cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8310979
title: Supplementary datasets for "Thermal evolution of the lithosphere-asthenosphere boundary beneath arc and its geodynamic implications: depth variation of thermal histories of mantle xenoliths from Ichinomegata, Northeast Japan"

description: Supplementary datasets for Sato and Ozawa (2023, JGR:SE) "Thermal evolution of the lithosphere-asthenosphere boundary beneath arc and its geodynamic implications: depth variation of thermal histories of mantle xenoliths from Ichinomegata, Northeast Japan" <strong>Data Set S1.</strong> Original chemical zoning profile data of olivine and pyroxene and raw results of the diffusion modelling applied to them. <strong>Data Set S2.</strong> Original X-ray mapping data of olivine and pyroxene.
DOI: 10.5281/zenodo.8317188
title: Supplementary datasets for "Thermal evolution of the lithosphere-asthenosphere boundary beneath arc and its geodynamic implications: depth variation of thermal histories of mantle xenoliths from Ichinomegata, Northeast Japan"

description: Supplementary datasets for Sato and Ozawa (2023, JGR:SE) "Thermal evolution of the lithosphere-asthenosphere boundary beneath arc and its geodynamic implications: depth variation of thermal histories of mantle xenoliths from Ichinomegata, Northeast Japan" <strong>Data Set S1.</strong> Original chemical zoning profile data of olivine and pyroxene and raw results of the diffusion modelling applied to them. <strong>Data Set S2.</strong> Original X-ray mapping data of olivine and pyroxene. <strong>Data Set S3.</strong> Composite images of microphotographs showing the entire thin section of the examined xenolith samples.
DOI: 10.26093/cds/vizier.36450094
title: NGC 2264 clumps column densities

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Mass segregation and sequential star formation in NGC 2264 revealed by Herschel.' (bibcode: 2021A&A...645A..94N)
DOI: 10.26093/cds/vizier.36540093
title: Polar dust obscuration in broad-line AGN

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Polar dust obscuration in broad-line active galaxies from the XMM-XXL field.' (bibcode: 2021A&A...654A..93B)
DOI: 10.26093/cds/vizier.36570123
title: OGLE IV and Gaia EDR3 data for RR Lyrae stars

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Precise distances from OGLE-IV member RR Lyrae stars in six bulge globular clusters.' (bibcode: 2022A&A...657A.123O)
DOI: 10.26093/cds/vizier.36570033
title: Lithium in the LRGB of 5 globular clusters

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Lithium in the lower red giant branch of five Galactic globular clusters.' (bibcode: 2022A&A...657A..33A)
DOI: 10.26093/cds/vizier.36570093
title: Fornax globular clusters

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'The Fornax Cluster VLT Spectroscopic Survey. III. Kinematical characterisation of globular clusters in the Fornax galaxy cluster.' (bibcode: 2022A&A...657A..93C)
DOI: 10.6084/m9.figshare.3761562.v2698
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.24082323
title: Values attributed to Russia in Putin’s speeches on the ‘special military operation’ against Ukraine during its first phase (February – September 2022)

description: A detailed list of the values attributed by Putin to Russia in his statements about the Russian-Ukrainian war (February - September 2022)
DOI: 10.6084/m9.figshare.24082326
title: Values attributed to the West in Putin’s speeches on the ‘special military operation’ against Ukraine during its first phase (February – September 2022)

description: A detailed list of the values attributed by Putin to the West in his statements about the Russian-Ukrainian war (February - September 2022)
DOI: 10.6084/m9.figshare.24082326.v1
title: Values attributed to the West in Putin’s speeches on the ‘special military operation’ against Ukraine during its first phase (February – September 2022)

description: A detailed list of the values attributed by Putin to the West in his statements about the Russian-Ukrainian war (February - September 2022)
DOI: 10.26093/cds/vizier.19090129
title: HectoMAP redshift survey DR1

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'The HectoMAP redshift survey: first data release.' (bibcode: 2021ApJ...909..129S)
DOI: 10.26093/cds/vizier.22570046
title: Membership and rotational data for clusters

