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380 results for “Rifting”
Figure 2 in Albertine Rift Valley endemics: three new species of freshwater crabs (Brachyura: Potamoidea: Potamonautidae) from Uganda, the Democratic Republic of the Congo, and Rwanda
Figure 2. Potamonautes kivu sp. nov., holotype, adult male, CW 24.9 mm, Gisenyi, Lake Kivu, Rwanda (NHMUK reg. 2018. 5). (a) Whole animal, dorsal view; (b) whole animal, ventral view.
Figure 1 in Albertine Rift Valley endemics: three new species of freshwater crabs (Brachyura: Potamoidea: Potamonautidae) from Uganda, the Democratic Republic of the Congo, and Rwanda
Figure 1. Potamonautes bwindi sp. nov., holotype, adult male, CW 20.2 mm, Bwindi Impenetrable Forest, Uganda (NHMUK 2018. 1). (a) Whole animal, dorsal view; (b) whole animal, ventral view.
Figure 8 in Albertine Rift Valley endemics: three new species of freshwater crabs (Brachyura: Potamoidea: Potamonautidae) from Uganda, the Democratic Republic of the Congo, and Rwanda
Figure 8. Distribution map showing the known localities of Potamonautes bwindi sp. nov. (black circle, not shown to scale); Potamonautes kivu sp. nov. (black star, not shown to scale); Potamonautes rwenzori sp. nov. (black squares, not shown to scale) in Uganda and the Democratic Republic of the Congo. For exact localities see text.
FIGURE 3 in A new species of the palaearctic genus Dasypoda Latreille 1802 (Hymenoptera: Dasypodaidae) from the Great Rift Valley in Ethiopia
FIGURE 3. Hind tibia of Dasypoda riftensis sp. nov. male (scale bars = 1mm): a. Lateral view; b. Inner view; c. External view.
FIGURE 4 in A new species of the palaearctic genus Dasypoda Latreille 1802 (Hymenoptera: Dasypodaidae) from the Great Rift Valley in Ethiopia
FIGURE 4. Hidden sterna and genitalia of Dasypoda riftensis sp. nov. male: a. Genitalia in dorsal view (scale bar = 100µm); b. Detail of gonostylus (scale bar = 70µm); c. Detail of latero-apical structure of sternum 7 (scale bar = 100µm); d. Sternum 6 in dorsal view (scale bar = 1mm); e. Sternum 7 in dorsal view (scale bar = 300µm); f. Sternum 8 in dorsal view (scale bar = 200µm).
FIGURE 2 in A new species of the palaearctic genus Dasypoda Latreille 1802 (Hymenoptera: Dasypodaidae) from the Great Rift Valley in Ethiopia
FIGURE 2. Habitus and habitat of Dasypoda riftensis sp. nov.: a, c. Female in dorsal and lateral view; b, d. Male in dorsal and lateral view; e. Wheat crop with adventices (Asteraceae: Launaea cornuta) where type specimens have been collected; f. Landscape in the surrounding area (photo J.-L. Boevé).
FIGURE 5 in Phylogeography of the reed frog Hyperolius castaneus (Anura: Hyperoliidae) from the Albertine Rift of Central Africa: Implications for taxonomy, biogeography and conservation
FIGURE 5. Color pattern variation of Hyperolius c. castaneus in life. UTEP 20615, adult male from Aboro, Lendu Plateau, DRC in dorsal (A) and ventral (B) views; UTEP 20631, adult male from Mugaba, Kahuzi-Biega National Park, DRC (C); UTEP 20649, adult male from Rwegura, Burundi (D); UTEP 20623, adult female from Mt. Tshiaberimu, Virunga National Park, DRC (E); UTEP 20619, adult female from Mt. Tshiaberimu, Virunga National Park, DRC (F); UTEP 20633, subadult from Mugaba, Kahuzi-Biega National Park, DRC (G); and UTEP 20650, subadult from Bururi, Burundi (H).
FIGURE 2 in Phylogeography of the reed frog Hyperolius castaneus (Anura: Hyperoliidae) from the Albertine Rift of Central Africa: Implications for taxonomy, biogeography and conservation
FIGURE 2. Maximum-likelihood phylogenetic tree of Hyperolius castaneus populations from the Albertine Rift. Numbers listed at nodes are maximum parsimony bootstrap support values, maximum likelihood bootstrap support values and Bayesian inference posterior probability values. See Appendix 1 for sample abbreviations. Outgroup taxa Phlyctimantis verrucosus and Hyperolius cf. nasutus not shown.
