Xu, Tao

3 files · 100 MB · rar, xlsx

The deepmd_data dataset comprises energy data for 375,781 structures and force data for more than 45 million atoms, generated from six hierarchical active learning iterations. The init directory stores the non-periodic molecular configurations established at the initialization stage. The iter directories contain structures labeled by both AIMD and DPMD-FP methods for each iteration. Each folder is named according to the scheme of solvent molecule index followed by lithium salt designation. The finetuned_data folder contains SEI reaction simulation data used for fine-tuning the MLFFs. Comprehensive details regarding the solvent molecules are available in the solvent_with_smiles.xlsx file.

Yuezong Wang · Yu Niu · Jiqiang Chen

2 files · 100 MB · rar, zip

This dataset contains raw experimental images, video sequences of real test samples, simulated microscopic image data from the manuscript " A robust method for microscopic 3D shape restoration via shape-from-focus" , as well as focal volume datasets collected before vibration simulation, after vibration simulation, and post anti-vibration processing. All provided data enable the validation of conclusions and reproducibility of experimental results obtained via the computational pipeline proposed in this paper.

Daugavietis, Jānis

6 files · 3.3 GB · jpeg, rardeclared

Skala Bünte, Süki Vagonu Hallē [2026.07.08.] Koncerta beigu telefona foto/ video. SKALA BÜNTE X SÜKI FACE2FACE https://fb.me/e/7dycfN2gI Details Event by John Dow Vagonu Hall Public · Anyone on or off Facebook 8TH OF JULY VAGONU HALLE TWO BANDS TWO BACKLINES MOSHPIT IN THE MIDDLE ONCE IN A LIFETIME FACE2FACE MASSACRE PROVIDED BY SKALA BÜNTE & SÜKI 🔪🔪🔪 DOORS 19:00 7€

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.

Murilo Coelho · de Sousa Amâncio, Francisco Dione · Paixao, Matheus · et al.

3 files · 742 KB · rardeclared

This repository contains the replication package for the paper "More Productive, but at What Cost? Understanding How GenAI Shapes Developers' Work Across the SPACE Dimensions", accepted at the 40th Brazilian Symposium on Software Engineering (SBES 2026), São Paulo, Brazil. The package includes: (i) the complete survey instrument and sanitized participant responses; (ii) qualitative coding artifacts, including the codebook, category consolidation, and classification analysis; (iii) inter-rater reliability materials (Cohen's Kappa = 0.81); (iv) quantitative datasets and statistical analysis outputs (SPACE composite scores, Cronbach's alpha, Kruskal-Wallis, Mann-Whitney U, and Dunn's post-hoc tests); and (v) supporting literature review material. All participant data were anonymized prior to disclosure. The survey materials are in Portuguese, the language of data collection.

Abbas, Syed Hassan

1 files · 86 MB · rardeclared

Abbas H, et al. "GenixRL- " The VUS were extracted from CLinVar database (downloaded [Date: August 2025]) and scored using the GenixRL framework. This dataset provides the foundation for the VUS reclassification analysis presented in the main manuscript. The dataset is provided as a single compressed CSV file: GenixRL_VUS_Scored.csv.gz Key Coulmn Descriptions: [Variant Identifier Columns, e.g., CHROM, POS, REF, ALT]: Standard genomic coordinates for each variant. SYMBOL: The official gene symbol. GenixRL_Score: The continuous pathogenicity score generated by GenixRL, ranging from 0 (most likely benign) to 1 (most likely pathogenic). GenixRL_Classification: The tiered classification based on the manuscript's thresholds: 'Likely Benign': Score < 0.53 'Likely Pathogenic': Score >= 0.53 and < 0.709 'High-Confidence Pathogenic': Score >= 0.709 [Other relevant columns]: The file also includes intermediate scores from other predictors and allele frequencies used for validation.

Cao, Shiyuan · Li, Yaning

8 files · 18 MB · csv, rardeclared

This repository provides the supporting materials for the manuscript "A Confidence-Guided Sports Multi-Object Tracking Method via Jersey Semantic Fusion." The archived materials include evaluation summaries, final tracking outputs, environment records, dataset mapping files, protocol reproduction materials, intermediate summary files, and revision evidence used to support the reported SportsMOT validation results. The reported formal results were obtained from the real detector, real frame-level semantic feature extraction, confidence partitioning, cascaded association, and TrackEval evaluation pipeline. The original public benchmark datasets, including SportsMOT, TeamTrack, SoccerNet Tracking, MOT17, and MOT20, are not redistributed in this repository and should be obtained from their original providers.

Nie, Yong · Huang, Bo

1 files · 1.5 KB · rardeclared

BI tree

Nie, Yong · Huang, Bo

1 files · 9.1 KB · rardeclared

Alignments for phylogen

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).

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).

