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FIGURE 2. Pseudonematophila ovalis n. gen. n. comb. from Podocnemis lewyana, Colombia. a. Specimen adult, ventral view. Scale 1 in Digeneans in Trachemys callirrostris callirostris and Podocnemis lewyana (Testudinata) from the Magdalena River, Colombia: description of Pseudonematophila n. gen. and amendment of Nematophila Travassos, 1934 (Cladorchiidae: Schizamphistominae)
FIGURE 2. Pseudonematophila ovalis n. gen. n. comb. from Podocnemis lewyana, Colombia. a. Specimen adult, ventral view. Scale 1 mm. b. Details of genital sucker and genitalia with the cirrus everted, sagital section. Scale 0.25 mm. c. Details of genitalia and tegumentary papillae. Scale 0.25 mm.
FIGURE 7. Typhlotanais pereosetulosa, female. Holotype. A, cheliped. B, pereopod 1. C, pereopod 2. D, pereopod 3. E, Pereopod 4. F, pereopod 5. G, pereopod 6. Scale bar 0.1 in The tanaidacean assemblage from the Central Pacific Manganese Nodule Province. II. The genera Stenotanais and Typhlotanais (Crustacea)
FIGURE 7. Typhlotanais pereosetulosa, female. Holotype. A, cheliped. B, pereopod 1. C, pereopod 2. D, pereopod 3. E, Pereopod 4. F, pereopod 5. G, pereopod 6. Scale bar 0.1 mm.
FIGURE 4. Typhlotanais froufesae, female. Holotype. A, cheliped. B, pereopod 1. C, pereopod 2. D, pereopod 3.E, Pereopod 4. F, pereopod 5. G, pereopod 6. Scale bar 0.1 in The tanaidacean assemblage from the Central Pacific Manganese Nodule Province. II. The genera Stenotanais and Typhlotanais (Crustacea)
FIGURE 4. Typhlotanais froufesae, female. Holotype. A, cheliped. B, pereopod 1. C, pereopod 2. D, pereopod 3.E, Pereopod 4. F, pereopod 5. G, pereopod 6. Scale bar 0.1 mm.
FIGURE 2. Stenotanais arenasi, male. Holotype. A, cheliped. B, pereopod 1. C, pereopod 2. D, pereopod 3.E, Pereopod 4. F, pereopod 5. G, pereopod 6. Scale bar 0.1 in The tanaidacean assemblage from the Central Pacific Manganese Nodule Province. II. The genera Stenotanais and Typhlotanais (Crustacea)
FIGURE 2. Stenotanais arenasi, male. Holotype. A, cheliped. B, pereopod 1. C, pereopod 2. D, pereopod 3.E, Pereopod 4. F, pereopod 5. G, pereopod 6. Scale bar 0.1 mm.
FIGURE 2. Ossicles from, a. dorsal body wall, b. ventral body wall, c. tentacles, d. gonad. Scale 200 in Benthodytes violeta, a new species of a deep-sea holothuroid (Elasipodida: Psychropotidae) from Mar del Plata Canyon (south-western Atlantic Ocean)
FIGURE 2. Ossicles from, a. dorsal body wall, b. ventral body wall, c. tentacles, d. gonad. Scale 200 µm•
City scale particulate matter monitoring using LoRaWAN based air quality IoT devices
<p>Air Quality (AQ) is a very topical issue for many cities and has a direct impact on citizen health. The AQ of a large UK city is being investigated using low-cost Particulate Matter (PM) sensors, and the results obtained by these sensors have been compared with government operated AQ stations. In the first pilot deployment six AQ Internet of Things (IoT) devices have been designed and built, each with four different low-cost PM sensors, and they have been deployed at two locations within the city. These devices are equipped with LoRaWAN wireless network transceivers to test city scale Low-Power Wide Area Network (LPWAN) coverage. The study concludes that i) the physical device developed can operate at a city scale ii) some low-cost PM sensors are viable for monitoring AQ and for detecting PM trends iii) LoRaWAN is suitable for city scale sensor coverage where connectivity is an issue. Based on the findings from this first pilot project a larger LoRaWAN enabled AQ sensor network is being deployed across the city of Southampton in the UK.</p>
FIGURE 9 in Systematics of reptile-associated scale mites of the genus Pterygosoma (Acariformes: Pterygosomatidae) derived from external morphology
FIGURE 9. Strict consensus tree under implied weighting (K=11–17) with host and distribution data. New species groups are made in bold. Abbreviations of lizard generic names: A, Agama; Ac, Acanthocercus; B, Broadleysaurus; C, Calotes; D, Draco; G, Gerrhosaurus; L, Laudakia; M, Matobosaurus; P, Paralaudakia; Ph, Phrynocephalus; Pm, Psammophilus; Ps, Pseudotrapelus; T, Trapelus.
