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Shoreline data at 30-m spatial resolution for 298 coastal counties of the conterminous USA, in geoJSON format.
<p>Region: 298 coastal counties of the conterminous USA</p> <p>Data fields:</p> <ol> <li>MEAN_SIG_WAVEHEIGHT</li> <li>TIDAL_RANGE</li> <li>CHLOROPHYLL</li> <li>TURBIDITY</li> <li>TEMP_MOISTURE</li> <li>EMU_PHYSICAL</li> <li>REGIONAL_SINUOSITY</li> <li>GHM</li> <li>MAX_SLOPE %</li> <li>OUTFLOW_DENSITY</li> <li>ERODIBILITY</li> <li>LENGTH_GEO</li> <li>ch_label</li> <li>river_label</li> <li>sinuosity_label</li> <li>slope_label</li> <li>tidal_label</li> <li>turbid_label</li> <li>wave_label</li> <li>CSU_Descriptor</li> <li>CSU_ID</li> </ol> <p>The data originally come from https://rmgsc.cr.usgs.gov/outgoing/ecosystems/Global/USGSEsriGlobalCoastalSegmentsv1.mpk</p> <p>The data are described in the following publication</p> <p>Roger Sayre, Suzanne Noble, Sharon Hamann, Rebecca Smith, Dawn Wright, Sean Breyer, Kevin Butler, Keith Van Graafeiland, Charlie Frye, Deniz Karagulle, Dabney Hopkins, Drew Stephens, Kevin Kelly, Zeenatul Basher, Devon Burton, Jill Cress, Karina Atkins, D. Paco Van Sistine, Beverly Friesen, Rebecca Allee, Tom Allen, Peter Aniello, Irawan Asaad, Mark John Costello, Kathy Goodin, Peter Harris, Maria Kavanaugh, Helen Lillis, Eleonora Manca, Frank Muller-Karger, Bjorn Nyberg, Rost Parsons, Justin Saarinen, Jac Steiner & Adam Reed (2019) A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized ecological coastal units, Journal of Operational Oceanography, 12:sup2, S47-S56, DOI: <a href="https://doi.org/10.1080/1755876X.2018.1529714">10.1080/1755876X.2018.1529714</a></p> <p>Metadata file (each file listed alongside the bounds in WGS84 latitude/longitude): files_bounds.json</p> <p>Shoreline data files:</p> <p>us_county0_ref_shoreline.geojson<br> us_county1036_ref_shoreline.geojson<br> us_county111_ref_shoreline.geojson<br> us_county112_ref_shoreline.geojson<br> us_county113_ref_shoreline.geojson<br> us_county1148_ref_shoreline.geojson<br> us_county1149_ref_shoreline.geojson<br> us_county114_ref_shoreline.geojson<br> us_county115_ref_shoreline.geojson<br> us_county116_ref_shoreline.geojson<br> us_county117_ref_shoreline.geojson<br> us_county118_ref_shoreline.geojson<br> us_county1195_ref_shoreline.geojson<br> us_county119_ref_shoreline.geojson<br> us_county1200_ref_shoreline.geojson<br> us_county120_ref_shoreline.geojson<br> us_county121_ref_shoreline.geojson<br> us_county122_ref_shoreline.geojson<br> us_county123_ref_shoreline.geojson<br> us_county1246_ref_shoreline.geojson<br> us_county124_ref_shoreline.geojson<br> us_county125_ref_shoreline.geojson<br> us_county126_ref_shoreline.geojson<br> us_county1272_ref_shoreline.geojson<br> us_county1273_ref_shoreline.geojson<br> us_county1277_ref_shoreline.geojson<br> us_county127_ref_shoreline.geojson<br> us_county128_ref_shoreline.geojson<br> us_county129_ref_shoreline.geojson<br> us_county1302_ref_shoreline.geojson<br> us_county1304_ref_shoreline.geojson<br> us_county1305_ref_shoreline.geojson<br> us_county1306_ref_shoreline.geojson<br> us_county130_ref_shoreline.geojson<br> us_county1317_ref_shoreline.geojson<br> us_county131_ref_shoreline.geojson<br> us_county1324_ref_shoreline.geojson<br> us_county132_ref_shoreline.geojson<br> us_county133_ref_shoreline.geojson<br> us_county134_ref_shoreline.geojson<br> us_county135_ref_shoreline.geojson<br> us_county136_ref_shoreline.geojson<br> us_county137_ref_shoreline.geojson<br> us_county138_ref_shoreline.geojson<br> us_county139_ref_shoreline.geojson<br> us_county140_ref_shoreline.geojson<br> us_county141_ref_shoreline.geojson<br> us_county142