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Dataset for: Bedding scale correlation on Mars in western Arabia Terra
<p>Dataset for: Bedding scale correlation on Mars in western Arabia Terra</p> <p>A.M. Annex et al.</p> <p>Data Product Overview</p> <p>This repository contains all source data for the publication. Below is a description of each general data product type, software that can load the data, and a list of the file names along with the short description of the data product.</p> <p><strong>HiRISE Digital Elevation Models (DEMs).</strong></p> <p>HiRISE DEMs produced using the Ames Stereo Pipeline are in geotiff format ending with ‘*X_0_DEM-adj.tif’, the “X” prefix denotes the spatial resolution of the data product in meters. Geotiff files are able to be read by free GIS software like QGIS.</p> <p><strong>HiRISE map-projected imagery (DRGs).</strong></p> <p>Map-projected HiRISE images produced using the Ames Stereo Pipeline are in geotiff format ending with ‘*0_Y_DRG-cog.tif’, the “Y” prefix denotes the spatial resolution of the data product in centimeters. Geotiff files are able to be read by free GIS software like QGIS. The DRG files are formatted as COG-geotiffs for enhanced compression and ease of use.</p> <p><strong>3D Topography files (.ply).</strong></p> <p>Traingular Mesh versions of the HiRISE/CTX topography data used for 3D figures in “.ply” format. Meshes are greatly geometrically simplified from source files. Topography files can be loaded in a variety of open source tools like ParaView and Meshlab. Textures can be applied using embedded texture coordinates.</p> <p><strong>3D Geological Model outputs (.vtk)</strong></p> <p>VTK 3D file format files of model output over the spatial domain of each study site. VTK files can be loaded by ParaView open source software. The “block” files contain the model evaluation over a regular grid over the model extent. The “surfaces” files contain just the bedding surfaces as interpolated from the “block” files using the marching cubes algorithm.</p> <p><strong>Geological Model geologic maps (geologic_map.tif).</strong></p> <p>Geologic maps from geological models are standard geotiffs readable by conventional GIS software. The maximum value for each geologic map is the “no-data” value for the map. Geologic maps are calculated at a lower resolution than the topography data for storage efficiency.</p> <p><strong>Beds Geopackage File (.gpkg).</strong></p> <p>Geopackage vector data file containing all mapped layers and associated metadata including dip corrected bed thickness as well as WKB encoded 3D linestrings representing the sampled topography data to which the bedding orientations were fit. Geopackage files can be read using GIS software like QGIS and ArcGIS as well as the OGR/GDAL suite. A full description of each column in the file is provided below.</p> <table> <thead> <tr> <th>Column</th> <th>Type</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td>uuid</td> <td>String</td> <td>unique identifier</td> </tr> <tr> <td>stratum_order</td> <td>Real</td> <td>0-indexed bed order</td> </tr> <tr> <td>section</td> <td>Real</td> <td>section number</td> </tr> <tr> <td>layer_id</td> <td>Real</td> <td>bed number/index</td> </tr> <tr> <td>layer_id_bk</td> <td>Real</td> <td>unused backup bed number/index</td> </tr> <tr> <td>source_raster</td> <td>String</td> <td>dem file path used</td> </tr> <tr> <td>raster</td> <td>String</td> <td>dem file name</td> </tr> <tr> <td>gsd</td> <td>Real</td> <td>ground sampling distant for dem</td> </tr> <tr> <td>wkn</td> <td>String</td> <td>well known name for dem</td> </tr> <tr> <td>rtype</td> <td>String</td> <td>raster type</td> </tr> <tr> <td>minx</td> <td>Real</td> <td>minimum x position of trace in dem crs</td> </tr> <tr> <td>miny</td> <td>Real</td> <td>minimum