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11,792 Research products, page 1 of 1,180

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  • English
    Authors: 
    Allgeier, Jacob;
    Publisher: Biological and Chemical Oceanography Data Management Office (BCO-DMO)

    These data are fish surveys from May to December 2021 following the construction of the clusters of artificial reefs. There are three clusters, each with 9 artificial reefs all of which are spaced the same distance and each differs per cluster (1 meter, 3 meters, and 5 meters). Reefs were constructed in less than 4 meters of water in the Bight of Old Robinson, on Abaco, The Bahamas.

  • Open Access English
    Authors: 
    Lim,Jean; Thompson,Luke;
    Publisher: Zenodo

    Reference datasets (Nov2022 update) for Mitohelper (https://github.com/aomlomics/mitohelper) Mitohelper is a repository built to facilitate experimental design, alignment visualization, and reference sequence analysis in fish eDNA studies. Refer to our paper and Mitohelper's wiki for database construction pipeline. I. Reference database files in tab-separated format, containing gene, taxonomy, and sequence information: mitofish.all.Nov2022.tsv (776,210 records) mitofish.12S.Nov2022.tsv (44,560 records) mitofish.12S.Nov2022_NR.fasta (fasta file of 12S rRNA gene records) mitofish.COI.Nov2022.tsv (314,143 records) II. De-replicated QIIME 2-compatible 12S/12S+16S+18S rRNA reference datasets: 12S-seqs-derep-uniq.qza 12S-tax-derep-uniq.qza 12S-16S-18S-seqs.qza 12S-16S-18S-tax.qza If you use Mitohelper, please cite: Jean Lim, S, Thompson, LR. Mitohelper: A mitochondrial reference sequence analysis tool for fish eDNA studies. Environmental DNA. 2021; 00: 1– 10. https://doi.org/10.1002/edn3.187 Major update: The 12S rRNA gene sequence dataset is now filtered to only contain mitochondrial genomes annotated with 12S rRNA gene sequences. Sequences of the 12S rRNA gene are now extracted from complete mitochondrial genomes to construct a more gene-specific 12S rRNA dataset. 12S rRNA gene sequences in mitohelper's dataset are available for download as mitofish.12S.Nov2022_NR.fasta

  • Open Access English
    Authors: 
    Dagmara Rusiecka;
    Publisher: Zenodo

    Triple threat processes and/or other forcings can lead to changes in the ocean happening fast and abruptly. These changes, referred to as “tipping points”, are critical thresholds in a marine system that, when exceeded, can lead to a significant change in the state of the system, which often can be irreversible. This leaflet has been prepared mainly (but not only) for high school pupils with the financial support of Norges forskningsråd (309382).

  • Open Access English
    Authors: 
    Romero-Alvarez, Johana; Lupaşcu, Aurelia; Lowe, Douglas; Badia, Alba; Acher-Nicholls, Scott; Dorling, Steve R.; Reeves, Claire E.; Butler, Tim;
    Project: EC | ASIBIA (616938)

    Tropospheric ozone (O3) concentrations depend on a combination of hemispheric, regional, and local-scale processes. Estimates of how much O3 is produced locally vs. transported from further afield are essential in air quality management and regulatory policies. Here, a tagged-ozone mechanism within the Weather Research and Forecasting model coupled with chemistry (WRF-Chem) is used to quantify the contributions to surface O3 in the UK from anthropogenic nitrogen oxide (NOx) emissions from inside and outside the UK during May–August 2015. The contribution of the different source regions to three regulatory O3 metrics is also examined. It is shown that model simulations predict the concentration and spatial distribution of surface O3 with a domain-wide mean bias of −3.7 ppbv. Anthropogenic NOx emissions from the UK and Europe account for 13 % and 16 %, respectively, of the monthly mean surface O3 in the UK, as the majority (71 %) of O3 originates from the hemispheric background. Hemispheric O3 contributes the most to concentrations in the north and the west of the UK with peaks in May, whereas European and UK contributions are most significant in the east, south-east, and London, i.e. the UK's most populated areas, intensifying towards June and July. Moreover, O3 from European sources is generally transported to the UK rather than produced in situ. It is demonstrated that more stringent emission controls over continental Europe, particularly in western Europe, would be necessary to improve the health-related metric MDA8 O3 above 50 and 60 ppbv. Emission controls over larger areas, such as the Northern Hemisphere, are instead required to lessen the impacts on ecosystems as quantified by the AOT40 metric.