_ref_shoreline.geojson<br> us_county143_ref_shoreline.geojson<br> us_county144_ref_shoreline.geojson<br> us_county145_ref_shoreline.geojson<br> us_county146_ref_shoreline.geojson<br> us_county147_ref_shoreline.geojson<br> us_county148_ref_shoreline.geojson<br> us_county149_ref_shoreline.geojson<br> us_county150_ref_shoreline.geojson<br> us_county151_ref_shoreline.geojson<br> us_county152_ref_shoreline.geojson<br> us_county153_ref_shoreline.geojson<br> us_county154_ref_shoreline.geojson<br> us_county155_ref_shoreline.geojson<br> us_county156_ref_shoreline.geojson<br> us_county157_ref_shoreline.geojson<br> us_county1585_ref_shoreline.geojson<br> us_county158_ref_shoreline.geojson<br> us_county1596_ref_shoreline.geojson<br> us_county159_ref_shoreline.geojson<br> us_county1605_ref_shoreline.geojson<br> us_county160_ref_shoreline.geojson<br> us_county161_ref_shoreline.geojson<br> us_county162_ref_shoreline.geojson<br> us_county163_ref_shoreline.geojson<br> us_county1649_ref_shoreline.geojson<br> us_county164_ref_shoreline.geojson<br> us_county1650_ref_shoreline.geojson<br> us_county1651_ref_shoreline.geojson<br> us_county1653_ref_shoreline.geojson<br> us_county1655_ref_shoreline.geojson<br> us_county1658_ref_shoreline.geojson<br> us_county165_ref_shoreline.geojson<br> us_county1667_ref_shoreline.geojson<br> us_county166_ref_shoreline.geojson<br> us_county167_ref_shoreline.geojson<br> us_county168_ref_shoreline.geojson<br> us_county169_ref_shoreline.geojson<br> us_county170_ref_shoreline.geojson<br> us_county171_ref_shoreline.geojson<br> us_county172_ref_shoreline.geojson<br> us_county173_ref_shoreline.geojson<br> us_county174_ref_shoreline.geojson<br> us_county175_ref_shoreline.geojson<br> us_county176_ref_shoreline.geojson<br> us_county177_ref_shoreline.geojson<br> us_county178_ref_shoreline.geojson<br> us_county179_ref_shoreline.geojson<br> us_county180_ref_shoreline.geojson<br> us_county181_ref_shoreline.geojson<br> us_county182_ref_shoreline.geojson<br> us_county183_ref_shoreline.geojson<br> us_county184_ref_shoreline.geojson<br> us_county185_ref_shoreline.geojson<br> us_county186_ref_shoreline.geojson<br> us_county187_ref_shoreline.geojson<br> us_county188_ref_shoreline.geojson<br> us_county189_ref_shoreline.geojson<br> us_county190_ref_shoreline.geojson<br> us_county191_ref_shoreline.geojson<br> us_county192_ref_shoreline.geojson<br> us_county193_ref_shoreline.geojson<br> us_county194_ref_shoreline.geojson<br> us_county195_ref_shoreline.geojson<br> us_county196_ref_shoreline.geojson<br> us_county197_ref_shoreline.geojson<br> us_county198_ref_shoreline.geojson<br> us_county199_ref_shoreline.geojson<br> us_county200_ref_shoreline.geojson<br> us_county201_ref_shoreline.geojson<br> us_county202_ref_shoreline.geojson<br> us_county203_ref_shoreline.geojson<br> us_county204_ref_shoreline.geojson<br> us_county205_ref_shoreline.geojson<br> us_county206_ref_shoreline.geojson<br> us_county207_ref_shoreline.geojson<br> us_county208_ref_shoreline.geojson<br> us_county209_ref_shoreline.geojson<br> us_county210_ref_shoreline.geojson<br> us_county2118_ref_shoreline.geojson<br> us_county211_ref_shoreline.geojson<br> us_county2125_ref_shoreline.geojson<br> us_county2127_ref_shoreline.geojson<br> us_county2128_ref_shoreline.geojson<br> us_county212_ref_shoreline.geojson<br> us_county2130_ref_shoreline.geojson<br> us_county2133_ref_shoreline.geojson<br> us_county213_ref_shoreline.geojson<br> us_county2148_ref_shoreline.geojson<br> us_county2149_ref_shoreline.geojson<br> us_county214_ref_shoreline.geojson<br> us_county215_ref_shoreline.geojson<br> us_county216_ref_shoreline.geojson<br> us_county217_ref_shoreline.geojson<