y position of trace in dem crs</td> </tr> <tr> <td>maxx</td> <td>Real</td> <td>maximum x position of trace in dem crs</td> </tr> <tr> <td>maxy</td> <td>Real</td> <td>maximum y position of trace in dem crs</td> </tr> <tr> <td>method</td> <td>String</td> <td>internal interpolation method</td> </tr> <tr> <td>sl</td> <td>Real</td> <td>slope in degrees</td> </tr> <tr> <td>az</td> <td>Real</td> <td>azimuth in degrees</td> </tr> <tr> <td>error</td> <td>Real</td> <td>maximum error ellipse angle</td> </tr> <tr> <td>stdr</td> <td>Real</td> <td>standard deviation of the residuals</td> </tr> <tr> <td>semr</td> <td>Real</td> <td>standard error of the residuals</td> </tr> <tr> <td>X</td> <td>Real</td> <td>mean x position in CRS</td> </tr> <tr> <td>Y</td> <td>Real</td> <td>mean y position in CRS</td> </tr> <tr> <td>Z</td> <td>Real</td> <td>mean z position in CRS</td> </tr> <tr> <td>b1</td> <td>Real</td> <td>plane coefficient 1</td> </tr> <tr> <td>b2</td> <td>Real</td> <td>plane coefficient 2</td> </tr> <tr> <td>b3</td> <td>Real</td> <td>plane coefficient 3</td> </tr> <tr> <td>b1_se</td> <td>Real</td> <td>standard error plane coefficient 1</td> </tr> <tr> <td>b2_se</td> <td>Real</td> <td>standard error plane coefficient 2</td> </tr> <tr> <td>b3_se</td> <td>Real</td> <td>standard error plane coefficient 3</td> </tr> <tr> <td>b1_ci_low</td> <td>Real</td> <td>plane coefficient 1 95% confidence interval low</td> </tr> <tr> <td>b1_ci_high</td> <td>Real</td> <td>plane coefficient 1 95% confidence interval high</td> </tr> <tr> <td>b2_ci_low</td> <td>Real</td> <td>plane coefficient 2 95% confidence interval low</td> </tr> <tr> <td>b2_ci_high</td> <td>Real</td> <td>plane coefficient 2 95% confidence interval high</td> </tr> <tr> <td>b3_ci_low</td> <td>Real</td> <td>plane coefficient 3 95% confidence interval low</td> </tr> <tr> <td>b3_ci_high</td> <td>Real</td> <td>plane coefficient 3 95% confidence interval high</td> </tr> <tr> <td>pca_ev_1</td> <td>Real</td> <td>pca explained variance ratio pc 1</td> </tr> <tr> <td>pca_ev_2</td> <td>Real</td> <td>pca explained variance ratio pc 2</td> </tr> <tr> <td>pca_ev_3</td> <td>Real</td> <td>pca explained variance ratio pc 3</td> </tr> <tr> <td>condition_number</td> <td>Real</td> <td>condition number for regression</td> </tr> <tr> <td>n</td> <td>Integer64</td> <td>number of data points used in regression</td> </tr> <tr> <td>rls</td> <td>Integer(Boolean)</td> <td>unused flag</td> </tr> <tr> <td>demeaned_regressions</td> <td>Integer(Boolean)</td> <td>centering indicator</td> </tr> <tr> <td>meansl</td> <td>Real</td> <td>mean section slope</td> </tr> <tr> <td>meanaz</td> <td>Real</td> <td>mean section azimuth</td> </tr> <tr> <td>angular_error</td> <td>Real</td> <td>angular error for section</td> </tr> <tr> <td>mB_1</td> <td>Real</td> <td>mean plane coefficient 1 for section</td> </tr> <tr> <td>mB_2</td> <td>Real</td> <td>mean plane coefficient 2 for section</td> </tr> <tr> <td>mB_3</td> <td>Real</td> <td>mean plane coefficient 3 for section</td> </tr> <tr> <td>R</td> <td>Real</td> <td>mean plane normal orientation vector magnitude</td> </tr> <tr> <td>num_valid</td> <td>Integer64</td> <td>number of valid planes in section</td> </tr> <tr> <td>meanc</td> <td>Real</td> <td>mean stratigraphic position</td> </tr> <tr> <td>medianc</td> <td>Real</td> <td>median stratigraphic position</td> </tr> <tr> <td>stdc</td> <td>Real</td> <td>standard deviation of stratigraphic index</td> </tr> <tr> <td>stec</td> <td>Real</td> <td>standard error of stratigraphic index</td> </tr> <tr> <td>was_monotonic_increasing_layer_id</td> <td>Integer(Boolean)</td> <td>monotonic layer_id after projection to stratigraphic index</td> </tr> <tr> <td>was_monotonic_increasing_meanc</td> <td>Integer(Boolean)</td> <td>monotonic meanc after projection to stratigraphic