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This dataset contains the reproducibility materials supporting the manuscript “Overall rank association can mask weak upper-tail concordance between TROPOMI and official urban NO₂ networks.” Version 3 preserves the frozen provenance, observation-support gates, event definitions and primary analytical outputs deposited in the earlier repository versions, and adds a self-contained analytical extension for cross-platform upper-tail concordance between Sentinel-5P/TROPOMI observations and official surface-monitoring networks in Tokyo, Warsaw and Mexico City for 2023–2024. The scientific V2 analysis extension included in repository Version 3 contains frozen city-day and station-day inputs; code and complete outputs for distribution-wide Spearman and Kendall rank association; full 2 × 2 upper-tail contingency metrics; direction-specific concordance; TSS, ETS, CSI, F1, MCC and kappa; 20,000 month-stratified circular-shift permutations per city-year; threshold sensitivity from q = 0.80 to 0.95; lag sensitivity from −2 to +2 days; network-coherence diagnostics; 4,000 equal-size seven-station network draws; reconstruction checks; audit tables; and publication figures. The q = 0.90 reconstruction check exactly reproduces the frozen primary event classifications and counts. Neither platform is treated as ground truth. The reported quantities describe observation-conditioned concordance among TROPOMI-supported days and should not be interpreted as direct validation or failure of regulatory monitoring networks. Provider-native monitoring files and original Copernicus products are not redistributed; their provenance and access routes are documented in the archive. No confidential, personal or respondent-level data are included.

This dataset contains the raw output files, input files and structural files from ab initio molecular dynamics (AIMD) simulations described in the accompanying manuscript. The files can be used to reproduce the simulation results and analysis in this work.

This dataset contains the experimental and processed data supporting the manuscript "Circumventing the Snoek Limit Restrictions in FeSiAl Alloys for Superior L/S-band Microwave Absorption via Synergistic Microstructural Engineering" (submitted to Journal of Alloys and Compounds). Commercial spherical FeSiAl (FSA, Fe-9.6 wt% Si-5.4 wt% Al) powders were ball-milled (planetary mill QM-3SP4, zirconia balls, ball-to-powder ratio 20:1, 250 rpm, argon atmosphere) for 10, 20, 30 and 40 h. Sample naming: "AR"/"org" = as-received (0 h); 10h–40h = milled durations. For electromagnetic testing, powders were mixed with paraffin wax at 80:20 mass ratio and compacted into toroidal rings (ID 3.04 mm, OD 7.00 mm, thickness 2.00 mm); complex permittivity and permeability were measured by VNA (Agilent 5234A) over 1–18 GHz. Contents: one CSV per figure topic (Figure_2: XRD patterns; Figure_3: mu', mu'', eps', eps'' and loss tangents (underlies Fig. 3 and 4); Figure_5: impedance matching |Zin/Z0| and attenuation constant; Figure_6: reflection loss vs frequency at 2.0–3.0 mm in 0.2 mm increments for all samples, the data behind Fig. 6a–f; Figure_7: RL derivative analysis and matching-thickness comparison; Figure_8: IAE of reported absorbers, emphasizing the L/S band, digitized from the cited literature), original SEM micrographs (TIFF, JSM-6700F, Fig. 2a–e); rendered PNG figures for quick viewing; and Origin 2021 project files (.opju) for Figures 2–8 with full working sheets. A README.txt in the root folder documents instruments, sample naming and file conventions. Note: Fig. 3 shows only AR/30h/40h curves over 1–14 GHz for clarity, while the uploaded data contain the full 1–18 GHz spectra of all five samples; Fig. 4 (Cole-Cole) uses all five samples. Contact: wanghai@cnu.edu.cn

A total of 332 case histories (332 sites) of excavations in clays are collected in the EXCAV-CLAY/15/2830 database, covering 20 countries/regions worldwide, including Austria, Brazil, Canada, China, Egypt, France, Germany, Hong Kong, Indonesia, Italy, Japan, Norway, Portugal, Singapore, South Africa, Switzerland, Taiwan, Thailand, United Kingdom (UK), and United States (US) (see Table S1 in Supplementary Material). Most sites are located in Taipei, Taiwan (71% of the total sites). Each site usually consists of multiple instrumentations (inclinometer and settlement measurement) with multiple excavation stages. The database contains a total of 2830 excavation stages. The types of retaining wall system in the EXCAV-CLAY/15/2830 database consist of concrete diaphragm wall (DW), contiguous pile wall (CPW), secant pile wall (SPW), and sheet piles (SP), whereas the construction methods consist of bottom-up method (BU, temporary steel strut as lateral support) and top-down method (TD, concrete floor slab as lateral support). According to the type of movement-control measure used in each site, the sites in the database are classified into sites with ground improvement (GI sites), sites with buttress walls (BW sites), sites with cross-walls (CW sites), and sites without movement-control measures (NR sites, denoting “no reinforcement”). Some sites are hybrid, e.g., combining both BW and CW. The GI sites collected in this database are with “full improvement” that span across the excavation area, which is usually achieved by a series of overlapping improvement piles, resulting in a “continuous” base slab (e.g., jet grout slab) over a certain range of depth. The basic information for the case histories, including excavation dimensions, field measurements, soil and structural parameters, and system stiffnesses, is included in Supplementary Material (see Table S1).

