Find research datasets worth reusing

opencc-by-4.0Dec 2021View details →

Data set of article entitled: "Impact of the interfacial Dzyaloshinskii-Moriya interaction on the band structure of one-dimensional artificial magnonic crystals: A micromagnetic study"

Data set of the immagies showed in figure 3 of the article entiteled "Impact of the interfacial Dzyaloshinskii-Moriya interaction on the band structure of one-dimensional artificial magnonic crystals: A micromagnetic study". All files contain the matrix of the dispersion relations of the two analysed Magnonic Crystals: the SAMPLE A and the SAMPLE B for different value of the interfacial Dzyaloshinskii-Moriya interaction (constant D). The first row is the set of values of k-vector, while the first column is the set of value of the frequencies. The other elements of the matrix are the values of the pixel related to the first row and first column. These elements are been obtanied by the Fast Fourier Transform in time and space of the micromagnetic simulations .

opencc-by-4.0Nov 2018View details →

W-Band Traveling Wave Tube Amplifier Based on Planar Slow Wave Structure

Underlying data corresponding to the Journal paper:  G. Ulisse and V. Krozer, "W-Band Traveling Wave Tube Amplifier Based on Planar Slow Wave Structure", IEEE Electron Device Letters, vol. 38, no. 1, January 2017.

opencc-by-4.0Apr 2023View details →

Products and Models for "Detection of carbon monoxide's 4.6 micron fundamental band structure in WASP-39b's atmosphere with JWST NIRSpec G395H"

Overview: Carbon monoxide (CO) is predicted to be the dominant carbon-bearing molecule in giant planet atmospheres, and, along with water, is important for discerning the oxygen and therefore carbon-to-oxygen ratio of these planets. The fundamental absorption mode of CO has a broad double-branched structure composed of many individual absorption lines from 4.3 to 5.1  µm, which can now be spectroscopically measured with JWST. Here we present a technique for detecting the rotational sub-band structure of CO at medium resolution with the NIRSpec G395H instrument. We use a single transit observation of the hot Jupiter WASP-39b from the JWST Transiting Exoplanet Community Early Release Science (JTEC ERS) program at the native resolution of the instrument (R ~ 2700) to resolve the CO absorption structure. We robustly detect absorption by CO, with an increase in transit depth of 264 $\pm$ 68 ppm, in agreement with the predicted CO contribution from the best-fit model at low resolution. This detection confirms our theoretical expectations that CO is the dominant carbon-bearing molecule in WASP-39b's atmosphere, and further supports the conclusions of low C/O and super-solar metallicities presented in the JTEC ERS papers for WASP-39b.

opencc-by-4.0May 2023View details →

One-particle and excitonic band structure in cubic Boron Arsenide

Data for "One-particle and excitonic band structure in cubic Boron Arsenide" The two directories are for calculations with (soc) and without (nosoc) SOC. Launching the supplied scripts in either will generate the BSE optics data (with opt.sh) and projected bands/DOS (with spd.sh) respectively. File description ([^1-2]): <ul> <li> init.bas: initial structure definition</li> <li> ctrl.bas: main input file</li> <li> site.bas: structure input</li> <li> basp.bas: basis definition</li> <li> rst.bas: density/restart file</li> <li> sigm.bas: self-energy</li> <li> switches-for-lm: command line switches used across the scripts</li> </ul> -- [^1]: https://www.questaal.org/docs/input/inputfile/ [^2]: https://www.questaal.org/docs/input/data_format/

opencc-by-4.0Dec 2023View details →

Topological fine structure of an energy band

This folder contains both the code and the data to generate the results in the paper "Topological fine structure of an energy band".

opencc-by-4.0Apr 2024View details →

Dataset for DFT and one-step model results used in publication "Persistence of Structural Distortion and Bulk Band Rashba Splitting in SnTe above Its Ferroelectric Critical Temperature" in Nano Letters, 2024, 24, 1, 82–88

