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FIGURE 2 in Computational fluid dynamics modeling of fossil ammonoid shells
FIGURE 2. All of the shells employed in this study plotted in Westermann morphospace. The 3D models used for each member are shown to the right of the name/designation in the legend. Cardioceras, Oppelia, and Sphenodiscus are based on the shells employed in Jacobs (1992), Nautilus pompelius was created using laser scans and scaled to two different sizes (life-size [approx. 14.5 cm] and 5 cm diameter), and all other shells were created to match basic Westermann morphotypes (Westermann, 1996; Ritterbush and Bottjer, 2012).
Molecular isotopologies of configurationally locked polyenes - mass spectrometric data and theoretical computations (supporting information)
<p>The dataset contains:</p> <p><br>1. CLPs_exp_screenshots.pdf - screenshots of experimental chromatographic and mass spectrometric data (*.raw format.)<br>2. Experimental mass spectrometric files in mzXML format as follows:</p> <p>- CLP-57.mzXML - Chromatographic and HESI-MS data on 5,5-dimethyl-3-[2-(4-pyrrolidin-1-yl-phenyl)-vinyl]-cyclohex-2-enone intermediate among other chemicals of the reaction mixture.<br>- CLP-57-apci.mzXML - Chromatographic and APCI-MS data on 5,5-dimethyl-3-[2-(4-pyrrolidin-1-yl-phenyl)-vinyl]-cyclohex-2-enone intermediate among other chemicals of the reaction mixture.<br>- CLP-58.mzXML - Chromatographic and HESI-MS data on 5,5-dimethyl-3-[2-(4-morpholin-4-yl-phenyl)-vinyl]-cyclohex-2-enone intermediate among other chemicals of the reaction mixture.<br>- CLP-58-apci.mzXML - Chromatographic and APCI-MS data on 5,5-dimethyl-3-[2-(4-morpholin-4-yl-phenyl)-vinyl]-cyclohex-2-enone intermediate among other chemicals of the reaction mixture.<br>- CLP-61.mzXML - Chromatographic and HESI-MS data on 3-[2-(4-dimethylamino-phenyl)-vinyl]-5,5-dimethyl-cyclohex-2-enone intermediate among other chemicals of the reaction mixture.<br>- CLP-61-apci.mzXML - Chromatographic and APCI-MS data on 3-[2-(4-dimethylamino-phenyl)-vinyl]-5,5-dimethyl-cyclohex-2-enone intermediate among other chemicals of the reaction mixture.</p> <p>3. Theoretical quantum chemical static and molecular dynamics input and output files of mass spectrometric parent and product ions, using atom-centered density matrix propagation method and thermostat. <br> </p>
Computer Vision-Based Algorithm for Precise Defect Detection and Classification in Photovoltaic Modules
Open the record for dataset details and reuse information.
Electronic transport computation in thermoelectric materials: from ab initio scattering rates to nanostructures
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Computed Results for the Avulsed Channel Process on the Modern Yellow River Delta
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Supporting Data for Manuscript "Unraveling Thermally Regulated Gating Mechanisms in TPT Pore-Partitioned MOF-74: A Computational Endeavor"
<p>This dataset contains the supplementary computational data associated with the research article titled "Unraveling Thermally Regulated Gating Mechanisms in TPT Pore-Partitioned MOF-74: A Computational Endeavor" (currnetly under review). It encompasses trajectory files and calculated properties of TPT-X ligands in various modeling scenarios, providing insights into their dynamic behavior within the MOF-74 framework under different conditions.</p>
TRMM-based gridded climatology required for computing SEEPS
<p>Gridded climatology required for computing the Stable Equitable Error in Probability Space (SEEPS) for use in METplus</p> <p>https://github.com/dtcenter/MET</p> <p>https://doi.org/10.1175/MWR-D-20-0347.1</p>
Code and data for: A computational model for driver's cognitive state, visual perception and intermittent attention in a distracted car following task
<p>A source code and data dump for analyses of the article "A computational model for driver’s cognitive state, visual perception and intermittent attention in a distracted car following task"</p> <p>Code is under GNU AGPL-v3. Data under CC-BY-4.0</p> <p>Versioned code is available at https://gitlab.com/mulsimco/follow17 and https://gitlab.com/mulsimco/cfmodels</p> <p>See README.md in follow17 for usage.</p>
Figure 6 from: Jochum A, Ruthensteiner B, Kampschulte M, Martels G, Kneubühler J, Favre A (2018) Fulfilling the taxonomic consequence after DNA Barcoding: Carychium panamaense sp. n. (Eupulmonata, Ellobioidea, Carychiidae) from Panama is described using computed tomographic (CT) imaging. ZooKeys 795: 1-12. https://doi.org/10.3897/zookeys.795.29339
Figure 6 Type locality of Carychiumpanamaense sp. n., A El Retoño Trail, La Amistad International Park, Cerro Punta, Chiriquí Prov., Panama B broadleaf forest litter with white arrows indicating C.panamaense sp. n. on leaves C–D close-up view of live individuals crawling on leaf.
