Find research datasets worth reusing

opencc-by-4.0Aug 2024View details →

PATRICIA Task 5.3 SPHERE benchmark Dataset.zip

This data set archive is related to the study of the SPHERE experiment performed in the frame of the Task 5.3 of the PATRICIA project. The complete study is documented in the corresponding deliverable D5.3 of PATRICIA. When expanding the archive file, the content is structured as follows: ·       “1 - Neutronics computations”: first level directory containing the input and output data related to the neutronic assessment of the SPHERE experiment. ü  “Input”: second level directory containing the input data required by the neutronic calculations. One can find in particular the definition the neutron spectrum in the HFR along the irradiation cycles of the SPHERE experiment – information provided by NRG, the operator of the HFR. ü  “Output”: second level directory containing the output data issued from the neutronic calculations. The data are distributed in two separate sub-directories, respectively related to the output from C4P-TRAIN and SERPENT-2. ·       “2 - FPCs computations”: first level directory containing the input and output data related to the simulation of the SPHERE experiment with the fuel performance codes. ü  “Input”: second level directory containing the input data required by the computations with the FPCs. One can find in particular the benchmark specifications, the nuclear data derived from the neutronic calculations and used on input by the FPCs (cross sections and fission yields), and the adopted definition of the irradiation history. ü  “Output & Comparisons CC CM”: second level directory containing the output data issued from the computations with the FPCs. A compilation of the PIE results in one EXCEL file is provided. The data are then distributed in two separate sub-directories: “Option 1 FAST” and “Option 2 THERMAL”, corresponding to the two complementary assumptions of fast and thermal spectrum retained for the computations. In each sub-directory are provided the results files from the different codes, and a synthesis file showing the code-to-code and calculation-to-measure comparisons. The synthesis files are named “SPHERE_FAST.xlsx” and “SPHERE_THERMAL.xlsx”.

opencc-by-4.0Jun 2021View details →

Magritte Sphere Video

# Magritte-Sphere Video sequence by LISA ULB The test sequence "Magritte Sphere Video" is provided by Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, Gauthier Lafruit, members of the LISA department, EPB (Ecole Polytechnique de Bruxelles), ULB (Universite Libre de Bruxelles), Belgium.  # License: CC BY-NC-SA  # Terms of Use: Anykind of publication or report using this sequence should refer to the following references. [1] Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, Gauthier Lafruit, "Magritte Sphere Video Test Sequence", 2021. @misc{fachada_magrittevideo_2021,     title = {{Magritte} {Sphere} {Video} {Test} {Sequence}},     author = {Fachada, Sarah and Bonatto, Daniele and Teratani, Mehrdad and Lafruit, Gauthier},     month = feb,     year = {2021},     doi = {10.5281/zenodo.5048270} } [2] Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, and Gauthier Lafruit, "Light Field Rendering for non-Lambertian Objects," presented at the Electronic Imaging, 2021. @inproceedings{fachada_light_2021,     title = {Light {Field} {Rendering} for non-{Lambertian} {Objects}},     booktitle = {Electronic {Imaging}},     author = {Fachada, Sarah and Bonatto, Daniele and Teratani, Mehrdad and Lafruit, Gauthier},     year = {2021} }  # Production: Laboratory of Image Synthesis and Analysis, LISA department, EPB, Universite Libre de Bruxelles, Belgium.  # Content: This dataset contains a test scene created and rendered with Blender [1] and the addon script [2] extended for Blender 2.8. We provide the Blender file and the rendered scene. The scene contains a non-Lambertian (transparent-refractive (T) or mirror-specular (M)) sphere rendered in a regular camera array of 21x21 cameras. It describes a spiral around a central initial position within 17 frames. In addition to the 3D model, we provide the rendered images : resolution of 2000x2000, the cameras are parallel, with a principal point at the center of the image. We provide 17 frames of:  - a regular subarray of 5x5 cameras (cameras number 66, 70, 74, 78, 82, 50, 154, 158, 162, 166, 234, 238, 242, 246, 250, 318, 322, 326, 330, 334, 402, 406, 410, 414, 418)  - the central horizontal line of 21 cameras (cameras 210 to 230) The dataset contains:  - a `camera.json` file in OMAF coordinates system (Camera position: X: forwards, Y:left, Z: up, Rotation: yaw, pitch, roll) [3],  - a `parameters.cfg` generated with [2],  - a `texture_M` folder containing the rendered views in yuv420p10le format for the mirror object,  - a `texture_T` folder containing the rendered views in yuv420p10le format for the transparent object,  - a `mask` folder containing the mask indicating the sphere in yuv420p format,  - a `depth_gt` folder containing the associated ground truth depth maps yuv420p16le format,  - a `depth_estimated_M` folder containing the associated estimated depth maps yuv420p16le format,  - a `depth_estimated_T` folder containing the associated estimated depth maps yuv420p16le format.      # References and links:   [1] Blender Online Community, "Blender - a 3D modelling and rendering package." Blender Institute, Amsterdam: Blender Foundation, 2020. [2] K. Honauer, O. Johannsen, D. Kondermann, and B. Goldluecke, "A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields" in Asian Conference on Computer Vision, 2016, https://github.com/lightfield-analysis/blender-addon https://github.com/dbonattoj/blender-addon [3] B. Kroon, "Reference View Synthesizer (RVS) manual [N18068]," ISO/IEC JTC1/SC29/WG11, Macau SAR, China, p. 19, Oct. 2018. https://mpeg.chiariglione.org/standards/mpeg-i/omnidirectional-media-format