Dataset for DFT and one-step model results used in publication DOI 10.1021/acs.nanolett.3c03280, "Persistence of Structural Distortion and Bulk Band Rashba Splitting in SnTe above Its Ferroelectric Critical Temperature" in Nano Letters, 2024, 24, 1, 82–88. Description of dataset is in the ReadMe.txt file in subdirectories.

opencc-by-sa-4.0Nov 2021View details →

Data supplement for "Topological magnon band structure of emergent Landau levels in a skyrmion lattice"

Collection of the data sets for our paper, <a href="https://doi.org/10.1126/science.abe4441">Topological magnon band structure of emergent Landau levels in a skyrmion lattice</a>. (The source code supplement can be found <a href="https://doi.org/10.5281/zenodo.5718363">here</a>.)   Contents <table> <caption>Data files used for the paper's figures.</caption> <thead> <tr> <th scope="col">Scan</th> <th scope="col">Figure</th> <th scope="col">File(s)</th> </tr> </thead> <tbody> <tr> <td>(i)</td> <td>2</td> <td>ill_thales/exp_4-01-1621/rawdata/025280 ill_thales/exp_4-01-1621/rawdata/025281</td> </tr> <tr> <td>(ii)</td> <td>S17</td> <td>ill_thales/exp_INTER-436/rawdata/022169</td> </tr> <tr> <td>(iii)</td> <td>2</td> <td>ill_thales/exp_4-01-1597/rawdata/023454</td> </tr> <tr> <td>(iv)</td> <td>3</td> <td>mlz_reseda/*</td> </tr> <tr> <td>(v)</td> <td>4</td> <td>ill_thales/exp_INTER-413/rawdata/020778 ill_thales/exp_INTER-413/rawdata/020779</td> </tr> <tr> <td>(vi)</td> <td>4</td> <td>ill_thales/exp_INTER-413/rawdata/020777</td> </tr> <tr> <td>(vii)</td> <td>S16</td> <td>ill_thales/exp_INTER-436/rawdata/022168</td> </tr> <tr> <td>(viii)</td> <td>S16</td> <td>ill_thales/exp_INTER-413/rawdata/020793</td> </tr> <tr> <td> </td> <td>S10</td> <td>ill_thales/exp_4-01-1597/rawdata/023488</td> </tr> <tr> <td> </td> <td>S10</td> <td>ill_thales/exp_4-01-1597/rawdata/023489</td> </tr> <tr> <td> </td> <td>S11</td> <td>ill_thales/exp_4-01-1597/rawdata/023453</td> </tr> <tr> <td> </td> <td>S11</td> <td>ill_thales/exp_4-01-1597/rawdata/023553 ill_thales/exp_4-01-1597/rawdata/023559</td> </tr> <tr> <td> </td> <td>S12</td> <td>ill_thales/exp_INTER-436/rawdata/022213 ill_thales/exp_INTER-436/rawdata/022216 ill_thales/exp_INTER-436/rawdata/022217</td> </tr> </tbody> </table>   <table> <caption>Overview of experimental data sets.</caption> <thead> <tr> <th scope="col">Instrument</th> <th scope="col">Proposal</th> <th scope="col">Directory</th> </tr> </thead> <tbody> <tr> <td><a href="http://doi.org/10.1080/10448632.2015.1057050">THALES (ILL)</a></td> <td><a href="http://dx.doi.org/10.5291/ILL-DATA.INTER-413">INTER-413</a></td> <td>ill_thales/exp_INTER-413/</td> </tr> <tr> <td> </td> <td><a href="http://dx.doi.org/10.5291/ILL-DATA.INTER-436">INTER-436</a></td> <td>ill_thales/exp_INTER-436/</td> </tr> <tr> <td> </td> <td><a href="http://dx.doi.org/10.5291/ILL-DATA.4-01-1597">4-01-1597</a></td> <td>ill_thales/exp_4-01-1597/</td> </tr> <tr> <td> </td> <td><a href="http://dx.doi.org/10.5291/ILL-DATA.INTER-477">INTER-477</a></td> <td>ill_thales/exp_INTER-477/</td> </tr> <tr> <td> </td> <td><a href="http://dx.doi.org/10.5291/ILL-DATA.4-01-1621">4-01-1621</a></td> <td>ill_thales/exp_4-01-1621/</td> </tr> <tr> <td><a href="http://doi.org/10.1016/j.nima.2011.01.173">LET (RAL)</a></td> <td><a href="http://dx.doi.org/10.5286/ISIS.E.RB1620412">RB1620412</a></td> <td>Impossible to include in archive due to size.</td> </tr> <tr> <td> </td> <td><a href="http://dx.doi.org/10.5286/ISIS.E.RB1720033">RB1720033</a></td> <td>Impossible to include in archive due to size.</td> </tr> <tr> <td><a href="https://www.psi.ch/en/sinq/tasp">TASP (PSI)</a></td> <td>20181324 (part 1)</td> <td>psi_tasp/exp_20181324_1/</td> </tr> <tr> <td> </td> <td>20181324 (part 2)</td> <td>psi_tasp/exp_20181324_2/</td> </tr> <tr> <td> </td> <td>20151888</td> <td>psi_tasp/exp_20151888/</td> </tr> <tr> <td><a href="http://doi.org/10.1016/j.nima.2017.09.063">MIRA (MLZ)</a></td> <td>13511</td> <td>mlz_mira/exp_13511</td> </tr> <tr> <td> </td> <td>15633</td> <td>mlz_mira/exp_15633</td> </tr> <tr> <td><a href="http://doi.org/10.1016/j.nima.2019.05.056">RESEDA (MLZ)</a></td> <td>P00745-01</td> <td>mlz_reseda/</td> </tr> </tbody> </table>   Acknowledgements We thank E. Villard and P. Chevalier for technical support and J. Locatelli for IT support during the THALES experiments; and J. Frank for technical support during the MIRA experiments. We thank J. K. Jochum for support with the RESEDA experiment. We thank M. Kugler for his early experiments on skyrmion dynamics in MnSi.   ► Please see the readme.txt file in the archive for details.