Figure 5 from: Jochum A, Ruthensteiner B, Kampschulte M, Martels G, Kneubühler J, Favre A (2018) Fulfilling the taxonomic consequence after DNA Barcoding: Carychium panamaense sp. n. (Eupulmonata, Ellobioidea, Carychiidae) from Panama is described using computed tomographic (CT) imaging. ZooKeys 795: 1-12. https://doi.org/10.3897/zookeys.795.29339
Figure 5 Comparative material (Jochum et al. 2017), C.belizeense Jochum & Weigand, 2017 paratype (NMBE 549924/8), C.costaricanum E. von Martens, 1898 (RBINS 10591), C.floridanum Clapp, 1918 (CM 46540), C.hardiei Jochum & Weigand, 2017 paratype (NMBE 549921/8), C.jardineanum (Chitty, 1853) (AJC 2321), C.mexicanum Pilsbry, 1891 (AJC 2092). CT images showing columellar apparatus, configuration of the columellar lamella and umbilical perspectives showing peristome configuration in allied Central American, Southeast USA and Caribbean species. Scale bar: 1 mm.
Figure 3 from: Jochum A, Ruthensteiner B, Kampschulte M, Martels G, Kneubühler J, Favre A (2018) Fulfilling the taxonomic consequence after DNA Barcoding: Carychium panamaense sp. n. (Eupulmonata, Ellobioidea, Carychiidae) from Panama is described using computed tomographic (CT) imaging. ZooKeys 795: 1-12. https://doi.org/10.3897/zookeys.795.29339
Figure 3 Carychiumpanamaense sp. n. A–C paratype shells preserved in alcohol (NMBE 554432). Scale bar: 1 mm.
Figure 4 from: Jochum A, Ruthensteiner B, Kampschulte M, Martels G, Kneubühler J, Favre A (2018) Fulfilling the taxonomic consequence after DNA Barcoding: Carychium panamaense sp. n. (Eupulmonata, Ellobioidea, Carychiidae) from Panama is described using computed tomographic (CT) imaging. ZooKeys 795: 1-12. https://doi.org/10.3897/zookeys.795.29339
Figure 4 A–JCarychiumpanamaense sp. n. holotype (NMBE 554428/1), CT images, partly with external shell transparent to show columellar apparatus I aerial view of protoconch and spire J umbilical view K–T allied Panamanian species topotype, Carychiumzarzaae, Jochum & Weigand, 2017 (AJC 2385). CT images, partly with external shell transparent to show columellar apparatus S aerial view of protoconch and spire T umbilical view. Scale bar: 1 mm.