FIGURE 1 in Phylogeography of the reed frog Hyperolius castaneus (Anura: Hyperoliidae) from the Albertine Rift of Central Africa: Implications for taxonomy, biogeography and conservation
FIGURE 1. Map of the northern half of the Albertine Rift of Central Africa, showing genetic sampling localities for Hyperolius c. castaneus (circles), H. c. constellatus (squares) and H. c. submarginatus (diamonds).
FIGURE 4 in Phylogeography of the reed frog Hyperolius castaneus (Anura: Hyperoliidae) from the Albertine Rift of Central Africa: Implications for taxonomy, biogeography and conservation
FIGURE 4. Scatter plots of the first and second principal component scores for the analysis with log-transformed mensural data (A), and mensural data regressed against snout–vent length (B). Symbols are Hyperolius c. castaneus males (open circles), H. c. castaneus females (filled circles), H. c. constellatus males (open squares), and H. c. constellatus females (filled squares).
FIGURE 3 in Phylogeography of the reed frog Hyperolius castaneus (Anura: Hyperoliidae) from the Albertine Rift of Central Africa: Implications for taxonomy, biogeography and conservation
FIGURE 3. Haplotype networks for Hyperolius castaneus populations calculated from mitochondrial (A, 16S and cyt b) and nuclear (B, RAG1) data sets in the program NETWORK. Median vectors introduced by the NETWORK algorithm are shown as small black circles. Numbers in parentheses correspond to the number of mutations. Shapes used in the networks correspond to those used in Figure 1. Branches are not necessarily proportional. Heterozygote samples for nuclear data are shown twice to represent each haplotype.
FIGURE 6 in Phylogeography of the reed frog Hyperolius castaneus (Anura: Hyperoliidae) from the Albertine Rift of Central Africa: Implications for taxonomy, biogeography and conservation
FIGURE 6. Color pattern variation of Hyperolius c. constellatus in life. UTEP 20652, adult male from Magunda, Itombwe Plateau, DRC in dorsal (A) and ventral (B) views; UTEP 20673, adult male from Kizuka, Itombwe Plateau, DRC (C); UTEP 20676, adult male from Mikenge, Itombwe Plateau, DRC (D); UTEP 20663, adult female from Komesha, Itombwe Plateau, DRC (E); and UTEP 20678, adult female from Mitamba, Itombwe Plateau, DRC (F).
Plume-induced destabilization of rift zones on Venus
<p>This archive contains a selection of output files as well as sample parameter files for the models presented in the manuscript titled, "Plume-induced destabilization of rift zones on Venus". Models were run using StagYY (Tackley, 2008) and post-processing was done using StagLab 6.0 software (Crameri, 2021). <br> <br> The temperature, viscosity, and velocity-pressure output files are given for at least one representative time step for each model, which if plotted depicts either a peel-back delamination or stagnant-lid tectonic regime. The majority of models also include output files from an earlier time showing the initial stages of plume-lithosphere interaction. <br> <br> In the par files folder, a selection of three sample par files are given, corresponding to 150, 200, and 250 km-thick lithosphere. Additional parameters were varied, including 'plumeRadius', 'B_crust', and 'gap_length', which control the radius of the plume, the compositional buoyancy of the crust, and the width of the rift zone, respectively. </p>
Supplementary files for Gernon et al. (2023) Rift-induced disruption of cratonic keels drives kimberlite volcanism
