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5,108 results for “North America”
Fig. 2 in The systematics of Late Jurassic tyrannosauroid theropods from Europe and North America
Fig. 2. The phylogenetic relationships of tyrannosauroids, based on a revised analysis of the Brusatte et al. (2010) dataset. Details of the analysis are described in the text and the dataset is presented in SOM. The cladogram shown here is the single most parsimonious tree recovered by the analysis, with the wildcard taxon Aviatyrannis excluded (570 steps, CI = 0.640, RI = 0.835). Numbers next to nodes denote bootstrap percentages (based on 1000 replicates) and Bremer support. Note that Stokesosaurus clevelandi and "S." langhami (here referred to by its new genus name, Juratyrant) are not found as sister taxa, and therefore a monophyletic Stokesosaurus is not recovered. When Aviatyrannis is included in the analysis, the strict consensus of nine most parsimonious trees (not figured) shows identical and fully resolved relationships among Xiongguanlong and all more derived taxa. However, Stokesosaurus clevelandi, "S." langhami, and Eotyrannus, form a polytomy. This clade, in turn, is part of a large basal polytomy that also includes the Xiongguanlong + more derived clade, Dilong, Aviatyrannis, Guanlong, Kileskus, Proceratosaurus, and Sinotyrannus. On the figured cladogram, the following unambiguous synapomorphies support major clades, with character numbering following that in the character list of Brusatte et al. (2010) and SOM: all tyrannosauroids more derived than Dilong (33, 41, 49, 80, 180, 181, 196, 198, 221, 239, 241, 244, 257, 274, 281, 289, 290); the clade of S. clevelandi, Juratyrant, and Eotyrannus (258, 310, 311, 313); the clade of Juratyrant and Eotyrannus (no unambiguous synapomorphies).
Fig. 1 in The systematics of Late Jurassic tyrannosauroid theropods from Europe and North America
Fig. 1. Ilia of basal non−tyrannosaurid tyrannosauroids with a posterodorsally inclined ridge on the lateral surface of the ilium. A. Right ilium (reversed) of Juratyrant langhami Benson, 2008 (OUMNH J.3311−21), Kimmeridge Clay, Dorset England, Late Jurassic (early Tithonian). B. Left ilium of Stokesosaurus clevelandi, Madsen 1974 (UMNH VP 7473), Morrison Formation, Utah, USA, Late Jurassic (early Tithonian). C. Left ilium of Eotyrannus lengi Hutt, Naish, Martill, Barker, and Newberry, 2001 (MIWG 1997.550), Wessex Formation, Isle of Wight, England, Early Cretaceous (Barremian). All in lateral view. Arrows denote the lateral ridge.
Fig. 4 in Morphology of the Auditory Region in Paramys copei and Other Eocene Rodents from North America
Fig. 4. Sciuravus nitidus (AMNH 12531) ventral view diagram of auditory regions and endocranial cast (with mechanical dot pattern). Anterior is toward the top of the page. Abbreviations: acf anterior carotid foramen; fo foramen ovale; f/ s foramen shared by facial nerve and stapedial artery; hy hypoglossal foramen; ic internal carotid artery channel; icp transpromontorial internal carotid artery channel; ost fossa for origin of stapedius muscle; otc orbitotemporal canal (contained supraorbital branch of stapedial artery); plf posterior lacerate foramen; ri ramus inferior of stapedial artery (cast); rs ramus superior of stapedial artery (cast); sf sphenofrontal foramen; st stapedial artery (cast); sty stylomastoid foramen.
Fig. 41 in Molecular phylogeny of Acerentomidae (Protura), with description of Acerentuloides bernardi sp. nov. from North America
Fig. 41. Molecular phylogeny of Acerentomidae inferred from concatenated COI, 18S rRNA, 28S rDNA D1–D2, and 28S rDNA D3–D6 sequences with maximum likelihood (ML). ML bootstrap values shown above the branches.