Figure 1 from: Jochum A, Ruthensteiner B, Kampschulte M, Martels G, Kneubühler J, Favre A (2018) Fulfilling the taxonomic consequence after DNA Barcoding: Carychium panamaense sp. n. (Eupulmonata, Ellobioidea, Carychiidae) from Panama is described using computed tomographic (CT) imaging. ZooKeys 795: 1-12. https://doi.org/10.3897/zookeys.795.29339
Figure 1 Map indicating type localities of the two Panamanian Carychium species, C.panamaense sp. n. and C.zarzaae Jochum & Weigand, 2017 and of the Jamaican allied species, C.jardineanum (Chitty, 1853). The grayscale indicates the local mean elevation. Map downloaded from WORLDCLIM (Hijmans et al. 2005); political borders retrieved from Esri Data and Maps (2002).
Figure 2 from: Jochum A, Ruthensteiner B, Kampschulte M, Martels G, Kneubühler J, Favre A (2018) Fulfilling the taxonomic consequence after DNA Barcoding: Carychium panamaense sp. n. (Eupulmonata, Ellobioidea, Carychiidae) from Panama is described using computed tomographic (CT) imaging. ZooKeys 795: 1-12. https://doi.org/10.3897/zookeys.795.29339
Figure 2 Carychiumpanamaense sp. n. A–D holotype (NMBE 554428/1) E–G paratype shells (NMBE 554429/3). Scale bar: 1 mm.
Computational Artifacts for Performance Feedback Autoscaling Experiments with Workloads of Workflows in Apache Airflow
<p>These computational artifacts are related to the software artifacts DOI:10.5281/zenodo.2635571</p> <p><strong>The content of the computational artifacts:</strong></p> <ul> <li><strong>experiments.pdf</strong> contains the list of all the conducted experiments with the Airflow system. Experiment IDs are not sequential since some experiments required rerunning, etc., we report only successful results. The file lists different experiment configurations, e.g., the number of processed workflows, the name of the used workload, the user budgets, and PFA settings.</li> <li><strong>db.tar.gz</strong> contains directories with Airflow database snapshots and autoscaler logs. The names of the directories correspond to those listed in `experiments.pdf`. Each experiment directory contains an autoscaler log and a full copy of a PostgreSQL database directory just after each experiment finished. The database name is `airflow`, the user name is `ailyushk`. Within each database, most of the paper-related data are stored in the `stat_log` table. The scripts for extracting data from these databases are available as software artifacts in `tools/analysis`.</li> <li><strong>gurobi.tar.gz</strong> contains the results obtained from the Gurobi solver when solving the MIP model.</li> <li><strong>pdf.tar.gz</strong> contains all the figures in pdf format, also those that were not included neither in the paper nor in the technical report. The scripts for creating this plots are delivered as software artifacts.</li> <li><strong>csv.tar.gz</strong> contains the analysis results extracted from Airflow database snapshots. These files are used to create the plots in the `pdf` directory. The scripts for doing this are delivered as software artifacts.</li> <li><strong>wl1.tar.gz</strong> is the first synthetic realistic workload (WL I) with three subsets of 200 workflows each (`1_0`, `1_1`, `1_2`). Each directory contains the file with interarrivals `interarrivals.txt`, and the file with workflow IDs `workload.txt` in the subset. The `dags` directory contains Python-based Airflow descriptors and CSV files that summarise the same descriptors in CSV format for simpler analysis. The scripts for extracting workload statistics from these CSV files are available in the software artifacts in `tools/analysis`. The `inputs` directory contains initial input files for each worfklow. The `dax` contains original DAX files obtained from the generator: <a href="https://github.com/pegasus-isi/WorkflowGenerator/tree/master/bharathi/src/simulation/generator">https://github.com/pegasus-isi/WorkflowGenerator/tree/master/bharathi/src/simulation/generator</a></li> <li><strong>wl2.tar.gz</strong> is the second synthetic realistic workload (WL II) with three subsets of 200 workflows each (`4_0`, `4_1`, `4_2`). Has similar structure as `wl1.tar.gz`, except that `dax` directory is omitted, as WL II uses the same DAX structures as WL I.</li> <li><strong>wl3.tar.gz</strong> is the small synthetic workload based on WL I for the experiment with the MIP solver, contains three subsets with 5 workflows in each, all in the `3_0` directory (thus, the structure differs from the WL I and WL II). The input data files are empty. The identifiers of workflows forming each subset are stored in the `workload_1.txt`, `workload_2.txt`, and `workload_3.txt` files.</li> </ul>
Figure 8 from: Jochum A, Prieto CE, Kampschulte M, Martels G, Ruthensteiner B, Vrabec M, Dörge DD, de Winter AJ (2019) Re-evaluation of Zospeum schaufussi von Frauenfeld, 1862 and Z. suarezi Gittenberger, 1980, including the description of two new Iberian species using Computer Tomography (CT) (Eupulmonata, Ellobioidea, Carychiidae). ZooKeys 835: 65-86. https://doi.org/10.3897/zookeys.835.33231
Figure 8 Animated video from CT scans of Zospeumschaufussi von Frauenfeld, 1862, lectotype (NHMW 71837). Scale bar: 500 μm.
