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FIGURE 14 in A taxonomic revision of the spider genus Pseudopoda Jäger, 2000 (Araneae: Sparassidae) from East, South and Southeast Asia
FIGURE 14. Pseudopoda apiculiformis Zhang, Jäger & Liu, spec. nov., holotype, male: A–C Left male palp (A. prolateral; B. ventral; C. retrolateral). Scale bars: A–C: 0.5 mm.
FIGURE 11 in A taxonomic revision of the spider genus Pseudopoda Jäger, 2000 (Araneae: Sparassidae) from East, South and Southeast Asia
FIGURE 11. Pseudopoda amphitropa Zhang, Jäger & Liu, spec. nov., A–B Female habitus (A. dorsal; B. ventral). Scale bars: A–B: 2 mm.
FIGURE 5 in A taxonomic revision of the spider genus Pseudopoda Jäger, 2000 (Araneae: Sparassidae) from East, South and Southeast Asia
FIGURE 5. Pseudopoda acutiformis Zhang, Jäger & Liu, spec. nov., A–B Male habitus (A. dorsal; B. ventral). Scale bars: A–B: 2 mm.
FIGURE 4 in A taxonomic revision of the spider genus Pseudopoda Jäger, 2000 (Araneae: Sparassidae) from East, South and Southeast Asia
FIGURE 4. Pseudopoda acutiformis Zhang, Jäger & Liu, spec. nov., holotype, male: A–C Left male palp (A. prolateral; B. ventral; C. retrolateral). Scale bars: A–C: 0.5 mm.
FIGURE 13 in A taxonomic revision of the spider genus Pseudopoda Jäger, 2000 (Araneae: Sparassidae) from East, South and Southeast Asia
FIGURE 13. Pseudopoda anfracta Zhang, Jäger & Liu, spec. nov., A–B Female habitus (A. dorsal; B. ventral). Scale bars: A–B: 2 mm.
FIGURE 18 in A taxonomic revision of the spider genus Pseudopoda Jäger, 2000 (Araneae: Sparassidae) from East, South and Southeast Asia
FIGURE 18. Pseudopoda arta Zhang, Jäger & Liu, spec. nov., holotype, female: A. Epigyne, ventral; B. Schematic course of IDS, dorsal; C. Vulva, dorsal. Scale bars: A–C: 0.5 mm.
FIGURE 10 in A taxonomic revision of the spider genus Pseudopoda Jäger, 2000 (Araneae: Sparassidae) from East, South and Southeast Asia
FIGURE 10. Pseudopoda amphitropa Zhang, Jäger & Liu, spec. nov., holotype, female: A. Epigyne, ventral; B. Schematic course of IDS, dorsal; C. Vulva, dorsal. Scale bars: A–C: 0.5 mm.
Fig. 12 in A review of the Afrotropical genus Hermannomyia Oldroyd, 1980, with the description of a new species from East Africa (Diptera: Asilidae: Stenopogoninae)
Fig. 12. The distribution of Hermannomyia species in Africa: H. engeli (circles), H. oldroydi (squares), H. ukasi (triangle).