br> us_county218_ref_shoreline.geojson<br> us_county219_ref_shoreline.geojson<br> us_county220_ref_shoreline.geojson<br> us_county221_ref_shoreline.geojson<br> us_county222_ref_shoreline.geojson<br> us_county223_ref_shoreline.geojson<br> us_county224_ref_shoreline.geojson<br> us_county225_ref_shoreline.geojson<br> us_county226_ref_shoreline.geojson<br> us_county227_ref_shoreline.geojson<br> us_county228_ref_shoreline.geojson<br> us_county229_ref_shoreline.geojson<br> us_county230_ref_shoreline.geojson<br> us_county231_ref_shoreline.geojson<br> us_county232_ref_shoreline.geojson<br> us_county233_ref_shoreline.geojson<br> us_county234_ref_shoreline.geojson<br> us_county235_ref_shoreline.geojson<br> us_county236_ref_shoreline.geojson<br> us_county237_ref_shoreline.geojson<br> us_county238_ref_shoreline.geojson<br> us_county239_ref_shoreline.geojson<br> us_county240_ref_shoreline.geojson<br> us_county241_ref_shoreline.geojson<br> us_county242_ref_shoreline.geojson<br> us_county243_ref_shoreline.geojson<br> us_county244_ref_shoreline.geojson<br> us_county245_ref_shoreline.geojson<br> us_county246_ref_shoreline.geojson<br> us_county2478_ref_shoreline.geojson<br> us_county247_ref_shoreline.geojson<br> us_county248_ref_shoreline.geojson<br> us_county2493_ref_shoreline.geojson<br> us_county249_ref_shoreline.geojson<br> us_county250_ref_shoreline.geojson<br> us_county2517_ref_shoreline.geojson<br> us_county2518_ref_shoreline.geojson<br> us_county251_ref_shoreline.geojson<br> us_county252_ref_shoreline.geojson<br> us_county2532_ref_shoreline.geojson<br> us_county253_ref_shoreline.geojson<br> us_county254_ref_shoreline.geojson<br> us_county255_ref_shoreline.geojson<br> us_county256_ref_shoreline.geojson<br> us_county257_ref_shoreline.geojson<br> us_county258_ref_shoreline.geojson<br> us_county259_ref_shoreline.geojson<br> us_county260_ref_shoreline.geojson<br> us_county261_ref_shoreline.geojson<br> us_county262_ref_shoreline.geojson<br> us_county263_ref_shoreline.geojson<br> us_county264_ref_shoreline.geojson<br> us_county265_ref_shoreline.geojson<br> us_county266_ref_shoreline.geojson<br> us_county267_ref_shoreline.geojson<br> us_county2688_ref_shoreline.geojson<br> us_county268_ref_shoreline.geojson<br> us_county269_ref_shoreline.geojson<br> us_county272_ref_shoreline.geojson<br> us_county2749_ref_shoreline.geojson<br> us_county275_ref_shoreline.geojson<br> us_county276_ref_shoreline.geojson<br> us_county277_ref_shoreline.geojson<br> us_county278_ref_shoreline.geojson<br> us_county279_ref_shoreline.geojson<br> us_county280_ref_shoreline.geojson<br> us_county281_ref_shoreline.geojson<br> us_county282_ref_shoreline.geojson<br> us_county283_ref_shoreline.geojson<br> us_county284_ref_shoreline.geojson<br> us_county285_ref_shoreline.geojson<br> us_county286_ref_shoreline.geojson<br> us_county287_ref_shoreline.geojson<br> us_county288_ref_shoreline.geojson<br> us_county289_ref_shoreline.geojson<br> us_county290_ref_shoreline.geojson<br> us_county291_ref_shoreline.geojson<br> us_county292_ref_shoreline.geojson<br> us_county293_ref_shoreline.geojson<br> us_county294_ref_shoreline.geojson<br> us_county295_ref_shoreline.geojson<br> us_county296_ref_shoreline.geojson<br> us_county297_ref_shoreline.geojson<br> us_county298_ref_shoreline.geojson<br> us_county299_ref_shoreline.geojson<br> us_county300_ref_shoreline.geojson<br> us_county301_ref_shoreline.geojson<br> us_county302_ref_shoreline.geojson<br> us_county303_ref_shoreline.geojson<br> us_county304_ref_shoreline.geojson<br> us_county305_ref_shoreline.geojson<br> us_county3069_ref_shoreline.geojson<br> us_county306_ref_shoreline.geojson<br> us_county307_ref_shoreline.geojson<br> us_county308_ref_shoreline.geojson<br> us_county309_ref_shoreline.geojson<br> us_county310_ref_shoreline.geojson<br> us_county311_ref_shoreline.geojson<br> us_county312_ref_shoreline.geojson<br> us_county313_ref_shoreline.geojson<br> us_county314_ref_shoreline.geojson<br> us_county315_ref_shoreline.geojson<br> us_county316_ref_shoreline.geojson<br> us_county317_ref_shoreline.geojson<br> us_county318_ref_shoreline.geojson<br> us_county319_ref_shoreline.geojson<br> us_county320_ref_shoreline.geojson<br> us_county321_ref_shoreline.geojson<br> us_county322_ref_shoreline.geojson<br> us_county323_ref_shoreline.geojson<br> us_county324_ref_shoreline.geojson<br> us_county325_ref_shoreline.geojson<br> us_county326_ref_shoreline.geojson<br> us_county327_ref_shoreline.geojson<br> us_county328_ref_shoreline.geojson<br> us_county329_ref_shoreline.geojson<br> us_county330_ref_shoreline.geojson<br> us_county331_ref_shoreline.geojson<br> us_county332_ref_shoreline.geojson<br> us_county333_ref_shoreline.geojson<br> us_county334_ref_shoreline.geojson<br> us_county335_ref_shoreline.geojson<br> us_county336_ref_shoreline.geojson<br> us_county337_ref_shoreline.geojson<br> us_county338_ref_shoreline.geojson<br> us_county339_ref_shoreline.geojson<br> us_county340_ref_shoreline.geojson<br> us_county341_ref_shoreline.geojson<br> us_county342_ref_shoreline.geojson<br> us_county343_ref_shoreline.geojson<br> us_county344_ref_shoreline.geojson<br> us_county345_ref_shoreline.geojson<br> us_county346_ref_shoreline.geojson<br> us_county347_ref_shoreline.geojson<br> us_county348_ref_shoreline.geojson<br> us_county349_ref_shoreline.geojson<br> us_county350_ref_shoreline.geojson<br> us_county351_ref_shoreline.geojson<br> us_county352_ref_shoreline.geojson<br> us_county353_ref_shoreline.geojson<br> us_county354_ref_shoreline.geojson<br> us_county416_ref_shoreline.geojson<br> us_county417_ref_shoreline.geojson<br> us_county418_ref_shoreline.geojson<br> us_county419_ref_shoreline.geojson<br> us_county420_ref_shoreline.geojson<br> us_county421_ref_shoreline.geojson<br> us_county422_ref_shoreline.geojson<br> us_county423_ref_shoreline.geojson<br> us_county685_ref_shoreline.geojson<br> us_county686_ref_shoreline.geojson<br> us_county700_ref_shoreline.geojson<br> us_county73_ref_shoreline.geojson<br> us_county74_ref_shoreline.geojson<br> us_county754_ref_shoreline.geojson<br> us_county79_ref_shoreline.geojson<br> us_county97_ref_shoreline.geojson</p>
LD matrices from the White British cohort in the UK Biobank in Zarr format
<p>This dataset contains the Linkage Disequilibrium (LD) matrices that were used in the analyses described in the manuscript:</p> <p><strong>Fast and Accurate Bayesian Polygenic Risk Modeling with Variational Inference</strong><br> Shadi Zabad, Simon Gravel, Yue Li<br> McGill University</p> <p>LD matrices record the SNP-by-SNP correlations in a given sample of individuals from a general population. In this case, we threshold the matrices so that we only record the correlations between SNPs that are at most 3 centi Morgan apart. These matrices record the SNP correlations in a random sample of 50,000 individuals from the White British cohort in the UK Biobank dataset. There is one matrix per autosomal chromosome (chr_1, chr_2, ..., chr_22). The matrices are stored in <a href="https://zarr.readthedocs.io/en/stable/">Zarr</a> format, a chunked on-disk array storage format that allows for multi-threaded read and write access.</p> <p>To access these matrices, consult the codebase of <a href="https://github.com/shz9/magenpy"><strong>magenpy</strong></a>, our custom python package with special data structures for processing these LD matrices.</p> <p>UPDATE (03/09/2022): We updated the matrices to add the reference allele attribute (A2) and we also now have one tar archive per chromosome.<br> </p>