index</td> </tr> <tr> <td>was_monotonic_increasing_z</td> <td>Integer(Boolean)</td> <td>monotonic z increasing after projection to stratigraphic index</td> </tr> <tr> <td>meanc_l3sigma_std</td> <td>Real</td> <td>lower 3-sigma meanc standard deviation</td> </tr> <tr> <td>meanc_u3sigma_std</td> <td>Real</td> <td>upper 3-sigma meanc standard deviation</td> </tr> <tr> <td>meanc_l2sigma_sem</td> <td>Real</td> <td>lower 3-sigma meanc standard error</td> </tr> <tr> <td>meanc_u2sigma_sem</td> <td>Real</td> <td>upper 3-sigma meanc standard error</td> </tr> <tr> <td>thickness</td> <td>Real</td> <td>difference in meanc</td> </tr> <tr> <td>thickness_fromz</td> <td>Real</td> <td>difference in Z value</td> </tr> <tr> <td>dip_cor</td> <td>Real</td> <td>dip correction</td> </tr> <tr> <td>dc_thick</td> <td>Real</td> <td>thickness after dip correction</td> </tr> <tr> <td>dc_thick_fromz</td> <td>Real</td> <td>z thickness after dip correction</td> </tr> <tr> <td>dc_thick_dev</td> <td>Integer(Boolean)</td> <td>dc_thick <= total mean dc_thick</td> </tr> <tr> <td>dc_thick_fromz_dev</td> <td>Integer(Boolean)</td> <td>dc_thick <= total mean dc_thick_fromz</td> </tr> <tr> <td>thickness_fromz_dev</td> <td>Integer(Boolean)</td> <td>dc_thick <= total mean thickness_fromz</td> </tr> <tr> <td>dc_thick_dev_bg</td> <td>Integer(Boolean)</td> <td>dc_thick <= section mean dc_thick</td> </tr> <tr> <td>dc_thick_fromz_dev_bg</td> <td>Integer(Boolean)</td> <td>dc_thick <= section mean dc_thick_fromz</td> </tr> <tr> <td>thickness_fromz_dev_bg</td> <td>Integer(Boolean)</td> <td>dc_thick <= section mean thickness_fromz</td> </tr> <tr> <td>slr</td> <td>Real</td> <td>slope in radians</td> </tr> <tr> <td>azr</td> <td>Real</td> <td>azimuth in radians</td> </tr> <tr> <td>meanslr</td> <td>Real</td> <td>mean slope in radians</td> </tr> <tr> <td>meanazr</td> <td>Real</td> <td>mean azimuth in radians</td> </tr> <tr> <td>angular_error_r</td> <td>Real</td> <td>angular error of section in radians</td> </tr> <tr> <td>pca_ev_1_ok</td> <td>Integer(Boolean)</td> <td>pca_ev_1 < 99.5%</td> </tr> <tr> <td>pca_ev_2_3_ratio</td> <td>Real</td> <td>pca_ev_2/pca_ev_3</td> </tr> <tr> <td>pca_ev_2_3_ratio_ok</td> <td>Integer(Boolean)</td> <td>pca_ev_2_3_ratio > 15</td> </tr> <tr> <td>xyz_wkb_hex</td> <td>String</td> <td>hex encoded wkb geometry for all points used in regression</td> </tr> </tbody> </table> <p><strong>Geological Model input files (.gpkg).</strong></p> <p>Four geopackage (.gpkg) files represent the input dataset for the geological models, one per study site as specified in the name of the file. The files contain most of the columns described above in the Beds geopackage file, with the following additional columns. The final seven columns (azimuth, dip, polarity, formation, X, Y, Z) constituting the actual parameters used by the geological model (GemPy). </p> <table> <thead> <tr> <th>Column</th> <th>Type</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td>azimuth_mean</td> <td>String</td> <td>Mean section dip azimuth </td> </tr> <tr> <td>azimuth_indi</td> <td>Real</td> <td>Individual bed azimuth</td> </tr> <tr> <td>azimuth</td> <td>Real</td> <td>Azimuth of trace used by the geological model</td> </tr> <tr> <td>dip</td> <td>Real</td> <td>Dip for the trace used by the geological mode</td> </tr> <tr> <td>polarity</td> <td>Real</td> <td>Polarity of the dip vector normal vector </td> </tr> <tr> <td>formation</td> <td>String</td> <td>String representation of layer_id required for GemPy models</td> </tr> <tr> <td>X</td> <td>Real</td> <td>X position in the CRS of the sampled point on the trace</td> </tr> <tr> <td>Y</td> <td>Real</td> <td>Y position in the CRS of the sampled point on the trace</td> </tr> <tr> <td>Z</td> <td>Real</td> <td>Z position in the CRS of the sampled point on the trace</td> </tr> </tbody> </table> <p><strong>Stratigraphic Column Files (.gpkg).