A macrozoobenthic data set of the Black Sea northwestern shelf.

Sci Data

MAST-FOCUS, Department of Astrophysics, Geophysics and Oceanography, University of Liège, Allée du 6 Aoû t 19, 4000, Liège, Belgium.

Published: June 2025


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Benthic ecological data are crucial to study and manage ecosystems. On the one hand, abiotic and species data provide complementary information to identify habitats. On the other hand, trait data, describing taxon characteristics, are required to predict anthropogenic impacts on marine ecosystems. Indeed, species traits are now widely used to understand natural selection in communities or to highlight ecosystem functions. While trait data are in growing demand, compiling them is challenging, time-consuming and there are no properly established procedures for major marine ecosystems. Here, we share a data set comprising macrozoobenthic occurrences for 215 taxa over the Black Sea northwestern shelf, between 1995 and 2017, and 27 traits documented for 127 taxa that related to life cycle and ecosystem function. In addition, we provide an abiotic data set of physical and chemical variables generated by a model or compiled from in-situ data. This data set aims to fill the functional knowledge gap in the Black Sea and offers research opportunities to future studies covering ecosystem functions, biodiversity conservation, and management.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12145434PMC
http://dx.doi.org/10.1038/s41597-025-05311-2DOI Listing

Publication Analysis

Top Keywords

data set
16
black sea
12
sea northwestern
8
northwestern shelf
8
data
8
trait data
8
marine ecosystems
8
ecosystem functions
8
macrozoobenthic data
4
set
4

Similar Publications

Predicting complex time series with deep echo state networks.

Chaos

September 2025

School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.

Although many real-world time series are complex, developing methods that can learn from their behavior effectively enough to enable reliable forecasting remains challenging. Recently, several machine-learning approaches have shown promise in addressing this problem. In particular, the echo state network (ESN) architecture, a type of recurrent neural network where neurons are randomly connected and only the read-out layer is trained, has been proposed as suitable for many-step-ahead forecasting tasks.

View Article and Find Full Text PDF

Farm Injury Deaths and Workers' Compensation Claims in Australia and Their Economic Costs.

Aust J Rural Health

October 2025

AgHealth Australia, School of Rural Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.

Objective: To describe the pattern and estimated direct economic burdens associated with unintentional deaths and injuries on Australian farms over the past 11 years (2013-2023).

Design: Descriptive retrospective epidemiological study of National Coronial Information System (NCIS) data for persons fatally injured on a farm and workers' compensation injuries data from the National Data Set.

Setting: Australia.

View Article and Find Full Text PDF

Introduction: We compared and measured alignment between the Health Level Seven (HL7) Fast Healthcare Interoperability Resources (FHIR) standard used by electronic health records (EHRs), the Clinical Data Interchange Standards Consortium (CDISC) standards used by industry, and the Uniform Data Set (UDS) used by the Alzheimer's Disease Research Centers (ADRCs).

Methods: The ADRC UDS, consisting of 5959 data elements across eleven packets, was mapped to FHIR and CDISC standards by two independent mappers, with discrepancies adjudicated by experts.

Results: Forty-five percent of the 5959 UDS data elements mapped to the FHIR standard, indicating possible electronic obtainment from EHRs.

View Article and Find Full Text PDF

Most of the United States (US) population resides in cities, where they are subjected to the urban heat island effect. In this study, we develop a method to estimate hourly air temperatures at resolution, improving exposure assessment of US population when compared to existing gridded products. We use an extensive network of personal weather stations to capture the intra-urban variability.

View Article and Find Full Text PDF

The transition from traditional animal-based approaches and assessments to New Approach Methodologies (NAMs) marks a scientific revolution in regulatory toxicology, with the potential of enhancing human and environmental protection. However, implementing the effective use of NAMs in regulatory toxicology has proven to be challenging, and so far, efforts to facilitate this change frequently focus on singular technical, psychological or economic inhibitors. This article takes a system-thinking approach to these challenges, a holistic framework for describing interactive relationships between the components of a system of interest.

View Article and Find Full Text PDF