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433 results for “FE”
The contribution of Fe(III) reduction to soil carbon mineralization in montane meadows depends on soil chemistry, not parent material or microbial community
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Dataset for: Identification of genomic regions of wheat associated with grain Fe and Zn content under drought and heat stress using genome-wide association study
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Data from: A formal Fe<sup>III/V</sup> redox couple in an intercalation electrode
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Acclimation of phytoplankton Fe:C ratios dampens the biogeochemical response to varying atmospheric deposition of soluble iron
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Supplementary material 1 from: Dickey JWE, Cuthbert RN, South J, Britton JR, Caffrey J, Chang X, Crane K, Coughlan NE, Fadaei E, Farnsworth KD, Ismar-Rebitz SMH, Joyce PWS, Julius M, Laverty C, Lucy FE, MacIsaac HJ, McCard M, McGlade CLO, Reid N, Ricciardi A, Wasserman RJ, Weyl OLF, Dick JTA (2020) On the RIP: using Relative Impact Potential to assess the ecological impacts of invasive alien species. NeoBiota 55: 27-60. https://doi.org/10.3897/neobiota.55.49547
Table S1. Outline of different numerical response proxies available, guidance for their use and the advantages and disadvantages of each
Nanobiofertilizants of B and Fe
<p>Nanofertilization is postulated as a new technology to deal with the environmental problems caused by the intensive use of traditional fertilizers. One of the aims of this new technology is to improve foliar fertilization, which has many environmental advantages but currently there are numerous factors that limit its efficiency. In this research, the objective was to study the potential of membrane vesicles derived from plant material as nanofertilizers of iron (Fe) and boron (B) for foliar application in almond trees<i> (Prunus dulcis</i> L.). The results show that the application of vesicles caused invaginations in the plasma membrane of the leaf cells. Also, the increase in leaf B and Fe was greater when these elements were applied in an encapsulated form rather than in a non-encapsulated form. The distribution of these elements in leaf tissues indicated the existence of an intracellular element transport pathway and accumulation areas providing greater element entrance and mobility.</p>
Soluble Fe concentrations
<p>126 PM<sub>2.5</sub> samples were collected from June 2, 2015, to May 30, 2016 over Xi’an, China. Here are the data sets of total Fe, total soluble Fe, soluble Fe(II), soluble Fe(III), and other water-soluble ions (SO<sub>4</sub><sup>2-</sup>, NO<sub>3</sub><sup>-</sup>, K<sup>+</sup>, NH<sub>4</sub><sup>+</sup>) of these 126 samples.</p>
Fe 0.70 Ni 0.11 Cr 0.19 alloy - FCC
<p>Dislocation data extracted from MD simulations of Fe 0.70 Ni 0.11 Cr 0.19 alloys.</p> <p>The data was interpreted in the following article:<br> Péterffy, G., Ispánovity, P.D., Foster, M.E., Zhou, X., and Sills, R.B. Length scales and scale-free dynamics of dislocations in dense solid solutions. Mater Theory 4, 6 (2020). <a href="https://doi.org/10.1186/s41313-020-00023-z">https://doi.org/10.1186/s41313-020-00023-z</a></p> <p> </p>
Data file for paper: " In situ electrochemical quantification of active sites in Fe–N/C non-precious metal catalysts.", Nature. Communications, 7, 13285 doi: 10.1038/ncomms13285 (2016).