</strong></p> <p>Stratigraphic columns computed from the Geological Models come in three kinds of Geopackage vector files indicated by the postfixes <code>_sc</code>, <code>rbsc</code>, and <code>rbssc</code>. File names include the wkn site name.</p> <p><strong>sc (_sc.gpkg).</strong></p> <p>Geopackage vector data file containing measured bed thicknesses from Geological Model joined with corresponding Beds Geopackage file, subsetted partially. The columns largely overlap with the the list above for the Beds Geopackage but with the following additions</p> <table> <thead> <tr> <th>Column</th> <th>Type</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td>X</td> <td>Real</td> <td>X position of thickness measurement</td> </tr> <tr> <td>Y</td> <td>Real</td> <td>Y position of thickness measurement</td> </tr> <tr> <td>Z</td> <td>Real</td> <td>Z position of thickness measurement</td> </tr> <tr> <td>formation</td> <td>String</td> <td>Model required string representation of bed index</td> </tr> <tr> <td>bed thickness (m)</td> <td>Real</td> <td>difference of bed elevations</td> </tr> <tr> <td>azimuths</td> <td>Real</td> <td>azimuth as measured from model in degrees</td> </tr> <tr> <td>dip_degrees</td> <td>Real</td> <td>dip as measured from model in degrees</td> </tr> <tr> <td>Dip corrected bed thickness (m)</td> <td>Real</td> <td>dip corrected bed thickness in meters</td> </tr> <tr> <td>lower_point</td> <td>Real</td> <td>lower bed elevation in meters</td> </tr> <tr> <td>upper_point</td> <td>Real</td> <td>upper bed elevation in meters</td> </tr> <tr> <td>_formation</td> <td>Real</td> <td>integer number of formation string</td> </tr> <tr> <td>layer_iid</td> <td>Integer64</td> <td>integer number of layer_id</td> </tr> <tr> <td>bascom_baryte_diff_bt</td> <td>Real</td> <td>diff. in thickness from geomodel measurements</td> </tr> <tr> <td>bascom_baryte_diff_dcbt</td> <td>Real</td> <td>diff. in dip cor. thicknesses ’’</td> </tr> </tbody> </table> <p><strong>rbsc (rbsc.gpkg)</strong></p> <p>Geopackage vector file containing virtual boreholes with high resolution vertical sampling placed in a regular grid in the spatial extent of the DEM with the following columns.</p> <table> <thead> <tr> <th>Column</th> <th>Type</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td>formation</td> <td>String</td> <td>Model required string representation of bed index</td> </tr> <tr> <td>pred_z</td> <td>Real</td> <td>Z value of bedding plane</td> </tr> <tr> <td>layer_id</td> <td>Integer64</td> <td>Bed Index from Beds Geopackage file</td> </tr> <tr> <td>section</td> <td>Real</td> <td>section number</td> </tr> <tr> <td>thickness</td> <td>Real</td> <td>thickness of the layer predicted by model</td> </tr> <tr> <td>geom</td> <td>Point</td> <td>contains X,Y,Z of point in dem CRS</td> </tr> </tbody> </table> <p><strong>rbssc (rbssc.gpkg)</strong></p> <p>Geopackage vector file containing virtual boreholes with high resolution vertical sampling placed at the centroids for each section within the spatial extent of the DEM with the following columns.</p> <table> <thead> <tr> <th>Column</th> <th>Type</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td>formation</td> <td>String</td> <td>Model required string representation of bed index</td> </tr> <tr> <td>pred_z</td> <td>Real</td> <td>Z value of bedding plane</td> </tr> <tr> <td>layer_id</td> <td>Integer64</td> <td>Bed Index from Beds Geopackage file</td> </tr> <tr> <td>section</td> <td>Real</td> <td>section number</td> </tr> <tr> <td>thickness</td> <td>Real</td> <td>thickness of the layer predicted by model</td> </tr> <tr> <td>geom</td> <td>Point</td> <td>contains X,Y,Z of point in dem CRS</td> </tr> </tbody> </table> <p><strong>crescent_shapes.gpkg</strong></p> <p>Geopackage vector file containing the measurements of the crescent features.</p> <table> <thead> <tr> <th>Column</th> <th>Type</th> <th>Description</th> </tr> </thead> <tbody> <tr> <td>azimuth</td> <td>Real</td> <td>Azimuth of the crescent feature in degrees</td> </tr> </tbody> </table>