Uncoupling protein 1 (UCP1) is a key mediator of adipose thermogenesis and a widely studied therapeutic target for metabolic disorders. Germline UCP1 deficiency causes marked mitochondrial remodeling in brown adipose tissue (BAT), whereas UCP1 ablation initiated in adult adipocytes does not reproduce this phenotype. Whether the mitochondrial defect established by lifelong UCP1 deficiency can be reversed by restoring UCP1 in adulthood remains unknown. Here, we addressed this question using complementary loss- and gain-of-function models. Germline UCP1-KO mice exhibited reduced mitochondrial electron transport chain (ETC) protein abundance and respiratory complex activity in BAT. In contrast, adult-onset adipocyte-specific UCP1 ablation caused severe cold intolerance without disrupting ETC function. Importantly, restoration of UCP1 in adult germline UCP1-KO mice failed to recover ETC protein abundance, respiratory complex activity, or cold tolerance. These findings indicate that the mitochondrial phenotype associated with lifelong UCP1 deficiency is not simply maintained by the ongoing absence of UCP1, but represents persistent mitochondrial remodeling that is not readily reversed by UCP1 restoration in adulthood.

The complete corpus of 81 reviewed studies, together with the per-study methodological assessment presented in Table 1

The samples cover the entire first member of the Bayingebi Formation (total thickness: 189 m). Specific grouping: 26 samples were prepared as thin sections for microscopic and scanning electron microscope (SEM) observations; 71 samples were analyzed for mineral composition using X-ray diffraction (XRD); 51 mudstone and marlstone samples were selected for determinations of total organic carbon (TOC), organic carbon isotope (δ¹³C), and nitrogen isotope (δ¹⁵N); while 20 high-organic-content mudstone samples were used for biomarker analysis via gas chromatography-mass spectrometry (GC-MS); and 369 samples were subjected to chromaticity.

This appendix contains the full study grid of the article (Appendix A: Tables A1–A10, one per technique group, with one row per grid entry (114 entries, 113 studies)) the two mechanism probes summarised in Section 7 of the article (Appendix B, Table B1), and further analyses (Appendix C): the collisions in the permission space and the corpus-size description, summarised in Sections 6.2 and 5.3 of the article, the full results of the further checks of the family holdout, summarised in Section 6.2, the patterns that distinguish the technique groups, summarised in Section 4.2, the interpretive chronology of the grid (Table C1), referred to in Section 4, and the feature families with their acquisition cost and failure modes (Table C2). The reference list is the article’s, with the same numbering.The markers and the extraction rules are defined in Section 3 of the article and repeated in the caption of Table A1.

Machine-learning detectors of Android malware are routinely compared by the accuracies their papers report, although those figures come from different corpora, labels, metrics and evaluation protocols. This survey asks what such comparisons can support. We tabulate 113 studies published 2009–2025, separate 93 core detector studies from supporting and context work, and trace every headline figure to its primary source, releasing the source records; every headline figure was confirmed. For the 58 core studies read in full we code the evaluation protocol: 37 evaluate only on partitions not stated to be ordered by time, 13 order a partition by time, one also withholds malware families, 8 state a duplicate control and 28 report a false-positive rate. The 29 confirmed single-valued accuracies cluster at a median of 98.0% (interquartile range 2.2 points), a spread smaller than the effect of protocol choice: on one real-device corpus, ordering the split by time lowers one detector’s accuracy by 4.73 points, five years of drift cut its recall at a fixed low false-positive rate by 26–38%, and withholding whole families separates four implementations by up to 51 points of recall. Reported accuracies therefore cannot rank detectors. We close with open problems and reporting recommendations.

The areas under curves TDG and IS measured for each validation parameter using both methods. For some data points, the concentration was recalculated, along with the percentage deviation from the nominal concentration. Data GC = results measured using gas chromatography–mass spectrometry Data HPLC = results measured using liquid chromatography-mass spectrometry Raw data upon request.