Rui, Jin · Cai, Chenfan

1 files · 3.7 MB · rardeclared

This dataset provides a paper-aligned 6-km grid-level perceived informality index for Southeast Asia. It is prepared as the data-release package associated with the manuscript "Unveiling the environmental drivers of urban informality in Southeast Asia through citizen science and explainable machine learning", intended for submission to npj Urban Sustainability. The release retains the ten countries used in the manuscript: Philippines, Indonesia, Vietnam, Cambodia, Myanmar, Thailand, Malaysia, Laos, Brunei and Timor-Leste. Singapore and unassigned grid cells from an earlier draft package were excluded to align the deposited data with the manuscript scope. The primary variable is informality_index, a min-max normalized 0-1 perceived informality index. Higher values indicate stronger predicted perceived urban informality. The original large-valued model output is retained as raw_informality_score for provenance, but informality_index should be used as the main manuscript-ready variable. Normalization was calculated over the retained ten-country grid cells. The package is organized into four main folders. The data/ folder contains the authoritative GeoPackage spatial layer, CSV exports, centroid-coordinate tables, administrative boundaries, country-level summary statistics and whole-dataset summary statistics. The docs/ folder contains a data dictionary, a methodology note and a processing log documenting how the release was generated. The figures/ folder contains quick-look visual summaries, including the informality-index histogram, country-level mean chart and spatial preview map. The checksums/ folder contains SHA-256 checksums for verifying file integrity. The GeoPackage file SEA_Perceived_Informality_6km_Grid.gpkg is the authoritative spatial dataset and includes grid geometries, country assignment, raw_informality_score and informality_index. The CSV files are provided for users who prefer tabular workflows or do not use GIS software. The centroid CSV includes approximate longitude and latitude for each grid cell centroid. Summary-statistics files report country-level and overall distributions of the normalized perceived informality index, with additional raw-score summaries retained for provenance. This release is intended to support reproducibility, spatial visualization and further research on perceived urban informality, environmental exposure and urban sustainability in Southeast Asia. Raw satellite imagery, Google Street View imagery and third-party geospatial layers are not redistributed in this package because they are subject to the access terms and licensing conditions of their original providers.

Haider, Haroon

1 files · 146 MB · rardeclared

This dataset provides global gridded soil nitrous oxide (N₂O) emissions for the period 1961-2019, distributed as a stack of annual NetCDF files ( N2O_soil_emissions_YYYY.nc ), one per year, giving 59 files in total. Each file resolves emissions on a regular 0.5° × 0.5° longitude-latitude mesh (720 longitude columns by 360 latitude rows) covering the full globe. Grid-cell centres are given by the lat (degrees_north) and lon (degrees_east) coordinate variables, with longitude running from -180° to +180°; the environmental-response field was rolled from its native 0-360° convention to -180-180° so that every layer shares this common grid. Ocean and other missing cells are flagged with a fill value of NaN . Within each annual file, emissions are stored as twelve monthly fields ( n2o_january through n2o_december ) together with an annual total ( n2o_annual ). The monthly fields report soil N₂O emission per grid cell in grams of N₂O-N per cell per month, and the annual field, expressed in grams of N₂O-N per cell per year, is the sum of the twelve monthly layers. Because the stored values are absolute per-cell masses rather than per-area fluxes, a regional or global total is obtained by summing cells directly and converting from grams to teragrams (dividing the summed grams by 1 × 10&sup1;²). Grid-cell emissions were computed as the product of a fertiliser-driven emission field, an environmental scaling term, and a mean precipitation modifier. Each file preserves the full provenance of this calculation through its global attributes, which record the dataset title, the reference year, the input and output units, the calculation string, the longitude-fix note, and a UTC creation timestamp, so that every layer can be traced back to its inputs and processing steps.

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

Gider, Veysel · Ekinci, Serdar · Izci, Davut · et al.

1 files · 96 KB · rardeclared

Experimental dataset (616 Marsh-funnel flow-time and 252 mini-slump measurements; 22 in-house PCE formulations × 4 fly-ash replacement levels × 7 dosages, w/cm = 0.35) and the complete deterministic Python pipeline reproducing every numerical result, table and figure of the associated paper. See README.md for the column dictionary and reproduction instructions.

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.

José Antonio, Alonso Viamonte · María Caridad, Rodríguez Pérez

1 files · 26 MB · rardeclared

Esta base de datos contempla los materiales suplementarios del artículo en evaluación en SciELO Preprints titulado: BAJO PESO AL NACER Y CRECIMIENTO FETAL EN JOVELLANOS, MATANZAS (2024-2025): AN&Aacute;LISIS EPIDEMIOL&Oacute;GICO.

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.

Anonymous

3 files · 143 KB · rar, zipdeclared

This repository contains the dataset, source code and context information used in the controlled experiment on Artificial Intelligence-assisted Root Cause Analysis (RCA). The study evaluates the capability of three Large Language Models (GPT-5.5 Instant, Claude Sonnet 4.6, and Gemini 3.5 Flash) to diagnose performance bottlenecks in a Node.js/Express API under load, utilizing a grey-box approach. The models did not have access to the source code; instead, they performed inference exclusively by cross-referencing network metrics (generated by the k6 tool) with server infrastructure telemetry (CPU and Heap Memory consumption). The scenario documented in this dataset focuses on diagnosing an asynchronous passive wait bottleneck (simulating N+1 queries / blocking I/O). Context-and-problem.zip: contains all the information given to the evaluators scripts.rar: contains all the code/scripts used in the experiment raw-answers.rar: contains all the answers given by the evaluators