Figure 9 from: Jochum A, Prieto CE, Kampschulte M, Martels G, Ruthensteiner B, Vrabec M, Dörge DD, de Winter AJ (2019) Re-evaluation of Zospeum schaufussi von Frauenfeld, 1862 and Z. suarezi Gittenberger, 1980, including the description of two new Iberian species using Computer Tomography (CT) (Eupulmonata, Ellobioidea, Carychiidae). ZooKeys 835: 65-86. https://doi.org/10.3897/zookeys.835.33231
Figure 9 SEM-EDX spectroscopic images showing spectrum of elemental content in sediment encrusted on different regions of the lectotype of Zospeumschaufussi von Frauenfeld, 1862 (NHMW 71837). A–D Concentrations within yellow-framed zone of calcium (Ca), aluminum (Al), silicon (Si), magnesium (Mg), oxygen (O), carbon (C), iron (Fe), potassium (K), phosphor (P) and lead (Pb).
Figure 7 from: Jochum A, Prieto CE, Kampschulte M, Martels G, Ruthensteiner B, Vrabec M, Dörge DD, de Winter AJ (2019) Re-evaluation of Zospeum schaufussi von Frauenfeld, 1862 and Z. suarezi Gittenberger, 1980, including the description of two new Iberian species using Computer Tomography (CT) (Eupulmonata, Ellobioidea, Carychiidae). ZooKeys 835: 65-86. https://doi.org/10.3897/zookeys.835.33231
Figure 7 CT images showing columellar apparatus of Zospeumschaufussi von Frauenfeld, 1862, lectotype (NHMW 71837). Scale bar: 500 μm.
Figure 4 from: Jochum A, Prieto CE, Kampschulte M, Martels G, Ruthensteiner B, Vrabec M, Dörge DD, de Winter AJ (2019) Re-evaluation of Zospeum schaufussi von Frauenfeld, 1862 and Z. suarezi Gittenberger, 1980, including the description of two new Iberian species using Computer Tomography (CT) (Eupulmonata, Ellobioidea, Carychiidae). ZooKeys 835: 65-86. https://doi.org/10.3897/zookeys.835.33231
Figure 4 A–CZospeumschaufussi von Frauenfeld, 1862, Cueva del Búho, Puente Viesgo, Santander, (holotype of Z.suarezi, RMNH.MOL.55383) D–EZ.praetermissum sp. n., Cueva del Puente de Inguanzo (RMNH.MOL55389). Scale bar: 500 μm.
Figure 2 from: Jochum A, Prieto CE, Kampschulte M, Martels G, Ruthensteiner B, Vrabec M, Dörge DD, de Winter AJ (2019) Re-evaluation of Zospeum schaufussi von Frauenfeld, 1862 and Z. suarezi Gittenberger, 1980, including the description of two new Iberian species using Computer Tomography (CT) (Eupulmonata, Ellobioidea, Carychiidae). ZooKeys 835: 65-86. https://doi.org/10.3897/zookeys.835.33231
Figure 2 Zospeumschaufussi von Frauenfeld, 1862, lectotype and labels (NHMW 71837). Scale bar: 1 mm.
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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.