<p>The data in this spreadsheet was used to produce the figures in the paper</p> <p>Malko, D., Kucernak, A and Lopes, T, " In situ electrochemical quantification of active sites in Fe–N/C non-precious metal catalysts." </p> <p>Nat. Commun., 7, 13285 doi: 10.1038/ncomms13285 (2016).</p> <p>Please cite the above reference if you wish to use this data</p>
Performance of Fe-N/C oxygen reduction electrocatalysts towards NO2-, NO, and NH2OH electroreduction – from fundamental insights into the active centre to a new method for environmental nitrite destruction
<p>This Excel data file contains the data used to produce the figures in the paper:</p> <p>Malko, D., Kucernak, A and Lopes, T, " Performance of Fe-N/C oxygen reduction electrocatalysts towards NO2-, NO, and NH2OH electroreduction – from fundamental insights into the active centre to a new method for environmental nitrite destruction"</p> <p>Journal of the American Chemical Society, 2016, DOI:10.1021/jacs.6b09622</p> <p>Please cite the above reference if you wish to use this data</p>
The high-pressure melting of the Fe-FeH system
<p>Dataset for resubmission 2025GL117895 </p>
Parameters of extremal micropolar materials and procedures for FE simulation (supplementary data)
<p>These are supporting data and related procedures of the article "Extremal micropolar materials for elastic wave cloaking" to be submitted.</p>
Surface electronic structure of Ni-doped Fe$_3$O$_4$(001)
<p>The main data analysis was done with Wavemetrics Igor Pro 7.08 using user-defined macros.</p><p> <strong>General Remarks</strong></p><p>The calibration factor for our electron analyzer in the laboratory source XPS measurements was determined based on the peak positions of Au 4f7/2 Ag 3d5/2, and Cu 2p3/2 acquired from freshly prepared metallic Au, Ag, and Cu samples. For a pass energy of 50 eV: </p><p>CKE=(MKE-0.58267)/0.99913</p><p>where CKE and MKE represent calibrated and measured kinetic energies, respectively.</p><p>The XPD and FSM patterns throughout this dataset are presented in a file structure: tab-separated YXZT. To obtain the patterns as they were represented in the manuscript, first plot Y vs. X in marker mode. Assign Z and T as marker size and color, respectively.</p><p> </p><p><strong>%%% Figure 1 %%%</strong></p><p> </p><p><strong>Figure 1.a and Figure 1.b</strong></p><p>The high symmetry points:</p><p>|ΓL|= √3π/a</p><p>|ΓX|= 2π/a</p><p>|ΓW|= √5π/a </p><p>|ΓK|= √3π/2a</p><p>|ΓU|= √3π/2a</p><p> <strong>Figure 1.c</strong></p><p>The SBZ boundaries for the bulk and reconstructed cell:</p><p>|ΓX|bulk= √2π/a </p><p>|ΓX|rec= π/a</p><p> <strong>Figure 1.d</strong></p><p>File: "Fig1d.tiff" </p><p>LEED Image (Energy=20 eV)</p><p><strong>Figure 1.e</strong></p><p>File: "Fig1e.txt" </p><p>File structure(Left-to-right): Tab separated YXZT</p><p>The Fermi surface of a pristine Fe3O4(001), excitation: He Ia (21.22 eV)</p><p><strong>Figure 1.f</strong></p><p>File: "Fig1f.txt" </p><p>File structure(Left-to-right): Tab separated YXZT</p><p>The Fermi surface of a pristine Fe3O4(001), excitation: He IIa (40.80 eV)</p><p> </p><p><strong>%%% Figure 2 %%%</strong></p><p> </p><p>Angular distribution maps of photoelectrons excited from their fixed initial-state energy Ei (EF, 0.22 eV, 0.43 eV, 1.29 eV, 1.49 eV and 1.70 eV) mapped versus parallel momentum.