cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15498546
title: MD Simulation of DNA gyrase subunit A (gyrA) and topoisomerase IV subunit C (parC) proteins of P. aeruginosa (with mutations recorded in 2018), each in complex with Levofloxacin (LEV) ligand molecule

description: Mutated sequences of DNA gyrase (subunit A) and topoisomerase IV (subunit C) proteins (recorded in 2018) associated with P. aeruginosa are modeled and individually docked with a molecule of Levofloxacin. The data from subsequent Molecular Dynamics simulation is presented.

 

The data from the Molecular Modelling and Docking Simulations can be found here:

Roy, A. (2025). Docking of several proteins associated with strains of Pseudomonas aeruginosa with various antibiotic molecules [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15383904
DOI: 10.5281/zenodo.15600657
title: Global surge-type glacier and surge hazards inventory_Lovell et al._2025

description: This is a global inventory of surge-type glaciers and surge-related hazards in .xlsx and .shp format.
DOI: 10.5281/zenodo.13346322
title: ForestPaths: European FHD map

description: This repository contains a 10 m resolution FHD map of the year 2020 over Europe derived from Sentinel-1 and Sentinel-2 data. The map is available as COGs over a 100 km grid in the spatial reference system EPSG 3035 (ETRS89 / LAEA Europe). 

Known issues

-        Due to the lack of GEDI data in the north of Europe, the accuracy of the model is expected to be lower above 52 degrees latitude.
DOI: 10.5281/zenodo.14577628
title: Database of up-to-date probabilistic technology cost forecasts

description: This repository contains a database of up-to-date probabilistic technology cost forecasts for key low-carbon and clean energy technologies, developed as part of the Deliverable D3.2 of the PRISMA project. A few different technology cost forecasting methods are applied, and salient methodological issues are discussed, in order to stimulate progress on how energy system models (ESM) and integrated assessment models (IAM) represent technological change and its uncertainty. 

The database includes: •    Up-to-date probabilistic technology cost forecasts for solar photovoltaics, onshore and offshore wind energy, lithium-ion batteries, PEM electrolyzers, and LED lighting.•    Model forecasts for lithium-ion battery packs and fuel cell systems used in commercial road freight vehicles.•    Technology cost forecasts for three types of direct air carbon capture and storage (DACCS) constructed using a variation in inherent technology characteristics.•    New learning rate estimate for geothermal energy.

Associated report describes the database; outlines the key issues with the reliability of existing deterministic technology cost forecasts and forecasting methodologies; describes recent cost forecasting methodologies that address these issues from various perspectives and how these methodologies are applied to generate technology cost forecasts included in the database; visualizes these forecasts as data plots; and briefly describes key potential uses and limitations of these forecasts. 

Please note that the database is embargoed until 1 January 2026 and preliminary access can only be granted for project review purposes. For any questions, please contact the authors.
DOI: 10.5281/zenodo.17906926
title: Dataset for: "Defect-state engineering in (Bi,Sb)₂Te₃ topological insulators via indium doping"
DOI: 10.5281/zenodo.13884970
title: Daily northern latitude (>30N) biospheric methane emissions estimated with the ecosystem model JSBACH-HIMMELI.

description: Daily estimates of northern latitude (>30N) biospheric methane emissions from JSBACH-HIMMELI  model from year 1990 to year 2022. JSBACH-HIMMELI is an ecosystem process model based on JSBACH land surface model, YASSO soil carbon model and HIMMELI methane emission model. The gridded fluxes are available with a resolution of 0.5x0.5 degrees and in units of kg[CH4] m-2 s-1 (m-2 refers to grid cell area). The gridded flux files contain a variable for methane fluxes, including a sum of methane fluxes from peatlands, inundated lands and mineral soils (LAND) and separate files (PEATLAND, INUN, MINERAL) for those components. More information of the model set-up is documented in Petrescu, A. M. R., et al., The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019, Earth Syst. Sci. Data, 15, 1197–1268, https://doi.org/10.5194/essd-15-1197-2023, 2023, Tyystjärvi, V., 2024. Future methane fluxes of peatlands are controlled by management practices and fluctuations in hydrological conditions due to climatic variability. EGUsphere 1–37. https://doi.org/10.5194/egusphere-2023-3037 and Raivonen, M. et al., 2017. HIMMELI v1.0: HelsinkI Model of MEthane buiLd-up and emIssion for peatlands. Geoscientific Model Development 10, 4665–4691. The Creators and Contributors are affiliated to Finnish Meteorological Institute.
DOI: 10.5281/zenodo.7397568
title: A population in perpetual motion: highly dynamic roosting behaviour of a tropical island endemic bat

