21a38203-9fcd-4759-8b9b-ee9d1e6170d9 Sample csv file https://github.com/QCDIS/Biodiversity_time_series_analyses_from_European_marine_ecosystems/blob/main/data/fish_final__final_results_all.csv data preprocessing CSV Marco-Bolo richness diversity abundance None Senckenberg Society For Nature Research Andrés Peredo Arce Postdoctoral researcher andres.peredo@senckenberg.de https://orcid.org/0000-0002-6353-9121 LifeWatch ERIC Lucia Vaira Service Centre ICT Coordinator lucia.vaira@lifewatch.eu https://orcid.org/0000-0002-5935-6074 2025-11-05 en This is an example of the output file of the <a href="https://metadatacatalogue.lifewatch.eu/srv/eng/catalog.search#/metadata/84ce3a66-3826-488d-9dc2-eeeac0a2cb7b" target="_blank">Species occurrence trend analyzer</a> in the <a href="https://metadatacatalogue.lifewatch.eu/srv/eng/catalog.search#/metadata/52472525-ddf7-4521-abc9-f4b8a98b82ae" target="_blank">Biodiversity Time Series Analyses from European Marine Ecosystems workflow</a>. It summarizes the changes in richness, diversity and abundance of the provided samples. MIT License Senckenberg Society For Nature Research Andrés Peredo Arce Postdoctoral researcher andres.peredo@senckenberg.de https://orcid.org/0000-0002-6353-9121 MARCO-BOLO (MBO) aims to structure and strengthen European coastal and marine biodiversity observation capabilities, linking them to global efforts to understand and restore ocean health, hence ensuring that outputs respond to explicit stakeholder needs from policy, planning and industry. To this end MBO will establish and engage with a Community of Practice (CoP) to determine end-user needs with the aim of optimising marine data flows, knowledge uptake, and improving governance based on biodiversity observations. By exploiting synergies with concurrent projects MBO will develop and demonstrate new autonomous technology for biodiversity mapping and monitoring, and data streams from remote sensing, eDNA, robotics, optical and acoustic observations. Protocols for eDNA-based biodiversity observations are established and validated across applications, taxa and ecosystems. The sequence of the analytical and technical processes for the different use cases will be incorporated into operational Essential Ocean Variables (EOVs) and Essential Biodiversity Variables (EBVs) and included into online reusable workflows, contributing to the free and open access of EU and global biodiversity information facilities, and to support major EU biodiversity directives and global initiatives. The project partnership will leverage its international activities (MBON, GOOS, OBIS) and participation in UN Ocean Decade Programmes (Marine Life 2030, OBON, ODIS, Ocean Practices for the Decade) to align the MBO work programme to global CoP, ensuring European participation and leadership in global biodiversity monitoring and global science. MBO results will be designed to build upon existing capability and infrastructures, and to be relevant to existing frameworks so that outputs can be easily integrated into national, regional (EU and adjacent sea basins), and global observation systems, with no delay ensuring the reusability of the investments Europe is already making in data generation. ish_final__final_results_all csv siteid Site identifier The site-specific (e.g. alpha-numeric) identifier for each sampling location. X.1 Row number in the metadata after filtering The row number in the filtered metadata set where the metadata originates from. X Row number in the metadata before filtering The row number in the pre-filtered metadata set where the metadata originates from. taxagroup Taxonomic information The taxonimc classification using nine categories: Bacterioplankton, Phytoplankton, Macroalgae, Macrophytes, Zooplankton, Invertebrates, Fish, Birds and Mammals. sitename Site name The name of the sampling site. country Site country The country in which the data was collected (ISO 3166-1 alpha-2 codes). seaname Site sea name The name of the Sea/Ocean name (EEA https://www.eea.europa.eu/data-and-maps/figures/regional-ses-surrounding-europe-1). decimallatitude Site location latitude The decimal latitude (World Geodetic System 84 - WGS84 format). decimallongitude Site location longitude The decimal longitude (World Geodetic System 84 - WGS84 format). coordinateuncertaintyinmeters Coordinate uncertainty in meters The horizontal distance (in meters) from the given decimal latitude and longitude describing the smallest circle containing the whole location. startyearcollected Start year The first sampling year. endyearcollected End year The last sampling year. samplingprotocol Sampling protocol The name of the sampling method. nyear Number of years The total number of sampling years. slope_richness Generalized Least Squares slope of the species richness Generalized Least Squares slope of the species richness at the site. p_richness Generalized Least Squares p-value of species richness change over time The p-value that the species richness changed over time. se_richness Generalized Least Squares standard error of species richness Generalized Least Squares standard error of species richness. trend_richness Significance indication for species richness "Positive" if the slope is positive and significant, "negative" if the slope is negative and significant, otherwise "no change". slope_diversity Generalized Least Squares slope of the species diversity KGeneralized Least Squares slope of the species diversity at the site. p_diversity Generalized Least Squares p-value of the Shannon diversity index richness change over time The p-value that the species diversity changed over time. se_diversity Generalized Least Squares standard error of species Shannon diversity index Generalized Least Squares standard error of species diversity. trend_diversity Significance indication for species Shannon diversity index "Positive" if the slope is positive and significant, "negative" if the slope is negative and significant, otherwise "no change". slope_abundance Generalized Least Squares slope of the species abundance Generalized Least Squares slope of the species abundance. p_abundance p-value abundance Generalized Least Squares p-value of the species abundance change over time. se_abundance Generalized Least Squares standard error abundance Generalized Least Squares standard error of the species abundance change over time. trend_abundance Significance indication for the species abundance change "Positive" if the slope is positive and significant, "negative" if the slope is negative and significant, otherwise "no change".