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Stellar rotation in the Gaia era: revised open clusters' sequences.' (bibcode: 2021ApJS..257...46G)
DOI: 10.5281/zenodo.7067074
title: Data of "Ductile fracture of high entropy alloys: from the design of an experimental campaign to the development of a micromechanics-based modeling framework"

description: Data related to the publication (we would be grateful if you could cite the paper in the case in which you are using the data): title = "Ductile fracture of high entropy alloys: from the design of an experimental campaign to the development of a micromechanics-based modeling framework",<br> journal = "Engineering Fracture Mechanics",<br> year = "2022",<br> volume = "275",<br> pages = "108844 ",<br> doi = "https://doi.org/10.1016/j.engfracmech.2022.108844",<br> author = "Antoine Hilhorst, Julien Leclerc, Thomas Pardoen, Pascal J. Jacques, Ludovic Noels, Van-Dung Nguyen" New version following review.
description: The research has been funded by the Walloon Region under the agreement no. 1610154-EntroTough in the context of the 2016 WalInnov call.
DOI: 10.5281/zenodo.7067075
title: Data of "Ductile fracture of high entropy alloys: from the design of an experimental campaign to the development of a micromechanics-based modeling framework"

description: Data related to the publication (we would be grateful if you could cite the paper in the case in which you are using the data): title = "Ductile fracture of high entropy alloys: from the design of an experimental campaign to the development of a micromechanics-based modeling<br> framework",<br> journal = "Engineering Fracture Mechanics",<br> year = "202",<br> volume = "",<br> pages = " ",<br> doi = "https://doi.org/",<br> author = "Antoine Hilhorst, Julien Leclerc, Thomas Pardoen, Pascal J. Jacques, Ludovic Noels, Van-Dung Nguyen"<br>
description: The research has been funded by the Walloon Region under the agreement no. 1610154-EntroTough in the context of the 2016 WalInnov call.
DOI: 10.5281/zenodo.7093549
title: Data of "Ductile fracture of high entropy alloys: from the design of an experimental campaign to the development of a micromechanics-based modeling framework"

description: Data related to the publication (we would be grateful if you could cite the paper in the case in which you are using the data): title = "Ductile fracture of high entropy alloys: from the design of an experimental campaign to the development of a micromechanics-based modeling framework",<br> journal = "Engineering Fracture Mechanics",<br> year = "2022",<br> volume = "275",<br> pages = "108844 ",<br> doi = "https://doi.org/10.1016/j.engfracmech.2022.108844",<br> author = "Antoine Hilhorst, Julien Leclerc, Thomas Pardoen, Pascal J. Jacques, Ludovic Noels, Van-Dung Nguyen" New version following review.
description: The research has been funded by the Walloon Region under the agreement no. 1610154-EntroTough in the context of the 2016 WalInnov call.
DOI: 10.6084/m9.figshare.24082338.v1
title: Supplemental File 1.xlsx

description: Study's miRNA percentage and concentration
DOI: 10.5281/zenodo.7612548
title: Exploring spatiotemporal dynamics of flower visitor association pattern on two Avicennia mangroves: A network approach

description: All the data sets used in the analyses of this study are provided here along with the <strong>R-Script.</strong><br> The datasets for foraging behaviour and Generalized linear mixed models will be provided upon request to the first or corresponding author of this article. <strong>Please note that, in this R-script, we have shown the codes only for one dataset of respective analyses.</strong><br> <strong>PLEASE NOTE: In this R-script, there are two minor mistakes, as follows:<br> 1) Line no. 46<br> Present code: </strong><strong>nulls &lt;- nullmodel(I_S.network, N=1000, method=3) ##(3=Vaznull) ## file name mistake<br> Correct code: nulls &lt;- nullmodel(AO_Site, N=1000, method=3) ##(3=Vaznull)</strong> <strong>2) Line no. 55<br> Present code: AO_Site_V&lt;-AM_Site[,-1] ##Omitting individual coloumn(species) ## file name mistake<br> Correct code: AO_Site_V&lt;-AO_Site[,-1] ##Omitting individual coloumn(species)</strong> <strong>Description of the data set</strong> Data explorers the plant-flower visitor network with spatiotemporal approaches. Here, AM denotes <em>Avicennia marina </em>and AO denotes <em>Avicennia officinalis. </em>For the overall site-visitor network (combining all years and all time frames) datasets are AO_Site and AM_Site. For the overall visiting time-visitor network (combining all years and all sites) the datasets are AO_Time and AM_Time For the site-visitor networks on the yearly scale, the datasets are AO_2016, AO_2017, AO_2018, AM_2016, AM_2017 and AM_2018. For the site-specific visiting time-visitor networks the datasets are AO_Satjelia, AO_Bali, AO_Sagar, AO_Bakkhali, AM_Satjelia, AM_Bali, AM_Sagar and AM_Bakkhali.
DOI: 10.5281/zenodo.7612547
title: Exploring spatiotemporal dynamics of flower visitor association pattern on two Avicennia mangroves: A network approach