opencc-by-4.0Apr 2022View details →

Dataset for Direct Geometric Probe of Singularities in Band Structure

Included here is the processed data illustrated in the figures of both the main text, and the supplemental material. Below is a description of each file's contents.   Figure2Dcode.m contains the MATLAB code that generates Figure 2D of the main text. It takes the band populations inferred from five iterations of measurements, and calculates the means and standard errors for data taken at each theta as defined in the main text.   Figure2Ddata.csv contains the data illustrated in Figure 2D of the main text. The data provided are normalized band populations, such that the value 1 corresponds to the entire atom number in the sample. The rows provide the band index; the first row of data corresponds to the n=1 band, the second row corresponds to the n=2 band, etc. The columns provide the measured turning angle in units of radians; the first column corresponds to a turning angle of zero, and the angle is incremented by pi/12 radians for each column that follows. Row 5 is the error for the n=1 population, row 6 is the error for the n=2 population, and row 7 is the error on the sum of the population in bands with index not equal to 1 or 2.   Figure3Bcode.ipynb contains the jupyter notebook that generates Figure 3B of the main text. It takes the band populations inferred from four iterations of measurements, and calculates the means and standard errors for data taken for each intermediate point along K - M - K'. For this plot, the x-axis is chosen to be the intermediate quasi-momenta, and different colors are used to differentiate between different acceleration times.   Figure3Bdata.csv contains the data illustrated in Figure 3B of the main text. The five columns correspond to the five different trajectory evolution times (0.5, 0.9, 1.3, 1.7, 2.1 milliseconds) shown in the Figure 3B. The first nine rows correspond to the nine trajectory midpoint positions in the Brillouin zone, as showed in Figure 3A; the first row corresponds to a midpoint at K. The next nine rows are the errors on the measurements.   Figure4Ccode.m contains the MATLAB code that generates Figure 4C of the main text. It takes the band populations inferred from twelve iterations of measurements, each at a different theta as defined in the main text, and calculate the means and standard errors for data taken at each theta.   Figure4Cdata.csv contains the data illustrated in Figure 4C of the main text. The data provided are normalized band populations, such that the value 1 corresponds to the entire atom number in the sample. The rows provide the band index; the first row of data corresponds to the n=1 band, the second row corresponds to the n=2 band, etc. The columns provide the measured turning angle in units of radians; the first column corresponds to a turning angle of zero, and the angle is incremented by pi/6 radians for each column that follows. Row 11 is the error for the n=3 population, row 12 is the error for the n=4 population, and row 13 is the error on the sum of the population in bands with index not equal to 3 or 4.   FigureS3Bcode.m contains the MATLAB code that generates Figure S3B of the main text. It takes the band populations inferred from seven iterations of measurements, and calculates the means and standard errors for data taken for each hold time at quasi-momentum Q as defined in the main text. The result is then fitted to a sine with exponentially decaying envelope. push_ramp.py (in Full Hamiltonian simulation.zip) starts with an initial state and evolves it according to the discretized schrödinger equation along the path in q-space. The Hamiltonian is calculated in basic_fcts.py. The final state is projected on the eigenstates at the final q to extract the band population. Different time intervals are used to obtain all the data. A decay to account for coherence loss is added.   FigureS3data.csv contains the data illustrated in Figure 3 of the supplementary material. The first row is the data values, and the second row are the error bars.   