Figs. 11–15 in Molecular phylogeny of Acerentomidae (Protura), with description of Acerentuloides bernardi sp. nov. from North America
Figs. 11–15. Acerentuloides bernardi sp. nov. 11. Pronotum and mesonotum, right side; 12. lateral part of metanotum; 13. anterior part of prosternum; 14. anterolateral part of mesosternum; 15. anterolateral part of metasternum. Arrows indicate pores (al = tergal anterolateral, sl = tergal sublateral). Scale bars: 20 µm.
Figs. 1–10 in Molecular phylogeny of Acerentomidae (Protura), with description of Acerentuloides bernardi sp. nov. from North America
Figs. 1–10. Acerentuloides bernardi sp. nov. 1. Head, right side; 2. pseudoculus with seta l3; 3. cephalic seta sd5; 4. maxillary palpus; 5. labial palpus; 6. maxillary gland; 7. comb; 8. female squama genitalis; 9. foretarsus, exterior view; 10. foretarsus, interior view. Arrows indicate pores (cp = clypeal pore, fr = frontal pore). Scale bars: 20 µm.
Figs. 24–34 in Molecular phylogeny of Acerentomidae (Protura), with description of Acerentuloides bernardi sp. nov. from North America
Figs. 24–34. Acerentuloides bernardi sp. nov. scanning electron microscopy photographs. 24. Habitus; 25. labial palp (apical tuf with 4 setae broken; s = labial sensillum); 26. foretarsus, interior view: sensilla t1, t3 and a'; 27. modified seta P2a on mesonotum; 28. modified seta A2 on prosternum; 29. modified seta M2 on prosternum; 30. modified seta A5 on tergite I and P1a on sternite I; 31. abdominal leg on segment III (sa = subapical, am = apical medial, al = apical lateral setae; apical lateral seta is broken); 32. hind margin of sternite VI; 33. hind margin of sternite VII; 34. sternites VIII–XII. Scale bars = 300 µm (Fig. 24), 4 µm (Figs. 25 and 27–29), 10 µm (Fig. 31), and 20 µm (Figs. 26, 30, and 32–34).
Figs. 35–40 in Molecular phylogeny of Acerentomidae (Protura), with description of Acerentuloides bernardi sp. nov. from North America
Figs. 35–40. Acerentulus confinis (Berlese, 1908), American specimen scanning electron microscopy photographs. 35. Habitus; 36. pseudoculus and cephalic setae sd4 and l3; 37. foretarsus, exterior view: sensilla t1, t3 and a'; 38. labial palpi with apical tuf of setae and basal sensillum (s); 39. sternite VIII; 40. modified seta P4 on metanotum. Scale bars = 300 µm (Fig. 35), 20 µm (Figs. 36 and 38), and 40 µm (Figs. 37, 39, and 40).
Figs. 16–23 in Molecular phylogeny of Acerentomidae (Protura), with description of Acerentuloides bernardi sp. nov. from North America
Figs. 16–23. Acerentuloides bernardi sp. nov. 16. Tergite I, right side; 17. tergite VI, right part; 18. tergite VII, right part; 19. tergite VIII; 20. sternite II; 21. abdominal leg of sternite II; 22. sternite VI; 23. sternites VII–IX. Arrows indicate pores (psm = tergal posterosubmedial, psl = tergal posterosublateral, spsm = sternal posterosubmedial, spm = sternal posteromedial). Scale bars: 20 µm.
Figures 22–23 in Bees of the genera Dufourea and Dieunomia of Michigan (Hymenoptera: Apoidea: Halictidae), with a key to the Dufourea of eastern North America
Figures 22–23. Lateral habitus of Dieunomia heteropoda (Say). 22. Female. 23. Male. Images courtesy of Laurence Packer.
Figures 10–15 in Bees of the genera Dufourea and Dieunomia of Michigan (Hymenoptera: Apoidea: Halictidae), with a key to the Dufourea of eastern North America
Figures 10–15. Males of Dufourea novaeangliae (Robertson) (10–12) and D. monardae (Viereck) (13–15). 10, 13. Propodea. 11, 14. Metatrochanters. 12, 15. Metasomal sterna six. Modified from Dumesh & Sheffield (2012).
