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Figures 10-13 from: Tian M, Deuve T, Felix R (2012) Orthogonius species and diversity in Thailand (Coleoptera, Caraboidea, Orthogoniini), a result from the TIGER project. ZooKeys 164: 51-90. https://doi.org/10.3897/zookeys.164.1992
Figures 10-13 - Habitus of Orthogonius spp. n. 10 Orthogonius constrictus sp. n. holotype 11 Orthogonius pinophilus sp. n. holotype 12 Orthogonius vari sp. n. holotype 13 Orthogonius variabilis sp. n. holotype. Scale bar: 10 mm.
Figures 2-5 from: Tian M, Deuve T, Felix R (2012) Orthogonius species and diversity in Thailand (Coleoptera, Caraboidea, Orthogoniini), a result from the TIGER project. ZooKeys 164: 51-90. https://doi.org/10.3897/zookeys.164.1992
Figures 2-5 - Habitus of Orthogonius spp. n. 2 Orthogonius taghavianae sp. n. holotype 3 Orthogonius coomanioides sp. n. holotype 4 Orthogonius similaris sp. n. paratype 5 Orthogonius setosopalpiger sp. n. holotype. Scale bar: 10 mm.
Figure 38 from: Tian M, Deuve T, Felix R (2012) Orthogonius species and diversity in Thailand (Coleoptera, Caraboidea, Orthogoniini), a result from the TIGER project. ZooKeys 164: 51-90. https://doi.org/10.3897/zookeys.164.1992
Figure 38 - Species number and composition (%) of Orthogonius in different national parks in Thailand
Figures 31-37 from: Tian M, Deuve T, Felix R (2012) Orthogonius species and diversity in Thailand (Coleoptera, Caraboidea, Orthogoniini), a result from the TIGER project. ZooKeys 164: 51-90. https://doi.org/10.3897/zookeys.164.1992
Figures 31-37 - Aedeagus of Orthogonius spp. (lateral view, and apex in dorsal view) 31 Orthogonius loeiensis Tian & Deuve 32 Orthogonius kirirom Tian & Deuve 33 Orthogonius pachlatkoi Tian & Deuve 34 Orthogonius siamensis Tian & Deuve 35 Orthogonius chiangensis Tian & Deuve 36 Orthogonius pseudolongicornis Tian & Deuve 37 Orthogonius longicornis Chaudoir. Scale bar: 1 mm.
Figure 7 from: Bertone M, Blinn R, Stanfield T, Dew K, Seltmann K, Deans A (2012) Results and insights from the NCSU Insect Museum GigaPan project. ZooKeys 209: 115-132. https://doi.org/10.3897/zookeys.209.3083
Figure 7 - Illustration of the panning angle with the GigaPan robot at different heights. A higher than described B as described C lower than described.
Figure 6 from: Bertone M, Blinn R, Stanfield T, Dew K, Seltmann K, Deans A (2012) Results and insights from the NCSU Insect Museum GigaPan project. ZooKeys 209: 115-132. https://doi.org/10.3897/zookeys.209.3083
Figure 6 - Panorama measures of distortion and resolution. A drawer with illustrations and 1cm x 1cm (1mm subunit) grids spanning the panorama B comparison of distortion produced across the top (1, 2, & 3), middle (4, 5, & 6), and bottom (7, 8, & 9) of drawer in A C smallest resolvable difference between black and white (~80µm) at 1:1 magnification (from blue rectangle in A).
Figure 5 from: Bertone M, Blinn R, Stanfield T, Dew K, Seltmann K, Deans A (2012) Results and insights from the NCSU Insect Museum GigaPan project. ZooKeys 209: 115-132. https://doi.org/10.3897/zookeys.209.3083
Figure 5 - Example of a thematic drawer displaying the diversity of the four largest insect orders (http://gigapan.org/gigapans/49310 ). Clockwise from Top Left: Hymenoptera (wasps, ants & bees), Lepidoptera (moths & butterflies), Coleoptera (beetles), and Diptera (true flies). The drawer also serves as an outreach tool by containing some mistakes for people to identify and further learn the differences between the orders.
Figure 3 from: Bertone M, Blinn R, Stanfield T, Dew K, Seltmann K, Deans A (2012) Results and insights from the NCSU Insect Museum GigaPan project. ZooKeys 209: 115-132. https://doi.org/10.3897/zookeys.209.3083
Figure 3 - Schematic of project workflow. Note: times are rough estimates and prone to change depending on the efficiency of several steps.
