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All required data and files to build and operate EIT system based on STM32 Python (version 3.12.0) pyEIT framework (version 1.2.4) STM32CubeIDE version 1.18.0 Operational details are included in the paper.

LIMAN-C is a current-only experimental dataset for condition monitoring of three-phase induction motors under multiple source-defined motor states and nominal load settings. It contains 480 complete three-phase parent recordings (1,440 phase-specific CSV files): 128 from one healthy motor group, 136 from one motor group with a rotor-bar defect, 139 from one motor group with a bearing defect, and 77 from one motor group with inter-turn short circuits. Measurements were collected on 3 October 2024 in one campaign. The healthy, rotor-bar-defect, and bearing-defect groups cover nominal load settings 0, 20, 40, 60, 80, and 100; the inter-turn-short-circuit group covers 60, 80, and 100. Load was varied through generator parameter adjustments while motor speed was kept approximately constant. Each parent recording comprises three phase channels. Each phase file contains 16,384 samples over approximately 4 s at an effective sampling rate of approximately 4,096 Hz, as derived from the recorded time coordinate. Raw CSV bytes are unchanged; rare empty current-value cells are fully inventoried, and the frozen mapping and gap-repair policy used in the associated analysis is documented. The release provides the measurements, parent-level metadata, a data dictionary, channel and phase-convention documentation, file checksums, and the exact analysis roster used in the associated study. The four condition groups come from four source motor groups, with one declared state per group. Consequently, the dataset supports reference-versus-nonreference, source-motor-group out-of-distribution evaluation, benchmarking of condition-aware anomaly detection, motor-current signal processing, and studies of load-dependent spectral variation. It must not be interpreted as a same-motor before-and-after intervention, as causal evidence that a fault alone produced every between-group difference, or as an estimate of population-level generalization across motors. LIMAN LLC provided the experimental measurements and authorized their public release. The release was curated and documented by Aleksandr Khizhik, Saraa Ali, Artem Ryzhikov, and Denis Derkach at HSE University. The release is licensed under CC BY 4.0.

Andaman and Nicobar is group of islands that present along the Bay of Bengal on the western side and the Andaman Sea on the eastern side. This is the location of one of the major modern carbonate systems in India. Here fringing coral reefs surround the islands. In this study, we analyzed unconsolidated sediments collected from the southern Andaman and Swaraj Dweep shallow margins (Upto 15 m), which are part of the Andaman and Nicobar Islands. The collected grab samples were wet-sieved and classified into different size fractions. The sediment sizes were categorized into different fractions: gravel (> 2 mm), coarse sand (0.5–2 mm), medium sand (0.25–0.50 mm), fine sand (0.125–0.25 mm), very fine sand (0.063–0.125 mm), and mud (< 0.063 mm). The sand in these areas is primarily composed of biogenic carbonate grains, primarily from coral, coralline algae, mollusks, and foraminifera. Two specific fractions (0.25–0.5 mm and 0.125–0.25 mm) were selected for component analysis. The predominant sediment type falls within the grainstone facies based on the mud percentage. The data are uploaded here as Excel files 1) Grain size data south Andaman 2) Grain size data Swaraj Dweep 3) sediment component from south Andaman (0.25-0.5 mm) 4) sediment component from south Andaman (0.125-0.25 mm) 5) sediment component from Swaraj Dweep (0.25-0.5 mm) 6)sediment component from Swaraj Dweep (0.125-0.25 mm) 7) Facies from south Andaman 8) Facies from Swaraj Dweep.

Every system in this architecture answers the same question from a different direction, and the coherence of the whole rests on recognizing that it is one question rather than a dozen. The question is why civilization has never been able to move off the surface of its home planet at a cost ordinary people can pay, and the answer, in every instance, is that the mobile element has been required to carry the machinery of its own movement, its own shelter, its own energy, and its own material supply. A rocket carries its engines and its propellant. A habitat carries its shielding mass up from Earth. An excavator carries the entire weight of a mission in one expensive and irreplaceable body. A construction project carries finished structural components through the gravity well before it can assemble them. In every case the carried burden compounds against itself, because mass demands energy and energy demands mass, and the exponential character of the rocket equation charges compound interest on the arrangement until the economics close off entirely. The unifying move across all constituent systems is a single inversion. Fixed infrastructure absorbs the energetic and mechanical burden, is amortized across thousands or millions of uses, and permits the mobile element to specialize in what only it can do. This is not novel in transportation history and its ordinariness on Earth is precisely the argument. Railways separated the track from the train and the station from both, and the resulting network moved goods at a fraction of the cost of self-contained road haulage. Ports concentrated cranes, dredged channels, and rail connections on the shoreline so that ships could carry cargo rather than cargo-handling machinery. Aircraft carriers place the catapult on the deck rather than inside the airframe, so a fighter spends its mass budget on fuel and weapons instead of on a mechanism used once per sortie. Electrified rail lines put the power plant in the countryside and deliver current to a locomotive carrying no fuel at all. Spaceflight is the last major transportation domain that has not made this transition, and the reason is straightforward rather than mysterious. There has been nowhere to build the infrastructure and nothing to build it from. The three environments addressed here remove both obstacles in sequence. Earth's surface offers ground, sun, and industrial capacity sufficient to build a stepped structure reaching the edge of the atmosphere using no material that does not already exist at industrial scale. The Moon offers vacuum, one sixth gravity, terrain flat and stable enough over hundreds of kilometres to carry precision guideways, and regolith that runs roughly forty to forty five percent oxygen by mass, which makes it simultaneously .....

The dataset contains the data files used to simulate the spatiotemporal distribution of soil salinity in western Jilin Province, China, including the locations of the data points, soil salinity (EC), remote sensing and all the environmental variables for models. It also provides the code files for the ML methods, SHAP analysis, causal inference, and salinity-risk mapping implemented in this study.