Figures 6–9 in Bees of the genera Dufourea and Dieunomia of Michigan (Hymenoptera: Apoidea: Halictidae), with a key to the Dufourea of eastern North America
Figures 6–9. Females of Dufourea novaeangliae (Robertson) (6, 7) and D. monardae (Viereck) (8, 9). 6, 8. Head and mouthparts in lateral view. 7, 9. Mesobasitarsi. Modified from Dumesh & Sheffield (2012).
Figures 4–5 in Bees of the genera Dufourea and Dieunomia of Michigan (Hymenoptera: Apoidea: Halictidae), with a key to the Dufourea of eastern North America
Figures 4–5. Faces of female Dufourea Lepeletier de Saint Fargeau. 4. Dufourea novaeangliae (Robertson). 5. D. harveyi (Cockerell). Modified from Dumesh & Sheffield (2012).
Figures 2–3 in Bees of the genera Dufourea and Dieunomia of Michigan (Hymenoptera: Apoidea: Halictidae), with a key to the Dufourea of eastern North America
Figures 2–3. Lateral habitus of male Dufourea Lepeletier de Saint Fargeau. 2. Dufourea maura (Cresson). 3. D. harveyi (Cockerell). Modified from Dumesh & Sheffield (2012).
Figure 1 in Bees of the genera Dufourea and Dieunomia of Michigan (Hymenoptera: Apoidea: Halictidae), with a key to the Dufourea of eastern North America
Figure 1. Face of female Dufourea maura (Cresson). Modified from Dumesh & Sheffield (2012). Scale bar = 1 mm.
WRF output. Resolution: 12 km. Domain: Eastern North America
<p>Derived products from WRF simulations at 12 km resolution. LBC: ERA-Interim. Output every 10-min. Output level: 3rd model level </p> <p>Details given in: Pryor S.C. et al. (2018): Inter-annual variability of wind climates and wind turbine annual energy production. Manuscript published in Wind Energy Science.</p> <p>5 netcdf files;</p> <p>Pryoretal_WES2018_part1.nc contains information shown in Figure 3. Included variables; lat, lng, medianWSHH, CI(medianWSHH), vectors of data in WT grid cells and in grid cells without WT.</p> <p>Pryoretal_WES2018_part2.nc contains information shown in Figure 4. Included variables; Weibull distribution fits by wind speed bin and year, and FFT of output from TX, IA, and NY.</p> <p>Pryoretal_WES2018_part3.nc contains information shown in Figure 5. Included variables; lat, lng, 50th and 90th percentile WI, AEP and difference, vectors of data in WT grid cells and in grid cells without WT.</p> <p>Pryoretal_WES2018_part4.nc contains information shown in Figure 6.Included variables; lat, lng, 50th and 90th percentile AEP and difference, vectors of data in WT grid cells and in grid cells without WT.</p> <p>Pryoretal_WES2018_part5.nc contains information shown in Figure 7. Included variables; lat, lng, time of minimum, time of maximum.</p> <p> </p>
Climatic dissimilarity data for North America at 1 km resolution.
