Share your research data

Numerical data for: Nanoscale mechanisms of mesocrystal formation during non-classical heterogeneous growth of manganese (hydr)oxides on ferrihydrite (Final version)

Anonymous survey data (N = 404) on perceived authenticity, digital escapism, social approval seeking, need for uniqueness and destination preference, Indonesia, 2026. A codebook is included.

Research Data: Role of Binomial Chirp Order in Laser-Driven Plasma Wakefield Excitation Description This dataset contains the numerical results supporting the figures and findings reported in the manuscript entitled "Role of Binomial Chirp Order in Laser-Driven Plasma Wakefield Excitation." The results were obtained using a relativistic cold-fluid model within the quasi-static approximation. The governing equations were solved numerically using a fourth-order Runge–Kutta method implemented in Fortran. Dataset Contents • Figure 1: Longitudinal and transverse distributions of the plasma wakefield for different binomial chirp orders. • Figure 2: Radial distribution of the maximum longitudinal wakefield for different chirp orders. • Figure 3: Spatial distributions of the normalized radial force. • Figure 4: Maximum normalized longitudinal wakefield as a function of the chirp parameter. • Figure 5: Two-dimensional distributions of the maximum wakefield as functions of the chirp parameter and radial position. • Figure 6: Normalized transverse momentum of plasma electrons as a function of the co-moving coordinate. Physical and Numerical Parameters The laser and plasma parameters are specified in the corresponding data files and source codes. The dataset includes the numerical results obtained for the chirp orders and chirp-parameter ranges considered in the manuscript. Data Format Numerical data are provided in plain-text DAT format. The first line of each file specifies the column names. Spatial coordinates, field quantities, and momentum values follow the normalization conventions defined in the manuscript. Correspondence For further information about the dataset, please contact the corresponding author.

Data and code to replicate results for the manuscript titled "Non-Linearities in the Response of Monetary Policy to Oil Supply News Shocks".

Supplementary data for the JAAD article "Reflectance Confocal Microscopy Improves Clinicopathologic Correlation in Facial Lentigo Maligna: A Prospective Real-Life Study"

Replication materials for "Analyst Individualism and the Readability of Investment Research: Evidence from China". The public archive contains four derived analysis-ready datasets, Stata estimation code, variable dictionaries, table-to-data mappings and reference results. Analyst names, report titles and bodies, emails and URLs are excluded. Analyst and source row/event identifiers are replaced with package-local labels; no identity crosswalk is distributed. Original named research inputs are retained separately by the authors and are not part of this public archive. The main full-model readability sample contains 60,326 observations from 2007–2022. Text and market analyses use their documented subsamples. The later market design contains 5,120 events, including 612 isolated events, from 2009–2022. Table 11 uses an earlier event design; Tables 12–13 use the later two-component readability design. See the README and table mapping for these distinctions. A Stata rerun of 44 models matched 679 available reference coefficient rows, standard errors and p values within 0.000002. The package also documents the check following identifier replacement. Optional selection-weighted models are supplied separately and were not part of the 44-model rerun. Construction scripts are provided as references and require upstream files and path configuration. The principal data sources are CNRDS and CSMAR; name-character frequency references are derived from ChineseNames. The depositor has confirmed permission to redistribute the research data and code.

SDS-PAGE, Western blot, MS data, cryo-EM, spectral assays, cell bioassays

Le Val-d'Oise (95) compte 85 centres de contrôle technique dans l'annuaire national de la DGCCRF, répartis dans 44 communes (extraction du 29/10/2026). L'extrait régional publié sur le portail de la région Île-de-France en compte 81 pour le département. Les deux chiffres sont donnés tels quels, sans correction. Fichiers : - centres_controle_technique_95_2026-10-29.csv : 85 centres du département dans l'annuaire national (code postal, commune, catégories de véhicules, énergies). Les noms, adresses et SIRET restent dans la source. - communes_95_centre_le_plus_proche_2026-10-29.csv : 48 communes du Val-d'Oise (code INSEE, nombre de centres dans la commune, commune du centre le plus proche, distance à vol d'oiseau en km). 35 de ces communes ont au moins un centre sur leur territoire. Séparateur ";", encodage UTF-8. Sources : DGCCRF, Annuaire des centres de contrôle technique (data.economie.gouv.fr), version du 29/10/2026 ; DGCCRF, Annuaire des centres de contrôle technique franciliens (data.iledefrance.fr), version du 28/10/2026. Licence des sources : Licence Ouverte v2.0 (Etalab), compatible avec CC BY 4.0. Jeu préparé par O'PAREBRISE 95 (IMK AUTOS SAS, Franconville), garage de vitrage automobile. English summary: number of vehicle inspection centres (contrôle technique) per municipality in the Val-d'Oise department (France), derived from the official DGCCRF directory, with the nearest centre and straight-line distance for 48 municipalities.

This dataset contains information on the attendance of municipal health managers at meetings of the Regional Intermanagerial Commissions (Comissões Intergestores Regionais – CIR) in the Metropolitana I and Médio Paraíba health regions of Rio de Janeiro, Brazil, between 2012 and 2023. The data were compiled through documentary analysis of CIR meeting minutes, which record the participation of municipal health managers in regional governance meetings.

This replication package accompanies “Investor Horizons and the Timing of Leverage Adjustment” (Economic Modelling, manuscript ECMODE-D-26-00470R1). The study examines whether the composition of long-horizon mutual-fund holdings is associated with the timing of firms’ leverage adjustment. Using Chinese A-share firms observed from 2015 to 2023, the analysis combines firm financial and market data, institutional shareholding disclosures, fund portfolio reports, and reported fund purchases and sales. The paper measures long-horizon fund ownership from disclosed fund positions and four preceding half-years of portfolio turnover. It studies both the annual response of firm leverage to a pre-existing leverage gap and the timing of fund position changes within the year. The preferred firm-level sample contains 15,908 firm-year observations for 4,183 firms. The archive contains the complete Python and Stata analysis code, LaTeX source files, figures, tables, aggregate results, audit files, variable documentation, software requirements, and a consolidated README. It also contains synthetic replacement files for the restricted input data. These files preserve the documented field structures, English variable labels, identifier formats, relational roles, missing-value conventions, and approximate source moments. They are synthetic observations and were not used to produce the published estimates. The firm-account, market, institutional-holding, and fund-report inputs are Guotai An China Stock Market & Accounting Research (CSMAR) data. The licensed raw files, fund-stock position records, and row-level analysis panels are not redistributed because they are subject to the provider’s data-use terms. Users with authorised access to the relevant CSMAR modules can reconstruct the published estimates by following the source map and processing sequence in README.md. Users without licensed access can validate the public data schemas, inspect the documented construction, run the verification scripts, and compile the manuscript and Online Appendix.