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Supplemental material associated with a small real-world case series evaluating remibrutinib in patients with inadequately controlled cholinergic urticaria.

Western blot

This dataset contains the source data underlying the main and supplemental figures in the article “PHYHD1-mediated translational control regulates renal cell carcinoma progression.” Ribo-seq and RNA-seq data have been deposited in GEO under accession number GSE282151 and are publicly available as of the date of publication. The code and scripts used to reproduce the analyses are available at https://github.com/FakeEnd/pan_cancer_alpha_KG_dependent_analysis.

Osteoarthritis (OA) is a degenerative joint disease in which early mitochondrial dysfunction and cuproptosis blunt endogenous repair. Because these two processes demand intervention at different times, we asked whether a “microenvironment preconditioning” strategy could meet both, and built a double-barrier hydrogel (CFG@M/E) that releases OLA1 early and Cytl1 late. OLA1, a protein we identified by proteomic profiling of synovial fibroblast-derived exosomes, is delivered rapidly under ROS-enriched conditions to suppress cuproptosis, whereas Cytl1, identified by single-cell RNA sequencing, is released slowly and in a pH-dependent manner to drive matrix synthesis. In vitro, early OLA1 suppressed Elesclomol-induced cuproptosis, restored mitochondrial membrane potential, and lowered ROS, and the subsequent Cytl1 exposure then promoted anabolism (COL2A1/SOX9 up, MMP13 down). In a DMM mouse model, intra-articular CFG@M/E reduced OARSI scores, preserved cartilage, and restored locomotion without systemic toxicity. The double-barrier design thus matches the bioavailability of OLA1 and Cytl1 to the distinct pathological windows of OA—a more rational approach than co-delivering two drugs at once.

This dataset studies whether gum arabic (GA), a low-cost and sustainable biopolymer, can improve the wear resistance of epoxy coatings on steel. The main idea is that adding GA to epoxy may change the wear behavior and surface damage during reciprocating sliding compared with pure epoxy. The dataset contains 273 high-resolution optical microscopy images (.tif) of wear scars formed on EN8 steel substrates coated with epoxy (Araldite LY556), with and without GA. Two Taguchi L16 tests were used. The EP group (pure epoxy) contains 135 images and was tested by changing the normal load (5–20 N), sliding frequency (1–2.5 Hz), and temperature (40–70 °C). The EPGA group (epoxy with GA) contains 138 images and was tested using the same three parameters along with different GA contents (0.25–3 wt.%). A total of 32 test conditions were studied, and each condition was tested three times using a reciprocating ball-on-flat tribometer against an EN31 steel counter-ball. The wear scars were taken at up to three locations (center, edge, and overview) using 50× magnification. The images are arranged by coating group, test condition, and replicate number. They are listed in the accompanying Metadata_Manifest.csv file. The file contains the test conditions, image information, and the observed wear mechanisms. The wear mechanisms include micro-cracking, ploughing, adhesive pitting, plastic deformation, transfer-film formation, and Schallamach-like waves. Some conditions have fewer images than expected because of actual test results and not because of missing data. In EP conditions C2, C8, and C12, coating peeling occurred in one replicate. In EPGA condition G3, no visible wear scar was produced. These results are included because they provide useful information about the coating behavior under those test conditions. The images can be used to study changes in wear-scar shape and surface damage between pure epoxy and GA-reinforced epoxy. The average coefficient of friction and specific wear rate from the related publication are also provided in the metadata for reference. The images and their wear-mechanism labels are the main data in this dataset. This dataset can be used for studying wear mechanisms, comparing bio-based gum arabic reinforced epoxy and pure epoxy coatings, image analysis, and developing machine-learning methods for wear classification. The condition numbers C1–C16 and G1–G16 follow the Taguchi test order used in the related study.

This dataset contains raw soil physical, chemical, and biological collected across three contrasting landscapes in the Central Highlands of Madagascar. The dataset includes the geographic location of sampling sites, topographic position, geological type, local site (fokontany), landscape type, land cover, soil depth, and replicates. Soil properties include bulk density, soil moisture, pH, total nitrogen, soil organic carbon, Olsen phosphorus, microbial phosphorus, resin phosphorus, and soil texture (clay, silt, and sand). Macrofauna variables include total density, total biomass, taxonomic richness, and Shannon diversity index. Soil samples were collected at three depths (0–10, 10–20, and 20–30 cm), with up to four replicates per sampling site. The dataset is provided as raw observations and includes the original measurements used for the analyses presented in the associated study. All soil samples were collected in the Itasy Region in may/june 2023, in the central highlands of Madagascar. The study area is located approximately between 46°10′– 47°00′ E and 19°25′–19°39′ S. The precise geographic coordinates of individual sampling plots are not provided in the publicly available dataset.

This dataset contains the source data underlying the figures in the manuscript entitled “A Bacteroides ovatus-lysophosphatidylcholine axis supports neural repair after spinal cord injury.” The Excel workbook is organized by figure and panel and contains the individual values used for quantitative analyses and graph generation. Experimental procedures and statistical analyses are described in the accompanying manuscript.

The analysis code to produce all main results and figures can be accessed

The processed dataset for "Decarbonization shifts carbon bottlenecks across China’s major grain supply chains".

This dataset contains raw multi-sensor recordings from a brushed PM DC servo motor (3PI12.12) operated under multiple conditions and speed setpoints (percentages of rated speed; the motor runs unloaded, with no external mechanical load). It includes four sensor modalities: - armature current waveforms (BIN) - vibrometer waveform audio (WAV) - smartphone audio (M4A) - vibrometer spot measurements (XLS) The dataset is organized into four main condition families: normal operation, loose foundation, suboptimal speed-regulator tuning, and suboptimal speed-regulator tuning with RT (current-regulator) coefficient variation. Each family is provided in two variants: without reversal (constant rotation direction) and with reversal (rotation direction reversed every 4 seconds). The files are organized by condition and sensor, with metadata in metadata.csv, and are intended for condition monitoring research such as fault classification, speed estimation, and phone-vs-instrument benchmarking.