Summerbell R, Svantesson S, Unterseher M, Visagie CM, Weiss M, Woudenberg JHC, Wurzbacher C, den Wyngaert SV, Yilmaz N, Yurkov A, Kõljalg U, Abarenkov K (2018) Taxonomic annotation of public fungal ITS sequences from the built environment – a report from an April 10–11, 2017 workshop (Aberdeen, UK). MycoKeys 28: 65-82. https://doi.org/10.3897/mycokeys.28.20887
Figure 2 Krona chart of the taxonomic affiliation of the built environment sequences down to order level. The Krona chart lists all annotated built environment sequences except those classified as Fungi sp. (32%) and those of non-fungal origin (1%). An interactive version of the Krona chart is provided as Supplementary material 4. The figure is based on Abarenkov et al. (2016) plus the data added during the workshop, such that it indicates the scientific state of ITS-based Sanger-derived sequencing of the built mycobiome as of spring 2017.
Figure 1 from: Nilsson RH, Taylor AFS, Adams RI, Baschien C, Bengtsson-Palme J, Cangren P, Coleine C, Daniel H-M, Glassman SI, Hirooka Y, Irinyi L, Iršėnaitė R, Martin-Sanchez PM, Meyer W, Oh S-Y, Sampaio JP, Seifert KA, Sklenář F, Stubbe D, Suh S-O, Summerbell R, Svantesson S, Unterseher M, Visagie CM, Weiss M, Woudenberg JHC, Wurzbacher C, den Wyngaert SV, Yilmaz N, Yurkov A, Kõljalg U, Abarenkov K (2018) Taxonomic annotation of public fungal ITS sequences from the built environment – a report from an April 10–11, 2017 workshop (Aberdeen, UK). MycoKeys 28: 65-82. https://doi.org/10.3897/mycokeys.28.20887
Figure 1 Analysis of the built environment sequences for country of collection. Country centroids based on the geographical centres of contiguous country land masses are marked with bubbles of different size on the global map to indicate the number of built environment sequences originating from these countries as stated explicitly in the underlying INSDC records or as restored during the present effort and in Abarenkov et al. (2016) (57 distinct countries, sequence count ranging from 1 to 3,091). The figure is based on Abarenkov et al. (2016) plus the data added during the workshop, such that it indicates the scientific state of ITS-based Sanger-derived sequencing of the built mycobiome as of spring 2017.
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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.