Figure 2 from: Bertone M, Blinn R, Stanfield T, Dew K, Seltmann K, Deans A (2012) Results and insights from the NCSU Insect Museum GigaPan project. ZooKeys 209: 115-132. https://doi.org/10.3897/zookeys.209.3083
Figure 2 - Color standards and white space filler. A Kodak Tiffen Color Separation Guide B, C text/picture white space filler.
Figure 4 from: Bertone M, Blinn R, Stanfield T, Dew K, Seltmann K, Deans A (2012) Results and insights from the NCSU Insect Museum GigaPan project. ZooKeys 209: 115-132. https://doi.org/10.3897/zookeys.209.3083
Figure 4 - Examples of typical drawers, showing larger specimens, average specimens, and smaller specimens (A, B & C, respectively). Left – full drawer image; Right – zoomed to full resolution. A Belostomatidae 1 (http://gigapan.org/gigapans/96136 ) B Bombyliidae 5 (http://gigapan.org/gigapans/89195 ) C Silvanidae 2 (http://gigapan.org/gigapans/95947 )
Figure 1 from: Bertone M, Blinn R, Stanfield T, Dew K, Seltmann K, Deans A (2012) Results and insights from the NCSU Insect Museum GigaPan project. ZooKeys 209: 115-132. https://doi.org/10.3897/zookeys.209.3083
Figure 1 - The complete imaging station. A GigaPan Epic 100 ("silver model") robot B Canon PowerShot G11 camera C copy stand D light with continuous compact fluorescent bulbs E insect drawer.
Figure 2 from: Arvanitidis C, Faulwetter S, Chatzigeorgiou G, Penev L, Bánki O, Dailianis T, Pafilis E, Kouratoras M, Chatzinikolaou E, Fanini L, Vasileiadou A, Pavloudi C, Vavilis P, Koulouri P, Dounas C (2011) Engaging the broader community in biodiversity research: the concept of the COMBER pilot project for divers in ViBRANT. ZooKeys 150: 211-229. https://doi.org/10.3897/zookeys.150.2149
Figure 2 - Map of observation sites: A = Lygaria B = Agios Nikolaos C = Tinos D = Pylos E = Hersonissos F = Donousa G = Kythira H = Ierapetra I = Tripiti. The two diving clubs where the project was conducted under supervision of the scientists are based in Lygaria and Agios Nikolaos (A, B). Numbers refer to dives or snorkel trips.
Figure 3 from: Just A, Gourvil J, Millet J, Boullet V, Milon T, Mandon I, Dutrève B (2015) SIFlore, a dataset of geographical distribution of vascular plants covering five centuries of knowledge in France: Results of a collaborative project coordinated by the Federation of the National Botanical Conservatories. PhytoKeys 56: 47-60. https://doi.org/10.3897/phytokeys.56.5723
Figure 3 - Density of cells by richness of observed species: looking at the distribution within the dataset, it appears that cells with less than 250 distinct species recorded are over-represented.
Figure 4 from: Just A, Gourvil J, Millet J, Boullet V, Milon T, Mandon I, Dutrève B (2015) SIFlore, a dataset of geographical distribution of vascular plants covering five centuries of knowledge in France: Results of a collaborative project coordinated by the Federation of the National Botanical Conservatories. PhytoKeys 56: 47-60. https://doi.org/10.3897/phytokeys.56.5723
Figure 4 - Dataset completeness for Metropolitan France according to the Jackknife 1 estimator (data from 1990 to 2013). The number of records in each cell was used as an estimator of the sampling effort. The ratio between the observed and estimated richness of species measures the completeness of inventory in each surveyed cell (Vallet et al. 2012).
Figure 1 from: Wesener T, Voigtländer K, Decker P, Oeyen JF, Spelda J, Lindner N (2015) First results of the German Barcode of Life (GBOL) – Myriapoda project: Cryptic lineages in German Stenotaenia linearis (Koch, 1835) (Chilopoda, Geophilomorpha). In: Tuf IH, Tajovský K (Eds) Proceedings of the 16th International Congress of Myriapodology, Olomouc, Czech Republic. ZooKeys 510: 15-29. https://doi.org/10.3897/zookeys.510.8852
Figure 1 - Maximum likelihood tree, 1000 bootstrap replicates. L1–L3 = Stenotaenia linearis lineages 1–3; NRW = North Rhine-Westphalia; Baden-W = Baden-Württemberg. Stenotaenia 'sorrentina' comes from GenBank and might refer to Stenotaenia forficularis. For exact locality data, see Table 1.