opencc-by-4.0Jun 2021View details →

Magritte Sphere

# Magritte-Sphere sequence by LISA ULB The test sequence "Magritte Sphere" is provided by Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, Gauthier Lafruit, members of the LISA department, EPB (Ecole Polytechnique de Bruxelles), ULB (Universite Libre de Bruxelles), Belgium.  # License: CC BY-NC-SA  # Terms of Use: Anykind of publication or report using this sequence should refer to the following references. [1] Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, Gauthier Lafruit, "Magritte Sphere Test Sequence", 2021. @misc{fachada_magritte_2021,     title = {{Magritte} {Sphere} {Test} {Sequence}},     author = {Fachada, Sarah and Bonatto, Daniele and Teratani, Mehrdad and Lafruit, Gauthier},     month = feb,     year = {2021},     doi = {10.5281/zenodo.5048265} } [2] Sarah Fachada, Daniele Bonatto, Mehrdad Teratani, and Gauthier Lafruit, "Light Field Rendering for non-Lambertian Objects," presented at the Electronic Imaging, 2021. @inproceedings{fachada_light_2021,     title = {Light {Field} {Rendering} for non-{Lambertian} {Objects}},     booktitle = {Electronic {Imaging}},     author = {Fachada, Sarah and Bonatto, Daniele and Teratani, Mehrdad and Lafruit, Gauthier},     year = {2021} }  # Production: Laboratory of Image Synthesis and Analysis, LISA department, EPB, Universite Libre de Bruxelles, Belgium.  # Content: This dataset contains a test scene created and rendered with Blender [1] and the addon script [2] extended for Blender 2.8. We provide the Blender file and the rendered scene. The scene contains a non-Lambertian (transparent-refractive (T) or mirror-specular (M)) sphere rendered in a regular camera array of 21x21 cameras. In addition to the 3D model, we provide the rendered images : resolution of 2000x2000, the cameras are parallel, with a principal point at the center of the image. The dataset contains:  - a `camera.json` file in OMAF coordinates system (Camera position: X: forwards, Y:left, Z: up, Rotation: yaw, pitch, roll) [3],  - a `parameters.cfg` generated with [2],  - a `texture_M` folder containing the rendered views in png format for the mirror object,  - a `texture_T` folder containing the rendered views in png format for the transparent object,  - a `mask` folder containing the mask indicating the sphere,  - a `depth` folder containing the associated depth maps in exr format.      # References and links:   [1] Blender Online Community, "Blender - a 3D modelling and rendering package." Blender Institute, Amsterdam: Blender Foundation, 2020. [2] K. Honauer, O. Johannsen, D. Kondermann, and B. Goldluecke, "A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields" in Asian Conference on Computer Vision, 2016, https://github.com/lightfield-analysis/blender-addon https://github.com/dbonattoj/blender-addon [3] B. Kroon, "Reference View Synthesizer (RVS) manual [N18068]," ISO/IEC JTC1/SC29/WG11, Macau SAR, China, p. 19, Oct. 2018. https://mpeg.chiariglione.org/standards/mpeg-i/omnidirectional-media-format

opencc-by-4.0Dec 2022View details →

X-ray radiography 4D particle tracking of heavy spheres suspended in a turbulent jet