FigureS4Bcode.m contains the MATLAB code that generates Figure S4B of the main text. It takes the band populations inferred from four iterations of measurements, and calculates the means and standard errors for data taken for each intermediate point along K - M - K'. For this plot, the x-axis is chosen to be acceleration time, and different colors are used to differentiate between different intermediate points. push_ramp.py (in Full Hamiltonian simulation.zip) starts with an initial state and evolves it according to the discretized schrödinger equation along the paths in q-space. The Hamiltonian is calculated in basic_fcts.py. The final state is projected on the eigenstates at the final q to extract the band population. Different time intervals are used to obtain all the data.   FigureS4data.csv contains the data illustrated in Figure 4 of the supplementary material. The first five rows are the normalized ground band population for five different trajectory mid points on the K - M - K' line of the Brillouin zone.; the first row is for a midpoint at K, and the fifth row is for a midpoint at M. The columns give the trajectory traversal times; the first column corresponds to a traversal time of 0.1 ms and each column corresponds to a new traversal time incremented by 0.2 ms. Rows 6-10 are the error bars for the measurements.   FigureS5Bcode.zip contains the codes that generate Figure S5B of the main text. For each subplots in Fig.S5B, the corresponding MATLAB code in the zip file takes the band populations inferred from three iterations of measurements, and calculate the means and standard errors for data taken at each acceleration time.   FigureS5Bdata.csv contains the data illustrated in Figure 5B of the supplementary material. Rows 1-20 correspond to subpanel (iii) in the Figure S5 of the supplementary material.  Rows 21-40 correspond to subpanel (ii) in the Figure S5 of the supplementary material.  Rows 31-60 correspond to subpanel (i) in the Figure S5 of the supplementary material. Rows 1-10 correspond to the band index and give the normalized band population; row 1 corresponds to band index n=1 and row 10 corresponds to band index n=10. Rows 21-30 correspond to the band index and give the normalized band population; row 21 corresponds to band index n=1 and row 30 corresponds to band index n=10. Rows 41-50 correspond to the band index and give the normalized band population; row 41 corresponds to band index n=1 and row 50 corresponds to band index n=10. Rows 11-20 (31-40) [51-60] give the error in the band populations for measurements in panel iii (ii) [i].   FigureS5Cdata.csv contains the data illustrated in Figure 5C of the supplementary material. The first (second) column is the vertical (horizontal) axis. The fourth (third) column is the error in the points on the vertical (horizontal) axis.   push_ramp.py (in Full Hamiltonian simulation.zip) starts with an initial state and evolves it according to the discretized schrödinger equation along the path in q-space. The Hamiltonian is calculated in basic_fcts.py. In figure S6A, at each point in time shown the state is projected onto the instantaneous eigenbasis and the different band populations are extracted. In figure S6B and figure S6C, the whole experiment sequences corresponding to figure 2 and figure 4 in the main text are simulated, and the final population obtained is plotted, with the measurement results copied for reference.   FigureS7code.nb contains the mathematica notebook that generate Figure S7 of the main text. This code uses the two-band model described in the supplemental material to perform simulation.   Image_fitting.zip contains the MATLAB code and functions that were used to analyze the band mapping images. multiboxFit_v7_1.m is the main code that uses other MATLAB functions in the zip file. Overall, it takes absorption images as input, finds the position of each peak (BoxGenerator_v1_0.m), fit for the population in each peak in the images (createFit2D.m), assign the correct band number given the final quasi-momentum in the sequence (BoxesBandsThing_v2.m), and finally plot the inferred band populations, along with a visualization of the original images overlain with a Brillouin zone (PlotBZ_v2.m). The result of fits are saved in a separate file that are accessed by other analysis codes. Figure S2 and Figure S5C are also generated with this code.   Additional codes Q_path_BZ.py, group_velo.py & diffr_img.py are included in Full Hamiltonian simulation.zip to ensure the correct functionality of the codes included.