  • Research data . 2022 . Embargo End Date: 30 Aug 2022
    Open Access English
    Authors: 
    Spatharis, Sofie;
    Publisher: Dryad

    Artificial light at night (ALAN) is increasingly recognised as a disruptive form of environmental pollution, impacting many physiological and behavioural processes that may scale up to population and community-level effects. Mounting evidence from animal studies show that the severity and type of the impact depends on the wavelength and intensity of ALAN. This knowledge has been instrumental for informing policy-making and planning for wildlife-friendly illumination. However, most of this evidence comes from terrestrial habitats, while research testing alternative wavelength illumination in marine environments is lagging behind. In this study we investigated the effect of such alternative ALAN colours on marine primary producers. Specifically, we tested the effect of green, red, and natural white LED illumination at night, compared to a dark control, on the growth of a green microalgae as well as the biomass, diversity and composition of a phytoplankton assemblage. Our findings show that green ALAN boosted chlorophyll production at the exponential growth stage, resulting in higher biomass production in the green algae Tetraselmis suesica. All ALAN wavelengths affected the biomass and diversity of the assemblage with the red and green ALAN having the stronger effects, leading to higher overall abundance and selective dominance of specific diatom species compared to white ALAN and the dark control. Our work indicates that the wavelength of artificial light sources in marine areas should be carefully considered in management and conservation plans. In particular, green and red light should be used with caution in coastal areas, where there might be a need to strike a balance between the strong effects of green and red light on marine primary producers with the benefit they bring to other organisms. This was a laboratory research work involving 4 ALAN treatments: dark, green, red, natural white. Two experiments were conducted: one with a single species Tetraselmis suesica and anothe with a natural coastal phytoplankton assemblage. Experiments were carried out concurrently for 14 days each and data was collected in growth rate, chlrophyl a and species diversity and composition. no missing values

  • English
    Authors: 
    Xiong, Huang Fei;
    Publisher: Science Data Bank

    This dataset includes FY-3E GNOS-II GNSS-R Data for paper "First Operational Spaceborne GNSS Reflectometry with Galileo Signals: Measurements, Calibration and Wind Speed Retrieval" submitted to Geophysical Research Letters.The L1 data including DDMs are in the file L1_20220706_0321.zip. They are in HDF format.The L2 data including observables and retrieved winds are in the file process_data_2022_0701_0731.mat and process_data_2022_0801_0831.mat. The two months data are grouped into two files in MATLAB format. Here is the discription for each column of the data:1 Sws_num 2 Sws_track_id 3 Sws_utc_time 4 Sws_lat 5 Sws_lon 6 Sws 7 Sws_cyclone 8 Cross_track_resolution 9 Along_track_resolution 10 Sws_quality_flag 11 Sws_cyclone_quality_flag 12 Fresnel_coeff_square 13 Mean_square_slope 14 Obs_use_flag 15 Rfl_channel_id 16 Rx_lat 17 Rx_lon 18 Rx_alt 19 Gnss_prn_code 20 Gnss_sv_num 21 Gnss_block_flag 22 Incidence_angle 23 Sp_vel_mean 24 Azimuth_angle 25 Rx_antenna_gain 26 Total_corr_gain 27 Ddm_obs_num 28 Ddm_obs_utilized_flag 29 Ddm_sample_index 30 Ddm_nbrcs_mean 31 Ddm_les_mean 32 Ddm_dles_mean 33 Ddm_normalized_snr_mean 34 Ddm_peak_snr_mean 35 Ddm_sp_snr_mean 36 Ecmwf_sws 37 Ddma_sws_raw 38 Ddma_sws_rms 39 Ddma_sws_bias 40 Ddma_sws 41 Les_sws_raw 42 Les_sws_rms 43 Les_sws_bias 44 Les_sws 45 Dles_sws_raw 46 Dles_sws_rms 47 Dles_sws_bias 48 Dles_sws 49 Snr_sws_raw 50 Snr_sws_rms 51 Snr_sws_bias 52 Snr_sws 53 sws_raw 54 sws_rms 55 sws_bias 56 sws 57 k[0] 58 k[1] 59 k[2] 60 ws_bkg_sp 61 ws_ana_sp 62 ws_obs_sp 63 dir_bkg_sp 64 dir_ana_sp 65 1 for GPS,2 for BDS, 3 for GAL66 orbit number 67 year 68 DOY 69 hour70 collocated ECMWF wind speed