description: Dataset and R script for the manuscript "A population in perpetual motion: highly dynamic roosting behaviour of a tropical island endemic bat". During the embargo period, data is available upon request from the authors (muriel.dietrich@ird.fr).
DOI: 10.5281/zenodo.7397555
title: A population in perpetual motion: highly dynamic roosting behaviour of a tropical island endemic bat

description: Dataset and R script for the manuscript "A population in perpetual motion: highly dynamic roosting behaviour of a tropical island endemic bat". During the embargo period, data is available upon request from the authors (muriel.dietrich@ird.fr).
DOI: 10.5281/zenodo.15450554
title: AI-Driven Cloud Resource and Energy Consumption Dataset

description: This dataset was developed as part of a capstone project titled "AI-Driven Optimization in Hybrid Cloud Environments". It contains time-series logs of resource consumption and energy usage from simulated and real-world hybrid cloud clusters.

The dataset is designed to support the development and evaluation of machine learning models for:





Resource allocation







Energy efficiency optimization







Workload forecasting







Sustainable cloud computing



Data is organized into training, validation, and testing sets, covering CPU usage, memory consumption, network traffic, request rates, latency, energy draw, and financial costs. The dataset reflects typical behavior across test, staging, and production environments and aims to enable energy savings of up to 30% and cost reductions of 25%.

This resource supports academic and industrial research in AI, cloud sustainability, FinOps, and dynamic infrastructure scaling.
DOI: 10.5281/zenodo.16894513
title: Dataset associated with the paper titled "Metallic Boron Allotropes".
DOI: 10.5281/zenodo.16733907
title: Diversity and seasonal dynamics of arthropods interacting with the lichen Lobaria pulmonaria

description: This dataset contains the number of individuals from 25 identified arthropod groups found in each thallus of Lobaria pulmonaria collected, as well as in traps placed at breast height and at the base of trees. The data were collected from Fagus sylvatica and Quercus pyrenaica specimens located in the Hayedo de Montejo (Madrid, Spain). Sampling was conducted across all four seasons, reflecting seasonal variation in arthropod presence.
DOI: 10.5281/zenodo.17047659
title: Sea currents data from South-Western Black Sea, July 2024

description: The dataset contains sea currents data collected in South-Western Black Sea withing the Turkish EEZ in July 2024 in framework of the R/V Bilim-2 cruise supported by EU-funded BRIDGE-BS project.

The data on sea currents velocities were acquired aboard the research vessel R/V Bilim-2 with ADCP OS150. Raw data were processed with CODAS software, imported to ODV collection and, upon finalizing quality control, exported to output file.
DOI: 10.5281/zenodo.7756557
title: Minion sequencing experiment, Macoma balthica, Vancouver BC

description: Results from Minion sequencing experiment, for Macoma balthica from Vancouver BC. 


Pool of 10 individuals. Target : mitochondrial genomes. 


Vancouver_2023-03-16.tar.gz contains the raw data. 


fastq_runid_5b77d028c5e2872dda6946458aed8ae808cd60f8_[0to3]_0.fastq.gz are the base-called data (guppy, fast).
DOI: 10.5281/zenodo.14586378
title: DNA 16SrDNA sequences raw data, MLST concatenes sequence by genus and MLST raw data sequences by strain

description: DNA raw data sequences :



16rDNA sequences by strains as .ab1 file: 156 files X 2 : forward sequence (as R1) and reverse sequence (as R2).

Multilocus sequences concatenes sequence as fasta file per genus : 23  files for strains of genus Bacillus; 8 files for strains of genus Citrobacter;  31 files for strains of genus Enterococcus; 28 files for strains of genus Vibrio