description: All the data sets used in the analyses of this study are provided here along with the <strong>R-Script.</strong><br> The datasets for foraging behaviour and Generalized linear mixed models will be provided upon request to the first or corresponding author of this article. <strong>Please note that, in this R-script, we have shown the codes only for one dataset of respective analyses.</strong><br> <strong>PLEASE NOTE: In this R-script, there are two minor mistakes, as follows:<br> 1) Line no. 46<br> Present code: </strong><strong>nulls &lt;- nullmodel(I_S.network, N=1000, method=3) ##(3=Vaznull) ## file name mistake<br> Correct code: nulls &lt;- nullmodel(AO_Site, N=1000, method=3) ##(3=Vaznull)</strong> <strong>2) Line no. 55<br> Present code: AO_Site_V&lt;-AM_Site[,-1] ##Omitting individual coloumn(species) ## file name mistake<br> Correct code: AO_Site_V&lt;-AO_Site[,-1] ##Omitting individual coloumn(species)</strong> <strong>Description of the data set</strong> Data explorers the plant-flower visitor network with spatiotemporal approaches. Here, AM denotes <em>Avicennia marina </em>and AO denotes <em>Avicennia officinalis. </em>For the overall site-visitor network (combining all years and all time frames) datasets are AO_Site and AM_Site. For the overall visiting time-visitor network (combining all years and all sites) the datasets are AO_Time and AM_Time For the site-visitor networks on the yearly scale, the datasets are AO_2016, AO_2017, AO_2018, AM_2016, AM_2017 and AM_2018. For the site-specific visiting time-visitor networks the datasets are AO_Satjelia, AO_Bali, AO_Sagar, AO_Bakkhali, AM_Satjelia, AM_Bali, AM_Sagar and AM_Bakkhali.
DOI: 10.6084/m9.figshare.24082356.v1
title: Supplemental File 2.xlsx

description: Circulating miRNAs identified
DOI: 10.5287/bodleian:o8jv7byjn
title: [Data and analysis] Optimisation of scalable ion-cavity interfaces for quantum photonic networks
DOI: 10.5281/zenodo.8132858
title: iMUSH_GCA: Dataset

description: Contents of this zip file are explosion and earthquake metadata alongside nodal and Texan waveforms used in the local detection of Ground Coupled Acoustic waves with multiple types of seismometers and their potential role in the discrimination of explosions and earthquakes.
DOI: 10.5281/zenodo.8132857
title: iMUSH_GCA: Dataset

description: Contents of this zip file are explosion and earthquake metadata alongside nodal and Texan waveforms used in the local detection of Ground Coupled Acoustic waves with multiple types of seismometers and their potential role in the discrimination of explosions and earthquakes.
DOI: 10.17882/96152
title: Microplastics in surface waters from the Sontecomapan lagoon, Mexico

description: The data presented correspond to the number of microplastic particles in a liter of water collected in the Sontecomapan lagoon, Mexico. Sampling was done in June 2018 and October 2019 in 10/12 sites of the lagoon and the collecting method consisted of obtaining surface water with a 10-liter container; the content was stirred manually, and then, one liter of water was transferred to a 1-liter glass flask and kept at 4 °C. In the laboratory, the water was sieved through two coupled sieves (4.75 and 0.053 mm), and the retained material between the sieves was subjected to organic matter oxidation with hydrogen peroxide. Microplastic detection was made using a Raman DXR microscope Thermo Fisher, and the concentration of microplastics was expressed as the number of particles per liter of water. In June, microplastic particles were found in all the ten sampling stations examined, in a range of 7 to 26 part/L (mean concentration 13.5 part/L). In October, twelve samples were taken, but five were broken during the transport; in this month, concentration varied between 0 and 6 part/L (mean concentration 2 part/L).
DOI: 10.17882/96079
title: Atlantic inflow into the southern Nordic Seas at the onset of the LGM promotes open-ocean conditions and Fennoscandian Ice Sheet growth

