Share your research data

Using mutant mice with laminin-γ1 deficiency in PDGFRβ+ cells, we investigated the functions of PDGFRβ+ cell-derived laminin-γ1 in blood-brain barrier integrity maintenance, pericyte number, basal lamina thickness, brain stiffness, CSF influx/brain clearance, synaptic loss, and cognitive function in an age-dependent manner. The raw data and unprocessed Western Blot images are provided here.

All of the data that has been acquired so far in our project investigating the role of blood-borne macrophages in neurologic repair after delayed recanaliton in a rodent permanent MCAO stroke model. We hypothesize that blood-borne monocytes/macrophages which populate the infarction core and penumbra after delayed recanalization adopt an efferocytic and anti-inflammatory phenotype, driven by IL-13/4, aiding in repair and recovery after pMCAO in rats. Preliminary data supports that hypothesis with animals undergoing delayed recanalization (rMCAO) having decreased infarction volume and slightly increased neurological functioning. Immunofluorescence also shows colocalization of CD163 with CD44 in rMCAO indicating blood borne macrophages are adopting an anti-inflammatory phenotype after delayed recanaluization while there is more colocalization of CD86 with CD44 in permanently occluded animals (pMCAO) indicating blood borne macrophages adopting a pro-inflammatory phenotype when animals do not receive restored blood flow.

This dataset contains antimicrobial susceptibility results for beta-hemolytic streptococci (BHS) isolates collected at a tertiary care hospital serving a mixed urban–rural population in Quebec, Canada, between December 30, 2024, and January 30, 2025. The primary hypothesis underlying this study was that contemporary BHS isolates in our region remain susceptible to trimethoprim–sulfamethoxazole (TMP-SMX), despite historical reports of variable resistance. Secondary objectives included describing susceptibility patterns to tetracycline, levofloxacin, erythromycin, and clindamycin. Clinical BHS isolates were obtained from routine diagnostic specimens submitted to the hospital microbiology laboratory. Species identification was performed using standard laboratory methods. Antimicrobial susceptibility testing was conducted by disk diffusion following Clinical and Laboratory Standards Institute (CLSI 2026) guidelines for tetracycline, levofloxacin, erythromycin, and clindamycin, including testing for inducible clindamycin resistance (D-test). TMP-SMX susceptibility was assessed according to European Committee on Antimicrobial Susceptibility Testing (EUCAST 2026) criteria. The dataset includes isolate identifiers, specimen source, testing dates, zone diameters, and categorical interpretations (susceptible, intermediate, resistant) according to applicable standards. All patient identifiers were removed prior to analysis, and only anonymized laboratory data are included. Analysis of the dataset showed that 99% of isolates were susceptible to TMP-SMX in vitro. High susceptibility was also observed for levofloxacin, while lower susceptibility rates were found for tetracycline and clindamycin. These findings suggest that TMP-SMX remains highly active against BHS in this regional setting and may represent a potential therapeutic option for skin and soft tissue infections, pending further clinical evaluation. The dataset can be used to examine regional antimicrobial resistance patterns, compare susceptibility trends across geographic areas or time periods, and support antimicrobial stewardship initiatives. Researchers may also use these data to validate surveillance studies, inform clinical guidelines, or conduct meta-analyses on BHS susceptibility to TMP-SMX and other agents. Interpretation of the data should consider that results reflect in vitro susceptibility from a single center over a defined time period and may not be generalizable to other settings or patient populations.

This replication package contains the files required for replicating the results presented in the paper “Using global and local measures to decompose the Malmquist productivity index assuming a variable returns-to-scale technology” co-authored by Juan Aparicio and Daniel Santín and published in Economic Modelling 2026. This paper proposes a novel five-way decomposition of the MPI assuming a VRS technology based on the Lebesgue measure and on the use of artificial units randomly generated within the normalized input–output space of a unit hypercube, ensuring robust calculations while avoiding infeasible solutions. The five compenents are: pure efficiency change (PEC), pure global technical change (PGTC), global scale efficiency change (GSEC), pure local technical change (PLTC) and local scale efficiency change (LSEC). The package contains: - The well-known database of 42 Swedish pharmacies producing four outputs from four inputs between 1980 and 1989 in Sweden previously analyzed in the seminal paper of Färe et al. (1992). The excel file is composed by ten sheets one for each year. - R code for reproducing results in Section 3.3. This includes Table 1, Table 2 and Fig. 1. "Annex A example biennial". - R code for obtaining results in Section 4. This includes Tables 3, 4 and 5. "Annex B MPI VRS Lebesgue" References Färe, R., Grosskopf, S., Lindgren, B., & Roos, P. (1992). Productivity changes in Swedish pharmacies 1980-1989: A non-parametric Malmquist approach. Journal of Productivity Analysis, 3(1), 85-101.

Original western blot images

This dataset contains daily origin–destination (OD) mobility data for municipalities in the province of Valencia (Spain) covering the years 2022, 2023, and 2024. The data were obtained from the Spanish Ministry of Transport, Mobility and Urban Agenda (MITMA) and processed to ensure temporal comparability across years. • Baseline datasets were constructed from complete Saturday–Friday weeks without holidays: • datos_2022: 22–28 October 2022 • datos_2023: 14–20 October 2023 • datos_2024: 26 October – 1 November 2024 (week of the DANA extreme weather event) • Extended datasets were created to support ARIMA forecasting and recovery analysis: • od_2022_completo: 1 October – 5 November 2022 • od_2023_completo: 1 – 25 October 2023 (incomplete due to MITMA availability) • od_2024_completo: 1 October – 1 November 2024 • distance_30_5: 1 – 5 November 2024 (post-DANA extension) • od_2024_union: merged dataset combining od_2024_completo and distance_30_5 All files are provided in .rds format to ensure compatibility with R-based analysis. A separate README file details the structure of each dataset, including variables, units of measurement, and temporal coverage. This dataset was prepared in the context of a study on mobility disruptions and economic recovery after the 2024 DANA flooding event in Valencia, and it can be used for predictive modelling, economic impact assessments, and comparative analyses of mobility resilience.

Supplementary material for the original research article

This is the replication data and code for "Agricultural Imports, Labor Mobility and Welfare" (Guanzu Ding, Haichao Fan, Rui Li, Xican Xi, Huanhuan Wang), Journal of International Economics

Precision agriculture relies on Site-Specific Weed Management (SSWM) to replace traditional, uniform spraying with data-driven herbicide application and mechanical weeding. As weeds compete with crops for space and nutrients, they remain a primary threat to harvest quality. As a first step, the implementation of SSWM requires high precision in automated detection and classification of weed species. Therefore we publish a manually annotated and expert curated drone image dataset for weed segmentation (crop vs weed) in sorghum and maize fields with different crop growth stages and weather conditions.

Biometric data of cattle metapodials, first and second phalanges, recorded from 22 British sites.