Mendeley Data Showcase

This repository provides processed data, figure-generation scripts, frozen vector figures, representative fitted thermal-shell finite-element input decks, and documentation for a numerical study of ramp-duration-controlled symmetry-protected crossing and mode veering in quasi-static thermal buckling of a perforated variable-angle-tow shallow cylindrical shell. The package supports reproduction of the reported branch topology, thermal-prestress work decomposition, parameter-neighborhood studies, and cross-method IGA/finite-cell and fitted thermal-shell FEM comparisons. MATLAB scripts regenerate all 12 figures from the supplied processed data. Original large solver databases and commercial software executables are not redistributed; representative input decks and processed results are provided. This repository is journal-independent and can accompany the associated study through submission to different journals.

The dataset encompasses the following parameters: colonization rate, spore count, dry weight, chlorophyll *a* and *b* contents, total antioxidant capacity (T-AOC), soluble protein content, total glutathione (T-GSH) content, malondialdehyde (MDA) content, sulfhydryl (-SH) content, concentrations of cadmium (Cd) and lead (Pb) in soil, roots, and shoots, as well as pH. We hypothesized: (1) The intercropping system combined with AMF inoculation would enhance photosynthetic performance and biomass production of plants grown in Cd/Pb-contaminated soils; (2) The intercropping-AMF system would reduce heavy metal uptake and accumulation in the crop species Vicia faba while simultaneously increasing Cd absorption and accumulation in the Cd-hyperaccumulator Sonchus asper; (3) The intercropping-AMF system would improve the antioxidative capacity of plants under Cd and Pb stress. We found that the intercropping-AMF combination significantly increased dry weight by 60.2% in S. asper and 88.6% in V. faba, enhanced chlorophyll content by 22.8-56.4% and antioxidant capacity by 13.5-23.7% in V. faba, while reducing malondialdehyde by 27.9-57.9%. Additionally, it reduced root Cd concentration in V. faba by 73.3% and increased root Pb accumulation in S. asper by 191%, thereby demonstrating selective metal regulation and improved phytoremediation efficiency. Structural equation modeling further identified metal contents and antioxidant capacity as the primary determinants of plant growth, revealing that the synergistic system functions by upregulating antioxidant defenses, inhibiting metal uptake in crops, and restricting harmful metal translocation.

This dataset supports the manuscript "Beyond the tree layer: ground-dwelling ant community metrics as indicators of plantation restoration in a hot-dry valley". It contains trap-level records of ground-dwelling ant communities (1,137 records; 20 species; 2,632 individuals) and point-level near-ground microhabitat measurements (canopy closure, litter cover, herbaceous cover, litter depth; 360 records), collected from 12 plots across four habitat types (a minimally managed open shrub-grassland reference, managed and unmanaged Schleichera trijuga plantations, and an Azadirachta indica plantation) in the Yuanjiang hot-dry valley, Yunnan, Southwest China, in the dry (April 2024) and wet (October 2024) seasons. The accompanying R scripts (R 4.3.2) reproduce all statistical analyses reported in the manuscript: mixed-effects models and a negative binomial GLMM (Table 1), Kruskal-Wallis tests (Section 3.1), NMDS with envfit, PERMANOVA and betadisper (Section 3.3, Fig. 1), LCBD/SCBD partitioning (Section 3.4, Fig. 2), and IndVal.g indicator species analysis (Section 3.5, Table 2). See README.txt for variable definitions and run instructions.

Data support for "Study on reaction characteristics of co-gasification of sludge and biomass"

This is a replication kit for "Great Recession Babies: How Are Startups Shaped by Macro Conditions at Birth?" in the Journal of Financial Economics. The data and code allow users to reproduce all tables and figures. See the README for further details.

This dataset compiles carbon, mercury, and associated geochemical data from five sediment cores collected in the Northwestern Pacific Ocean, including cores P1-31, D2, E10, D5, and D7. The Excel file contains five worksheets, with each worksheet corresponding to an individual sediment core. A total of 161 depth-resolved sediment samples are included. The maximum investigated core depth is 43 cm, and most samples were collected at 1-cm depth intervals. The dataset includes total mercury concentrations (THg), total organic carbon contents (TOC), sea-surface temperature estimates (SST), stable carbon isotope compositions (δ¹³C), radiocarbon isotope compositions (Δ¹⁴C), mercury stable isotope compositions (δ²⁰²Hg, Δ¹⁹⁹Hg, Δ²⁰⁰Hg, and Δ²⁰¹Hg), elemental concentrations of Si, Al, Ca, Fe, and Mn, and NDI values. The dataset can be used to investigate the vertical distributions of carbon and mercury in Northwestern Pacific sediments, evaluate the relationship between organic carbon accumulation and mercury burial, and identify potential mercury sources and biogeochemical processes using mercury isotopes and elemental geochemical proxies. It also provides baseline data for assessing the influences of atmospheric inputs, the marine biological pump, and localized hydrothermal activity on mercury cycling and preservation in deep-sea sediments. Blank cells indicate parameters that were not measured or for which valid data were unavailable.

The diaphragm ultrasound image dataset consists of 556 M-mode diaphragm ultrasound images and 296 B-mode diaphragm ultrasound images, each of which provides a mask image that can be used for the training of the segmentation network.The dataset comes from the article "Open-access Ultrasonic Diaphragm Dataset and an Automatic Diaphragm Measurement Using Deep Learning Network".

