Altenhoff, Adrian

6 files · 100 MB · hdf5

OMAmer - tree-driven and alignment-free protein assignment to subfamilies OMAmer is an alignment-free protein family assignment method designed to avoid overly specific subfamily predictions and to scale efficiently to phylogenomic databases containing thousands of genomes. It relies on an innovative approach that uses evolutionarily informed k-mers for alignment-free mapping to ancestral protein subfamilies. This dataset provides precomputed OMAmer databases derived from the Hierarchical Orthologous Groups in the OMA Browser . We aim to update these databases with every new OMA Browser release. Each OMAmer database is built using the latest version of the OMAmer package available at the time of the corresponding OMA Browser release. The dataset includes databases for different subsets of the species taxonomy. In most cases, we recommend using the LUCA.h5 database, which contains information from all species in the OMA database. The subset-specific databases are mainly useful when disk space is limited. The release May2026 is based on the OMA Browser release May 2026 which comprises 2983 species. We used OMAmer version 2.1.0 to build these databases.

Zhang, Yunwei

6 files · 40 GB · hdf5, zipdeclared

Files related to INVNET, a deep learning model for surface wave dispersion spectrum inversion in geophysics.

Geisler, Jan · Rakhimberdiev, Eldar · Boom, Michiel P. · et al.

29 files · 124 MB · csv, shapefiledeclared

1. Many migratory birds now reach their Arctic breeding grounds earlier in order to keep pace with advancing springs and shifting nutrient peaks, either by departing earlier from non-breeding grounds or by travelling faster. For dark-bellied brent geese, there is limited potential to travel faster, as their migration to the Siberian breeding grounds is already among the fastest of Arctic geese and swans. Earlier departure would require reaching departure body mass earlier, either through a faster accumulation of energy stores during spring staging or via adjustments earlier in the annual cycle. 2. We examined long-term shifts in spring staging phenology and changes in winter and spring body mass trajectories of brent geese at the population level, with particular emphasis on the effects of winter temperature on body mass and spring body mass on departure timing. 3. We used more than five decades of body mass measurements from individuals caught in the United Kingdom and France, and in the Dutch Wadden Sea to reconstruct changes in spring and winter mass trajectories, respectively. These data were combined with over five decades of migration counts in the Netherlands and more than two decades of counts in Denmark to quantify changes in spring staging phenology. 4. We found that brent geese have not shifted their spring arrival in the Wadden Sea but have advanced departure timing. Furthermore, brent geese were heavier during and after milder winters, and have changed mass trajectories over recent decades. They no longer lose mass during winter and the second spring staging phase, and fuelling rates in the first spring staging phase have declined. Annual variation in body mass was not related to annual departure timing. 5. These results suggest that milder winters have relaxed energetic constraints and improved body condition in brent geese throughout the non-breeding season. Our findings highlight the importance of considering the full annual cycle when assessing how animals with limited capacity to adjust migration timing or speed respond to global change.

Tiskus, Edvinas · Tiškuvienė, Rūta · Bučas, Martynas · et al.

37 files · 1.6 GB · hdf5, tiff, torchdeclared

This record contains the labeled data, trained models, and analysis code supporting the article "Comparing a Vision Foundation Model (DINOv3) and a Task-Specific U-Net for Mapping Emergent Aquatic Vegetation from Fused UAV Multispectral and LiDAR Data" (Remote Sensing in Ecology and Conservation). Contents: - masks/ : georeferenced ground-truth segmentation masks (five classes: aquatic vegetation, water, sand, other objects, background), aligned to the fused UAV orthomosaics and spanning 13 sites across nine Lithuanian waterbodies surveyed between May and August 2024. - models/ : the two final trained segmentation models, a Keras/HDF5 U-Net and a PyTorch DINOv3 model. - code/ : Python scripts for training, evaluation, the label-efficiency experiment, and full-scene prediction. The fused 9-band orthomosaics (five-band multispectral, RGB, and a LiDAR canopy height model; approximately 62 GB) are archived separately because of their size and are available from the corresponding author on request. The DINOv3 SAT-493M pretrained backbone is distributed by Meta under its own license and is not redistributed here; obtain it from the official DINOv3 release.

Han, Bingbing · Li, Zhaolei

2 files · 429 KB · xlsdeclared

This dataset compiles published observational data of soil galactosamine across global terrestrial ecosystems. Relevant data were extracted from peer-reviewed literature via a systematic literature screening workflow, encompassing measured concentrations of soil amino galactose as well as matching covariates including soil properties, climatic conditions, microbial attributes, and ecosystem characteristics. All records in this dataset were harmonized through standardized unit conversion, rigorous quality control and cross-consistency verification to facilitate cross-study comparative analyses. This dataset is applicable to investigations into the global biogeographical distribution patterns of soil galactosamine.

Valencia Arias, Jhoany Alejandro · Rodríguez-Lora, Vanessa · Rua Hernandez, Juan Camilo · et al.