description: The Atlantic water inflow into the Nordic Seas has proven difficult to reconstruct for the Last Glacial Maximum (LGM). At that time, the Fennoscandian Ice Sheet grew potentially to its maximum extent. Sea-ice free conditions in the eastern Nordic Seas have been proposed as an essential moisture source contributing to this build-up. It has been hypothesized that the inflow of warm and saline Atlantic surface waters was important for maintaining these seasonally sea-ice free conditions in the Nordic Seas at that time. However, the difference between a perennially frozen ocean and a seasonally open ocean on ice sheet build-up remains unquantified. Here we use, tephra-constrained surface ventilation ages from a network of marine sediment cores and model experiments, to show that Atlantic inflow to the southern Nordic Seas likely occurred predominately via the Iceland-Faroe Atlantic inflow pathway helping to maintain seasonal open waters at the onset of the LGM. Using a numerical snow model, we further demonstrate that such open-ocean conditions may have been a factor contributing to the Fennoscandian Ice Sheet growth with a ~150% increase in surface mass balance over Norwegian coastal areas, compared to sea-ice covered conditions.
DOI: 10.17882/96053
title: Bathymetry from Les Saintes area (Lesser Antilles volcanic arc): 10m grid from the Bathysaintes cruise

description: Bathymetry grid, with a pixel resolution of 10 m, from bathymetry data acquired during the 2010 Bathysaintes cruise (https://doi.org/10.17600/10030020). Data were controlled and processed with the Ifremer Caraibes software.
DOI: 10.17882/95952
title: ATLAS - Advanced ecosysTem monitoring in ecoLogicAl obServatory

description: This pilot project aimed at setting a baseline of eDNA integration with other techniques/end users communities, that can be applied on fixed monitoring points such as cabled observatories. It comprises several aspects: a - monitoring capability aspects on the integration of multiple independent datasets (images, sounds, environmental parameters with molecular genetics approaches), methodological for eDNA (time point sampling using Niskin bottles + filtration vs. autonomous sampler over 24 hours’ period), and use of time-series as a benchmark for comparison. b - methodological aspects to expand the use of eDNA to evaluate the biodiversity monitoring efficiency in a coastal technological hub. The use of different primer combinations would provide feedback on hidden biodiversity components never measured with present sensor assets. c - Validation aspects on the pathway or the creation of in-situ operating eco-genomic sensors: Automated eDNA sampler coupled with time point sampling could be redefined in terms of number (more sampling throughout the day) or filtering larger amounts of water. Comparisons in monitoring capabilities by manual sampling and remotely scheduled filtering to be used as a benchmark to set optimum volumes and frequency of filtering. d - Data processing and statistic elaboration aspects: extract (prior) information from the long time series of OBSEA images, abiotic measurements, and how eDNA can complement the monitoring process, to test hypotheses and cause/effect relationships associated with in situ manipulations.
DOI: 10.17882/95815
title: SEASAM2023 : estimating fish diversity and abundance through environmental DNA sampling

description: The dataset consists of information on fish abundance (qPCR data) and diversity (HTS metabarcoding) measured through environmental DNA (eDNA) sampling. eDNA samples were collected from the Acqua Alta oceanographic platform, located in the northern Adriatic Sea, 5 nm outside of the Venice lagoon. Samples were collected over 4 weeks, from the 22nd of May 2023 to the 17th of June 2023. eDNA samples were aquired using both active and passive methods (i.e. filtration and passive filter deployment). DNA was extracted using a commercial kit (DNEasy Blood & Tissue) and quantified using a universal qPCR assay targeting fish (MiFish-U primers). Metabarcoding will be performed with Oxford Nanopore Sequencing using markers targeting 12S and COI genes. This data will provide information regarding the abundance and diversity of the fish communities, as well as produce methodological advice regarding active/passive sampling methods. The sampling campaign was carried out entirely in collaboraton with ISMAR Venice, but most of the lab work and data analysis is/will be carried out at Atlantic Technological University (Ireland) by the PI of the project (Maddalena Tibone). The sample collection metadata and qPCR analysis data is already available, while the metabarcoding data will be made available as soon as sequencing is performed.
DOI: 10.17882/95809
title: Data for Typology of Plankton Communities seen by In Situ Imaging in the First 500 m of the Global Ocean