FIGURE 7 in Systematics of reptile-associated scale mites of the genus Pterygosoma (Acariformes: Pterygosomatidae) derived from external morphology
FIGURE 7. Strict consensus of 3 most parsimonious trees found under implied weighting (K=11). Numbers above branches are common synapomorphies (character numbers refer to Appendix 1). Abbreviations (refer to species established by Jack in 1962b and Fajfer and González-Acuña in 2013): lig, ligare; ger, gerrhosauri; in, inermis; arm, armatum; mel, melanum; hir, hirsti; tra, transvaalense; neu, neumanni; fim, fimbriata.
FIGURE 6 in Systematics of reptile-associated scale mites of the genus Pterygosoma (Acariformes: Pterygosomatidae) derived from external morphology
FIGURE 6. Strict consensus of 13802 equally maximum parsimonious trees found for unordered and unweighted data set using PRAP2 implemented in PAUP 4.0b.10 for Windows: ratchet analysis (1000 interactions with other options by default) three length 593, CI for phylogenetically informative characters 0,435; RI of 0,676. Numbers above nodes are Bremer indices.
FIGURE 5. Tarsi I–IV in Systematics of reptile-associated scale mites of the genus Pterygosoma (Acariformes: Pterygosomatidae) derived from external morphology
FIGURE 5. Tarsi I–IV of Pterygosoma (group A according to Jack, 1964) in dorsal (left) and ventral (right) view. A, in female; B, in protonymph; C, in larva.
FIGURE 3 in Systematics of reptile-associated scale mites of the genus Pterygosoma (Acariformes: Pterygosomatidae) derived from external morphology
FIGURE 3. Gnathosoma of Pterygosoma aqabensis Fajfer and Melnikov, 2014. A, dorsal view; B, ventral view. Palpal tarsi of: C, Pterygosoma persicus Hirst, 1926; D, Gerrhosaurobia bicolor (Lawrence, 1936); E, Pterygosoma levissima Fajfer and González-Acuña, 2013.
FIGURE 2 in Systematics of reptile-associated scale mites of the genus Pterygosoma (Acariformes: Pterygosomatidae) derived from external morphology
FIGURE 2. Male of Pterygosoma sp., general scheme. A, dorsal view; B, ventral view. Abbreviations: ae, aedeagus; ant, anterior setae; c.fs, coxal fields; g.c, genital cone; dm, dorso-median setae; vm, ventro-median setae; perit, peritreme; post.-lat, postero-lateral setae; sca, subcapitulum.
FIGURE 4. Fixed cheliceral digit. A in Systematics of reptile-associated scale mites of the genus Pterygosoma (Acariformes: Pterygosomatidae) derived from external morphology
FIGURE 4. Fixed cheliceral digit. A, spiniform; B, elongated; C, branched; D, rounded. Hypostomal apex. E, rounded; F, triangular; G, flattened; H, with depression; I, with teeth.
FIGURE 8 in Systematics of reptile-associated scale mites of the genus Pterygosoma (Acariformes: Pterygosomatidae) derived from external morphology
FIGURE 8. One of the 2 optimal cophylogenetic scenarios between the pterygosomatid genera and their hosts' tree from Jane 4.0 (2 cospeciation, 4 duplication, 5 duplication with host switches, 1 loss, and 0 failure to diverge events; total cost= 15). Black and grey lines represent hosts and their mites, respectively; the numbers below the nodes are support values (i.e. the percentages of solutions in which a specific event of the parasite trees is mapped to a given location on the host tree).
FIGURE 1. Pterygosoma agamae Peters, 1849, general scheme. A in Systematics of reptile-associated scale mites of the genus Pterygosoma (Acariformes: Pterygosomatidae) derived from external morphology
FIGURE 1. Pterygosoma agamae Peters, 1849, general scheme. A, dorsal view; B, ventral view. Abbreviations: perit, peritreme; ant, anterior setae; lat, lateral setae; post, posterior setae; per, peripheral setae; dm, dorso-median setae; vm, ventromedian setae; ps, pseudanal setae; g, genital setae; sca, subcapitulum; c.fs, coxal fields; Tr, trochanter; F, femur; G, genu; Ti, tibia; Ta, tarsus.