This database report 3d trajectories of heavy spheres suspended in a turbulent upward jet. A cylindrical tank is filled with water and the jet nozzle is placed on its axis on the bottom wall, and a constant flowrate (Q) of water is fed through the nozzle. Conditions at 1700 and 2200 mL/min are considered, and the number of spheres is varied between 1 and 12 (Nsphere). The spheres are glass and are detected using X-ray radiography at 60Hz. The 4d kinematics are obtained with this setup using radioSphere (E. Ando et al., Measurement Science and Technology, 32(9), 095405, 2021). Each condition has a series of files named based on the number of spheres in the tank Nsphere and the flowrate Q, with each sphere of index isphere having its own file. Each file is 3 columns of doubles representing the 3d coordinates x, y, and z of the sphere, in mm, where z is the axis of the cylinder and the points up, against gravity. Results from this database are published here: https://doi.org/10.1016/j.ijmultiphaseflow.2023.104406 O. Stamati, B. Marks, E. Ando, S. Roux, N. Machicoane, X-ray radiography 4D particle tracking of heavy spheres suspended in a turbulent jet, International Journal of Multiphase Flow 162, 104406, 2023.

opencc-by-4.0Mar 2023View details →

Dataset for "Self-assembly of dodecagonal and octagonal quasicrystals in hard spheres on a plane"

This dataset contains supplementary data for the publication: Self-assembly of dodecagonal and octagonal quasicrystals in hard spheres on a plane E. Fayen, M. Impéror-Clerc, L. Filion, G. Foffi, and F. Smallenburg   Contents: The folder Data contains subfolders for each of the simulations performed for the construction of Fig. 3 of the main paper. Each folder name contains the size ratio q, the fraction of large particles x_L, and the packing fraction e in the file name. Note that the fraction of large particles x_L is related to the quantity x_S used in the paper via x_L = 1 - x_S. For simulations that were run for longer times, an additional folder with the same naming convention is included in the subfolder Long. Each simulation subfolder includes: - A coordinate file "last.sph" representing the final configuration of the simulation in plain text format. In this file, the first line specifies the number of particles, the second line the box size and non-additivity parameter Delta, and the remaining lines the coordinates of the particles. Each line containing coordinates consists of a letter indicating particle species (a or b), three spatial coordinates (with the z-coordinate always zero), and the particle radius. All lengths are given in units of the large-particle diameter. - An image of the final particle configuration "snapshot.png". - An image representing the associated scattering pattern, obtained by taking the Fourier transform of the particle coordinates and plotting the result as a function of the 2D wave vector on a logarithmic color scale.   Additionally, the main folder contains a set of HTML files ("table_q*.html") that provide an overview of the snapshots and scattering patterns for each size ratio (specified in the file name). The HTML table for each size ratio uses the images from the "Data" and "Data/Long" subfolders as appropriate, and depends on the included "SAtable.css" and "SAtable.js" files. Within each table, clicking on one of the entries will enlarge the associated images.

opencc-by-4.0Mar 2022View details →

Data to generate the figures of: "Symmetry breaking of azimuthal waves: Slow-flow dynamics on the Bloch sphere"

The folder contains the data and scripts to generate all the figures of the paper, with detailed instructions. No experimental data was used for this article.

opencc-by-4.0Jun 2024View details →

Data package for "Fast event-driven simulations for soft spheres: from dynamics to Laves phase nucleation"

This dataset contains supporting data for the publication: Fast event-driven simulations for soft spheres: from dynamics to Laves phase nucleation A. Castagnède, L. Filion, and F. Smallenburg, J. Chem. Phys. 160 (2024), doi:10.1063/5.0209178, arXiv:2403:12755   Contents: The main folder data_package contains three subfolders: figures, SLNN, and snapshots. The figures subfolder contains supporting data for each of the figures found in the publication, accompanied by details on statepoints and methods in individual README files. The SLNN subfolder contains the trained neural network classifier used in this work for crystalline phase identification, alongside usage instructions and an exemple system to analyze. Finally, the snapshots subfolder contains supplementary snapshots of the crystalline clusters obtained in simulations.

opencc-by-4.0Sep 2024View details →

Data files for the manuscript "Extended kinetic theory applied to pressure-controlled shear flows of frictionless spheres between rigid, bumpy planes"

