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Figs 30–34. 30–31 in Identity of species-group taxa of the Western Palaearctic Clytrini (Coleoptera: Chrysomelidae) described by Maurice Pic and Louis Kocher
Figs 30–34. 30–31 – Tituboea femoralis Medvedev, 1962: 30 – aedeagus (dorsal, lateral and ventral views); 31 right male protarsus. 32–34 – Tituboea laticollis (Olivier, 1808): 32 – aedeagus (dorsal, lateral and ventral views); 33 – right male protarsus; 34 – spermatheca. Scale bars: 1 mm for Figs 31–33; 0.5 mm for Figs 30 and 34.
Figs 51–56. 51–53 in Identity of species-group taxa of the Western Palaearctic Clytrini (Coleoptera: Chrysomelidae) described by Maurice Pic and Louis Kocher
Figs 51–56. 51–53 – Tituboea mecheriensis Pic, 1895: 51 – aedeagus (dorsal and lateral views); 52 –spermatheca; 53 – right male protarsus. 54–56 – Tituboea octopunctata (Fabricius, 1787): 54 – aedeagus (dorsal and lateral views); 55 – spermatheca; 56 – right male protarsus. Scale bars: 1 mm for Figs 53, 54 and 56; 0.5 mm for Figs 51, 52 and 55.
Figs 40–45. 40–42 in Identity of species-group taxa of the Western Palaearctic Clytrini (Coleoptera: Chrysomelidae) described by Maurice Pic and Louis Kocher
Figs 40–45. 40–42 – Tituboea lacordairei (Pic, 1929): 40 – aedeagus (dorsal, lateral and ventral views); 41 – spermatheca; 42 – right male protarsus. 43–45 – Tituboea ogloblini (Medvedev, 1962): 43 – aedeagus (dorsal, lateral and ventral views); 44 – spermatheca; 45 – right male protarsus. Scale bars: 1 mm for Figs 42 and 45; 0.5 mm for Figs 40 and 43, 0.25 mm for Figs 41 and 44.
Figs 208–213. Tituboea mecheriensis Pic, 1895 in Identity of species-group taxa of the Western Palaearctic Clytrini (Coleoptera: Chrysomelidae) described by Maurice Pic and Louis Kocher
Figs 208–213. Tituboea mecheriensis Pic, 1895: 208 – male (7.1 mm); 209 – head of male; 210 – female (5.9 mm); 211 – head of female. 212–213 – Syntype of Tituboea octopunctata var. mecheriensis Pic, 1895 (male, 7.1 mm): 212 – habitus; 213 – labels.
Multi-temporal Landslide Inventory for the Far-Western region of Nepal
<p>The Multi-Temporal Landslide Inventory for the Far-Western region of Nepal datasets comprises 26350 different landslide events digitize in form of polygons from Google Earth satellite imagery interpretation. In Google earth has been used for interpretation 93 different sources for 79 different time slices between 2002 and 2018. The maximum scale of interpretation used is 1:1000, meanwhile the scale of digitalization was constant between 1:800 and 1:2000, resulting in a final visualization scale of 1:1000. All landslides in the inventory have been classified between deep-seated and shallow types (attribute field "Depth") by visual interpretation which have been later corroborated with calculations of the elevation differences within the surface of rupture area of the landslides</p> <p>The dataset comprises 4 different shapefiles:</p> <ul> <li><strong>"LandslideInventory_FarWesternNepal_Pol.shp"</strong>: Shapefile with 26350 Polygon features that bound completely the “zone of depletion” and partially the “zone of accumulation” of each identified landslide. Including completely the surface of rupture and more or less partially the depositional zone of the landslides. Landslide</li> <li><strong>"LandslideInventory_FarWesternNepal_Points.shp"</strong>: Shapefile with 25639 Point features that approximately correspond with the center of the surface of rupture area, the point location within each landslide has ben extracted automatically with GIS tools using ALOS PALSAR (12.5 m) DEM. </li> <li><strong>"LandslideInventory_FarWesternNepal_Points_Dated1992_2018.shp"</strong>: Shapefile with 8778 Point features for landslides in the inventory that have been dated within the period 1992-2018 (attribute field "Year". The dating of the landslides has been perform automatically by an own new toolbox in ArcGIS that compare annual Landsat (4-5, 7 and 8), to find sudden vegetation changes within the areas of the digitized landsldies. The tool has an accuracy of 83% to detect annual dates of activation or reactivations of the inventoried landslides. </li> <li><strong>"LandslideInventory_FarWesternNepal_AOI.shp"</strong>: Shapefile with the Polygon boundary of the landslide inventory Area of Interpretation.