Cai

12 files · 8.0 MB · npy

Lopez Dubon, Sergio · Sgarabotto, Alessandro · Lanzoni, Stefano

11 files · 38 MB · hdf5, npydeclared

This record contains the trained autoencoder, extracted encoder, and processed world/real-river latent-space reference cloud associated with the manuscript *A data-driven approach to discern the curvature spectral complexity of compound meander bends*. The full autoencoder is provided to support reconstruction-based validation and reproducibility of the learned representation. The extracted encoder is provided for inference and future software tools. It maps preprocessed 64 × 64 single-channel curvature-spectrum images to the two-dimensional latent space used to analyse meander shape complexity and skewness. The file `world_latent_cloud.npy` contains the two-dimensional latent coordinates of the world/real-river meander dataset used as the reference background cloud in the manuscript latent-space figures. This file is a processed latent-coordinate dataset only; it does not contain raw satellite imagery, raw centreline geometries, or training images. The release includes model weights, architecture files, model summaries, export metadata, the world/real-river latent cloud, example inference scripts, a validation script, environment files, and a minimal example input. The models should only be applied to curvature-spectrum images generated consistently with the preprocessing workflow described in the associated manuscript. Main files included in this release are: - trained_autoencoder.h5: full trained autoencoder. - encoder_only.h5: extracted encoder in HDF5/Keras format. - encoder_only.keras: extracted encoder in native Keras format. - model_architecture.json: full autoencoder architecture. - encoder_architecture.json: encoder architecture. - model_summary.tx and encoder_summary.txt: layer summaries. - world_latent_cloud.npy: world/real-river reference latent-space cloud. - world_latent_cloud_metadata.json: metadata for the world/real-river latent-space cloud. - model_card.md: intended use, inputs, outputs, limitations, and citation guidance.

Ou, Te-Yu · Gu, Rong-Yu · Jang, Yi-Shin · et al.

26 files · 2.2 GB · csv, netcdf, npydeclared

Version history Version 2: This version updates Figure1.py and MainFigure.ipynb to match the revised manuscript submitted to Geophysical Research Letters. Specifically, a scale bar was added to Figure 1. No changes were made to the input datasets, analysis workflow, or scientific results. Code All results were analyzed and visualized by Python version 3.9.18. Filename Description MainFigures.ipynb Jupyter Notebook for reproduce all figures in the article. Figure*.py Python file for reproduce each figure in the article. Data Ground Station Observation Filename Description 467530_hr_19800101_20230101.csv Alishan station data managed by Central Weather Administration (CWA) of Taiwan, which is generated from Atmospheric Science Research and Application Databank . Solar Radiation Reduction Ratio (RR SR ) Results Filename Description ReductionRatio_20151001_20220930_31_daily.nc RR SR of Taiwan (119.9°E-122.1°E, 21.8°N-25.4°N, 0.01° x 0.01°) from 2015-10-01 to 2022-09-30, which is generated from TCCIP Grid-point Surface Insolation Derived from Geostationary Satellite Dataset . *_hr_20151001_20220930_seasonal.csv Seasonal mean RR SR for 6 CWA stations (Alishan, Anbu, Yushan, Sun Moon Lake, Chiayi, and Keelung). *_hr_20151001_20220930_DJF_NE_means.csv Winter (December-February) event-mean RR SR for 6 CWA stations (Alishan, Anbu, Yushan, Sun Moon Lake, Chiayi, and Keelung). Land and Non-rainy Mask Filename Description LandNonRainyMask_2015_2022.nc Mask for land area and non-rainy data, which is generated from TCCIP Gridded Historical Daily Dataset for Taiwan . Land-type Classification Generated from Schulz et al. (2017) . Filename Description MCF2017.zip Shapefile of montane cloud forests (MCFs) region in Taiwan. nonMCF2017.zip Shapefile of forest region other than montane cloud forest in Taiwan. MCFfraction_TCCIP.npy Forest classification in Taiwan regrid to TCCIP dataset. North-easterlies events classification Adopted from Taiwan Atmospheric Event Database . Filename Description TAD_NE.csv North-easterlies events classification based on the criteria of Taiwan Atmospheric Event Database (TAD). Others Generated from Open Data in Taiwan . Filename Description Taiwan_WGS84.zip Shapefile of coastlines of Taiwan. dem20_TCCIPInsolation.nc Digital Elevation Model of Taiwan regrid to TCCIP dataset. Note Please unzip .zip first to get shapfile before reproduce the figures in the article.

Meekes, Lisa · Tabaro, Francesco · Bexkens, Michiel · et al.

41 files · 8.2 GB · csv, fasta, pdfdeclared

This record contains the Python software for PEPTiGEN, a tool for generating tryptic peptides from prokaryotic gene sequences and their variants, and the associated antimicrobial resistance (AMR) peptide database. The database is provided as an SQL file and a CSV file containing all genes and predicted peptides. The README file contains explanation of the PEPTiGEN tool. The SQL database schema files contains both the database schema of the SQL database used in the PEPTiGEN analysis as the database schema of the AMR peptide datbase.

Flowerdew, Jake

6 files · 1.3 GB · csv, npydeclared

Voltage calibration data taken on 10/06/2026 of all ten 10 MHz PS cavities (exluding the spare C11). Measurements were taken, pulsing each cavity individually at harmonics h7 - h21 and voltages of 10 kV, 12.5 kV, 15 kV, 17.5 kV and 20 kV. Note, due to cavity trips, no useful data was collected for C10-46 and C10-86.

Liu, Yixuan · Meyer, Renate · Christensen, Nelson · et al.

10 files · 2.0 GB · gzip, npydeclared

LISA Data data.npy (original data) true_matrix.npy (true PSD) true_freq.npy (frequencies for the true PSD) ET data caseA_original.RData (original data) caseA_nlized.RData (normalized data) caseA_true_psd.RData (true PSD) caseA_freq_psd.RData (frequencies for the true PSD) caseA_mpg_orig.RData (periodogram of the full data) caseA_freq_mpg.RData (frequencies for the periodogram of the full data) vnpc.avg_0.1.0.tar.gz (source file for the R-package vnpc.avg used in the main paper)

Jensen, Anders

60 files · 7.4 GB · netcdf, npydeclared

See the readme

Ji, Junyi

5 files · 14 MB · npydeclared

Yang, Xin · Wang, Yifei · Yang, Shengyong

8 files · 95 GB · gzip, npydeclared