Cardiac Patient Bed Head Ticket Dataset
<p>This data set comprises the data which are manually extracted from the Bed Head Tickets(BHT) of patients who transferred from the Emergency Treatment Unit (ETU) to the cardiac ward in Teaching Hospital Karapitiya Galle. The data set contains 19 features as follows</p> <ol> <li>Systolic Blood Pressure (SBP) </li> <li>Diastolic Blood Pressure (DBP) </li> <li>Heart Rate (HR) </li> <li>Respiratory Rate (RR) </li> <li>Body temperature (BT) </li> <li>SpO<sub>2</sub> </li> <li>Age </li> <li>Gender </li> <li>Glasgow Coma Scale (GCS) </li> <li>Sodium Level (Na) </li> <li>Potassium Level (K) </li> <li>Chloride Level (Cl) </li> <li>Urea </li> <li>Creatinine </li> <li>Consumption of alcohol </li> <li>Smoking status</li> <li>Family History of Ischemic Hear Diseases (FHIHD) </li> <li>Triage Score </li> <li>Outcome</li> </ol> <p> </p>
High-frequency observations of overwash water and bed elevations from five MeOw (Measuring Overwash) stations: Smith Island, VA, August-November 2019
Water and bed surface elevation measurements from five MeOw (Measuring Overwash) stations installed on Smith Island, VA, from 21 August 2019 to 22 November 2019. The five MeOw stations consist of one ultrasonic distance sensor inside a stilling well to measure water levels, and a second attached to an arm extending outwards from the well to measure the elevation of the sediment surface (when dry) or the water surface (when inundated). Note: Station MeOw2 was damaged and produced no data, and so is not included in this dataset.
DeepBedMap: A super-resolution neural network created bed topography of Antarctica
<p>Going beyond BEDMAP2 using a super resolution deep neural network.</p> <p>deepbedmap_v1.1.0.zip: Python code for the DeepBedMap Super-Resolution Generative Adversarial Network.</p> <p>deepbedmap_dem.tif: Digital Elevation Model (250 m spatial resolution) in GeoTiff format, using Antarctic Polar Stereographic Projection (EPSG:3031).</p> <p>srgan_generator_model_weights.npz: The Generator neural network weights/parameters as a NumPy zip file.</p> <p> </p>
X-ray computed tomography of bedded halite and halite crystals from the Bonneville Salt Flats
<p>X-ray computed tomography of bedded halite and halite crystals from the Bonneville Salt Flats, Utah. </p>
Bathymetry of Large, Straight and Immobile bed-forms found in the Great South Channel (2015 - 2017)
<p>Digital Bathymetry produced from the raw data set collected with a Reson Seabat 7125 Multibeam echo-sounder. <br> The grid cell size is 1 m×1m. The area is a representative sample of the Great South Channel seafloor describing Large, Straight, and Immobile bedforms (LSI).<br> The survey data were collected during the 2015 and 2017 - NOAA annual federal Sea Scallop Survey on board R/V Hugh Sharp, operated by the University of Delaware, and funded by the Improve a Stock Assessment Program of the NOAA Northeast National Marine Fisheries Service (NEMFS)<br> The data processing was supported by NOAA GRANT NA15NOS400002000.</p>
DEM simulations of bi-disperse beds during bedload transport