The IP-MS folder contains mass spectrometry data generated following immunoprecipitation of samples from 3-month-old C57 mice using an anti-gamma-CaMKII antibody or an IgG control. The miRNA Affinity Capture Assay and Mass Spectrometry folder contains mass spectrometry data generated from miR-10a-5p affinity-capture assays performed using mouse hippocampal samples.

FRic functional richness FEve functional evenness FDiv functional divergence FDis functional dispersion RaoQ quadratic entropy K functional diversity CWMLA community - weighted mean leaf area CWMLDMC community - weighted mean leaf dry matter content CWMSLA community - weighted mean specific leaf area CWMLC community - weighted mean organic carbon content in leaves CWMLN community - weighted mean nitrogen content in leaves CWMLP community - weighted mean phosphorus content in leaves AGB aboveground biomass BGB belowground biomass CWMSOC Community‑weighted mean soil organic carbon content CWMTN Community‑weighted mean total nitrogen content CWMTP Community‑weighted mean total phosphorus content SR SpeciesRichness H ShannonIndex D SimpsonIndex J PielouIndex NRI net relatedness index NTI nearest taxon index EMF ecosystem multifunctionality

This replication package accompanies the study “Bayesian-Bootstrap Sensitivity Analysis for Partially Identified Treatment Effects: Computation and Experimental Benchmarking.” The study develops a computational Bayesian procedure for evaluating treatment-effect uncertainty when conditional exchangeability may fail. The method combines cross-fitted propensity-score estimation, Bayesian-bootstrap posterior simulation, a normalized odds-weight sensitivity model, and an exact threshold algorithm for calculating the endpoints of partially identified treatment-effect intervals. The empirical application evaluates the effect of participation in the National Supported Work Demonstration on real earnings in 1978. The analysis combines treated NSW participants with nonexperimental comparison observations from the Current Population Survey and Panel Study of Income Dynamics. The randomized NSW comparison group provides an external experimental benchmark. The package reproduces the experimental benchmark, descriptive statistics, overlap and covariate-balance diagnostics, effective sample sizes, Bayesian posterior sensitivity intervals, robustness comparisons, Monte Carlo simulations, tables, and figure reported in the manuscript. The original NSW, CPS, and PSID data are publicly distributed through the National Bureau of Economic Research data page associated with Dehejia and Wahba’s studies. Because the source page specifies attributable non-commercial use, the raw data are not redistributed in this repository. The README provides the source link, required citations, variable definitions, and instructions for obtaining and preparing the original files.

This reproducibility package accompanies Exploring older adults’ affective and interactional experiences of haptic feedback in a simulated social VR scenario. It includes R scripts for the reported questionnaire, sensitivity, temporal behavioural, figure, expert-descriptive, and inter-coder reliability analyses; public thematic and behavioural codebooks with aggregate coding frequencies; haptic implementation materials including the reference controller, feedback parameters, actuator index map, interaction-trigger mapping, and software–hardware configuration; questionnaire, demographic-variable, and de-identified allocation dictionaries; and aggregate source data supporting the manuscript’s tables, figures, descriptive expert findings, temporal analysis, recorded interaction observations, and sensitivity analyses. Participant-level questionnaire and demographic data, recordings, transcripts, coded meaning units, direct quotations, and participant identifiers are not included because they are ethically restricted.

Research hypothesis. The prevailing view is that monetary policy is largely ineffective in Pakistan, since interest rate changes appear not to move inflation and the economy. We hypothesise this reflects a measurement problem: central banks raise rates when they expect inflation to rise, so observed rate changes are contaminated by the forecasts that prompted them. Once purged of this systematic component, the remaining surprise should show that policy transmits normally. What the data contains. The core dataset is a meeting level record of all 50 SBP policy rate decisions from 2008 to 2019, with the SBP's own inflation projections for each meeting, drawn from Monetary Policy Statements and MPC minutes. The inflation projections are proprietary and have to be requested directly from SBP. However, we share estimated narrative shocks, quarterly macro-financial panel (industrial production, CPI, exchange rate, term spread, and private, public and total credit), a US policy surprise series, and global controls (oil and food prices, the VIX). Construction. Each decision is regressed on the rate carried into the meeting and the SBP's inflation projections. The residual is the narrative shock (see files), the part of the decision not explained by what the committee expected. Shocks are summed within each quarter; quarters with no meeting take a shock of zero, since no meeting means no unexplained change in intentions. This gives a quarterly shock series, 2008Q3 to 2019Q4. Findings. A one percentage point contractionary shock lowers industrial production by about 1.8 percent within two quarters, with no return to baseline over three years. Y/y inflation falls by 0.62 points on impact and by a further 0.91 points after two years, following an intervening rebound. The policy rate, term spread and credit responses carry the expected signs, though the latter two are estimated less precisely. Spillovers from US monetary policy are small and imprecisely estimated at the quarterly frequency. Interpretation. These results overturn the "idle policy" reading: transmission is present and economically large once decisions are cleansed of their forecast driven component. The inflation result is a rate effect, not a price level effect, since the cumulative price level response is insignificant. The credit results are directionally consistent nominal stocks, not a precisely estimated real credit channel. Use. The quarterly shock series can be used as an instrument or right hand side variable in Pakistani monetary transmission studies, in place of the raw policy rate change, which is not exogenous to the economy. SBP inflation projections are not fully recoverable for every meeting; missing values are interpolated, and results are robust to excluding the affected meetings. The package is organised in two folders: one with the meeting level code for constructing the narrative shock, and one with the quarterly panel and code estimating the local projections.