opencc-by-4.0Sep 2022View details →

Band structure of KTaO3 two dimensional electron gas: ARPES data and tight binding fits

The dataset contains the angle resolved photoemission spectroscopy measurements of the band structure of the two dimensional electron gas generated at the KTaO3/Al interface. Both dispersion and constant energy maps near the Fermi level are provided. The experimental data are complemented with tight binding fits (eight bands).

opencc-by-4.0Aug 2019View details →

Text-fig. 2. Soft-tissue imprints and traces of bioerosion on Middle Ordovician cephalopods from Estonia. a: GIT 819-1, Tragoceras falcatum (SCHLOTHEIM, 1820), drag bands; b: GIT 819-1, T. falcatum, pseudosutures; c: GIT 819-2, Estonioceras sp., drag bands; d: GIT 819-3, cf. Anthoceras vaginatum (SCHLOTHEIM, 1820), drag bands; e: GIT 819-4, cf. Orthoceras regulare SCHLOTHEIM, 1820, drag bands; f: Pits on the body chamber of GIT 819-1, T. falcatum. Specimens oriented with aperture downwards. Scale bars 1 mm. in Conch Structures, Soft-Tissue Imprints And Taphonomy Of The Middle Ordovician Cephalopod Tragoceras Falcatum From Estonia

Text-fig. 2. Soft-tissue imprints and traces of bioerosion on Middle Ordovician cephalopods from Estonia. a: GIT 819-1, Tragoceras falcatum (SCHLOTHEIM, 1820), drag bands; b: GIT 819-1, T. falcatum, pseudosutures; c: GIT 819-2, Estonioceras sp., drag bands; d: GIT 819-3, cf. Anthoceras vaginatum (SCHLOTHEIM, 1820), drag bands; e: GIT 819-4, cf. Orthoceras regulare SCHLOTHEIM, 1820, drag bands; f: Pits on the body chamber of GIT 819-1, T. falcatum. Specimens oriented with aperture downwards. Scale bars 1 mm.

opencc-by-4.0Apr 2024View details →

Dataset for the manuscript "Observation of time-reversal symmetry breaking in the band structure of altermagnetic RuO2" in Science Advances Vol. 10, No. 5