Fig. 11 in A review of the Afrotropical genus Hermannomyia Oldroyd, 1980, with the description of a new species from East Africa (Diptera: Asilidae: Stenopogoninae)
Fig. 11. The Malaise trap set at the foot of Ukasi Hill, where the type series of Hermannomyia ukasi sp. n. was collected. (Photo: R. Copeland)
High-resolution (5 m) surface water persistence map for 2021 in East-Africa
<p>Raster surface water image highlighting the percentage of time in 2021 that there was water at a certain pixel in East Africa. </p> <p>Script which classifies individual countries: <a href="https://code.earthengine.google.com/3f508773522979dfa62a75bda7750b5f?noload=true">https://code.earthengine.google.com/3f508773522979dfa62a75bda7750b5f?noload=true</a></p> <p>Script which combines the individual maps and filters the end-result: <a href="https://code.earthengine.google.com/ed8ee1bbade0b51f3759565b30da37ab?noload=true">https://code.earthengine.google.com/ed8ee1bbade0b51f3759565b30da37ab?noload=true</a></p> <p> </p>
MAP 5 in A taxonomic revision of the spider genus Pseudopoda Jäger, 2000 (Araneae: Sparassidae) from East, South and Southeast Asia
MAP 5. Distribution of Pseudopoda species in Southwest-China (Yunnan Province in Map 4): 2. P. acutiformis spec. nov.; 7. P. apiculiformis spec. nov.; 8. P. applanata spec. nov.; 12. P. bacilliformis spec. nov.; 14. P. bazhongensis spec. nov.; 15. P. beibeiensis spec. nov.; 23. P. chishuiensis spec. nov.; 25. P. coenobium; 29. P. confusa; 30. P. conica spec. nov.; 33. P. curva spec. nov.; 39. P. digitaliformis spec. nov.; 43. P. exigua; 48. P. flexa spec. nov.; 57. P. jiangi spec. nov.; 64. P. longcanggouensis spec. nov.; 79. P. nayongensis spec. nov.; 88. P. qingxiensis spec. nov.; 90. P. rivicola; 99. P. spiralis spec. nov.; 103. P. taipingensis spec. nov.; 109. P. virgata; 111. P. wenchuanensis spec. nov.; 114. P. yangensis spec. nov.; 118. P. yingjingensis spec. nov.
MAP 4 in A taxonomic revision of the spider genus Pseudopoda Jäger, 2000 (Araneae: Sparassidae) from East, South and Southeast Asia
MAP 4. Distribution of Pseudopoda species in China (Yunnan Province): 5. P. amphitropa spec. nov.; 10. P. auricularis spec. nov.; 13. P. baoshanensis spec. nov.; 18. P. cangschana; 19. P. caoi spec. nov.; 24. P. chuxiongensis spec. nov.; 26. P. colossa spec. nov.; 29. P. confusa; 31. P. contentio; 32. P. contraria; 34. P. daguanensis spec. nov.; 36. P. datangensis spec. nov.; 37. P. daweiensis spec. nov.; 38. P. dengi spec. nov.; 40. P. digitata; 51. P. grandis spec. nov.; 54. P. huanglianensis spec. nov.; 59. P. kavanaughi spec. nov.; 60. P. kongdangensis spec. nov.; 61. P. langyaensis spec. nov.; 62. P. liui spec. nov.; 63. P. longa spec. nov.; 65. P. longiuscula spec. nov.; 68. P. luechunensis spec. nov.; 69. P. mamillaris spec. nov.; 72. P. mengsongensis spec. nov.; 74. P. mojiangensis spec. nov.; 75. P. namkhan; 80. P. nematodes spec. nov.; 81. P. nujiangensis spec. nov.; 82. P. olivea spec. nov.; 83. P. oliviformis spec. nov.; 86. P. parvipunctata; 89. P. rhopalocera; 90. P. rivicola; 91. P. rufosulphurea; 96. P. songi; 98. P. spiculata; 104. P. taoi spec. nov.; 108. P. trinacriformis spec. nov.; 112. P. wui spec. nov.; 113. P. wulaoensis spec. nov.; 119. P. yunfengensis spec. nov.; 120. P. zhaoae spec. nov.; 122. P. zuoi spec. nov.
