Multi-year dataset of Eurasian lynx distribution in part of the Carpathian metapopulation (2022–2023) based on SCALP+

The Status and Conservation of the Alpine Lynx Population (SCALP) was created in the early 1990s to survey the status of the lynx in the Alps, carry out monitoring activities in coordination between Alpine countries and close research gaps in the region. The project brings together a team of experts focused on compiling available data on lynx and standardising their interpretation. SCALP has not only been compiling data required for the description of the conservation status of the lynx population in the Alps, but has also been advancing the conceptual and methodological approach of transboundary monitoring with the SCALP criteria. The SCALP criteria classify species occurrence data according to their verifiability (i.e. C1 = hard fact data, C2 = verified records, C3 = unverified records or records which by their nature cannot be verified) and are now commonly used in several species. Thanks to the standardised data interpretation, direct comparison of lynx distribution between countrie..., , # Multi-year dataset of Eurasian lynx distribution in part of the Carpathian metapopulation (2022–2023) based on SCALP+ Dataset DOI: [10.5061/dryad.wstqjq30d](https://doi.org/10.5061/dryad.wstqjq30d) ## Description of the data and file structure We share annual lynx distribution data collected in eleven European countries as Shapefiles. Lynx presence was mapped at a 10 x 10 km (ETRS89-LAEA Europe) grid scale. ### **Dataset Versioning and Scope** This dataset was originally published with data from 2022.\ The current version expands the dataset to include data from 2023 while retaining the original 2022 data. The dataset should therefore be considered a continuous, cumulative dataset, not a replacement of previous versions. ### Files and variables #### File: SCALPplus2022.zip #### File: SCALPplus2023.zip **Description:** Shape files: Distribution of the lynx in eleven European countries in 2022 and 2023. We additionally include the annual monitoring reports as a pdf, where w..., , , **Changes after Oct 24, 2025:** This update expands the dataset by adding data collected during 2023 while retaining the previously published 2022 dataset. The dataset is therefore cumulative and now represents a two-year time series (2022 and 2023). The purpose of this update is to: * Extend temporal coverage with newly collected data (2023) * Provide a consistent, longitudinal dataset for comparative and time-series analyses