<p>The raster data layers contained in this archive represent climatic dissimilarity as the distance in multivariate climate space (represented by the 1st and 2nd axes of a principal components analysis based on 11 bioclimatic variables) between current (1981-2010) and future (either 2041-2070 ("2055") or 2071-2100 ("2085")) time periods. Ensemble data are based on mean projections from 15 CMIP5 models (CanESM2, ACCESS1.0, IPSL-CM5A-MR, MIROC5, MPI-ESM-LR, CCSM4, HadGEM2-ES, CNRM-CM5, CSIRO Mk 3.6, GFDL-CM3, INM-CM4, MRI-CGCM3, MIROC-ESM, CESM1-CAM5, GISS-E2R) that were chosen to represent all major clusters of similar AOGCMs. Projections from 8 of these 15 GCMs were also used to generate dissimilarity values based on individual GCM projections. Input bioclimatic data was developed by statistical downscaling using the ClimateNA software developed by T. Wang. Additional description of the data can be found at https://adaptwest.databasin.org/pages/climatic-dissimilarity.</p>
Spatial patterns of uncertainty in climate exposure metrics for North America at 1km resolution
<p>The data provided below represents the degree of uncertainty or variation between 8 individual general circulation models (GCM) for three metrics commonly used to assess the intensity of exposure to climate change. The three exposure metrics (forward and backward <a href="https://adaptwest.databasin.org/pages/adaptwest-velocitywna">climatic velocity</a> and <a href="https://adaptwest.databasin.org/pages/climatic-dissimilarity">local climatic dissimilarity</a>) were calculated based on the first two principal components (PC) scores derived from <a href="https://adaptwest.databasin.org/pages/climatic-dissimilarity">11 different climate variables</a>. Frameworks and heuristics supporting climate adaptation for conservation often rely on projections of climate change or climate exposure. However, projections of climate change vary among alternative GCM outputs, different emissions scenarios, and different future time periods. The potential for these model predictions to vary geographically presents a source of uncertainty in assigning climate-informed conservation strategies to landscapes. Regions with high agreement among predictions could be more confidently assigned a climate-informed strategy, whereas regions with less agreement among predictions may require a more cautious approach. More information on the data can be found at https://adaptwest.databasin.org/pages/uncertainty-climate-metrics.</p>
WRF-Chem output. Resolution: 24 km. Domain: Eastern North America
<p>Derived products from WRF-Chem simulations at 24 km resolution.</p> <p>Details given in: Crippa P. et al. (2019): Sensitivity of simulated aerosol properties over eastern North America to WRF-Chem parameterizations. Manuscript published in the Journal of Geophysical Research.</p> <p>14 netcdf files:</p> <p>Crippaetal_JGR2019_AOD.nc contains monthly mean AOD cloud screened for each ensemble member.</p> <p>Crippaetal_JGR2019_net_radiation.nc contains monthly mean surface net radiation for each ensemble member.</p> <p>Crippaetal_JGR2019_NO3_fine.nc contains monthly mean NO3 in the fine aerosol mode for each ensemble member.</p> <p>Crippaetal_JGR2019_SO4_fine.nc contains monthly mean SO4 in the fine aerosol mode for each ensemble member.</p> <p>Crippaetal_JGR2019_PM25_daily.nc contains daily PM<sub>2.5 </sub>concentrations for each ensemble member.</p> <p>Crippaetal_JGR2019_O3_daily.nc contains daily mean surface ozone concentrations in the fine aerosol mode for each ensemble member.</p> <p>Crippaetal_JGR2019_PBLH.nc contains monthly mean planetary boundary layer height for each ensemble member regridded on the MERRA-2 resolution</p> <p>Crippaetal_JGR2019_T2.nc contains monthly mean surface temperature at 2m for each ensemble member regridded on the MERRA-2 resolution</p> <p>Crippaetal_JGR2019_QPBL.nc contains monthly mean specific humidity in the PBL for each ensemble member regridded on the MERRA-2 resolution</p> <p>Crippaetal_JGR2019_PPT.nc contains monthly total precipitation for each ensemble member regridded on the MERRA-2 resolution</p> <p>Crippaetal_JGR2019_lat_WRF-Chem.nc contains the latitude coordinates of the WRF-Chem grid</p> <p>Crippaetal_JGR2019_lon_WRF-Chem.nc contains the longitude coordinates of the WRF-Chem grid</p> <p>Crippaetal_JGR2019_lat_MERRA2.nc contains the latitude coordinates of the MERRA2 grid</p> <p>Crippaetal_JGR2019_on_MERRA2.nc contains the longitude coordinates of the MERRA2 grid</p>
Historical PM2.5 dataset across North America
<p>This dataset is the estimated long-term (1981-2016) concentrations of ambient fine particulate matter across North America, which combines information from chemical transport modeling, satellite remote sensing, and ground-based monitoring. The estimates included information from updated historical emissions inventories and meteorological data, fine resolution satellite-based estimates of PM<sub>2.5</sub>, and ground-based measurements of PM<sub>2.5</sub>, PM<sub>10</sub> and total suspended particles (TSP) measurements.</p>
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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.