Multilocus sequences raw data by strain as fasta file and .ab1 files.
DOI: 10.5281/zenodo.17020971
title: Data for When Low-Smoke Fuels Backfire: The Dilemma of Ultrafine Particle Emissions
DOI: 10.5281/zenodo.15374527
title: On the relationship between environment and growth of sweet chestnut (Castanea sativa) in the Caucasus

description: Quantifying the environmental factors influencing tree growth dynamics is essential for predicting ecosystem responses, especially under global climate change. However, achieving comprehensive, long-term tree-growth monitoring across extensive regions can be resource-intensive. Ideally, dendrochronological measurements are complemented by models capable of efficiently estimating growth patterns, particularly in under-sampled regions. We applied a modeling approach combining generalized additive models (GAMs) and extensive dendrochronological data from 258 Sweet chestnut (Castanea sativa Miller) cores collected across Georgia and eastern Turkey. Although GAMs are widely used in ecological research, their application to modeling tree growth remains limited. Our models identified stand age, minimum temperature of coldest month, precipitation during the driest quarter, soil nitrogen content, and soil pH as significant predictors, explaining substantial variability in Ca. sativa growth rates. Younger stands (<50 years) in regions characterized by mild winter temperatures, moderate precipitation, acidic soils (pH 5.0–6.0), and elevated nitrogen content exhibited optimal growth conditions. Future scenario analyses (SSP126, SSP370, and SSP585) revealed regionally variable impacts, highlighting areas vulnerable to climate-induced stress or benefiting from warmer and drier conditions. Although the predictive validity of our model is restricted to the current distribution range of Ca. sativa, it provides a robust basis for estimating growth across the Caucasus ecoregion, particularly where detailed monitoring data is limited.
description: The dataset Data.csv includes 258 observations and 38 elements, featuring entire data without any missing values. The dataset encompasses metrics pertaining to trees elements (diameter D, average annual increment Ave_Inc, and Age), topographical components (elevation - M_SRTM_DEM, slope, aspect, ruggedness), and edaphic factors (soil organic carbon soc_ave, pH phh2o_ave, nitrogen, clay, sand, and silt content). The dataset includes high-resolution bioclimatic variables obtained from the CHELSA database (M_CHELSA_bio_01 to M_CHELSA_bio_19), which provide essential climate indicators such as annual mean temperature, temperature seasonality, and precipitation throughout various time periods. The climate variables are scaled (temperatures multiplied by 10). Furthermore, variables like Sample_CSV and Series serve as identifiers/ records. The database is ready for ecological modeling, and incorporates biophysical, topographic, soil, and climatic data  relevant to tree growth study.
DOI: 10.5281/zenodo.15129971
title: Shock compression-based equation of state for perfluorohexane

description: Contains the dataset/files for the manuscript titled "Shock compression-based equation of state for perfluorohexane".



Videos of impact experiments

Videos of shock-droplet experiments

ECOGEN simulation files

Multi-objective optimization files

Data for all graphs reported in the manuscript
DOI: 10.5281/zenodo.15249555
title: Tricky logic riddles for LLM reasoning evaluation

description: This dataset consists of a small collection of logic-based riddles, including tricky questions and some math problems that require lateral thinking, and interpretation of nuanced language.

The purpose of this dataset is to evaluate the reasoning capabilities of large language models (LLMs) when faced with cognitively challenging prompts that simulate real-world ambiguity and trick-based logic. Each riddle has a clearly defined answer, allowing the dataset to be used for qualitative or automated benchmarking of model responses. This problems are commonly known online but do not have a clear source.
DOI: 10.5281/zenodo.15475469
title: MD Simulation of DD-Transpeptidase (PBP) protein of P. aeruginosa (with mutations recorded in 2018) and Penicillin (PEN) ligand molecule

description: A mutated sequence of DD-transpeptidase/PBP2 protein (recorded in 2018) associated with P. aeruginosa is modeled and docked with a molecule of Penicillin. The data from subsequent Molecular Dynamics simulation is presented.

 

The data from the Molecular Modelling and Docking Simulations can be found here:

Roy, A. (2025). Docking of several proteins associated with strains of Pseudomonas aeruginosa with various antibiotic molecules [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15383904
DOI: 10.5281/zenodo.17476208
title: Above- and Belowground Impacts of Spartina patens Invasion in Mediterranean Salt Marshes: Ecological Insights and Management Priorities
DOI: 10.5281/zenodo.17047347
title: Sea currents data from Southern Black Sea, June 2023.

description: The dataset contains sea currents data collected in Southern Black Sea withing the Turkish EEZ in June 2023 in framework of the R/V Bilim-2 cruise supported by EU-funded BRIDGE-BS project.