IODP Expedition 351 Formation temperature
<p>Formation temperature was measured by the advanced piston corer temperature tool (APCT-3), Sediment Temperature Tool (SET), or sediment temperature pressure tool (SETP) and reduced to in situ temperature and (for SETP) pressure estimates. These data are compiled per instrument run and assigned to a core (the core cut with the APCT-3 cutting shoe or the core following the SET deployment).</p>
Trajectories and Code from "Small molecules targeting the disordered transactivation domain of the androgen receptor induce the formation of collapsed helical states" Zhu et al. 2022
<p>Trajectories, GROMACS input files, and analysis code from the manuscript "Small molecules targeting the disordered transactivation domain of the androgen receptor induce the formation of collapsed helical states" Zhu et al. 2022 (Nature Communications, In Press)</p> <p>https://www.biorxiv.org/content/10.1101/2021.12.23.474012v1.abstract</p>
The fungal ecology of the Brassington Formation (Middle Miocene) of Derbyshire, UK, and a new method for palaeoclimate reconstruction
<p>Köppen-Geiger climate class data used to reconstruct qualitative palaeoclimates. Two sheets in file. Sheet 1: Köppen-Geiger data used to reconstruct Middle Miocene Köppen-Geiger climate classes. Sheet 2: References supporting sheet 1.</p>
Wallops SuperDARN data in netCDF format (2022-Sep)
<p>2022-Sep Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.</p> <p>Note: The 16-antenna array used to generate this data was not using antennas 1, 5, and 6.</p> <p>The RST is available here: https://github.com/SuperDARN/rst</p> <p>The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.</p> <p>Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (<a href="http://vt.superdarn.org/tiki-index.php?page=Radar+Overview">SuperDARN Radar Overview</a>)</p> <p><strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong></p> <p>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'</p>
FIG. 21 in Fossil wood from the lower Miocene of Myanmar (Natma Formation): palaeoenvironmental and biogeographic implications
FIG. 21. — Comparison between Eocene (Licht et al. 2014, 2015) and Miocene (this study) forest assemblage and diversity of Myanmar with the list of related fossil genera and supposed forest types they belong to. Underlined names are genera found in both formations. Yellow stars mark the schematic position of sampling sites.
FIG. 16 in Fossil wood from the lower Miocene of Myanmar (Natma Formation): palaeoenvironmental and biogeographic implications
FIG. 16. — Shoreoxylon cf. sumatraense Du, MNHN.F.50193: A, Ts, vessel often in groups, sometimes in clusters (arrows); B, Ts, long tangential lines of secretory canals (arrows) close to each other; C, D, Tls, 1-4-seriate rays; E, Tls, 3-seriate rays with a uniseriate row of six marginal cells (white arrow), abundant parenchyma (black arrow), 4-8 cells per strand; F, Rls, vessel-ray pits irregular in shape, simple with reduced borders (arrows); G, Ts, synthetic drawing of the transversal section (with only some vessels and rays displayed), visible bands of parenchyma as grey lines and recognized secretory canals as red dots, arranged mostly in long and closely spaced tangential lines; H, Rls, vasicentric tracheids (arrows); I, Rls, heterocellular ray with square or upright marginal cells (arrows). Scale bars: G, 1 cm; A, 1 mm; C, 500 µm; B, 330 µm; D, I, 200 µm; E, H, 100 µm; F, 50 µm. Abbreviations: see Fig. 2.