Dataset for publication "Observation of time-reversal symmetry breaking in the band structure of altermagnetic RuO2" in Science Advances Vol. 10, No. 5, https://doi.org/10.1126/sciadv.adj4883. The details corresponding to the dataset of the figures are given in a readme file in the corresponding folders.

opencc-by-4.0Feb 2022View details →

Beatings of ratchet current magneto-oscillations in GaN-based grating gate structures: Manifestation of spin-orbit band splitting

OPEN DATA related to the research publication: Sai, P., Potashin, S. O., Szoła, M., Yavorskiy, D., Cywiński, G., Prystawko, P., ... & Kachorovskii, V. Y. (2021). Beatings of ratchet current magneto-oscillations in GaN-based grating gate structures: Manifestation of spin-orbit band splitting. Physical Review B, 104(4), 045301 [arXiv:2102.12791]. Abstract: We report on the study of the magnetic ratchet effect in AlGaN/GaN heterostructures superimposed with a lateral superlattice formed by a dual-grating gate structure. We demonstrate that irradiation of the superlattice with a terahertz beam results in the direct ratchet current, which shows giant magneto-oscillations in the regime of Shubnikov–de Haas oscillations. The oscillations have the same period and are in phase with the resistivity oscillations. Remarkably, their amplitude is greatly enhanced as compared with the ratchet current at zero magnetic field, and the envelope of these oscillations exhibits large beatings as a function of the magnetic field. We demonstrate that the beatings are caused by the spin-orbit (SO) splitting of the conduction band. We develop a theory which gives a good qualitative explanation of all experimental observations and allows us to extract the SO splitting constant αSO=7.5±1.5 meVÅ. We also discuss how our results are modified by plasmonic effects and show that these effects become more pronounced with decreasing the period of the grating gate structures down to submicrons.

opencc-by-4.0Dec 2022View details →

Dataset for "Band structures and Z2 invariant of 2D transition metal dichalcogenides from fully relativistic Dirac--Kohn--Sham theory using Gaussian-type orbitals"

Two-dimensional (2D) materials exhibit a wide range of remarkable phenomena, many of which owe their existence to the relativistic spin--orbit coupling (SOC). To understand and predict properties of materials containing heavy elements, such as the transition metal dichalcogenides (TMDs), full account of relativistic effects is mandatory in first-principles calculations. We present an all-electron method based on the four-component Dirac Hamiltonian and Gaussian-type orbitals (GTOs) that overcomes complications associated with linear dependencies and ill-conditioned matrices arising when diffuse functions are included in the basis. Until now, there has been no systematic study of the convergence of GTO basis sets for periodic solids neither at the nonrelativistic nor the relativistic level. Here, we provide such a study of relativistic band structures of the 2D TMDs in the hexagonal (2H), tetragonal (1T), and distorted tetragonal (1T') structural phases while focusing on SOC-driven properties (the Rashba splitting and the $\mathbb{Z}_2$ topological invariant). We demonstrate that our approach is valid even if large basis sets with multiple basis functions corresponding to each valence atomic orbital (denoted triple- and quadruple-$\zeta$) are used in the relativistic regime. The method does not require the use of pseudopotentials and provides access to all electronic states within the same framework, paving the way for direct studies of material properties that depend heavily on the electron density near atomic nuclei where relativistic effects and SOC are strongest, such as the parameters of the spin Hamiltonian.

opencc-by-4.0Aug 2023View details →

Data set for "Electrical detection of the flat band dispersion in van der Waals field-effect structures"

Data set for "Electrical detection of the flat band dispersion in van der Waals field-effect structures" paper published in doi:10.1038/s41565-023-01489-x

dryad32/100

Next-generation phylogeography of the banded newts (Ommatotriton): A phylogenetic hypothesis for three ancient species with geographically restricted interspecific gene flow and deep intraspecific genetic structure

