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python d » python _ (Expand Search), python 3 (Expand Search), python b (Expand Search)
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Dataset for CNN-based Bayesian Calibration of TELEMAC-2D Hydraulic Model
Published 2025“…</p><p dir="ltr">The dataset is organized into three ZIP files:</p><ul><li><b>DEPTHS.zip (319.5 MB)</b><br>This archive contains high-resolution GeoTIFF raster files representing water depth outputs from TELEMAC-2D simulations. …”
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Digital Twin for Chemical Sciences
Published 2025“…We first used the Data Generation.ipynb python notebook in the 1_inputs folder to generate the .csv files for one pressure condition, two pressure conditions, and six pressure conditions. …”
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Map of stations sampled during the 2023 and 2022 cruises along the coastal NESAP.
Published 2025“…The dashed contour line indicates the 200 m depth contour, using bathymetry data obtained from US National Geophysical Data Center (NGDC) ETOPO2 dataset (retrieved from: <a href="https://rda.ucar.edu/datasets/d759003/" target="_blank">https://rda.ucar.edu/datasets/d759003/</a>). …”
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Sonification of Warming Stripes
Published 2025“…The sonification was produced using the STRAUSS sonification Python package.</p><p dir="ltr">Here we release:<br>1. …”
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Attention and Cognitive Workload
Published 2025“…</p><p dir="ltr">The data for subject 2 do not include the 2nd part of the acquisition (python task) because the equipment stopped acquiring; subject 3 has the 1st (N-Back task and mental subtraction) and the 2nd part (python tutorial) together in the <code>First part</code> folder (file <code>D1_S3_PB_description.json</code> indicates the start and end of each task); subject 4 only has the mental subtraction task in the 1st part acquisition and in subject 8, the subtraction task data is included in the 2nd part acquisition, along with python task.…”
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Bacterial persistence modulates the speed, magnitude and onset of antibiotic resistance evolution
Published 2025“…</p><p dir="ltr">complete_data.xlsx</p><p dir="ltr">A single Excel file containing 18 sheets with data from all figures:</p><p dir="ltr">Sheet names and descriptions:</p><ul><li>Fig_1: Probability of emergence contour data</li><li>Fig_2_b: MIC evolution simulation data</li><li>Fig_2_c: Speed of resistance evolution data</li><li>Fig_2_d: Time to resistance data</li><li>Fig_2_a_d_time_series_sim7: Simulation time series data (representative simulation, low persistence)</li><li>Fig_2_a_d_MIC_values_sim7: MIC values from simulation (representative simulation, low persistence)</li><li>Fig_2_a_p_time_series_sim5: Simulation time series data (representative simulation, high persistence)</li><li>Fig_2_a_p_MIC_values_sim5: MIC values from simulation (representative simulation, high persistence)</li><li>Fig_3_a-b: Distribution plot simulation data</li><li>Fig_3_a-b_empirical: Distribution plot empirical data</li><li>Fig_4_a: Mutation count simulation data</li><li>Fig_4_b: Mutation count empirical data</li><li>Fig_4_c: Mutation functional data</li><li>Fig_5_a-b: Large-scale simulation results (heatmap data)</li><li>Fig_5_c_mic: MIC heatmap empirical data</li><li>Fig_5_c_extinction: Extinction heatmap empirical data</li><li>Fig_6: Population size analysis simulation data</li><li>S1_figure: Supplementary experimental survival data</li></ul><p dir="ltr">Column naming convention</p><p dir="ltr">All sheets use consistent, tidy column names.…”
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Daily histograms of wind speed (100m), wind direction (100m) and atmospheric stability derived from ERA5
Published 2025“…The following bins (left edges) have been used to create the histograms:</p><p dir="ltr">Wind speed: [0, 40) m/s (bin width 1 m/s)<br>Wind direction: [0,360) deg (bin width 15 deg)<br>Stability: 5 discrete stability classes (1: very unstable, 2: unstable, 3: neutral, 4: stable, 5: very stable)</p><p><br></p><p dir="ltr"><b>Main Purpose:</b> The dataset serves as minimum input data for the CLIMatological REPresentative PERiods (climrepper) python package (https://gitlab.windenergy.dtu.dk/climrepper/climrepper) in preparation for public release).…”
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<b>Dataset for manuscript: </b><b>Phylogenetic and genomic insights into the evolution of terpenoid biosynthesis genes in diverse plant lineages</b>
Published 2025“…After extracting the gene IDs, make sure to add a column header named "ID" in the output file (DXR.xlsx).</p><p dir="ltr"> Python Scripts (.py): These three scripts are executed in Visual Studio Code, using Python 3.10.4 as the runtime environment.…”
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Building footprtints from 1970s Hexagon spy satellite images for four global urban growth hotspots
Published 2025“…</p> <p><strong>Processing environment</strong></p> <p>This research has been conducted using Python for ESRI ArcGIS Pro version 3.2.1 and the TensorFlow package. …”
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Methodological overview.
Published 2025“…<p>(A) The source reconstruction of TMS-evoked potential of each subject was performed using dSPM method based on MNE software library. The time series of cortical activity were extracted through Schaefer 200 parcellation atlas. …”