<p>This depository contains the data of all DEM simulations used in the publication Chassagne, R., Frey, P., Maurin, R., and Chauchat, J. Mobility of bidisperse mixtures during bedload transport. Physical Review Fluids, 5(11):114307. doi:10.1103/PhysRevFluids.5.114307, as well as post processing scripts to use the data.</p> <p>The simulations are located in seven folders, Monodisperse/ (mondisperse simulations where the fluid forcing is varied), N0.5/ (simulations with 0.5 layer of large particles above a small particle bed and or different fluid forcing), N1/ (simulations with 1 layer of large particles above a small particle bed and or different fluid forcing), N2/, N3/, N4/ and sizeRatio (2 layers of large particles, fixed fluid forcing but the diameter of the underlying small particles is varied). The data of each simulations are contained in separate subfolders named after the simulation. For example, H8Sh0.45/ corresponds to a monodisperse simulation with a bedheight of 8dl (dl is the large particle diameter) and a shields number of 0.45. H10N2R2Sh0.7/ corresponds to a bidisperse simulation with a bed height of 10dl, 2 layers of large particles, a size ratio of 2 between large and small particles and a shields number of 0.7. For each simulation, the time data are saved in data.hdf5 and averaged data in average.hdf5. A GeomParam.txt file is also in each folder. It contains information of the simulation that the post processing programm will read.</p> <p>The python script used to initiate the YADE-DEM simulation is also given for information (it contains all parameters of the simulation). The post-processing programm has been coded in python2.7 with an oriented-object procedure. The h5py package is necessary to read the .hdf5 files. The scripts do not work in python3, but can be very easily adapted if necessary (you only have to modify the "print" functions). The scripts are available in ScriptsPP/ and are organized as follow. For bidisperse simualtions, a mother class in SegregationPP and two child classes SegFull (to load the full time data set) and SegMean (to load only average data). For monodisperse simualtions, a mother class in MonodispersePP and two child classes MonoFull (to load the full time data set) and MonoMean (to load only average data). Two scripts examplePP1.py and examplePP2.py are proposed and show how to manipulate theses classes and the data.</p>
FIG. 1. — River bed forest along trail A in Updated checklist of French Guianan Asilidae (Diptera) with a focus on the Mitaraka expedition
FIG. 1. — River bed forest along trail A in tropical lowland rainforest at Mitaraka (photo: Marc Pollet).
FIG. 15 in Ostracods from the 'Raibl Beds' (Carnian, Late Triassic) of Belca section in Karavanke Mountains, northwestern Slovenia
FIG. 15. — Circular diagrams of faunal composition of ostracod assemblages from examined samples of the Belca section, Karavanke Mountains, northwestern Slovenia, Carnian, Late Triassic.
FIG. 10 in Ostracods from the 'Raibl Beds' (Carnian, Late Triassic) of Belca section in Karavanke Mountains, northwestern Slovenia
FIG. 10. — Height/Length scatter plots of Issacharella bisulcata Kozur, 1972 emend. Kristan-Tollmann in Kristan-Tollmann et al. (1991b). The dimensions of right and left valves of complete carapaces are linked.
FIG. 12 in Ostracods from the 'Raibl Beds' (Carnian, Late Triassic) of Belca section in Karavanke Mountains, northwestern Slovenia
FIG. 12. — Height/Length scatter plots of Leviella bogschi Kozur, 1972. The dimensions of right and left valves of complete carapaces are linked.
FIG. 2 in Ostracods from the 'Raibl Beds' (Carnian, Late Triassic) of Belca section in Karavanke Mountains, northwestern Slovenia
FIG. 2. — Schematic lithostratigraphic column of the Triassic formations in the KoŠuta Nappe and in Hahnkogel Unit (modified from Kolar-JurkovŠek et al. 2005).
FIG. 14. — A in Ostracods from the 'Raibl Beds' (Carnian, Late Triassic) of Belca section in Karavanke Mountains, northwestern Slovenia
FIG. 14. — A, individual rarefaction curves, B, diversity indices (Shannon-Wiener and Simpson) of ostracods assemblages from the Belca section, Karavanke Mountains, northwestern Slovenia, Carnian, Late Triassic.
