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FIG. 4 in Disentangling cryptic species in the Marasmius haematocephalus (Mont.) Fr. and M. siccus (Schwein.) Fr. species complexes (Agaricales, Basidiomycota)
FIG. 4. — Best-scored Maximum Likelihood tree (left side, TL = 0.054576) and 50 % majority-rule consensus tree (right side, TL = 4.954404) of Bayesian analyses built from multilocus (nrLSU and nrITS) analyses (DATASET 3) of the haemat_cp2a (Fig. 3). Black, thick stems indicate high support and gray, thick stems indicate weak to moderate support. Dark red shade indicates M. haematocephalus (Mont.) Fr., the orange shade indicates M. auranticapitatus J.S. Oliveira, sp. nov. and the pink shade indicates M. rubicundus (Singer) J.S. Oliveira, stat. nov.
Figure 4. Representative ion m in Odorants Differentiate Australian Rattus with Increased Complexity in Sympatry
Figure 4. Representative ion m/z 60 trace with post-run selected ion chromatograms for thiazolines and carboxylic acids from preputial gland extracts of (A) Rattus fuscipes assimilis (QMJM 19152); (B) R. fuscipes coracius QMJM 19100; (C) R. leucopus cooktownensis QMJM 19131; and (D) R. leucopus leucopus QMJM 19060. Numbers above peaks identify specific compounds: (1) 2-methylthiazoline, 10.56 min; (2) 2-ethylthiazoline, 16.04 min; (3) 2-isopropylthiazoline, 19.59 min; (4) 2-propylthiazoline, 22.49 min; (5) 2-sec-butylthiazoline (SBT), 25.89 min; (6) 2-isobutylthiazoline, 26.10 min; (7) 2-butylthiazoline, 29.85 min; (8) dodecanoic acid, 56.28 min; (9) tetradecanoic acid, 67.25 min; (10) pentadecanoic acid, 72.34 min; and (11) hexadecanoic acid, 77.50 min.
low Cerro Gordo; StL 2, Cerro Gordo sandstone; StL 3, between Cerro Gordo and Chunchullo; StL 4, Chunchullo sandstone; StL 5, bed set between Chunchullo and Tatacoa; StL 6, Tatacoa sandstone; StL 7, bed set below Cerbatana conglomerate; StL 8, Cerbatana conglomerate; StL 9, Monkey beds; StL 10, bed set above Monkey beds; StL 12, bed set above Fish bed; StL 14, bed set below La Venta red beds; StL 15, La Venta red beds; StL 16, bed set between La Venta red beds and El Cardón red beds; StL 17, El Cardón red beds; StL 18, San Francisco sandstone; StL 19, Polonia red beds; D, reconstruction of the head of Neodolodus colombianus based on the 3D model of the almost complete skull of the specimen VPPLT 1696. Abbreviations: Fm, Formation; St m, Stratigraphic meter. Reconstruction of N. colombianus made by Tatsuya Shimura. in New remains of Neotropical bunodont litopterns and the systematics of Megadolodinae (Mammalia: Litopterna)
low Cerro Gordo; StL 2, Cerro Gordo sandstone; StL 3, between Cerro Gordo and Chunchullo; StL 4, Chunchullo sandstone; StL 5, bed set between Chunchullo and Tatacoa; StL 6, Tatacoa sandstone; StL 7, bed set below Cerbatana conglomerate; StL 8, Cerbatana conglomerate; StL 9, Monkey beds; StL 10, bed set above Monkey beds; StL 12, bed set above Fish bed; StL 14, bed set below La Venta red beds; StL 15, La Venta red beds; StL 16, bed set between La Venta red beds and El Cardón red beds; StL 17, El Cardón red beds; StL 18, San Francisco sandstone; StL 19, Polonia red beds; D, reconstruction of the head of Neodolodus colombianus based on the 3D model of the almost complete skull of the specimen VPPLT 1696. Abbreviations: Fm, Formation; St m, Stratigraphic meter. Reconstruction of N. colombianus made by Tatsuya Shimura.