</p><p><strong>Figure 2.a </strong></p><p>Files: "Fig2a_EF.txt, Fig2a_0p22eV.txt, Fig2a_0p43eV.txt, Fig2a_1p29eV.txt, Fig2a_1p49eV.txt, Fig2a_1p70eV.txt" </p><p>File structure(Left-to-right): Tab separated YXZT</p><p>The measurements were acquired with a He Ia excitation. </p><p><strong>Figure 2.b </strong></p><p>Files: "Fig2b_EF.txt, Fig2b_0p22eV.txt, Fig2b_0p43eV.txt, Fig2b_1p29eV.txt, Fig2b_1p49eV.txt, Fig2b_1p70eV.txt" </p><p>File structure(Left-to-right): Tab separated YXZT</p><p>The simulations, which were obtained with the RSMS code, were acquired to mimic He Ia excitation. </p><p><strong>Figure 2.c </strong></p><p>Files: "Fig2c_EF.txt, Fig2c_0p22eV.txt, Fig2c_0p43eV.txt, Fig2c_1p29eV.txt, Fig2c_1p49eV.txt, Fig2c_1p70eV.txt" </p><p>File structure(Left-to-right): Tab separated YXZT</p><p>The measurements were acquired with a He IIa excitation. </p><p><strong>Figure 2.d </strong></p><p>Files: "Fig2d_EF.txt, Fig2b_0p22eV.txt, Fig2d_0p43eV.txt, Fig2d_1p29eV.txt, Fig2d_1p49eV.txt, Fig2d_1p70eV.txt" </p><p>File structure(Left-to-right): Tab separated YXZT</p><p>The simulations, which were obtained with the RSMS code, were acquired to mimic He IIa excitation. </p><p> </p><p><strong>%%% Figure 3 %%%</strong></p><p> </p><p><strong>Figure 3.a </strong></p><p>File: "Fig3a.txt" </p><p>"File structure: Tab-separated YYYX, where the first three columns (from left to right) represent spectra taken from the pristine, as-grown, and post-annealed samples, respectively. Column X (Ni 2p) denotes the binding energy.</p><p><strong>Figure 3.b </strong></p><p>File: "Fig3b.txt" </p><p>"File structure: Tab-separated YYYX, where the first three columns (from left to right) represent spectra taken from the pristine, as-grown, and post-annealed samples, respectively. Column X (Fe 2p) denotes the binding energy.</p><p><strong>Figure 3.c-e</strong></p><p>File: "Fig3c.txt, Fig3d.txt, Fig3e.txt " </p><p>File structure(Left-to-right): Tab separated YXZT</p><p> </p><p><strong>%%% Figure 4 %%%</strong></p><p> </p><p><strong>Figure 4.a </strong></p><p>File: "Fig4a_010.txt, Fig4a_110.txt, Fig4ac_kpar.txt" </p><p>File structure (Left-to-right): YY….YY (Fig4a_010.txt, Fig4a_110.txt) vs. X (Fig4ac_kpar.txt)</p><p>Parallel momentum range from k=0 Å-1 to k=1.83 Å-1.</p><p>Energy range Ebin= 0 eV to Ebin= 2.6 eV.</p><p>Plot type: MDC, Sample: Pristine Fe3O4(001), Crystal directions: [010] and [110]</p><p>Note that the data presented in the manuscript were given with a Y-offset.</p><p><strong>Figure 4.b </strong></p><p>File: "Fig4b_010.txt, Fig4b_110.txt, Fig4bd_en.txt" </p><p>File structure (Left-to-right): YY….YY (Fig4b_010.txt, Fig4b_110.txt) vs. X (Fig4bd_en.txt)</p><p>Parallel momentum range from k=0 Å-1 to k=1.83 Å-1.</p><p>Energy range Ebin= 0 eV to Ebin= 2.6 eV.</p><p>Plot type: EDC, Sample: Pristine Fe3O4(001), Crystal directions: [010] and [110]</p><p>Note that the data presented in the manuscript were given with a Y-offset.</p><p><strong>Figure 4.c </strong></p><p>File: "Fig4c_010.txt, Fig4c_110.txt, Fig4ac_kpar.txt " </p><p>File structure (Left-to-right): YY….YY (Fig4e_010.txt, Fig4e_110.txt) vs. X (Fig4ac_kpar.txt)</p><p>Parallel momentum range from k=0 Å-1 to k=1.83 Å-1.