<p><strong>Supplementary files for Gernon et al. (2023) </strong> Rift-induced disruption of cratonic keels drives kimberlite volcanism</p> <p>This directory contains datasets, GIS files, Uninet model files and R scripts used to generate the figures in Gernon, T.M., Jones, S.M., Brune, S., Hincks, T.K., Palmer, M.R., Schumacher, J.C., Primiceri, R.M., Field, M., Griffin, W.L., O’Reilly, S.Y., Keir, D., Spencer, C.J., Merdith, A. & Glerum, A. Rift-induced disruption of cratonic keels drives kimberlite volcanism. Nature, doi: <a href="https://doi.org/10.1038/s41586-023-06193-3">https://doi.org/10.1038/s41586-023-06193-3</a> (2023).</p> <p><strong>Contents:</strong><br> <strong>GIS</strong><br> <em>COB_NAmerica.shp, COB_SAmerica.shp, COB_Africa.shp</em><br> Shapefiles for rifts in North America, South America and Africa with associated rift and breakup ages;<br> <em>Combined_database_Kimberlites_Tappe_Brazil.shp </em> Kimberlite locations (lon/lat) with ages</p> <p><br> <strong>input data files</strong><br> <em>1_Ga_area_perimeter_1000_0_1myr.csv</em><br> Plate area and perimiter estimates used to generate Fragmentation index, see<br> Merdith A.S. et al., 2021, <a href="https://doi.org/10.1016/j.earscirev.2020.103477">https://doi.org/10.1016/j.earscirev.2020.103477</a><br> and Merdith A.S. et al., 2017 <a href="https://doi.org/10.1016/j.gr.2017.04.001">https://doi.org/10.1016/j.gr.2017.04.001</a></p> <p><em>GoodwinPreservationCurve.csv</em><br> Surface preservation estimate (as a function of time) from Goodwin, A.M. 1996<br> <a href="https://doi.org/10.1016/B978-0-12-289770-2.X5000-6">https://doi.org/10.1016/B978-0-12-289770-2.X5000-6</a></p> <p><em>Kimberlites_ages.csv</em><br> Kimberlite database from Tappe et al. 2018, <a href="https://doi.org/10.1016/j.epsl.2017.12.013">https://doi.org/10.1016/j.epsl.2017.12.013</a></p> <p><em>LIP_input.csv</em><br> Ages and extent of Large Igneous Provinces from Ernst, 2014, <a href="https://doi.org/10.1017/CBO9781139025300">https://doi.org/10.1017/CBO9781139025300</a></p> <p><br> <em><strong>output data files</strong></em><br> <em>UNINET_KimberliteCount_LIPstart_dFrag_5MyrRes.csv and UNINET_Past500Myr_KimberliteCount_LIPstart_dFrag_5MyrRes.csv</em><br> 5 Myr aggregated time series for Uninet lag analysis</p> <p><em>Symmetric_dFrag9Myr_alldataNA.csv</em><br> Time series (1 Myr resolution) for:<br> Fragmentation (Frag);<br> Rate of change of fragmentation (dFrag_9Myr), calculated over a moving interval t+/-4 Myr as a measure of breakup;<br> Kimberlite count (Kimberlites);<br> Kimberlite count corrected for preservation (see GoodwinPreservationCurve.csv above) (CorrKimberlites);<br> Initiation of Large Igneous Provinces (LIPstart)</p> <p><em>CLUSTER_sample_rates_Fig1e_ExFig4a.zip (large csv file)</em><br> Output from <em>Migration_rate_estimates_with_uncertainty_MINLAG_and_MINDIST.r </em>containing simulated estimates of migration rate, accounting for time, distance and model (rift association uncertainty) for Kimberlite clusters in N America, S America and Africa. This ouptut was used to generate Fig 1e and Extended Data Fig 4a in Gernon et al (2023)</p> <p><br> <strong>Uninet files</strong><br> <strong><em>UNINET_500Myr_5MryRes_dFrag9Myr_Kim</em></strong><br> <em>Emp_correl.txt, BN_correl.txt and Cond_correl.txt :</em> Emprical, BN and Conditional rank correlations for Kimberlites and lagged dFrag (rate of change of fragmentation) using a 5 Myr resolution time series for the past 500 Myr.<br> <em>CORRELATIONS_500Myr_5MryRes_dFrag9Myr_Kim.pdf </em>and <em>COND_CORR_500Myr_5MryRes_dFrag9Myr_Kim.pdf </em>plots showing correlation v.s. lag<br> <em>TEST_500Myr_5MryRes_dFrag9Myr_Kim.uninet</em> Uninet model file used to estimate correlations</p> <p><strong><em>UNINET_1000Myr_5MryRes_LIPstartSum5Myr_dFrag9Myr</em></strong><br> <em>Emp_correl.txt, BN_correl.txt and Cond_correl.txt</em> : Emprical, BN and Conditional rank correlations for dFrag (rate of change of fragmentation) and lagged values of LIPstart (initiation of Large Igneous Provinces) using a 5 Myr resolution time series for the past 1000 Myr.