FIGURE 4 A in Systematic position and composition of Merodon nigritarsis and M. avidus groups (Diptera, Syrphidae) with a description of four new hoverfLies species
FIGURE 4 A) Merodon clunipes, male; body, B) Merodon clunipes, male; antennae, C) Merodon clunipes, male; epandrium, D) Merodon crassifemoris, male; head, E) Merodon fulcratus, male; head, F) Merodon fulcratus, male; hypandrium (lack of ctenidium marked with arrow). Scale: A) 2 mm, B–C), E–F) 0.5 mm, D 1 mm.
Fig. 4 in New Species Of Pachyrhynchus Germar, 1824 And M Acro Cyrtus H Eller, 1912 (C Oleop Tera: Curculionidae) From The Marinduque Island (Philippines) As A New Example Of Mimetic Species Pair
Fig. 4. Habitus of Macrocyrtus rukmaneae sp. n. (A – lateral view, B– dorsal view).
Figure 4 in Systematic list of Genus Megophrys Kuhl and van Hasselt, 1822 (Amphibia: Anura: Megophryidae) in Meghalaya, North-East India with a discussion on the distribution of M. wuliangshanensis Ye and Fei, 1995 in India
Figure 4. Ventral view of Megophrys oropedion
Figure 4 in Original specimens and type localities of early described polychaete species (Annelida) from Norway, with particular attention to species described by O.F. Müller and M. Sars
Figure 4. Michael Sars. Photography by P.M. Thomsen. Reproduced from Økland (1955).
Figs 3–4. M in The Nymphs Of Micreremus Brevipes (Acari: Oribatida) And Complementary Remarks On The Adult
Figs 3–4. M. brevipes protonymph (legs omitted): 3 = dorsal view, 4 = ventral view
Fig. 4 in D E A D W O O D A C C U M U L A T I O N I N D E C I D U O U S Dominated Forests
Fig. 4. Distribution of deadwood by site humidity.
Fig. 4 in G R A I N Y I E L D A N D I T S F O R M I N G Pa R A M E T E R S Variations Of Oat Cultivars
Fig. 4. Effect of grain size (2.2-2.0 mm) on oat grain yield.
Fig. 4 in The First Records Of The Common Pheasant, P H A S I A N U S C O L C H I C U S (Av E S: G A L L I F O R M E S: Phasianidae), And Its Group In South-Eastern Latvia
Fig. 4. Phasianus colchicus female, Ainavas, Kalkunes parish, Daugavpils district; 2015.04.06.
Fig. 4.M in To The Knowledge Onmetapocyrtusheller, 1912 (Coleoptera: Curculionidae: Pachyrhynchini) Species From Sibuyan Island, With Description Of New Species
Fig. 4.M. (Metapocyrtus) striatusHeller, 1912, Holotype, male (MTD).
Fig. 4 in The stick insect genus Medauroidea Zompro, 2000: Taxonomic note and extension to Laos and Cambodia with one new species, M. romantica sp. nov. (Phasmida: Phasmatidae: Clitumninae)
Fig. 4. Medauroidea romantica sp. nov., cephalic and prothoracic armature. A, ♂. B, ♀.
Global soil water content (volumetric m³/m³) for 10kPa, 33kPa and 1500kPa suctions predicted at 4 depths (0, 30, 60, and 100 cm) at 1km resolution
<p>Volumetric soil water content (m³/m³) at 10 kPa, 33 kPa, and 1500 kPa suctions was predicted at four depths (0, 30, 60, and 100 cm) with a spatial resolution of 1 km. The maps of van Genuchten (vG) parameters from Gupta et al. (2022) were used to calculate the soil water content at these pressures, following Equation 1 from Gupta et al. (2022).</p> <p>References:</p> <ol> <li>Gupta, Surya, Papritz, Andreas, Lehmann, Peter, Hengl, Tomislav, Bonetti, Sara, & Or, Dani. (2022). Global maps of soil water characteristics parameters developed using the random forest in a Covariate-based GeoTransfer Functions (CoGTF) framework at 1 km resolution [Data set]. https://doi.org/10.5281/zenodo.6343570</li> </ol>
FIGURE 4 in DUG¨S' CAUDATUS IS A TENUIPALPIDAE AND NOT A TYDEIDAE (ACARI) Henri M. A
FIGURE 4: Tenuipalpus caudatus (DugŁs, 1834). (A) – Protruded chelicerae and first epimera in ventral view, (B) – Palp in dorsal views, (C) - Palp in lateral views, (D) – Tenent hairs and tarsus IV in lateral view, (E) – Legs I in dorsal view, (F) Leg II in dorsal view, (G) Legs III and IV in dorsal view. (Scale bars: A – D: 20 µm; E – G: 50 µm – Specimens collected in Montpellier).