</p><p>Energy range Ebin= 0 eV to Ebin= 2.6 eV.</p><p>Plot type: MDC, Sample: Post-annealed 26-ML Ni/Fe3O4(001), Crystal directions: [010] and [110]</p><p>Note that the data presented in the manuscript were given with a Y-offset.</p><p><strong>Figure 4.d </strong></p><p>File: "Fig4d_010.txt, Fig4d_110.txt , Fig4bd_en.txt" </p><p>File structure (Left-to-right): YY….YY (Fig4d_010.txt, Fig4d_110.txt) vs. X (Fig4bd_en.txt)</p><p>Parallel momentum range from k=0 Å-1 to k=1.83 Å-1.</p><p>Energy range Ebin= 0 eV to Ebin= 2.6 eV.</p><p>Plot type: EDC, Sample: Post-annealed 26-ML Ni/Fe3O4(001), Crystal directions: [010] and [110]</p><p>Note that the data presented in the manuscript were given with a Y-offset.</p><p> </p><p><strong>%%% Figure 5 %%%</strong></p><p> </p><p><strong>Figure 5.a </strong></p><p>File: "Fig5a.txt"</p><p>File structure: Tab-separated YYX(Mg Ka) YYX(He Ia), where Y represents spectra taken from the pristine and post-annealed samples from left to right, respectively, and X denotes the binding energies.</p><p><strong>Figure 5.b </strong></p><p>File: "Fig5b.txt"</p><p>File structure : Tab separated YX-YYYX-YX</p><p>YX(Measurement) </p><p>Left-to-right (Y: The spectrum from the pristine sample, X: Binding energy)</p><p>YYYX(TDOS)</p><p>Left-to-right (Y: Spin up, Y: Spin down, Y: Spin Tot, X: Energy(X-offset: 4.943 eV) for NixFe3-xO4 (x=0))</p><p>YX(Gaussian-broadened TDOS) Broadening:0.5 eV</p><p>Left-to-right (Y: Spin Tot, X: Energy)</p><p><strong>Figure 5.c </strong></p><p>File: "Fig5c.txt"</p><p>File structure: Tab separated YX-YYYX-YX</p><p>YX(Measurement) </p><p>Left-to-right (Y: The spectrum from the post-annealed sample, X: Binding energy)</p><p>YYYX(TDOS)</p><p>Left-to-right (Y: Spin up, Y: Spin down, Y: Spin Tot, X: Energy(X-offset: 5.343 eV) for NixFe3-xO4 (x=1))</p><p>YX(Gaussian-broadened TDOS) Broadening:0.5 eV</p><p>Left-to-right (Y: Spin Tot, X: Energy)</p><p><strong>Figure 5.d </strong></p><p>File: "Fig5d.txt"</p><p>File structure: Tab separated YX-YYYX-YX</p><p>YX(Measurement) </p><p>Left-to-right (Y: XP spectrum from the post-annealed sample, X: Binding Energy)</p><p>YYYX(TDOS)</p><p>Left-to-right (Y: Spin up, Y: Spin down, Y: Spin Tot, X: Energy(X-offset: 5.593 eV) for NixFe3-xO4 (x=2))</p><p>YX(Gaussian-broadened TDOS) Broadening:0.5 eV</p><p>Left-to-right (Y: Spin Tot, X: Energy)</p><p><strong>Figure 5.e </strong></p><p>File: "Fig5e.txt"</p><p>File structure: Tab separated Y-YY-YY-X</p><p>Left-to-right (Y:Fe Total PDOS, Y: Fetet PDOS spin up, Y: Fetet PDOS spin down , Y: Feoct PDOS spin up, Y: Feoct PDOS spin down, X: Energy for for NixFe3-xO4 (x=0)) Gaussian Broadening: 0.2 eV</p><p><strong>Figure 5.f </strong></p><p>File: "Fig5f.txt"</p><p>File structure: Tab separated Y-YY-YY-YY-X</p><p>Left-to-right (Y: Ni and Fe Total PDOS, Y: Nioct PDOS spin up, Y: Nioct PDOS spin down , Y: Fetet PDOS spin up, Y: Fetet PDOS spin down, Y: Feoct PDOS spin up, Y: Feoct PDOS spin down, X: Energy(X-offset: 1.93 eV) for NixFe3-xO4 (x=1)) Gaussian Broadening: 0.2 eV</p><p><strong>Figure 5.g </strong></p><p>File: "Fig5g.txt"</p><p>File structure: Tab separated Y-YY-YY-X</p><p>Left-to-right (Y: Ni and Fe Total