</li> </ul> <p>All shapefiles are in a UTM projected coordinate system UTM44N (WGS84).</p> <p> </p> <p>This research was funded by the UK Natural Environment Research Council (NERC) and Department for International Development (DFID) as project NE/P000452/1 (LandslideEVO) under the Science for Humanitarian Emergencies and Resilience (SHEAR) program.</p> <p> </p>
Maps of interpolated paleotemperatures in Western Europe from MIS 14 to MIS 11
<p>To support the ecological model of the study Rodríguez et al. (2020, in review), five BIOCLIM variables (BIO1, BIO6, BIO10, BIO11) were computed from the Oscillayers dataset, for 11 subdivisions of the Marine Isotope Stages MIS 14 to MIS 11, as defined in (Rodríguez et al 2020, in review).<br> Oscillayers is a global‐scale and region‐specific BIOCLIM paleoclimatic datasets with high temporal resolution spanning the Plio‐Pleistocene, facilitating the study of climatic oscillations during the last 5.4 million years at high spatial (2.5 arc‐minutes) and temporal (10 kyr time periods) resolution (Gamisch, 2019).<br> BIOCLIM is a model designed for Species Distribution Modelling (SDM) that defines a set of 19 bioclimatic variables derived from monthly temperature and rainfall values in order to obtain biologically meaningful variables that are commonly used in ecology to model species or biome distributions (Booth et al., 2014; Nix, 1986).<br> The GIS computation was conducted using GRASS GIS map algebra (Shapiro & Westervelt, 1991) scripted via its Python API. The according Python scripts are attached to this dataset.</p>
Fig. 112. T2. A in The 'red-tailed' Lasioglossum (Dialictus) (Hymenoptera: Halictidae) of the western Nearctic
Fig. 112. T2. A. Lasioglossum (D.) petrellum (Cockerell, 1903), ♂, with weaker microsculpture and distinct punctures throughout. B. L. (D.) droegei Gibbs, 2009, ♂, with strong microsculpture and obscure punctures towards apical rim. Scale bars: 0.5 mm.
Fig. 115. Flagellomeres. A in The 'red-tailed' Lasioglossum (Dialictus) (Hymenoptera: Halictidae) of the western Nearctic
Fig. 115. Flagellomeres. A. Lasioglossum (D.) festinum sp. nov., ♂, long. B. L. (D.) imbriumbrae sp. nov., ♂, short. Scale bars: 1 mm. Arrows indicate relative lengths of F1 and F2.
Fig. 116 in The 'red-tailed' Lasioglossum (Dialictus) (Hymenoptera: Halictidae) of the western Nearctic
Fig. 116. Metasomal sterna, ♂. A. Lasioglossum (D.) zephyrus (Smith, 1853), with hair concentrated in apicolateral areas of S3–5. B. Typical red-tailed Lasioglossum (Dialictus), with hair evenly distributed and S5 straight. C. L. (D.) hudsoniellum (Cockerell, 1919), with S5 concave.
Fig. 107 in The 'red-tailed' Lasioglossum (Dialictus) (Hymenoptera: Halictidae) of the western Nearctic
Fig. 107. Pronotal angle (arrow and outline). A. Lasioglossum (D.) hudsoniellum (Cockerell, 1919), ♀, nearly 90 degrees. B. L. (D.) minckleyi sp. nov., ♀, obtuse. Scale bars: 0.5 mm.
Fig. 109 in The 'red-tailed' Lasioglossum (Dialictus) (Hymenoptera: Halictidae) of the western Nearctic
Fig. 109. Pronotal ridge (arrow). A. Lasioglossum (D.) kunzei (Cockerell, 1898), ♀, sharply carinate along full height of pronotum. B. L. (D.) eophilus (Ellis, 1914), ♀, absent. Scale bar: 0.5 mm.
Fig. 106. Ocellocular area. A in The 'red-tailed' Lasioglossum (Dialictus) (Hymenoptera: Halictidae) of the western Nearctic
Fig. 106. Ocellocular area. A. Lasioglossum (D.) clavicorne sp. nov., ♀, sparsely and distinctly punctate. B. L. (D.) clematisellum (Cockerell, 1904), ♀, densely punctate with punctures somewhat obscured by microsculpture. Scale bar: 0.25 mm.