2 files · 2.0 MB · csv, xlsdeclared

This dataset contains the bibliographic records retrieved from the Web of Science Core Collection and Scopus databases for a bibliometric analysis of digital collaborative learning. The dataset includes the original export files from both databases in their native formats, preserving the complete bibliographic metadata required for bibliometric and science mapping analyses. The records were collected using a predefined search strategy designed to ensure transparency and reproducibility. These data can be used to replicate the bibliometric analysis, validate the study findings, or conduct complementary analyses using bibliometric software such as Bibliometrix, VOSviewer, CiteSpace, or similar tools. The dataset comprises the following files: Web of Science.xls: Original bibliographic records exported from the Web of Science Core Collection. Scopus.csv: Original bibliographic records exported from Scopus. The data are provided without modification to preserve the integrity of the original database exports. Researchers reusing these data should acknowledge the original data sources (Web of Science and Scopus) and cite this dataset accordingly.

Imanifard, Zahra · Penati, Francesca · Padoa, Sofia · et al.

6 files · 128 KB · xls, xlsxdeclared

This dataset contains the raw experimental data supporting the article "Moss-derived recombinant Factor H, CPV-104, effectively antagonizes alternative pathway C3/C5 convertases stabilization by NeFs from patients with primary C3 glomerulopathy", published in Frontiers in Immunology, 2026 . The dataset includes the following files: Western blot raw data (Figure 1, Supplementary Figure S1, and Supplementary Table S1). Western blot raw data (Figure 2, Supplementary Figure S2, and Supplementary Table S2). ELISA C3a raw data (Figures 3A, 4A, and 4B). ELISA C3a raw data (sCR1 experiments). ELISA Ba raw data (Figures 3B, 4C, and 4D). The files contain the original experimental data underlying the figures and supplementary material reported in the associated publication.

Vines, Jose I.

1 files · 3.0 GB · hdf5declared

Pre-computed, resolution-broadened (R=1500) stellar atmosphere spectra cache for the astroARIADNE SED fitting package. Contains 7 model grids (Phoenix v2, BT-Settl, BT-NextGen, BT-Cond, Castelli & Kurucz 2004, Kurucz 1993, Coelho 2014) resampled to a common logarithmic wavelength grid (0.125-4.629 µm). This cache eliminates the need to download the full ~770 GB model libraries for SED plotting.

Kavanagh, Jack · Anthony, Patrick

6 files · 11 MB · geojson, geopackage, shapefiledeclared

A historical map showing a segment of the boundaries of New Spain in c. 1800. This map is fully open to fellow researchers and is available in multiple open source formats (SHP, GPKG, GeoJSON).

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.

Han, Jin-fen · Wang, Xin · Yin, Bin · et al.

1 files · 63 KB · xlsdeclared

Pairwise distance (lower-left matrix) and number of nucleotide variance (upper-right matrix) of COI-5P sequence among the taxa in this study

Han, Jin-fen · Wang, Xin · Yin, Bin · et al.

1 files · 87 KB · xlsdeclared

Pairwise distance (lower-left matrix) and number of nucleotide variance (upper-right matrix) of rbcL sequence among the taxa in this study

Kavanagh, Jack · Anthony, Patrick

6 files · 9.3 MB · geojson, geopackage, shapefiledeclared

A historical map of the boundaries of Prussia in c. 1795. This map is fully open to fellow researchers and is available in multiple open source formats (SHP, GPKG, GeoJSON).

Francescone, Marco

14 files · 380 KB · shapefile, zipdeclared

This dataset contains original geomorphic mapping of surface fault traces along the Dixie Valley Fault (DVF) range front and piedmont zone, central Nevada, USA. Traces were mapped directly from a 1-m bare-earth lidar digital elevation model (DEM), using hillshade and slope-raster visualizations. This dataset accompanies the manuscript: Francescone, M., et al. (in review), LiDAR-Based Fault-Scarp Analysis and Rupture Hazard Assessment: Earthquake Scenarios of the Dixie Valley Fault System (Nevada, USA). See Section 3.1 ("Fault Trace Mapping") of the manuscript for full methodological details

BASUMATARY, BWSRANG

1 files · 18 KB · xlsdeclared

Anda dapat meminta bantuan Customer Service (CS) untuk membuka blokir melalui chat WhatsApp resmi Bank Woori Saudara di nomor +62 821-4444-012. Pastikan Anda sudah menyiapkan data diri seperti buku tabungan dan nomor rekening untuk proses verifikasi.

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.

Dey, Hemal · Shao, Wanyun

14 files · 5.5 MB · csv, jpeg, shapefiledeclared

Despite the proliferation of social vulnerability assessment methodologies, selecting the most appropriate model remains a critical challenge due to inter-model variability. To explore the inter-model variability, this study systematically investigated inter-algorithmic and inter-classification variability to assess how methodological design influences outcomes.

Cheng, Yuhan · Bai, Lubin · Zhang, Xiuyuan · et al.

15 files · 140 MB · shapefile, zipdeclared

Data used in the paper "Annotation-Efficient Building Footprint Updating via Historical Map Reuse and Iterative Instance Segmentation"

Goedkoop, Willem · Fölster, Jens · Lau, Danny Chun Pong · et al.

16 files · 145 KB · shapefiledeclared

Main scripts for assessing satellite data using rgee. The loops can run slowly, so testing may require using smaller regions.