This depository contains the data of all DEM simulations used in the manuscript titled "Extended kinetic theory applied to pressure-controlled shear flows of frictionless spheres between rigid, bumpy planes" submitted to Soft Matter in July 2024. The data in the excel file are the measurements obtained after the coarse graining procedure.

opencc-by-4.0Jan 2023View details →

Data Archive: Local and Global Order in Dense Packings of Semiflexible Polymers of Hard Spheres

Data archive corresponding to the publication "Local and Global Order in Dense Packings of Semi-flexible 2 Polymers of Hard Spheres" by D. Martinez-Fernandez et al., Polymers 15, 551 (2023); DOI: https://doi.org/10.3390/polym15030551. Please see README.txt for instructions on how to access and read the files from the crystallographic analysis based on the CCE norm descriptor. All snapshots have been generated and successively analyzed by the Simu-D software.

opencc-by-4.0Feb 2023View details →

Polymorphism and Perfection in Crystallization of Hard Sphere Polymers

Data archive corresponding to the publications "Polymorphism and Perfection in Crystallization of Hard Sphere Polymers" by M. Herranz et al., Polymers 14, 4435 (2022); DOI: https://doi.org/10.3390/polym14204435 Please see README.txt for instructions on how to access and read the files from the crystallographic analysis based on the CCE norm descriptor. All snapshots have been generated and successively analyzed by the Simu-D software.

opencc-zeroMar 2023View details →

Materials Science Optimization Benchmark Dataset for Multi-Objective, Multi-Fidelity Optimization of Hard-Sphere Packing Simulations

Benchmarks are an essential driver of progress in scientific disciplines. Ideal benchmarks mimic real-world tasks as closely as possible, where insufficient difficulty or applicability can stunt growth in the field. Benchmarks should also have sufficiently low computational overhead to promote accessibility and repeatability. The goal is then to win a “Turing test” of sorts by creating a surrogate model that is indistinguishable from the ground truth observation (at least within the dataset bounds that were explored), necessitating a large amount of data. In the fields of materials science and chemistry, industry-relevant optimization tasks are often hierarchical, noisy, multi-fidelity, multi-objective, high-dimensional, and non-linearly correlated while exhibiting mixed numerical and categorical variables subject to linear and non-linear constraints. To complicate matters, unexpected, failed simulation or experimental regions may be present in the search space. In this study, 494498 random hard-sphere packing simulations representing 206 CPU days worth of computational overhead were performed across nine input parameters with linear constraints and two discrete fidelities each with continuous fidelity parameters and results were logged to a free-tier shared MongoDB Atlas database. Two core tabular datasets resulted from this study: 1. a failure probability dataset containing unique input parameter sets and the estimated probabilities that the simulation will fail at each of the two steps, and 2. a regression dataset mapping input parameter sets (including repeats) to particle packing fractions and computational runtimes for each of the two steps. These two datasets are used to create a surrogate model as close as possible to running the actual simulations by incorporating simulation failure and heteroskedastic noise. For the regression dataset, percentile ranks were computed within each of the groups of identical parameter sets to enable capturing heteroskedastic noise. This is in contrast with a more traditional approach that imposes a-priori assumptions such as Gaussian noise e.g., by providing a mean and standard deviation. A similar approach can be applied to other benchmark datasets to bridge the gap between optimization benchmarks with low computational overhead and realistically complex, real-world optimization scenarios. For usage instructions, see https://matsci-opt-benchmarks.readthedocs.io/.

opencc-by-4.0Nov 2020View details →

Raw and analyzed data for manuscript: "Superhydrophilic coating of pine wood by plasma functionalization of self-assembled polystyrene spheres"

Abstract: Self-assembling films typically used for colloidal lithography have been applied to pine wood substrates to change the surface wettability. Therefore, monodisperse polystyrene (PS) spheres have been deposited onto a rough pine wood substrate via dip coating. The resulting PS sphere film resembled a polycrystalline FCC-like structure with typical domain sizes of 5 – 15 single spheres. This self-assembled coating was further functionalized via an O2 plasma. This plasma treatment strongly influenced the particle sizes in the outermost layer, and hydroxyl as well as carbonyl groups were introduced to the PS spheres’ surfaces, thus generating a superhydrophilic behaviour.