PDOS, Y: Nioct PDOS spin up, Y: Nioct PDOS spin down, Y: Fetet PDOS spin up, Y: Fetet PDOS spin down, X: Energy(X-offset: 2.12 eV) for NixFe3-xO4 (x=2)) Gaussian Broadening: 0.2 eV</p><p> </p><p><strong>%%% Figure 6 %%%</strong></p><p> </p><p><strong>Figure 6.a </strong></p><p>File: "Fig6a.txt"</p><p>File structure(Left-to-right): Tab separated Y-Y-Y-X</p><p>(Y: 120 ML, Y:50 ML, Y: 10 ML, X: Energy) (X-offset: 2 eV)</p><p><strong>Figure 6.b </strong></p><p>File: "Fig6b.txt"</p><p>File structure(Left-to-right): Tab separated Y-Y-Y-Y-X</p><p>(Y: 120 ML, Y:50 ML, Y: 10 ML, Y:Pristine, X: Ni 2p Energy) </p><p> </p><p><strong>%%% Figure 7 %%%</strong></p><p> </p><p><strong>Figure 7.a </strong></p><p>File: "Fig7a.txt"</p><p>File structure(Left-to-right): Tab separated Y-Y-Y-Y-X</p><p>(Y: 120 ML, Y:50 ML, Y: 10 ML, Y:Pristine, X: Energy) (X-offset: 2.8 eV)</p><p><strong>Figure 7.b </strong></p><p>File: "Fig7b.txt"</p><p>File structure(Left-to-right): Tab separated Y-Y-Y-Y-X</p><p>(Y: 120 ML, Y:50 ML, Y: 10 ML, Y:Pristine, X: Fe 2p Energy) </p><p> </p><p><strong>%%% Figure 8 %%%</strong></p><p> </p><p><strong>Figure 8.a </strong></p><p>File: "Fig8a.txt"</p><p>File structure(Left-to-right): Tab separated Y-Y-Y-Y-X</p><p>(Y: 120 ML, Y:50 ML, Y: 10 ML, Y:Pristine, X: Energy) (X-offset: 1.1 eV)</p><p><strong>Figure 8.b </strong></p><p>File: "Fig8b.txt"</p><p>File structure(Left-to-right): Tab separated Y-Y-Y-X</p><p>(Y: (120 ML-Pristine), Y: (50 ML-Pristine), Y: (10 ML-Pristine), X: Energy) </p><p> </p><p><strong>%%% SUPLLEMENTARY INFORMATION %%%</strong></p><p> </p><p><strong>%%% Figure SI3 %%%</strong></p><p> </p><p> File: "FigSI3_pristine.txt, FigSI3_26ML_AG.txt, FigSI3_26ML_PA.txt"</p><p>File structure (Left-to-right): XY1-XY2-XY3… XY9-XY10-XY11-XY12 (AG: As-grown, PA: Post-annealed)</p><p>XY1 – XY9 (Y: Fit Peak, X: Energy) </p><p>XY10 (Y: Cumulative Fit Peak, X: Energy) </p><p>XY11 (Y: Residue, X: Energy) </p><p>XY12 (Y: Shirley BG Subtracted XPS Measurement, X: Energy) </p><p> </p><p><strong>%%% Figure SI4 %%%</strong></p><p> </p><p><strong>Figure SI4.a</strong></p><p> File: "FigSI4_oct.txt"</p><p>File structure(Left-to-right): YYYYYY1-YYYYYY2-YYYYYY3… YYYYYY4-X</p><p>YYYYYY1 (Y: PDOS eg down, PDOS Tot down, PDOS t2g down, PDOS eg up, PDOS Tot up, PDOS t2g up) Layer: S</p><p>YYYYYY2 (Y: PDOS eg down, PDOS Tot down, PDOS t2g down, PDOS eg up, PDOS Tot up, PDOS t2g up) Layer: S-2</p><p>YYYYYY3 (Y: PDOS eg down, PDOS Tot down, PDOS t2g down, PDOS eg up, PDOS Tot up, PDOS t2g up) Layer: S-6</p><p>YYYYYY4 (Y: PDOS eg down, PDOS Tot down, PDOS t2g down, PDOS eg up, PDOS Tot up, PDOS t2g up) Layer: S-8</p><p>X: Energy</p><p><strong>Figure SI4.b</strong></p><p> File: "FigSI4_tet.txt"</p><p>File structure(Left-to-right): YYYYYY1-YYYYYY2-YYYYYY3… YYYYYY4-X</p><p>YYYYYY1 (Y: PDOS eg down, PDOS Tot down, PDOS t2g down, PDOS eg up, PDOS Tot up, PDOS t2g up) Layer: S-1</p><p>YYYYYY2 (Y: PDOS eg down, PDOS Tot down, PDOS t2g down, PDOS eg up, PDOS Tot up, PDOS t2g up) Layer: Interstitial Tet</p><p>YYYYYY3 (Y: PDOS eg down, PDOS Tot down, PDOS t2g down, PDOS eg up, PDOS Tot up, PDOS t2g up) Layer: S-3</p><p>YYYYYY4 (Y: PDOS eg down, PDOS Tot down, PDOS t2g down, PDOS eg up, PDOS Tot up, PDOS t2g