Fig. 4. M in A new hangingfly (Insecta: Mecoptera: Bittacidae) from the Middle Jurassic of Inner Mongolia, China
Fig. 4. M. daohugouensis holotype, camera lucida drawing of right fore wing. Scale bar = 2 mm.
Soil moisture in %(m3/m3) at 4 layer at 1000 m resolution in Qinghai-Tibet Plateau (QTP_DNN_Sm_L2)
<p>Based on the deep neural network, using the SMAP and ERA5 datasets as the target data, and considering the elements of the water cycle process and environmental factors as predictor variables for training, a daily multi-layer soil moisture dataset with a resolution of 1000 meters from 2001 to 2020 was produced. The data set is stored as integer data, scale=100000.</p> <p> </p> <p>File naming convention:</p> <p>2001..2020 = time reference: period 2001-2020,</p> <p>QTP_DNN_Sm = Dataset ID,</p> <p>L1..L4 = 4 layer soil depth (0-7cm, 7-28cm, 28-100cm, 100-289cm),</p> <p>day1..day365/day366 = Date order within the year (January 1st - December 31st),</p> <p>pkl = Data storage format.</p>
Soil moisture in %(m3/m3) at 4 layer at 1000 m resolution in Qinghai-Tibet Plateau (QTP_DNN_Sm_L1)
<p>Based on the deep neural network, using the SMAP and ERA5 datasets as the target data, and considering the elements of the water cycle process and environmental factors as predictor variables for training, a daily multi-layer soil moisture dataset with a resolution of 1000 meters from 2001 to 2020 was produced. The data set is stored as integer data, scale=100000.</p> <p> </p> <p>File naming convention:</p> <p>2001..2020 = time reference: period 2001-2020,</p> <p>QTP_DNN_Sm = Dataset ID,</p> <p>L1..L4 = 4 layer soil depth (0-7cm, 7-28cm, 28-100cm, 100-289cm),</p> <p>day1..day365/day366 = Date order within the year (January 1st - December 31st),</p> <p>pkl = Data storage format.</p>
Soil moisture in %(m3/m3) at 4 layer at 1000 m resolution in Qinghai-Tibet Plateau (QTP_DNN_Sm_L3)
<p>Based on the deep neural network, using the SMAP and ERA5 datasets as the target data, and considering the elements of the water cycle process and environmental factors as predictor variables for training, a daily multi-layer soil moisture dataset with a resolution of 1000 meters from 2001 to 2020 was produced. The data set is stored as integer data, scale=100000.</p> <p> </p> <p>File naming convention:</p> <p>2001..2020 = time reference: period 2001-2020,</p> <p>QTP_DNN_Sm = Dataset ID,</p> <p>L1..L4 = 4 layer soil depth (0-7cm, 7-28cm, 28-100cm, 100-289cm),</p> <p>day1..day365/day366 = Date order within the year (January 1st - December 31st),</p> <p>pkl = Data storage format.</p>
Soil moisture in %(m3/m3) at 4 layer at 1000 m resolution in Qinghai-Tibet Plateau (QTP_DNN_Sm_L4)
<p>Based on the deep neural network, using the SMAP and ERA5 datasets as the target data, and considering the elements of the water cycle process and environmental factors as predictor variables for training, a daily multi-layer soil moisture dataset with a resolution of 1000 meters from 2001 to 2020 was produced. The data set is stored as integer data, scale=100000. </p> <p> </p> <p>File naming convention:</p> <p>2001..2020 = time reference: period 2001-2020,</p> <p>QTP_DNN_Sm = Dataset ID,</p> <p>L1..L4 = 4 layer soil depth (0-7cm, 7-28cm, 28-100cm, 100-289cm),</p> <p>day1..day365/day366 = Date order within the year (January 1st - December 31st),</p> <p>pkl = Data storage format.</p>
ScienceDex guides
Understand access before you commit
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.