MAP 6 in A taxonomic revision of the spider genus Pseudopoda Jäger, 2000 (Araneae: Sparassidae) from East, South and Southeast Asia
MAP 6. Distribution of Pseudopoda species in Central and Southeast China: 3. P. aliena spec. nov.; 4. P. allantoides spec. nov.; 35. P. daiyunensis spec. nov.; 42. P. drepanoides spec. nov.; 44. P. exiguoides; 45. P. explanata spec. nov.; 46. P. falcata spec. nov.; 49. P. foliiculiaris spec. nov.; 50. P. gracilenta spec. nov.; 53. P. huangensis spec. nov.; 55. P. hupingensis spec. nov.; 56. P. imparilis spec. nov.; 58. P. jiugongensis spec. nov.; 66. P. longtanensis spec. nov.; 67. P. longxiensis spec. nov.; 77. P. nankunensis spec. nov.; 78. P. nanlingensis spec. nov.; 84. P. pantianensis spec. nov.; 85. P. papilionacea spec. nov.; 93. P. sangzhiensis spec. nov.; 95. P. shimenensis spec. nov.; 100. P. strombuliformis spec. nov.; 102. P. subtilis spec. nov.; 105. P. taoyuanensis spec. nov.; 106. P. tianpingensis spec. nov.; 115. P. yangmingensis spec. nov.; 116. P. yangtaiensis spec. nov.; 117. P. yilanensis spec. nov.
Dataset Graph 6: Stagings of Heiner Müller's Plays in Germany (East and West).
<p>Dataset for Graph 6. Data collected based on Ludwig, Janine. Heiner Müller, Ikone West: Das dramatische Werk Heiner Müllers in der Bundesrepublik; Rezeption und Wirkung. Frankfurt am Main: Lang, 2009, 53–4.</p> <p>Graph 6 shows the number of stagings of Heiner Müller’s plays in East and West Germany from 1957-1990.</p>
Resource availability and capacity to implement multi-stranded cholera interventions in the north-east region of Nigeria
<p>Limited healthcare facility (HCF) resources and capacity to implement multi-stranded cholera interventions ('water, sanitation, and hygiene (WASH)’, ‘surveillance’, ‘case management’, and ‘community engagement’) can hinder the actualisation of the global strategic roadmap goals for cholera control, especially in settings made fragile by armed conflicts, such as the north-east region of Nigeria. Therefore, we aimed to assess HCF resource availability and capacity to implement these cholera interventions in Adamawa and Bauchi States in Nigeria, as well as assess their coordination in both states and Abuja, where national coordination of cholera is based.<br> We conducted a cross-sectional survey using a face-to-face structured questionnaire to collect data on multi-stranded cholera interventions and their respective indicators in HCFs. We generated scores to describe the resource availability of each cholera intervention and categorised them as: 0-50 (low), 51-70 (moderate), 71-90 (high), and over 90 (excellent). Further, we defined an HCF with a high capacity to implement a cholera intervention as one with a score equal to or above the average intervention score. </p>
A multispectral UAV Imagery dataset of wheat, soybean, and barley crops in East Kazakhstan
<p>This study introduces a dataset of crop imagery captured during the 2022 growing season in the Eastern Kazakhstan region. The images were acquired using a multispectral camera mounted on an unmanned aerial vehicle (DJI Phantom 4). The agricultural land, encompassing 27 hectares and cultivated with wheat, barley, and soybean, was subjected to five aerial multispectral photography sessions throughout the growing season. This facilitated thorough monitoring of the most important phenological stages of crop development in the experimental design, which consisted of 27 plots, each covering one hectare. The collected imagery underwent enhancement and expansion, integrating a sixth band that embodies the normalized difference vegetation index (NDVI) values, in conjunction with the original five multispectral bands (Red, Green, Blue, Infrared, and Near Infrared). This amplification enables a more effective evaluation of vegetation health and growth, rendering the enriched dataset a valuable resource for the progression and validation of crop monitoring and yield prediction models, as well as for the exploration of precision agriculture methodologies.</p>
A multispectral UAV Imagery dataset of wheat, soybean, and barley crops in East Kazakhstan