Fig. 108. Mesepisternum. A in The 'red-tailed' Lasioglossum (Dialictus) (Hymenoptera: Halictidae) of the western Nearctic
Fig. 108. Mesepisternum. A. Lasioglossum (D.) eophilus (Ellis, 1914), ♀, entirely rugose. B. L. (D.) mesillense (Cockerell, 1898), ♀, ruguloso-punctate in dorsal half, smooth and distinctly punctate in ventral half. C. L. (D.) imbriumbrae sp. nov., ♀, entirely smooth and distinctly punctate. Scale bars: 0.5 mm.
Fig. 113. Clypeus. A in The 'red-tailed' Lasioglossum (Dialictus) (Hymenoptera: Halictidae) of the western Nearctic
Fig. 113. Clypeus. A. Lasioglossum (D.) miltolepoides sp. nov., ♂, sparsely punctate and entirely metallic. B. L. (D.) arenisaltans sp. nov., ♂, with dense punctures and yellow-orange apical rim. Scale bars: 0.5 mm.
Fig. 110. Mesoscutum punctures. A in The 'red-tailed' Lasioglossum (Dialictus) (Hymenoptera: Halictidae) of the western Nearctic
Fig. 110. Mesoscutum punctures. A. Lasioglossum (D.) vierecki (Crawford, 1904), ♂, all interspaces less than 1 puncture diameter. B. L. (D.) arenisaltans sp. nov., ♂, numerous interspaces of 1 puncture diameter or more. Scale bars: 0.5 mm.
Fig. 114. T1–3. A in The 'red-tailed' Lasioglossum (Dialictus) (Hymenoptera: Halictidae) of the western Nearctic
Fig. 114. T1–3. A. Lasioglossum (D.) cactorum sp. nov., ♂, convex with rims strongly downcurved (arrows). B. L. (D.) clematisellum (Cockerell, 1904), ♂, flat. Scale bars: 1 mm.
Fig. 105 in The 'red-tailed' Lasioglossum (Dialictus) (Hymenoptera: Halictidae) of the western Nearctic
Fig. 105. Dark spiracular spots (arrows) on the metasoma. A. Lasioglossum (D.) pictum (Crawford, 1902), ♀, present on T2–4. B. L. (D.) meteorum sp. nov., ♀, present on T3–4 only. Scale bars: 1 mm.
Fig. 100. Forewings. A in The 'red-tailed' Lasioglossum (Dialictus) (Hymenoptera: Halictidae) of the western Nearctic
Fig. 100. Forewings. A. Lasioglossum (D.) pallidellum (Ellis, 1914), ♂, with white hair, pale veins, and hyaline membrane. B. L. (D.) decorum sp. nov., ♀, with dark hair, dark veins, and lightly infuscated membrane. Scale bars: 1 mm.
Fig. 90. Male genitalia. A in The 'red-tailed' Lasioglossum (Dialictus) (Hymenoptera: Halictidae) of the western Nearctic
Fig. 90. Male genitalia. A. Lasioglossum (D.) arenisaltans sp. nov. B. L. (D.) clastipedion sp. nov. C. L. (D.) clematisellum (Cockerell, 1904). D. L. (D.) hudsoniellum (Cockerell, 1919). E. L. (D.) julipile sp. nov. F. L. (D.) lilianae sp. nov. G. L. (D.) mesillense (Cockerell, 1898). H. L. (D.) meteorum sp. nov. I. L. (D.) miltolepoides sp. nov. J. L. (D.) minckleyi sp. nov. K. L. (D.) pallidellum (Ellis, 1914). L. L. (D.) pictum (Crawford, 1902). M. L. (D.) rufornatum sp. nov. N. L. (D.) spivakae sp. nov. O. L. (D.) testaceum (Robertson, 1897). P. L. (D.) vierecki (Crawford, 1904). Q. L. (D.) zephyrus (Smith, 1853). Genitalia are illustrated in dorsal view and positioned such that the gonostylus is parallel to the plane of vision. Retrorse lobes are also illustrated separately to the bottom left of each figure in lateral view, positioned parallel to the plane of vision.
Fig. 101. Supraclypeal area. A in The 'red-tailed' Lasioglossum (Dialictus) (Hymenoptera: Halictidae) of the western Nearctic
Fig. 101. Supraclypeal area. A. Lasioglossum (D.) arenisaltans sp. nov., ♀, mostly tessellate. B. L. (D.) mesillense (Cockerell, 1898), ♀, mostly shiny. Scale bar: 0.25 mm.
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.