<br> <em>COND_CORR_1000Myr_5MryRes_LIPstartSum5Myr_dFrag9Myr.pdf</em> plot showing conditional correlation vs. lag<br> <em>TEST_1000Myr_5MryRes_LIPstartSum5Myr_dFrag9Myr.uninet</em> Uninet model file used to estimate correlations</p> <p><br> <strong>Generate_Fig1b_ExtFig2_ExtFig6</strong><br> <em>R_fig1b_extended_fig2bcd.r</em><br> R script to generate Fig 1b and Extended Data Figs 2 and 6 for Gernon et al. (2023)<br> [ also includes generated figures and output data files ]</p> <p><br> <strong>Generate_migration_rate_estimates</strong><br> <em>Migration_rate_estimates_with_uncertainty_MINLAG_and_MINDIST.r</em><br> R script to generate Fig 1e, and Extended Data Figs 4 and 5 for Gernon et al. (2023)<br> [ also includes generated figures and output data files ]<br> Note: <em>UNINET_KimberliteCount_LIPstart_dFrag_5MyrRes.csv</em> and <em>UNINET_Past500Myr_KimberliteCount_LIPstart_dFrag_5MyrRes.csv</em> are inputs to the Uninet models described above.</p>
Elucidating the Magma Plumbing System of Ol Doinyo Lengai (Natron Rift, Tanzania) Using Satellite Geodesy and Numerical Modeling: Supplementary Model Files
<p>Supplementary code and model files for the manuscript entitled "Elucidating the Magma Plumbing System of Ol Doinyo Lengai (Natron Rift, Tanzania) Using Satellite Geodesy and Numerical Modeling". OlDoinyoLengai_code_and_models.zip contains all necessary Matlab code, functions, input and output files for the GNSS, InSAR, and joint inversions presented in our manuscript necessary to reproduce the results. dMODELS is an open source code developed by the United States Geological Survey. The originally published program is available here: https://pubs.usgs.gov/tm/13/b1/ and the revised software archived here will also be available through the USGS website code.usgs.gov/vsc/publications/OlDoinyoLengai or by contacting Maurizio Battaglia. With this manuscript we are providing an update to dMODELS that includes improved graphics and joint inversion capabilities for both InSAR and GNSS data. </p>
Data file for: Magnetotelluric imaging of the central Himalayan crust away from rift zones
<p>The magnetotellurics data were used to study the crustal electrical structure of the central Himalayan Orogenic Belt, conducted by Institute of Geophysical and Geochemical Exploration, Chinese Academy of Geological Sciences. The data file of <a href="https://zenodo.org/api/files/34fde6b7-246f-4736-bfbc-e1cc86e51ec1/pxr7.dat?versionId=b064e5eb-eb14-409b-bacc-fc6bd89a9a27">pxr7.dat</a> was generated by the Matlab code EM3DVP.</p> <p>You are recommended to refer to the Kelbert et al., 2014 paper: https://doi.org/10.1016/j.cageo.2014.01.010 for a brief understanding of the data file formats.</p>
Switzerland 2023 Field Campaign - 360 degree Alpine Tethys rifted margin outcrops
<p>360 degree photospheres acquired during the 2023 summer data acquisition campaign targeting the pristine remnant outcrops of the Alpine Tethys rifted margins that are exposed in the Swiss Alps</p>
Goldhagen et al: East Africa Rift attenuation model and uncertainties
<p>The file Goldhagen_model.xyz contains latitude, longitude and t* values for the preferred model in Goldhagen et al (Figure 2).</p> <p>The file Goldhagen_std.xyz contains latitude, longitude and standard deviation (t*) for the preferred model in Goldhagen et al (Figure 2).</p> <p>Please cite "Goldhagen, G.*, <strong>H. A. Ford</strong>, J. S. Byrnes, and M. N. Brounce, <em>New Measurements of seismic attenuation across the East Africa Rift,</em> submitted<em>"</em></p>
A Study to Assess the Reduction of Human Papillomavirus (HPV) Viral Infectivity and Transmission in HPV-Positive Women After Vaccination With 9vHPV (RIFT-HPV)
ClinicalTrials.gov study NCT05334706. IPD Sharing: NO. Countries: 1. Publications: 11.
A Study to Assess the New Candidate Rift Valley Fever Virus Vaccine in Healthy Adults
ClinicalTrials.gov study NCT04672824. IPD Sharing: NO. Countries: 1. Publications: 1.
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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.