description: Supporting data for the paper "Three major mesoplanktonic communities resolved by in situ imaging in the upper 500 m of the global ocean" Aim The distribution of mesoplankton communities have been poorly studied at global scale, especially from in situ instruments. This study aims to (1) describe the global distribution of mesoplankton communities in relation with their environment and (2) assess the ability of various environmental-based ocean regionalisations to explain the distribution of these communities. Location Global ocean, 0 - 500 m depth. Time period 2008 - 2019 Major taxa studied 28 groups of large mesoplanktonic and macroplanktonic organisms, covering Metazoa, Rhizaria and Cyanobacteria. Methods From a global data set of 2500 vertical profiles making use of the Underwater Vision Profiler 5 (UVP5), an in situ imaging instrument, we studied the global distribution of large (&gt; 600 µm) mesoplanktonic organisms. Among the 6.8 million imaged objects, 330,000 were large zooplanktonic organisms and phytoplankton colonies, the rest consisting of marine snow particles. Multivariate ordination (PCA) and clustering were used to describe patterns in community composition, while comparison with existing regionalisations was performed with regression methods (RDA). Results Within the observed size range, epipelagic plankton communities were Trichodesmium-enriched in the intertropical Atlantic, Copepoda-enriched at high latitudes and in upwelling areas, and Rhizaria-enriched in oligotrophic areas. In the mesopelagic layer, Copepoda-enriched communities were also found at high latitudes and in the Atlantic Ocean, while Rhizaria-enriched communities prevailed in the Peruvian upwelling system and a few mixed communities were found elsewhere. The comparison between the distribution of these communities and a set of existing regionalisations of the ocean suggested that the structure of plankton communities described above is mostly driven by basin-level environmental conditions. Main conclusions In both layers, three types of plankton communities emerged and seemed to be mostly driven by regional environmental conditions. This work sheds light on the role not only of metazoans, but also of unexpected large protists and cyanobacteria in structuring large mesoplankton communities.
DOI: 10.17882/95806
title: Plankton and particles from Seaexplorer glider and UVP6 across the Ligurian Front

description: We targeted a permanent mesoscale front in the Ligurian Sea (NW Mediterranean) that we repeatedly sampled between January and June 2021 using a SeaExplorer glider equipped with a UVP6, a versatile in situ imager. We aimed to resolve plankton and particle distribution during the spring bloom, to assess whether the front was a location of increased concentration of zooplankton, and if it constrained the distribution of particles. During the 5 months, the glider did more than 5,000 dives and the UVP6 collected 1.1 million images. Images captured by the UVP6 during cruising (n = 785,405) were imported into the Morphocluster application to quickly detect large clusters of similar objects (e.g. marine snow aggregates). In a second step, images collected during back transects (n = 434,129, on which we focused our analyses) were imported onto the EcoTaxa web application with their Morphocluster label in order to be sorted at a finer scale into taxonomic or morphological groups (marine snow, artefact, badfocus, reflection or unidentifiable) with the help of a supervised machine learning algorithm. As sorting all 400k+ images would have required a multiple months effor, we instead decided to rely on the prediction of a Random Forest classifier fed with both handcrafted and deep features generated by a MobileNet V2 feature extractor previously finetuned on UVP6 data. We selected a RF classifier for the following reasons: RFs tend to produce good classification probability estimates (Niculescu-Mizil and Caruana 2005), they are faster to train than a full CNN stack and, when trained with deep features, they perform as well as a full CNN. The dataset thus contains the following elements: - CTD data, some collected by the glider payload, and other collected by a SMRU - particles data, exported from Ecopart - plankton data, exported from Ecotaxa. Validated objects were either individually inspected by an operator, or batch validated in the morphocluster application. Predicted classifications were not reviewed.
DOI: 10.17882/95793
title: Data for the determination of the reaction norms of the Pacific oyster and the European flat oyster in response to ocean acidification

description: Dataset associated to : Caillon, C., Pernet, F., Lutier, M., and Di Poi, C. Reaction norms of two oyster species from different habitats in response to ocean acidification, in submission. The database contains data from: 1. seawater physico-chemical parameters during the acclimation period, 2. oyster survival during the acclimation period, 3. biometrics of oyster species, 4. shell coloration of oyster species, 5. composition of the membrane fatty acids of oyster species, 6. temporal evolution of the phytoplankton cell volume, 7. fatty acid composition of phytoplankton, 8. energy reserves of oyster species.