  • Open Access English
    Authors: 
    Galgani, Luisa; Tzempelikou, Eleni; Kalantzi, Ioanna; Tsiola, Anastasia; Tsapakis, Manolis; Paraskevi, Pitta; Esposito, Chiara; Tsotskou, Anastasia; Magiopoulos, Iordanis; Benavides, Roberto; +2 more
    Publisher: Zenodo
    Project: EC | POSEIDOMM (702747)

    Microplastics are substrates for microbial activity and can influence biomass production. This has potentially important implications in the sea-surface microlayer, the marine boundary layer that controls gas exchange with the atmosphere and where biologically produced organic compounds can accumulate. In the present study, we used six large scale mesocosms to simulate future ocean scenarios of high plastic concentration. Each mesocosm was filled with 3 m3 of seawater from the oligotrophic Sea of Crete, in the Eastern Mediterranean Sea. A known amount of standard polystyrene microbeads of 30 μm diameter was added to three replicate mesocosms, while maintaining the remaining three as plastic-free controls. Over the course of a 12-day experiment, we explored microbial organic matter dynamics in the sea-surface microlayer in the presence and absence of microplastic contamination of the underlying water. Our study shows that microplastics increased both biomass production and enrichment of carbohydrate-like and proteinaceous marine gel compounds in the sea-surface microlayer. Importantly, this resulted in a 3 % reduction in the concentration of dissolved CO2 in the underlying water. This reduction was associated to both direct and indirect impacts of microplastic pollution on the uptake of CO2 within the marine carbon cycle, by modifying the biogenic composition of the sea's boundary layer with the atmosphere. for information: luisa.galgani@icloud.com; luisa.galgani@unisi.it; lgalgani@geomar.de

  • Open Access English
    Authors: 
    Muglia, Juan; Mulitza, Stefan; Repschläger, Janne; Schmittner, Andreas; Lembke-Jene, Lester; Mix, Alan; Saraswat, Rajeev; Sikes, Elizabeth; Waelbroeck, Claire; Gottschalk, Julia; +10 more
    Publisher: Zenodo

    In paleoceanography, carbon and oxygen stable isotope ratios from benthic foraminifera are used as tracers of physical and biogeochemical properties of the deep ocean. We present the first version of the Ocean Carbon Cycling working group database, of stable isotope ratios of oxygen and carbon from benthic foraminifera from deep ocean sediment cores from the Last Glacial Maximum (LGM, 23-20 ky before present (BP)) to the Holocene (<10 ky BP) with a particular focus on the early last deglaciation (20-15 ky BP). It includes 287 globally distributed coring sites, with metadata, isotopic and chronostratigraphic information, and age models. A quality check was performed for all data and age models. Sites with at least millennial resolution were preferred, because the main goal is to resolve ocean changes associated with the last deglaciation on at least millennial timescales. Software tools were produced to access and analyze the data, and are included with this publication. Deep water mass structure as well as differences between the early deglaciation and LGM are captured by the data in the compilation, even though its coverage is still sparse in many ocean regions. We find high correlations among time series calculated with different age models at sites that allow such analysis. The database provides a useful dynamical approach to map physical and biogeochemical changes of the ocean throughout the last deglaciation. Custom python scripts to read and analyse the data base may be found in https://github.com/juanmuglia/OC3-python-scripts

  • English
    Authors: 
    Xiong, Huang Fei;
    Publisher: Science Data Bank

    Figures of TGRS paper "Characterization and Calibration of Spaceborne GNSS-R Observations over the Ocean from Different BeiDou Satellite Types"

  • English
    Authors: 
    Xiong, Huang Fei;
    Publisher: Science Data Bank

    FY-3E GNOS-II GNSS-R L2 Data in July, 2021.