up) Layer: S-7</p><p>X: Energy</p><p>Channeltron positions: 0.00 eV, 0.22 eV, 0.43 eV, 1.29 eV, 1.49 eV and 1.70 eV</p><p> </p><p><strong>%%% Figure SI5 %%%</strong></p><p> </p><p><strong>Figure SI5.a</strong></p><p>File: "FigSI5a_EF.txt, FigSI5a_0p22eV.txt, FigSI5a_0p43eV.txt, FigSI5a_1p29eV.txt, FigSI5a_1p49eV.txt, FigSI5a_1p70eV.txt "</p><p>File structure(Left-to-right): Tab separated YXZT</p><p><strong>Figure SI5.b</strong></p><p>File: "FigSI5b_EF.txt, FigSI5b_0p22eV.txt, FigSI5b_0p43eV.txt, FigSI5b_1p29eV.txt, FigSI5b_1p49eV.txt, FigSI5b_1p70eV.txt "</p><p>File structure(Left-to-right): Tab separated YXZT</p><p><strong>Figure SI5.c</strong></p><p>File: "FigSI5c_EF.txt, FigSI5c_0p22eV.txt, FigSI5c_0p43eV.txt, FigSI5c_1p29eV.txt, FigSI5c_1p49eV.txt, FigSI5c_1p70eV.txt "</p><p>File structure(Left-to-right): Tab separated YXZT</p><p> </p><p><strong>%%% Figure SI6 %%%</strong></p><p> </p><p><strong>Figure SI6.a</strong></p><p>File: "FigSI6a_EF.txt, FigSI6a_0p22eV.txt, FigSI6a_0p43eV.txt, FigSI6a_1p29eV.txt, FigSI6a_1p49eV.txt, FigSI6a_1p70eV.txt "</p><p>File structure(Left-to-right): Tab separated YXZT</p><p><strong>Figure SI6.b</strong></p><p>File: "FigSI6b_EF.txt, FigSI6b_0p22eV.txt, FigSI6b_0p43eV.txt, FigSI6b_1p29eV.txt, FigSI6b_1p49eV.txt, FigSI6b_1p70eV.txt "</p><p>File structure(Left-to-right): Tab separated YXZT</p><p><strong>Figure SI6.c</strong></p><p>File: "FigSI6c_EF.txt, FigSI6c_0p22eV.txt, FigSI6c_0p43eV.txt, FigSI6c_1p29eV.txt, FigSI6c_1p49eV.txt, FigSI6c_1p70eV.txt "</p><p>File structure(Left-to-right): Tab separated YXZT</p><p> </p><p><strong>%%% Figure SI7 %%%</strong></p><p> </p><p><strong>Figure SI7.a</strong></p><p>File: "FigSI7a.tif"</p><p>LEED Image (Energy=20 eV), Sample: Pristine Fe3O4(001)</p><p><strong>Figure SI7.b</strong></p><p>File: "FigSI7b.tif"</p><p>LEED Image (Energy=20 eV), Sample: As-grown 26 ML Ni/Fe3O4(001)</p><p> </p><p><strong>Figure SI7.c</strong></p><p>File: "FigSI7c.tif"</p><p>LEED Image (Energy=20 eV), Sample: Post-annealed 26 ML Ni/Fe3O4(001)</p><p> </p><p><strong>%%% Figure SI8 %%%</strong></p><p> </p><p>File: "FigSI8_XPS_and_UPS.txt, FigSI8_Fe3O4_DOS.txt, FigSI8_NiFe2O4_DOS.txt, FigSI8_Ni2FeO4_DOS.txt"</p><p>Experiment: FigSI8_XPS_and_UPS.txt</p><p>File structure(Left-to-right): Tab separated YYX(Mg Ka) YYX(He Ia), where Y are the spectra taken from the pristine and post-annealed sample left to right, respectively, and X donate the binding energies.</p><p>DOS (Fe3O4): FigSI8_Fe3O4_DOS.txt </p><p>File structure: YYYX(TDOS) - YX(Gaussian-broadened TDOS) Broadening:0.5 eV</p><p>(Y: Spin Tot, Y: Spin up, Y: Spin down, X: Energy) (X-offset: 4.943 eV)</p><p>(Y: Spin Tot, X: Energy) </p><p> </p><p>DOS (NiFe2O4): FigSI8_NiFe2O4_DOS.txt </p><p>File structure: YYYX(TDOS) - YX(Gaussian-broadened TDOS) Broadening:0.5 eV</p><p>(Y: Spin Tot, Y: Spin up, Y: Spin down, X: Energy) (X-offset: 5.343 eV)</p><p>(Y: Spin Tot, X: Energy)</p><p> </p><p>DOS (NiFe2O4): FigSI8_Ni2FeO4_DOS.txt </p><p>File structure: YYYX(TDOS) - YX(Gaussian-broadened TDOS) Broadening:0.5 eV</p><p>(Y: Spin Tot, Y: Spin up, Y: Spin down, X: Energy) (X-offset: 5.593 eV)</p><p>(Y: Spin Tot, X: Energy)</p><p> </p><p><strong>%%% Figure SI9 %%%</strong></p><p> </p><p><strong>Figure