opencc-by-4.0Jun 2017View details →

Eco-hydrology Cikapundung Project: Research Sphere

This image is uploaded as an integrated part of Eco-Hydrology Cikapundung project. This image will be cited across all future publications related to this project as CC-BY image. Therefore it should not be treated as prior publication of any kind. We used www.Draw.io and the source code is available on GIthub (https://github.com/dasaptaerwin/CikapundungProject/blob/master/researchStructure).

opencc-by-4.0Nov 2024View details →

Dataset to accompany publication "Distinguishing Inner and Outer-Sphere Hot Electron Transfer in Au/p-GaN Photocathodes"

This dataset accompanies the publication "Distinguishing Inner and Outer-Sphere Hot Electron Transfer in Au/p-GaN Photocathodes" published in Nano Letters. The data can be used to reproduce the original plots in figures 2-4 in the main text and all original plots in figures S1-S13 in the supporting information. All files are in .xlsx and easily readable.  The abstract for the associated paper is as follows: Exploring nonequilibrium hot carriers from plasmonic metal nanostructures is a dynamic field in optoelectronics, with applications including photochemical reactions for solar fuel generation. The hot carrier injection mechanism and the reaction rate are highly impacted by the metal/molecule interaction. However, determining the primary type of the reaction and thus the injection mechanism of hot carriers has remained elusive. In this work, we reveal an electron injection mechanism deviating from a purely outer-sphere process for the reduction of ferricyanide redox molecule in a gold/p-type gallium nitride (Au/p-GaN) photocathode system. Combining our experimental approach with ab-initio simulations, we discover that an efficient inner-sphere transfer of low-energy electrons leads to an enhancement in the photocathode device performance in the interband regime. These findings provide important mechanistic insights, showing our methodology as a powerful tool for analyzing and engineering hot-carrier-driven processes in plasmonic photocatalytic systems and optoelectronic devices.

opencc-by-4.0Dec 2023View details →

Bubble reachers and uncivil discourse in polarized online public sphere comments dataset

This dataset contains comments in Portuguese and English gathered from various sources, such as news websites from Brazil and Canada, social media sites like Facebook and Reddit, e-commerce reviews, Wikipedia comments, among others. Each comment is accompanied by a "toxicity" score provided by the Perspective API. Disclaimer: This file includes words or language that is considered profane, vulgar or offensive by some readers. Due to the topic studied in this article, quoting offensive language is academically justified, but we nor PLOS in no way endorse the use of these words or the content of the quotes. Likewise, the quotes do not represent the opinions of us or that of PLOS, and we condemn online harassment and offensive language. Column information: <ul> <li>preprocessed_text: the text after undergoing preprocessing steps;</li> <li>dataset: the given name of the dataset;</li> <li>source: the dataset's source name;</li> <li>dataset_source: a combination of the dataset name with its source to facilitate data aggregation tasks;</li> <li>TOXICITY: a continuous score between 0.0 and 1.0 provided by the Perspective API.</li> </ul> In addition to the comments, there is a spreadsheet containing analyses referenced in the article associated with this dataset.

opencc-by-4.0Mar 2024View details →

Electrochemical data plotted in A. Fasano, V. Fourmond and C. Léger, « Outer-sphere effects on the O2 sensitivity, catalytic bias and catalytic reversibility of hydrogenases », Chem. Sc. (2024). doi: 10.1039/D4SC00691G

Text files of the electrochemical data plotted in A. Fasano, V. Fourmond and C. Léger, « Outer-sphere effects on the O2 sensitivity, catalytic bias and catalytic reversibility of hydrogenases », Chem. Sc. (2024) (<a href="http://dx.doi.org/10.1039/D4SC00691G" target="_blank" rel="noopener">doi: 10.1039/D4SC00691G)</a>

opencc-by-4.0Apr 2022View details →

Comparing four hard-sphere approximations for the low-temperature WCA melting line

Data presented in "Comparing four hard-sphere approximations for the low-temperature WCA melting line". Abstract of paper: By combining interface-pinning simulations with numerical integration of the Clausius-Clapeyron equation we determine accurately the melting-line coexistence pressure and fluid/crystal densities of the Weeks-Chandler-Andersen (WCA) system covering four decades of temperature. The data are used for comparing the melting-line predictions of the  Boltzmann, Andersen-Weeks-Chandler, Barker-Henderson, and Stillinger hard-sphere approximations. The Andersen-Weeks-Chandler and the Barker-Henderson theories give the most accurate predictions, and they both work excellently in the zero-temperature limit for which analytical expressions are derived here.