Technological developments now make it possible to employ many markers for many individuals in a phylogeographic setting, even for taxa with large and complex genomes such as salamanders. The banded newt (genus Ommatotriton) from the Near East has been proposed to contain three species (O. nesterovi, O. ophryticus and O. vittatus) with unclear phylogenetic relationships, apparently limited interspecific gene flow and deep intraspecific geographic mtDNA structure. We use parallel tagged amplicon sequencing to obtain 177 nuclear DNA markers for 35 banded newts sampled throughout the range. We determine population structure (with Bayesian clustering and principal component analysis), interspecific gene flow (by determining the distribution of species-diagnostic alleles) and phylogenetic relationships (by maximum likelihood inference of concatenated sequence data and based on a summary-coalescent approach). We confirm that the three proposed species are genetically distinct. A sister relationship between O. nesterovi and O. ophryticus is suggested. We find evidence for introgression between O. nesterovi and O. ophryticus, but this is geographically limited. Intraspecific structuring is extensive, with the only recognized banded newt subspecies, O. vittatus cilicensis, representing the most distinct lineage below the species level. While mtDNA mostly mirrors the pattern observed in nuclear DNA, all banded newt species show mito-nuclear discordance as well.

opencc-zeroNov 2021View details →

opencc-by-4.0Apr 2024View details →

Videos of the evolution of the projected band structures of Hexagonal phosphorus monolayer on Au(111) surface during uniform adsorption

Attached to this DOI are videos of the evolution of the band structure and the band structure projections during the uniform adsorption of the HexP-monolayer on the Au(111) surface. The HexP-monolayer starts at 5 angström above its relaxed position and ends at its final relaxed position on the Au(111) surface. In total, 19 interpolation structures have been created (both ends included). On the left is the unit-cell of the simulated structure, with phosphorus atoms in orange and gold atoms in yellow. Band structure calculations and projections have been done using the Quantum ESPRESSO framework.

opencc-by-4.0Mar 2018View details →

Research data for: "Band Structure Interpolation using Optimized Local Orbitals from Linear-Scaling Density-Functional Theory"

This file was created by Laura E. Ratcliff on 23rd March 2018.  It contains the input files employed for the ONETEP and CASTEP calculations in the above publication. Directory Listing: castep/ Contains the input files used to generate the CASTEP reference data. onetep/ Contains the input files used to generate all of the ONETEP data, where filenames are labelled with the number of repeat CNT units, val (cond) indicates a valence (conduction) calculation and the suffixes follow a similar labelling convention to that employed in the manuscript.

opennotspecifiedMar 2017View details →

FIGURES 47–50 in Adlafia sinensis sp. nov. (Bacillariophyceae) from the Wuling Mountains Area, China, with reference to the structure of its girdle bands

FIGURES 47–50. Adlafia sinensis sp. nov., SEM. 47. A dismembered frustule, showing the valvocopula with one row of areola on both the pars interior and pars exterior (arrow), and c. five striae located only on the mantle (arrows). 48–50. Girdle view showing five striae located only on the mantle (arrows). Scale bars = 5 μm.

opennotspecifiedMar 2017View details →

FIGURES 43–46 in Adlafia sinensis sp. nov. (Bacillariophyceae) from the Wuling Mountains Area, China, with reference to the structure of its girdle bands

FIGURES 43–46. Adlafia sinensis sp. nov., SEM. 43. Detail of Fig. 41, showing the hooked terminal raphe fissures continuing onto the mantle, open girdle band (arrow), and two rows of poroids become only one row distal the raphe fissure (curved arrow). 44. Detail of Fig. 40, showing the structure of the cingulum at the apex, note the valvocopulae (VC), two segmental bands (B2 and B3), and distinct gap. 45. Detail of Fig. 40, showing the deep mantle and the valvocopula connecting epivalve with the hypovalve. 46. Detail of Fig. 40, showing the structure of the cingulum at the apex, note the valvocopulae (VC), and distinct gap. Scale bars = 1 μm.