FIG. 13 in Fossil wood from the lower Miocene of Myanmar (Natma Formation): palaeoenvironmental and biogeographic implications
FIG. 13. — Dryobalanoxylon cf. javanense (Kräusel) Den Berger, MNHN.F.50190: A, Ts, Vessels seemingly exclusively solitary and long tangential line of secretory canals embedded in parenchyma bands (between arrows); B, Ts, synthetic drawing of the transversal section (with only some vessels and rays displayed); visible bands of parenchyma as grey lines and secretory canals as red dots, arranged mostly in long tangential lines; C, Ts, tyloses in vessels (arrow); D, Tls 1-6 seriate rays with some sheath cells (white arrows), vasicentric tracheids (black arrows) and fibre-tracheids (grey arrow); E, Ts, detail of secretory canals embedded in tangential bands of parenchyma; F, Rls, simple vessel-ray pits with reduced borders in irregular shapes; G, Rls, silica bodies (?) in ray cells; H, Rls, heterocellular ray with mostly 1-4 rows of square or upright marginal cells. Scale bars: B, 1 cm; A, 1 mm; C-E, H, 200 µm; F-G, 50 µm.
FIG. 12 in Fossil wood from the lower Miocene of Myanmar (Natma Formation): palaeoenvironmental and biogeographic implications
FIG. 12. — Dipterocarpoxylon cf. jammuense Guleria, Gupta & Srivastava, MNHN.F.50189: A, Ts, seemingly exclusively solitary vessels, vasicentric parenchyma, small pores interpreted as solitary secretory canals or in short lines (arrows); B, D, Ts, short lines of secretory canals (arrows); C, Tls, 1-6-seriate rays, with rows of uniseriate marginal cells up to 19 cells, frequent uniseriate rays and sheath cells present (arrow); E, Ts, vessel puggled with tyloses, surrounded par vasicentric parenchyma (black arrow), secretory canals solitary or in short lines, surrounded by parenchyma (white arrow); F, Rls, heterocellular rays with square or upright cells (black arrow) and procumbent cells (white arrow) mixed throughout the rays because of the presence of sheath cells, uniseriate rays and long row of marginal cells; G, Tls, vasicentric tracheids (arrow). Scale bars: A, B, 1 mm; C-F, 200 µm; G, 100 µm. Abbreviations: see Fig. 2.
FIG. 11 in Fossil wood from the lower Miocene of Myanmar (Natma Formation): palaeoenvironmental and biogeographic implications
FIG. 11. — Anisopteroxylon sp., MNHN.F.50188: A, Ts, strongly compressed wood, poorly distinguishable vessels, seemingly exclusively solitary, small pores that could be solitary secretory canals (arrows); B, Tls, simple perforation plates, vasicentric tracheids (arrows); C, D, Tls, 1-7-seriate rays with continuous sheath cells all around multiseriate rays (arrow); E, Rls, heterocellular rays with procumbent cells in median portion (white arrow) and square or upright marginal cells (black arrow), sometimes appearing with both types mixed due to sheath cells; F, Rls, silica bodies (?) in ray cells. Scale bars: A, C, 500 µm; B, D-E, 200 µm; F, 100 µm. Abbreviations: see Fig. 2.
FIG. 14 in Fossil wood from the lower Miocene of Myanmar (Natma Formation): palaeoenvironmental and biogeographic implications
FIG. 14. — Dryobalanoxylon sp., MNHN.F.50191: A, Ts, mostly solitary vessels and vasicentric to slightly aliform parenchyma, short line of secretory canals embedded in long tangential bands of parenchyma; B, Ts, synthetic drawing of the transversal section (with only some vessels and rays displayed), visible bands of parenchyma as grey lines and recognized secretory canals as red dots; C, Tls, vasicentric tracheids (arrows); D, Tls, simple perforation plates (arrows), 2-4 seriate homocellular to weakly heterocellular rays with a storied tendency at some places (segments); E, Tls, detail of a 4-seriate ray; F, Rls, heterocellular ray with one row of square marginal cells (arrow); G, Ts, solitary vessels with tyloses and surrounded by vasicentric to slightly aliform parenchyma. Scale bars: B, 1 cm; A, 500 µm; D, 250µm; F-G, 200 µm; C, E, 100 µm. Abbreviations: see Fig. 2.