SI9.a</strong></p><p>File: "Fig9a.txt"</p><p>File structure: YYYYYY1-YYYYYY2-X</p><p>YYYYYY1 (Y: PDOS eg down, PDOS Tot down, PDOS t2g down, PDOS eg up, PDOS Tot up, PDOS t2g up) Coordination: Fe_oct</p><p>YYYYYY2 (Y: PDOS eg down, PDOS Tot down, PDOS t2g down, PDOS eg up, PDOS Tot up, PDOS t2g up) Coordination: Fe_tet</p><p>X: Energy</p><p><strong>Figure SI9.b</strong></p><p>File: "Fig9b.txt"</p><p>File structure: YYYYYY1-YYYYYY2-YYYYYY3-X</p><p>YYYYYY1 (Y: PDOS eg down, PDOS Tot down, PDOS t2g down, PDOS eg up, PDOS Tot up, PDOS t2g up) Coordination: Fe_oct</p><p>YYYYYY2 (Y: PDOS eg down, PDOS Tot down, PDOS t2g down, PDOS eg up, PDOS Tot up, PDOS t2g up) Coordination: Fe_tet</p><p>YYYYYY3 (Y: PDOS eg down, PDOS Tot down, PDOS t2g down, PDOS eg up, PDOS Tot up, PDOS t2g up) Coordination: Ni_oct</p><p>X: Energy</p><p><strong>Figure SI9.c</strong></p><p>File: "Fig9c.txt"</p><p>File structure(Left-to-right): YYYYYY1-YYYYYY2-X</p><p>YYYYYY1 (Y: PDOS eg down, PDOS Tot down, PDOS t2g down, PDOS eg up, PDOS Tot up, PDOS t2g up) Coordination: Fe_tet</p><p>YYYYYY2 (Y: PDOS eg down, PDOS Tot down, PDOS t2g down, PDOS eg up, PDOS Tot up, PDOS t2g up) Coordination: Ni_oct</p><p>X: Energy</p><p> </p><p><strong>%%% Figure SI10 %%%</strong></p><p> </p><p>File: "FigSI10_010.txt, FigSI10_110.txt, FigSI10_Energy.txt" </p><p>File structure(Left-to-right): YY….YY (FigSI10_010.txt, FigSI10_110.txt) vs. X (FigSI10_Energy.txt)</p><p>Parallel momentum range from k=0 Å-1 to k=1.83 Å-1.</p><p>Plot type: EDC, Sample: Pristine Fe3O4(001), Crystal directions: [010] and [110]</p><p>Note that the data presented in the manuscript were given with a Y-offset.</p><p> </p><p><strong>%%% Figure SI11 %%%</strong></p><p> </p><p><strong>Figure SI11.a </strong></p><p>File: "Fig SI11a.txt"</p><p>File structure(Left-to-right): Tab separated Y-Y-Y-X</p><p>(Y: 120 ML, Y:50 ML, Y: 10 ML, X: Energy) (X-offset: 2 eV)</p><p><strong>Figure SI11.b </strong></p><p>File: "Fig SI11b.txt"</p><p>File structure(Left-to-right): Tab separated Y-Y-Y-Y-X</p><p>(Y: 120 ML, Y:50 ML, Y: 10 ML, Y:Pristine, X: Ni 2p Energy)</p><p><strong>Figure SI11.c </strong></p><p>File: "FigSI11c.txt"</p><p>File structure(Left-to-right): Tab separated Y-Y-Y-Y-X</p><p>(Y: 120 ML, Y:50 ML, Y: 10 ML, Y: Pristine, X: Energy) (X-offset: 2.8 eV)</p><p><strong>Figure SI11.d </strong></p><p>File: "FigSI11d.txt"</p><p>File structure(Left-to-right): Tab separated Y-Y-Y-Y-X</p><p>(Y: 120 ML, Y:50 ML, Y: 10 ML, Y:Pristine, X: Fe 2p Energy)</p><p><strong>Figure SI11.e </strong></p><p>File: "FigSI11e.txt"</p><p>File structure(Left-to-right): Tab separated Y-Y-Y-Y-X</p><p>(Y: 120 ML, Y:50 ML, Y: 10 ML, Y: Pristine, X: Energy) (X-offset: 1.1 eV)</p><p><strong>Figure SI11.f </strong></p><p>File: "FigSI11f.txt"</p><p>File structure(Left-to-right): Tab separated Y-Y-Y-Y-X</p><p>(Y: 120 ML, Y:50 ML, Y: 10 ML, Y:Pristine, X: O 1s Energy)</p><p> </p>
Fig. 4. 2B in High and lowland dependent wing phenotypic variation of the dark blue tiger butterfly, Tirumala septentrionis (Butler, 1874) (Lepidoptera: Nymphalidae) with FE-SEM wing scales nanomorphology
Fig. 4. 2B-PLS analysis of T. septentrionis. (A) Forewing size; (B) Forewing shape; (C) Hindwing size; and (D) Hindwing shape.