<p>This study introduces a dataset of crop imagery captured during the 2022 growing season in the Eastern Kazakhstan region. The images were acquired using a multispectral camera mounted on an unmanned aerial vehicle (DJI Phantom 4). The agricultural land, encompassing 27 hectares and cultivated with wheat, barley, and soybean, was subjected to five aerial multispectral photography sessions throughout the growing season. This facilitated thorough monitoring of the most important phenological stages of crop development in the experimental design, which consisted of 27 plots, each covering one hectare. The collected imagery underwent enhancement and expansion, integrating a sixth band that embodies the normalized difference vegetation index (NDVI) values, in conjunction with the original five multispectral bands (Blue, Green, Red, Red Edge and Near Infrared Red). This amplification enables a more effective evaluation of vegetation health and growth, rendering the enriched dataset a valuable resource for the progression and validation of crop monitoring and yield prediction models, as well as for the exploration of precision agriculture methodologies.</p>
A multispectral UAV Imagery dataset of wheat, soybean, and barley crops in East Kazakhstan
<p>This study introduces a dataset of crop imagery captured during the 2022 growing season in the Eastern Kazakhstan region. The images were acquired using a multispectral camera mounted on an unmanned aerial vehicle (DJI Phantom 4). The agricultural land, encompassing 27 hectares and cultivated with wheat, barley, and soybean, was subjected to five aerial multispectral photography sessions throughout the growing season. This facilitated thorough monitoring of the most important phenological stages of crop development in the experimental design, which consisted of 27 plots, each covering one hectare. The collected imagery underwent enhancement and expansion, integrating a sixth band that embodies the normalized difference vegetation index (NDVI) values, in conjunction with the original five multispectral bands (Blue, Green, Red, Red Edge and Near Infrared Red). This amplification enables a more effective evaluation of vegetation health and growth, rendering the enriched dataset a valuable resource for the progression and validation of crop monitoring and yield prediction models, as well as for the exploration of precision agriculture methodologies.</p>
Dataset - "Ice core evidence for a 20th century increase in surface mass balance in coastal Dronning Maud Land, East Antarctica"
<p>We provide in this dataset the isotopic and ionic records from a 120 m-long ice core drilled at the summit of Derwael ice rise (70°14'44.88'' S, 26°20'5.64'' E) situated in coastal Dronning Maud Land, East Antarctica. Ions concentrations (Na<sup>+</sup>, MSA, Cl<sup>-</sup>, SO<sub>4</sub><sup>2-</sup> and NO<sub>3</sub><sup>-</sup>) and water stable isotopes (δ<sup>18</sup>O, δD and d-excess) are presented for the top 103 meters (corresponding to 1815 and the Tambora eruption) with a continuous record for the water stable isotopes and discontinuous sections for ions concentrations. A complementary database “Annual layer thicknesses and age-depth (oldest estimate) of Derwael Ice Rise (IC12), Dronning Maud Land, East Antarctica” with age model and annual layer thickness is available at https://doi.org/10.1594/PANGAEA.857574 and the companion paper is Philippe et al., 2016 (“Ice core evidence for a 20th century increase in surface mass balance in coastal Dronning Maud Land, East Antarctica”, https://doi.org/10.5194/tc-10-2501-2016).</p>
FIG. 8 in First report of diversity of Cyanobacteria of Broknes Peninsula of Larsemann Hills, East Antarctica
FIG. 8. — Cyanoprokaryotes of Broknes Peninsula. A, Chroococcus minutus (Kütz.) Nägeli; B, Gloeocapsa biformis Ercegovic; C, Cyanosarcina burmensis Skuja, D, Oscillatoria anguina (Bory) Gomont; E, Oscillatoria curviceps C.Agardh ex Gomont; F, Oscillatoria limosa C.Agardh ex Gomont; G, Planktothrix rubescens (DC. ex Gomont) Anagn. & Komárek; H, Lyngbya confervoides C.Agardh ex Gomont; I, Phormidium ambiguum Gomont; J, Phormidium bekesiense (I.Kiss) K.Kiss,; K, Oscillatoria jenensis G.Schmid; L, Phormidium subfuscum Kütz. ex Gomont; M, Oscillatoria tenuis C.Agardh ex Gomont; N, Aulosira fritschii Bharadwaja; O, Coleospermum goeppertianum (goppertianum) Kirch. ex Frank; P, Stigonema mesentericum Geitler. Scale bars: A, N, O, 30 µm; B, C, F, I, L, 10 µm; D, E, G, H, J, K, M, P, 20 µm.
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.