FIG. 8 in Fossil wood from the lower Miocene of Myanmar (Natma Formation): palaeoenvironmental and biogeographic implications
FIG. 8. — Pahudioxylon bankurensis Chowdhury, Ghosh & Kazmi, MNHN.F.50183: A, Ts, solitary vessels or in radial multiples of 2-4, aliform parenchyma with marginal crystals (black arrow) and marginal parenchyma (white arrow); B, Ts, detail of aliform parenchyma with crystals in marginal cells; C, Tls, alternate intervessel pits, probably vestured (arrow); D, Tls, rays with storied tendency (arrows); E, Tls, 2-3 seriate, not storied rays with crystalliferous parenchyma (black arrow), strand of parenchyma made of 4 cells (white arrow); F, Rls, homocellular ray; G, Rls, sometimes but rarely crystals in marginal ray cells (arrow). Scale bars: A, 1 mm; D, 500 µm; B, E, 200 µm; F-G, 150 µm; C, 20 µm. Abbreviations: see Fig. 2.
FIG. 9 in Fossil wood from the lower Miocene of Myanmar (Natma Formation): palaeoenvironmental and biogeographic implications
FIG. 9. — Pahudioxylon cf. bankurensis Chowdhury, Ghosh & Kazmi, MNHN.F.50184: A, Ts, mostly solitary vessels, aliform parenchyma with crystals in marginal cells (black arrow), marginal parenchyma (bottom) and diffuse parenchyma (white arrow); B, Ts, detail of diffuse parenchyma (white arrow), often in contact with rays; C, Tls, storied rays in some parts of the section; D, Tls, 1-3-seriate homocellular rays in a non-storied part of the section; E, Rls, crystals in parenchyma strands, the strand on the left being diffuse parenchyma; F, Rls, homocellular ray; G, Tls, alternate intervessel pits, apparently vestured. Scale bars: A, 1 mm; C, 500 µm; B, D-E, 200 µm; F, 100 µm; G, 50 µm. Abbreviations: see Fig. 2.
FIG. 10 in Fossil wood from the lower Miocene of Myanmar (Natma Formation): palaeoenvironmental and biogeographic implications
FIG. 10. — Artocarpoxylon kartikcherraensis Prakash & Lalitha, MNHN.F.50187: A, Ts, sparse vessels, vasicentric parenchyma sometimes slightly aliform; B: Ts, detail of vasicentric parenchyma and vessels plugged with tyloses; C, Tls, alternate intervessel pits with lenticular appertures; D, Tls, 1-6 seriate rays with upright marginal cells; E, Tls, 1-6 seriate rays with sheath cells (black arrow) and end-to-end fusions (white arrow); F, Tls, latex tube in ray, mostly of the same size as ray cells (arrow); G, Rls, view of a latex tube in ray, recognizable as a continuous black line in radial section; H, Rls, heterocellular ray with 1-4 rows of marginal cells, sometimes appearing with upright and procumbent cells mixed due to sheath cells or end-to-end fusions. Scale bars: A, 1 mm; D, 500 µm; B, E, G-H, 200 µm; F, 100 µm; C, 50µm. Abbreviations: see Fig. 2.
FIG. 6 in Fossil wood from the lower Miocene of Myanmar (Natma Formation): palaeoenvironmental and biogeographic implications
FIG. 6. — Koompassioxylon elegans Kramer, MNHN.F.50180 (A-E, G), MNHN.F.50181 (F): A, Ts, vessel size and groups, aliform parenchyma with pointed wings and marginal parenchyma sometimes merged with small vessels (arrow); B, Ts, detail of winged-aliform parenchyma; C, Tls, non-vestured,alternate and polygonal intervessel pits; D, Tls, 2-3-seriate rays with crystalliferous parenchyma (arrow); E, Tls, detail of the chambered crystalliferous parenchyma (arrow); F: storied ray tendency, mostly 2-3-seriate rays; G, Rls, heterocellular rays with crystals in upright (sometimes subdivided) marginal cells (arrow). Scale bars: A, 1 mm; F, 500 µm; B, D-E, G, 200 µm; C, 20 µm. Abbreviations: see Fig. 2.