Fig. 7 in High and lowland dependent wing phenotypic variation of the dark blue tiger butterfly, Tirumala septentrionis (Butler, 1874) (Lepidoptera: Nymphalidae) with FE-SEM wing scales nanomorphology
Fig. 7. Forewing shape analysis. Mlp female (A) % of variance, (B) PC1, (C) PC2, (D) PC3. Mlp male (E) % of variance, (F) PC1, (G) PC2, (H) PC3. Wyn female (I) % of variance, (J) PC1, (K) PC2, (L) PC3. Wyn male (M) % of variance, (N) PC1, (O) PC2, (P) PC3.
Fig. 10 in High and lowland dependent wing phenotypic variation of the dark blue tiger butterfly, Tirumala septentrionis (Butler, 1874) (Lepidoptera: Nymphalidae) with FE-SEM wing scales nanomorphology
Fig. 10. FE-SEM image analysis of T. septentrionis. Forewing brown regions (A–F), and bluish-white regions (G–J) of T. septentrionis. Hindwing brown regions (K–Q), and bluish-white regions (R–T). FE-SEM image of the male pouch scale of T. septentrionis (U–X). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1. T in High and lowland dependent wing phenotypic variation of the dark blue tiger butterfly, Tirumala septentrionis (Butler, 1874) (Lepidoptera: Nymphalidae) with FE-SEM wing scales nanomorphology
Fig. 1. T. septentrionis forewing (A) with 25 landmarks; hindwing (B) with 18 landmarks. male pouch represented in white circle.
Fig. 9 in High and lowland dependent wing phenotypic variation of the dark blue tiger butterfly, Tirumala septentrionis (Butler, 1874) (Lepidoptera: Nymphalidae) with FE-SEM wing scales nanomorphology
Fig. 9. Morphospace analysis. (A) forewing PCs morphospace analysis, PC1 vs. PC2; (B) forewing CVs morphospace analysis; (C) hindwing PCs morphospace analysis, PC1 vs. PC2; (D) hindwing CVs morphospace analysis. Alphabet code used in image – first three letter code indicated as the collection site and fourth letter for sex (male or female). For eg: MlpF – Malappuram female.
Fig. 6 in High and lowland dependent wing phenotypic variation of the dark blue tiger butterfly, Tirumala septentrionis (Butler, 1874) (Lepidoptera: Nymphalidae) with FE-SEM wing scales nanomorphology
Fig. 6. Sexual wing asymmetry (male vs. female) of T. septentrionis wings validated by Discriminant function analysis (DFA). Forewing of T. septentrionis (A–D) and hindwing of T. septentrionis (E–H). Alphabet code used in image – first three letter code indicated as the collection site and fourth letter for sex (male or female). For eg: MlpF – Malappuram female.
Fig. 8 in High and lowland dependent wing phenotypic variation of the dark blue tiger butterfly, Tirumala septentrionis (Butler, 1874) (Lepidoptera: Nymphalidae) with FE-SEM wing scales nanomorphology
Fig. 8. Hindwing shape analysis. Mlp female (A) % of variance, (B) PC1, (C) PC2, (D) PC3. Mlp male (E) % of variance, (F) PC1, (G) PC2, (H) PC3. Wyn female (I) % of variance, (J) PC1, (K) PC2, (L) PC3. Wyn male (M) % of variance, (N) PC1, (O) PC2, (P) PC3.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.