Figure 3 from: Wesener T, Voigtländer K, Decker P, Oeyen JF, Spelda J, Lindner N (2015) First results of the German Barcode of Life (GBOL) – Myriapoda project: Cryptic lineages in German Stenotaenia linearis (Koch, 1835) (Chilopoda, Geophilomorpha). In: Tuf IH, Tajovský K (Eds) Proceedings of the 16th International Congress of Myriapodology, Olomouc, Czech Republic. ZooKeys 510: 15-29. https://doi.org/10.3897/zookeys.510.8852
Figure 3 - Map of Stenotaenia linearis samples studied during GBOL (large dots), as well as other Stenotaenia linearis records from Edaphobase, the ZSM and ZFMK collection (small dots, status 10.2014). Yellow = Stenotaenia linearis L1; Blue = Stenotaenia linearis L2; Green = Stenotaenia linearis L3. (A) Stenotaenia linearis in the field, photo: J. Spelda, specimen from Stuttgart-Hofen, Zuckerberg.
Figure 2 from: Wesener T, Voigtländer K, Decker P, Oeyen JF, Spelda J, Lindner N (2015) First results of the German Barcode of Life (GBOL) – Myriapoda project: Cryptic lineages in German Stenotaenia linearis (Koch, 1835) (Chilopoda, Geophilomorpha). In: Tuf IH, Tajovský K (Eds) Proceedings of the 16th International Congress of Myriapodology, Olomouc, Czech Republic. ZooKeys 510: 15-29. https://doi.org/10.3897/zookeys.510.8852
Figure 2 - Frequency distribution of pairwise intraspecific (blue) and interspecific (red) distances. Blue circle = intraspecific distances of Geophilus alpinus and among Stenotaenia linearis L3; Red circle = interspecific distances and distances between Stenotaenia linearis lineages. Basic table see Suppl. material 1.
Figure 4 from: Pérez-Luque AJ, Zamora R, Bonet FJ, Pérez-Pérez R (2015) Dataset of MIGRAME Project (Global Change, Altitudinal Range Shift and Colonization of Degraded Habitats in Mediterranean Mountains). PhytoKeys 56: 61-81. https://doi.org/10.3897/phytokeys.56.5482
Figure 4 - Diagram of integration of the dataset within Information System of Sierra Nevada Global Change Observatory (http://obsnev.es/linaria.html). Field data were recorded with Smartphone devices (see Pérez-Pérez et al. 2013). After a validation process (see Quality Control section) the occurrence and measurement data were accommodated to Darwin Core Archive and integrated into GBIF.
Figure 3 from: Pérez-Luque AJ, Zamora R, Bonet FJ, Pérez-Pérez R (2015) Dataset of MIGRAME Project (Global Change, Altitudinal Range Shift and Colonization of Degraded Habitats in Mediterranean Mountains). PhytoKeys 56: 61-81. https://doi.org/10.3897/phytokeys.56.5482
Figure 3 - Sampling Design. a Altitudinal migration hypothesis. At each study site, from the forest edge to treeline ecotone, we sampled each 25 m of elevation b Colonization of marginal habitat hypothesis. Transects were located on three habitat types: Forests (brown circles), Forest Edges (red squares) and Inside Marginal Habitats (blue triangles).
Figure 2 from: Pérez-Luque AJ, Zamora R, Bonet FJ, Pérez-Pérez R (2015) Dataset of MIGRAME Project (Global Change, Altitudinal Range Shift and Colonization of Degraded Habitats in Mediterranean Mountains). PhytoKeys 56: 61-81. https://doi.org/10.3897/phytokeys.56.5482
Figure 2 - Distribution of Quercus pyrenaica forests in Iberian Peninsula (a). Sierra Nevada harbours eight populations of Quercus pyrenaica clustered into three groups (different colours). We selected two study sites: Robledal de Cañar (c) and Robledal San Juan (d). Colour Orthophotography of 2009 from Regional Ministry of the Environment, Regional Government of Andalusia.
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.