opencc-by-4.0Aug 2022View details →

Text-fig. 9. Carpolithes (a–r). a–d: Carpolithes sp. 5. USNM PAL 772370. Scale bar = 5 mm, reflected light, palladium coated. a: Lateral view of seed, apex up, possible raphe descending from apex toward viewer. b: Lateral view of seed, apex up, possible raphe on right. c: Lateral view, opposite side, apex up, possible raphe on left. d: Apical view, note central pit with raphe descending towards bottom margin. e–h: Carpolithes sp. 6. USNM PAL 772371. Scale bar = 5 mm. e: Basal view illustrating depression and keel in plane of bisymmetry, reflected light, palladium coated. f–h: Micro-CT scan surface rendering. f: Lateral view showing relatively smooth rounded surface. g: Specimen rotated 180° from (f), surface partially eroded. h: Longitudinal view, showing median keel. i–m: Carpolithes sp. 7 USNM PAL 772372. Scale bar = 5 mm. i: View of intact face of globose fruit, possible apical constriction at top. j: Lateral view, intact surface to right, possible apical constriction at top, both micro-CT scan surface renderings. k: Apical view. l: Face view illustrating the mineral filling and the fine, radiating structure of the fruit wall on the left and right margins, both reflected light, palladium coated. m: Closeup of the cellular layer on the left of (l), micro-CT scan surface rendering. n–p: Carpolithes sp. 8. USNM PAL 772373. Scale bar = 3 mm, reflected light, palladium coated. n: Lateral view of pyrene-like structure, one ridge running vertically in the center of view, the other two forming the left and right margins. o: Lateral view of pyrene-like structure, ridge in (n) on the left. p: End-on view illustrating one convex, one concave, and one relatively flat to very slightly concave face. q, r: Carpolithes sp. 9 USNM PAL 772374. Scale bar = 5 mm, reflected light, palladium coated. q: Exterior of the smooth broken half-sphere. r: Interior of the broken half-sphere. in The Early Middle Eocene Wagon Bed Carpoflora Of Central Wyoming, U.S.A.

Text-fig. 9. Carpolithes (a–r). a–d: Carpolithes sp. 5. USNM PAL 772370. Scale bar = 5 mm, reflected light, palladium coated. a: Lateral view of seed, apex up, possible raphe descending from apex toward viewer. b: Lateral view of seed, apex up, possible raphe on right. c: Lateral view, opposite side, apex up, possible raphe on left. d: Apical view, note central pit with raphe descending towards bottom margin. e–h: Carpolithes sp. 6. USNM PAL 772371. Scale bar = 5 mm. e: Basal view illustrating depression and keel in plane of bisymmetry, reflected light, palladium coated. f–h: Micro-CT scan surface rendering. f: Lateral view showing relatively smooth rounded surface. g: Specimen rotated 180° from (f), surface partially eroded. h: Longitudinal view, showing median keel. i–m: Carpolithes sp. 7 USNM PAL 772372. Scale bar = 5 mm. i: View of intact face of globose fruit, possible apical constriction at top. j: Lateral view, intact surface to right, possible apical constriction at top, both micro-CT scan surface renderings. k: Apical view. l: Face view illustrating the mineral filling and the fine, radiating structure of the fruit wall on the left and right margins, both reflected light, palladium coated. m: Closeup of the cellular layer on the left of (l), micro-CT scan surface rendering. n–p: Carpolithes sp. 8. USNM PAL 772373. Scale bar = 3 mm, reflected light, palladium coated. n: Lateral view of pyrene-like structure, one ridge running vertically in the center of view, the other two forming the left and right margins. o: Lateral view of pyrene-like structure, ridge in (n) on the left. p: End-on view illustrating one convex, one concave, and one relatively flat to very slightly concave face. q, r: Carpolithes sp. 9 USNM PAL 772374. Scale bar = 5 mm, reflected light, palladium coated. q: Exterior of the smooth broken half-sphere. r: Interior of the broken half-sphere.

opencc-by-4.0Oct 2022View details →

SPHERE personas research

Data set for the interviews carried out to the developers on the SPHERE problem regarding the use of the UCD tool Personas