VBL-VA001: Lab-scale vibration analysis dataset
<p>This dataset is a collection of vibration data (x, y, z) from four machine conditions: normal, bearing fault, misalignment, and unbalance. There are 4000 files, each folder contains 1000 CSV files.</p> <p>Specification:</p> <ul> <li>Machine: Panasonic GP –129JXK</li> <li>Sensor: enDAQ LOG-0002-100G-DC-8GB-PC Shock & Vibration Sensor</li> <li>Length: 5 seconds per CSV file</li> <li>Sampling rate: 20 kHz.</li> </ul> <p>Repository for baseline methods: <a href="https://github.com/bagustris/vbl-va001">https://github.com/bagustris/vbl-va001</a>.</p> <p>Refer to our paper for detail: <a href="https://link.springer.com/article/10.1007/s42417-023-00959-9">https://link.springer.com/article/10.1007/s42417-023-00959-9</a></p> <p>The preprint is also available at ArXiv: <a href="https://arxiv.org/abs/2212.14732">https://arxiv.org/abs/2212.1473</a>.</p>
Spatial scale-dependent dilution effects of biodiversity on plant diseases in grasslands
<p>This study was conducted at the Gansu Gannan Grassland Ecosystem National Observation and Research Station of Lanzhou University (33°40'N, 101°52'E, 3540 m a.s.l.), which is located on the eastern edge of the Qinghai-Tibetan Plateau. </p>
Revisiting process versus product metrics: A large scale analysis
<p>Numerous methods can build predictive models from software data. However, what methods and conclusions should we endorse as we move from analytics in-the-small (dealing with a handful of projects) to analytics in-the-large (dealing with hundreds of projects)? To answer this question, we recheck prior small-scale results (about process versus product metrics for defect prediction and the granularity of metrics) using 722,471 commits from 700 Github projects. We find that some analytics in-the-small conclusions still hold when scaling up to analytics in-the-large. For example, like prior work, we see that process metrics are better predictors for defects than product metrics (best process/product-based learners respectively achieve recalls of 98%/44% and AUCs of 95%/54%, median values).</p> <p>That said, we warn that it is unwise to trust metric importance results from analytics in-the-small studies since those change dramatically when moving to analytics in-the-large. Also, when reasoning in-the-large about hundreds of projects, it is better to use predictions from multiple models (since single model predictions can become confused and exhibit a high variance).</p>
FIGURES – 7. SEM images of Craspedostauros laevissimus from different populations. 42. Close up of the central area externally, showing the weakly expanded central raphe endings and the cribrate areolae with usually four to five peripheral pores and up to one central pore (sample 13). 43. Close up of the central area internally, showing the narrow stauros located in a wider hyaline area, the central raphe endings with double helictoglossa, and the rounded to rectangular areolar openings internally (sample 13). 44. Close up of the apex, showing the bent distal raphe endings, cribrate areoale with up to six peripheral pores and up to two central pores (sample 13). 45. Close ups of both the valve exterior and interior (sample 11), showing the weakly expanded central raphe endings externally; the areolae near the raphe with usually four to five peripheral pores and one central pore; the central raphe endings with double helictoglossa and the rounded areolar openings internally. 46. Internal valve view, showing the narrow transverse rib of silica at the valve center (strauros) and the central raphe endings with double helictoglossa (sample 11). 47. Close up of the apex of the same valve internally, showing the rounded to square or rectangular areolar openings (sample 11). Scale bars = 5 μm (Fig. 46); 1 μm (Figs 42–45,47). in The genus Craspedostauros E.J.Cox (Bacillariophyta) on the coasts of Livingston Island, Maritime Antarctica
FIGURES – 7. SEM images of Craspedostauros laevissimus from different populations. 42. Close up of the central area externally, showing the weakly expanded central raphe endings and the cribrate areolae with usually four to five peripheral pores and up to one central pore (sample 13). 43. Close up of the central area internally, showing the narrow stauros located in a wider hyaline area, the central raphe endings with double helictoglossa, and the rounded to rectangular areolar openings internally (sample 13). 44. Close up of the apex, showing the bent distal raphe endings, cribrate areoale with up to six peripheral pores and up to two central pores (sample 13). 45. Close ups of both the valve exterior and interior (sample 11), showing the weakly expanded central raphe endings externally; the areolae near the raphe with usually four to five peripheral pores and one central pore; the central raphe endings with double helictoglossa and the rounded areolar openings internally. 46. Internal valve view, showing the narrow transverse rib of silica at the valve center (strauros) and the central raphe endings with double helictoglossa (sample 11). 47. Close up of the apex of the same valve internally, showing the rounded to square or rectangular areolar openings (sample 11). Scale bars = 5 μm (Fig. 46); 1 μm (Figs 42–45,47).
FIGURES – 8. LM images of Craspedostauros laevissimus and C. confusus sp. nov. 2–8. Craspedostauros laevissimus (sample 11). 9–18. Craspedostauros laevissimus (sample 13). 19–26. Craspedostauros confusus sp. nov. (type population, sample 14). 27. Craspedostauros laevissimus (enlarged view of Fig. 4, sample 11). 28. Craspedostauros confusus sp. nov. (enlarged view of Fig. 22, type specimen). Scale bars = 10 µm. in The genus Craspedostauros E.J.Cox (Bacillariophyta) on the coasts of Livingston Island, Maritime Antarctica
FIGURES – 8. LM images of Craspedostauros laevissimus and C. confusus sp. nov. 2–8. Craspedostauros laevissimus (sample 11). 9–18. Craspedostauros laevissimus (sample 13). 19–26. Craspedostauros confusus sp. nov. (type population, sample 14). 27. Craspedostauros laevissimus (enlarged view of Fig. 4, sample 11). 28. Craspedostauros confusus sp. nov. (enlarged view of Fig. 22, type specimen). Scale bars = 10 µm.
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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.