FIG. 5 in Fossil wood from the lower Miocene of Myanmar (Natma Formation): palaeoenvironmental and biogeographic implications
FIG. 5. — Cynometroxylon parainaequifolium Prakash, MNHN.F.50176 (A-C, E), MNHN.F.50177 (D, F), MNHN.F.50178 (G): A, Ts, vessels, parenchyma alternately banded, aliform and vasicentric, growth limits between arrows; B, Tls, 1-3 seriate rays, non-septate fibres; C, Rls, heterocellular rays with 1-2 rows of marginal cells (arrows); D, Tls, mostly 2-seriate rays with parenchyma sometimes crystalliferous (arrow); E, Tls, alternate intervessel pits; F, Ts, banded and aliform parenchyma; G: Ts, banded and aliform parenchyma. Scale bars: A, 1 mm; F-G, 500 µm; B, D, 200 µm; C, 100 µm; E, 50 µm. Abbreviations: see Fig. 2.
FIG. 3 in Fossil wood from the lower Miocene of Myanmar (Natma Formation): palaeoenvironmental and biogeographic implications
FIG. 3. — Albizinium eolebbekianum Prakash, MNHN.F.50172: A, Ts, vessels and parenchyma arrangement, marginal parenchyma band (arrow); B, Ts, lozengealiform parenchyma, sometimes confluent, fibres radialy aligned; C, Tls, alternate intervessel pits, simple perforation plates; D, Tls, 1-3-seriate rays, septa (black arrows) and crystalliferous parenchyma (white arrow); E, Tls, detail of a septate fibre; F, Rls, homocellular ray. Scale bars: A, 1 mm; B, 500 µm; D, 200 µm; C, F, 100 µm; E, 25 µm. Abbreviations: see Fig. 2.
FIG. 4 in Fossil wood from the lower Miocene of Myanmar (Natma Formation): palaeoenvironmental and biogeographic implications
FIG. 4. — Cynometroxylon holdeniae (Gupta) Prakash & Bande, MNHN.F.50174 (A, D-G), MNHN.F.50173 (B, C): A, Ts, banded parenchyma and vessel arrangement; B, Ts, detail of the wounded part of the wood with irregular pattern of parenchyma, vessels are absent; C, Ts, wounded part (white segment) in between the normal wood; D, Ts, detail of banded parenchyma 2-11 cells wide bands; E, Tls, heterocellular and mostly 2-seriate rays; F, Tls, minute alternate intervessel pits; G, Rls, heterocellular rays with 1-2 rows of marginal ray cells. Scale bars: A, C, 1 mm; B, D, E, G 200 µm, F, 50 µm. Abbreviations: see Fig. 2.
FIG. 17 in Fossil wood from the lower Miocene of Myanmar (Natma Formation): palaeoenvironmental and biogeographic implications
FIG. 17. — Shoreoxylon sp. 1, MNHN.F.50194: A, Ts, vessels often grouped, sometimes in clusters (white arrows), abundant parenchyma, aliform to aliformconfluent, short lines and diffuse secretory canals (black arrows); B, C, Tls, 1-5-seriate rays, tyloses (arrow); D, Ts, zoom in on secretory canals in short lines and vessels in clusters with vasicentric tracheids or small vessels; E, Rls, weakly heterocellular rays with one row of larger procumbent cells (white arrow) or square to upright cells (black arrow); F, Tls, vasicentric tracheid (black arrow) and vasicentric parenchyma (white arrow); G, Ts synthetic drawing of the transverse section (only a few vessels and rays are displayed); secretory canals are displayed as red dots, very few are preserved. Scale bars: A, 1 mm; B, F, 200 µm; C, E, 500 µm; D, 250 µm; G, 1 cm. Abbreviations: see Fig. 2.
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