FIG. 1 in Ostracods from the 'Raibl Beds' (Carnian, Late Triassic) of Belca section in Karavanke Mountains, northwestern Slovenia
FIG. 1. — Geographical map of the studied area in the southern Karavanke Mountains, northwestern Slovenia. The star shows the position of the Belca section.
FIG. 13 in Ostracods from the 'Raibl Beds' (Carnian, Late Triassic) of Belca section in Karavanke Mountains, northwestern Slovenia
FIG. 13. — Height/Length scatter plots of Leviella veghae Kozur, 1972. The dimensions of right and left valves of complete carapaces are linked.
FIG. 9 in Ostracods from the 'Raibl Beds' (Carnian, Late Triassic) of Belca section in Karavanke Mountains, northwestern Slovenia
FIG. 9. — Height/Length scatter plots of Renngartenella sanctaecrucis Kristan-Tollmann in Kristan-Tollmann & Hamedani, 1973. The dimensions of right and left valves of complete carapaces are linked.
FIG. 5 in Ostracods from the 'Raibl Beds' (Carnian, Late Triassic) of Belca section in Karavanke Mountains, northwestern Slovenia
FIG. 5. — Height/Length scatter plots of species recovered from the Belca section, Karavanke Mountains, northwestern Slovenia, Carnian, Late Triassic. In all diagrams, the dimensions of right and left valves of complete carapaces are linked. A, Bairdia balatonica Méhes, 1911; B, Bairdia cassiana (Reuss, 1869); C, Dicerobairdia buseri Forel, n. sp., all specimens are from the Belca section (this work); D, Mirabairdia longispinosa Kristan-Tollmann, 1978; E, Pontocypris? karavankensis Forel, n. sp. all specimens are from the Belca section (this work). Scale bars: 100 μm.
FIG. 8 in Ostracods from the 'Raibl Beds' (Carnian, Late Triassic) of Belca section in Karavanke Mountains, northwestern Slovenia
FIG. 8. — Ostracods from the Belca section, Karavanke Mountains, northwestern Slovenia, Carnian, Late Triassic. All specimens are deposited in the micropalaeontology collections of the Geological Survey of Slovenia, under the numbers GeoZS6132 to GeoZS6239, preceded by sample number: A-E, Renngartenella sanctaecrucis Kristan-Tollmann in Kristan-Tollmann & Hamedani, 1973; A, lateral view of a right valve, BE2 (GeoZS6195); B, lateral view of a left valve, BE2 (GeoZS6196); C, lateral view of a right valve, BE2 (GeoZS6197); D, lateral view of a left valve, BE2 (GeoZS6198); E, lateral view of a right valve, BE2 (GeoZS6199); F, Hungarella sp. 1, lateral view of a right valve, BE18 (GeoZS6200); G, Hungarella sp. 2, lateral view of a right valve, BE18 (GeoZS6201); H, Cardobairdia? sp., right lateral view of a complete carapace, BE17 (GeoZS6202); I-U, Issacharella bisulcata Kozur, 1972 emend. Kristan-Tollmann in Kristan-Tollmann et al. 1991b; I, lateral view of a right valve, BE18 (GeoZS6203); J, lateral view of a left valve, A-5, BE21 (GeoZS6204); K, lateral view of a right valve, A-4, BE2 (GeoZS6205); L, lateral view of a left valve, A-4, BE2 (GeoZS6206); M, lateral view of a right valve, BE2 (GeoZS6207); N, lateral view of a right valve, BE18 (GeoZS6208); O, lateral view of a left valve, A-3, BE2 (GeoZS6209); P, left lateral view of a carapace, A-2, BE17 (GeoZS6210); Q, lateral view of a right valve, BE21 (GeoZS6211); R, lateral view of a left valve, A-1, BE17 (GeoZS6212); S, lateral view of a right valve, A-1, BE2 (GeoZS6213); T, left lateral view of a carapace, Adult, BE17 (GeoZS6214); U, lateral view of a left valve, Adult, BE18 (GeoZS6215). Scale bars: 100 μm.