This dataset provides a structured metadata index of Russian clinical practice guidelines, officially referred to as “clinical recommendations,” identified through the public Clinical Recommendations Rubricator of the Ministry of Health of the Russian Federation. It represents a snapshot of the source repository collected in early August 2026. The dataset contains metadata for 1,235 records, including 746 active recommendations and 489 archived versions. During data collection, full-text availability was successfully verified for 1,233 records. Two archived documents could not be retrieved because of errors on the source server. No full-text clinical recommendation documents are redistributed in this repository. The metadata were collected programmatically from publicly accessible Ministry of Health resources at https://cr.minzdrav.gov.ru/ and https://apicr.minzdrav.gov.ru/. Available variables include the guideline title, document identifier and version, publication date, active or archived status, target age group, ICD-10 codes and descriptions, responsible professional organizations, approval status, original file name, and source URL. The repository includes `_index.csv`, `_index.json`, `_failed.json`, and documentation of the collection procedure. The `code_version` field serves as the primary record identifier. Repeated or similar titles are expected because different versions and archived records may refer to the same clinical topic. Metadata availability differs between active and archived records. The source did not provide age group, ICD-10 information, developer organization, or approval status for many archived records. Empty values therefore reflect limitations of the original source rather than extraction errors. The dataset may support bibliometric analysis, evidence mapping, studies of guideline coverage and updating, medical information retrieval, natural language processing workflows, and health informatics research. Researchers may use the provided source URLs to access documents directly from the official repository, subject to applicable terms, availability, and legal requirements. This is a time-specific metadata snapshot. Clinical recommendations may subsequently be added, revised, replaced, or archived. Users requiring current clinical guidance should verify each record against the official Ministry of Health repository. The dataset contains no patient-level or personal health information.

This study asks whether structural variants (SVs) capture evolutionary and resistance signals in metastatic castration-resistant prostate cancer. We analyzed paired longitudinal tumor whole-genome sequencing (pre-BAT and on-BAT) with matched normals from COMBAT-trial subjects on bipolar androgen therapy (BAT). SVCFit estimates the structural-variant cellular fraction (SVCF) across SV classes, including on hemizygous chromosomes, clusters SVs by prevalence, and infers phylogenies and clones. Source data and workflows for "Longitudinal structural variant phylogenies define tumor evolution under therapeutic selection pressure in metastatic prostate cancer" (Liu et al., 2026). SVCFit: https://github.com/KarchinLab/SVCFit. Every figure panel and statistic (manuscript-numbered) is regenerated by a named Figure_script/ script from the cached objects here. 1. Clinical Cohort (COMBAT) -- survivor: per-subject consensus SV calls (Manta + Delly + GRIDSS via SURVIVOR) and SVCFit-annotated VCFs; annotsv: SV annotations; facet: FACETS CNV segments. -- svcfit/cluster_v3: SVCF/CCF beds, DP-GMM clusters, trees, bootstraps; per-SV beds carry phasing (no_snp) and zygosity columns. -- circos, picto_outputs (PICTograph SNV clustering), downsampling_17x (downsampled replicates + SLURM pipeline), tree_pairs_S13 (paired SV/SNV phylogenies), clinical_metadata (PSA, IHC). -- Raw sequencing and germline calls are available from the corresponding author on request; not publicly shared due to consent restrictions. 2. Autosomal Benchmark (VISOR_benchmark) — single-timepoint, 75 conditions x 30 replicates. ground_truth, input_data, replicates (rep1-30 x exp1-5), depth; output/visor_replicate_data.rds is the cached object ($all_dat, $chrx, $pooled) for the Fig 3 and Supp S3-S7/S12 scripts. 3. Hemizygous chrX Benchmark (Hemizygous_chrX_benchmark) — single-copy X with chr22 as diploid control; 45 conditions x 30 replicates. scoring_rep1-30, scoring (REP 0 + block-bootstrap summaries), truth, cn_bar10k_m, seg10k, scripts, svcfit_chrx_bundle (patch + build). 4. Longitudinal Phylogeny Benchmark (Phylogeny_benchmark) — paired-timepoint VISOR simulations evaluating truncal classification, clone frequency, and topology recovery. 5. Prostate Mixture (Prostate_mixture) — admixtures of two prostate tumors; svcfit_chrx/svcfit_chrx_all.tsv (nine 3-cluster mixtures, chrX per-SV) and svcfit_45_all.tsv (four/five-cluster, autosomal); output/prostate_replicate_data_shared_sv.rds is the cached object for Fig 3C. 6. Figure_script: R/Python scripts for every figure and statistic; run inside Figure_script/ (some source the root visor_config.R for deposit-relative paths). figures/ holds rendered panels and statistics tables (Supplementary Tables S7-S15); see figures/README.md.* Environments: reproducing figures needs only R (see README.md); upstream variant-calling pipelines use the conda environments in conda_envs/ (see ENVIRONMENTS.md).

This dataset is constructed from publicly disclosed financial, governance, patent, and regional macro-economic data of Chinese A-share listed firms over the period 2016–2024, manually collated and merged. It contains the following core variables: (1) the Green Economy Cohesion Index (GECI), a composite measure comprising three sub-layers—Green Safeguard (G), Green Infrastructure (I), and Green Efficacy (E); (2) firm-level total factor productivity (TFP) estimated via the Levinsohn–Petrin (LP) method; (3) mechanism variables: institutional transaction costs, green technology innovation patent counts, and resource allocation efficiency; and (4) firm-level control variables (e.g., size, leverage, growth, ownership) along with industry and year identifiers. The sample covers all non-financial sectors. The data are intended to replicate the empirical findings of our study and to facilitate further research on how systemic synergy within the green economy affects firm performance.