The data on sea currents velocities were acquired aboard the research vessel R/V Bilim-2 with ADCP OS150. Raw data were processed with CODAS software, imported to ODV collection and, upon finalizing quality control, exported to output file.
DOI: 10.5281/zenodo.14731789
title: Diagnostic Properties of Three Sediment Cores Collected in 2021-2022 from Three Water Reservoirs Draining Contaminated Catchments after the Fukushima Daiichi Nuclear Power Plant Accident (Mano Dam, Ogaki Dam, and Yokokawa Dam)

description: The current dataset was compiled to investigate sediment and radiocesium transfers in three water reservoirs: Mano Dam reservoir, Ogaki Dam reservoir and Yokokawa reservoir, which were contaminated following the Fukushima Daiichi nuclear power plant accident in March 2011.

This dataset contains three sediment cores, collected in 2021 in the Mano Dam reservoir and in 2022 in the Ogaki and Yokokawa reservoirs, and on potential source soils. Potential source materials include forest topsoil (n = 42), farmland topsoil (n = 56) and subsoil (subsoil material and landslide; n = 17). The dataset allows the assessment of spatial heterogeneity in sediment dynamics, erosion processes and contaminant transfer, providing insights into landscape and management influences on sediment sources and deposition patterns. Flood sediment samples were collected in November following major flood events associated with the occurrence of extreme precipitation events such as typhoons or tropical storms. 

The dataset consists of four CSV files containing data and metadata with variable descriptions.

Recommended encoding format: latin1
DOI: 10.5281/zenodo.17047030
title: Sea currents data from South-Western Black Sea, September 2021

description: The dataset contains sea currents data collected in South-Western Black Sea withing the Turkish EEZ in September 2021 in framework of the R/V Bilim-2 cruise supported by EU-funded BRIDGE-BS project.

The data on sea currents velocities were acquired aboard the research vessel R/V Bilim-2 with ADCP OS150. Raw data were processed with CODAS software, imported to ODV collection and, upon finalizing quality control, exported to output file.
DOI: 10.5281/zenodo.16744567
title: Geochemistry in the Romanian shelf waters - August 2021 (PN 19 20 01 02 - National Project)

description: Dataset contains geochemistry data from the Romanian shelf. Data were collected onboard R/V Mare Nigrum, during a cruise conducted in August 2021, within the national project "Multidisciplinary research to improve knowledge of the climate change and human pressure interaction and its effects on the Black Sea ecosystem" – PN 19 20 01 02. Thirty stations distributed along 4 main transects (Sf. Gheorghe-SE, Portita-SE, Constanta-SE, and Mangalia-E) were performed for sediment investigations by the GeoEcoMar team.  Sediment samples were collectyed using Van Veen grab sampler and Multicorer MARK II-400, and analyzed for major and minor components as well as trace elements (by X-ray fluorescence) and total mercury in the GeoEcoMar lab.
DOI: 10.5281/zenodo.11122649
title: Secteur 101

description: Issu de la gestion de l’aménagement du territoire et du parcours de vie des bâtiments, le jumeau numérique 3D est un outil déjà bien défini avec des formats interopérables, standardisés et des chaînes opératoires/process éprouvés (collaboratives, traçabilité des fichiers et de leurs modifications, etc.).

Le présent projet de collaboration institutionnel se propose d’appliquer le maquettage 3D pour fournir, non pas une cinématique 3D esthétisante de plus, mais un véritable S.I.G 3D aux potentialités d’études immersives importantes. Un outil en quatre dimensions (référentiel euclidien et variable temporelle), regroupant les problématiques de conservation et de recherche, est, désormais, indispensable pour la gestion conservatoire et scientifique de la grotte Cosquer (Marseille, Bouche du Rhône.

Les précédentes preuves de concept issues de projets SHS ont prouvé la pertinence de lier l’expertise du CSTB aux objets patrimoniaux numériques issus de la recherche en sciences humaines et sociales. Le retour d’expérience du CSTB face à l’étude de la résistance et du vieillissement des matériaux sera, tout particulièrement, attendu face aux problématiques de conservation de « Cosquer ».

Cette mise en place numérique peut, également, palier à la grande difficulté d’accès à « Cosquer » et au temps d’intervention très réduit in situ. Autant immergé que submergé, l’espace d’étude sera celui du gisement archéologique et de la zone immédiatement autour de ce dernier. La création du jumeau numérique « Cosquer » permettra le travail collaboratif des différents personnels scientifiques et des organismes collaborant aux études actuelles ou à venir (Inrap, CNP, Musées, MCC, LAMPEA, AMU, SRA, etc.).
DOI: 10.5281/zenodo.11125588
title: Secteur 101

description: Issu de la gestion de l’aménagement du territoire et du parcours de vie des bâtiments, le jumeau numérique 3D est un outil déjà bien défini avec des formats interopérables, standardisés et des chaînes opératoires/process éprouvés (collaboratives, traçabilité des fichiers et de leurs modifications, etc.).