FIG. 4 in Ostracods from the 'Raibl Beds' (Carnian, Late Triassic) of Belca section in Karavanke Mountains, northwestern Slovenia
FIG. 4. — Ostracods from the Belca section, Karavanke Mountains, northwestern Slovenia, Carnian, Late Triassic. All specimens are deposited in the micropalaeontology collections of the Geological Survey of Slovenia, under the numbers GeoZS6132 to GeoZS6239, preceded by sample number: A, B, Acratia cf. goemeryi Kozur, 1970 emend. Forel et al. (2019a); A, lateral view of a right valve, BE21 (GeoZS6132); B, lateral view of a left valve, BE18 (GeoZS6133); C, Acratia sp. 1, lateral view of a broken left valve, BE18 (GeoZS6134); D, Acratia sp. 2, lateral view of a left valve, BE18 (GeoZS6135); E, Bairdia balatonica Méhes, 1911, lateral view of a left valve, BE17 (GeoZS6136); F-H, Bairdia cassiana (Reuss, 1869); F, lateral view of a right valve, BE18 (GeoZS6137); G, lateral view of a right valve, BE18 (GeoZS6138); H, right lateral view of a complete carapace, BE23/1 (GeoZS6139); I, Bairdia cf. perpusilla sensu Forel et al. (2019a), lateral view of a left valve, BE17 (GeoZS6140); J, Bairdia sp. 1, right lateral view of a complete carapace, BE18 (GeoZS6141); K, Bairdia sp. 2, lateral view of a right valve, BE23/1 (GeoZS6142); L, M, Bairdia sp. 3; L, lateral view of a left valve, BE18 (GeoZS6143); M, lateral view of a left valve, BE18 (GeoZS6144); N, Bairdiacypris sp. 1, lateral
FIG. 7 in Ostracods from the 'Raibl Beds' (Carnian, Late Triassic) of Belca section in Karavanke Mountains, northwestern Slovenia
FIG. 7. — Ostracods from the Belca section, Karavanke Mountains, northwestern Slovenia, Carnian, Late Triassic. All specimens are deposited in the micropalaeontology collections of the Geological Survey of Slovenia, under the numbers GeoZS6132 to GeoZS6239, preceded by sample number: A, Pontocypris? karavankensis Forel, n. sp., lateral view of a right valve, BE18 (GeoZS6174); B, C, Monoceratina sp.; B, lateral view of a right valve, BE21 (GeoZS6175); C, lateral view of a right valve, BE18 (GeoZS6176); D, Citrella? carniana Forel in Forel et al. 2019, lateral view of a right valve, BE2 (GeoZS6177); E, F, Judahella dizluense Kristan-Tollmann, 1980; E, lateral view of a right valve, BE18 (GeoZS6178); F, lateral view of a left valve, BE21 (GeoZS6179); G, Judahella cf. galli Kozur & Bolz in Bunza & Kozur, 1971, lateral view of a right valve, BE18 (GeoZS6180); H, Judahella sp., lateral view of a right valve, BE18 (GeoZS6181); I, Kerocythere cf. hartmanni Bolz & Kozur in Bunza & Kozur, 1971, lateral view of a right valve, BE18 (GeoZS6182); J, Kerocythere raibliana (Gümbel, 1869), lateral view of a left valve, BE18 (GeoZS6183); K-M, Kerocythere reticulata Kristan-Tollmann, 1972; K, lateral view of a left valve, BE18 (GeoZS6184); L, lateral view of a right valve, BE18 (GeoZS6185); M, lateral view of a right valve, BE18 (GeoZS6186); N, O, Kerocythere tuvalica Kozur, 1971; N, lateral view of a left valve, BE17 (GeoZS6187); O, lateral view of a left valve, BE21 (GeoZS6188); P, Q, Kerocythere sp. 1; P, lateral view of a right valve, BE21 (GeoZS6189); Q, lateral view of a right valve, BE21 (GeoZS6190); R, S, Simeonella daginikella Forel in Forel et al. 2019; R, lateral view of a right valve, BE18 (GeoZS6191); S, lateral view of a right valve, BE18 (GeoZS6192); T, U, Renngartenella sanctaecrucis Kristan-Tollmann in Kristan-Tollmann & Hamedani, 1973; T, lateral view of a right valve, A-1, BE2 (GeoZS6193); U, lateral view of a right valve, A-1, BE2 (GeoZS6194). Scale bars: 100 μm.
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