Le présent projet de collaboration institutionnel se propose d’appliquer le maquettage 3D pour fournir, non pas une cinématique 3D esthétisante de plus, mais un véritable S.I.G 3D aux potentialités d’études immersives importantes. Un outil en quatre dimensions (référentiel euclidien et variable temporelle), regroupant les problématiques de conservation et de recherche, est, désormais, indispensable pour la gestion conservatoire et scientifique de la grotte Cosquer (Marseille, Bouche du Rhône.

Les précédentes preuves de concept issues de projets SHS ont prouvé la pertinence de lier l’expertise du CSTB aux objets patrimoniaux numériques issus de la recherche en sciences humaines et sociales. Le retour d’expérience du CSTB face à l’étude de la résistance et du vieillissement des matériaux sera, tout particulièrement, attendu face aux problématiques de conservation de « Cosquer ».

Cette mise en place numérique peut, également, palier à la grande difficulté d’accès à « Cosquer » et au temps d’intervention très réduit in situ. Autant immergé que submergé, l’espace d’étude sera celui du gisement archéologique et de la zone immédiatement autour de ce dernier. La création du jumeau numérique « Cosquer » permettra le travail collaboratif des différents personnels scientifiques et des organismes collaborant aux études actuelles ou à venir (Inrap, CNP, Musées, MCC, LAMPEA, AMU, SRA, etc.).
DOI: 10.5281/zenodo.11034413
title: Agricultural plastic waste in Italy-Spain-Greece-Portugal

description: Agricultural plastic waste in South Europe (Italy, Spain, Greece and Portugal) at the NUTS 2 regional level (EUROSTAT).
DOI: 10.5281/zenodo.15311335
title: Dataset of 50 cross-section images and manual annual ring delineations of Salix glauca from Western Greenland

description: Here we present 50 annotated cross-section images of Salix glauca collected from Disko Island, Greenland, in 2019 and 2020. Thin sections (12-15 μm) were stained with 1 % safranin and 0.5 % astrablue, and permanently mounted in Eukitt (BiOptica, Milan). Images were acquired at 100× magnification with an Axio Scan Z1 microscope (Zeiss, Germany; 2.26 pixel/μm)). The images were manually annotated using the Labelme Annotation Tool (Wada, 2024), with polygons created for each annual ring, pith, and outer boundary. Each annual ring was labeled according to the corresponding year. The dataset includes: 1) 50 high-resolution cross-section images in .jpg format, and 2) 50 corresponding annotation files in .json format. These annotated images provide a resource for Arctic shrub dendroecology and machine learning applications.
DOI: 10.5281/zenodo.11609434
title: Diagnostic Properties of River Flood Deposit Sediment Collected Annually from 2011 to 2023 at Ten Sites across a Water Reservoir Catchment Contaminated after the Fukushima Daiichi Nuclear Accident Radiocesium Fallout (Mano Dam)

description: The current dataset was compiled to investigate sediment and radiocesium transfers in the Mano Dam reservoir catchment from 2011 to 2023, which was contaminated following the Fukushima Daiichi nuclear power plant accident in March 2011.

This dataset contains river flood sediments collected annually at ten sites in the Mano Dam reservoir catchment (n = 102) and on potential source soils. Potential source materials include forest soils (n = 24), farmland soils (n = 24) and subsoil (subsoil material and landslide; n = 10). The dataset allows the assessment of spatial heterogeneity in sediment dynamics, erosion processes and contaminant transfer, providing insights into landscape and management influences on sediment sources and deposition patterns. Flood sediment samples were collected in November following major flood events associated with the occurrence of extreme precipitation events such as typhoons or tropical storms. 

The dataset consists of four CSV files containing data and metadata with variable descriptions.

Recommended encoding format: latin1
DOI: 10.5281/zenodo.12568119
title: Plastic additive analysis - Soil samples collected within the ESS frame

description: Clusters of tabular data (with metadata including variable labels, code labels and definition of missing value) reporting plastic additive determination in soils collected within the frame of the European Spatial Survey. The soil samples were collected from Germany, Czech Republic, Italy, Spain, Greece, Norway & Finland. Quality assurance measures were in place during analysis including calibration curves, blank measurements and use of validated methods.